| CPC F17D 5/005 (2013.01) [B25J 9/1679 (2013.01); G06Q 50/26 (2013.01); G16Y 10/35 (2020.01); G16Y 40/10 (2020.01); G16Y 40/50 (2020.01)] | 8 Claims |
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1. A method for safe maintenance of an underground pipeline corridor based on smart gas regulatory Internet of Things (IoT), wherein the method is executed by a gas company management platform of a system for safe maintenance of the underground pipeline corridor based on the smart gas regulatory IoT, the method comprises:
obtaining, through a data storage center, an inspection region of an underground pipeline corridor, region position data, region information data, and a historical inspection record corresponding to the inspection region, the region information data including a size, an area, and a spatial shape of the inspection region;
obtaining, from a gas equipment object platform, environmental monitoring data, image data, and gas monitoring data of the inspection region via a gas company sensor network platform;
obtaining, through a government regulatory management platform, population data;
determining a safety factor for the inspection region based on the environmental monitoring data, the image data, the gas monitoring data, and the region position data;
determining, based on the safety factor, a mandatory machine inspection region in the inspection region;
determining a region inspection type for a remaining region in the inspection region based on the region information data, the historical inspection record, and the population data, the region inspection type including a robotic inspection and a manual inspection; wherein
the determining the region inspection type for the remaining region in the inspection region based on the region information data, the historical inspection record, and the population data includes:
determining a region feature based on the region information data and the image data through a feature extraction layer of an inspection evaluation model, the inspection evaluation model including the feature extraction layer and an inspection evaluation layer, and the inspection evaluation model being a machine learning model;
determining an inspection evaluation result based on the region feature, the historical inspection record, pipeline distribution data, and regional equipment data through the inspection evaluation layer; and
determining the region inspection type based on the inspection evaluation result; wherein
the inspection evaluation result includes a human inspection evaluation result and a machine inspection evaluation result, the method further includes:
in response to determining that the human inspection evaluation result and the machine inspection evaluation result satisfy a preset discrepancy condition, determining that the region inspection type is the robotic inspection, the preset discrepancy condition being determined based on the safety factor;
generating regional planning data based on the mandatory machine inspection region and the region inspection type of the remaining region;
determining a target pipeline corridor region and an inspection instruction based on the regional planning data, and sending the target pipeline corridor region and the inspection instruction to an inspection robot; and
determining, based on the safety factor and/or a regional importance degree of the inspection region, a monitoring frequency of an environmental monitoring device and a supervisory equipment in the inspection region through a preset algorithm, and sending a control instruction corresponding to the monitoring frequency through the gas company sensor network platform to the gas equipment object platform, wherein the gas equipment object platform adjusts the monitoring frequency based on the control instruction.
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