EP2616600B1 - Method and device for controlling a waste water network - Google Patents

Method and device for controlling a waste water network Download PDF

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Publication number
EP2616600B1
EP2616600B1 EP11773041.6A EP11773041A EP2616600B1 EP 2616600 B1 EP2616600 B1 EP 2616600B1 EP 11773041 A EP11773041 A EP 11773041A EP 2616600 B1 EP2616600 B1 EP 2616600B1
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Prior art keywords
network
rain
setpoints
function
list
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German (de)
French (fr)
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EP2616600A1 (en
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Benoît BERAUD
Maurin Lovera
Mohammad Mourad
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Veolia Eau Compagnie Generale des Eaux SCA
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Veolia Eau Compagnie Generale des Eaux SCA
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    • E—FIXED CONSTRUCTIONS
    • E03—WATER SUPPLY; SEWERAGE
    • E03F—SEWERS; CESSPOOLS
    • E03F7/00—Other installations or implements for operating sewer systems, e.g. for preventing or indicating stoppage; Emptying cesspools

Definitions

  • the invention relates to the general field of waste water networks.
  • the invention relates in particular to the real-time management of such a network.
  • a waste water network typically includes transport works, for example pipelines, intended to bring water to a treatment plant and storage facilities such as storm basins.
  • the network may also include automation and actuators such as pumps and valves, to influence the flow of water in the network.
  • a pump can be controlled depending on the level of water in a tank.
  • the control commands of the actuators have an influence on the performance of the network.
  • a high trigger level for a discharge pump of a storm basin limits the amount of water discharged into the downstream network and thus limits the risk of flooding or spilling into the natural environment in the downstream network.
  • a high level also limits the amount of water that can still be stored in case of heavy rain. The risk of spilling into the natural environment upstream of the storm basin is thus increased.
  • the real-time management of a waste water system consists in adapting actuator control instructions to a rain event, in order to improve network performance.
  • the performances are for example characterized by the location of urban floods and the quantity of spill in the natural environment or the quantity of energy used during this management.
  • it is known to adapt the control commands of the actuators to predicted or measured rain.
  • the sanitation network of Seine-Saint-Denis described in the document «Real-time operation of the sewerage network of Seine-Saint Denis», JM Delattre, presented at the conference "The management of the drenaje unrbano", Barcelona, 2004 , is based on a scenario approach.
  • a typical rain approaching as close as possible to the actual and future rain in the area is selected from a sample of 27 rains.
  • each rain-type corresponds a set of instructions of the actuators of the network.
  • a wastewater system may include many structures and actuators.
  • the inventors have found that in practice, a network almost always included at least one structure or an actuator unavailable or operating at reduced capacity.
  • the unavailability may be due for example to a default or to a jobless for maintenance.
  • the sets of setpoints are predetermined according to a model of the network which represents the nominal state of the network.
  • the setpoints used can lead to an underperformance of the network when its state is not the nominal state.
  • the aim of the invention is to provide a method of controlling a waste water network, having improved performance.
  • the invention aims to use a set of instructions that leads to improved performance.
  • the invention relates to a method of controlling a wastewater network, said network comprising actuators able to influence water flow rates in the network, the behavior of the actuators depending on instructions, the method comprising the steps according to claim 1.
  • the deposit set is selected not only according to the type of rain but also according to the current state of the network.
  • the list of sets of set contains a set of instructions allowing to obtain improved performances, whatever the state of the network.
  • the step of determining at least one new set of setpoints includes determining a new set set for each type of rain in the list of rain types.
  • the step of determining at least one new set of instructions may comprise the execution of an optimization algorithm.
  • the step of determining at least one new set of setpoints includes determining the network model based on a nominal network pattern and second status information.
  • the network model used is an updated model.
  • the invention also provides a control device for a wastewater network according to claim 8.
  • the invention also provides a wastewater network comprising actuators capable of influencing water flow rates in the network, the behavior of the actuators depending on setpoints, and a control device according to the invention.
  • the invention also relates to a computer program comprising instructions for executing the steps of the above-mentioned control method when said program is executed by a computer.
  • This program can use any programming language, and be in the form of source code, object code, or intermediate code between source code and object code, such as in a partially compiled form, or in any other form desirable shape.
  • the invention also relates to a recording medium or information carrier readable by a computer, and comprising instructions of a computer program as mentioned above.
  • the recording media mentioned above can be any entity or device capable of storing the program.
  • the medium may comprise storage means, such as a ROM, for example a CD ROM or a microelectronic circuit ROM, or a magnetic recording medium, for example a diskette (floppy disc) or a disk hard.
  • the recording media may correspond to a transmissible medium such as an electrical or optical signal, which may be conveyed via an electrical or optical cable, by radio or by other means.
  • the program according to the invention can be downloaded in particular on an Internet type network.
  • the recording media may correspond to an integrated circuit in which the program is incorporated, the circuit being adapted to execute or to be used in the execution of the method in question.
  • the figure 1 represents a network 1 of waste water, intended to convey rainwater from an agglomeration to a purification plant 4.
  • the agglomeration is divided between a north zone 2 and a south zone 3.
  • the network 1 comprises reservoirs S1 to S7, pumps P1 to P10, buffers T1 to T15, pipes represented by arrows, and a control device 8.
  • Each reservoir S1 to S7 also comprises a sensor. level for measuring the height of water h in the tank.
  • circles 5, 6 and 7 represent discharge points towards the natural environment, respectively in a first stream A5, a second stream A6 and a third stream A7.
  • the figure 2 is a graph which represents the behavior of the pumps P1 to P10 of the network 1.
  • the flow rate Q of a pump is controlled according to the height h of water in the associated reservoir, measured by a sensor. Thus, if the height h is less than h stop , the pump is stopped. The water level will then go up to reach h start . The pump then starts at flow Q min . Two possibilities then arise. If the weather is dry, the flow of waste water entering the tank is less than Q min and the water level will drop until it reaches h stop , which will cause the pump to stop. If the weather is rainy and the waste water flow is greater than Q min , the water level will continue to rise and the pump will then increase its flow, until it stabilizes at the incoming water flow, or until reaching its maximum flow Q max .
  • the water height h max at which the pump reaches its maximum flow rate Q max constitutes a control setpoint which indicates the tendency which one has to store in the tank (if h max is high) or to pump rapidly towards the downstream to avoid storage (if h max is low).
  • the value of h max influences the performance of the network. Indeed, a high value of h max limits the amount of water discharged in the downstream network and therefore to limit the risk of flooding in the downstream network. However a high value of h max also limits the amount of water that can still be stored in case of heavy rain. The risk of spilling into the natural environment is therefore increased.
  • the control device 8 is for example located in a control room of the network manager 1.
  • the figure 3 represents the control device 8 in more detail. It presents the architecture of a computer and comprises in particular a processor 9, a non-volatile memory 10, a random access memory 11, and a communication interface 12.
  • the processor 9 allows the execution of a control program of the network 1 stored in the memory 10, using the RAM 11.
  • the memory 10 is an information carrier within the meaning of the invention and the control device 8 constitutes a control device within the meaning of the invention.
  • the control device 8 stores, in the memory 10, a list of rain types, a list of states of the network, and a plurality of setpoints for the pumps P1 to P10.
  • the list of types of rain includes a homogeneous rain called "PLHO", and a stronger rain on the south zone 3 called "PLFS”.
  • the state list of the network comprises a nominal state EN, in which the tanks S1 to S7, the pumps P1 to P10, the buffers T1 to T15 and the mains of the network 1 all function normally, and a first state of unemployment EC1, in which an intervention on the network requires to limit the flow rate Q max pumps P1 and P2 at half their nominal flow Q max .
  • the list of sets of setpoints includes a set of setpoints associated with each pair of rain type and network status, as shown in Table 1 where C1 to C4 represent the sets of instructions. Table 1. PLHO PLFS IN C1 C2 EC1 C3 C4
  • the figure 4 represents steps of the control method implemented by the control device 8.
  • the control device 8 obtains information on the current or expected rainfall on the agglomeration, for example from a weather station.
  • the control device 8 also obtains information representative of the current state of the network 1, for example by consulting an intervention planning system or by consulting sensors capable of generating such information, for example a fault sensor of a pump.
