| CPC H04L 67/12 (2013.01) [G16Y 10/35 (2020.01); G16Y 20/10 (2020.01); G16Y 20/30 (2020.01); G16Y 40/35 (2020.01)] | 6 Claims |
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1. A method for smart control of a gas pipeline network data collection terminal, wherein the method is executed by a smart gas device management platform of an Internet of Things (IoT) system, and the method comprises:
receiving, based on a preset transmission cycle, gas data collected by the gas pipeline network data collection terminal and environmental monitoring data collected by an environmental monitoring device, wherein the gas data includes gas pressure data, gas flow data, and gas temperature data, and the environmental monitoring data includes environmental temperature data, environmental visibility data, and environmental humidity data;
constructing a terminal layout diagram based on location data of the gas pipeline network data collection terminal, the gas data, and the environmental monitoring data, wherein the terminal layout diagram includes an edge and a node, the node corresponds to the gas pipeline network data collection terminal, and the edge corresponds a gas pipeline between gas pipeline network data collection terminals, a node feature of the node includes a location of the gas pipeline network data collection terminal, current gas data, historical gas data, current environmental monitoring data, historical environmental monitoring data, and an association degree between the gas pipeline network data collection terminal and other gas pipeline network data collection terminals, and the association degree is related to a distance between the gas pipeline network data collection terminals corresponding to two nodes in the terminal layout diagram and a weight coefficient, the weight coefficient being related to a positional relationship between the two nodes;
determining, based on the terminal layout diagram, an abnormal probability sequence by using an abnormality determination model, wherein the abnormality determination model is a machine learning model, and the abnormal probability sequence includes an abnormal probability of the node corresponding to the gas pipeline network data collection terminal;
in response to determining that the abnormal probability sequence does not meet a first preset condition, determining an abnormal gas pipeline network data collection terminal;
determining a first adjustment parameter based on the abnormal probability corresponding to the abnormal gas pipeline network data collection terminal;
sending the first adjustment parameter to one or more first associated gas pipeline network data collection terminals of the gas pipeline network data collection terminal, wherein the one or more first associated gas pipeline network data collection terminals of the gas pipeline network data collection terminal are one or more gas pipeline network data collection terminals whose association degree with the gas pipeline network data collection terminal is greater than an association threshold;
in response to determining that a second associated gas pipeline network data collection terminal is associated with two or more abnormal gas pipeline network data collection terminals, generating two or more first adjustment parameters based on the two or more abnormal gas pipeline network data collection terminals;
determining a first coefficient based on the association degree between the abnormal gas pipeline network data collection terminal and the second associated gas pipeline network data collection terminal corresponding to the abnormal gas pipeline network data collection terminal;
determining a first comprehensive adjustment parameter based on the first adjustment parameter and the first coefficient, wherein the first comprehensive adjustment parameter is related to the abnormal probability corresponding to the abnormal gas pipeline network data collection terminal;
sending the first adjustment parameter to the second associated gas pipeline network data collection terminal of the abnormal gas pipeline network data collection terminal;
predicting, based on the gas data and the environmental monitoring data, future environmental change data at a future time point for an environment in which the gas pipeline network data collection terminal is located;
in response to determining that the future environmental change data does not meet a second preset condition, generating a second adjustment parameter; and
sending the second adjustment parameter to the gas pipeline network data collection terminal.
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