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Research on early warning for prefabricated building workers' unsafe behaviors of working at height based on RF-SFLA-SVM
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Junwu WANG1, 2, Juanjuan HE2, Yinghui SONG2, Yipeng LIU1, 2, Zhao CHEN2, Jingyi GUO3, **
China Safety Science Journal | 2024, 34(3) : 1 - 8
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China Safety Science Journal | 2024, 34(3): 1-8
• Safety social science and safety management •
Research on early warning for prefabricated building workers' unsafe behaviors of working at height based on RF-SFLA-SVM
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Junwu WANG1, 2, Juanjuan HE2, Yinghui SONG2, Yipeng LIU1, 2, Zhao CHEN2, Jingyi GUO3, **
Affiliations
  • 1 Sanya Science and Education Innovation Park of Wuhan University of Technology，Sanya Hainan 572025，China
  • 2 School of Civil Engineering and Architecture，Wuhan University of Technology，Wuhan Hubei 430070，China
  • 3 School of Civil Engineering and Architecture，Hubei University of Arts and Science，Xiangyang Hubei 441053，China
Published: 2024-03-28 doi: 10.16265/j.cnki.issn1003-3033.2024.03.1288
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In order to effectively provide early warning of the occurrence trend or state of prefabricated building workers' unsafe behaviors (PBWUBs) of working at height，and to enhance the control of PBWUBs，RF-SFLA-SVM model was proposed to conduct an early warning study on workers' unsafe behaviors. Firstly，the SHEL (Software-Hardware-Environment-Liveware) model was used to analyze the factors influencing the unsafe behaviors of prefabricated building workers in danger of working at height. RF was used to determine the key warning indicators. Then SFLA was used to find the best parameters for SVM. Finally，the RF-SFLA-SVM model was used to predict and warn about the unsafe behavioral state of the prefabricated building workers working at height，and its performance was compared with other warning models. The results show that the RF-SFLA-SVM-based warning accuracy of PBWUBs of working at height was the highest，91.67%，which was a maximum improvement of 14% compared with the warning performance of other models. The research results can give a reference for the control and prevention of PBWUBs working at height.

random forest (RF)  /  shuffled frog leaping algorithm (SFLA)  /  support vector machine (SVM)  /  prefabricated buildings  /  working at height  /  unsafe behaviors
Junwu WANG, Juanjuan HE, Yinghui SONG, Yipeng LIU, Zhao CHEN, Jingyi GUO. Research on early warning for prefabricated building workers' unsafe behaviors of working at height based on RF-SFLA-SVM[J]. China Safety Science Journal, 2024 , 34 (3) : 1 -8 . DOI: 10.16265/j.cnki.issn1003-3033.2024.03.1288
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Year 2024 volume 34 Issue 3
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doi: 10.16265/j.cnki.issn1003-3033.2024.03.1288
  • Receive Date：2023-09-20
  • Online Date：2025-07-09
  • Published：2024-03-28
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  • Received：2023-09-20
  • Revised：2024-01-10
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Affiliations
    1 Sanya Science and Education Innovation Park of Wuhan University of Technology，Sanya Hainan 572025，China
    2 School of Civil Engineering and Architecture，Wuhan University of Technology，Wuhan Hubei 430070，China
    3 School of Civil Engineering and Architecture，Hubei University of Arts and Science，Xiangyang Hubei 441053，China
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