Methods and internet of things (IoT) systems for monitoring reliability of smart gas pipeline network

An Internet of Things (IoT) system for monitoring reliability of a gas pipeline network comprising:

• a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas pipeline network device sensor network platform, and a smart gas pipeline network device object platform, wherein
• the smart gas pipeline network device object platform is configured to obtain a gas transportation feature of the gas pipeline network at a target moment;
• and transmit the gas transportation feature to the smart gas safety management platform through the smart gas pipeline network device sensor network platform, and the smart gas pipeline network device object platform is further configured as various types of gas devices and monitoring devices;
• the smart gas service platform is configured to send a monitoring plan received from the smart gas safety management platform to the smart gas user platform, the smart gas service platform includes a first processing device, the smart gas user platform is configured as a terminal device;
• and
• the smart gas safety management platform which includes a second processing device, is configured to:
• obtain a reliability sequence of the gas pipeline network, the reliability sequence including reliability of the gas pipeline network at a plurality of moments;
• and
• determine the monitoring plan based on the reliability sequence to control monitoring devices in a smart gas device object platform to obtain operation information of gas devices in the gas pipeline network in accordance with the monitoring plan, wherein the monitoring devices include at least one of a gas flow meter, a pressure sensor, and a temperature sensor, wherein
• determining the reliability of the gas pipeline network at each of the plurality of moments includes:
• obtaining a gas transportation feature of the gas pipeline network at a target moment through the gas flow meter, the pressure sensor and the temperature sensor in the smart gas device object platform;
• determining, based on the gas transportation feature, a degree of wear of a pipeline wall of a point to be measured through a degree of wear determination model, wherein the degree of wear determination model is a machine learning model, the gas pipeline network includes several points to be measured, and the gas transportation feature includes an upstream gas transportation feature of an upstream point of the point to be measured, a downstream gas transportation feature of a downstream point of the point to be measured, and gas composition information of the point to be measured, the degree of wear determination model includes a latent feature determination layer and a degree of wear determination layer, and the degree of wear determination model is obtained based on joint training with a transportation feature prediction model, wherein the transportation feature prediction model is configured to determine, based on the upstream gas transportation feature and the latent feature, the downstream gas transportation feature, and the transportation feature prediction model is a machine learning model, the latent feature includes a corresponding relation feature between transportation pressure information of the gas pipeline network, gas transmission flow rate information of a gas pipeline network device, gas transmission temperature information of the gas pipeline network device, and the gas composition information and the degree of wear of the pipeline wall of the point to be measured;
• determining, based on the degree of wear of the pipeline wall of the point to be measured, the reliability of the gas pipeline network at the target moment;
• and
• in response to determining that the reliability of the gas pipeline network is lower than a threshold, displaying warning information to a user through the terminal device.