Method and internet of things (iot) system for managing and controlling risk in smart gas pipeline network by combining ultrasonic flowmeter

Abstract

The embodiment of the present disclosure provides a method and an Internet of Things system for managing and controlling a risk in a smart gas pipeline network by combining an ultrasonic flowmeter. The method includes: acquiring distributed ultrasonic data for least at one moment, processing at least one group of distributed ultrasonic data with different detection position distributions at at least one moment in a second preset time period through a low-volume leakage prediction model to determine at least one candidate second leakage risk of at least one preset point of the gas pipeline network; performing a weighted summation on the at least one candidate second leakage risk, and determining a second leakage risk of the at least one preset point; and generating warning information based on the second leakage risk, and sending the warning information to the user platform through the service platform for display to a user.