Method and smart gas internet of things (IoT) system for determining abnormity of ultrasonic metering device and remote adjustment of ultrasonic metering device

An Internet of Things (IoT) system for determining abnormality of an ultrasonic metering device and remote adjustment of the ultrasonic metering device, wherein the IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensing network platform, and a smart gas object platform;

• the smart gas user platform includes a plurality of smart gas user sub-platforms;
• the smart gas service platform includes a plurality of smart gas service sub-platforms;
• the smart gas device management platform includes a plurality of smart gas device management sub-platforms and a smart gas data center, the smart gas device management platform being configured to transmit an adjustment instruction to the smart gas sensing network platform via the smart gas data center;
• the smart gas sensing network platform is configured to interact with the smart gas data center and the smart gas object platform and send the adjustment instruction to the smart gas object platform;
• the smart gas object platform is configured to obtain metering data of at least one ultrasonic metering device;
• the smart gas device management platform is configured to:
• determine any one of the at least one ultrasonic metering device as a current metering device;
• determine an accuracy of the current metering device through verifying the current metering device based on metering data of the current metering device and metering data of a related metering device, wherein the related metering device includes at least one of an upper metering device, a lower metering device, and a parallel metering device of the current metering device;
• and
• determine a target metering device based on the accuracy of at least one current metering device corresponding to the at least one ultrasonic metering device, wherein an accuracy of the target metering device is lower than an accuracy threshold;
• determine a plurality of historical accuracies of the target metering device based on the historical metering data of the target metering device;
• determine variation parameters of the plurality of historical accuracies, wherein the variation parameters include a magnitude and a direction of changes between adjacent historical accuracies, and a count of times of the historical accuracies below the accuracy threshold;
• determine an abnormality type of the target metering device based on the variation parameters and a current accuracy of the target metering device;
• and
• determine a data upload frequency instruction based on the abnormality type and send the data upload frequency instruction to the target metering device.