大型空分装备模块构建与质量控制关键技术研究
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摘要
模块化设计是解决大型空分装备定制生产模式下产品多样化与成本之间矛盾的一种有效方法,质量控制是大型空分装备制造企业在激烈的市场竞争中生存和发展的关键。为使大型空分装备能够进行模块化设计并在设计过程中有效控制质量,本文在大型空分装备质量特性提取、模块构建、模块质量评价等几个方面展开了研究,并结合企业具体应用将上述理论应用于实际产品开发中,取得了良好的效果。
论文的主要工作如下：
第一章综述了产品模块构建和质量控制技术的内容和研究现状,在分析大型空分装备结构和需求的基础上,介绍了面向产品模块设计的客户需求建模技术、产品质量特性提取技术、产品模块构建技术和产品模块质量评价技术的研究进展,最后给出了本文的研究背景、研究内容和结构框架。
第二章研究了大型空分装备质量特性的提取技术。结合大型空分装备客户需求的特点,将客户需求分解为内容单元和结构,建立基于物元的客户需求拓扑结构模型。采用多属性证据推理理论构建大型空分装备的质量屋,得到大型空分装备的质量特性、特性之间的关联关系以及重要度。最后,给出了大型空分装备质量特性提取的实例,验证了方法的可行性。
第三章研究了基于质量准则的产品模块构建方法。将大型空分装备的质量特性转化为模块构建依据的准则,使用粗糙集对希尔伯特空间内的零部件样本进行初步分类,得到产品的模块数量和每个模块内零部件组成的上近似集合与下近似集合。利用改进的非支配排序遗传算法对其进行进一步求解进而获得模块构建方案集。最后,以深冷式大型空分装备模块构建作为实例,证明了方法的有效性和可行性。
第四章对已构建的模块质量进行综合评价,提出了基于Vague交叉熵的多准则评价方法。采用Vague集进行评价信息建模,使用Vague熵表示评价信息的模糊程度,改进传统Topsis方法中对于距离的度量,用Vague交叉熵表示各方案之间的差异,将大型空分装备模块质量在多个准则下的评价信息进行综合从而得到评价结果。最后,以深冷式大型空分装备模块质量作为评价对象,给出了评价实例。
第五章结合企业项目需求和本文研究成果,开发了面向大型空分装备的模块构建与质量管理系统,以工程实践验证了本文理论和方法的正确性和可行性。
第六章总结了本文的主要研究内容和成果,并展望了今后的研究工作。
Product diversification and cost is a pair of contradictory for the customization of large air separation equipment, and modular design is an effective method for solving this problem. Quality Control is of great importance for large air separation equipment production enterprise. In order to optimize the modular design and quality control of air separation equipment, quality characteristic extraction technology, module construction technology and module quality evaluation are researched in this paper. At last, the theory is successfully used in actual product development and has achieved good effect.
The main contents of this dissertation are as follows:
Chapter 1 gives the review of the content and research status of the product modular design and quality control. Based on analyzing the structure and demand condition of large air separation equipment, the content and research development of customer demand modeling technology for product modular design, product quality characteristic extraction technology, product module construction technology and product module quality evaluation are introduced. At last, the research background, research content and structural frame are given.
Chapter 2 researches the quality characteristic extraction technology for large air separation equipment. Combining with the characteristics of the large air separation equipment's customer demand, the customer demand is divided to content and structure, the matter-element-based customer demand topological structure model is established. Multiple attribute evidence reasoning theory is used to construct the quality house of the large air separation equipment. At last, an example is given to validate the feasibility of the method.
Chapter 3 researches the quality-based module construction method. The quality characteristic of large air separation equipment is used as the criterion of module construction, the rough set is used to preliminary classify the sample parts in Hilbert Space, and then the numbers of modules, the lower approximation of modules and the upper approximation of modules are obtained. Based on above mentioned results, improved non-dominated sorting genetic algorithm was used for searching the optimal module partition solution. At the end of this chapter, large scale deep cooling air-separating equipment's module partition process as a practical case is provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter 4, in this chapter, the constructed module quality is evaluated, and a multiple-criteria evaluation method based on vague cross entropy is given. Vague set is used to model the assessment information, vague cross entropy is used to express the fuzzy degrees of assessment information, and the distance measure method in traditional TOPSIS is replaced by vague cross entropy to measure the differences of vague sets. Then the Module quality assessment information under different criterions is composited and the final result is got. At last, large air separation equipment's model quality is evaluated to check the availability of the above method.
