本文關(guān)鍵詞： 語義 特征 復(fù)雜產(chǎn)品 數(shù)控機床 工業(yè)設(shè)計 情境　出處：《湖南大學(xué)》2016年博士論文　論文類型：學(xué)位論文

【摘要】：復(fù)雜產(chǎn)品的工業(yè)設(shè)計是振興制造業(yè),提高產(chǎn)品品質(zhì)的關(guān)鍵技術(shù)之一。產(chǎn)品語義研究是構(gòu)建產(chǎn)品可理解信息模型和可分享數(shù)據(jù)的基礎(chǔ)。本論文選題源于國家科研課題和設(shè)計實踐活動,以復(fù)雜產(chǎn)品的造型設(shè)計為研究對象,通過產(chǎn)品語義類別和語義特征的認知研究,構(gòu)建有效的設(shè)計系統(tǒng)方法,支持和輔助工業(yè)設(shè)計的創(chuàng)新活動。研究從語義研究出發(fā),結(jié)合復(fù)雜產(chǎn)品——數(shù)控機床的特點,以克里彭多夫(Krippendorff)產(chǎn)品語義框架為基礎(chǔ),構(gòu)建了復(fù)雜產(chǎn)品語義認知與轉(zhuǎn)換模型。在進行理論探討、實驗研究和實例驗證的基礎(chǔ)上,以用戶認知為主導(dǎo),對數(shù)控機床樣本案例進行知識獲取與表達,初步建立了復(fù)雜產(chǎn)品多語義特征框架。然后,結(jié)合語義特征認知的任務(wù)實驗構(gòu)建不同設(shè)計師認知地圖,分析不同語義特征形成的情境和問題求解策略,構(gòu)建了基于語義特征的情境過程模型。最后建立了一個基于語義特征認知的機床造型輔助設(shè)計系統(tǒng),驗證了本研究中語義特征知識模型和處理方法的可行性。論文采用定性與定量相結(jié)合的研究方法,從三個層面展開理論和方法研究。宏觀層面基于克里彭多夫(Krippendorff)產(chǎn)品語義理論框架,以數(shù)控機床為具體產(chǎn)品對象,定義產(chǎn)品意義的類別,提出以自然語義、動作語義和造型語義的共同編碼形式,實現(xiàn)產(chǎn)品語義的獲取與表達;中觀層面以案例分析為基礎(chǔ),綜合研究“設(shè)計對象”和“設(shè)計過程”,采用特征識別、動素分析、感性工學(xué)、認知隱喻等方法,抽取復(fù)雜產(chǎn)品的語義特征,提出象征語義特征、指示語義特征向圖標(biāo)語義特征的顯性轉(zhuǎn)換關(guān)系。繪制設(shè)計師認知地圖,分析語義特征情境及對應(yīng)策略,引入FBS設(shè)計過程模型,構(gòu)建復(fù)雜產(chǎn)品設(shè)計的情境過程模型;微觀層面通過訪談法、問卷法、實驗法、口語分析等定性、定量的基礎(chǔ)方法,為中觀層面方法提供全面的底層數(shù)據(jù)信息,包括風(fēng)格語義特征抽取、人機語義特征抽取、文化語義特征抽取、語義特征認知鏈實驗共四個實驗。具體研究內(nèi)容和成果包括:首先:構(gòu)建復(fù)雜產(chǎn)品的語義類別及語義認知轉(zhuǎn)換框架。以數(shù)控機床為具體對象,研究產(chǎn)品語義的意義類別和表達方式,歸納產(chǎn)品使用、語言、發(fā)生、社會生態(tài)的意義類別。采用調(diào)研和卡片歸類的方法,針對數(shù)控機床得到結(jié)構(gòu)、人機、審美、風(fēng)格、家族化、文化六類設(shè)計意義。研究認為,用戶使用動作語言和自然語言表達產(chǎn)品認知,設(shè)計師使用造型語言表達產(chǎn)品造型,通過共同編碼可以完整表達產(chǎn)品語義信息。復(fù)雜產(chǎn)品語義認知與轉(zhuǎn)換框架是指用戶認知語義轉(zhuǎn)換為與產(chǎn)品造型相關(guān)的象征語義、指示語義和圖標(biāo)語義及語義特征,并通過設(shè)計師情境認知進行創(chuàng)新設(shè)計的路徑和方法。為后續(xù)復(fù)雜產(chǎn)品語義特征抽取提供了理論基礎(chǔ)。再者:構(gòu)建了復(fù)雜產(chǎn)品語義特征框架。采用實驗和特征抽取方法,提取數(shù)控機床造型的圖標(biāo)語義特征、指示語義特征和象征語義特征,獲得圖標(biāo)語義特征的體量、形面和圖案成分;指示語義特征的動作要素;以及象征語義特征的風(fēng)格要素、文化要素,構(gòu)建了系統(tǒng)的復(fù)雜產(chǎn)品語義特征框架。建立了不同語義特征間關(guān)聯(lián),初步實現(xiàn)了產(chǎn)品語義從抽象到具體的轉(zhuǎn)換,同時為構(gòu)建情境過程模型和計算機輔助設(shè)計系統(tǒng)提供了基礎(chǔ)。然后:構(gòu)建了基于語義特征的情境過程模型。采用認知實驗方法,構(gòu)建設(shè)計師的設(shè)計過程認知地圖,分析設(shè)計師的設(shè)計思維方式與語義特征的關(guān)系,確定不同語義特征對設(shè)計的知識輔助作用,獲取語義特征認知的情境結(jié)構(gòu)及問題求解策略,整合語義情境及策略的情境過程模型。最后:開發(fā)SFC-ICAID原型系統(tǒng)。包括系統(tǒng)框架構(gòu)建、系統(tǒng)主要功能模塊以及平臺建設(shè)�；谇榫尺^程模型構(gòu)建了項目管理、案例檢索、案例分析、案例修改四大模塊,輔助支持數(shù)控機床造型設(shè)計。通過系統(tǒng)運用,完成機床造型設(shè)計獲得了良好的設(shè)計效果和市場評價,初步驗證了理論研究及系統(tǒng)輔助的合理性和有效性。
[Abstract]:The industrial design of complex products is the development of manufacturing industry, one of the key technologies to improve the product quality. The research is to construct the product semantics product can understand the information model and the share of the data base. The topic of this paper comes from the national scientific research and design practice, in order to make the complex product design as the research object, through cognitive research on product semantics the category and semantic features, construction of system design method, support and aided industrial design innovation. From the research of semantic research, combined with the characteristics of complex products, CNC machine tools, with Crippen Dov (Krippendorff) framework of product semantics as the foundation, constructs a complex product semantic cognition and translation model. In theory, based on the experimental research and practical verification, based on user cognitive oriented of CNC machine sample case knowledge acquisition and representation, initially established More complex product semantic features framework. Then, construct the different cognitive map designer with task experimental cognitive semantic features, semantic analysis of different characteristics of the situation and problem solving strategies, construct situational process model based on semantic feature modeling. The machine aided design system finally established a semantic feature based on cognition, verify the feasibility in this study, the semantic features of knowledge model and processing method. The paper uses research methods of qualitative and quantitative research, theories and methods from three aspects. The