Methods for smart gas pipeline cleaning management for safety management and internet of things systems thereof

An Internet of Things system of smart gas pipeline cleaning management for safety management, comprising:

• a smart gas user platform, a smart gas service platform, a smart gas equipment management platform, a smart gas sensing network platform, and a smart gas object platform, wherein
• the smart gas object platform is used to obtain operation feature of at least one gas pipeline and inspection data of the at least one gas pipeline;
• the smart gas sensing network platform is used to transmit the operation feature of the at least one gas pipeline and the inspection data of the at least one gas pipeline to the smart gas equipment management platform;
• the smart gas equipment management platform is used to:
• determine an area to be cleaned and an area feature of the area to be cleaned based on the operation feature of the at least one gas pipeline and the inspection data of the at least one gas pipeline;
• determine a pipeline cleaning solution based on the area feature of the area to be cleaned;
• and
• evaluate a pipeline cleaning effect of the pipeline cleaning solution based on an implementation of the pipeline cleaning solution;
• wherein to determine a pipeline cleaning solution based on the area feature of the area to be cleaned, the smart gas equipment management platform is further used to:
• determine at least one joint area and a joint area feature of each of the at least one joint area through merging one or more gas pipelines contained in the area to be cleaned based on a preset method;
• and
• determine a target pipeline cleaning solution of the at least one joint area based on the joint area feature of the at least one joint area;
• wherein to determine a target pipeline cleaning solution of the at least one joint area based on the joint area feature of the at least one joint area, the smart gas equipment management platform is further used to:
• generate at least one candidate pipeline cleaning solution based on the joint area feature of the at least one joint area;
• determine a pipeline cleaning effect of each of the at least one candidate pipeline cleaning solution through processing each of the at least one candidate pipeline cleaning solution and the joint area feature of the joint area based on a pipeline cleaning effect prediction model;
• and
• determine the target pipeline cleaning solution of the at least one joint area based on the pipeline cleaning effect of each of the at least one candidate pipeline cleaning solution;
• wherein
• the pipeline cleaning effect prediction model includes a future feature prediction layer and a pipeline cleaning effect prediction laver, the future feature prediction laver and the pipeline cleaning effect prediction layer are obtained by joint training based on training samples and labels, wherein the training samples include a sample historical cleanliness sequence, a joint area feature of a sample joint area, and a sample pipeline cleaning solution, the joint area feature of the sample joint area includes a sample cleanliness at a current moment and a sample pipeline feature, and the sample pipeline cleaning solution includes sample pipeline cleaning time and other sample parameters, and the labels include a sample pipeline cleaning effect, the joint training including:
• inputting the sample historical cleanliness sequence, the sample cleanliness at the current moment, and the sample pipeline feature, and the sample pipeline cleaning time into an initial future feature prediction layer and obtaining cleanliness at a future moment output from the initial future feature prediction layer;
• inputting the cleanliness at the future moment and the other sample parameters into an initial pipeline cleaning effect prediction layer and obtaining the pipeline cleaning effect output from the initial pipeline cleaning effect prediction layer:
• constructing a loss function based on the sample pipeline cleaning effect and the pipeline cleaning effect output from the initial pipeline cleaning effect prediction layer;
• updating parameters of the initial future feature prediction layer and the initial pipeline cleaning effect prediction layer simultaneously;
• and
• obtaining the future feature prediction laver and the pipeline cleaning effect prediction layer;
• the smart gas service platform is used to transmit the pipeline cleaning solution and the pipeline cleaning effect of the pipeline cleaning solution to the smart gas user platform.