Human Error Analysis for Hydraulic Engineering: Comprehensive System to Reveal Accident Evolution Process with Text Knowledge
Publication: Journal of Construction Engineering and Management
Volume 148, Issue 9
Abstract
Many human errors occur in hydraulic engineering construction, and these errors may lead to huge financial losses. A systematic and comprehensive accident analysis is required to reduce the probability of human error. Human error analysis is a lengthy and challenging process because the tendency is for accident data to be presented in text format. In addition, construction human error management requires an intelligent and efficient analysis system to ensure the timeliness of accident prevention and control. Thus, this study proposes a human error intelligent analysis system on the basis of text mining to automatically extract text knowledge and reveal the accident evolution process. Using hydraulic engineering construction text, a topic feature extraction model is built to extract words and improve the human factors analysis and classification system (HFACS) model. Then, a human error causation network that integrates text topic features, the improved HFACS model, and Bayesian theory is developed to intelligently identify human factors and quantify the human error evolution process. The analysis system proposed in this paper provides an effective way to mine and apply the experience-based knowledge available in hydraulic engineering construction text for the intelligent analysis and prediction of human error, thus improving the efficiency of human error management.
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Data Availability Statement
Data generated and analyzed during this study are available from the corresponding author by request.
Acknowledgments
This research was supported by the National Natural Science Foundation of China (Grant Nos. 52179139 and 52079073) and the Open Fund of Hubei Key Laboratory of Construction and Management in Hydropower Engineering (Grant No. 2020KSD05).
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Journal of Construction Engineering and Management
Volume 148 • Issue 9 • September 2022
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© 2022 American Society of Civil Engineers.
History
Received: Dec 14, 2021
Accepted: May 10, 2022
Published online: Jul 12, 2022
Published in print: Sep 1, 2022
Discussion open until: Dec 12, 2022
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