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.

The embodiments of the present disclosure provide a method for smart gas pipeline network inspection, implemented on a smart gas pipeline network security management platform based on an Internet of Things system for smart gas pipeline network inspection, and the method comprising: obtaining a gas pipeline network distribution; determining at least one inspection sub-area based on the gas pipeline network distribution; determining, based on the at least one inspection sub-area, an inspection plan for each of the at least one inspection sub-area, the inspection plan at least including an inspection frequency.

A method for monitoring a pipeline temperature management system includes communicating, via a management console, with a controller of the pipeline temperature management system, where the controller is configured to obtain temperature data from sensors of the pipeline and control application of heat to sections of the pipeline. The method also includes displaying, via a user interface of the management console, a current state of the pipeline based on information from the controller, receiving an alarm notification based on the temperature data, and displaying the alarm notification via the user interface.

The present disclosure provides a method for smart gas pipeline frost heave safety management and an Internet of Things system. The method includes: obtaining gas transmission data and gas pipeline data and determining gas pressure change data of a target point based on the gas transmission data and gas pipeline data; predicting temperature change data of the target point based on the gas pressure change data, the temperature change data including gas temperature change data and soil temperature change data; predicting, based on the temperature change data, the gas pipeline data, and the gas pressure change data, and in combination with environmental data, a frost heave degree data of the target point; and determining, based on the frost heave degree data of the target point, the gas transmission adjustment data and a frost heave prevention plan.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

A shut-off device for a pipe in a pipeline and responsive to ingress of water, has at least two valves for installation in the pipe of the pipeline. Each valve has a valve member supported for movement between an open position when the valve is open for passage of a fluid through the pipe, and a closed position when the valve is closed for preventing passage of the fluid through the valve. The device includes a buoyant member associated with the valve members for causing movement of the valve members to the closed positions upon ingress of water to the buoyant member. The valve members are moved to the closed positions in respective upstream and downstream directions of passage of the fluid through the pipe.

A gas export assembly is provided including a gas production facility adapted to generate pressurized gas for export to a remote facility through a pipeline; a determining an upper humidity threshold for the export gas in the pipeline; a determining, on the basis of the upper humidity threshold, a pipeline inlet humidity for the export gas, which pipeline inlet humidity is lower than the upper humidity threshold; and a regulator stage adapted to adjust the humidity of the export gas to the pipeline inlet humidity.

The embodiments of the present disclosure provide a safety monitoring method and a safety monitoring Internet of Things system of pipe network reliability degree based on intelligent gas, wherein the method is executed by an intelligent gas pipe network safety management based on the safety monitoring Internet of Things system of pipe network reliability degree, including: obtaining reliability degree influence feature of a pipe network node; and the reliability degree influence feature include at least one of intrinsic features, and extrinsic features; determining reliability degree of the pipe network node based on the reliability degree influence feature; and determining a monitoring scheme based on the reliability degree of the pipe network node. The monitoring scheme includes a key pipe network node to be monitored.

The embodiments of the present disclosure provide a method for safety management of a compressor in a smart gas pipeline network and an Internet of Things system thereof. The method is implemented based on a smart gas safety management platform of an Internet of Things system for safety management of a compressor in a smart gas pipeline network. The method comprises: obtaining sound data and a target vibration feature of a gas compressor, and determining a target sound feature based on the sound data; obtaining gas data and device data, and determining a standard sound feature and a standard vibration feature based on the gas data and the device data; and predicting whether there is a safety hazard in the gas compressor based on the target vibration feature and the standard vibration feature, or based on the target sound feature and the standard sound feature.

The pipeline protection system includes a plurality of modules and a central control unit. The modules are adapted to be disposed circumferentially around the pipeline and capable of communicating to each other and with the central control unit to generate a plurality of real time data related to the pipeline. The modules are retrofittable configuration that includes sub-modules. Each sub-module includes top and bottom protective casings, and at least one flexible composite layer disposed between the top and bottom protective casings. The flexible composite layer includes an electronic circuitry embedded thereon, and a plurality of sensors coupled to the electronic circuitry to monitor a plurality of parameters associated with the pipeline. The plurality of sensors is configured to generate various real time data, such as pipeline leakage, predict future leakage or failure, and detect any attempt to theft or tempering in the pipeline.