Effect quantity decomposition and component proportion quantitative analysis method for water engineering safety monitoring data

By using statistical models, gray system models and support vector machine models in water engineering safety monitoring data, and combining various methods to calculate component proportions, the problem of difficult to prove the rationality and reliability of the analysis results in the existing technology is solved, and more efficient and objective analytical results are achieved.

CN119917924APending Publication Date: 2025-05-02CHANGJIANG SPATIAL INFORMATION TECH ENG CO LTD (WUHAN) +2
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Patent Information

Application Number
CN202411948227.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-05-02

AI Technical Summary

Technical Problem

In the current technology, in the effect size decomposition and component proportion analysis of water engineering safety monitoring data, the rationality and reliability of the results are difficult to prove and lack objectivity.

Method used

By determining the cause and quantity factors and their values ​​of water engineering safety monitoring data, the effect quantity decomposition is performed based on the statistical model, the gray system model and the support vector machine model, and the results are weighted and averaged. At the same time, various methods are used to calculate the component proportions, and the outliers are eliminated for mean processing.

Benefits of technology

The stability and reliability of effect size decomposition and component proportional analysis are improved, the rationality and objectivity of the results are enhanced, and the degree of influence of the cause quantity on the effect quantity can be more accurately reflected.

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Abstract

The invention provides a water engineering safety monitoring data effect quantity decomposition and component proportion quantitative analysis method, which comprises the following steps of: firstly, determining a reason quantity factor and a specific value of reason quantity data of water engineering safety monitoring data, and then respectively carrying out effect quantity decomposition based on a statistical model, a grey system model and a support vector machine model; the method comprises the following steps: calculating the component proportion of the three components, carrying out weighted average on effect quantity decomposition results obtained by the three components to obtain a final effect quantity decomposition result, then calculating the component proportion by adopting multiple methods according to the final effect quantity decomposition result, and finally, removing abnormal values in the component proportion, and carrying out mean value processing to obtain a final component proportion. The method can effectively reflect the influence degree of the reason quantity on the effect quantity, facilitates the evaluation of the operation state of the water engineering structure, can provide effective guidance for the safety monitoring data analysis of the water engineering, and is of great significance to the safety monitoring work of the water engineering.
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