| CPC F17D 5/02 (2013.01) [G01F 1/66 (2013.01); G01F 15/063 (2013.01)] | 8 Claims |
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5. An Internet of Things (IoT) system for remote control of an 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
send the adjustment instruction to 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 the adjustment instruction includes a metering parameter instruction, and the smart gas device management platform is further configured to:
in response to an abnormality type being a non-sporadic abnormality, obtain an error direction of the target metering device;
predict a suspicious abnormal parameter based on the error direction, the historical metering data, pipeline parameters, and current metering parameters of the target metering device; and
determine the metering parameter instruction of the target metering device based on the suspicious abnormal parameter;
the smart gas device management platform is further configured to:
construct a metering parameter analysis graph based on a gas pipeline network, wherein the metering parameter analysis graph includes a plurality of subgraphs, and nodes of the metering parameter analysis graph include the ultrasonic metering devices, and features of the nodes include models of the ultrasonic metering devices, the accuracy, the error direction, and the current metering parameters, the plurality of subgraphs having different current metering parameters, and edges of the metering parameter analysis graph represent gas pipelines between the ultrasonic metering devices, and features of the edges include pipeline lengths, gas density in the pipelines, gas pressure, and gas temperatures;
predict, based on the metering parameter analysis graph, abnormal probabilities of a plurality of current metering parameters through a parameter analysis model, the parameter analysis model being a machine learning model; and
determine the suspicious abnormal parameter based on the abnormal probabilities of the plurality of current metering parameters; and
the metering parameter instruction includes a probing parameter instruction and a target parameter instruction, wherein the smart gas device management platform is further configured to:
perform a probing adjustment on the target metering device based on the probing parameter instruction, wherein the probing parameter instruction performs only one probing adjustment on one suspicious abnormal parameter at a time; and
determine the target parameter instruction based on an adjustment effect of the target metering device.
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