  • step E20 the control station 8 selects a type of rain from the list of rain types that best matches the rain determined in step E10.
  • the control station 8 also selects, in the state list of the network, the state that best corresponds to the state determined in step E10.
  • step E30 the control device 8 selects, in the list of set sets, the set of setpoints corresponding to the type of rain and the state of the network selected in step E20. For example, if the rain PLSF and the nominal state EN have been selected in step E20, the controller 8 selects the set of set C2 in step 30.
  • step E40 the control device 8 sends the pumps P1 to P10 messages indicating the instructions to be used, that is to say the instructions of the set of set C2 in the case mentioned above.
  • Steps E10 to E40 can be repeated.
  • a new set of instructions which is better adapted to the conditions can be selected in step E30.
  • the new set of setpoints selected will then provide better network performance, given the current or expected rain and network condition.
  • the figure 5 represents other steps of the control method implemented by the control device 8.
  • step E50 the controller obtains state information representative of a current or intended state of the network, called state EC2.
  • the status information may for example indicate a work that is unemployed or operating at a reduced capacity.
  • the control device 8 can consult an intervention planning system or sensors capable of generating such information, as in step E10. It is assumed here that none of the states EN and EC1 of the list of predetermined states corresponds to the state information obtained. The state EC2 is therefore a new state of the network.
  • step E60 the control device 8 determines an updated model of the network 1.
  • the control device 8 updates a nominal model of the network 1, stored for example in the memory 10, depending on the information of state obtained in step E50.
  • the updated model of network 1 reflects the current or expected EC2 state of the network.
  • the control device 8 determines in step E70, for each type of rain of the list of types of rain, a set of instructions using the updated model.
  • a reference set C5 is determined for the rain PLHO and the state EC2
  • a set of set point C6 is determined for the rain PLFS and the state EC2.
  • the control device 8 implements an optimization algorithm to determine the set of setpoint that optimizes the performance of the network 1, for a given rain and using the updated model.
  • the implementation of the optimization algorithm can for example be performed as in the document cited in the introduction.
  • the performance of the network 1 can be represented by a performance function defined by the network manager 1.
  • the optimization algorithm then provides a set of instructions that minimizes the FP performance function.
  • the optimization algorithm may be a multi-objective optimization algorithm that provides a plurality of solutions minimizing VA5, VA6 and VA7, followed by a selection among the solutions found according to the relative criticality of the rivers.
  • the optimization algorithm can take into account constraints, for example boundaries between which should be the instructions to optimize.
  • the sets of setpoints C1 to C4 above have been predetermined in a similar way, using the optimization algorithm and the nominal model of the network 1 (games C1 and C2) or an updated model according to the state EC1 (games C3 and C4).
  • step E80 the games C5 and C6 are added to the list of set sets, in correspondence with the types of rain PLHO and PLFS and the state of the network EC2.
  • the list of sets of setpoints comprises a set of setpoints associated with each pair of rain type and network status, including the EC2 state of step E50. as shown in Table 2.
  • Table 2. PLHO PLFS IN C1 C2 EC1 C3 C4 EC2 C5 C6
  • step E80 is preceded by a step (not shown) of validation of the sets of instructions C5 and C6 by an operator.
  • the optimization of the step E70 concerns only part of the setpoints of the network 1.
  • the setpoints h max of the pumps P9 and P10 directly connected to the purification station 4 may be judged too much critical to be optimized.
  • the optimization algorithm relates only to the h max setpoints of the other pumps P1 to P8.
  • the stages of the figure 5 are executed for example periodically or in response to an order introduced by an operator.
  • the stages of the figure 5 may also be executed when the controller 8 detects, in step E10, a state of the network that does not match any of the states of the predetermined state list.
  • steps E50 to E80 when a new state of the network 1 is provided or detected, new sets of corresponding instructions are added to the list.
  • the list of sets of setpoints contains sets of instructions allowing to obtain improved performances, whatever the state of the network.
  • the figure 6 represents other steps of the control method implemented by the control device 8. The steps of the figure 6 are executed after a significant rain event.
  • step F10 the control device 8 obtains data representative of the operation of the network 1 during the rain event. These data include, for example, the water levels in the tanks S1 to S7, the flows of the pumps P1 to P10 and the volumes or flows of the discharges A5 to A6. The control device 8 also obtains data representative of the rain that has actually fallen, for example a hyetogram of rain measured during the rain event. Finally, the control device 8 is aware of the set of setpoints selected for the rain event, as well as the type of selected rain and the corresponding selected network state.
  • the controller 8 evaluates different values of the performance function FP of the network 1.
  • step F20 the control device 8 evaluates the real performances FP (1) of the network 1.
  • the value FP (1) is calculated as a function of the data representative of the operation of the network 1 during the rainy event, obtained in step F10.
  • step F30 the control device 8 evaluates simulated performance FP (2) of the network 1 without reclassification of the rain.
  • the control device 8 calculates the value FP (2) according to the hyetogram of rain obtained in step F10 and the set of set used during the rain event.
  • step F40 the control device 8 evaluates simulated performance FP (3) of network 1 with reclassification of the rain.
  • the control device 8 calculates the value FP (3) according to the hyetogram of rain obtained in step F10 and a set of instructions corresponding to the type of rain that should have been selected from the list of types of rain. , considering the rain actually fell.
  • step F50 the control device 8 determines an optimum setpoint set for the rain actually fell, and in step F60 evaluates the optimal simulated performance FP (4) of the network 1.
  • the control device 8 calculates the value FP (4) as a function of the hyetogram of rain obtained in step F10 and the optimum setpoint set determined in step F50.
  • the model of the network 1 used is the model updated according to the network state selected for the rain event.
  • step F70 FP (1) is compared to FP (2). If a significant difference is found, it indicates that a device of the network 1 is defective.
  • step F110 the comparison of measured and simulated flow rates and levels makes it possible to identify the faulty equipment. For example, if the measured flow rate of a pump peaks at a given level lower than the simulated flow rate of the pump, it indicates that the pump is defective. The control device 8 can then display a maintenance recommendation for this pump to the network manager 1.
  • step F80 FP (2) is compared to FP (3). If a significant difference is found, it indicates that the rain-type selected for the rain event was far from the rain actually falling. In other words, rain detection and forecasting needs to be improved to better select the rain-type. Thus, in step F120, the control device 8 displays a recommendation for improving the detection and prediction of rain.
  • step F90 FP (3) is compared to FP (4). If a significant difference is found, this indicates that the set of setpoints selected for the rain event was suboptimal.
  • step F130 the controller 8 displays a recommendation to add a rain-type to the list of rain types, with the corresponding optimal setpoints.
  • the control device 8 determines, for the new standard rain and for each network state of the network status list, a new set of instructions. For this purpose, the control device 8 implements an optimization algorithm, as explained above with reference to step E70.
  • a significant difference means for example a difference greater than a predetermined threshold.
  • step F100 FP (4), which represents the optimized performance of the network 1 for the fallen rain, is compared to a performance threshold. If the optimized performance is considered insufficient, then in step F140 the controller 8 displays a recommendation to study the improvement of the structure of the network 1 or its real-time management.
  • the invention has been described above with reference to an embodiment in which the actuators of the network are pumps and the control instructions are heights h max .
  • the invention may relate to other types of actuator, for example valves, and other types of control setpoint.
  • the control law of the pumps may be different from that shown on the figure 2 .
  • the network status list initially comprises only the nominal state EN.
  • the steps represented on the figure 5 allow to add one or more additional states if necessary.
  • the list of types of rain can be initially empty. In this case, if the control device 8 has sufficient computing power to implement the optimization algorithm in the time interval between the rain forecast and the actual occurrence of the rain, a first type of rain corresponding to the expected rain can be added to the list of types of rain with the determined set of instructions, before the appearance of the rain. The determined instructions can then be applied.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Hydrology & Water Resources (AREA)
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Description

Arrière-plan de l'inventionBackground of the invention

L'invention se rapporte au domaine général des réseaux d'eau résiduaire. L'invention concerne en particulier la gestion en temps réel d'un tel réseau.The invention relates to the general field of waste water networks. The invention relates in particular to the real-time management of such a network.

