A monitoring system includes a plurality of sensor terminals installed for a target to be measured, a base station wirelessly communicating with the sensor terminals, and a calculator communicable with the base station. The sensor terminal includes a sensor element which acquires vibration information of a target to be measured, an arithmetic unit which performs an arithmetic operation for data including the vibration information of the sensor element, and a wireless communication unit. The arithmetic unit performs a reduction process for reducing an amount of data of the sensor element. The wireless communication unit transmits data processed by the arithmetic unit to the base station. After the transmitted data is received, the base station transmits it to the calculator. The calculator includes a signal processing unit. The signal processing unit complements the reduction-processed data to acquire vibration information, and averages the vibration information for a predetermined period of time.

Disclosed herein is a method and system for predicting water leakage events in district metered area of water distribution network. The method comprises receiving historic data of water flow and water pressure associated with DMA for predicting flow data and pressure data of water in the DMA for predefined future time period. Thereafter, method comprises retrieving plurality of cluster points corresponding to the predicted flow data, the pressure data, and an anomaly score identified for each of the plurality of cluster points from machine learning model. The method detects one or more cluster points as anomaly points by comparing anomaly scores with lower bound value and upper bound value and thereafter predicts leakage events corresponding to each of the detected anomaly points. In this manner, present disclosure predicts water leakage events in DMA for future time intervals and hence necessary leakage maintenance actions may be taken to avoid such events.

A system for pipe network failure classification, may include one or more sensors, a pipe network parts database, and at least one processor communicatively networked to the one or more sensors and the pipe network parts database. The at least one processor is configured to intermittently receive sensor collected parameters from the one or more sensors, reference, upon receipt of an indication of a failure of a pipe in the pipe network, records of the pipe network parts database and retrieve one or more feature parameter values associated with the failed pipe's operational or environmental conditions, and classify the pipe failure into one of two or more failure categories associated with different failure causes, based on values of parameters associated with the failed pipe that are received from at least one of the one or more sensors or the pipe network parts database.

A method for detecting a leak, having at least the following steps: a) capturing a flow volume of a liquid through a liquid line during a multiplicity of liquid removal processes; b) comparing the flow volumes of the liquid in the respective liquid removal processes with an alarm value; c) outputting an alarm signal if the flow volume of the liquid in a liquid removal process exceeds the alarm value; d) adapting the alarm value on the basis of a frequency of the occurrence of the flow volumes of the liquid in the liquid removal processes above an adaptation value.

The disclosed technology includes a non-powered valve assembly having a valve, an actuating system, and a trigger. The trigger can be in mechanical communication with the actuating system and the actuating system can be in mechanical communication with the valve. The trigger can be positioned such that the trigger can interact with liquid resulting from a leak in a plumbing assembly. Upon interaction with liquid, the trigger can dissolve or expand, causing the actuating system to be activated and the valve to transition from the open position to a closed position. In the closed position, the valve can restrict the passage of liquid through the plumbing assembly such that the leak can be mitigated.

A data collection device and method for determining a backflow condition in a water distribution system. The data collection device receives a first data communication from a first node, the first data communication indicating a first possible backflow condition at the first node. The data collection device receives additional data communications from one or more second nodes, the additional data communications indicating backflow conditions at the second nodes. The data collection device aggregates and analyzes the first data value and the additional data values and determines that an actual backflow condition exists based on the aggregated data values and a known relationship between the first node and the second nodes. The data collection device may then perform action(s) in response to determining the backflow condition, such as reporting the backflow condition, requesting updated reporting from the nodes, closing appropriate valves, initiating pumps to increase water pressure, flushing the system, etc.

A data collection device and method for determining an alternative event condition is presented. The method includes receiving a first data communication including a first data value from a first sensor and determining a first event condition based on the first data value being beyond a predetermined threshold. The method further includes receiving additional data communications including additional data values from one or more second sensors, aggregating the first data value and the additional data values, and determining that the determination of the first event condition is incorrect based on the aggregated data values and a known relationship between the first sensor and the one or more second sensors. The method additionally includes determining a second event condition based on the first data value and the additional data values being beyond the predetermined threshold. An action may then be performed in response to the determination of the second event condition.

A method for detecting a structural anomaly in a pipeline supply network is disclosed where the pipeline supply network is configured to supply fluid to multiple receiving locations. The method comprises receiving acoustic signal data from a selected location in the pipeline supply network and generating a first time window of acoustic signal data based on the acoustic signal data. The method then includes benchmarking the first time window of acoustic signal data with respect to historical background acoustic signal data characterising the pipeline supply network to generate a corresponding background benchmarked first time window of acoustic signal data and then determining an anomaly measure for the background benchmarked first time window of acoustic signal data where the anomaly measure indicates a presence of the structural anomaly.

A service panel for controlling at least one utility actuator to control the availability of a utility comprises a covered enclosure having an exterior region and an interior region, at least one readily accessible utility control providing ON and OFF request signals and a limited access control in the exterior region providing a temporary activate signal. The service panel has a controller and data storage programmed with code and data and control circuitry providing an “ON” control signal to the at least one utility actuator to switch the at least one utility actuator to the “ON” state, and the control circuitry providing an “OFF” control signal to the at least one utility actuator to switch the at least one utility actuator to an OFF state, the control circuitry further providing a re-key signal to the at least one actuator in response to activation of a switch.

Apparatuses, systems, and methods for collecting utility meter data are described. An example system may include a flow controller and a server. The flow controller is configured to communicate with a water meter for a property and connected to at least one water outlet of a plurality of water outlets. The server is coupled to one or more infrastructure databases and the flow controller. The server includes a non-transitory computer readable media and is configured to execute instructions stored on the non-transitory computer readable media. The instructions include receiving water usage data from the flow controller and transmitting the water usage data from the water meter for the property to a water utility company.