Methods and internet of things (IoT) systems for monitoring smart gas pipeline networks based on ultrasonic flowmeters

An Internet of things (IoT) system for monitoring a smart gas pipeline network based on an ultrasonic flowmeter, comprising a smart gas object platform, a smart gas sensor network platform, a smart gas management platform, a smart gas service platform, and a smart gas user platform, wherein

• the smart gas object platform is configured to acquire distributed ultrasonic data for at least one moment, the distributed ultrasonic data includes ultrasonic data acquired by the ultrasonic flowmeter and the ultrasonic flowmeter being deployed at at least one detection position of the gas pipeline network;
• the distributed ultrasonic data is ultrasonic data of different detection positions of the gas pipeline network;
• the smart gas sensor network platform is configured to transmit the distributed ultrasonic data to the smart gas management platform;
• the smart gas management platform is configured to determine a leakage risk of at least one preset point of the gas pipeline network based on the distributed ultrasonic data and generate warning information based on the leakage risk, the leakage risk include a first leakage risk, and determining the first leakage risk includes:
• dividing, based on a preset sliding parameter, the distributed ultrasonic data for the at least one moment into at least one sliding interval set, and determining a gas feature sub-stability of each of the at least one sliding interval set, the preset sliding parameter being a parameter used to divide the distributed ultrasonic data for a plurality of moments into a plurality of groups of data, the sliding interval set being a set including a plurality of sliding intervals;
• determining a gas feature stability based on the gas feature sub-stability of the each of the at least one sliding interval set, the gas feature sub-stability being used to reflect a stability of data of the sliding interval set, the gas feature stability being used to reflect a gas feature stability at the plurality of moments;
• and
• determining the first leakage risk based on the gas feature stability, the first leakage risk being a risk and a risk probability related to a sudden leakage of gas;
• the smart gas service platform is configured to send the warning information to the smart gas user platform;
• and
• the smart gas user platform is configured to display the warning information to a user.