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    • 专利摘要:
    The invention relates to a method for determining parameters capable of providing information on the state of a water distribution system comprising at least one pipe capable of transporting water, the method comprising the following steps: a step of import capable of importing on a calculator input values of at least one previously measured water parameter, measured at at least one entry point of the water distribution system and over a survey period comprising at least one minus a statement date; a selection step adapted to select at least one current point; an association step able to associate said current point with at least one entry point in the water distribution system; a determination step able to determine a current value of said at least one water parameter at the current point from input values at said entry point associated with said current point.
    公开号:FR3074818A1
    申请号:FR1761795
    申请日:2017-12-07
    公开日:2019-06-14
    发明作者:Flavia Zraick；Benjamin Rabaud；Noe Kinet；Julien Simon
    申请人:Suez Groupe SAS；
    IPC主号:
    专利说明:

    METHOD FOR EVALUATING THE CONDITION OF A WATER DISTRIBUTION SYSTEM
    TECHNICAL FIELD OF THE INVENTION
    The invention is in the field of water distribution.
    The invention relates more precisely to a process for determining parameters capable of evaluating the state of one or more water distribution systems (or networks).
    STATE OF THE ART
    The object of the invention is to allow a water distribution network manager to monitor his water network, to detect, and above all to act in a preventive manner on his network, or even to implement means which increase network life, and ensure regulatory compliance.
    In fact, in a large part of urban areas, drinking water distribution pipes are reaching a critical age and present a major risk of deterioration. Knowledge of the state of the network, mostly buried, is essential to master corrective actions (surveys, interventions, repairs, renewal, descaling, cleaning ...) but also preventive actions to mitigate the effects of degradation. The main problem is that the pipes are mostly buried and invisible. It is then difficult to detect and measure the degradation phenomena in order to act in a preventive and precise manner, without having to dig up the circuits (and therefore a good part of the network).
    Solutions are known for detecting past or current incidents (leaks, deterioration of water quality). This mainly concerns the detection and / or localization of the consequences of a malfunction. For example, the following patent applications can be cited.
    Patent application WO2013121298 relates to a computerized method for modeling a utility network (distribution network). The method includes retrieving data from a geographic information system (GIS), network heritage data, and sensor archive data from one or more elements of the utility network. The method includes the generation of one or more mathematical elements (graphics) from the recovered data, in order to carry out analyzes on the system.
    The valuation of data with mathematical graphs potentially linked between waters (reporting) is based on:
    - the identification of areas for monitoring and maintenance of the water flow in the utility network;
    - the identification of optimal locations in the network to install sensors and meters;
    - network modeling based on the links between known leak locations in the utility network and values such as historical leak data, characteristics or factors that influence leak rates: age of equipment; network complexity (quantity of pipes, fittings, valves, other connections ...); geographic properties helping to hide leaks, high pressures or significant pressure variability; estimated leak rate from historical repair files; historical data of flow meters and pressure meters; frequency of leaks, rate of water loss, delay in detecting a leak, repair costs, etc .;
    - generating alerts and proposing maintenance actions.
    Patent application WO2013084068 relates to a system and a method for identifying interrelated events in a monitoring system of a water supply network. The method includes identifying at least two reference events (so-called candidate events) from event data from a plurality of sensors. The anomaly is identified by comparing the data of an event with that of said candidate events.
    The determination that the two or more candidate events are related to a common fault event is reported to a user via a user interface.
    Patent application WO2012098467 relates to a method and a system for statistically determining one or more potential geographic locations of an anomaly that is suspected to have occurred in a region or an area of a water distribution network.
    A water distribution network is made up of a network of pipes for transporting water to consumers and includes meters positioned within the water distribution network. Meters are generally placed in various, irregular positions in the network and provide an incomplete set of data relating to the circulation and quality of water on the network as a whole. The meters measure values such as flow, pressure, tank levels, acidity, turbidity, chlorination, noise ... The meters can be placed on the inside or outside of the pipes, proximity to network devices, or other arbitrary locations.
    Patent application WO2012098467 is more specifically concerned with counters arranged within the limits, in the vicinity, or at locations hydraulically linked to the region or the zone of an anomaly and provide values which can be linked to the anomaly.
    The method may include receiving data from an abnormal event, the abnormal event data constituting an indication of an anomaly occurring or having occurred, in a region or area of the water distribution system. Types of anomalies include leaks, pressure drop, unusual increase in flow or water consumption, increased turbidity, unusual changes in chlorine levels, unusual changes in pH ...
    The method may include a plurality of tests performed on the abnormal event data, each of the tests being designed to statistically determine a potential geographic location of the abnormality in a region or area. Some of the tests are performed using abnormal event data and the associated counter data. Certain tests, for example those related to leaks, are carried out on abnormal meter event data representing some of the following quantities: flow rate, pressure, tank level, noise, or other indicators of hydraulic activity.
    Patent application WO2011107864 relates to a system and a method for monitoring water in a water distribution network, which is based on the recovery of meter data (at least flow and pressure), as well as secondary data from other sources (remote monitoring and data acquisition data, for example meteorological data, calendar data ...) and on the application of statistical models to predict other values.
    Secondary data represents one or more conditions that can affect the flow and / or consumption of water in a region served by the water distribution network. They can be: meteorological data; calendar data representing one or more factors affecting water consumption on a given date; repair data representing one or more repairs carried out on the water distribution network; of structural data representing a structure of the water distribution network.
    The detection of anomalies (leaks) is made by the comparison between the measured values and the predicted values.
    Patent application WO2006073502 relates to a system for detecting contaminants in real time in a water distribution network. The system makes it possible to monitor the quality of water at points distant from a water distribution network, using water sensors installed in places of end users, in order to detect contaminants downstream of the network. distribution system, and to send a signal in the event of an anomaly.
    Patent application W02010109117 relates to a device and a method for controlling the quality of water in a drinking water network. The physical water quality control device is intended to be mounted on a pipe dedicated to the distribution of water to a consumer. He understands :
    - a probe to measure at least one parameter of the water flow;
    - a contamination detection device based on the measurement of the probe;
    - a reverse flow detection device in the water pipe;
    - a disinfection device (depending on the detection or not of contamination) and / or a sealing device for closing the pipe (depending on the detection or not of a reverse flow);
    - and a control member.
    All of the information from the device can be sent to a control center capable of collecting network data and actuating valves remotely.
    Patent application WO2008148952 relates to a method and an installation for real-time monitoring of the quality of the water in a distribution network.
    The process for controlling, in real time, the quality of the water in a drinking water distribution network includes consumption meters equipped with remote control devices on the one hand, and analyzers on the other hand online distributed at monitoring points for the measurement of at least one water quality parameter. In addition :
    the consumption data of the meters equipped with remote reading devices, as well as the measurements of the analyzers are transmitted to a calculation unit comprising a hydraulic model and a kinetic model of decrease of the quality parameter considered;
    - the calculation unit constantly updates the hydraulic model according to the consumption data received from the meters;
    - the calculation unit establishes estimated values of the quality parameter considered at the various network monitoring points;
    - And a pre-alert system performs a comparison between the estimated values of the quality parameter and the values measured at different points in the network, an alert being triggered when the difference between the measured value and the estimated value exceeds a predetermined threshold.
