A fluid consumption meter (50) configured to measure a flow rate of a fluid and with a noise detection module (40) for leak detection. Also having a control device with a bi-directional communication unit (60) and being configured to receive a leak detection control signal from an external device (100), to set the fluid consumption meter (50) into a leak detection mode upon reception of the leak detection control signal, and to start a noise measurement for leak detection in said leak detection mode and to transmit data from said noise detection module, an to a leak detection system.

Sewer line and lateral inspections are made in order to detect leaks and improper connections, using steam injected into a section of sewer line. Thermal imaging of the vicinity indicates leaks and illegal connections.

A flow detector for detecting flow rates of fluid in pipes by measuring the temperature of the pipe and the ambient temperature and determining from the signals whether there is a flow in the pipe,by the shape of the temperature signals without providing any heat input to the pipe or fluid.

The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable the data analyst to quickly and efficiently explore large volume data sources, such as computer code or intellectual system. A user interface can be implanted that includes a plurality of nodes associated with portions of a process. The nodes may include indications of logical relationships between nodes. Node identifiers may be associated with particular nodes and be usable to select particular nodes. Reliability scores associated with particular nodes can be included.

Methods, systems, and apparatuses are provided for detecting and determining conditions of and conditions within a fluid conduit.

A fluid leakage diagnosing device includes: when fluid leakage relating to a pipeline is being diagnosed by employing adaptive signal processing to suppress a component of a disturbance vibration contained in a vibration measured at a prescribed location in the pipeline, an acquiring unit that acquires distribution information that is associated with a characteristic of the pipeline and represents an actual distribution result of a value of a parameter in the adaptive signal processing when performance of suppressing the component of the disturbance vibration satisfies a criterion; an estimating unit that, based on the distribution information, estimates a probability density at which the value of the parameter with which the performance satisfies the criterion exists; and a determining unit that, based on the probability density estimated by the estimating unit, determines a range to search for the value of the parameter in the adaptive signal processing.

A computer-implemented method and system for determining placement of a sensor component on a utility pipe. Data relating to the utility pipe is inputted which is processed to generate one or more variables. One or more models are trained, via the one or more variables, to produce an output indicative of a likelihood of failure variable associated with the utility pipe from each model. The outputs from all models are preferably combined into an ensemble output indicative of a likelihood of failure associated with the utility pipe. A consequence of failure variable associated with the utility pipe is determined preferably utilizing a plurality of weighted variables. A sensor placement determinative variable is then determined contingent upon the ensemble output and the consequence of failure variable associated with the utility pipe. Feedback data is then provided indicative of physical placement of one or more sensor components associated with the utility pipe based at least in part on the sensor placement determinative variable.

The invention relates to a method for leakage detection on an object flown through by a medium, in particular a pipe or a pipeline. According to the invention, a pattern is identified in the determined values for the change of the flow rate and the pressure of the medium and for a temperature change, and a probability for the presence of a leak is determined based on the identified pattern and due to self-learning systems.

Methods, systems, and computer-readable storage media for providing high-resolution assessment of the condition of pipes of a fluid distribution down to the individual pipe stick. An acoustic sensor is placed in acoustical communication with a pipe at one end of a target segment. An acoustical wave is generated in the pipe at a first out-of-bracket excitation location while signal data is recorded from the acoustic sensor. Timing information regarding the arrival at the acoustic sensor of reflections of the acoustic wave from pipe joints in the target segment is extracted from the recorded signal data, and a time delay between reflections from consecutive pipe joints is computed. An acoustic propagation velocity in a pipe stick between the consecutive pipe joints is then computed based on the time delay and a length of the pipe stick. A condition of the pipe stick is determined based on the computed acoustic propagation velocity.

The embodiments of the present disclosure provide methods and Internet of Thing systems for determining a gas leakage based on smart gas. The method may be implemented by a processor of a smart gas safety management platform based on an Internet of Things system for determining a gas leakage, comprising: obtaining first pipeline data located at a plurality of points of a gas pipeline network; determining a target pipeline section based on the first pipeline data; obtaining second pipeline data at both ends of the target pipeline section; determining a location of a gas leakage of the target pipeline section based on the second pipeline data; and feeding the location of the gas leakage back to a terminal of a gas management user.