A Dynamic Assessment Method for On-site Construction Safety Risks in Power Engineering

By applying the Analytic Hierarchy Process (AHP) and the Entropy Weight Method in on-site construction of power engineering projects, a three-layer assessment model is established to evaluate the risk data of construction personnel, equipment, management, environment, and processes, and adjust their correlations. This solves the problem of error in risk assessment results in traditional assessment methods and achieves more accurate risk level assessment and dynamic early warning.

CN122089074APending Publication Date: 2026-05-26YUNFU LECHENG ELECTRIC POWER SERVICE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YUNFU LECHENG ELECTRIC POWER SERVICE CO LTD
Filing Date
2026-02-11
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Traditional on-site construction safety risk assessment methods for power engineering are unable to capture risk changes in real time and fail to effectively consider the interrelationships between multiple influencing factors, leading to errors or misjudgments in the assessment results and reducing the efficiency and accuracy of the assessment.

Method used

The Analytic Hierarchy Process (AHP) and the entropy weight method are used to evaluate the weights of multiple risk data at the construction site. By combining historical risk data and the changing trends of related influences, a three-layer evaluation model is established to conduct dynamic risk assessment and early warning by adjusting the risk data weights.

Benefits of technology

This improves the accuracy and credibility of risk assessment results, enabling a more accurate reflection of the true importance of various risk data after correlation, and providing more practically guiding early warning and response plans.

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Abstract

This invention discloses a dynamic assessment method for on-site construction safety risks in power engineering, belonging to the field of construction risk assessment technology. The method includes detecting risk data related to personnel, equipment, management, processes, and the environment to obtain first-stage target feature data; using the analytic hierarchy process (AHP) and entropy weight method to derive a first-stage base weight; adjusting some data based on historical data correlation to obtain second-stage target feature data; similarly using these two methods to obtain a second-stage base weight; and calculating the average of the two to obtain a preprocessed base weight. Next, combining historical accident data to obtain a correction coefficient, performing risk time-series evolution on the first-stage target feature data to obtain preprocessed risk trend prediction features; and based on the preprocessed base weight, preprocessed correction coefficient, and preprocessed risk trend prediction features, conducting risk assessment, early warning, and response plan push, obtaining early warning processing results, and performing feedback verification on the early warning processing results to output closed-loop feedback verification results. This invention can improve the efficiency of risk early warning.
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