    The water quality parameter constitutes a water quality tracer which makes it possible in real time to identify if the network has been degraded and / or the water has been polluted. The parameters described are the chlorine content and the turbidity, but it is mainly the chlorine content which serves as examples.
    Thus, it can be seen that the vast majority of prior art solutions are based on one of the two categories of solutions.
    The first category of solutions is based on the determination by statistical methods of the consequences of the degradation (detection of leaks, historical frequency of breakages) or of the theoretical notions on the degradation (age of the conducts). These solutions try to anticipate future occurrences based on past incidents. These solutions have major drawbacks:
    - the past is not necessarily representative of the future. The degradation of materials (for example pipes) does not evolve in a linear fashion. The consequences of degradation tend to increase exponentially and the prediction of future performance based on the past can considerably underestimate the state of degradation of the pipes and therefore the need for intervention;
    - it is necessary to wait until occurrences and malfunctions are detected in sufficient quantity to allow modeling of the future. However, for serious incidents, and in particular those concerning strategic pipes (for example large pipes for the transport of water) and which have to meet regulatory and contractual constraints on the water distributed, it is preferable to avoid or limit the measurable effects of degradation;
    - parts of the network or the immediate environment of the materials may have undergone changes, for example in the event of repair, or in the event of anticipation aimed at reducing the factors of degradation. It therefore becomes even more complicated to anticipate the future by referring only to past conditions and events;
    - the anticipation of anomalies on critical areas of the network cannot be sufficiently precise, since the solutions do not notably integrate major precursor factors linked to the chemical and physical phenomena which act on the elements (pipes, valves, elbows, etc. .) of the network, both the precursor factors from the inside and the factors from the outside of these elements.
    The second category of solutions is based on solutions of continuous data analysis type to detect deviations of a parameter compared to a normal parameter and to trigger an alert and / or other action (s) in case of 'water quality anomaly, locally and in real time. These solutions have major drawbacks:
    - detection is local and does not extend to the network;
    - detection is in real time and does not allow anticipation of future anomalies;
    - in the event of an anomaly detection, the part of the degraded network must be isolated, and as this could not be anticipated, this can generate interruptions in all or part of the distribution system.
    In addition, for all of the solutions presented:
    - none addresses the theme of the corrosive potential of distributed water;
    - none plans to integrate data on soil quality;
    - no known solution provides for integrating information on the state of the pipes of the distribution network;
    - none aims to capitalize on historical data in order to make analyzes on the trend of evolution of parameters and phenomena over a long period;
    - no solution integrates a scientific, and / or physical and / or physicochemical calculation module to generate data, known calculation methods mainly aiming at comparing data and detecting incidents;
    - no solution aims to locate and determine the intensity of the phenomena of degradation of materials and of the quality of water on the distribution network;
    Finally, all solutions are designed to be applied to a given network or system. No solution aims to have a method which can be exploited on several networks, for example to compare data characterizing the state of degradation between several networks, several locations, and / or typologies of different networks.
    The parameters that characterize water chemistry, and its potential for interaction with elements of the network to trigger degradation phenomena are generally not exploited, and sometimes not very available.
    Indeed, the control of the quality of the water distributed is often done through a limited number of parameters which are easy to measure, for example sensors, field methods, or even sometimes require more complex and / or long tests, like laboratory tests. To qualify the corrosive or aggressive potential of water, it is however particularly necessary to have more complete data as to the chemical composition of water.
    The invention aims to overcome the aforementioned drawbacks of the prior art.
    More particularly, the objective of the invention is to have a method capable of evaluating in a predictive and precise manner the state of degradation of elements or areas of a water distribution network, or of a network as a whole, or even for several water distribution networks.
    In other words, an evaluation method is sought which is not solely local, which can anticipate in advance that elements of the network or zones are likely to deteriorate, and which can carry out a precise evaluation, in particular more precise than only statistical methods.
    In addition, the method should be simple to use, fast, and should not require long and / or complex measurements or tests, such as laboratory tests.
    In addition, the invention aims to exploit the most measured and capitalized data on the network and on the water circulating in the network, so as to increase the evaluation accuracy.
    STATEMENT OF THE INVENTION
    An object of the invention to achieve this object is a method for determining parameters capable of providing information on the state of a water distribution system comprising at least one pipe capable of transporting water, the method including the following steps:
    an import step capable of importing into a computer input values of at least one previously measured water parameter, recorded at at least one entry point of the water distribution system and over a period of statement including at least one statement date;
    a selection step capable of selecting at least one current point;
    an association step capable of associating said current point with at least one entry point into the water distribution system;
    a determination step capable of determining a current value of said at least one water parameter at the current point from input values to said at least one entry point associated with said current point.
    The determination step is preferably carried out using the computer.
    In the example of the present description, by reading period, it is necessary to understand a time interval between two given dates, said time interval comprising at least one date on which a reading was taken at the point of entry, said date being called "statement date".
    The input values of at least one water parameter recorded at at least one entry point of the water distribution system are generally carried out by measurements carried out regularly by the operator, at a frequency which depends distribution system, number of inhabitants ...
    In the example of this description, the terms upstream and downstream are defined in relation to the main direction of water circulation in the distribution system.
    In the example of this description, the entry point (s) are said to be associated with a current point when it (s) is (are) located upstream of said current point, and that the water which reaches said current point comes from the entry point (s).
    According to one embodiment, the method further comprises a step of measuring at least one current parameter measured at at least one current point during a measurement period, the step of determining being carried out from values d entry to said at least one entry point associated with the current point and said at least one measured current parameter, the measurement period comprising at least one measurement date, later than or equal to the reading period.
    In the example of the present description, by measurement period, it is necessary to understand a time interval between two given dates, said time interval comprising at least one date on which a measurement was carried out at the current point, said date being called "measurement date".
    According to one embodiment, the method further comprises an implementation step capable of implementing in the computer system data for the water distribution system, said system data comprising at least data on the pipe (s) ) and data on the direction of water flow in the pipe (s).
    The system data implementation step may be prior to the selection step.
    According to one embodiment, the method further comprises a modeling step subsequent to the step of implementing system data and capable of generating a model of water flow in the water distribution system, said model being obtained from system data.
    The water flow model can be generated from software such as EPANET and system data.
    According to one embodiment, the import step is able to import input values of at least one water parameter at several entry points. In this case, the association step of the method is able to associate between them N current point (s) and M entry points, where M> 1 and N> 1. The values of the numbers M and N and the ratio between these numbers depend on the network, the number of inhabitants.
    According to one embodiment, the association step is carried out as a function of the model for the flow of water in the system, preferably obtained during the modeling step.
    According to one embodiment, the method further comprises a step of zoning the water distribution system into several zones, capable of defining several zones, a zone comprising at least one current point associated with one or more entry points.
    The zoning step is preferably performed using the water flow model in the system, preferably obtained during the modeling step.
    According to one embodiment, a water parameter is the concentration in water of at least one chemical compound, for example calcium (Ca) and / or magnesium (Mg) and / or sodium (Na) and / or potassium and / or sulfates and / or nitrates and / or silicates and / or chlorides of bicarbonate (HCO 3 _).
    According to one embodiment, a parameter of water is the total chemical composition of water.
    According to one embodiment, a parameter of the water is the pH and / or the conductivity and / or the temperature.
