Big Data and Safety Management Methods: The Reduction Model of Hot Work Number
Title
Big Data and Safety Management Methods: The Reduction Model of Hot Work Number
Subject
Big data
Accident prevention
Data reduction
Data Analytics
Semantics
Description
The management of hot work is the key element of petroleum refinery safety management. A large amount of hot-work data has been accumulated, which is underexploited. Driving new insights using big data analytics is the trend. However, there have been few scientific studies on solving a specific problem using big data method in the field of safety management. Hence, the unstructured-data analysis of the hot-work permit-to-work text was investigated. The professional corpus in the hot-work field was constructed using word segmentation, stop list elimination, standardized process, and manual proofreading. All hot-work content collocates were manually grouped into semantic domains in the light of experts' experience. The data-driven reduction models of hot work number were proposed aiming at possible invalid hot work, long-time hot work, repetitive hot work and possible equipment defect. Based on the proposed reduction models, we mined the patterns of hot work and the unnecessary or high-risk hot work could be identified automatically. The result of the reduction model in training set indicated that the reduction models are reasonable. The reduction model 1, reduction model 2, reduction model 3, reduction model 4 could reduce the proportion of hot work number 5%, 3%, 4%, and 2%, respectively. Thus, the targeted measures could be put forward to optimize the safety management of hot work. 2019 IEEE.
140-143
Creator
Zhang, Guozhi
Wang, Yunlong
Mu, Bo
Wang, Tingchun
Publisher
4th IEEE International Conference on Big Data Analytics, ICBDA 2019, March 15, 2019 - March 18, 2019
Date
2019
Type
conferencePaper
Identifier
10.1109/ICBDA.2019.8713251
URL
http://dx.doi.org/10.1109/ICBDA.2019.8713251
Citation
Zhang, Guozhi et al., “Big Data and Safety Management Methods: The Reduction Model of Hot Work Number,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28878.