本文選題：采煤機(jī)　切入點(diǎn)：知識分類　出處：《太原理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：當(dāng)今世界,隨著經(jīng)濟(jì)高速發(fā)展,機(jī)械產(chǎn)品制造業(yè)競爭愈加激烈,制造業(yè)技術(shù)水平越來越高,產(chǎn)品設(shè)計周期越來越短。采煤機(jī)是集機(jī)械、電氣、液壓為一體的復(fù)雜機(jī)械,快速高效的設(shè)計出適應(yīng)市場需要的采煤機(jī)已成為采煤機(jī)制造企業(yè)發(fā)展的關(guān)鍵。在機(jī)械產(chǎn)品設(shè)計中,復(fù)用已有設(shè)計和對已有設(shè)計進(jìn)行變形設(shè)計占據(jù)很大比例。因此,采煤機(jī)設(shè)計知識的高效利用對采煤機(jī)設(shè)計至關(guān)重要。本文通過改進(jìn)七步法的本體構(gòu)建方法對采煤機(jī)設(shè)計知識本體模型進(jìn)行構(gòu)建,實(shí)現(xiàn)了采煤機(jī)設(shè)計知識的表示。在采煤機(jī)設(shè)計知識本體模型的基礎(chǔ)上,建立了采煤機(jī)知識庫系統(tǒng)和概念設(shè)計系統(tǒng),實(shí)現(xiàn)采煤機(jī)設(shè)計知識的共享和重用。通過分析和研究采煤機(jī)設(shè)計知識的組成和結(jié)構(gòu),采用基于設(shè)計過程的知識分類方法,將采煤機(jī)設(shè)計知識分為過程知識、實(shí)體型知識和推理型知識。將七步法的各步驟進(jìn)行縮減整合,加入設(shè)計知識分類的步驟,設(shè)計出采煤機(jī)本體建模的五步法。在采煤機(jī)設(shè)計知識分類完成的基礎(chǔ)上構(gòu)建了采煤機(jī)設(shè)計知識本體模型。使用Protégé本體建模軟件,實(shí)現(xiàn)采煤機(jī)設(shè)計知識本體的構(gòu)建。在采煤機(jī)設(shè)計知識本體模型的基礎(chǔ)上,應(yīng)用本體解析技術(shù),通過Jena本體解析工具解析采煤機(jī)設(shè)計知識本體,將以O(shè)WL文檔儲存的采煤機(jī)設(shè)計知識導(dǎo)入關(guān)系數(shù)據(jù)庫中,形成采煤機(jī)設(shè)計知識庫。利用動態(tài)網(wǎng)絡(luò)技術(shù)、數(shù)據(jù)庫技術(shù)等,開發(fā)采煤機(jī)知識庫系統(tǒng),實(shí)現(xiàn)設(shè)計知識的查詢、擴(kuò)充、本體下載等功能。將本體相似度與相關(guān)性的計算方法運(yùn)用于采煤機(jī)實(shí)例相似度計算中,設(shè)計基于本體語義相似度的采煤機(jī)實(shí)例相似度計算方法。該方法首先計算獨(dú)立參數(shù)的相似程度,再將各項相似度結(jié)合,計算采煤機(jī)整機(jī)的相似度。以采煤機(jī)設(shè)計知識庫為數(shù)據(jù)支撐,開發(fā)了采煤機(jī)概念設(shè)計系統(tǒng),實(shí)現(xiàn)采煤機(jī)實(shí)例查詢和推理功能。采煤機(jī)設(shè)計知識庫系統(tǒng)和概念設(shè)計系統(tǒng)的開發(fā)均以ASP.NET為平臺,利用Microsoft Visual Studio 2010開發(fā)工具,選取C#為開發(fā)語言,使用SQL server 2008作為后臺數(shù)據(jù)庫。在對系統(tǒng)的測試和實(shí)際使用過程中,系統(tǒng)的界面良好、運(yùn)行穩(wěn)定、輸出結(jié)果可靠,證明了系統(tǒng)的可靠性。
[Abstract]:In today's world, with the rapid development of economy, the competition of mechanical products manufacturing industry is becoming more and more fierce, the manufacturing technology level is more and more high, and the product design cycle is getting shorter and shorter. Shearer is a complex machinery that integrates machinery, electricity and hydraulic pressure. Designing shearer quickly and efficiently to meet the needs of the market has become the key to the development of shearer manufacturing enterprises. In mechanical product design, reuse of existing design and deformation design of existing design occupy a large proportion. The efficient utilization of the design knowledge of shearer is very important to the design of shearer. This paper constructs the ontology model of design knowledge of shearer by improving the ontology construction method of seven-step method. The design knowledge representation of shearer is realized. Based on the ontology model of design knowledge of shearer, the knowledge base system and conceptual design system of shearer are established. Through analyzing and studying the composition and structure of the design knowledge of shearer, the design knowledge of shearer is divided into process knowledge by using the method of knowledge classification based on design process. Substantive knowledge and reasoning knowledge. Reduce and integrate the steps of the seven-step approach, and add the steps of design knowledge classification. A five-step method for modeling shearer ontology is designed. Based on the classification of design knowledge of shearer, the design knowledge ontology model of shearer is constructed. Prot 茅 g 茅 ontology modeling software is used. On the basis of the design knowledge ontology model of shearer, the design knowledge ontology of shearer is analyzed by Jena ontology analysis tool. This paper introduces the design knowledge of shearer stored in OWL document into relational database and forms the design knowledge base of shearer. By using dynamic network technology and database technology, the knowledge base system of shearer is developed to realize the inquiry and expansion of design knowledge. Ontology download and other functions. The ontology similarity and correlation calculation method is applied to the case similarity calculation of coal mining machine. A method for calculating the similarity of coal mining machine examples based on ontology semantic similarity is designed, in which the similarity degree of independent parameters is first calculated, and then the similarity is combined. The similarity of shearer is calculated. Based on the knowledge base of shearer design, the concept design system of shearer is developed. The design knowledge base system and conceptual design system of shearer are developed on the platform of ASP.NET, using Microsoft Visual Studio 2010 development tools, and selecting C # as the development language. SQL server 2008 is used as the backstage database. In the process of testing and using the system, the system has good interface, stable operation and reliable output result, which proves the reliability of the system.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TD421.6;TP311.13

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