    According to one embodiment, the determination step comprises the following steps:
    if the current point is associated with a single entry point, then the current value of at least one water parameter is assigned the time value of the input values of said parameter;
    if the current point is associated with at least two entry points then o either the time average of the input values of at least one water parameter is calculated for each entry point associated with said current point, we weight each time average calculated by a first weighting coefficient, and the current value of said parameter is assigned a value equal to the sum of all the entry points of the weighted time averages, the sum of the first weighting coefficients being equal to 1;
    o either the current value of at least one water parameter is assigned the time average value of the input values of said parameter at the hydraulic entry point closest to the current point;
    the time average of the input values of a water parameter being the average of said input values over a calculation period comprising at least one reading date.
    In the example of the present description, by calculation period, it is necessary to understand a time interval between two given dates, said time interval comprising at least one statement date.
    The calculation period can be confused with the statement period. It can be offset from the reading period. It can be included in the statement period.
    If, in the chosen calculation period, there is only one reading date, then the time average of the input values of a water parameter at an entry point is equal to the value d 'entry at this entry point on the statement date.
    The weighting by a first weighting coefficient can be done arbitrarily or can be calculated.
    According to one embodiment, the first weighting coefficient of an entry point can be equal to the time average of the entry values for an entry point divided by the sum of the time means of the entry values of all entry points.
    By the terms "entry point hydraulically closest to the current point" is meant: the entry point the distance from the current point, following the distribution network, is the shortest.
    According to one embodiment, a water parameter is the value of the conductivity of the water.
    According to one embodiment, the inlet conductivity of the water is measured at at least one inlet point.
    According to one embodiment, the input water conductivity is calculated at at least one entry point, from input values of water parameters at said at least one entry point.
    According to one embodiment, a measured current parameter is the current conductivity of the water measured at a current point on a measurement date.
    According to one embodiment, the determination step comprises the following steps:
    if the current point is associated with a single entry point, and:
    o if the absolute value of the difference between the current conductivity and the input conductivity is less than or equal to a percentage x of the current conductivity, then the current value of at least one water parameter is assigned the or the input values of said parameter taken at the previous reading date and temporally closest to the measurement date, or equal to said measurement date;
    o if the absolute value of the difference between the current conductivity and the input conductivity is greater than a percentage x of the current conductivity, then the time value of at least one water parameter is assigned the time average input values of said parameter;
    if the current point is associated with at least two entry points and:
    o if the absolute value of each difference between the current conductivity and the input conductivity at each entry point associated with said current point is less than or equal to a percentage x of the current conductivity, then the current value of is assigned at least one water parameter the time average of the input values of said parameter at the point of entry at which the water input conductivity is closest to the current water conductivity;
    o if the absolute value of at least one difference between the current conductivity and the input conductivity at each entry point associated with said current point is greater than a percentage x of the current conductivity, then:
    either the time average of the input values of at least one water parameter is calculated for each entry point, the time average calculated for each entry point is weighted by a second weighting coefficient as a function of the ratio between the inlet water conductivity at said inlet point and the current conductivity, and the current value of said parameter is assigned a value equal to the sum of the weighted time averages;
    the sum of said second weighting coefficients being equal to 1;
    either the current value of at least one water parameter is assigned the time average of the input values of said parameter at the hydraulic entry point closest to the current point;
    the time average value of the input values of said parameter being the average of said input values over a calculation period comprising at least one reading date and one measurement date, the reading date being before or equal to the measurement date , and the value of the percentage x being defined as a function of the desired precision.
    In this case, the calculation period must therefore also include at least one measurement date.
    The value of the percentage x can for example be defined according to the variability of the water quality and / or the accuracy of the measurement.
    According to one embodiment, if the current point is associated with a single entry point, and if the absolute value of the difference between the current conductivity and the input conductivity is greater than a percentage x of the current conductivity, then the current value of at least one water parameter is assigned the time average of the input values of said parameter, weighted by the ratio between the input water conductivity and the current water conductivity , the time average value of the input values of said parameter being the average of said input values over a calculation period comprising at least one reading date and one measurement date, the reading date being earlier or confused with the date of measured.
    According to one embodiment, the calculation period is obtained using the water flow model, preferably obtained during the modeling step.
    According to a preferred embodiment, the calculation period is obtained empirically.
    If, we choose a calculation period in which there is only one reading date, then the time average of the input values of a water parameter for an entry point is equal to the value entry date. In this case, it is preferable to choose a calculation period whose statement date is close to the measurement date.
    According to one embodiment, the method further comprises a step of calculating at least one degradation index at at least one point from at least one value of water parameters at said at least one point.
    According to a particular embodiment, the step of calculating at least one degradation index is carried out at at least one current point from at least one current value of water parameters, determined during the step of determination in the at least one current point.
    A degradation index makes it possible to determine the potential for degradation of network pipes (inside and outside of pipes), including elbows, valves, pumps, and more generally of the network or even of the water quality.
    According to one embodiment, the step of calculating at least one degradation index at at least one current point is also carried out on the basis of a current parameter measured at said current point.
    According to one embodiment, a current parameter measured at a current point is the pH of the water, the step of calculating at least one degradation index comprising the following steps:
    a step of calculating an equilibrium pH (pHs) of water from current values of concentration of chemical compounds in the water determined at said current point then; a step of comparing the pH and the equilibrium pH (pHs) at said current point then;
    a step of deducing an index of degradation of the water distribution system at said current point.
    In this case, this makes it possible in particular to assess the risk of degradation of a cement pipe at said current point.
    According to one embodiment, the at least one water parameter comprises at least the concentration of water in chlorides and / or in sulfates, and the step of calculating at least one degradation index comprising a step of deduction of a degradation index of the water distribution system at at least one current point as a function of current values determined at said current point of at least one concentration of water in chlorides and / or sulphates.
    In this case, this makes it possible in particular to assess the risk of degradation of a pipe made of ferrous material at said current point.
    According to one embodiment, the step of calculating at least one degradation index comprises the use of a corrosion index able to calculate a corrosion rate.
    According to one embodiment, the step of calculating at least one degradation index comprises the use of a particle emission index capable of providing information on the quality of the water at at least one current point.
    Said indices make it possible in particular to determine the release of particles due to corrosion in the water.
    According to one embodiment, the method further comprises a step of estimating the lifetime of one (or more) pipe (s) of the distribution system by combining one or more degradation index (s) with data. system input.
    According to one embodiment, the method further comprises a step of defining critical areas among the areas defined during the zoning step of the system.
    According to one embodiment, the method further comprises a step of verifying at least one degradation index of the water distribution system comprising:
    • a step of measuring magnitudes of degradation of said system at at least one point of the distribution system;
    • a step of comparing the magnitudes of degradation measured with the degradation indices calculated at said at least one point during the step of calculating degradation indices.
    The point can be an entry point or a current point.
    According to one embodiment, the method further comprises a step of resetting the at least one degradation index of the water distribution system, using the measured degradation quantities of said system at current points or at entry points. during the verification stage.
    According to one embodiment, the step of calculating at least one degradation index and / or the verification step, and / or the registration step comprises a step of analyzing the environment and / or the water distribution system.
    In particular, this may include a step of measuring the soil sample around said system, and / or measuring directly at the level of the pipes in order to verify the actual state of degradation of the system.
