Method and internet of things (iot) system for adjusting pressures of smart gas pipeline networks

A method for adjusting a pressure of a smart gas pipeline network executed by a smart gas device management platform of an Internet of Things (IoT) system for adjusting a pressure of a smart gas pipeline network, wherein the IoT system includes a smart gas user platform, a smart gas service platform, the smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform, the smart gas object platform is configured to obtain gas delivery parameters and gas data, and upload the gas delivery parameters and the gas data to a smart gas data center of the smart gas device management platform through the smart gas sensor network platform, and

• the method comprises:
• obtaining gas delivery parameters of a preset point in a gas pipeline branch;
• obtaining gas data corresponding to the gas pipeline branch, the gas data including at least a total amount of gas supply and a total amount of gas consumption;
• determining an estimated value of a gas loss rate of the gas pipeline branch based on the total amount of gas supply and the total amount of gas consumption;
• determining a confidence level of the estimated value based on the gas data and the gas delivery parameters;
• in response to the confidence level satisfying an update condition, updating the preset point to determine an update point;
• determining an update confidence level through a first prediction model based on the update point, the first prediction model being a machine learning model and being obtained based on a training of an initial feature extraction layer and an initial confidence level prediction layer;
• determining a composite confidence level of the estimated value based on at least one of the confidence level or the update confidence level through a weighted average;
• determining an adjustment factor based on the composite confidence level;
• determining the gas loss rate based on the estimated value and the adjustment factor, and sending the gas loss rate to the smart gas user platform through the smart gas service platform;
• and
• in response to the gas loss rate satisfying a first predetermined condition, determining a target operating parameter, and adjusting a pressure of a gas network based on the target operating parameter.