An Internet of Things system for frost heave prevention treatment of a smart gas pipeline, wherein the Internet of Things system includes a smart gas user platform, a smart gas service platform, a smart gas pipeline network sensor network platform, a smart gas pipeline network safety management platform, and a smart gas pipeline network object platform, and the Internet of Things system is configured to:
- determine gas pressure change data of a target point based on gas transmission data of the target point and gas pipeline data of the target point;
- predict temperature change data of the target point through a temperature model based on the gas pressure change data of the target point, wherein the temperature change data of the target point includes gas temperature change data and soil temperature change data, and the temperature model is a machine learning model, wherein
- the temperature model at least includes a gas feature extraction layer, a first temperature layer, and a second temperature layer;
- an input of the gas feature extraction layer includes the gas transmission data of the target point and the gas pipeline data of the target point, and an output of the gas feature extraction layer includes the gas pressure change data of the target point;
- an input of the first temperature layer includes the gas pressure change data of the target point and the gas transmission data of the target point, and an output of the first temperature layer includes the gas temperature change data;
- and
- an input of the second temperature layer includes the gas temperature change data and the gas pipeline data of the target point, and an output of the second temperature layer includes the soil temperature change data;
- and
- predict, based on the temperature change data of the target point, the gas pipeline data of the target point, and the gas pressure change data of the target point, and in combination with environmental data of the target point, frost heave degree data of the target point.