LG煤矿水源热泵空调系统改造工程综合评价研究

发布时间：2018-03-08 04:34

本文选题：矿井水　切入点：水源热泵　出处：《山东科技大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着国家“十三五”规划的提出,建设集约、安全、高效、绿色矿区是煤矿长期的奋斗目标。矿井水作为煤矿生产开采过程中较大的浪费资源,近几年越来越受到人们的重视。利用矿井水为来源改造水源热泵空调系统,有效的利用矿井水的热量,并且通过水源热泵系统实现冷热量的循环利用。但目前煤矿的矿井水水源热泵系统仅仅在主观上判断实施效果,因此需要建立一个完整的评价体系,全方面客观的评价矿井水水源热泵空调系统的运行效果,对其以后的生产运作改进具有指导意义。首先,在矿井水水源热泵空调系统的实际生产情况和国内外研究成果的基础上,详细分析影响系统实施效果的各个方面因素,形成一个较为完整的评价框架;其次,从定性和定量两个角度筛选优化指标,定性分析是根据专家意见和现场实施条件进行优化,定量分析是将定量指标两年的数据运用灰色关联度分析进行优化,筛选出各个因素关联度较大的因素,建立最终的综合评价体系;第三,运用改进的层次分析法定性地确定指标权重,运用灰色关联分析法确定定量指标的权重,将两种方法所得的权重进行组合,得到更加客观有效的权重比值;第四,运用灰色模糊数学理论确定灰色模糊隶属度,定性指标根据专家打分值运用灰色白化权函数划分隶属度,定量指标根据实际生产数据运用指数分布函数划分隶属度,由此建立灰色-模糊综合评价模型;最后,运用评价模型,将该项目的各项指标数据进行灰色模糊综合评价分析,针对出现的问题给出相应的改进建议,并检验评价模型的有效性。
[Abstract]:With the national "13th Five-Year Plan" proposed, the construction of intensive, safe, efficient and green mining areas is the long-term goal of coal mines. Mine water as a large waste of resources in the process of coal production and mining, In recent years, more and more attention has been paid to the improvement of water source heat pump air conditioning system by using mine water as a source to effectively utilize the heat of mine water. But the coal mine water source heat pump system is only subjective in judging the implementation effect, so it is necessary to establish a complete evaluation system. Evaluating the operation effect of mine water source heat pump air conditioning system objectively in all aspects is of guiding significance to the future operation improvement of mine water source heat pump air conditioning system. First of all, On the basis of the actual production situation of mine water source heat pump air conditioning system and the domestic and foreign research results, this paper analyzes in detail the factors affecting the implementation effect of the system, and forms a relatively complete evaluation framework. The qualitative analysis is based on the expert opinion and the field implementation condition, and the quantitative analysis is to optimize the data of the quantitative index in two years by using the grey relational degree analysis. The factors with high correlation degree are screened out, and the final comprehensive evaluation system is established. Thirdly, the weight of the index is determined qualitatively by the improved analytic hierarchy process (AHP), and the weight of the quantitative index is determined by the grey correlation analysis. The weight of the two methods is combined to obtain a more objective and effective weight ratio. 4th, using the grey fuzzy mathematics theory to determine the grey fuzzy membership, According to the expert scoring value, the qualitative index uses the gray whitening weight function to divide the membership degree, the quantitative index uses the index distribution function to divide the membership degree according to the actual production data, and the grey fuzzy comprehensive evaluation model is established. By using the evaluation model, the index data of the project are analyzed by grey fuzzy comprehensive evaluation, and the corresponding improvement suggestions are given in view of the existing problems, and the validity of the evaluation model is tested.
【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】：TD40

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