Disclosed, is a system for pipe network failure classification, including a network part sensor layer for monitoring pipe(s) operation condition and collecting related parameter values. A system pipe network parts database includes feature parameter value records of pipes in the pipe network. A classification processing logic, intermittently receive sensor collected parameters from said network part sensor layers, references records of the pipe network parts database and retrieves one or more feature parameter values associated with the failed pipe's operational or environmental conditions, and classifies the pipe failure into one of two or more failure categories.

Provided is a water leakage detection method for detecting water leakage of a water pipe by a water leakage detection apparatus that includes a processor and a display device. The method includes: a first procedure of the processor acquiring a water leakage detection result of the water pipe in a district metered area, the district metered area being a range to be measured by a flow meter; a second procedure of the processor acquiring a water leakage detection result of the water pipe obtained based on measurement data of a vibration sensor terminal attached to the water pipe; and a third procedure of the processor outputting, a screen for displaying the water leakage detection result obtained based on the measurement data of the flow meter together with the water leakage detection result obtained.

An intelligent water-monitoring system includes a water-monitoring device installable inline with a building water system (e.g., at an inlet of the system). A plurality of sensors of the water-monitoring device are configured to sense properties of the building water system, such as water pressure and water flow. The water-monitoring device has a valve and a controller configured to automatically shut the valve in response to sensed data indicating a possible problem in the building water system. The intelligent water-monitoring system may include an app executable by a computing device to display information based on the sensed data.

A fluid leakage control apparatus has at least one primary sensor (3), and at least one secondary sensor (5) connected together to communicate with a computer processor unit (13), to open at least one fluid flow valve (such as a solenoid valve), through which fluid such as water or gas can flow. It can be made using flow sensors connected to one or more of motion and sound sensors, and powered by AC mains power or batteries, to form a communication network with a computer or microcomputer. The apparatus may be installed along domestic or industrial piping systems, to monitor and prevent water wastage in the event of a burst pipe by closing off a mains valve (2). Also disclosed is a method of fluid leakage control to monitor sensors to ascertain a burst state, and close off a mains valve (2), preventing fluid wastage.

Methods, systems, computer program products, and devices for in-pipeline optical interference-based cognitive systems for leak and defect detection are provided herein. A computer-implemented method includes obtaining optical interference-related data pertaining to at least one interior portion of a pipeline; obtaining multiple items of sensor data pertaining to the at least one interior portion of the pipeline; generating one or more pipeline-irregularity predictions by applying an inference-based algorithm to the optical interference-related data, the multiple items of sensor data, and one or more additional items of data, wherein each of the one or more pipeline-irregularity predictions comprises an identified location within the interior surface of the pipeline of a predicted irregularity and an estimated size of the predicted irregularity; and outputting the one or more pipeline-irregularity predictions to one or more users.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for water monitoring are disclosed. A system includes one or more processors and one or more computer storage media storing instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations. The operations include determining with a leak sensor that a water leak is occurring at a property; after determining that the water leak is occurring at the property, determining that a water usage profile of a particular water consuming device matches characteristics of the water leak; based on determining that the water usage profile of a particular water consuming device matches characteristics of the water leak, identifying a water consuming device that is likely leaking; and in response to identifying the water consuming device that is likely leaking, performing a system action.

Example aspects of a nozzle cap for a fire hydrant and a method for manufacturing a nozzle cap to detect leaks in a fluid system are disclosed. The nozzle cap for a fire hydrant can comprise a cap body, the cap body comprising an inner housing and an outer housing, the outer housing defining a cavity; a vibration sensor received within the cavity and configured to detect leaks in a fluid system connected to the fire hydrant; and a metal insert contacting the vibration sensor and the inner housing.

A method for creating a pressure pulse in a fluid system with a noisemaker, the method includes opening a valve of the noisemaker to allow a fluid of the fluid system to flow through a valve cavity of the noisemaker, the valve disposed within the valve cavity, the noisemaker connected in fluid communication with the fluid system; closing the valve of the noisemaker to abruptly interrupt the flow of the fluid through the valve cavity; and repeatedly opening and closing the valve to generate a pulsating flow to the fluid system.

A pipe diagnostic system includes a sensor capsule, measurement circuitry and a controller. The sensor capsule is configured to be coupled to an exterior surface of a pipe and has at least one temperature sensitive element disposed therein. The measurement circuitry is coupled to the sensor capsule and is configured to measure an electrical characteristic of the at least one temperature sensitive element and provide an indication of the measurement. The controller is coupled to the measurement circuitry and is configured to obtain a transmitter reference measurement and employ a heat transfer calculation with the transmitter reference measurement and the indication to generate an estimated process fluid temperature. The controller is further configured to obtain an indication of process fluid temperature and provide a pipe diagnostic indication based on a comparison of the estimated process fluid temperature and the obtained indication of process fluid temperature.

Assembly (10) for measuring a leakage in a drinking water supply system, with a backflow preventer (12), wherein the backflow preventer (12) is opened if there is a pressure drop caused by drinking water consumption downstream of the backflow preventer (12) as viewed in a flow direction of the drinking water, and wherein the backflow preventer (12) is closed if there is no pressure drop caused by drinking water consumption downstream of the backflow preventer (12), as viewed in the flow direction of the drinking water, with a volume flow meter (13) connected in parallel to the backflow preventer (12) and via which, if the backflow preventer (12) is closed, a leakage flow of drinking water caused by a leakage in the drinking water supply system downstream of the backflow preventer (12) can be routed, wherein the volume flow meter (13) is integrated into a bypass (14) to the backflow preventer (12).