    Thus, the invention relates to a method which makes it possible to generate information on the state of degradation of a distribution network, and in particular drinking water distribution pipes in order to identify points and / or risk of breakage and significant deterioration in the quality of the water transported.
    The results can be geolocated using an intuitive interface which displays the critical areas (in other words at risk of degradation) in order to allow network managers to launch actions to prevent serious incidents such as major breakages and nonconformities .
    These preventive actions may include the installation of conditioning treatments for transported water, the strategic renewal of pipes with a higher risk of breakage, the implementation of network cleaning operations.
    According to one embodiment, the method further comprises a correction step comprises a step of sending to a control system at least one degradation index calculated and / or readjusted, the control system being able to act on the system distribution system and / or on the water so as to correct the state of said water distribution system.
    According to a particular embodiment, the correction step consists in adding one or more reagents to the water, the quantity of a reagent being calculated by the control system as a function of at least one index. calculated and / or failed degradation.
    Unlike the methods which use a history of past occurrences to anticipate future incidents, which is sometimes too late to act in a preventive manner, the method according to the invention exploits a maximum of measured and / or capitalized data, addresses the phenomena of interactions between water, the quality and parameters of which (velocities, pressure, etc.) vary at all points in the network and the distribution system itself (pipes, valves, pumps, etc.), or even between distribution system and its external environment.
    Thus, the invention presented combines information on the actual, measured or calculated state of the water and the network with information on the physical and chemical degradation phenomena which act at the interface between the water and the network, especially between water and mains pipes.
    DESCRIPTION OF THE FIGURES
    Other characteristics and advantages of the invention will become apparent with the aid of the description which follows, given by way of illustration and not limitation, made with reference to the appended figures among which:
    Figure 1 illustrates a first example of part of a water distribution network;
    Figure 2 illustrates a second example of part of a water distribution network;
    Figure 3 illustrates a third example of part of a water distribution network;
    FIG. 4 illustrates a fourth example of a part of a water distribution network;
    FIG. 5 illustrates a first embodiment of the method according to the invention;
    FIG. 6 illustrates a second embodiment of the method according to the invention;
    FIG. 7 illustrates a third embodiment of the method according to the invention;
    FIG. 8 illustrates a fourth embodiment of the method according to the invention;
    FIG. 9 illustrates a fifth embodiment of the method according to the invention;
    FIG. 10 illustrates a first embodiment of the determination step;
    FIG. 11 illustrates a second embodiment of the determination step;
    FIG. 12 illustrates a third embodiment of the determination step.
    DETAILED PRESENTATION OF PARTICULAR EMBODIMENTS
    Figures 1 to 4 illustrate several diagrams which correspond to several examples of parts of a water distribution system 100.
    A water distribution system can also be called a distribution network in the present description.
    A water distribution system 100 is adapted to transport water from a production site to consumption sites.
    A computer C makes it possible to carry out the various stages of the method according to the invention. It is generally not physically connected to the distribution system.
    The system 100 comprises one or more pipes 2 able to transport water 3, in particular between an entry point 10 and a running point 110.
    An entry point can be located in a water treatment plant. It can also be called a "water distribution point".
    A current point generally corresponds to a point in the distribution network in which all or part of the following parameters are measured: pH, conductivity, temperature. These are points cleverly and / or legally arranged by the manager or designer of the distribution network at locations in the water distribution system, and equipped to carry out such measurements. The number of these points varies according to the length of the network, the population. This is regulated for example in France.
    The different parameters of interest for a water distribution system are as follows:
    Settings Value obtained Means of obtaining Calcium Concentration Measured or correlated Magnesium Concentration Measured or correlated Sodium Concentration Measured or correlated Potassium Concentration Measured or correlated Alkalinity (HCO 3 ) Concentration Measured or correlated Chloride Concentration Measured or correlated sulfates Concentration Measured or correlated nitrates Concentration Measured or correlated silicates Concentration Measured or correlated PH PH value Measured
    Conductivity Conductivity value Measured or calculated Temperature Temperature value Measured pHs PH balance Calculated
    If, in general, you have access to the water concentration parameters at the entry points, which in particular allows you to deduce a conductivity value (which can also be measured at the entry point), generally does not have access to all the concentration parameters at current points, and even less over the entire length of the pipeline.
    In addition, if the water at a current point comes from different factories, there is a mixture of water, and therefore a mixture of different qualities of water.
    A current point 110 can be associated with a single entry point 10, in other words the water passing through said current point 110 can be supplied by a single entry point 10.
    A current point 111, resp 112 can be associated with several entry points 11, 21, resp 12, 22, 32, in other words the water passing through said current point 111, resp 112 can be supplied by several entry points 11,21, resp 12, 22, 32.
    The system 100 can be organized into several zones 101, 102, 103, each zone can for example group together entry points and associated current points between them.
    FIG. 5 illustrates a first embodiment of the method for monitoring a water distribution system 100 comprising the following steps:
    a step of import IMPORT of input values VE of at least one water parameter recorded at at least one entry point 10 of the water distribution system 100 and over a period of reading At re ieve comprising at least one date of reading t re ieve then, a selection step SELECT able to select at least one current point 110 then, an association step ASSO able to associate said current point with at least one entry point 10 in the water distribution system 100 then a DETER determination step capable of determining a current value VC of said at least one water parameter at current point 110 from input values VE at said at least one entry point 10 associated with said current point.
    The current point 110, as well as the entry point or points 10 are recorded in the computer C.
    The DETER determination step is carried out using the computer C.
    There may be periods of readings At re IEVE, and records dates t re IEVE different in different entry points.
    Thus, the method according to the invention must start by using data coming from one or different water production points (entry points). The data are the VE input values of water parameters.
    Then, it is essential to select at least one current point, located downstream of the entry point (s). The association of the selected current point with one or more entry points is carried out by knowing the configuration of the flow of water in the network. And it is essential for knowing the qualities of the waters which come from the entry points and which reach the current point, and in particular to know the different waters which mix before reaching the selected current point.
    Figure 5 illustrates the 4 steps performed one after the other. Alternatively, only the DETER step can be performed after the other steps, all or part of the IMPORT, SELECT and ASSO steps can be performed in any order, or in parallel, before the DETER step.
    In general, for all the embodiments of the method illustrated in FIGS. 5 to 9, the different steps may not be carried out in the order illustrated.
    FIG. 6 illustrates a second embodiment of the method, in which the steps SYSTEM, MODEL are added.
    The SYSTEM step is an implementation step in the system data computer S, for the water distribution system 100. The system data includes at least data on the pipe (s) and data on the direction of water flow in the pipe (s).
    This is generally geo-localized data on the entire distribution network studied, which may include in particular and not exclusively:
    the material of the pipes, the diameters, the lengths, the dates of laying, the depths of laying;
    network hydraulics with, in particular, flow rates, directions and flow speeds;
    internal operating pressures (min, max, avg); the history of water quality analyzes carried out at different points in the drinking water network;
    the typology of soils;
    the history of broken pipes recorded on the network;
    the result of conduct diagnostics;
    the history of customer complaints of quality deterioration.
    The SYSTEM step of implementing system data may be prior to the SELECT step.
    The MODEL step is a modeling step capable of generating a model M of water flow in the water distribution system 100, said model being obtained from system data. The MODEL step is later than the SYSTEM step.
    The water flow model can be generated from software such as EPANET and system data.
