The present disclosure provides a method for smart gas terminal management, an Internet of Things system, and a medium thereof. The method is performed by a smart gas device management platform of the Internet of Things system for smart gas terminal management. The method comprises: obtaining user data authorized for usage by a user, wherein the user data includes at least one of gas information, water usage information, electricity usage information, and network information; determining, based on the user data, residence information of the user; and determining, based on the residence information, a smart gas terminal management solution.

A system and method for communicating operation failure of a remote pipeline pneumatic device. A flow detector is used in combination with the pipeline pneumatic device. A controller in combination with the flow detector and a long range communication transmitter communicates an alarm upon detecting a predetermined flow, such as outside an expected amount. The controller can initiate a flow timer upon the actuation of the pneumatic device, and transmit an alarm upon the flow timer exceeding a predetermined value representing the expected amount.

The present invention provides methods and apparatus for determining a fluid leakage volume in a pipeline complex, the method including providing a leakage measurement apparatus, determining a fluid flowrate through the leakage measurement apparatus and adjusting an externally controlled pressure located at a pressure point in said apparatus thereby determining said fluid leakage volume.

A leakage mitigation system includes a leakage detection device having a canister configured to: (i) contain a first reactant and a second reactant and, (ii) based on a volume of liquid leaked from a tank, allow the first reactant and the second reactant to react with each other to produce a gas. A shut-off valve coupled to an inlet pipe of the tank is configured to actuate between an open condition and a closed condition. Further, a conduit extending between the leakage detection device and the shut-off valve allows flow of the gas from the leak detection device to the shut off valve. In order to mitigate the leakage of water, the shut-off valve is actuated between the open condition and the closed condition based on the pressure exerted thereon by the flow of the gas.

A leakage mitigation system includes a leakage detection device having a canister configured to: (i) contain a first reactant and a second reactant and, (ii) based on a volume of liquid leaked from a tank, allow the first reactant and the second reactant to react with each other to produce a gas. A shut-off valve coupled to an inlet pipe of the tank is configured to actuate between an open condition and a closed condition. Further, a conduit extending between the leakage detection device and the shut-off valve allows flow of the gas from the leak detection device to the shut off valve. In order to mitigate the leakage of water, the shut-off valve is actuated between the open condition and the closed condition based on the pressure exerted thereon by the flow of the gas.

An infrastructure monitoring assembly includes a nozzle cap defining an internal cavity; an antenna positioned at least partially external to the internal cavity; and the antenna covered with a non-metallic material. An infrastructure monitoring assembly includes a nozzle cap defining a first end and a second end, the first end defining a threaded bore configured to mount on a nozzle of a fire hydrant; a cover coupled to the nozzle cap opposite from the first end; an enclosure positioned at least partially between the cover and the first end, the enclosure at least partially defining a cavity; a monitoring device positioned within the cavity; and an antenna positioned between the cover and the first end of the nozzle cap, the antenna connected in electrical communication with the monitoring device, the antenna covered by a non-metallic material.

An infrastructure monitoring assembly includes a nozzle cap defining an internal cavity; an antenna positioned at least partially external to the internal cavity; and the antenna covered with a non-metallic material. An infrastructure monitoring assembly includes a nozzle cap defining a first end and a second end, the first end defining a threaded bore configured to mount on a nozzle of a fire hydrant; a cover coupled to the nozzle cap opposite from the first end; an enclosure positioned at least partially between the cover and the first end, the enclosure at least partially defining a cavity; a monitoring device positioned within the cavity; and an antenna positioned between the cover and the first end of the nozzle cap, the antenna connected in electrical communication with the monitoring device, the antenna covered by a non-metallic material.

A system for forecasting leaks in a fluid-delivery pipeline network. The system identifies a subsystem in the pipeline network that comprises a plurality of topologically connected stations. The system accesses historical temporal sensor measurements of a plurality of variables of the stations that are directly connected and generates a temporal causal dependency model for a first control variable at the first station in the subsystem, based on the plurality of time series of sensor measurements of a second variable of the first station, and temporal delay characteristics of the plurality of time series of sensor measurements of the second variable at the stations directly connected to the first station. The system automatically calculates a normal operating value of the first control variable at the first station and the deviations between actual measured values and the normal operating value and determines a threshold deviation that indicates a leak event.

A system for forecasting leaks in a fluid-delivery pipeline network. The system identifies a subsystem in the pipeline network that comprises a plurality of topologically connected stations. The system accesses historical temporal sensor measurements of a plurality of variables of the stations that are directly connected and generates a temporal causal dependency model for a first control variable at the first station in the subsystem, based on the plurality of time series of sensor measurements of a second variable of the first station, and temporal delay characteristics of the plurality of time series of sensor measurements of the second variable at the stations directly connected to the first station. The system automatically calculates a normal operating value of the first control variable at the first station and the deviations between actual measured values and the normal operating value and determines a threshold deviation that indicates a leak event.

An automated method of pipeline sensor integration for product mapping of a pipeline network is provided. The method includes acquiring, by a plurality of sensors of the pipeline network, first sensor responses of a pipeline in the pipeline network when a first hydrocarbon product is flowing through the pipeline. The method further includes using a prediction circuit to receive the acquired first sensor responses, integrate the received first sensor responses into one or more integrated first sensor responses in order to improve accuracy of the received first sensor responses, and identify the first hydrocarbon product in the pipeline based on the integrated first sensor responses. The prediction circuit is built from training data using a machine learning process. The training data includes first training sensor responses of the pipeline by the plurality of sensors acquired at a previous time when the first hydrocarbon product was flowing through the pipeline.