Study on shortcomings in rules for investigation and analysis of casualty accidents of enterprise staff and workers and suggestions for classification of accident causes

doi:10.16265/j.cnki.issn1003-3033.2018.04.002

Abstract

Abstract: In order to clearly identify the causes of the accident, this article mainly uses the thoughts of independence and exhaustion in Mutually Exclusive Collectively Exhaustive (MECE) analysis to test the scientificalness of the classification of the direct and indirect causes of accident in GB6442-1986, and finally draws the shortcomings in the classification of accident causes in GB6442-1986 from three perspectives: independence and exhaustion, scope of application and origin of accident-causing theory. After that, this article introduces the 24Model which divides the causes of accident into organization and individual to redefine unsafe acts and unsafe conditions, uses the new definition and classification to reclassify the items of direct and indirect causes in GB6442-1986.The results show that the new definitions and classifications contain all the causes mentioned in GB6442-1986 and can disperse and locate them at various levels or stages in 24Model.

Key words: rules for accident investigation and analysis, unsafe act, unsafe condition, classification of accident caused, 24Model

CLC Number:

X921

FU Gui, JIA Qingsong, XU Surui. Study on shortcomings in rules for investigation and analysis of casualty accidents of enterprise staff and workers and suggestions for classification of accident causes[J]. China Safety Science Journal, 2018, 28(4): 7-12.

References

[1] HEINRICH H W, PETERSON D, ROOS N. Industrial accident prevention[M]. New York: McGraw-Hill Book Company, 1980: 22-31.
[2] REASON J. Human error[M]. Cambridge: Cambridge University Press, 1990: 212-220.
[3] WIEGMANN D A, SHAPPELL S A. A human error approach to aviation accident analysis[M]. Aldershot:Ashgate Publishing Limited, 2003: 78-82.
[4] GB6442—1986,企业职工伤亡事故调查分析规则[S].
GB6442-1986,Rules for investigation and analysis of casualty accidents of enterprise staff and workers[S].
[5] BARBARA M. The minto pyramid principle[M]. London: Minto International, 1996: 82-88.
[6] GB6441—1986,企业职工伤亡事故分类标准[S].
GB6441-1986,Classification for casualty accidents of enterprise staff and workers[S].
[7] REASON J. Revisiting the Swiss cheese model of accident[M]. Brussels:Eurocontrol Experimental Centre, 2006: 17-18.
[8] 隋鹏程. 伤亡事故分析与预防原理[J]. 工业安全与环保, 1982(5): 1-8.
SUI Pengcheng. Accident analysis and prevention principle[J]. Industrial Safety and Environmental Protection, 1982(5): 1-8.
[9] MOTOHARU W. Safety assessment[J]. Journal of Advanced Science, 1993, 5(4): 1-4.
[10] 傅贵. 关于事故分类、事故原因的定义与分类[EB/OL]. [2017-05-30].http://blog.sciencenet.cn/home.php?mod=space&uid=603730&do=blog&id=1052432.
[11] WHITTAKER R H. New concepts of kingdoms or organisms. evolutionary relations are better represented by new classifications than by the traditional two kingdoms[J]. Science, 1969, 163(3863): 150-160.
[12] 傅贵,樊运晓,佟瑞鹏, 等. 通用事故原因分析方法(第4版)[J]. 事故预防学报,2016, 1(2): 7-12.
FU Gui, FAN Yunxiao, TONG Ruipeng,et al. A universal method for the causation analysis of accidents(Version 4.0)[J].Journal of Accident Prevention, 2016, 1(2): 7-12.
[13] 傅贵. 不安全动作是谁发出的？[EB/OL]. [2013-03-20].http://blog.sciencenet.cn/home.php?mod=space&uid=603730&do=blog&id=672320.

[1]	FANG Ming, ZHANG Yi, TAN Yue. Safety system and management model of subway construction under multi-factor coupling failure mode [J]. China Safety Science Journal, 2024, 34(5): 82-90.
[2]	SUN Shimei, ZHANG Jiayan. Research on influencing factors of subway station fire evacuation based on 24Model-D-ISM [J]. China Safety Science Journal, 2024, 34(4): 153-159.
[3]	JIANG Xin, ZHANG Tengfei, CHEN Jing, ZHAO Li, QIU Guokun, WANG Hui. Numerical study on safety cognition of cavern constructors from perspective of complex system [J]. China Safety Science Journal, 2024, 34(2): 22-30.
[4]	YUAN Chenhui, FU Gui, WU Zhirong, ZHAO Jinkun. Comparative study on definition of cause factors between 24Model and LCM [J]. China Safety Science Journal, 2024, 34(1): 27-34.
[5]	TONG Ruipeng, WANG Biao, SUN Ninghao, HU Xiangyang, WANG Qian. Theoretical construction and application of accident-cause-training method [J]. China Safety Science Journal, 2023, 33(8): 24-29.
[6]	SONG Wei, FU Gui. Comparative analysis study of STPA and 24Model [J]. China Safety Science Journal, 2023, 33(6): 1-10.
[7]	ZHANG Jiangshi, LI Yongtun, MAO Xiangning, HU Xinyue, WANG Ziyi. Study on classification of coal mine accident causes based on NLP [J]. China Safety Science Journal, 2023, 33(6): 20-26.
[8]	SUN Shimei, SUN Zuhang, FENG Ziyang, FU Gui. Behavioral causes analysis of construction accidents based on behavior-based accident causation 24Model theory [J]. China Safety Science Journal, 2023, 33(11): 30-37.
[9]	SHI Zhao, FU Gui, XIE Xuecai, TONG Wenqing, YUAN Chenhui, CHEN Yiran. Development and application of SCAP [J]. China Safety Science Journal, 2022, 32(8): 29-36.
[10]	DONG Longjun, ZHENG Rujian, DENG Sijia. Construction and application of "L-B" man-machine accident model [J]. China Safety Science Journal, 2022, 32(8): 1-8.
[11]	YUAN Chenhui, SHI Yaqian, MA Yong, ZHAO Yihao, FU Gui. Comparative study of systematic analysis on accident causes based on 24Model and accident investigation reports: taking Xiangshui explosion accident as an example [J]. China Safety Science Journal, 2022, 32(7): 48-55.
[12]	LI Jie, YI Hongyan, LI Naiwen. Investigation on research team and hot topics of accident causation in China [J]. China Safety Science Journal, 2022, 32(7): 20-27.
[13]	GUAN Cheng, ZHANG Zhizhen, LI Jing, WU Bin, YAN Qihang. Analysis on cause factors and evolution paths of fire accidents in buildings [J]. China Safety Science Journal, 2022, 32(4): 163-170.
[14]	ZHANG Xiaoliang, LIANG Fanjie, XU Surui. Risk assessment of urban gas accident unsafe behavior [J]. China Safety Science Journal, 2022, 32(12): 125-132.
[15]	GUO Haijun, TANG Hanlu, WANG Kai, YU Yingjie, WU Yuchen, XU Chao. Accident analysis and countermeasures of university hazardous chemical laboratory based on 24Model [J]. China Safety Science Journal, 2022, 32(11): 168-174.