    The ASSO association step can thus be performed using the model generated during the MODEL modeling step.
    This is very advantageous when there is a complex network, with several entry points associated with several common points.
    FIG. 7 illustrates a third embodiment of the method, in which a MESUR step is added, with respect to the first mode. This step provides for the measurement at at least one current point 110 of at least one current parameter P. This measurement is carried out during a measurement period At me on. The determination step DETER is then carried out on the basis of input values VE and of said at least one current measured parameter, the measurement period At me on comprising at least one measurement date t me on, later or confused with a date of statement re reveived ·
    Figure 8 illustrates a fourth embodiment of the method, which is a combination of the second and third embodiments.
    FIG. 9 illustrates a fifth embodiment of the method according to the invention in which the steps ZONAG, DEGRAD, ESTIM, CRITIC are added.
    The ZONAG zoning step of the water distribution system 100 makes it possible to define several zones 101, 102, 103 for said system, a zone comprising at least one current point 110, 111, 112 associated with at least one entry point 10 , 11,21, 12, 22, 32, 13.
    The zoning step consists of distributing the distribution system 100 into different geographic zones 101, 102, 103, which are all zones in which the flow of water and the quality of water can be more precisely modeled. . Thus, we can associate with each zone these data of water flow and water quality, for example for a given period of time.
    The MODEL modeling step can contribute to or allow the distribution of the water distribution system 100 into zones, during the ZONAG zoning step.
    Indeed, it is important to carry out the zoning step, to understand the configuration of the flow of water in the network, to know where the qualities of the water are similar, how the different sources of water are mix.
    All of the zones represent the general organization of the water distribution system 100. Thus, once the calculations have been made for each zone, the grouping of the different zones makes it possible to find the water distribution system 100 as a whole, enriched with the data and information determined during the DETER steps carried out in each zone.
    The steps of import IMPORT, of selection SELECT, of association ASSO and of determination DETER can be carried out for each of the zones, in order to determine a current value VC of parameter (s) of the water at the current point contained in a zone 101 from input values VE of at least one entry point 10 associated with said current point 110 and contained in the area 101. This has the advantage of performing extrapolation calculations in a less complex manner, by area, especially for a complex water distribution system. In each zone, the flow configuration is simplified.
    Each configuration by zone is associated with one or more periods of time, which often correspond to seasons of the year. This means that the entry points, with their data set collected on different dates, can be assigned to different flow configurations and different zones depending on the season.
    The DEGRAD calculation step consists in determining at least one degradation index ID at at least one current point 110, 111, 112 from at least one current value VC of water parameters at said at least one determined current point during the DETER determination step.
    The DEGRAD step can consist in determining kinetic values of internal and / or external degradation of the distribution network, in particular pipes, for specific current points and / or for zones defined in the ZONAG step, or even in entry points.
    The DEGRAD calculation step at current points implements the calculation of values of different indices relating to the degradation potential, on the basis of the data extrapolated in the DETER step, in particular in combination with data measured during the step MEAS.
    Several indices for characterizing the degradation are considered, for example the Langelier index, the Larson index, the SUEZ corrosion index and the SUEZ particle release index.
    The index values are then converted into notions of internal and external degradation kinetics of the distribution network for specific points and / or zones defined in the ZONAG step. This conversion can be carried out with degradation models developed specifically by SUEZ or with degradation models from the literature.
    A degradation index considered may be the Langevier index (LSI). In this case, a current parameter measured at the current point is the pH of the water, the step for calculating the degradation index at this current point comprising the following steps:
    - a step of calculating a pH (equilibrium pH) of the water from current values of concentration of chemical compounds in the water determined at said current point then;
    a step of comparing the pH and the pHs at said current point then;
    - a step of deducing an index of degradation of a pipe at said current point.
    The Langelier index is therefore an index which corresponds to the formula LSI = pH-pHs, with the following results:
    - If LSI> 0, it is encrusting or scaling water
    - If LSI <0: this is aggressive water for CaCO 3
    - If LSI = 0: the water is in equilibrium, saturated with CaCO 3 , which implies that deposits of CaCO 3 are neither deposited nor dissolved.
    The Langelier index is advantageous for characterizing the degradation of cement pipes.
    Another degradation index considered may be the Larson index. In this case, at least one water parameter at a current point comprises at least the concentration of water in chlorides and / or sulphates, the step of calculating the degradation index comprising a step of deducing the Larson index at this point as a function of current values of at least one concentration of water in chlorides and / or sulphates determined at at least one current point.
    The Larson index (metal corrosion index or La) corresponds to the formula:
    La = ([CI -] + 2 * [SO 4 2 ']) / [HCO 3 -] Concentration expressed in mol / l.
    Or La = [(sulfates x 2] + chlorides] / alkalinity.
    Thus, tables give trends in corrosion as a function of the Larson La index calculated:
    - If La <0.2: no tendency to corrosion
    - If 0.4 <La> 0.2: weak tendency
    - If 0.5 <La> 0.4: slight tendency
    - If 1.0 <La> 0.5: average trend
    - If La> 1.0: clear tendency to corrosion
    We therefore consider that the risk begins as soon as La> 0.5. However, depending on the country, the recommendations may be different.
    The Larson index is advantageous for characterizing the degradation of pipes made of ferrous material.
    Other indices can be used, such as the Buffer index (β):
    „_„ „([H 2 CO,] [HCO, ~] [HCO, -] [OH -] 1 C T , CO, C T , CO, J
    Where C T , CO, are the total concentrations of carbonaceous species, expressed in moles / L
    Two other indices considered can be the SUEZ ICsuez corrosion index and the SUEZ PRIsuez particle release index. These indices are explained in the publication “Predicting the effect of water quality on water distribution cast iron and steel pipes using two novel indices ". M. Philibert et al. / Novel corrosion indices for iron and steel pipes Water Science & Technology: Water Supply / in press / 2017.
    The ICsuez corrosion index is used to calculate a corrosion rate: it is calculated from the Buffer index (β), the Langelier index (LSI) and the Larson index (La).
    _ κ x (i + Æ) x (1 + β) ρ
    ICsuez - ~ β where the β index (in mmol / L) is determined by chemical simulation of HCl injection, and where:
    p = 1 if LSI <0 or p = -1 if LSI> 0
    K = 1 if pH> 7 or K = f La λ if pH <7 r (1 + Ld) r
    - If ICsuez 2: low risk of corrosion
    - If 2 <ICsuez 9: moderate risk of corrosion
    - If 9 <ICsuez 16: high risk of corrosion
    - If ICsuez> 16: very high risk of corrosion
    The PRI particle release index provides information on water quality at at least one current point. : it is also calculated from the Buffer index (β), the Langelier index (LSI) and the Larson index (La).
    PRIsuez = (1 + La) x (l + β) ρ where the index β (in mmol / L) is determined by chemical simulation of HCl injection, and where p = 1 if LSI <0 or p = -1 if LSI> 0
    - If PRIsuez 1: very low risk of particle release
    - If 1 <PRIsuez ^ 4: low risk of particle release
    - If 4 <PRIsuez ^ 10: high risk of loosening of particles
    - If PRIsuez> 10: very high risk of particle release
    The ESTIM estimation step makes it possible to estimate the lifetime of at least one pipe 2 of the distribution system 100 by combining at least one degradation index ID with system input data S.
