| CPC F17D 5/005 (2013.01) | 7 Claims |
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1. A safety monitoring method of intelligent gas pipe network reliability degree, executed by an intelligent gas pipe network safety management platform of a safety monitoring Internet of Things system of pipe network reliability degree, comprising:
obtaining a reliability degree influence feature of a pipe network node from an intelligent gas pipe network sensor network platform, wherein the intelligent gas pipe network sensor network platform includes an intelligent gas pipe network maintenance engineering sensor network sub-platform, wherein the reliability degree influence feature includes at least one of an intrinsic feature, or an extrinsic feature; the intrinsic feature includes a pipe network feature, an operation feature, and a maintenance feature, and the extrinsic feature includes a climate feature and a construction feature; wherein the operation feature includes rated operation parameters of a gas pipe network and actual operation parameters, the rated operation parameters are obtained from the storage device or a database, and the actual operation parameters are obtained through sensors; wherein the climate feature is obtained from sensors deployed in environment surrounding the gas pipe network;
determining reliability degree of the pipe network node based on the reliability degree influence feature;
determining a monitoring scheme based on the reliability degree of the pipe network node, wherein the monitoring scheme includes a key pipe network node to be monitored and a data collection accuracy, wherein the data collection accuracy refers to a fineness of collected data; and
sending the monitoring scheme and pipe network risk reminder information to a supervision user sub-platform in an intelligent gas user platform based on an intelligent gas service platform, wherein the intelligent gas user platform is configured as a terminal device, and a supervision user obtains the monitoring scheme by the terminal device; wherein
the intelligent gas service platform is further configured to receive query instructions sent by the intelligent gas user platform; and
the intelligent gas pipe network maintenance engineering sensor network sub-platform is configured to send remote scheduling management information to the intelligent gas pipe network maintenance engineering object sub-platform in an intelligent gas pipe network, and receive execution feedback from the intelligent gas pipe network maintenance engineering object sub-platform;
wherein the reliability degree includes an intrinsic reliability degree and an extrinsic reliability degree; and the determining the reliability degree of the pipe network node based on the reliability degree influence feature includes:
determining the intrinsic reliability degree of the pipe network node based on the intrinsic feature of the pipe network node;
classifying the pipe network node into a cluster in an instance set of incidents due to the extrinsic feature based on the extrinsic feature of the pipe network node, wherein the cluster is determined based on a preset clustering algorithm, wherein the preset clustering algorithm is executed by the intelligent gas pipe network safety management platform, wherein the intelligent gas pipe network safety management platform refers to a platform that arranges and coordinates connection and collaboration between a plurality of functional platforms, converges all information of the Internet of Things, and provides functions of perception management and control management for the safety monitoring Internet of Things system;
determining the extrinsic reliability degree of the pipe network node based on a weighted summation of extrinsic reliability degrees of historical instances in the cluster, wherein a weight of the weighted summation is positively related to a historical data collection accuracy corresponding to the historical instances; and
by determining a probability of occurring a construction accident as a decreasing factor, obtaining a decreased extrinsic reliability feature of the pipe network node by decreasing the extrinsic reliability feature of the pipe network node, wherein the probability of occurring the construction incident is determined based on an overlapping of the construction feature with an anomalous term in a set of the anomalous terms, the anomalous term is a feature term that is constructed from features that often occur simultaneously when the construction incident occurs.
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