巷道掘进人—机—环境系统评价及控制对策研究

发布时间：2018-09-18 13:28

【摘要】：在巷道掘进生产过程中,由于未知地质条件的变化,密集的生产作业,交叉作业多,人员相对集中,电气设备、设施多样,使其成为煤矿井下生产活动中最容易发生事故且造成较多人员伤亡的环节之一。对近几年的煤矿事故统计分析,发生在巷道掘进生产中的事故和死亡人数所占的比重都超过了 40%,在此背景下,研究巷道掘进生产中的安全问题是非常急迫的。本文从人机工程学的理论和思路出发,结合统计分析、安全系统工程理论、系统动力学理论,对巷道掘进生产系统的安全问题展开研究。首先,对巷道掘进生产中的六种典型事故进行系统分析,将事故原因归结为“人的因素”、“机的因素”、“环境的因素”,进而以巷道掘进人—机—环境系统为对象,对人、机、环境三大系统以及三大系统之间的关系进行分析。然后通过文献查阅、实地考察筛选巷道掘进人—机—环境评价指标,建立了巷道掘进人—机—环境系统评价指标体系:3个一级指标、8个二级指标、25个三级指标。根据建立指标的特点,选用层次分析法进行各级指标指标权重计算并建立多级模糊综合评价模型,选用加权平均型的模糊算子,对巷道掘进人—机—环境系统进行评价,确定系统的风险水平,并将建立的多级模糊综合评价模型应用到工程实例中。最后,分别从人、机、环境三个方面提出巷道掘进人—机—环境系统风险的控制对策,根据人、机、环境三大系统之间的相互作用关系,结合系统动力学建立巷道掘进人—机—环境系统风险控制对策干预模型,分别从人、机的角度分析各控制对策的有效性,再分别从人、机器设备中选出两个最优的对策,进行两两组合,对整个系统进行组合对策干预仿真,最后找出更为有效的组合对策,为提高巷道掘进的安全水平提供指导。
[Abstract]:In the process of roadway tunneling production, due to the changes of unknown geological conditions, intensive production operations, more cross-operation, relatively concentrated personnel, electrical equipment and facilities, it has become one of the most vulnerable links to accidents and casualties in coal mine production activities. Under this background, it is very urgent to study the safety problem in roadway tunneling production. Based on the theory and train of thought of ergonomics, combined with statistical analysis, safety system engineering theory, system dynamics theory, the roadway tunneling production system is studied in this paper. Firstly, six typical accidents in roadway tunneling production are systematically analyzed, and the causes of accidents are attributed to "human factor", "machine factor", "environment factor". Then, aiming at the man-machine-environment system of roadway tunneling, the three systems of human, machine, environment and the three systems are closed. Then, through literature review, on-the-spot investigation and screening of roadway tunneling man-machine-environment evaluation index, the evaluation index system of roadway tunneling man-machine-environment system is established: three first-level indicators, eight second-level indicators, 25 third-level indicators. According to the characteristics of the indicators, the AHP is selected to carry out the weights of indicators at all levels. The multi-level fuzzy comprehensive evaluation model is calculated and established. The weighted average fuzzy operator is selected to evaluate the man-machine-environment system of roadway tunneling, and the risk level of the system is determined. The multi-level fuzzy comprehensive evaluation model is applied to the engineering example. Based on the interaction among human, machine and environment systems, and combined with system dynamics, the risk control intervention model of man-machine-environment system in roadway tunneling is established. The effectiveness of each control strategy is analyzed from the point of view of human and machine respectively, and two of the most effective control strategies are selected from human and machine equipment. In order to improve the safety level of roadway tunneling, a combination of two groups of optimal countermeasures is carried out to simulate the whole system.
【学位授予单位】：山东科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD263.3

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