|本期目录/Table of Contents|

[1]汪伟忠,卢明银,张振芳.煤矿作业人员系统风险知觉能力量化分析[J].中国安全生产科学技术,2015,11(8):152-156.[doi:10.11731/j.issn.1673-193x.2015.08.025]
　WANG Wei-zhong,LU Ming-yin,ZHANG Zhen-fang.Quantitative analysis on perceptual ability of systematic risk for coal miners[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(8):152-156.[doi:10.11731/j.issn.1673-193x.2015.08.025]
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煤矿作业人员系统风险知觉能力量化分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
11
期数:
2015年8期
页码:
152-156
栏目:
职业安全卫生管理与技术
出版日期:
2015-08-30

文章信息/Info

Title:
Quantitative analysis on perceptual ability of systematic risk for coal miners
作者:
汪伟忠1; 卢明银2; 张振芳3
(1.安徽科技学院 管理学院, 安徽 凤阳233100；2.中国矿业大学 矿业工程学院, 江苏 徐州221116；3.山西大学 经济与管理学院, 030006)
Author(s):
WANG Wei-zhong1;  LU Ming-yin2;  ZHANG Zhen-fang3
(1.School of Management, Anhui Science and Technology University, Fengyang Anhui 233100, China; 2.School of Mines, China University of Mining and Technology, Xuzhou Jiangsu 221116, China; 3. School of Economics and Management, Shanxi University, Taiyuan S
关键词:
煤矿安全; 系统风险; 知觉能力; 模糊信号检测理论; 事故
Keywords:
coal mine safety;  systematic risk;  perceptual ability;  fuzzy signal detection theory;  accident
分类号:
X923
DOI:
10.11731/j.issn.1673-193x.2015.08.025
文献标志码:
A
摘要:
为了定量分析煤矿作业人员风险知觉能力，采用Wickens模型分析风险知觉能力和人因失误作用关系，基于此，结合模糊痕迹理论，提出了基于三角模糊数的信号检测理论，从危险信号辨识敏感性(α)和反应偏好(β)两个指标对煤矿作业人员风险知觉能力进行评价。以某煤矿机电作业人员为例，设计调查问卷，并利用基于三角模糊数的信号检测理论对机电作业人员风险知觉能力进行分析。结果表明，所提出方法可用于评价煤矿井下作业系统中人员的风险知觉能力，能为提升煤矿作业人员风险知觉能力提供参考。
Abstract:
In order to quantitatively analyze the perceptual ability of risk for coal miners, the Wickens model was applied to analyze the relationship between perceptual ability of risk and human error action. Based on this point and combined with fuzzy-trace theory, a signal detection theory based on triangular fuzzy number was put forward, and the perceptual ability of risk for coal miners was evaluated by two parameters including the risk signal identification sensitivity α and the reaction preference β. Taking the electromechanical operation personnel in a coal mine as example, the questionnaire was designed, and the signal detection theory based on triangular fuzzy number was adopted to analyze the perceptual ability of risk for electromechanical operation personnel. The results showed that the proposed method can be used to evaluate the perceptual ability of risk for underground operation personnel in mine, and it can provide reference for improving the perceptual ability of risk for coal miners.

参考文献/References:

[1]张江石，傅贵，郭启明，等.不安全行为的预控方法[J].煤炭学报,2012, 37(2): 373-377 ZHANG Jiang-shi, FU Gui, GUO Qi-ming, et al. The pre-controlling measures on unsafe behavior[J]. Journal of China Coal Society, 2012, 37(2): 373-377
[2]Brewer N T, Weinstein N D, Cuite C L, et al. Risk perceptions and their relation to risk behavior[J].Annals of Behavioral Medicine. 2004, 27(2): 125-130
[3]郑东鹏. 驾驶人危险感知及影响因素研究[D]. 上海：上海交通大学, 2013
[4]邓小鹏，王盼盼，李启明，等. 基于FSDT的地铁盾构施工人员安全能力评价[J]. 解放军理工大学学报：自然科学版,2011, 12(3): 289-293 DENG Xiao-peng,WANG Pan-pan,LI Qi-ming,et al. Safety competence assessment on shield metro construction workers based on fuzzy signal detection theory [J].Journal of PLA University of Science and Technology(Natural Science Edition), 2011, 12(3): 289-293
[5]孟博，刘茂，李清水，等. 风险感知理论模型及影响因子分析[J].中国安全科学学报,2010,20(10): 59-66 MENG Bo, LIU Mao, LI Qing-shui, et al.The oretical model for risk perception and its factor analysis [J]. China Safety Science Journal, 2010,20(10): 59-66
[6]Chen C, Chen S. Measuring the effects of Safety Management System practices, morality leadership and self-efficacy on pilots’ safety behaviors: Safety motivation as a mediator[J]. Safety Science,2014, 62: 376-385
[7]Deery H A. Hazard and Risk Perception among Young Novice Drivers[J]. Journal of Safety Research,1999, 30(4): 225-236
[8]Lu Y, Hinze J, Li Q. Developing fuzzy signal detection theory for workers’ hazard perception measures on subway operations[J]. Safety Science,2011, 49(3): 491-497
[9]Horswill M S, Marrington S A, Mccullough C M, et al. The hazard perception ability of older drivers[J]. J Gerontol B Psychol Sci Soc Sci, 2008, 63(4): P212-P218
[10]姬鸣，杨仕云，赵小军，等.风险容忍对飞行员驾驶安全行为的影响：风险知觉和危险态度的作用[J].心理学报，2011, 43(11): 1308-1319 JI Ming,YANG Shi-yun, ZHAO Xiao-jun,et al.The role of risk perception and hazardous attitudes in the effects of risk tolerance on safety operation behaviors among airline pilots [J].Acta Psychologica Sinica, 2011, 43(11): 1308-1319
[11]成连华，李树刚，林海飞，等. 基于情景认知的煤矿瓦斯爆炸事故进程研究[J].煤矿安全,2010(9): 108-111 CHENG Lianhua, LI Shugang,LIN Haifei,et al. The accident process research of gas explosion based on situation cognition[J].Safety in Coal Mines, 2010(9): 108-111
[12]曾守锤，李其维. 模糊痕迹理论:对经典认知发展理论的挑战[J].心理科学,2004(2) :489-492 ZENG Shou-chui , LI Qi-wei. The Fuzzy-Trace theory: a challenge to classical cognitive developmental theories[J]. Psychological Science, 2004(2) :489-492
[13]门玉琢，于海波，王华，等.考虑驾驶员危险认知因素的山区弯路安全车速预测模型[J].机械设计与制造，2012(11): 255-257 MEN Yu-zhuo, YU Hai-bo, WANG Hua,et al. Study on prediction model of safety speed on curved sections in mountain area based on driver risk perception factor[J]. Machinery Design & Manufacture,2012(11): 255-257
[14]汪伟忠. 煤矿特种作业人员安全能力分析及优化配置[D].徐州：中国矿业大学,2014

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备注/Memo

备注/Memo:
教育部人文社会科学研究基金项目(08JA630083)；安徽科技学院人才引进项目(SRC201440)
更新日期/Last Update: 2015-09-06