    It consists in carrying out calculations which combine the results of the DEGRAD step (degradation indices) with data which characterize the distribution system, and in particular the pipes of the network (age, dimension, type of materials, distribution pressure, depth of laying ...) consolidated in the SYSTEM step, this to estimate a residual service life for specific current points and / or zones defined in the ZONAG step.
    The CRITIC definition step makes it possible to determine the critical zones among the zones defined during the ZONAG zoning step of the system 100, and to distinguish them geographically.
    The criticality of an area is determined by one or more of the following factors:
    - very high theoretical potential for pipe degradation;
    - very high theoretical potential for degrading water quality;
    - very high measured level of pipe degradation;
    - very high measured level of deterioration in water quality;
    - combination of high theoretical potential for pipe degradation and high measured level of pipe degradation;
    - combination of high theoretical potential for water quality degradation and high measured level of water quality degradation.
    The DETER determination step aims to extrapolate the parameter values, and in particular the chemical composition of the water, known and recorded at the network entry points in order to carry out the calculations which characterize the degradation phenomena in the entire said distribution network.
    The objective is to make the most of these values, also called data, and to determine correlated values at other points in the network.
    The step of determining these values correlated to the current points can be carried out in different modes, depending on the configuration of the distribution network and / or the zoning of this network. These different modes are illustrated in Figures 10 to 12.
    For all of Figures 10 to 12:
    - the "complete input data" on a date of reading t re ieve at an entry point concerns the input values of the following water parameters: the conductivity σ (measured or calculated), concentrations of compounds chemicals in water, and possibly pH and temperature;
    - the "complete current data" at a calculation date t ca i c at the current point concern at least the current measured values of the following water parameters: the conductivity σ, and possibly, the pH and temperature.
    FIG. 10 illustrates the case where the current point 110 is associated with a single entry point 10. The following steps are illustrated:
    Step A1: for a selected calculation period At ca i c , selection of a first calculation date t ca i c included in the period At ca i c and at which the current data are complete in point 110;
    Step A2: selecting at least one statement date t re IEVE prior to the first calculation date t ic ca selected in step A1 for which the input data is complete at point 10 (preferably statement date t re ieve from entry point 10 is chosen to be as close as possible to the calculation date t ca i c );
    Step A3: calculation of the absolute value | Δσ | of the difference between the conductivity σ Ί0 point 10 at time t re IEVE and conductivity is 0 from the point 110 at time t ic ca;
    Step A4: if | Δσ | is less than or equal to x% of the conductivity ono, then we refer to point 110 for the date t ca ic the values of the concentrations of chemical compounds noted in point 10 at the date t re ieve closest to the date tcalc>
    Step A4 bis : if | Δσ | is greater than x% of the conductivity σ-no, then we refer to point 110 for the date t ca i c the average values over the time period At ca i c of the concentrations for each chemical compound noted in point 10 at the dates t re | e vé,
    Step A5 (DEGRAD step): calculation of the ID degradation indices making it possible to qualify the interactions between water and materials at points 10 and 110:
    Step A6 (optional): applying steps A1 to A5 for a second preceding calculation date t ic ca at which the data is complete to the point 110.
    FIG. 11 illustrates the case where the current point 111 is associated with two entry points 11,21.
    Step B1: for a selected calculation period At ca i c , selection of a first calculation date t ca ic included in the period At ca i c and at which the current data are complete in point 111;
    Step B2: selecting, for each point 11, 21, at least one statement date t re IEVE prior to the first calculation date t i ca c selected in step B1 to which the input data are complete (preferably statement date t re IEVE of each entry point is selected to be as close as possible to the calculation date ca t i c);
    Step B3: calculation, for each entry point, of the absolute value | Aa | 1 (resp | Δσ | 2 ) of the difference between the conductivity on (resp σ Ί2 ) of the entry point 11 (resp 21) on the date t re ieve and the conductivity om of the current point 111 on the date t ca i c ;
    Step B4: if lAa ^ and / or | Δσ | 2 is less than or equal to x% of the conductivity om of point 111, then an entry point is selected for which the value | Δσ | is the smallest and point 111 is assigned for the date t ca ic the values of the concentrations of chemical compounds recorded at said entry point at the date t re ieve closest to the calculation date t ca i c ;
    Step B4 bis : otherwise, we calculate the weighting quotients lâ £ k e t -lâ £ k e t we assign to current point 111 for the date σΐΐ σ21 rr tcaïc, and for each chemical compound whose concentration in water is known to point inputs 11 and 21, a Cm concentration value equal to 1 ± x C x C 21 where Cn is the concentration of said chemical compound in water raised at the entry point 11 at time t the re IEVE closest to the calculation date t ca i c and C 2 i is the concentration of the said chemical compound in the water recorded at the entry point 21 on the nearest date to the calculation date t ca ic;
    Step B5 (DEGRAD step): calculation of the ID degradation indices making it possible to qualify the interactions between water and materials in points 11,21 and 111:
    Step B6 (optional): application of steps B1 to B5 for a second preceding calculation date t ic ca at which the data is complete to the point 111.
    FIG. 12 illustrates the case where the current point 112 is associated with more than two entry points 12, 22, 32.
    Step C1: for a selected calculation period At ca i Cl selection of a first calculation date t ca i c included in the period At ca i c and at which the current data are complete in point 112;
    Step C2: selection, for each entry point 12, 22, 32, of at least one statement date t re ieve prior to the first calculation date t ca i c selected in step C1 and for which the data input is complete (preferably statement date t re IEVE of each entry point is selected to be as close as possible to the calculation date ca t i c);
    Step C3: calculation, for each entry point, of the absolute value | Aa | 1 (resp | Δσ | 2 , | Δσ | 3 ) of the difference between the conductivity σ Ί2 (resp σ 22 , resp σ 22 ) of the entry point 12 (resp 22, 32) at the date t re ieve and the conductivity σ ΊΊ2 from current point 112 to date t ca i c ;
    Step C4: if lAa ^ and / or | Δσ | 2 and / or | Δσ | 3 is less than or equal to x% of the conductivity σ ΊΊ2 of the point 112, then an entry point 12, 22, 32 is selected for which the value | Δσ | is the smallest and we assign to point 112 for the date tcaïc the values of the concentrations of chemical compounds recorded at said entry point selected on the date t re ieve closest to the calculation date t ca i c , otherwise:
    Step C4bi S : we calculate the weighting quotients, -ΙΔσΐζ jaœIs Qn at p O j n t current 112 for the date σ22 σ32 rr tcaïc, and for each chemical compound whose concentration in water is known at the entry points 12, 22 and 32, a C112 concentration value equal to x + C 12 x C 22 πού C12 is the concentration of said chemical compound in water raised at the entry point 12 to the earliest date t re IEVE of calculation date t ca i c , C 2 2 is the concentration of said chemical compound in the water recorded at entry point 22 on the nearest date of the calculation date t ca i c and C 32 is the concentration of said chemical compound in the water recorded at the point of entry 32 on the date t re ieve closest to the date of calculation tcaïc; or :
    Step C4 ter: hydraulic flow is analyzed for associating the current point 112 to the entry point 12 closest hydraulically and is plotted at point 112 for the date tcaïc the values recorded in concentrations of elements to said input point 12 to the date t re ieve closest to the calculation date t ca i c (case of Figure 10);
    Step C5 (step DEGRAD) calculation of the ID degradation indices making it possible to qualify the interactions between water and the materials at points 12, 22, 32 and 112;
    Step C6 (optional): application of steps C1 to C5 above for a second calculation date t ca i c at which the data are complete at current point 112.