Chapter 5, combined with the company's real demand and research results in this dissertation, a software system about module construction and quality control for large air separation equipment manufacturing enterprises is developed.
Chapter 6 summarizes the main research content and results in this dissertation, and the future research direction of the author is given.
论文的主要工作如下：
第一章综述了产品模块构建和质量控制技术的内容和研究现状,在分析大型空分装备结构和需求的基础上,介绍了面向产品模块设计的客户需求建模技术、产品质量特性提取技术、产品模块构建技术和产品模块质量评价技术的研究进展,最后给出了本文的研究背景、研究内容和结构框架。
第二章研究了大型空分装备质量特性的提取技术。结合大型空分装备客户需求的特点,将客户需求分解为内容单元和结构,建立基于物元的客户需求拓扑结构模型。采用多属性证据推理理论构建大型空分装备的质量屋,得到大型空分装备的质量特性、特性之间的关联关系以及重要度。最后,给出了大型空分装备质量特性提取的实例,验证了方法的可行性。
第三章研究了基于质量准则的产品模块构建方法。将大型空分装备的质量特性转化为模块构建依据的准则,使用粗糙集对希尔伯特空间内的零部件样本进行初步分类,得到产品的模块数量和每个模块内零部件组成的上近似集合与下近似集合。利用改进的非支配排序遗传算法对其进行进一步求解进而获得模块构建方案集。最后,以深冷式大型空分装备模块构建作为实例,证明了方法的有效性和可行性。
第四章对已构建的模块质量进行综合评价,提出了基于Vague交叉熵的多准则评价方法。采用Vague集进行评价信息建模,使用Vague熵表示评价信息的模糊程度,改进传统Topsis方法中对于距离的度量,用Vague交叉熵表示各方案之间的差异,将大型空分装备模块质量在多个准则下的评价信息进行综合从而得到评价结果。最后,以深冷式大型空分装备模块质量作为评价对象,给出了评价实例。
第五章结合企业项目需求和本文研究成果,开发了面向大型空分装备的模块构建与质量管理系统,以工程实践验证了本文理论和方法的正确性和可行性。
第六章总结了本文的主要研究内容和成果,并展望了今后的研究工作。
Product diversification and cost is a pair of contradictory for the customization of large air separation equipment, and modular design is an effective method for solving this problem. Quality Control is of great importance for large air separation equipment production enterprise. In order to optimize the modular design and quality control of air separation equipment, quality characteristic extraction technology, module construction technology and module quality evaluation are researched in this paper. At last, the theory is successfully used in actual product development and has achieved good effect.
The main contents of this dissertation are as follows:
Chapter 1 gives the review of the content and research status of the product modular design and quality control. Based on analyzing the structure and demand condition of large air separation equipment, the content and research development of customer demand modeling technology for product modular design, product quality characteristic extraction technology, product module construction technology and product module quality evaluation are introduced. At last, the research background, research content and structural frame are given.
Chapter 2 researches the quality characteristic extraction technology for large air separation equipment. Combining with the characteristics of the large air separation equipment's customer demand, the customer demand is divided to content and structure, the matter-element-based customer demand topological structure model is established. Multiple attribute evidence reasoning theory is used to construct the quality house of the large air separation equipment. At last, an example is given to validate the feasibility of the method.
Chapter 3 researches the quality-based module construction method. The quality characteristic of large air separation equipment is used as the criterion of module construction, the rough set is used to preliminary classify the sample parts in Hilbert Space, and then the numbers of modules, the lower approximation of modules and the upper approximation of modules are obtained. Based on above mentioned results, improved non-dominated sorting genetic algorithm was used for searching the optimal module partition solution. At the end of this chapter, large scale deep cooling air-separating equipment's module partition process as a practical case is provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter 4, in this chapter, the constructed module quality is evaluated, and a multiple-criteria evaluation method based on vague cross entropy is given. Vague set is used to model the assessment information, vague cross entropy is used to express the fuzzy degrees of assessment information, and the distance measure method in traditional TOPSIS is replaced by vague cross entropy to measure the differences of vague sets. Then the Module quality assessment information under different criterions is composited and the final result is got. At last, large air separation equipment's model quality is evaluated to check the availability of the above method.
Chapter 5, combined with the company's real demand and research results in this dissertation, a software system about module construction and quality control for large air separation equipment manufacturing enterprises is developed.
Chapter 6 summarizes the main research content and results in this dissertation, and the future research direction of the author is given.
引文
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