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

An Internet of things (IoT) system for managing and controlling a risk in a smart gas pipeline network by combining an ultrasonic flowmeter, comprising an object platform, a sensor network platform, a management platform, a service platform, and a user platform, wherein

• the object platform is configured to acquire distributed ultrasonic data for at least one moment, the distributed ultrasonic data includes ultrasonic data acquired by at least one ultrasonic flowmeter, and the at least one ultrasonic flowmeter is deployed at at least one detection position of the gas pipeline network;
• the sensor network platform is configured to transmit the distributed ultrasonic data to the management platform;
• the management platform is configured to:
• determine a gas feature stability based on distributed ultrasonic data for at least one moment in a first preset time period;
• determine a first leakage risk based on the gas feature stability;
• process 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, wherein the low-volume leakage prediction model is a machine learning model, the first preset time period is a preset historical time period for monitoring a sudden leakage of gas, and the second preset time period is a preset historical time period for monitoring a stable low-volume leakage of gas;
• perform a weighted summation on the at least one candidate second leakage risk, and determine a second leakage risk of the at least one preset point;
• a weight corresponding to each candidate second leakage risk being related to a difference between a detection position distribution corresponding to the each candidate second leakage risk and a preferred detection position distribution, wherein
• the first leakage risk refers to a risk and a risk probability related to the sudden leakage of gas, and the first leakage risk is determined by the management platform based on the gas feature stability calculated from distributed ultrasonic data in the first preset time period;
• the second leakage risk refers to a risk and a risk probability related to a stable low-volume leakage of gas;
• the preferred detection position distribution refers to a distribution of preferred detection positions determined by the management platform based on a gas transportation feature of a gas pipeline of a gas pipeline of the gas pipeline network, and the preferred detection position distribution corresponds to a largest prediction accuracy rate of the gas leakage risk:
• the detection position distribution refers to a distribution related to a plurality of detection positions randomly generated by the management platform;
• and
• the preferred detection position distribution includes preferred detection positions of one or more ultrasonic flowmeters;
• and
• generate warning information based on the second leakage risk;
• the service platform is configured to send the warning information to the user platform;
• and
• the user platform is configured to display the warning information to a user.