    Alternatively the values of the concentrations of said chemical compounds identified entry point at time t re IEVE closest to the calculation date ca t i c, one can take an average value of concentrations of chemical compounds identified in several dates readings treievé, each statement date being before or equal to the calculation date t ca i c ·
    A VERIF verification step of at least one calculated degradation index ID can be carried out after the calculation step of the DEGRAD degradation index. She understands :
    • a step of measuring degradation quantities of said system at at least one current point 110;
    • a step of comparing the measured degradation quantities with the degradation indices ID calculated in said at least one current point during the DEGRAD calculation step.
    This step allows a control of the information produced on the basis of the previous calculations based on the water / material interactions of the network and providing calculated indicators, corresponding to theoretical risks, with measured quantities which give real indicators of degradation.
    These quantities measured can come from registers of events of deterioration in water quality (water analyzes, customer complaints), from results of diagnostics and / or autopsies on the network, for example on pipes.
    This can also be enriched by analyzes of the environment close to the network, for example on the soil surrounding the pipes.
    For each current point and / or each zone defined in the ZONAG zoning step, calculated degradation indicators are compared with the indicators of the actual degradation state.
    This VERIF verification step can be followed by a RECAL registration step of the calculated degradation index, using the degradation quantities of said system measured at at least one current point during the verification step (VERIF).
    The different modes presented can be combined with each other.
    Thus, the method according to the invention makes it possible to qualify, even to predict, the state of degradation of the distribution pipes and the consequences on the life of the assets and the quality of the water.
    The method according to the invention also makes it possible to intervene to avoid degradation, or to prevent deterioration from getting worse.
    Thus, the method may include steps of intervention on the water distribution system, and / or on the water to avoid degradation, or to prevent deterioration from worsening.
    The two examples below, which are non-limiting, illustrate two possible modes of intervention.
    Example 1: as a function of the degradation indices calculated at a point in the network, a setpoint for correcting the water quality, and in particular the pH, is transmitted to one or more automatic devices or to one or more operators in one or more factories upstream of said point. This could result in a correction at an entry point. The instruction can then result in the addition of a suitable dose of reagents. It can be a dose of acid or soda.
    Example 2: as a function of the degradation indices calculated at one or more points in the network (or in one or more zones), an operating instruction for the various water resources supplying said point is transmitted to one or more automatic devices or to a or several operators to adapt the quality of the water at the entry points supplying the point or points (or one or more zones) presenting indices of degradation above predefined thresholds. This instruction could result in the preferential start-up of certain boreholes or factories which supply said points or said zones.
    The method can be implemented via software. It can thus be distributed as a service in the Cloud, compatible in consultation and / or in food. Several levels of access rights can be managed. The software can be installed on a computer, tablet, smartphone.
    Thus, the software implementing the method can comprise several modules, each module being able to carry out all or part of the following steps:
    - integration and structuring of geolocated data on the distribution network, and / or data on water quality, and / or data on the ground;
    - the creation of distribution network zones;
    - determination of missing water parameter data at points and / or in zones, based on previously integrated and structured data (calculation algorithms);
    - the calculation, for points and / or zones, of internal and external degradation kinetics of the distribution network, based on calculations of water / materials, soil / materials interactions and on the data previously integrated and determined.
    - the calculation, for points and / or zones, of the theoretical life of the distribution network and the theoretical risks of degradation of the water quality;
    - comparison of the results generated on the basis of calculations of water / material interactions (theoretical risks) with measurements of the real state of the network and / or registers of events of deterioration in water quality;
    - comparison of the results generated on the basis of calculations of soil / material interactions (theoretical risks) with measurements of the real state of the network and / or registers of events of deterioration in water quality;
    - identification throughout the distribution network of critical areas, in which there may be risks of breakage and deterioration in the quality of the water transported;
    - notification to users by significant display mechanisms of a risk or critical state;
    - the comparison of indicators from one network to another (benchmarking function) on the scale of a specific perimeter (country, company) or of the global perimeter of the application (global base).
    Furthermore, the present invention is not limited to the embodiments previously described but extends to any embodiment falling within the scope of the claims.
    权利要求:
    Claims (17)
    [1" id="c-fr-0001]
    1. Method for determining parameters suitable for providing information on the state of a water distribution system (100) comprising at least one pipe (2) capable of transporting water (3), the method comprising the steps following:
    - an import step (IMPORT) able to import into a computer (C) input values (VE) of at least one previously measured water parameter, recorded at at least one entry point (10 ) of the water distribution system (100) and over a reading period (At re eve) comprising at least one reading date (t re ieve);
    - a selection step (SELECT) capable of selecting at least one current point (110);
    - An association step (ASSO) capable of associating said current point with at least one entry point (10) into the water distribution system (100);
    - a determination step (DETER) capable of determining a current value (VC) of said at least one water parameter at the current point (110) from input values (VE) at said at least one entry point (10) associated with the current point (110).
    [2" id="c-fr-0002]
    2. Method according to claim 1, the determination step (DETER) comprising the following steps:
    - if the current point (110) is associated with a single entry point (10), then the current value (VC) of at least one water parameter is assigned the time value of the input values (VE) of said parameter;
    - if the current point (111) is associated with at least two entry points (11,21), then o either the time average of the input values (VE) of at least one water parameter is calculated for each entry point (11,21) associated with said current point, each time mean calculated is weighted by a first weighting coefficient (yn, y 2 i), and the current value (VC) of said parameter is assigned a value equal to the sum of the weighted time averages of all the entry points, the sum of the first weighting coefficients (yn, y 2 i) being equal to 1;
    o either the current value (VC) of at least one water parameter is assigned the time mean value of the input values (VE) of said parameter at the entry point (II) hydraulically closest to the current point (III);
    the time average of the input values (VE) of a water parameter being the average of said input values over a calculation period (At ca ic) comprising at least one date of reading (t re ieve) ·
    [3" id="c-fr-0003]
    3. Method according to claim 1, further comprising a measurement step (MEASUREMENT) of at least one current parameter measured at at least one current point (110) during a measurement period (At me sur), l determination step (DETER) being carried out from input values (VE) at said at least one entry point associated with the current point (110) and from said at least one measured current parameter, the measurement period (At me sur) including at least one measurement date (t me sur), later than or equal to the reading period (At re ieve) ·
    [4" id="c-fr-0004]
    4. Method according to claim 3, a water parameter being the value of the water conductivity and a measured current parameter being the current water conductivity measured at a current point (110) on the measurement date (tmesur) ·
    [5" id="c-fr-0005]
    5. Method according to claim 4, the determination step (DETER) comprising the following steps:
    - if the current point (110) is associated with a single entry point (10), and:
    o if the absolute value of the difference between the current conductivity and the input conductivity is less than or equal to a percentage x of the current conductivity then the current value (VC) is assigned to at least one parameter of the water the input value (s) (VE) of said parameter recorded on the date of reading (t re ieve) prior and temporally closest to the measurement date (tmesur) or equal to said measurement date;
    o if the absolute value of the difference between the current conductivity and the input conductivity is greater than a percentage x of the current conductivity then the current value (VC) of at least one water parameter is assigned the time average of the input values (VE) of said parameter;
    - if the current point (111) is associated with at least two entry points (11,21) and:
    o if the absolute value of each difference between the current conductivity and the input conductivity at each input point associated with said current point is less than or equal to a percentage x of the current conductivity then the current value (VC) is assigned at least one water parameter the time average of the input values (VE) of said parameter at the point of entry (11) in which the input water conductivity is closest to the current conductivity some water ;
    o if the absolute value of at least one difference between the current conductivity and the input conductivity at each input point (11, 21) associated with said current point is greater than a percentage x of the current conductivity then either we calculate the time average of the input values (VE) of at least one water parameter for each entry point (11, 21), the time average calculated for each entry point (11, 12) is weighted by a second weighting coefficient (z 11; z 12 ) which is a function of the ratio between the inlet conductivity of the water at said inlet point and the current conductivity, and the current value (VC) of said parameter is assigned a value equal to the sum of the weighted time averages; the sum of said second coefficients (z 11; z 12 ) being equal to 1;
    either the current value (VC) of at least one water parameter is assigned the time average of the input values (VE) of said parameter at the hydraulic entry point (11) closest to the current point (111 );
    the mean time value of the input values (VE) of said parameter being the average of said input values over a calculation period (At ca ic) comprising at least one date of reading t re ieived and one measurement date t me on , the reading date being before or equal to the measurement date; and the value of the percentage x being defined as a function of the desired precision.