Un réseau d'eau résiduaire comprend typiquement des ouvrages de transport, par exemple des canalisations, destinés à amener l'eau vers une station d'épuration et des ouvrages de stockage tels que des bassins d'orage. Le réseau peut également comprendre des automatismes et des actionneurs tels que des pompes et des vannes, pour influencer l'écoulement de l'eau dans le réseau. Par exemple, une pompe peut être commandée en fonction du niveau d'eau dans un réservoir.A waste water network typically includes transport works, for example pipelines, intended to bring water to a treatment plant and storage facilities such as storm basins. The network may also include automation and actuators such as pumps and valves, to influence the flow of water in the network. For example, a pump can be controlled depending on the level of water in a tank.

Les consignes de commande des actionneurs ont une influence sur les performances du réseau. Par exemple, un niveau de déclenchement élevé pour une pompe de déchargement d'un bassin d'orage permet de limiter la quantité d'eau déchargée dans le réseau aval et donc de limiter le risque d'inondation ou de déversement au milieu naturel dans le réseau aval. Cependant un tel niveau élevé limite également la quantité d'eau qui peut encore être stockée en cas de forte pluie. Le risque de déversement dans le milieu naturel en amont du bassin d'orage est donc augmenté.The control commands of the actuators have an influence on the performance of the network. For example, a high trigger level for a discharge pump of a storm basin limits the amount of water discharged into the downstream network and thus limits the risk of flooding or spilling into the natural environment in the downstream network. However such a high level also limits the amount of water that can still be stored in case of heavy rain. The risk of spilling into the natural environment upstream of the storm basin is thus increased.

La gestion en temps réel d'un réseau d'eau résiduaire consiste à adapter les consignes de commande des actionneurs à un événement pluvieux, afin d'améliorer les performances du réseau. Les performances sont par exemple caractérisées par la localisation d'inondations urbaines et la quantité de déversement dans le milieu naturel ou encore, la quantité d'énergie mis en oeuvre au cours de cette gestion. Ainsi, il est connu d'adapter les consignes de commande des actionneurs à la pluie prédite ou mesurée.The real-time management of a waste water system consists in adapting actuator control instructions to a rain event, in order to improve network performance. The performances are for example characterized by the location of urban floods and the quantity of spill in the natural environment or the quantity of energy used during this management. Thus, it is known to adapt the control commands of the actuators to predicted or measured rain.

Par exemple, le réseau d'assainissement de Seine-Saint-Denis, décrit dans le document « Exploitation en temps réel du réseau d'assainissement de Seine-Saint Denis», J.M. Delattre, présenté au congrès « Le gestion avanzada del drenaje unrbano», Barcelone, 2004 , est basé sur une approche par scénarios. Selon cette approche, une pluie-type se rapprochant le plus possible de la pluie réelle en cours et à venir sur le territoire est choisie parmi un échantillon de 27 pluies. A chaque pluie-type correspond un jeu de consignes des actionneurs du réseau. Ces jeux de consignes ont été prédéterminés, en utilisant une modélisation du réseau.For example, the sanitation network of Seine-Saint-Denis, described in the document «Real-time operation of the sewerage network of Seine-Saint Denis», JM Delattre, presented at the conference "The management of the drenaje unrbano", Barcelona, 2004 , is based on a scenario approach. According to this approach, a typical rain approaching as close as possible to the actual and future rain in the area is selected from a sample of 27 rains. With each rain-type corresponds a set of instructions of the actuators of the network. These sets of setpoints were predetermined, using a network modeling.

Il est également connu d'utiliser un algorithme d'optimisation pour prédéterminer un jeu de consignes optimal pour une pluie-type donnée, en fonction d'un modèle du réseau. Ainsi, le document « Optimisation of sewer networks hydraulic behavior during wet weather: coupling genetic algorithms with two sewer networks modelling tools », présenté au congrès Novatech 2010 de Lyon, a montré qu'une telle optimisation permettait d'améliorer les performances de la gestion temps réel, par rapport aux consignes prédéterminées issues de la longue expérience du gestionnaire du réseau. D'autres modèles de contrôle des réseaux d'eau sont mises en évidence par les documents US 2007/0021936 , DE 40 16 373 et WO 02/095149 .It is also known to use an optimization algorithm to predetermine an optimum set of setpoints for a given rain-type, according to a model of the network. Thus, the document " Optimization of sewer networks hydraulic behavior during wet weather: coupling genetic algorithms with two sewer networks modeling tools ", presented at the Novatech 2010 congress of Lyon, showed that such optimization makes it possible to improve management performance. real time, compared to predetermined instructions from the long experience of the network manager. Other models of control of water networks are highlighted by the documents US 2007/0021936 , DE 40 16 373 and WO 02/095149 .

Objet et résumé de l'inventionObject and summary of the invention

Un réseau d'eau résiduaire peut comprend de nombreux ouvrages et actionneurs. Les inventeurs ont constaté qu'en pratique, un réseau comprenait presqu'en permanence au moins un ouvrage ou un actionneur indisponible ou fonctionnant à capacité réduite. L'indisponibilité peut être due par exemple à un défaut ou à une mise au chômage pour maintenance. Or, dans l'art antérieur cité en introduction, les jeux de consignes sont prédéterminés en fonction d'un modèle du réseau qui représente l'état nominal du réseau. Ainsi, les consignes utilisées peuvent conduire à une sous-performance du réseau lorsque son état n'est pas l'état nominal.A wastewater system may include many structures and actuators. The inventors have found that in practice, a network almost always included at least one structure or an actuator unavailable or operating at reduced capacity. The unavailability may be due for example to a default or to a jobless for maintenance. However, in the prior art mentioned in the introduction, the sets of setpoints are predetermined according to a model of the network which represents the nominal state of the network. Thus, the setpoints used can lead to an underperformance of the network when its state is not the nominal state.

L'invention vise à fournir un procédé de commande d'un réseau d'eau résiduaire, présentant des performances améliorées. En particulier, l'invention vise à utiliser un jeu de consignes qui conduit à des performances améliorées.The aim of the invention is to provide a method of controlling a waste water network, having improved performance. In particular, the invention aims to use a set of instructions that leads to improved performance.

A cet effet, l'invention concerne un procédé de commande d'un réseau d'eau résiduaire, ledit réseau comprenant des actionneurs aptes à influencer des débits d'eau dans le réseau, le comportement des actionneurs dépendant de consignes, le procédé comprenant les étapes selon la revendication 1. Grâce à l'invention, le jeu de consigne est sélectionné non seulement en fonction du type de pluie mais également en fonction de l'état actuel du réseau. Ainsi, il est possible de sélectionner un jeu de consigne qui permet d'obtenir des performances améliorées, compte tenu de l'état actuel du réseau. Par ailleurs, lorsqu'un changement d'état est prévu ou détecté, un nouveau jeu de consignes correspondant est ajouté à la liste. Ainsi, la liste de jeux de consignes contient un jeu de consignes permettant d'obtenir des performances améliorées, quel que soit l'état du réseau.For this purpose, the invention relates to a method of controlling a wastewater network, said network comprising actuators able to influence water flow rates in the network, the behavior of the actuators depending on instructions, the method comprising the steps according to claim 1. Thanks to the invention, the deposit set is selected not only according to the type of rain but also according to the current state of the network. Thus, it is possible to select a set of instructions which makes it possible to obtain improved performances, taking into account the current state of the network. Furthermore, when a change of state is expected or detected, a new set of corresponding instructions is added to the list. Thus, the list of sets of set contains a set of instructions allowing to obtain improved performances, whatever the state of the network.

Selon un mode de réalisation, l'étape de détermination d'au moins un nouveau jeu de consignes comprend la détermination d'un nouveau jeu de consigne pour chaque type de pluie de la liste de types de pluie.In one embodiment, the step of determining at least one new set of setpoints includes determining a new set set for each type of rain in the list of rain types.

L'étape de détermination d'au moins un nouveau jeu de consignes peut comprendre l'exécution d'un algorithme d'optimisation.The step of determining at least one new set of instructions may comprise the execution of an optimization algorithm.

L'étape de détermination d'au moins un nouveau jeu de consignes comprend la détermination du modèle du réseau en fonction d'un modèle nominal du réseau et des deuxièmes informations d'état. Autrement dit, le modèle du réseau utilisé est un modèle actualisé.The step of determining at least one new set of setpoints includes determining the network model based on a nominal network pattern and second status information. In other words, the network model used is an updated model.

