Risk Evaluation of Unsafe Behavior of Wind Power Operation Personnel Based on FOA-BP
CHANG Dingyi1,2, SHI Juan1, QU Lili3, HE Zichun4, ZHANG Yinlong4, ZHENG Peng4
1. School of Management,Tianjin University of Technology, Tianjin 300384,China; 2. School of Sports Economics and Management, Tianjin University of Sport,Tianjin 301617,China; 3. Xi'an Thermal Power Research Institute Co, Ltd, Xi'an 710054,China; 4. Huadian Electric Power Research Institute Co, Ltd, Hangzhou 310030,China
Abstract：In order to evaluate the risk of unsafe behavior of wind power operation and maintenance personnel and reduce the occurrence of behavioral safety accidents. On the basis of determining the set of risk factors of unsafe behavior, the risk evaluation index system of unsafe behavior is constructed. The weight and threshold of BP neural network were adjusted by fruit fly optimization algorithm, and an unsafe behavior risk assessment model based on FOA-BP was established. Taking a wind farm as an example to collect data, test the model, realize the risk evaluation of unsafe behavior, and calculate the weight of risk evaluation index. This model has good predictive performance and can evaluate the risk of unsafe behavior. Enterprises can develop targeted prevention and control measures according to the evaluation index, index weight value and risk level.
常丁懿, 石娟, 瞿丽莉, 何子春, 张银龙, 郑鹏. 基于FOA-BP的风电运维人员不安全行为风险评价[J]. 复杂系统与复杂性科学, 2024, 21(1): 119-125.
CHANG Dingyi, SHI Juan, QU Lili, HE Zichun, ZHANG Yinlong, ZHENG Peng. Risk Evaluation of Unsafe Behavior of Wind Power Operation Personnel Based on FOA-BP[J]. Complex Systems and Complexity Science, 2024, 21(1): 119-125.
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