Representation, mining and analysis of unsafe behaviour based on pan-scene data

To describe the safety rules of various industrial process data and explore the characteristics of unsafe behaviour, the association rules of unsafe behaviour based on pan-scene were proposed in this study. First, based on the scene data theory, unsafe behaviour was described by eight dimensions (ti...

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Bibliographic Details
Published in:Journal of thermal analysis and calorimetry 2023-06, Vol.148 (11), p.5071-5087
Main Authors: Fan, Bingqian, Yao, Jianting, Lei, Dachen, Tong, Ruipeng
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Analytical Chemistry
Chemistry
Chemistry and Materials Science
Construction workers
Data mining
Dimensional analysis
Empirical analysis
Inorganic Chemistry
Measurement Science and Instrumentation
Physical Chemistry
Polymer Sciences
Risk levels
Safety and security measures
Safety regulations
Statistical analysis
Subway construction
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Summary:To describe the safety rules of various industrial process data and explore the characteristics of unsafe behaviour, the association rules of unsafe behaviour based on pan-scene were proposed in this study. First, based on the scene data theory, unsafe behaviour was described by eight dimensions (time, location, behavioural individual, unsafe action, behavioural attribute, behavioural trace, professional category and risk level) to achieve scene data description and structural transformation. Second, the Apriori algorithm was used to explore the distribution rules of unsafe behaviour dimensions and the interaction between different dimensions from two perspectives: single-dimensional statistical analysis and multidimensional association rule mining. Finally, through SPSS Modeler software, an empirical analysis of pan-scene data for subway construction was conducted, and the association rules between type of work, construction stage, working time and unsafe action were identified. Some strong association rules were produced by the association analysis. For example, during the 13:00–17:00 of the excavation floor stage, the most frequent unsafe action of machine operators is the irregular binding of lifting objects. This result could explain why some unsafe actions are prone to occur in different construction stages and working times for workers of different types, which can be controlled and managed in a targeted manner, thus reducing the possibility of accidents.
ISSN:1388-6150
1588-2926
DOI:10.1007/s10973-022-11655-3