| CPC G06Q 10/20 (2013.01) [G06Q 50/06 (2013.01); G16Y 10/35 (2020.01); G16Y 40/10 (2020.01)] | 11 Claims |
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1. A method for safety monitoring of pipeline operation status based on a smart gas Internet of Things (IoT), wherein the method is executed by a government safety supervision and management platform of a smart gas IoT system, wherein the smart gas IoT system includes the government safety supervision and management platform, a government safety supervision sensor network platform, a government safety supervision object platform, a gas company sensor network platform, a device object platform, a gas user service platform, a gas user platform, and a processor; and the processor interacts with a plurality of platforms included in the smart gas IoT system; the gas user platform is configured as a terminal device, the terminal device includes a mobile device, a tablet computer, and a laptop computer; and the method comprises:
obtaining operation data of a gas pipeline in a monitoring area and gas use data of a corresponding gas user from a gas company management platform through the government safety supervision sensor network platform, wherein the operation data includes a cumulative operation time and a maintenance time interval, and the gas use data includes a gas use type, a gas usage sequence, and a change trend of gas usage; wherein the gas use type of the gas user corresponding to the gas pipeline is obtained through the gas user platform; the gas usage sequence of the gas user corresponding to the gas pipeline and the change trend of gas usage are obtained through the gas user service platform;
obtaining candidate pipeline information from the gas company management platform through the government safety supervision sensor network platform, wherein the candidate pipeline information includes information related to at least one candidate pipeline, and the gas company management platform determines the candidate pipeline information based on the operation data and the gas use data; wherein
the gas company management platform determines the candidate pipeline information based on the operation data and the gas use data, including:
determining a gas use risk based on the gas use type and the change trend of gas usage, including:
querying, based on an anomaly of the gas use type and the gas usage, a reference gas risk corresponding to the anomaly of the gas use type and the gas usage in a preset risk table;
determining the obtained reference gas use risk as the gas use risk; wherein the preset risk table includes a plurality of groups of abnormalities of the gas use type and the gas usage, as well as the corresponding reference gas use risks; the preset risk table is set in advance; and the anomaly of the gas usage includes a gas usage anomaly and a normal gas usage;
comparing the change trend of gas usage with a historical change trend of gas usage;
in response to that the change trend of gas usage and the historical change trend of gas usage in a same period of time exceeds a dosage threshold, determining the anomaly of the gas usage to be the gas usage anomaly;
in response to that a difference between the change trend of gas usage and the historical change trend of gas usage in the same time period does not exceed the dosage threshold, determining the anomaly of gas usage to be the normal gas usage: wherein the historical change trend of gas usage is a change trend of gas usage over a historical time period;
extracting a number of maintenance times of the gas pipeline corresponding to the gas use type and the anomaly of the gas usage in the historical data; and
determining, based on a correspondence between the number of maintenance times of the gas pipeline and the gas use risk; wherein the correspondence includes the gas use risk being positively correlated to the number of maintenance times;
determining a pipeline impurity accumulation degree based on the gas usage sequence;
determining an operation stability index by weighted fusion based on the cumulative operation time and the maintenance time interval; wherein weights of the cumulative operation time and the maintenance time interval are correlated to a preset pipeline level and the gas use type; and the higher the preset pipeline level, the lower the weights of the cumulative operation time and the maintenance time interval;
determining a dynamic inspection level based on the gas use risk, the pipeline impurity accumulation degree, and the operation stability index, including:
constructing a gas operation map structure based on the gas use risk, the pipeline impurity accumulation degree, and the operation stability index; wherein the gas operation structure reflects an actual positional relationship of a monitoring device, a gas ancillary facility, and a gas user in the monitoring area; the gas ancillary facility includes a gas gate station, a gas regulator station; one monitoring area corresponds to one gas operation map structure; nodes of the gas operation map structure represent the monitoring device, the gas ancillary facility, and the gas user in the monitoring area; edges of the gas operation map structure indicate nodes configured with the gas pipelines between them; features of the edges include the gas use risk, the pipeline impurity accumulation degree, and the operation stability index; and the edge of the gas operation map structure is directed edge, with a direction of the directed edge indicating a direction of gas flow within the gas pipeline; and
determining the dynamic inspection level by a first prediction model based on the gas operation map structure, the first prediction model being a machine learning model; wherein the first prediction model is trained based on a great number of first training samples with first labels by a gradient descent process; the first training samples include sample gas operation map structures; the sample gas operation map structure includes a historical map determined based on historical data; the first label being a historical dynamic inspection level; and
determining, based on the dynamic inspection level and monitoring data corresponding to the gas pipeline, the candidate pipeline information; wherein the monitoring data includes at least one of a temperature, a pressure, and the gas flow within the gas pipeline, and the candidate pipeline refers to a gas pipeline to be evaluated for maintenance;
determining, based on the candidate pipeline information, target pipeline information, and sending the target pipeline information to the gas company management platform through the government safety supervision sensor network platform, wherein the target pipeline information includes a ranking result of at least one target pipeline;
generating, based on the target pipeline information, a maintenance instruction, and sequentially transmitting the maintenance instruction to the device object platform through the government safety supervision sensor network platform, the gas company management platform, and the gas company sensor network platform, wherein the maintenance instruction includes a monitoring adjustment instruction and/or a storage allocation instruction, and the monitoring adjustment instruction includes a plurality of target monitoring devices and adjustment parameters of the plurality of target monitoring devices, and the target monitoring device are monitoring devices on the at least one target pipeline, the storage allocation instruction includes an allocation ratio and a minimum allocation space, wherein the allocation ratio is a storage ratio of monitoring data for each of the at least one target pipeline in a storage unit, and the minimum allocation space is a minimum storage space required for the monitoring data of each of the at least one target pipeline in the storage unit;
sending the monitoring adjustment instruction to the plurality of target monitoring devices through the device object platform to control the plurality of target monitoring devices to operate according to the corresponding adjustment parameters; wherein the adjustment parameters include data collection frequencies and data upload frequencies of the monitoring devices; the target monitoring device collects and uploads data on the target pipeline in accordance with the corresponding adjustment parameters in the monitoring adjustment instruction; and
sending the storage allocation instruction to the storage unit through the device object platform to control the storage unit to delete outdated monitoring data and adjust the allocation ratio according to the allocation ratio and the minimum allocation space; wherein the storage unit adjusts a ratio and a size of the storage space for each target pipeline in accordance with the allocation ratio and the minimum allocation space and deletes the outdated monitoring data; and in response to an insufficient remaining storage spacing in the storage unit, determining the outdated monitoring data that needs to be deleted based on the minimum allocation space and generates the storage allocation instruction for deleting the outdated monitoring data for each of the minimum allocation space required for the monitoring data of the target pipeline, which meets the minimum allocation space required for the monitoring data of the each target pipeline.
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