Patent ID: 11965765
Assignee: CHENGDU QINCHUAN IOT TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 5:
6. An Internet of Things (IoT) system for predicting gas transmission loss, comprising a gas user platform, a gas service platform, a gas equipment management platform, a gas sensor network platform, and a gas object platform; wherein
the gas user platform includes a plurality of gas user sub-platforms;
the gas service platform includes a plurality of gas service sub-platforms, and different gas service sub-platforms correspond to different gas user sub-platforms;
the gas equipment management platform includes a gas indoor equipment management sub-platform, a gas pipeline network equipment management sub-platform, and a gas data center;
the gas sensor network platform includes a gas indoor equipment sensor network sub-platform and a gas pipeline network equipment sensor network sub-platform;
the gas object platform includes a gas indoor equipment object sub-platform and a gas pipeline network equipment object sub-platform, the gas indoor equipment object sub-platform corresponds to the gas indoor equipment sensor network sub-platform, the gas pipeline network equipment object sub-platform corresponds to the gas pipeline network equipment sensor network sub-platform, and the gas object platform is configured to obtain gas flow data, gas pressure data, and ambient temperature data and upload the gas flow data, the gas pressure data, and the ambient temperature data to the gas data center of the gas equipment management platform based on the gas sensor network platform corresponding to the gas object platform;
the gas equipment management platform is configured to predict a gas metering error based on the ambient temperature data; determine whether gas loss is abnormal loss based on the gas flow data, the gas pressure data, and the gas metering error; in response to a determination that the gas loss is the abnormal loss, send a warning notice; and transmit the warning notice to the gas service platform based on the gas data center, wherein to determine whether gas loss is abnormal loss, the gas equipment management platform is further configured to:
determine a gas pressure change feature based on the gas pressure data;
determine a gas flow difference based on the gas flow data of a plurality of positions in combination with the gas pressure change feature and the gas metering error; and
determine whether the gas flow difference satisfies a preset condition, and in response to a determination that the gas flow difference does not satisfy the preset condition, determine that the gas loss is the abnormal loss; wherein the preset condition includes that the gas flow difference satisfies a gas flow difference range; and the gas flow difference range is related to at least one of a type and quality of gas or the gas pressure change feature, wherein to determine whether gas loss is abnormal loss, the gas equipment management platform is further configured to:
construct a graph structure by taking gas metering devices in gas pipeline network as nodes and gas pipelines as edges based on the gas flow data, the gas pressure change feature, the gas metering error, the gas flow difference, and the gas flow difference range;
determine a gas flow difference prediction value corresponding to each edge of the graph structure based on processing the graph structure by a flow model, the flow model being a graph neural networks (GNN) model;
update the gas flow difference corresponding to each edge in the graph structure; and
determine whether the gas flow difference prediction value corresponding to each edge in the graph structure satisfies the gas flow difference range;
the gas service platform is configured to upload the warning notice to the gas user platform.