macro level based on Dov Crippen (Krippendorff) framework of product semantic theory, the CNC machine tools as a specific product object, defining the meaning of the products category, proposed to the natural semantics the common form of action, encoding semantic and semantic modeling, acquisition and expression of product semantics; case analysis based on meso level The foundation, comprehensive study "design" and "design process", using feature recognition, therbligs analysis, Kansei Engineering, cognitive metaphor, semantic feature extraction of complex products, the symbol of semantic feature, semantic feature conversion to explicit icons indicating semantic feature relations. Drawing designer cognitive map, and the corresponding analysis of the situation strategy of semantic features, the FBS design process model, construct process model of complex product design; the micro level through interviews, questionnaire method, experimental method, qualitative analysis method based on oral, quantitative, provides the data comprehensive information for the meso level, including the style of semantic feature extraction, semantic feature extraction machine, culture semantic feature extraction, semantic features of experimental cognitive chain a total of four experiments. The main research contents and results include: first, semantic category and semantic cognition construction of complex products. Change the frame. The CNC machine tools as a specific object, and expression of product semantic meaning category, inductive products, language, social and ecological significance. The research method and category classification card, for CNC machine tool structure, ergonomics, aesthetic style, family culture, six kinds of design. Research shows that the user action language and natural language expression product awareness, designers use other language to express product modeling, through joint encoding can fully express the product semantic information. Complex product semantic cognition and transformation framework refers to the user cognitive semantics into symbolic semantics associated with product modeling, indicating the semantic and semantic and semantic features and icons. The path and method of innovation design by designers of situated cognition. It provides theoretical basis for the follow-up of complex product semantic feature extraction. Then, constructs a complex The framework of product semantic features. The experimental and feature extraction method, extract icon semantic features of NC machine tool model, indicating the semantic characteristics and symbolic semantic features, semantic features get the icon size, shape and pattern composition; action element indicates the semantic features and semantic features; symbolic style elements, cultural elements, constructs a semantic feature the framework of complex product system was established. The correlation between different semantic features, realizes product semantic transformation from the abstract to the concrete, and provide the basis for the construction situation of process model and the computer aided design system. Then the construction situation and process model based on semantic features. By cognitive experiments, cognitive map design process of building designers the analysis of the relationship between the designers thinking and semantic features, determine the different semantic features of design knowledge of auxiliary function, Situational structure and problem solving strategy to obtain semantic features of cognitive, situational context and process model integration strategy. Finally the semantic development of SFC-ICAID prototype system. Including system framework, main function modules of the system and platform construction situation. Process model of construction project management, based on case retrieval, case analysis, case revision four modules. NC machine tools design. By using auxiliary support system, complete the design of a machine tool to get a good design effect and market evaluation, a preliminary validation of the theoretical research and the auxiliary system is reasonable and effective.