    [6" id="c-fr-0006]
    6. Method according to claim 5, according to which, if the current point (110) is associated with a single entry point (10), and if the absolute value of the difference between the current conductivity and the input conductivity is greater than a percentage x of the current conductivity, then the current value (VC) of at least one water parameter is assigned the time average of the input values (VE) of said parameter, weighted by the ratio between the inlet water conductivity and the current water conductivity weighted by the ratio between the inlet water conductivity and the current water conductivity.
    [7" id="c-fr-0007]
    7. Method according to one of the preceding claims comprising a zoning step (ZONAG) of the water distribution system (100) capable of defining several zones (101, 102, 103), a zone comprising at least one current point ( 100, 111, 112) associated with at least one entry point (10,11,21,12, 22, 32, 13).
    [8" id="c-fr-0008]
    8. Method according to one of the preceding claims further comprising a step of calculating (DEGRAD) of at least one degradation index (ID) at at least one current point (110, 111, 112) from at least a current value (VC) of water parameters at said at least one current point determined during the determination step (DETER).
    [9" id="c-fr-0009]
    9. The method of claim 8, the step of calculating (DEGRAD) of at least one degradation index (ID) at at least one current point also being carried out from a current parameter measured at said current point.
    [10" id="c-fr-0010]
    10. The method of claim 9, a current parameter measured at at least one current point (110, 111, 112) being the pH of the water, the step of calculating (DEGRAD) of at least one degradation index comprising the following steps:
    a step for calculating an equilibrium pH (pH s ) of the water from current values (VC) of concentration of chemical compounds in the water determined at said current point (110, 111, 112) then ;
    a step of comparing the pH and the equilibrium pH (pH s ) at said current point then;
    a step of deducing a degradation index (ID) from the system (100) for distributing water at said current point (110, 111, 112).
    [11" id="c-fr-0011]
    11. The method of claim 8, the at least one water parameter comprising at least the concentration of water in chlorides and / or sulfates, and the step of calculating (DEGRAD) of at least one index of degradation comprising a step of deducing a degradation index of the water distribution system (100) at at least one current point (110, 111, 112) as a function of current values (VC) determined at said current point of at least one concentration of water in specified chlorides and / or sulfates.
    [12" id="c-fr-0012]
    12. The method of claim 8, the step of calculating (DEGRAD) at least one degradation index comprising the use of a corrosion index (Cl) capable of calculating a corrosion rate and an index d 'emission of particles (PRI) capable of providing information on water quality at at least one current point (110, 111, 112).
    [13" id="c-fr-0013]
    13. The method of claim 12, comprising a step of estimating (ESTIM) the lifetime of at least one pipe (2) of the distribution system (100) by combining at least one degradation index (ID) with data from the water distribution system (100).
    [14" id="c-fr-0014]
    14. The method of claim 13 in combination with claim 7, further comprising a step of defining (CRITIC) critical areas among the areas defined during the zoning step (ZONAG) of the system (100).
    [15" id="c-fr-0015]
    15. Method according to one of claims 8 to 14 further comprising a verification step (VERIF) of at least one degradation index (ID) of the water distribution system (100) comprising:
    - a step of measuring degradation quantities of said system at at least one point (10, 110) of the distribution system (100);
    - a step of comparing the magnitudes of degradation measured with the degradation indices (ID) calculated at said at least one point during the calculation step (DEGRAD);
    followed by a recalibration step (RECAL) of at least one degradation index (ID) of the water distribution system (100), using the degradation quantities of said system measured during the verification step (VERIF) .
    [16" id="c-fr-0016]
    16. Method according to one of claims 8 to 15, further comprising a step of sending to a control system at least one degradation index calculated and / or readjusted, the control system being able to act on the system. distribution system and / or water so as to correct the state of said water distribution system.
    [17" id="c-fr-0017]
    17. The method as claimed in claim 16, the correction step consisting in adding one or more reagents to the water, the quantity of a reagent being calculated by the control system as a function of at least a degradation index calculated and / or readjusted.
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    同族专利:
    公开号 | 公开日
    FR3074818B1|2019-11-15|
    SG11202005318YA|2020-07-29|
    WO2019110793A1|2019-06-13|
    EP3721022A1|2020-10-14|
    EP3721022B1|2021-11-03|
    BR112020011362A2|2020-11-17|
    CL2020001486A1|2020-10-16|
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    法律状态:
    2018-11-27| PLFP| Fee payment|Year of fee payment: 2 |
    2019-06-14| PLSC| Publication of the preliminary search report|Effective date: 20190614 |
    2019-12-26| PLFP| Fee payment|Year of fee payment: 3 |
    2020-12-27| PLFP| Fee payment|Year of fee payment: 4 |
    2021-12-27| PLFP| Fee payment|Year of fee payment: 5 |
    优先权:
    申请号 | 申请日 | 专利标题
    FR1761795A|FR3074818B1|2017-12-07|2017-12-07|METHOD FOR EVALUATING THE STATE OF A WATER DISTRIBUTION SYSTEM|
    FR1761795|2017-12-07|FR1761795A| FR3074818B1|2017-12-07|2017-12-07|METHOD FOR EVALUATING THE STATE OF A WATER DISTRIBUTION SYSTEM|
    PCT/EP2018/083959| WO2019110793A1|2017-12-07|2018-12-07|Method for assessing the state of a water distribution system|
    EP18815681.4A| EP3721022B1|2017-12-07|2018-12-07|Method for assessing the state of a water distribution system|
    SG11202005318YA| SG11202005318YA|2017-12-07|2018-12-07|Method for assessing the state of a water distribution system|
    BR112020011362-0A| BR112020011362A2|2017-12-07|2018-12-07|method for assessing the state of a water distribution system|
    CL2020001486A| CL2020001486A1|2017-12-07|2020-06-04|Method to assess the condition of a water distribution system|
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