| CPC G06Q 10/06316 (2013.01) [G06N 5/022 (2013.01)] | 12 Claims |
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1. A management method for inspection route based on a gas Geographic Information System (GIS), wherein the method is executed by a smart gas safety management platform of an Internet of Things system for managing inspection route based on the gas GIS, the Internet of Things system further including a smart gas user platform, a smart gas service platform, a smart gas sensor network platform, and a smart gas object platform that communicating with each other; the smart gas user platform being configured to a terminal equipment, the smart gas sensor network platform being configured to communication network and gateway, and the smart gas object platform including gas pipe network equipment, monitoring equipment and inspection equipment, comprising:
obtaining, through the smart gas safety management platform, a satellite positioning information of an inspector based on an inspection device; in response to the satellite positioning information satisfying a preset signal condition, determining a reference location of the inspector based on the satellite positioning information; determining track information of the inspector based on an correspondence between the reference location of the inspector and coordinate location on gas pipeline network and station map, wherein the gas pipeline network and station map is obtained based on the gas GIS; wherein the location data is obtained based on the inspection device, the location data including the at least one of satellite positioning information, motion information, or orientation information of the inspector;
in response to the track information satisfying a preset requirement,
determining, through the smart gas safety management platform, a recommended inspection route based on the track information and gas monitoring data, and prompting the recommended inspection route through a display screen based on a first display parameter, including:
obtaining inspection branching route information based on a content of an inspection task, wherein the content of the inspection task includes the at least one inspection branching route connected with an inspection main route;
determining a gas monitoring data sequence based on the gas monitoring data; determining an abnormality probability of the at least one inspection branching route according to the gas monitoring data sequence and the inspection branching route information through an abnormality prediction model, wherein the abnormality prediction model is a machine learning model;
wherein the abnormality prediction model includes a data processing layer and an abnormality prediction layer; the data processing layer is a deep neural network (DNN), an input of the data processing layer includes the gas monitoring data sequence, an output of the data processing layer includes a data feature corresponding to the gas monitoring data sequence; and the abnormality prediction layer is a recurrent neural network (RNN), an input of the abnormality prediction layer includes the data feature, a time interval between a current inspection time and a last inspection time, environmental information, and a working time of an inspection target, and an output of the abnormality prediction layer includes the abnormality probability;
determining an inspection priority of the at least one inspection branching route based on the abnormality probability; issuing instructions,
determining the recommended inspection route based on the inspection priority and the track information; and
in response to the track information not satisfying the preset requirement,
generating and issuing, through the smart gas safety management platform, instructions to control a display condition of the display screen based on a second display parameter.
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