Method and device for evaluating industrial production state and storage medium

By preprocessing and evaluating high-frequency electricity consumption data in industrial production, combined with industry-related networks and SVM models, the problem of difficulty in evaluating industrial production status in the existing technology is solved, and efficient and accurate industrial production status evaluation is achieved.

CN119647785APending Publication Date: 2025-03-18FUDAN UNIVERSITY
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Patent Information

Application Number
CN202411807886.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The prior art is difficult to evaluate industrial production conditions efficiently and accurately, especially when taking into account the mutual influence between industries.

Method used

By obtaining and preprocessing high-frequency electricity consumption data from various industries and regions, conducting industry importance assessments and electricity consumption prosperity assessments, and combining the two to obtain the results of the industry production status assessment. Specific steps include data standardization, sliding window division, industry correlation network construction, Granger causality testing and cross-correlation coefficient calculation, and the use of the support vector machine SVM model for power consumption ranking prediction.

Benefits of technology

It achieves an efficient and accurate assessment of industrial production status, takes into account the mutual influence between different industries, can efficiently display the production situation of each industry, and improves the timeliness and accuracy of the assessment.

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Abstract

The invention discloses a method and device for evaluating an industrial production state and a storage medium. The method comprises the following steps: acquiring and preprocessing high-frequency power utilization data of each industry and each region in industrial production; for the preprocessed high-frequency power consumption data, on one hand, industry importance evaluation is performed to obtain industry importance, and the industry development potential is evaluated; and on the other hand, the power utilization expansion probability is obtained by evaluating the industry power utilization condition, so that the relative change trend of the industry power utilization scale is known, the industry power utilization condition degree is investigated, the industry index system is enriched, and the production condition of each industry is displayed efficiently and efficiently. Meanwhile, the industry importance and the power utilization expansion probability are integrated to obtain an industry production state evaluation result. The mutual influence among different industries is considered, and the industrial production state can be efficiently and accurately evaluated.
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