Analysis of railway signal power accident causes

doi:10.16265/j.cnki.issn1003-3033.2018.S1.010

Abstract

Abstract: In order to explore the cause of railway signal power accident,analyze the railway signal power accident,sort out the various factors leading to the signal power accident,the social network analysis method was applied to study the correlation of various factors. The key factors causing the accident of signal power supply were identified. The results show that the factors of human and material in the signal power supply accident are the direct cause, and the factors of environment and management are indirect causes and they influence each other. Weak safety awareness at all levels, lack of safety training, imperfect regulations, weak supervision and management of production safety and insufficient security investment are the key factors forthe signal power accidents. Bad safety environment is another important factor, it often happens that the construction units or individuals who operate illegally in the railway line damage the electric and signal cables.

Key words: signal power supply, accident, social network analysis(SNA) method, causes analyze, key factor

CLC Number:

X934

WANG Zhigang. Analysis of railway signal power accident causes[J]. China Safety Science Journal, 2018, 28(S1): 53-58.

References

[1] 中国铁路总公司. 铁路技术管理规程(普速铁路部分)[L]. 2014-07.
[2] 中华人民共和国铁道部. 铁路信号维护规则-技术标准[M]. 北京: 中国铁道出版社, 2012: 369-389.
[3] 薛瑞民. 铁路信号供电配合问题探讨[J]. 铁道通信信号, 2011, 47(8): 5-8.
XUE Ruimin. Discussion on power supply coordination of railway signals[J]. Railway Communication Signals, 2011, 47(8): 5-8.
[4] 赵祚义. 铁路信号电源屏存在的主要问题及产生原因[J]. 铁道通信信号, 2000,36(1): 4-6.
[5] 朱玉娟. 对一起铁路信号电源屏故障的分析[J]. 科技创新与生产力, 2014, 35(12): 69-70.
ZHU Yujuan. Analysis on the failure of a railway signal power screen[J]. Technological Innovation and Productivity, 2014, 35(12): 69-70.
[6] 梁青义. 信号智能电源屏常见故障及维修处理措施[J]. 电子世界, 2017, 39(11): 140.
[7] 马晨鹏, 王岚. 铁路信号双电源转换问题分析与对策[J]. 电源技术应用, 2009, 12(7): 38-40.
MA Chenpeng, WANG Lan. The analysis and solution for duplicate supply switching in railway communication system[J]. Power Technology Application, 2009, 12(7): 38-40.
[8] 张建雄, 冯占武, 张志明. 电源切换时轨道停电继电器报警原因分析[J]. 铁道通信信号, 2012, 48(4): 27.
[9] 中华人民共和国铁道部. 铁路交通事故调查处理规则[L]. 2007-09-01.
[10] 陈丹, 周文卫, 鲁小兵. 电气化铁路信号电源自动切换系统设计[J]. 电气化铁道, 2012, 23(1): 48-50.
CHEN Dan, ZHOU Wenwei, LU Xiaobing. Design of automatic switching system for electrified railway signal power[J]. Electrified Railway, 2012, 23(1): 48-50.
[11] 刘艳, 杨春丽. 有限空间作业事故特征及其原因分析[J]. 中国安全科学学报, 2017, 27(3): 141-146.
LIU Yan, YANG Chunli. Characteristics and causes of accident in confined spaces[J]. China Safety Science Journal, 2017, 27(3): 141-146.
[12] 黄攸立, 熊宇. 基于社会网络分析法的区域创新环境关键要素识别[J]. 北京邮电大学学报: 社会科学版, 2010, 12(2): 84-102.
HUANG Youli, XIONG Yu. Key element recognition of regional innovation environment based on social network analysis[J]. Journal of Beijing University of Posts and Telecommunications: Social Sciences Edition, 2010, 12(2): 84-102.

[1]	JI Xiaofeng, GENG Zhaoshi, PU Yongming, LU Mengyuan, QIN Wenwen. Influence of access roads on accident risks of mountainous two-lane highway passing through villages and towns segments [J]. China Safety Science Journal, 2022, 32(5): 155-162.
[2]	YANG Wenchen, ZHOU Yanning, TIAN Bijiang, GUO Fengxiang, HU Chengyu. Traffic accident severity prediction for secondary highways based on cluster analysis and SVM model [J]. China Safety Science Journal, 2022, 32(5): 163-169.
[3]	XIONG Xiaoxia, LIU Qingchao, SHEN Yujie, CAI Yingfeng, CHEN Long. Study on risk model of highway traffic accidents based on LSTM-BF [J]. China Safety Science Journal, 2022, 32(5): 170-176.
[4]	FANG Xue, XIE Chaowu, HUANG Rui. Formation mechanism of safety accidents in domestic drifting tourism based on GT [J]. China Safety Science Journal, 2022, 32(4): 23-29.
[5]	ZHAO Chufan, MI Chuanmin, ZHOU Zhipeng, FANG Jing. Key cause chains selection of electric personal accidents based on combinatorial association analysis model [J]. China Safety Science Journal, 2022, 32(4): 99-106.
[6]	TANG Fei, WANG Yungang, DU Bingcheng, KONG Xiangyan. Prediction of death toll in coal mine accidents based on optimized Markov model [J]. China Safety Science Journal, 2022, 32(4): 122-128.
[7]	CAO Yang. Research on classification and gradation of offshore oil accidents in China [J]. China Safety Science Journal, 2022, 32(3): 18-24.
[8]	LU Yi, WU Jiangle, SHAO Shuzhen, SHI Shiliang, ZHOU Rongyi, WANG Wei. Prediction model for road transport accidents of hazardous chemicals based on Bayesian network [J]. China Safety Science Journal, 2022, 32(3): 174-182.
[9]	LIANG Xinmiao, XIAO Lingyun, WANG Peng, DONG Honglei, QU Xianguo, LIU Chuan. Analysis on electric vehicle accidents based on data mining and site investigation [J]. China Safety Science Journal, 2022, 32(1): 180-187.
[10]	HAN Tianyuan, TIAN Shun, LYU Kaiguang, LI Xuan, ZHANG Jiatao, WEI Lang. Network analysis on causes for serious traffic accidents based on text mining [J]. China Safety Science Journal, 2021, 31(9): 150-156.
[11]	DAI Shiwei, LIU Xinxin, WAN Fei. Coupling analysis on disaster-inducing factors for large deformation accidents in soft rock tunnels [J]. China Safety Science Journal, 2021, 31(8): 119-124.
[12]	KUANG Yuqi, ZHAO Tingsheng, JIANG Ling,ZHANG Wei. Mining and analysis of association rules in tower crane accident cases [J]. China Safety Science Journal, 2021, 31(7): 137-142.
[13]	ZHU Gaogeng, CHEN Guoming, ZHANG Yufei, SHENG Jiliang, YUAN Guanying, LIU Jian. Research on evolution hierarchy of major accidents in offshore oil and gas industry in storm disasters [J]. China Safety Science Journal, 2021, 31(7): 172-179.
[14]	WANG Gang, SHANG Luozhen, LIU Xuelin, TANG Li, CHENG Qian. Study on causes of poisoning and asphyxiation in roadway opening by AHP-entropy weight method [J]. China Safety Science Journal, 2021, 31(7): 187-192.
[15]	ZHENG Xiazhong, ZHOU Jiali, SHAO Bo, YANG Ying, YANG Qiu, JIN Lianghai. Causal analysis of strike accident of tower crane operating object based on D-I [J]. China Safety Science Journal, 2021, 31(6): 83-89.