基于知识工程的真空机组智能设计系统

发布时间：2018-10-26 16:46

【摘要】：知识工程在机械产品尤其是真空设备的设计领域的研究和应用还处于初级阶段,特别是在国内,很多真空设备制造企业至今尚未认识到其重要性,现有的理论研究还与实践含具有较大的差距,处于初步尝试阶段。同时随着市场竞争不断激烈,客户需求响应的及时性的提高,对真空设备制造企业提出了越来越高的要求。因此,企业要想保持核心竞争力,必须实施知识工程方法,将知识工程应用到真空机组产品的方案设计过程中,因此成为本课题的研究问题。本文主要研究支持真空机组方案设计的设计方法和流程,并在研究工作的基础上开发面向行业典型产品的支持真空机组设计的专家系统。本文在研究过程中,始终坚持理论联系实际的原则,以理论研究为主线,以真空机组设计方法为主要研究对象,探讨支持真空机组设计的专家系统的原理与应用。本课题研究与设计的真空机组智能设计系统,采用RBR和CBR的双重推理机制。一方面从机组设计流程出发,结合真空知识与行业标准,吸收技术人员的设计经验来建立企业规则库,从而正向推理出真空系统的主要部分—真空泵。另一方面逐步添加企业所有的订单来扩充实例库,力求每一个新的订单都能由若干工况参数和设计参数在实例库中寻找到类似的解,仿照类似的案例为新的订单填充各式各样的配件,达到快速决策的目的。同时CBR推理机制的一个卓越的优点是边设计边学习,经由本系统设计出的每一条新的订单,都会被收录进实例库中作为经验供后来者使用。根据不同客户需求的差异,满足条件的真空机组也不一致,系统在提供选型功能的同时也具有二次开发的功能。实例库中的每一条信息在数据库中都具有唯一的地址与之对应,其中包含了订单的详细配置信息、外形预览图、机组流程图、CAD装配图以及三维模型等,方便技术人员准确及时地找到需要完善的内容进行二次开发。本系统同时也是对企业资源的一次整合。由于建立规则库与实例库的需要,对一套真空机组中的各项组成部分必然也需要进行详细的归纳整理以便甄选出最为适合的组件。本系统满足了企业发展中关于订单自动化和生产的要求,达到了预期的效果,具有一定的经济价值和实用价值。
[Abstract]:The research and application of knowledge engineering in the field of design of mechanical products, especially vacuum equipment, is still in the initial stage, especially in China, many vacuum equipment manufacturing enterprises have not realized its importance. The existing theoretical research has a big gap with the practice, and it is at the initial stage. At the same time, with the fierce market competition and the improvement of the timeliness of customer demand response, the vacuum equipment manufacturing enterprises put forward higher and higher requirements. Therefore, if enterprises want to maintain their core competitiveness, they must implement knowledge engineering methods and apply knowledge engineering to the design process of vacuum unit products, so it becomes the research problem of this subject. This paper mainly studies the design method and flow chart of supporting vacuum unit scheme design, and develops an expert system for supporting vacuum unit design based on the research work. In this paper, the principle of integrating theory with practice has always been adhered to, and the principle and application of the expert system supporting the design of vacuum unit have been discussed by taking the theoretical research as the main line and the design method of vacuum unit as the main research object. The research and design of the intelligent design system of vacuum unit adopts the dual reasoning mechanism of RBR and CBR. On the one hand, starting from the design process of the unit, combining the vacuum knowledge and industry standard, and absorbing the design experience of the technicians to establish the enterprise rule base, the vacuum pump, the main part of the vacuum system, can be deduced forward. On the other hand, we gradually add all the orders to expand the case library, and strive to find a similar solution in the instance library by several operating and design parameters for each new order. Follow similar cases to fill new orders with various accessories for quick decision-making. At the same time, one of the outstanding advantages of CBR reasoning mechanism is learning by design. Every new order designed by this system will be included in the case library as experience for later users. According to the different requirements of different customers, the vacuum units that meet the requirements are also inconsistent. The system has the function of secondary development while providing the selection function. Each piece of information in the instance library has a unique address corresponding to it in the database, which contains the detailed configuration information of the order, the outline preview diagram, the unit flow chart, the CAD assembly diagram and the 3D model, etc. Facilitate technical personnel to accurately and timely find the need to improve the content for secondary development. This system is also an integration of enterprise resources. Due to the need of establishing rule base and case base, the components of a vacuum unit must also be summed up and sorted in detail in order to select the most suitable components. The system meets the requirements of order automation and production in the development of enterprises, and achieves the expected results. It has certain economic and practical value.
【学位授予单位】：扬州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB75

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