基于TRIZ進(jìn)化理論的產(chǎn)品創(chuàng)新設(shè)計(jì)關(guān)鍵技術(shù)研究
本文選題:創(chuàng)新設(shè)計(jì) + TRIZ。 參考:《濟(jì)南大學(xué)》2017年碩士論文
【摘要】:TRIZ進(jìn)化理論揭示了技術(shù)系統(tǒng)產(chǎn)生、成長(zhǎng)、成熟、衰老的過程,TRIZ進(jìn)化法則為未來(lái)技術(shù)狀態(tài)的預(yù)測(cè)提供了豐富的理論基礎(chǔ)。對(duì)當(dāng)前技術(shù)的分析和對(duì)未來(lái)技術(shù)的預(yù)測(cè)是創(chuàng)新的基礎(chǔ)和前提,利用TRIZ進(jìn)化理論分析和預(yù)測(cè)系統(tǒng)技術(shù)狀態(tài),指導(dǎo)產(chǎn)品創(chuàng)新設(shè)計(jì)過程具有重要意義。專利是世界上最大的信息源,蘊(yùn)含了大量設(shè)計(jì)知識(shí),目前多數(shù)創(chuàng)新設(shè)計(jì)方法和創(chuàng)新過程的研究均以專利為分析對(duì)象。研究重點(diǎn)不同,提取和表達(dá)知識(shí)的側(cè)重點(diǎn)也不同,研究過程中建立的專利模型往往只對(duì)一種創(chuàng)新設(shè)計(jì)方法有效,對(duì)于其他設(shè)計(jì)方法用起來(lái)并不合適。因此,本文以專利為研究對(duì)象,圍繞基于TRIZ進(jìn)化理論的產(chǎn)品創(chuàng)新設(shè)計(jì)過程對(duì)以下關(guān)鍵技術(shù)進(jìn)行了研究:專利知識(shí)的提取及應(yīng)用研究。通過對(duì)進(jìn)化路線提取環(huán)境和本體特點(diǎn)的比較,論證了用本體方法建模的可行性;對(duì)IPC類名中包含的設(shè)計(jì)知識(shí)分析,提出了IPC知識(shí)在本體建模中的三個(gè)應(yīng)用;研究了基于組件分解的設(shè)計(jì)知識(shí)分析方法,確定了便于進(jìn)行進(jìn)化分析的專利知識(shí)本體模型及建模步驟。技術(shù)狀態(tài)分析及預(yù)測(cè)過程研究。總結(jié)了經(jīng)典TRIZ法則下的10條主要進(jìn)化路線,闡述了其具體內(nèi)容并對(duì)進(jìn)化狀態(tài)進(jìn)行了可視化表達(dá);對(duì)進(jìn)化規(guī)律和進(jìn)化本質(zhì)進(jìn)行研究,提出了問題解決過程中十種主要的“組件操作”方式;基于以上研究?jī)?nèi)容,確定了基于“組件操作”的進(jìn)化路線及專利族提取過程。進(jìn)化狀態(tài)-效應(yīng)映射原理研究。分析效應(yīng)的實(shí)施原理,論證了進(jìn)化狀態(tài)-效應(yīng)映射的可行性;總結(jié)了以功能基為基礎(chǔ)的功能描述詞匯和以流名詞為基礎(chǔ)的屬性參數(shù)描述詞匯,并研究了它們與效應(yīng)的對(duì)應(yīng)關(guān)系;從功能和屬性參數(shù)兩個(gè)方面對(duì)進(jìn)化狀態(tài)進(jìn)行描述,實(shí)現(xiàn)了進(jìn)化狀態(tài)到科學(xué)效應(yīng)的映射。CAI系統(tǒng)開發(fā)及實(shí)例分析。開發(fā)了便于對(duì)專利知識(shí)進(jìn)行管理,對(duì)進(jìn)化路線和科學(xué)效應(yīng)進(jìn)行查詢的計(jì)算機(jī)輔助創(chuàng)新設(shè)計(jì)系統(tǒng);應(yīng)用以上研究的理論方法和創(chuàng)新設(shè)計(jì)系統(tǒng)對(duì)便攜式采棉機(jī)專利進(jìn)行分析,驗(yàn)證了研究的可行性。
[Abstract]:Triz evolutionary theory reveals the process of technological system generation, growth, maturity and senescence. Triz evolutionary law provides a rich theoretical basis for the prediction of technological state in the future. The analysis of current technology and the prediction of future technology are the basis and premise of innovation. It is of great significance to use Triz evolution theory to analyze and predict the technological state of the system and to guide the process of product innovation design. Patent is the largest source of information in the world, which contains a lot of design knowledge. At present, most of the research on innovative design methods and innovation process takes patent as the object of analysis. The focus of research is different, and the emphasis of extracting and expressing knowledge is also different. The patent model established in the research process is often effective for one innovative design method, but not suitable for other design methods. Therefore, this paper studies the following key technologies around the process of product innovation design based on Triz evolution theory: the extraction and application of patent knowledge. Through the comparison of evolution route extraction environment and ontology characteristics, the feasibility of modeling with ontology method is demonstrated, and three applications of IPC knowledge in ontology modeling are put forward for the analysis of design knowledge contained in IPC class name. The design knowledge analysis method based on component decomposition is studied, and the patent knowledge ontology model and modeling steps are determined. Technical state analysis and prediction process research. This paper summarizes the ten main evolutionary routes under the classical Triz rule, expounds its concrete contents and visualizes the evolution state, studies the evolution law and the essence of evolution. Ten main "component operations" in the process of problem solving are put forward, and based on the above research, the evolutionary route based on "component operation" and the extraction process of patent family are determined. Study on the principle of Evolutionary State-effect Mapping. This paper analyzes the implementation principle of the effect, proves the feasibility of the evolutionary state-effect mapping, summarizes the functional description vocabulary based on the function base and the attribute parameter description vocabulary based on the stream noun, and studies their corresponding relationship with the effect. The evolution state is described from two aspects of function and attribute parameter. The mapping from evolution state to scientific effect is realized, and the development of CAI system and the analysis of examples are also given. A computer aided innovation design system is developed to manage patent knowledge, query evolution route and scientific effect, and to analyze the patent of portable cotton picker by using the theoretical method and innovative design system mentioned above. The feasibility of the study is verified.
【學(xué)位授予單位】:濟(jì)南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TB472
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