Selon l'invention, le procédé de commande comprend :

  • une étape d'évaluation de performances réelles du réseau pendant un événement pluvieux,
  • une étape d'évaluation de performances simulées du réseau, en fonction d'un hyétogramme de pluie de l'évènement pluvieux et du jeu de consigne sélectionné pendant l'évènement pluvieux,
  • une étape de comparaison entre lesdites performances réelles et simulées.
According to the invention, the control method comprises:
  • a step of evaluating the real performances of the network during a rain event,
  • a simulated performance evaluation stage of the network, based on a rain hyetogram of the rain event and the setpoint set selected during the rain event,
  • a comparison step between said actual and simulated performances.

De manière correspondante, l'invention propose également un dispositif de commande pour un réseau d'eau résiduaire selon la revendication 8. L'invention fournit aussi un réseau d'eau résiduaire comprenant des actionneurs aptes à influencer des débits d'eau dans le réseau, le comportement des actionneurs dépendant de consignes, et un dispositif de commande selon l'invention.Correspondingly, the invention also provides a control device for a wastewater network according to claim 8. The invention also provides a wastewater network comprising actuators capable of influencing water flow rates in the network, the behavior of the actuators depending on setpoints, and a control device according to the invention.

L'invention vise aussi un programme d'ordinateur comportant des instructions pour l'exécution des étapes du procédé de commande précité lorsque ledit programme est exécuté par un ordinateur.The invention also relates to a computer program comprising instructions for executing the steps of the above-mentioned control method when said program is executed by a computer.

Ce programme peut utiliser n'importe quel langage de programmation, et être sous la forme de code source, code objet, ou de code intermédiaire entre code source et code objet, tel que dans une forme partiellement compilée, ou dans n'importe quelle autre forme souhaitable.This program can use any programming language, and be in the form of source code, object code, or intermediate code between source code and object code, such as in a partially compiled form, or in any other form desirable shape.

L'invention vise aussi un support d'enregistrement ou support d'informations lisible par un ordinateur, et comportant des instructions d'un programme d'ordinateur tel que mentionné ci-dessus.The invention also relates to a recording medium or information carrier readable by a computer, and comprising instructions of a computer program as mentioned above.

Les supports d'enregistrement mentionnés ci-avant peuvent être n'importe quelle entité ou dispositif capable de stocker le programme. Par exemple, le support peut comporter un moyen de stockage, tel qu'une ROM, par exemple un CD ROM ou une ROM de circuit microélectronique, ou encore un moyen d'enregistrement magnétique, par exemple une disquette (floppy disc) ou un disque dur.The recording media mentioned above can be any entity or device capable of storing the program. For example, the medium may comprise storage means, such as a ROM, for example a CD ROM or a microelectronic circuit ROM, or a magnetic recording medium, for example a diskette (floppy disc) or a disk hard.

D'autre part, les supports d'enregistrement peuvent correspondre à un support transmissible tel qu'un signal électrique ou optique, qui peut être acheminé via un câble électrique ou optique, par radio ou par d'autres moyens. Le programme selon l'invention peut être en particulier téléchargé sur un réseau de type Internet.On the other hand, the recording media may correspond to a transmissible medium such as an electrical or optical signal, which may be conveyed via an electrical or optical cable, by radio or by other means. The program according to the invention can be downloaded in particular on an Internet type network.

Alternativement, les supports d'enregistrement peuvent correspondre à un circuit intégré dans lequel le programme est incorporé, le circuit étant adapté pour exécuter ou pour être utilisé dans l'exécution du procédé en question.Alternatively, the recording media may correspond to an integrated circuit in which the program is incorporated, the circuit being adapted to execute or to be used in the execution of the method in question.

Brève description des dessinsBrief description of the drawings

D'autres caractéristiques et avantages de la présente invention ressortiront de la description faite ci-dessous, en référence aux dessins annexés qui en illustrent un exemple de réalisation dépourvu de tout caractère limitatif. Sur les figures :

  • la figure 1 représente un réseau d'eau résiduaire permettant la mise en oeuvre d'un procédé de commande selon un mode de réalisation de l'invention,
  • la figure 2 représente une loi de commande d'une pompe du réseau de la figure 1,
  • la figure 3 représente un dispositif de commande du réseau de la figure 1,
  • la figure 4 représente des étapes d'un procédé de commande mis en oeuvre par le dispositif de commande de la figure 3,
  • la figure 5 représente d'autres étapes d'un procédé de commande mis en oeuvre par le dispositif de commande de la figure 3, et
  • la figure 6 représente d'autres étapes d'un procédé de commande mis en oeuvre par le dispositif de commande de la figure 3.
Other features and advantages of the present invention will emerge from the description given below, with reference to the accompanying drawings which illustrate an embodiment having no limiting character. In the figures:
  • the figure 1 represents a wastewater network for implementing a control method according to one embodiment of the invention,
  • the figure 2 represents a control law of a pump of the network of the figure 1 ,
  • the figure 3 represents a control device of the network of the figure 1 ,
  • the figure 4 represents steps of a control method implemented by the control device of the figure 3 ,
  • the figure 5 represents other steps of a control method implemented by the control device of the figure 3 , and
  • the figure 6 represents other steps of a control method implemented by the control device of the figure 3 .

Description détaillée de modes de réalisationDetailed description of embodiments

La figure 1 représente un réseau 1 d'eau résiduaire, destiné à acheminer l'eau de pluie d'une agglomération vers une station d'épuration 4. L'agglomération est divisée entre une zone nord 2 et une zone sud 3.The figure 1 represents a network 1 of waste water, intended to convey rainwater from an agglomeration to a purification plant 4. The agglomeration is divided between a north zone 2 and a south zone 3.

Dans cet exemple, le réseau 1 comprend des réservoirs S1 à S7, des pompes P1 à P10, des tampons T1 à T15, des canalisations représentées par des flèches, et un dispositif de commande 8. Chaque réservoir S1 à S7 comprend également un capteur de niveau permettant de mesurer la hauteur d'eau h dans le réservoir.In this example, the network 1 comprises reservoirs S1 to S7, pumps P1 to P10, buffers T1 to T15, pipes represented by arrows, and a control device 8. Each reservoir S1 to S7 also comprises a sensor. level for measuring the height of water h in the tank.

Par ailleurs, les cercles 5, 6 et 7 représentent des points de déversement vers le milieu naturel, respectivement dans un premier cours d'eau A5, un deuxième cours d'eau A6 et un troisième cours d'eau A7.In addition, the circles 5, 6 and 7 represent discharge points towards the natural environment, respectively in a first stream A5, a second stream A6 and a third stream A7.

La figure 2 est un graphe qui représente le comportement des pompes P1 à P10 du réseau 1. Le débit Q d'une pompe est commandé en fonction de la hauteur h d'eau dans le réservoir associé, mesurée par un capteur. Ainsi, si la hauteur h est inférieure à hstop, la pompe est à l'arrêt. Le niveau d'eau va alors monter jusqu'à atteindre hstart. La pompe se met alors en route au débit Qmin. Deux possibilités se présentent alors. Si le temps est sec, le débit d'eau usée entrant dans le réservoir est inférieur à Qmin et le niveau d'eau va baisser jusqu'à atteindre hstop, ce qui provoquera l'arrêt de la pompe. Si le temps est pluvieux et que le débit d'eau usée est supérieur à Qmin, le niveau d'eau va continuer à monter et la pompe va alors augmenter son débit, jusqu'à se stabiliser au débit d'eau entrant, ou jusqu'à atteindre son débit maximum Qmax.The figure 2 is a graph which represents the behavior of the pumps P1 to P10 of the network 1. The flow rate Q of a pump is controlled according to the height h of water in the associated reservoir, measured by a sensor. Thus, if the height h is less than h stop , the pump is stopped. The water level will then go up to reach h start . The pump then starts at flow Q min . Two possibilities then arise. If the weather is dry, the flow of waste water entering the tank is less than Q min and the water level will drop until it reaches h stop , which will cause the pump to stop. If the weather is rainy and the waste water flow is greater than Q min , the water level will continue to rise and the pump will then increase its flow, until it stabilizes at the incoming water flow, or until reaching its maximum flow Q max .

