A system for quantitative water management comprises: at least two interconnected water production entities (U), at least one water resource (S) linked to one at least of the production entities (U), at least one demander element (D) requesting water produced defined by a pre-established temporal curve of water demand produced as a function of time, each link between production entities (U), water resources (S) and demander elements (D) being ensured by a transfer work (C) having a predetermined maximum flowrate and being able to be interconnected, each production entity (U) and each water resource (S) furthermore being associated with a weighting function P, and a calculator adapted to minimize the global weighting function Pg of the system while guaranteeing compliance with the pre-established temporal curve of water demand produced of each demander element (D) under constraint of compliance with the maximum flowrates of the various elements of the system.

Ultra-high accuracy elevation and pressure telemetry devices are used to develop an autonomous, self-calibrating hydraulic piping network computer simulation model. Virtual pressure reducing valve (PRV) model elements force a local downstream calibration of the model using the pressure telemetry data, overcoming the potential ill conditioned state when simulating wide ranging, real world operational conditions. This technique also creates a smaller solution set for calibration optimization algorithms such as machine learning. Additional benefits of this technique include the ability to ignore complex facilities such as pump stations, water storage tanks, and control valves enabling a more rapid development of the real-time water piping network computer simulation model.

A system is provided for detecting abnormal consumption in one portion of a distributed water infrastructure while normal water usage occurs in another portion of the distributed water infrastructure. The system may comprise at least one processor. The system may receive from at least one sensor associated with the distributed water infrastructure indications of regular water usage. The system may determine, from a plurality of indications received over a time period, a plurality of baseline water usage profiles. The system may receive from the at least one sensor a current water usage profile. The system may compare the current water usage profile with the plurality of baseline water usage profiles. The system may determine an abnormal water consumption based on the comparison between the current water usage profile and the plurality of baseline water usage profiles. The system may generate an abnormal water consumption signal when abnormal water consumption is determined.

A system is provided for detecting abnormal consumption in one portion of a distributed water infrastructure while normal water usage occurs in another portion of the distributed water infrastructure. The system may comprise at least one processor. The system may receive from at least one sensor associated with the distributed water infrastructure indications of regular water usage. The system may determine, from a plurality of indications received over a time period, a plurality of baseline water usage profiles. The system may receive from the at least one sensor a current water usage profile. The system may compare the current water usage profile with the plurality of baseline water usage profiles. The system may determine an abnormal water consumption based on the comparison between the current water usage profile and the plurality of baseline water usage profiles. The system may generate an abnormal water consumption signal when abnormal water consumption is determined.

A system is provided for differentiating between overlapping water events in a distributed water infrastructure including a plurality of water appliances. The system may comprise at least one processor. The system may repeatedly measure at least one overall water usage indicator of the distributed water infrastructure, the at least one water usage indicator including at least one of an overall flow rate and an overall flow volume in the distributed water infrastructure. The system may detect, in the repeated measurements, a first sustained increase. The system may store in memory a first indicator of the first sustained increase. The system may attribute in memory the first sustained increase to a first water event in the distributed water infrastructure. The system may, during the first sustained increase, detect in the overall measurements a second sustained increase. The system may store in memory a second indicator of the second sustained increase. The system may attribute, in memory, the second sustained increase to a second water event in the distributed water infrastructure. The system may detect, following initiation of the first sustained increase and the second sustained increase, in the repeated measurements a decrease in the overall water usage indicator. The system may attribute to the decrease a third indicator. The system may compare the third indicator with at least one of the first indicator and the second indicator stored in memory to determine a substantial match and determine a cessation of at least one of the first water event and the second water event. The system may initiate an action based on the cessation determination.

A computer apparatus runs a hydraulic model using real-time or near-real-time data from an Automated or Advanced Metering Infrastructure (AMI), to improve model accuracy, particularly by obtaining more accurate, higher-resolution water demand values for service nodes in the model. Improving the accuracy of water demand calculation for the service nodes in the model stems from an improved technique that more accurately determines which consumption points in the water distribution system should be associated with each service node and from the use of real-time or near-real-time consumption data. The computer apparatus uses the water demand values to improve the accuracy and resolution of its water flow and pressure estimates. In turn, the improved flow and pressure estimation provides for more accurate control, e.g., pumping or valve control, flushing control or scheduling, leak detection, step testing, etc.

A computer apparatus runs a hydraulic model using real-time or near-real-time data from an Automated or Advanced Metering Infrastructure (AMI), to improve model accuracy, particularly by obtaining more accurate, higher-resolution water demand values for service nodes in the model. Improving the accuracy of water demand calculation for the service nodes in the model stems from an improved technique that more accurately determines which consumption points in the water distribution system should be associated with each service node and from the use of real-time or near-real-time consumption data. The computer apparatus uses the water demand values to improve the accuracy and resolution of its water flow and pressure estimates. In turn, the improved flow and pressure estimation provides for more accurate control, e.g., pumping or valve control, flushing control or scheduling, leak detection, step testing, etc.

The invention relates to a water intake floating row cleaning system, including first vertical guide rail assemblies, a floating row, submersible pumps, water spraying assemblies, second vertical guide rail assemblies, floating fences and pumping assemblies, wherein the water spraying assemblies are communicated with the submersible pumps, and the submersible pumps pump the water of the river channel and spray the water towards the outside through the water spraying assemblies; and the floating fences stretch across the water intakes and float along with a water level, and the pumping assemblies are used for pumping out garbage blocked by the floating fences. The invention has the effect of efficiently cleaning the floating garbage at the water intakes.

The invention relates to a water intake floating row cleaning system, including first vertical guide rail assemblies, a floating row, submersible pumps, water spraying assemblies, second vertical guide rail assemblies, floating fences and pumping assemblies, wherein the water spraying assemblies are communicated with the submersible pumps, and the submersible pumps pump the water of the river channel and spray the water towards the outside through the water spraying assemblies; and the floating fences stretch across the water intakes and float along with a water level, and the pumping assemblies are used for pumping out garbage blocked by the floating fences. The invention has the effect of efficiently cleaning the floating garbage at the water intakes.

The present invention relates to a system and method for managing water or other fluid that provides monitoring and reliable control of the use of water or other fluid in a given territorial area, facilitating the management of water use or other fluid in processes where it is involved, for example in tasks of irrigating agricultural land or in industrial processes using fluids such as leaching. The system and method of the invention operates on the basis of a distributed monitoring and control logic implemented to control and monitor a hydraulic system located in the given territorial area by an arrangement of sensors, actuators and controllers deployed in communication with a network of nodes that allows a user to monitor, control and automate the use of water in that territorial area, reducing to almost zero user intervention in the process of monitoring and control to almost zero.