面向客户需求的产品碳排放映射关键技术研究

发布时间：2018-10-22 08:46

【摘要】：随着全球气候变暖等环境问题的日趋严重,人类的环保意识逐渐提升,绿色、低碳逐渐成为企业和客户关注的重点。控制碳排放,减少环境压力,实现低碳、可持续发展十分重要。建立面向客户需求的产品碳排放多层次映射模型,构建产品碳排放在产品层、功能模块层分析模型是低碳技术中的重要工作。本文研究了客户绿色需求的获取方法,构建了客户绿色需求采集模板,分析了产品绿色需求,提出了基于客户特征的产品绿色需求预测方法,并采用信息增益量化分析客户特征对需求的影响。在获取客户需求的基础上,采用模糊层次分析法确定客户绿色需求的优先性,并引入改进的QFDE方法将客户绿色需求转化为功能模块单元的技术参数,实现了客户绿色需求到功能模块单元技术参数的转化。基于生命周期分析方法建立了产品层碳排放量化模型。采用模块化思想进行产品功能模块单元碳排放量化与分配,实现了产品层碳排放到功能模块层碳排放的映射。针对碳排放较大的模块单元,基于敏感性分析方法研究了产品技术参数变化与碳排放变化之间的映射关系。基于客户需求与模块单元技术参数之间的映射关系,识别对碳排放影响程度较大的需求并反馈给客户。同时,结合产品在产品层、功能模块层和参数层的碳排放分析结果为产品的低碳优化提供方向。最后以冰箱产品为例,对本文提出的方法进行验证。
[Abstract]:With the global warming and other environmental problems becoming more and more serious, the awareness of human environmental protection is gradually raised. Green and low carbon gradually become the focus of attention of enterprises and customers. Controlling carbon emissions, reducing environmental pressure, achieving low carbon, sustainable development is very important. It is an important work in low carbon technology to set up a multi-level mapping model of product carbon emission for customer demand, and to construct a model of product carbon emission in product layer, function module layer analysis. In this paper, the acquisition method of customer green demand is studied, the collection template of customer green demand is constructed, the product green demand is analyzed, and the forecasting method of product green demand based on customer characteristics is put forward. The influence of customer characteristics on demand is analyzed by information gain quantification. On the basis of obtaining customer demand, fuzzy analytic hierarchy process (FAHP) is used to determine the priority of customer green demand, and an improved QFDE method is introduced to transform customer green demand into the technical parameters of function module unit. The conversion of customer green requirement to the technical parameters of function module unit is realized. Based on the life cycle analysis method, the carbon emission model of product layer is established. The modularization idea is adopted to realize the mapping between product layer carbon emission and functional module carbon emission. Based on the sensitivity analysis, the mapping relationship between the change of product technical parameters and the change of carbon emission is studied for the module unit with large carbon emission. Based on the mapping relationship between the customer requirements and the technical parameters of the module unit, the requirements that have a greater impact on carbon emissions are identified and fed back to the customers. At the same time, the results of carbon emission analysis in product layer, functional module layer and parameter layer provide the direction for low carbon optimization. Finally, the method proposed in this paper is verified by taking the refrigerator product as an example.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB472

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