Si le débit d'eau entrant dans le réservoir est supérieur à Qmax, le niveau d'eau continue à augmenter et de l'eau peut être déversée vers le milieu naturel, ce qui est à éviter.If the flow of water entering the tank is higher than Q max , the water level continues to rise and water can be discharged to the natural environment, which is to be avoided.

La hauteur d'eau hmax à laquelle la pompe atteint son débit maximum Qmax constitue une consigne de commande qui indique la tendance que l'on a à stocker dans le réservoir (si hmax est élevé) ou à pomper rapidement vers l'aval pour éviter de stocker (si hmax est faible). Pour chacune des pompes P1 à P10, la valeur de hmax influence les performances du réseau. En effet, une valeur de hmax élevée permet de limiter la quantité d'eau déchargée dans le réseau aval et donc de limiter le risque d'inondation dans le réseau aval. Cependant une valeur de hmax élevée limite également la quantité d'eau qui peut encore être stockée en cas de forte pluie. Le risque de déversement dans le milieu naturel est donc augmenté.The water height h max at which the pump reaches its maximum flow rate Q max constitutes a control setpoint which indicates the tendency which one has to store in the tank (if h max is high) or to pump rapidly towards the downstream to avoid storage (if h max is low). For each of the pumps P1 to P10, the value of h max influences the performance of the network. Indeed, a high value of h max limits the amount of water discharged in the downstream network and therefore to limit the risk of flooding in the downstream network. However a high value of h max also limits the amount of water that can still be stored in case of heavy rain. The risk of spilling into the natural environment is therefore increased.

Ainsi, le choix des consignes de commande hmax pour chaque pompe P1 à P10 doit être effectué de manière appropriée.Thus, the choice of the control instructions h max for each pump P1 to P10 must be carried out appropriately.

Le dispositif de commande 8 est par exemple situé dans un local de commande du gestionnaire du réseau 1. La figure 3 représente le dispositif de commande 8 de manière plus détaillée. Il présente l'architecture d'un ordinateur et comprend notamment un processeur 9, une mémoire 10 non-volatile, une mémoire vive 11, et une interface de communication 12. Le processeur 9 permet l'exécution d'un programme de commande du réseau 1 mémorisé dans la mémoire 10, en utilisant la mémoire vive 11. Ainsi, la mémoire 10 constitue un support d'information au sens de l'invention et le dispositif de commande 8 constitue un dispositif de commande au sens de l'invention.The control device 8 is for example located in a control room of the network manager 1. The figure 3 represents the control device 8 in more detail. It presents the architecture of a computer and comprises in particular a processor 9, a non-volatile memory 10, a random access memory 11, and a communication interface 12. The processor 9 allows the execution of a control program of the network 1 stored in the memory 10, using the RAM 11. Thus, the memory 10 is an information carrier within the meaning of the invention and the control device 8 constitutes a control device within the meaning of the invention.

Le dispositif de commande 8 mémorise, dans la mémoire 10, une liste de types de pluie, une liste d'états du réseau, et une pluralité de jeux de consigne pour les pompes P1 à P10. Par exemple, la liste de types de pluie comprend une pluie homogène appelée « PLHO », et une pluie plus forte sur la zone sud 3 appelée « PLFS ». La liste d'états du réseau comprend un état nominal EN, dans lequel les réservoirs S1 à S7, les pompes P1 à P10, les tampons T1 à T15 et les canalisations du réseau 1 fonctionnent tous normalement, et un premier état de chômage EC1, dans lequel une intervention sur le réseau oblige à limiter le débit Qmax des pompes P1 et P2 à la moitié de leur débit Qmax nominal.The control device 8 stores, in the memory 10, a list of rain types, a list of states of the network, and a plurality of setpoints for the pumps P1 to P10. For example, the list of types of rain includes a homogeneous rain called "PLHO", and a stronger rain on the south zone 3 called "PLFS". The state list of the network comprises a nominal state EN, in which the tanks S1 to S7, the pumps P1 to P10, the buffers T1 to T15 and the mains of the network 1 all function normally, and a first state of unemployment EC1, in which an intervention on the network requires to limit the flow rate Q max pumps P1 and P2 at half their nominal flow Q max .

La liste de jeux de consignes comprend un jeu de consignes associé à chaque couple de type de pluie et d'état du réseau, comme le représente le Tableau 1 où C1 à C4 représentent les jeux de consignes. Tableau 1. PLHO PLFS EN C1 C2 EC1 C3 C4 The list of sets of setpoints includes a set of setpoints associated with each pair of rain type and network status, as shown in Table 1 where C1 to C4 represent the sets of instructions. Table 1. PLHO PLFS IN C1 C2 EC1 C3 C4

Les jeux de consignes C1 à C4 ont été prédéterminés d'une manière qui sera décrite ultérieurement.Sets C1 to C4 have been predetermined in a manner to be described later.

La figure 4 représente des étapes du procédé de commande mis en oeuvre par le dispositif de commande 8.The figure 4 represents steps of the control method implemented by the control device 8.

A l'étape E10, le dispositif de commande 8 obtient des informations sur la pluie actuelle ou prévue sur l'agglomération, par exemple en provenance d'une station météorologique. Le dispositif de commande 8 obtient également des informations représentatives de l'état actuel du réseau 1, par exemple en consultant un système de planification des interventions ou en consultant des capteurs aptes à générer de telles informations, par exemple un capteur de défaut d'une pompe.In step E10, the control device 8 obtains information on the current or expected rainfall on the agglomeration, for example from a weather station. The control device 8 also obtains information representative of the current state of the network 1, for example by consulting an intervention planning system or by consulting sensors capable of generating such information, for example a fault sensor of a pump.

Ensuite, à l'étape E20, le poste de commande 8 sélectionne un type de pluie dans la liste de types de pluie qui correspond le mieux à la pluie déterminée à l'étape E10. Le poste de commande 8 sélectionne également, dans la liste d'états du réseau, l'état qui correspond le mieux à l'état déterminé à l'étape E10.Then, in step E20, the control station 8 selects a type of rain from the list of rain types that best matches the rain determined in step E10. The control station 8 also selects, in the state list of the network, the state that best corresponds to the state determined in step E10.

Ensuite, à l'étape E30, le dispositif de commande 8 sélectionne, dans la liste de jeux de consigne, le jeu de consignes correspondant au type de pluie et à l'état du réseau sélectionnés à l'étape E20. Par exemple, si la pluie PLSF et l'état nominal EN ont été sélectionnés à l'étape E20, le dispositif de commande 8 sélectionne le jeu de consigne C2 à l'étape 30.Then, in step E30, the control device 8 selects, in the list of set sets, the set of setpoints corresponding to the type of rain and the state of the network selected in step E20. For example, if the rain PLSF and the nominal state EN have been selected in step E20, the controller 8 selects the set of set C2 in step 30.

Enfin, à l'étape E40, le dispositif de commande 8 envoie vers les pompes P1 à P10 des messages indiquant les consignes à utiliser, c'est-à-dire les consignes du jeu de consignes C2 dans le cas précité.Finally, in step E40, the control device 8 sends the pumps P1 to P10 messages indicating the instructions to be used, that is to say the instructions of the set of set C2 in the case mentioned above.

Les étapes E10 à E40 peuvent être répétées. Ainsi, en cas de changement de la pluie actuelle ou prévue et/ou en cas de changement de l'état du réseau, un nouveau jeu de consignes mieux adapté aux conditions peut être sélectionné à l'étape E30. Le nouveau jeu de consignes sélectionné permet alors d'obtenir des meilleures performances du réseau, compte tenu de la pluie actuelle ou prévue et de l'état du réseau.Steps E10 to E40 can be repeated. Thus, in the event of a change in the current or expected rain and / or in the event of a change in the state of the network, a new set of instructions which is better adapted to the conditions can be selected in step E30. The new set of setpoints selected will then provide better network performance, given the current or expected rain and network condition.

La figure 5 représente d'autres étapes du procédé de commande mis en oeuvre par le dispositif de commande 8.The figure 5 represents other steps of the control method implemented by the control device 8.

