面向绿色生产的煤矿安全投入优化模型研究

发布时间：2018-01-15 21:42

本文关键词：面向绿色生产的煤矿安全投入优化模型研究　出处：《郑州大学》2017年硕士论文　论文类型：学位论文

【摘要】：在生产安全与生态安全的高要求下,企业为减少安全损失,降低能源及排污成本,会投入一定的安全资源。在资源投入总量的限制下,各子要素之间存在资源竞争,由企业安全投入决策不科学导致的投入结构失衡成为制约我国煤炭生产企业发展的主要原因,在造成资源浪费的同时企业的生产事故及环境问题未得到有效改善,给企业及国家带来了沉重的经济负担。因此,如何高效利用资源,兼顾生产安全与生态安全方面的现实需求,实现煤矿在安全强约束下的绿色、高效可持续发展目标成为煤炭行业亟待解决的现实问题。本文首先采用支持向量回归机建立安全损失模型,在此基础上,以安全损失成本最小化为目标函数,结合现实约束条件,构建了面向绿色生产的煤矿安全投入优化模型;采用改进的粒子群寻优算法(IPSO)对模型进行求解;最后,以X矿井为例进行实证分析,验证了模型的有效性,并根据优化结果提出了对策及建议。本文的主要研究内容包括:(1)构建安全损失模型。从人员、机械设备、环境、安全管理、治污投入等方面探讨安全影响因素,并确定投入指标;有鉴于传统的C-D函数拟合安全投入与安全损失间作用关系的方法对解决煤炭生产领域中模糊复杂的安全投入问题具有一定局限性,故引入支持向量回归机拟合并构建了安全投入与损失的作用机理模型。(2)构建并求解安全投入优化模型。在安全损失模型构建的基础上,以最小化安全损失成本为目标函数,以实际需求限制为约束条件,确立了面向绿色生产的煤矿安全投入优化模型;为保证全局收敛性,在PS-PSO算法的基础上引入自适应控制策略对算法进行改进,并对模型进行了求解。(3)以某矿业集团X矿井为例进行实证研究并提出相应对策。首先,通过对X矿井进行调研并收集数据,构建了X矿井面向绿色生产的煤矿安全投入优化模型;其次,将两种求解方法的优化结果与优化前X矿井的安全投入情况进行对比,结果表明基于IPSO求解方法的模型能够进一步降低安全成本;最后,针对X矿井的优化结果提出了改进建议,以此实现安全投入优化方法在煤炭生产过程中的应用。研究结果表明:本文建立的煤矿安全损失模型能够更加准确地描述安全投入与安全成本间的非线性作用关系,基于此所构建的面向绿色生产的煤矿安全投入优化模型实现了安全投入结构优化的目的,并在模型求解部分得到了更为理想的结果。本文不仅从理论上丰富了面向绿色生产的安全资源投入优化的研究范畴,同时对安全高效开发我国煤炭资源、实现煤炭行业的可持续发展目标提供方法支持。
[Abstract]:Under the high requirements of production safety and ecological security, enterprises will invest certain safety resources in order to reduce safety losses and reduce the cost of energy and sewage. There is resource competition among the sub-elements, and the imbalance of input structure caused by unscientific decision-making of enterprise safety input becomes the main reason that restricts the development of coal production enterprises in China. At the same time, the production accidents and environmental problems of enterprises have not been effectively improved, which brings heavy economic burden to enterprises and countries. Therefore, how to use resources efficiently. Considering the practical demand of production safety and ecological security, we can realize the green of coal mine under the strong restriction of safety. The goal of efficient and sustainable development has become a practical problem to be solved urgently in the coal industry. Firstly, the support vector regression machine is used to establish the safety loss model, and the objective function is to minimize the cost of safety loss. The optimization model of coal mine safety investment oriented to green production is constructed based on the practical constraints. The improved particle swarm optimization algorithm (IPSO) is used to solve the model. Finally, taking X mine as an example, the validity of the model is verified, and the countermeasures and suggestions are put forward according to the optimization results. The main research contents of this paper include the construction of safety loss model. The influence factors of safety, such as mechanical equipment, environment, safety management, pollution control input, etc., are discussed, and the input index is determined. In view of the traditional C-D function fitting the relationship between safety input and safety loss, it has some limitations to solve the fuzzy and complex safety input problem in coal production field. Therefore, the mechanism model of safety input and loss is constructed by introducing support vector regression machine (SVM), and the optimization model of safety input is constructed and solved. On the basis of the construction of safety loss model, the optimization model of safety input is constructed. Based on the objective function of minimizing the cost of safety loss and the restriction of actual demand, the optimization model of coal mine safety investment for green production is established. In order to ensure the global convergence, the adaptive control strategy is introduced to improve the algorithm based on the PS-PSO algorithm. And the model is solved. 3) take a mining group X mine as an example to carry out empirical research and put forward the corresponding countermeasures. First, through the investigation of X mine and collect data. The optimization model of coal mine safety input for green production in X mine is constructed. Secondly, the optimization results of the two methods are compared with the safety input of X mine before optimization. The results show that the model based on IPSO solution method can further reduce the safety cost; Finally, suggestions for improving the optimization results of X mine are put forward. The application of safety input optimization method in coal production process is realized. The results show that:. The safety loss model established in this paper can more accurately describe the nonlinear relationship between safety input and safety cost. Based on this, the optimization model of coal mine safety input for green production is constructed to realize the optimization of safety input structure. This paper not only enriches the research field of safety resource investment optimization for green production, but also exploits coal resources safely and efficiently. To achieve the goal of sustainable development of the coal industry to provide method support.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.21;TD79

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