Research on the classification and control of human factor characteristics of coal mine accidents based on K-Means clustering analysis

IF 2.5 2区工程技术 Q2 ENGINEERING, INDUSTRIAL

International Journal of Industrial Ergonomics Pub Date : 2023-09-01 DOI:10.1016/j.ergon.2023.103481

Dejun Miao , Wenhao Wang , Yueying Lv , Lu Liu , Kaixin Yao , Xiuhua Sui

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引用次数: 1

Abstract

The occurrence of coal mine accidents is closely related to human factors. Six-hundred eighty five coal mine accident reports were analyzed to identify risk factors for coal mine accidents. A total of 29 human factors were classified from three levels of supervision-management-production using the improved HFACS (Human Factors Analysis and Classification System) model, and the degree of clustering of human factors was verified by complex networks. Then, the 29 human factors were classified into four categories by K-Means clustering analysis, namely subjective corrective accident human factors, perceived corrective accident human factors, associated corrective accident human factors, and critical corrective accident human factors, and control suggestions were proposed for different categories. Finally, the interface of the supervision-management-production-based coal mine employee control system was designed in order to provide a solid theoretical basis for the subsequent system development and its application in specific coal mines. This study can provide new ideas for the study of human factors of coal mine accidents and help coal mine enterprises to strengthen the control of human factors.

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基于K-Means聚类分析的煤矿事故人因特征分类与控制研究

煤矿事故的发生与人为因素密切相关。对六百八十五份煤矿事故报告进行了分析，以确定煤矿事故的风险因素。利用改进的HFACS（人因分析与分类系统）模型，从监督管理生产的三个层面对29个人因进行了分类，并通过复杂网络验证了人因的聚类程度。然后，通过K-Means聚类分析，将29个人为因素分为四类，即主观纠正事故人为因素、感知纠正事故人为原因、关联纠正事故人为人为因素和关键纠正事故人为因子，并针对不同类别提出控制建议。最后，设计了基于监督管理生产的煤矿员工控制系统的接口，为后续系统的开发及其在具体煤矿的应用提供了坚实的理论基础。本研究可为煤矿事故的人为因素研究提供新的思路，有助于煤矿企业加强对人为因素的控制。

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来源期刊

International Journal of Industrial Ergonomics 工程技术-工程：工业

CiteScore

6.40

自引率

12.90%

发文量

110

审稿时长

56 days

期刊介绍： The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.