A l'étape E50, le dispositif de commande obtient des informations d'état représentatives d'un état actuel ou prévu du réseau, appelé état EC2. Les informations d'état peuvent par exemple indiquer un ouvrage au chômage ou fonctionnant à capacité réduite. Pour obtenir ces informations d'état, le dispositif de commande 8 peut consulter un système de planification des interventions ou des capteurs aptes à générer de tels informations, comme à l'étape E10. On suppose ici qu'aucun des états EN et EC1 de la liste d'états prédéterminés ne correspond aux informations d'état obtenues. L'état EC2 est donc un nouvel état du réseau.In step E50, the controller obtains state information representative of a current or intended state of the network, called state EC2. The status information may for example indicate a work that is unemployed or operating at a reduced capacity. To obtain this status information, the control device 8 can consult an intervention planning system or sensors capable of generating such information, as in step E10. It is assumed here that none of the states EN and EC1 of the list of predetermined states corresponds to the state information obtained. The state EC2 is therefore a new state of the network.

Ensuite, à l'étape E60, le dispositif de commande 8 détermine un modèle actualisé du réseau 1. A cet effet, le dispositif de commande 8 actualise un modèle nominal du réseau 1, mémorisé par exemple dans la mémoire 10, en fonction des informations d'état obtenues à l'étape E50. Ainsi, le modèle actualisé du réseau 1 reflète l'état EC2 actuel ou prévu du réseau.Then, in step E60, the control device 8 determines an updated model of the network 1. For this purpose, the control device 8 updates a nominal model of the network 1, stored for example in the memory 10, depending on the information of state obtained in step E50. Thus, the updated model of network 1 reflects the current or expected EC2 state of the network.

Après avoir déterminé le modèle actualisé, le dispositif de commande 8 détermine à l'étape E70, pour chaque type de pluie de la liste de types de pluie, un jeu de consigne en utilisant le modèle actualisé. Ainsi, un jeu de consigne C5 est déterminé pour la pluie PLHO et l'état EC2 et un jeu de consigne C6 est déterminé pour la pluie PLFS et l'état EC2. A cet effet, le dispositif de commande 8 met en oeuvre un algorithme d'optimisation afin de déterminer le jeu de consigne qui optimise les performances du réseau 1, pour une pluie donnée et en utilisant le modèle actualisé. La mise en oeuvre de l'algorithme d'optimisation peut par exemple être effectuée comme dans le document cité en introduction.After having determined the updated model, the control device 8 determines in step E70, for each type of rain of the list of types of rain, a set of instructions using the updated model. Thus, a reference set C5 is determined for the rain PLHO and the state EC2 and a set of set point C6 is determined for the rain PLFS and the state EC2. For this purpose, the control device 8 implements an optimization algorithm to determine the set of setpoint that optimizes the performance of the network 1, for a given rain and using the updated model. The implementation of the optimization algorithm can for example be performed as in the document cited in the introduction.

Pour les besoins de l'algorithme d'optimisation, les performances du réseau 1 peuvent être représentées par une fonction de performance définie par le gestionnaire du réseau 1. Par exemple, si le but du gestionnaire est de minimiser les rejets du réseau 1 dans les cours d'eau A5, A6 et A7 précités, et que le cours d'eau A5 est considéré plus critique que le cours d'eau A6, lui-même considéré plus critique que le cours d'eau A7, la fonction de performance peut être FP = 3 VA5 + 2 VA6 + VA7, où VA5, VA6 et VA7 représentent les volumes rejetés dans les cours d'eau A5, A6 et A7, respectivement. L'algorithme d'optimisation fournit alors un jeu de consigne qui minimise la fonction de performance FP.For the purposes of the optimization algorithm, the performance of the network 1 can be represented by a performance function defined by the network manager 1. For example, if the purpose of the manager is to minimize the rejections of the network 1 in the networks. A5, A6 and A7, and that the A5 stream is considered more critical than the A6 stream, which is considered more critical than the A7 stream, the performance function may FP = 3 VA5 + 2 VA6 + VA7, where VA5, VA6 and VA7 represent the volumes discharged into streams A5, A6 and A7, respectively. The optimization algorithm then provides a set of instructions that minimizes the FP performance function.

En variante, l'algorithme d'optimisation peut être un algorithme d'optimisation multi-objectif qui fournit une pluralité de solutions minimisant les volumes VA5, VA6 et VA7, suivi d'une sélection parmi les solutions trouvées en fonction de la criticité relative des cours d'eau.Alternatively, the optimization algorithm may be a multi-objective optimization algorithm that provides a plurality of solutions minimizing VA5, VA6 and VA7, followed by a selection among the solutions found according to the relative criticality of the rivers.

L'algorithme d'optimisation peut prendre en compte des contraintes, par exemple des bornes entre lesquelles doivent se trouver les consignes à optimiser.The optimization algorithm can take into account constraints, for example boundaries between which should be the instructions to optimize.

Les jeux de consignes C1 à C4 précités ont été prédéterminés de manière similaire, en utilisant l'algorithme d'optimisation et le modèle nominal du réseau 1 (jeux C1 et C2) ou un modèle actualisé en fonction de l'état EC1 (jeux C3 et C4).The sets of setpoints C1 to C4 above have been predetermined in a similar way, using the optimization algorithm and the nominal model of the network 1 (games C1 and C2) or an updated model according to the state EC1 (games C3 and C4).

A l'étape E80, les jeux C5 et C6 sont ajoutés à la liste de jeux de consigne, en correspondance avec les types de pluie PLHO et PLFS et l'état du réseau EC2.In step E80, the games C5 and C6 are added to the list of set sets, in correspondence with the types of rain PLHO and PLFS and the state of the network EC2.

Ainsi, après l'exécution des étapes E50 à E80, la liste de jeux de consignes comprend un jeu de consignes associé à chaque couple de type de pluie et d'état du réseau, y compris pour l'état EC2 de l'étape E50, comme le représente le Tableau 2. Tableau 2. PLHO PLFS EN C1 C2 EC1 C3 C4 EC2 C5 C6 Thus, after the execution of steps E50 to E80, the list of sets of setpoints comprises a set of setpoints associated with each pair of rain type and network status, including the EC2 state of step E50. as shown in Table 2. Table 2. PLHO PLFS IN C1 C2 EC1 C3 C4 EC2 C5 C6

Dans une variante, l'étape E80 est précédée d'une étape (non représentée) de validation des jeux de consignes C5 et C6 par un opérateur.In a variant, the step E80 is preceded by a step (not shown) of validation of the sets of instructions C5 and C6 by an operator.

Dans une variante également, l'optimisation de l'étape E70 ne concerne qu'une partie des consignes du réseau 1. Par exemple, les consignes hmax des pompes P9 et P10 directement reliées à la station d'épuration 4 peuvent être jugées trop critiques pour faire l'objet d'une optimisation. Ainsi, l'algorithme d'optimisation porte uniquement sur les consignes hmax des autres pompes P1 à P8.In a variant also, the optimization of the step E70 concerns only part of the setpoints of the network 1. For example, the setpoints h max of the pumps P9 and P10 directly connected to the purification station 4 may be judged too much critical to be optimized. Thus, the optimization algorithm relates only to the h max setpoints of the other pumps P1 to P8.

Les étapes de la figure 5 sont exécutées par exemple de manière périodique ou en réponse à un ordre introduit par un opérateur. Les étapes de la figure 5 peuvent également être exécutées lorsque le dispositif de commande 8 détecte, à l'étape E10, un état du réseau qui ne correspond à aucun des états de la liste d'état prédéterminés.The stages of the figure 5 are executed for example periodically or in response to an order introduced by an operator. The stages of the figure 5 may also be executed when the controller 8 detects, in step E10, a state of the network that does not match any of the states of the predetermined state list.

Grâce aux étapes E50 à E80, lorsqu'un nouvel état du réseau 1 est prévu ou détecté, des nouveaux jeux de consignes correspondant sont ajoutés à la liste. Ainsi, la liste de jeux de consignes contient des jeux de consignes permettant d'obtenir des performances améliorées, quel que soit l'état du réseau.With steps E50 to E80, when a new state of the network 1 is provided or detected, new sets of corresponding instructions are added to the list. Thus, the list of sets of setpoints contains sets of instructions allowing to obtain improved performances, whatever the state of the network.

La figure 6 représente d'autres étapes du procédé de commande mis en oeuvre par le dispositif de commande 8. Les étapes de la figure 6 sont exécutées après un événement pluvieux significatif.The figure 6 represents other steps of the control method implemented by the control device 8. The steps of the figure 6 are executed after a significant rain event.

