山西煤矿企业的行为安全评价研究
Study on Assessment of Safe Behaviors in Shanxi Coal Enterprises
-
摘要: 以山西某煤矿为研究对象,通过资料搜集整理、问卷调查和深度访谈方法辨识该企业人的不安全行为情况,并利用风险矩阵方法与模型评估方法,评价企业行为安全现状水平,得出的主要结果如下:共发现煤矿企业的不安全行为总数为842种,其中选煤厂、运输队和风井管理部3个部门的不安全行为数量最多,分别占该煤矿不安全行为总数的23.3%、9.7%和9.3%;风险指数为高的不安全行为总数为172种,占所有不安全行为总数的14.5%。其中,选煤厂、综掘一队和井下机电队3个部门高风险不安全行为的数量最多,维修钳工、矿山救护员、钻机司机3个工种高风险不安全行为的数量最多;对“遵章守纪可以杜绝事故”的认同度低、不能有效开展行为矫正活动和安全管理人员安全绩效考核欠规范等是该煤矿企业出现人的不安全行为的10项主要原因;并提出了减少企业不安全行为的4项具体措施。Abstract: Taking a coal mine in Shanxi Province as the target, unsafe behaviors were identified by data collection and arrangement, questionnaire and deep interview, and then the safety status levels were evaluated by risk-matrix method and model evaluation method. The main results were as follows: the 842 unsafe behaviors were found in this coal mine. Among them, the amount of coal preparation plant, belt team and airshaft management department were the most, with their ratios in the total amount of unsafe behaviors in this coal mine being as 23.3%, 9.7% and 9.3%, respectively; the species of high-risk-level unsafe behaviors were 172, taking up 14.5% of total amount of unsafe behaviors in this mine. Among which, the amount of high-risk-level unsafe behaviors in coal preparation plant, 1# comprehensive tunneling team and underground electromechanical team were the most, and the amount of high-risk-level unsafe behaviors for maintenance facility fitter, mine-rescue-member and rig drivers were the most; the low level of identification degree for “strict management and discipline could put an end to accident”, ineffective conduction of behavior-correction-activities, non-standardized safety performance examine and other reasons were the 10 main reasons for unsafe behaviors in this coal mine; four concrete measures were finally proposed for the reduction of unsafe behaviors in this coal mine.
-
Keywords:
- coal mine /
- safety management /
- unsafe behavior /
- risk evaluation /
- countermeasures
-
-
[1] 诸利一,吕文生,杨鹏,等.2007-2016年全国煤矿事故统计及发生规律研究[J].煤矿安全,2018,49(7):237-240. [2] 陈全,刘信君.基于HAZOP分析法的煤矿作业人员不安全行为识别研究与应用[J].煤矿安全,2019,50(6):297-300. [3] 朱艳娜,衡连伟,何刚,等.煤矿员工不安全行为影响因素作用效应分析[J].矿业安全与环保,2019,46(1):104-108. [4] 王家坤,王新华,王晨.基于工作满意度的煤矿员工不安全行为研究[J].中国安全科学学报,2018,28(11):14-20. [5] 安景文,赵嘉丽,王金鹤,等.基于ANP-MEA模型的煤矿工人不安全行为评价[J].煤矿安全,2018,49(8):303-306. [6] 杨文旺,邢浩然.煤矿爆破工不安全行为致因分析与控制[J].安全与环境学报,2018,18(3):983-987. [7] 黄辉,张雪.煤矿员工不安全行为研究综述[J].煤炭工程,2018,50(6):123-127. [8] 姚庆国,郭秀菊,张学睦.基于SEM理论的沟通满意度对煤矿矿工不安全行为的影响研究[J].安全与环境工程,2017,24(6):101-106. [9] 宋陈澄,陈培友.煤矿员工不安全行为的影响因素分析及对策研究[J].煤炭经济研究,2017,37(9):65. [10] 畅笑,王保民.基于灰色关联法的煤矿事故不安全行为风险评估[J].煤炭技术,2017,36(9):330-333. [11] 李爽,刘海洋,杨勇.基于矿工不安全行为的煤矿安全预测评价模型[J].煤矿安全,2017,48(8):242. [12] 张乐.补连塔煤矿不安全行为管控分析[J].煤炭工程,2016,48(3):113-116. [13] 李磊,田水承.煤矿工人不安全行为组合干预仿真研究[J].中国安全科学学报,2016,26(7):23-28. [14] 杨佳丽,栗继祖,冯国瑞,等.ABC分析法在煤矿意向性不安全行为管理中的应用[J].中国安全科学学报,2016,26(5):140-145. [15] 陈全,刘珍.改进JHA方法在煤矿带式输送机检修作业风险辨识中的应用[J].煤矿安全,2017,48(2):218. [16] 陈安,陈宁,武艳楠,等.现代应急管理技术与系统[M].北京:科学出版社,2011. -
期刊类型引用(4)
1. 李筱,许钧,张成旭,隋来伦,王在勇. 基于CWM-TOPSIS模型的金属矿山企业安全管控能力评价. 黄金科学技术. 2024(01): 100-108 . 百度学术
2. 石娟,常丁懿,郑鹏. 基于BP神经网络的建筑工人不安全行为预警模型. 中国安全科学学报. 2022(01): 27-33 . 百度学术
3. 周兆海,姚有利,程超男. 基于FAHP-GRA的煤矿粉尘综合安全评价体系研究. 山西大同大学学报(自然科学版). 2021(03): 82-86 . 百度学术
4. 赵梦光. 建筑工程施工现场人员不安全行为管理措施研究. 石油化工建设. 2020(S2): 1-3 . 百度学术
其他类型引用(6)
计量
- 文章访问数: 19
- HTML全文浏览量: 0
- PDF下载量: 0
- 被引次数: 10