企业安全管理系统不安全行为抑制研究

发布时间：2018-10-10 10:19

【摘要】：随着经济和技术的发展,企业生产系统的层次结构以及信息交互的复杂程度不断提高,使生产安全变得难以预测和控制,各类安全事故频繁发生,严重影响了企业的正常发展以及企业员工和周边居民的人身安全。研究表明,安全事故发生的主要原因在于人的不安全行为。研究生产安全管理系统,抑制员工的不安全行为的涌现愈发重要。本文具体研究如下:首先,从企业管理者与员工的安全意识交互出发,在分析安全意识合作与竞争过程特征的基础上,确定企业员工安全意识交互的涵义,界定交互群体的范围。结合安全管理实践状况和计划行为理论,根据意识对行为的内在指导性,是行为的直接影响因素,提出了群体安全意识同化的问题。基于Lotka-Volterra生物竞争理论,构建了企业生产系统中人员之间的群体安全意识竞争的演化模型,并用netlogo仿真分析了管理者安全意识水平和安全意识竞争系数对员工群体安全意识水平的影响,从而得到了充分发挥管理者的带动作用,正确引导员工安全意识是可行的结论。其次,从复杂系统分析角度出发,为探索企业人因即个体不安全行为产生的根源和机理,研究了企业人员不安全意识的影响因子。在综合以往学者的研究成果,并收集大量相关理论和中外文献的基础上,归纳、整理、补充、完善了各类不安全人因以及因素之间的相互作用关系。通过图论展示了企业生产系统企业人员人因之间的耦合机制,并运用图论中的测度指标对各影响因素进行重要度排序,选取了重要度较高的因素。结合计划行为理论和提取到的关键因素,通过问卷调查结合回归分析完成了数学建模。最后运用netlogo软件模拟分析管理因素在企业生产中对员工群体安全意识发挥的效能,得出了管理者的安全监督和自身的安全意识同化和提高员工安全意识的效果最为显著的结论。最后在企业生产背景下,论述了利用可移动传感器覆盖技术构成企业生产安全监测网络,以辅助现场人为安全监督过程的可能性。提出了基于事故触发的双群无线传感器协作覆盖部署策略,即在单群传感器群执行集中覆盖事故区使得区域覆盖性大幅下降时,临近子群可协调缓解两子群分布区域的覆盖的不均匀性。在基础环境下,仿真演示了所提出部署方法的应用。仿真结果显示,这种部署思想能很好地避免某区域内子群陷入局部聚堆搜索从而忽略其他事故潜在区域的情况,使得监测事故发生时整体覆盖性能大大提高。
[Abstract]:With the development of economy and technology, the hierarchical structure of enterprise production system and the complexity of information exchange are increasing, which makes production safety difficult to predict and control, and various kinds of safety accidents occur frequently. Seriously affected the normal development of enterprises and the safety of employees and surrounding residents. Research shows that the main cause of safety accidents is human unsafe behavior. It is more and more important to study the production safety management system to restrain the emergence of unsafe behavior of employees. The specific research in this paper is as follows: firstly, based on the analysis of the characteristics of the safety consciousness cooperation and competition process, the meaning of the safety consciousness interaction between the enterprise managers and the employees is determined. Define the scope of an interactive group. Combined with the practice of safety management and the theory of planned behavior, according to the inherent guidance of consciousness to behavior, which is the direct influence factor of behavior, this paper puts forward the problem of group safety consciousness assimilation. Based on the theory of Lotka-Volterra biological competition, the evolutionary model of group safety consciousness competition among people in enterprise production system is constructed. The influence of safety consciousness level and safety consciousness competition coefficient on the safety consciousness level of the staff is analyzed by netlogo simulation, and the feasible conclusion is that it is feasible to give full play to the leading role of the manager and correctly guide the safety consciousness of the staff. Secondly, from the point of view of complex system analysis, in order to explore the root causes and mechanism of personal unsafe behavior in enterprises, this paper studies the influencing factors of enterprise personnel unsafe consciousness. On the basis of synthesizing the research results of previous scholars and collecting a large number of relevant theories and Chinese and foreign literature, this paper sums up, collates, supplements and perfects the interaction between various unsafe human factors and factors. Through graph theory, the coupling mechanism between human factors of enterprise personnel in enterprise production system is demonstrated, and the importance degree of each influencing factor is sorted by using the measure index in graph theory, and the factors of high importance degree are selected. Combined with the theory of planning behavior and the key factors extracted, the mathematical model was completed by questionnaire survey and regression analysis. Finally, netlogo software is used to simulate and analyze the effectiveness of management factors to the safety consciousness of employees in the production of enterprises, and the conclusion is drawn that the safety supervision of managers and their own safety awareness assimilate and improve the safety awareness of employees is the most significant conclusion. Finally, under the background of enterprise production, the possibility of making use of mobile sensor coverage technology to construct enterprise production safety monitoring network to assist the artificial safety monitoring process on site is discussed. A cooperative coverage deployment strategy for two groups of wireless sensors based on accident trigger is proposed, that is, when a single group of sensors implements centralized coverage of the accident area, the coverage of the area is greatly reduced. Adjacent subgroups can be coordinated to mitigate the heterogeneity of coverage in the distribution of the two subgroups. In the basic environment, the application of the proposed deployment method is demonstrated by simulation. The simulation results show that the proposed method can avoid the subgroup in a certain area from falling into local cluster search and ignore the situation of other potential accident areas, so that the overall coverage performance of monitoring accidents can be greatly improved.
【学位授予单位】：辽宁科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP212.9;TP315

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