A l'étape F10, le dispositif de commande 8 obtient des données représentatives du fonctionnement du réseau 1 pendant l'événement pluvieux. Ces données comprennent par exemple les niveaux d'eau dans les réservoirs S1 à S7, les débits des pompes P1 à P10 et les volumes ou débits des rejets A5 à A6. Le dispositif de commande 8 obtient également des données représentatives de la pluie qui est effectivement tombée, par exemple un hyétogramme de pluie mesuré pendant l'évènement pluvieux. Enfin, le dispositif de commande 8 a connaissance du jeu de consignes sélectionné pour l'évènement pluvieux, ainsi que du type de pluie sélectionné et de l'état de réseau sélectionné correspondant.In step F10, the control device 8 obtains data representative of the operation of the network 1 during the rain event. These data include, for example, the water levels in the tanks S1 to S7, the flows of the pumps P1 to P10 and the volumes or flows of the discharges A5 to A6. The control device 8 also obtains data representative of the rain that has actually fallen, for example a hyetogram of rain measured during the rain event. Finally, the control device 8 is aware of the set of setpoints selected for the rain event, as well as the type of selected rain and the corresponding selected network state.

Ensuite, aux étapes F20 à F60, le dispositif de commande 8 évalue différentes valeurs de la fonction de performance FP du réseau 1.Then, in steps F20 to F60, the controller 8 evaluates different values of the performance function FP of the network 1.

Plus précisément, à l'étape F20, le dispositif de commande 8 évalue les performances réelles FP(1) du réseau 1. A cet effet, la valeur FP(1) est calculée en fonction des données représentatives du fonctionnement du réseau 1 pendant l'évènement pluvieux, obtenues à l'étape F10.More precisely, in step F20, the control device 8 evaluates the real performances FP (1) of the network 1. For this purpose, the value FP (1) is calculated as a function of the data representative of the operation of the network 1 during the rainy event, obtained in step F10.

A l'étape F30, le dispositif de commande 8 évalue les performances simulées FP(2) du réseau 1 sans reclassification de la pluie. Ainsi, le dispositif de commande 8 calcule la valeur FP(2) en fonction du hyétogramme de pluie obtenu à l'étape F10 et du jeu de consigne utilisé pendant l'évènement pluvieux.In step F30, the control device 8 evaluates simulated performance FP (2) of the network 1 without reclassification of the rain. Thus, the control device 8 calculates the value FP (2) according to the hyetogram of rain obtained in step F10 and the set of set used during the rain event.

A l'étape F40, le dispositif de commande 8 évalue les performances simulées FP(3) du réseau 1 avec reclassification de la pluie. Ainsi, le dispositif de commande 8 calcule la valeur FP(3) en fonction du hyétogramme de pluie obtenu à l'étape F10 et d'un jeu de consigne correspondant au type de pluie qui aurait du être sélectionné dans la liste de types de pluie, compte tenu de la pluie réellement tombée.In step F40, the control device 8 evaluates simulated performance FP (3) of network 1 with reclassification of the rain. Thus, the control device 8 calculates the value FP (3) according to the hyetogram of rain obtained in step F10 and a set of instructions corresponding to the type of rain that should have been selected from the list of types of rain. , considering the rain actually fell.

Enfin, à l'étape F50, le dispositif de commande 8 détermine un jeu de consigne optimal pour la pluie réellement tombée puis, à l'étape F60 évalue les performances simulées optimales FP(4) du réseau 1. Ainsi, le dispositif de commande 8 calcule la valeur FP(4) en fonction du hyétogramme de pluie obtenu à l'étape F10 et du jeu de consigne optimal déterminé à l'étape F50.Finally, in step F50, the control device 8 determines an optimum setpoint set for the rain actually fell, and in step F60 evaluates the optimal simulated performance FP (4) of the network 1. Thus, the control device 8 calculates the value FP (4) as a function of the hyetogram of rain obtained in step F10 and the optimum setpoint set determined in step F50.

Pendant les étapes F30 à F60, le modèle du réseau 1 utilisé est le modèle actualisé en fonction de l'état de réseau sélectionné pour l'évènement pluvieux.During the steps F30 to F60, the model of the network 1 used is the model updated according to the network state selected for the rain event.

Ensuite, lors des étapes F70 à F100, les valeurs FP(1) à FP(4) sont comparées puis, aux étapes F110 à F140, des conclusions sont établies en fonctions de ces comparaisons.Then, during the steps F70 to F100, the values FP (1) to FP (4) are compared and, in the steps F110 to F140, conclusions are established according to these comparisons.

Plus précisément, à l'étape F70, FP(1) est comparé à FP(2). Si une différence importante est constatée, cela indique qu'un équipement du réseau 1 est défaillant. Ainsi, à l'étape F110, la comparaison des débits et niveaux mesurés et simulés permet d'identifier l'équipement défaillant. Par exemple si le débit mesuré d'une pompe plafonne à un niveau donné inférieur au débit simulé de la pompe, cela indique que la pompe est défectueuse. Le dispositif de commande 8 peut alors afficher une recommandation de maintenance de cette pompe à destination du gestionnaire du réseau 1.Specifically, in step F70, FP (1) is compared to FP (2). If a significant difference is found, it indicates that a device of the network 1 is defective. Thus, in step F110, the comparison of measured and simulated flow rates and levels makes it possible to identify the faulty equipment. For example, if the measured flow rate of a pump peaks at a given level lower than the simulated flow rate of the pump, it indicates that the pump is defective. The control device 8 can then display a maintenance recommendation for this pump to the network manager 1.

A l'étape F80, FP(2) est comparé à FP(3). Si une différence importante est constatée, cela indique que la pluie-type sélectionnée pour l'événement pluvieux était éloignée de la pluie effectivement tombée. Autrement dit, la détection et la prévision de la pluie doivent être améliorées pour permettre de mieux sélectionner la pluie-type. Ainsi, à l'étape F120, le dispositif de commande 8 affiche une recommandation d'amélioration de la détection et de la prévision de la pluie.In step F80, FP (2) is compared to FP (3). If a significant difference is found, it indicates that the rain-type selected for the rain event was far from the rain actually falling. In other words, rain detection and forecasting needs to be improved to better select the rain-type. Thus, in step F120, the control device 8 displays a recommendation for improving the detection and prediction of rain.

A l'étape F90, FP(3) est comparé à FP(4). Si une différence importante est constatée, cela indique que le jeu de consignes sélectionné pour l'événement pluvieux était sous-optimal. Ainsi, à l'étape F130, le dispositif de commande 8 affiche une recommandation d'ajouter une pluie-type à la liste de types de pluie, avec les consignes optimales correspondantes. Ainsi, si la recommandation est acceptée (par exemple par un opérateur), le dispositif de commande 8 détermine, pour la nouvelle pluie-type et pour chaque état réseau de la liste d'état du réseau, un nouveau jeu de consigne. A cet effet, le dispositif de commande 8 met en oeuvre un algorithme d'optimisation, comme expliqué précédemment en référence à l'étape E70.In step F90, FP (3) is compared to FP (4). If a significant difference is found, this indicates that the set of setpoints selected for the rain event was suboptimal. Thus, in step F130, the controller 8 displays a recommendation to add a rain-type to the list of rain types, with the corresponding optimal setpoints. Thus, if the recommendation is accepted (for example by an operator), the control device 8 determines, for the new standard rain and for each network state of the network status list, a new set of instructions. For this purpose, the control device 8 implements an optimization algorithm, as explained above with reference to step E70.

Pour les étapes F70 à F90 précitées, une différence importante signifie par exemple une différence supérieure à un seuil prédéterminé.For the steps F70 to F90 above, a significant difference means for example a difference greater than a predetermined threshold.

Enfin, à l'étape F100, FP(4), qui représente les performances optimisées du réseau 1 pour la pluie tombée, est comparé à un seuil de performance. Si les performances optimisées sont jugées insuffisantes, alors à l'étape F140 le dispositif de commande 8 affiche une recommandation d'étudier l'amélioration de la structure du réseau 1 ou de sa gestion temps réel.Finally, in step F100, FP (4), which represents the optimized performance of the network 1 for the fallen rain, is compared to a performance threshold. If the optimized performance is considered insufficient, then in step F140 the controller 8 displays a recommendation to study the improvement of the structure of the network 1 or its real-time management.

