China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (10): 79-85.doi: 10.16265/j.cnki.issn1003-3033.2023.10.1924

• Safety engineering technology • Previous Articles     Next Articles

Causal analysis of construction safety accidents in hydropower projects based on unsupervised LDA

CHEN Shu1,2(), SUN Mengwen2, CHEN Yun1,2,**(), NIE Benwu2,3, LI Zhi4, LIU Wenzhuo5   

  1. 1 Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang Hubei 443002, China
    2 College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang Hubei 443002, China
    3 Jinshajiang Branch, China Energy Investment Corporation, Chengdu Sichuan 610000, China
    4 China Three Gorges Corporation, Wuhan Hubei 430010, China
    5 College of Economic and Management, China Three Gorges University, Yichang Hubei 443002, China
  • Received:2023-04-20 Revised:2023-07-25 Online:2023-11-24 Published:2024-04-29
  • Contact: CHEN Yun

Abstract:

To achieve the intelligent mining of causative factors in hydropower construction safety accident reports, 1 206 accident analysis reports were processed by using Jieba segmentation. Also, the TF-IDF (Term Frequency-Inverse Document Frequency) keyword processing algorithm for accident analysis text was proposed, which was used to determine word frequency weight and construct word vector of accident text. Furthermore, based on the TF-IDF features, the unsupervised LDA topic model was trained to extract accident topics and topic words. Finally, social network analysis was performed on the topic words to reveal the potential relationships among accidents elements and intelligently output the causes of hydropower engineering construction safety accidents. The results show that the LDA theme model can quickly dig out multiple accident data information effectively, and calculate five accident themes such as safety awareness, accident hazards and violation behaviors. Besides, the results of automatic cause analysis indicate that the most important causes of construction safety accidents in hydropower projects are violation of rules and regulations, failure to master safe operation techniques, material and equipment problems, violation of construction procedures and poor working environment. The behavior supervision of construction personnel should be strengthened, to improve the prevention ability of the main causes of accidents, which can effectively improve the safety control level of hydropower project construction.

Key words: ydropower engineering, construction safety accident, unsupervised latent Dirichlet allocation (LDA) topic model, accident causation, social network analysis, factor analysis