A method for evaluating the operation efficiency of heating pipe networks based on data prediction

By constructing a multi-channel transformation kernel structure and graph propagation mechanism, the problems of dynamic load disturbance and multi-source data coupling in the heating network evaluation method are solved, the accurate evaluation of the heating network operation efficiency and flow prediction are achieved, and the system status identification and control capabilities are improved.

CN120524305BActive Publication Date: 2025-09-30JINING JIAXIANG PUBLIC HEATING CO LTD
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Patent Information

Application Number
CN202511021459.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-24
Publication Date
2025-09-30
Estimated Expiration
2045-07-24

AI Technical Summary

Technical Problem

Existing technologies are unable to reflect the dynamic load disturbances of the heating network and the system operation characteristics under the coupling of multi-source data in real time. The evaluation results are delayed and have limited accuracy. Especially in complex thermal topology and multi-condition switching scenarios, traditional evaluation methods are difficult to accurately identify the structural evolution characteristics between heating network nodes.

Method used

By constructing a multi-channel transformation kernel structure, introducing coupling attention factors and disturbance spectrum distribution projection factors, generating a structural transformation result matrix, calculating the graph adjacency matrix and constructing a disturbance-driven graph propagation mechanism, combining the kurtosis disturbance factor to identify structural behavior patterns, selecting an adapted predictor for node flow prediction, and finally comparing with actual data to analyze the operation efficiency of the heating pipeline network.

Benefits of technology

It has achieved accurate evaluation of the operating efficiency of the heating pipeline network, improved the accuracy of flow prediction at heating nodes and the ability to identify system status, and enhanced the accuracy of identifying and controlling complex disturbances.

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Abstract

The present invention relates to the technical field of heating pipe network operation efficiency evaluation, and discloses a heating pipe network operation efficiency evaluation method based on data prediction. The method includes: constructing a structural transformation result matrix, establishing a graph modeling structure, extracting disturbance features and constructing a graph propagation modulation mechanism, generating a structural disturbance response representation, identifying the structural behavior type, combining a basic predictor to complete node flow prediction, and comparing and analyzing the prediction results with the actual operation data to determine the degree of fit between the node operation status and the target heating demand, thereby outputting the operation efficiency evaluation results of the heating pipe network. By introducing a disturbance-driven graph propagation mechanism and a multi-mode structure recognition strategy, this method effectively improves the modeling capability and prediction accuracy of nonlinear structural responses in complex heating systems, and provides support for real-time evaluation of system operation status and efficiency management.
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