Water leaks and other anomalies in irrigation systems may be detected by analysis of energy consumption data captured from a utility power meter, and particularly energy data from smart meters that service water pumps. Furthermore, water usage can be measured indirectly from the energy required to move it given an understanding of its operating condition that ties water flow and electrical power. Unlike existing solutions that use water meters or other sensors, embodiments of the present method described herein detect water leaks and other anomalies from the electrical load for the water pump(s) and track the operating condition of the pump.

An exemplary system for an interactive water supply management system for use in residential and commercial properties and a method of installation and use are provided. In the preferred embodiment is a system comprising a water consumption sensor capable of being externally mounted to a water meter, circuitry for the collection of water consumption data, a communication system allowing two way communication with a user and a water main valve shutoff. Remote vibration sensors on water pipes or acceleration sensors on manually articulated water valves provide feedback to the system to allow automatic identification of water consumed by each faucet or appliance. The communication system includes a means of two way communication through the manipulation of the water flow rate by the water shut off valve or by a user.

A fluid monitoring system has a plurality of sensors, the sensors being acoustically coupled to a pipe system containing interconnected fluid-transporting pipes. The sensors collect sensor data that is analyzed by an analysis system to provide leak identification on the pipe system. Each sensor in the plurality of sensors is configured to be programmed adaptively by the analysis system to improve system performance parameters. A method for analyzing fluid flow is also described in which data from a plurality of acoustic sensing devices is analyzed using learning algorithms.

Described herein are systems, devices, and methods for detecting leaks of liquids or gases in a transporting network. In one embodiment, a flow detector for detecting volume and direction of flow is attached to a system transporting such liquid or gas, changes are sensed over time, and data is sent to and from a controller. In alternative embodiments, static and dynamic states are identified and differentiated to identify relatively small leaks. In some embodiments, the transporting network is emptied in whole or in part, thereby allowing the measurement of relatively small leaks. In some embodiments, aggregate measurement data is processed to identify usage and performance features particular to the transporting network, which allows a continuous improvement in the measurement of leaks and flow direction. In some embodiments, corrective action is taken automatically, while in other embodiments human operators order corrective action.

The use of ultrasonic transducers installed in utility meters is provided for the detection of fluid leaks in a conduit. Such transducers are normally used to transmit acoustic waves in order to measure the velocity of fluid flow, but it is disclosed that such transducers are also capable of detecting leak noises in addition to such transmitted acoustic waves.

The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.

An abnormal consumption detection system is provided with remote valve control for a distributed water infrastructure. The system may comprise an electronically controllable valve, a remote communication transmitter, a remote communication receiver, at least one sensor for measuring water flow information associated with the distributed water infrastructure, and at least one processor. The system may determine from the water flow information obtained from the at least one sensor a potential abnormal consumption associated with the distributed water infrastructure. The system may automatically close a valve, without human intervention, when the potential abnormal consumption is determined. The system may transmit, via the remote communication transmitter to a remote administrator, alert information about the potential abnormal consumption to enable an administrator to decide based on the transmitted information whether to reopen the valve. The system may receive from the administrator via the remote communication receiver a control signal to reopen the valve, despite the information about the potential abnormal consumption, and reopen the valve.

Fluid leaks are identified and located by successively monitoring changes in fluid flow and sound velocities of fluid at a plurality of locations in the pipe with flow meters, such as with ultrasonic flow meters. Preferably the successive monitoring sampling rates are sufficiently high to measure instantaneous velocity changes. A controller coupled to the meters associates changes in monitored fluid flow and sound velocities in two locations along the pipe with a leak event occurring between those locations. The controller identifies the association event at each location and correlates pipe leak location based at least in part on difference in time between the respective location events. The method may be used in liquid and gas pipeline transmission systems.

A system used in monitoring one or more operating parameters of a coolant-fluid cooled industrial installation includes one or more an acoustic sensors positioned to receive and sense one or more acoustic signals in an installation coolant-fluid flow. The acoustic sensor assembly operates to emit and sense acoustic signals at frequency ranges above and/or below the background noise frequency ranges which are associated with the normal industrial installation operation. Output data signals representative of sensed acoustic signals are compared to target frequency profiles predetermined as representing an acoustic frequency associated with a predetermined installation operating parameter or event.

Water leaks in irrigation systems may be detected by analysis of water pump energy consumption data captured from a utility power meter. Unlike existing solutions that use water meters or acoustic sensors, embodiments of the present apparatus and methods described herein detect water leaks based upon the electrical load associated with the water pump(s) in irrigation lines. These methods have the advantage of not requiring any extra hardware at the site of the irrigation system.