Les étapes de la figure 6 permettent donc, après un événement pluvieux, de diagnostiquer les causes d'une éventuelle sous-performance du réseau 1, et d'indiquer les pistes d'amélioration à étudier.The stages of the figure 6 Therefore, after a rainy event, we can diagnose the causes of a possible underperformance of network 1, and indicate the areas of improvement to be studied.

L'invention a été décrite précédemment en référence à un mode de réalisation dans lequel les actionneurs du réseau sont des pompes et les consignes de commande sont des hauteurs hmax. Bien entendu, l'invention peut concerner d'autres types d'actionneur, par exemple des vannes, et d'autres types de consigne de commande. La loi de commande des pompes peut être différente de celle représentée sur la figure 2.The invention has been described above with reference to an embodiment in which the actuators of the network are pumps and the control instructions are heights h max . Of course, the invention may relate to other types of actuator, for example valves, and other types of control setpoint. The control law of the pumps may be different from that shown on the figure 2 .

Dans une variante, la liste d'état du réseau comprend, initialement, uniquement l'état nominal EN. Les étapes représentées sur la figure 5 permettent d'ajouter un ou des états supplémentaires si nécessaire.In a variant, the network status list initially comprises only the nominal state EN. The steps represented on the figure 5 allow to add one or more additional states if necessary.

Dans une variante également, la liste de types de pluie peut être initialement vide. Dans ce cas, si le dispositif de commande 8 dispose d'une puissance de calcul suffisante pour mettre en oeuvre l'algorithme d'optimisation dans l'intervalle de temps entre la prévision d'une pluie et l'apparition effective de la pluie, un premier type de pluie correspondant à la pluie prévue peut être ajouté à la liste de types de pluie avec le jeu de consignes déterminés, avant l'apparition de la pluie. Les consignes déterminées peuvent alors être appliquées.In a variant also, the list of types of rain can be initially empty. In this case, if the control device 8 has sufficient computing power to implement the optimization algorithm in the time interval between the rain forecast and the actual occurrence of the rain, a first type of rain corresponding to the expected rain can be added to the list of types of rain with the determined set of instructions, before the appearance of the rain. The determined instructions can then be applied.

Claims (9)

  1. A control method for controlling a wastewater network (1), said network including actuators (P1-P10) suitable for influencing the flow rates of water in the network, with the behavior of the actuator depending on setpoints, the method comprising:
    • a step (E20) of selecting a rain type from a list of predetermined rain types,
    • a step (E40) of sending the setpoints of the selected set of setpoints to said actuators,
    • a step (E10) of obtaining first state information representative of a current state of the network, said set of setpoints being selected from the list of predetermined sets of setpoints as a function of the first state information,
    the control method further comprising:
    • a step (E50) of obtaining second state information representative of a current or forecast state of the network,
    • a step (E70) of determining at least one new set of setpoints as a function of a model of the network and as a function of the second state information, and
    • a step (E80) of adding said new set of setpoints to said list of sets of setpoints,
    in which said step of determining at least one set of setpoints comprises determining (E60) the model of the network as a function of a nominal model of the network and the second state information,
    characterized in that it further comprises:
    • a step (E20) of selecting a rain type from a list of predetermined rain types, as a function of forecast or measured rain,
    • a step (E30) of selecting a set of setpoints from a list of predetermined setpoints, as a function of the selected rain type,
    • a step (F60) of evaluating optimum performance of the network during a rain event,
    • a step (F40) of evaluating simulated performance of the network, as a function of a rain hyetograph of the rain event and as a function of a set of setpoints selected as a function of said rain hyetograph,
    • a step (F90)of comparing said optimum and simulated performance evaluations.
  2. A control method according to claim 1, wherein said step of determining at least one new set of setpoints comprises determining a new set of setpoints for each rain type in the list of rain types.
  3. A control method according to one of claims 1 and 2, wherein said step of determining at least one new set of setpoints comprises executing an optimization algorithm optimizing the performance of the network.
  4. A control method according to one of claims 1 to 3, comprising;
    · a step (F20) of evaluating the real performance of the network during a rain event,
    · a step (F30) of evaluating the simulated performance of the network, as a function of a rain hyetograph of the rain event and as a function of the set of setpoints selected during the rain event,
    · a step (F70) of comparing said real and simulated performance evaluations.
  5. A control method according to one of claims 1 to 3, comprising:
    · a step (F30) of evaluating first simulated performance of the network, as a function of a rain hyetograph of the rain event and as a function of the set of setpoints selected during the rain event,
    · a step (F40) of evaluating second simulated performance of the network, as a function of said rain hyetograph and as a function of a set of setpoints selected as a function of said rain hyetograph,
    · a step (F80) of comparing said first and second simulated performance evaluations.
  6. A computer program including instructions for executing the steps of the control method according to claim 1 when said program is executed by a computer.
  7. A data medium readable by a computer and including instructions of a computer program according to claim 6.
  8. A control device (8) for a wastewater network (1), said network including actuators (P1-P10) suitable for influencing the water flow rates in the network, the behavior of the actuators depending on setpoints, the control device comprising;
    · means for selecting a rain type from a list of predetermined rain types, as a function of forecast or measured rain,
    · means for selecting a set of setpoints from a list of predetermined sets of setpoints, as a function of the selected rain type, and
    · means for sending the setpoints of the selected set of setpoints to said actuators,
    the control device further comprising:
    · means for obtaining first state information representative of a current state of the network, said set of setpoints being selected from the list of predetermined sets of setpoints as a function of the selected rain type and as a function of the first state information,
    · means for obtaining second state information representative of a current or forecast state of the network,
    · means for determining at least one new set of setpoints as a function of a model of the network and as a function of the second state information, and
    · means for adding said new set of setpoints to said list of sets of setpoints,
    wherein the means for determining at least one new set of setpoints comprises means for determining the model of the network as a function of a nominal model of the network and the second state information,
    the control device being suitable for:
    · evaluating optimum performance of the network during a rain event,
    · evaluating simulated performance of the network, as a function of a rain hyetograph of the rain event and as a function of a set of setpoints selected as a function of said rain hyetograph,
    · comparing said optimum and simulated performance evaluations.
  9. A wastewater network (1) including actuators (P1-P10) suitable for influencing the water flow rates in the network, the behavior of the actuators depending on setpoints, and a control device (8) according to claim 8.
EP11773041.6A 2010-09-13 2011-09-07 Method and device for controlling a waste water network Active EP2616600B1 (en)

Applications Claiming Priority (2)

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FR1057272A FR2964674B1 (en) 2010-09-13 2010-09-13 METHOD AND DEVICE FOR CONTROLLING A RESIDUAL WATER NETWORK
PCT/FR2011/052043 WO2012035235A1 (en) 2010-09-13 2011-09-07 Method and device for controlling a waste water network

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EP2616600B1 true EP2616600B1 (en) 2017-10-04

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US11183843B1 (en) 2011-05-26 2021-11-23 J. Carl Cooper Power source load control
US11522365B1 (en) 2011-05-26 2022-12-06 J. Carl Cooper Inverter power source load dependent frequency control and load shedding
US10879727B1 (en) * 2011-05-26 2020-12-29 James Carl Cooper Power source load control
CA2895061C (en) 2012-12-19 2021-10-19 Jon Erik RASMUSSEN Method, system, and apparatus for flood control
US10082806B2 (en) * 2013-08-28 2018-09-25 Horiba Stec, Co., Ltd. Flow-rate control device and flow-rate control program
US10501925B1 (en) 2015-03-20 2019-12-10 Christopher Conway Lavenson Notifications for reducing overflows from combined sewer systems and sanitary sewer systems
CN106599451B (en) * 2016-12-12 2020-06-12 西安交通大学 Multi-objective optimization method for RV reducer main bearing
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US20020170350A1 (en) * 2001-05-18 2002-11-21 Schutzbach James S. Method and system for analyzing the effect of inflow and infiltration on a sewer system
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FR2964674A1 (en) 2012-03-16
EP2616600A1 (en) 2013-07-24
FR2964674B1 (en) 2012-10-12

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