Abstract: A method is provided for placing sensors in a fluid distribution network by simulating network operating scenarios; by determining candidate sets of sensor positions; by determining the measurements of each sensor in each scenario, and the detection of associated anomalies; by attributing a score to each candidate set of sensor positions, representing the capacity of the sensors placed in the positions of the set to accomplish a mission. Finally, the candidate sets are modified using so-called genetic algorithms until a stop criterion is validated. The genetic algorithms can for example consist in crossing over or mutating candidate sets.

Abstract: A device for detecting and characterizing anomalies in a water continuum is provided. The device is configured to receive measurements of physical quantities on the basis of sensors situated in the water continuum. The measurements are thereafter transformed, and a detection of anomalies is performed by a detector of anomalies which is trained with transformed values arising from the same sensors. In parallel with the detection, predefined rules make it possible to characterize a possible anomaly. Thus, an anomaly detection can be optimized for a water continuum in particular, whilst characterization with predefined rules allows the device to be operational without each anomaly having needed to be detected in this water continuum in particular.

Abstract: A method and a system for detecting anomalies in a water distribution system comprises a network of nodes, and is equipped with sensors of at least water velocity at a subset of the nodes. The water distribution system is modeled by a hydraulic model. The method comprises parametrizing the hydraulic model with initial values of a set of control variables, using the sensors to obtain values of state variables of the network at the nodes, using the hydraulic model to calculate predicted values of state variables, recursively calculating the values of control variables which, applied to the hydraulic model, permit to obtain the predicted values of state variables the closest to the observed values, and classifying nodes of the network based on the values of control variables.

Abstract: A method for identifying the source of pressure transients in a water distribution network comprising a plurality of high-frequency pressure sensors installed therein. The method includes an acquisition step to acquire a plurality of pressures values for each high frequency pressure sensor during a preset time limit, said plurality of pressures values defining a sampled pressure variation record nearby each sensor during said preset time limit; a detection step for detecting transient events amongst the sampled pressure variation record; a grouping step for grouping detected transient events amongst the sampled pressure variation record; and a localization step for localizing the source of said grouped transient events in function of said sampled pressure variation records.

Abstract: A method is provided for placing sensors in a fluid distribution network by simulating network operating scenarios; by determining candidate sets of sensor positions; by determining the measurements of each sensor in each scenario, and the detection of associated anomalies; by attributing a score to each candidate set of sensor positions, representing the capacity of the sensors placed in the positions of the set to accomplish a mission. Finally, the candidate sets are modified using so-called genetic algorithms until a stop criterion is validated. The genetic algorithms can for example consist in crossing over or mutating candidate sets.

Abstract: A process for monitoring the concentration of bacteria in the water of a water distribution network, wherein the process includes the following steps: measuring the concentration of bacteria in the water by means of a first sensor positioned at a first location in the water distribution network, determining a variable instantaneous value of the expected concentration of bacteria in the water at the first location as a function of a parameter characteristic of the water, comparing the concentration of bacteria in the water measured by the first sensor to the variable instantaneous value, corrective action acting on the concentration of bacteria in the water if the concentration of bacteria in the water measured by the first sensor exeeds the variable instantaneous value. A device for monitoring the concentration of bacteria in the water of a water distribution network is also provided.

Abstract: A device for detecting and characterizing anomalies in a water continuum is provided. The device is configured to receive measurements of physical quantities on the basis of sensors situated in the water continuum. The measurements are thereafter transformed, and a detection of anomalies is performed by a detector of anomalies which is trained with transformed values arising from the same sensors. In parallel with the detection, predefined rules make it possible to characterize a possible anomaly. Thus, an anomaly detection can be optimized for a water continuum in particular, whilst characterization with predefined rules allows the device to be operational without each anomaly having needed to be detected in this water continuum in particular.

Abstract: Disclosed is a method for detecting anomalies in a distribution network equipped with sensors. The steps are: acquiring for each sensor a time series of physical measurements separated by time intervals; defining time windows each corresponding to a plurality of successive time intervals; extracting operational characteristics of each time series in each time window; forming, for each time window, at least one current vector having for coordinates the operational characteristics, structural data relating to the network and situational characteristics specific to the time window; comparing the current vector with preceding vectors corresponding to preceding time windows and the situational characteristics and structural data of which are similar to those of the current vector; and signalling an anomaly in cases where the current vector is significantly dissimilar to the preceding vectors.

Abstract: A process for monitoring the concentration of bacteria in the water of a water distribution network, wherein the process includes the following steps: measuring the concentration of bacteria in the water by means of a first sensor positioned at a first location in the water distribution network, determining a variable instantaneous value of the expected concentration of bacteria in the water at the first location as a function of a parameter characteristic of the water, comparing the concentration of bacteria in the water measured by the first sensor to the variable instantaneous value, corrective action acting on the concentration of bacteria in the water if the concentration of bacteria in the water measured by the first sensor exeeds the variable instantaneous value. A device for monitoring the concentration of bacteria in the water of a water distribution network is also provided.

Abstract: A method for the detection of anomalies in a networked water distribution system is provided. It improves detection methods based on an iterative modification of control variables of the network, by determining a reduced set of entities of the water distribution network on which control variables should be iteratively modifier. The invention increases the computing costs, and the reliability of such methods of detecting anomalies in a water distribution system.

Abstract: A method and a system for detecting anomalies in a water distribution system comprises a network of nodes, and is equipped with sensors of at least water velocity at a subset of the nodes. The water distribution system is modeled by a hydraulic model. The method comprises parametrizing the hydraulic model with initial values of a set of control variables, using the sensors to obtain values of state variables of the network at the nodes, using the hydraulic model to calculate predicted values of state variables, recursively calculating the values of control variables which, applied to the hydraulic model, permit to obtain the predicted values of state variables the closest to the observed values, and classifying nodes of the network based on the values of control variables.

Abstract: Disclosed is a method for detecting anomalies in a distribution network equipped with sensors. The steps are: acquiring for each sensor a time series of physical measurements separated by time intervals; defining time windows each corresponding to a plurality of successive time intervals; extracting operational characteristics of each time series in each time window; forming, for each time window, at least one current vector having for coordinates the operational characteristics, structural data relating to the network and situational characteristics specific to the time window; comparing the current vector with preceding vectors corresponding to preceding time windows and the situational characteristics and structural data of which are similar to those of the current vector; and signalling an anomaly in cases where the current vector is significantly dissimilar to the preceding vectors.