A non-invasive thermal dispersion flow meter with chronometric monitor for fluid leak detection includes a heater, an ambient temperature sensor and a flow rate sensor which are configured to sense the temperature of a fluid in a conduit, and then monitor the flow of that fluid through the conduit. Based upon the ambient temperature sensor readings, the flow rate sensor and heater may be adjusted to optimize the operation of the system to detect leaks. Based on the sensor readings, the flow may be adjusted to prevent damage and leaks by relieving the system of excess pressure. Geographic location, occupancy sensors and occupant identifiers are used to control the system to facilitate operation and minimize leak damage when occupants are away.

An approach for collecting disparate data within a pipe involves a sensor arrangement configured to be deployed within the pipe. The sensor arrangement includes a plurality of sensors configured to detect disparate data related to the pipe. Each sensor of the plurality of sensors is coupled to a respective collection computer on the sensor arrangement. A synchronization module is configured to synchronize the disparate data. A database is configured to store the synchronized data. A processor is configured to process the synchronized data. A user interface configured to present the synchronized data to a user.

An apparatus for automatic leak detection, including a chamber to enclose a test specimen. A vacuum pump is in selectable fluid communication via an adiabatic noise cancellation valve with the chamber. A pressure transducer determines a pressure in the test specimen and transmits a pressure signal to a controller. The controller is to control the adiabatic noise cancellation valve to cause the vacuum pump to draw a vacuum from a space between the test specimen and the chamber thereby creating an adiabatic noise cancelling condition in which a temperature of the test specimen is stabilized. The controller is to control a flow of a test gas into the test specimen, and to determine a pressure decay rate from the pressure signal. The controller is to determine if the test specimen meets a leak test specification based on the pressure decay rate under the adiabatic noise cancelling condition.

A test device and a calibration method thereof are disclosed. The test device for calibrating a test equipment, which is used to test a waterproof level of an electronic apparatus, comprises: two plates, which are pressed against each other with pressure, wherein minor gap between the two plates are used as water leakage path.

Systems and methods for calibrating a leak test machine for a manufacturing line are provided. The leak test machine is configured to detect leakage defects in workpieces produced by the manufacturing line. The method involves operating at least one processor to: receive, from the leak test machine, defect data; receive, from at least one sensor, environmental data; update at least one predictive model using the defect data and the environmental data; receive, from the at least one sensor, current environmental data; determine at least one calibration setting for the leak test machine based on the at least one predictive model and the current environmental data, the at least one calibration setting compensating for an effect of the at least one current environment condition on the leak test machine; and test, with the leak test machine using the at least one calibration setting, at least one workpiece.

This disclosure relates to fluid conduit that incorporates sensors printed on an exterior wall of the fluid conduit configured to sense an operating parameter of the fluid conduit. A wireless communication device communicatively connected to the printed electronic material is configured to wirelessly transmit the operating parameter to a mobile device.

Systems, methods, and a computer readable medium are provided for monitoring and detecting a gas emission. Sensor data including gas concentration and wind data associated with a gas emission from an emission source is received from Near-Field and Far-Field sensors configured within a gas production and distribution environment. The sensor data can be provided as inputs to a Near-Field dispersion model to determine an emission rate associated with the gas emission and one or more source locations associated with the gas emission. The emission rate can be included in emission data and provided for output. Related apparatus, systems, techniques, and articles are also described.

A system and method for identifying and measuring the quantity of leakage from a conduit used in the conveyance of a fluid, such as a hydrocarbon fluid, for example oil, or a gas, such as natural gas. The system includes a measurement device configured to measure a distributed temperature along a length of the conduit. The system further includes a processor configured to calculate a change in volume of the fluid in the conduit for each of a plurality of sections of the length of the conduit based on the distributed temperature. The processor is further configured to calculate a correction factor based on the change in volume of the fluid. The processor is also configured to calculate a corrected mass-balance differential using the correction factor, and compare the corrected mass-balance differential to a predetermined leakage threshold to identify whether a leak exists in the conduit.

A system and method of predicting impending failure of a pressure vessel include a pressure vessel, a fluid source, a line coupled to the pressure vessel and to the fluid source, an apparatus, a sensor and a controller. The apparatus includes a conduit and a containment structure. The containment structure includes a cavity separated from an interior of the conduit by a portion of a conduit wall of the conduit. The sensor is configured to determine a value of a physical property in the cavity. The controller is in signal communication with the sensor and configured to detect a change in the value. The method includes determining a first value of a physical property in the cavity, experiencing a failure of the conduit wall, determining a second value of the physical property in the cavity, and detecting a difference between the first and second values.

Provided is an underground pipe leak detection system, including a sensing device, a storage device, and a processing device. The sensing device is used for collecting a voice signal from an underground pipe during a time period. The storage device is used for storing a voice dataset, and storing the voice signal transmitted by the sensing device. The processing device may access the storage device. The processing device is configured to execute the following operations: training a classification model using the voice dataset; extracting features of the voice signal; inputting the features of the voice signal into the classification model that has been trained to determine if there is a leak in the underground pipe.