數控機床進給系統(tǒng)靜動熱特性分析知識庫的設計與開發(fā)
發(fā)布時間：2018-10-24 09:09
【摘要】：隨著信息化技術和網絡化技術在全球范圍內的迅猛發(fā)展,機床行業(yè)正在經歷著革命性的變革,數字化設計技術是推進機床行業(yè)變革的動力,而知識庫是數字化設計的關鍵技術之一。數控機床進給系統(tǒng)靜動熱特性分析知識庫旨在從機床數字化設計角度出發(fā),幫助設計分析人員更好更快的完成靜動熱特性分析。深入開展該領域的研究工作并取得突破性進展,對帶動整個高檔數控機床行業(yè)的產業(yè)升級以及推動我國制造業(yè)的發(fā)展和經濟發(fā)展具有重要的意義。本文在分析國內外機床行業(yè)靜動熱特性分析知識管理現狀及實地調研的基礎上,進行了數控機床進給系統(tǒng)靜動熱特性分析知識庫的總體設計,首先進行了系統(tǒng)的功能需求分析和性能需求分析,接著進行了系統(tǒng)的結構設計,包括系統(tǒng)的體系結構設計、功能結構設計和系統(tǒng)的數據流圖分析,然后進行了系統(tǒng)實現所需要的關鍵技術研究,包括進給系統(tǒng)靜動熱特性分析知識構成及分類模型的研究、知識表示和知識獲取方法研究和知識推理方法研究：在研究進給系統(tǒng)靜動熱特性分析知識特點的基礎上,建立了靜動熱特性分析的知識分類模型；通過比較常用的知識表示方法和知識獲取方法,并結合靜動熱特性分析知識分類模型,提出了適合本知識庫系統(tǒng)的知識表示方法和知識獲取方法；考慮到進給系統(tǒng)靜動熱特性分析知識的特點,本文采用的知識推理方法為基于實例推理和基于規(guī)則推理相結合的推理方法,在研究其推理算法過程的基礎上,給出了實例推理和規(guī)則推理在本知識庫系統(tǒng)中的實例研究應用情況。最后,在研究關鍵技術的基礎上,結合系統(tǒng)的需求分析和結構設計,本文采用面向對象語言C#并結合SQL數據庫技術,設計并開發(fā)了數控機床進給系統(tǒng)靜動熱特性分析知識庫,并給出了系統(tǒng)的運行實例。
[Abstract]:With the rapid development of information technology and network technology in the global scope, the machine tool industry is undergoing a revolutionary change, digital design technology is the driving force to promote the transformation of the machine tool industry. Knowledge base is one of the key technologies in digital design. Analysis of static and dynamic Thermal characteristics of CNC Machine tool feeding system the knowledge base aims at helping design analysts to complete the analysis of static and dynamic heat characteristics better and faster from the point of view of digital design of machine tools. It is of great significance to carry out the research work in this field and to make a breakthrough in promoting the upgrading of the industry of the whole high-grade CNC machine tool industry and the development of the manufacturing industry and the economic development of our country. On the basis of analyzing the present situation of knowledge management and field investigation of static and dynamic heat characteristics analysis in the machine tool industry at home and abroad, this paper has carried out the overall design of the knowledge base for static and dynamic heat characteristic analysis of NC machine tool feed system. Firstly, the function requirement analysis and performance requirement analysis of the system are carried out, and then the system structure design, including the system architecture design, the function structure design and the system data flow diagram analysis, are carried out. Then, the key technologies needed to realize the system are studied, including the research on the knowledge structure and classification model of the static and dynamic thermal characteristics analysis of the feed system. Research on knowledge representation and knowledge acquisition method and knowledge reasoning method: on the basis of studying the characteristics of static and dynamic heat characteristics analysis of feed system, a knowledge classification model of static and dynamic heat characteristic analysis is established. By comparing the common knowledge representation methods and knowledge acquisition methods, and combining the static and dynamic thermal characteristics analysis knowledge classification model, the knowledge representation and knowledge acquisition methods suitable for this knowledge base system are put forward. Considering the characteristics of static and dynamic heat characteristic analysis knowledge of feed system, the knowledge reasoning method used in this paper is the combination of case-based reasoning and rule-based reasoning, based on the research of its reasoning algorithm process. The case study and application of case-based reasoning and rule-based reasoning in this knowledge base system are presented. Finally, on the basis of the research of key technology, combined with the requirement analysis and structure design of the system, this paper designs and develops the knowledge base of static and dynamic heat characteristic analysis of NC machine tool feed system by using object-oriented language C # and SQL database technology. A running example of the system is given.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TG659
[Abstract]:With the rapid development of information technology and network technology in the global scope, the machine tool industry is undergoing a revolutionary change, digital design technology is the driving force to promote the transformation of the machine tool industry. Knowledge base is one of the key technologies in digital design. Analysis of static and dynamic Thermal characteristics of CNC Machine tool feeding system the knowledge base aims at helping design analysts to complete the analysis of static and dynamic heat characteristics better and faster from the point of view of digital design of machine tools. It is of great significance to carry out the research work in this field and to make a breakthrough in promoting the upgrading of the industry of the whole high-grade CNC machine tool industry and the development of the manufacturing industry and the economic development of our country. On the basis of analyzing the present situation of knowledge management and field investigation of static and dynamic heat characteristics analysis in the machine tool industry at home and abroad, this paper has carried out the overall design of the knowledge base for static and dynamic heat characteristic analysis of NC machine tool feed system. Firstly, the function requirement analysis and performance requirement analysis of the system are carried out, and then the system structure design, including the system architecture design, the function structure design and the system data flow diagram analysis, are carried out. Then, the key technologies needed to realize the system are studied, including the research on the knowledge structure and classification model of the static and dynamic thermal characteristics analysis of the feed system. Research on knowledge representation and knowledge acquisition method and knowledge reasoning method: on the basis of studying the characteristics of static and dynamic heat characteristics analysis of feed system, a knowledge classification model of static and dynamic heat characteristic analysis is established. By comparing the common knowledge representation methods and knowledge acquisition methods, and combining the static and dynamic thermal characteristics analysis knowledge classification model, the knowledge representation and knowledge acquisition methods suitable for this knowledge base system are put forward. Considering the characteristics of static and dynamic heat characteristic analysis knowledge of feed system, the knowledge reasoning method used in this paper is the combination of case-based reasoning and rule-based reasoning, based on the research of its reasoning algorithm process. The case study and application of case-based reasoning and rule-based reasoning in this knowledge base system are presented. Finally, on the basis of the research of key technology, combined with the requirement analysis and structure design of the system, this paper designs and develops the knowledge base of static and dynamic heat characteristic analysis of NC machine tool feed system by using object-oriented language C # and SQL database technology. A running example of the system is given.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TG659
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