【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：TB47

【相似文獻】

相關(guān)期刊論文 前4條

1 魏維;鄒書蓉;劉鳳玉;;多層視頻語義概念分析與理解[J];計算機輔助設(shè)計與圖形學(xué)學(xué)報;2008年01期

2 李昕,洪文學(xué),宋佳霖,李長吾;一種車輛舒適度傳感器語義概念生成方法研究[J];儀器儀表學(xué)報;2005年S1期

3 趙建勛;黃繼海;;基于多模態(tài)融合的視頻語義概念檢測[J];科技創(chuàng)新與應(yīng)用;2013年28期

4 ;[J];;年期

相關(guān)會議論文 前4條

1 張輝;朱俊武;;基于P2P的語義Web服務(wù)發(fā)現(xiàn)模型研究[A];2008年全國開放式分布與并行計算機學(xué)術(shù)會議論文集(下冊)[C];2008年

2 陳子晨;;“身”的概念結(jié)構(gòu)及與中國傳統(tǒng)身體觀的聯(lián)系[A];增強心理學(xué)服務(wù)社會的意識和功能——中國心理學(xué)會成立90周年紀念大會暨第十四屆全國心理學(xué)學(xué)術(shù)會議論文摘要集[C];2011年

3 戴樂;;英文導(dǎo)游翻譯中的語義重構(gòu)問題[A];福建省外國語文學(xué)會2004年會論文集[C];2004年

4 李昕;洪文學(xué);宋佳霖;李長吾;;一種車輛舒適度傳感器語義概念生成方法研究[A];第三屆全國信息獲取與處理學(xué)術(shù)會議論文集[C];2005年

相關(guān)博士學(xué)位論文 前5條

1 歐靜;基于語義特征的復(fù)雜產(chǎn)品工業(yè)設(shè)計系統(tǒng)研究[D];湖南大學(xué);2016年

2 張瑞杰;基于局部語義概念表示的圖像場景分類技術(shù)研究[D];解放軍信息工程大學(xué);2013年

3 鄺礫;基于接口和行為語義的Web服務(wù)發(fā)現(xiàn)與適配研究[D];浙江大學(xué);2009年

4 李曉文;從認知語言學(xué)視角研究Dao（道/Way）的多義性及其拓展的語義概念形成[D];上海外國語大學(xué);2012年

5 潘偉森;多維語義感知的Web服務(wù)社會建模及關(guān)鍵問題研究[D];天津大學(xué);2013年

相關(guān)碩士學(xué)位論文 前10條

1 張東香;基于多重語義的詞典管理方法和實現(xiàn)[D];江蘇科技大學(xué);2015年

2 張強;基于機器翻譯的中文語義解析[D];東南大學(xué);2015年

3 詹智財;基于卷積神經(jīng)網(wǎng)絡(luò)的視頻語義概念分析[D];江蘇大學(xué);2016年

4 孔瑋婷;基于高斯混合模型視覺特征的視頻語義概念檢測技術(shù)研究[D];江蘇大學(xué);2016年

5 楊培;基于語義概念的特殊視頻內(nèi)容檢測[D];中央民族大學(xué);2016年

6 張秋月;音高方向?qū)幼骺臻g語義激活和情緒語義激活的研究[D];云南師范大學(xué);2016年

7 吳忠安;基于面部識別技術(shù)的個人智能相冊的研究與實現(xiàn)[D];吉林大學(xué);2016年

8 李穎芳;語義Web服務(wù)發(fā)現(xiàn)問題研究[D];昆明理工大學(xué);2012年

9 辛昕;語義Web技術(shù)在電子政務(wù)系統(tǒng)中的研究與應(yīng)用[D];北京郵電大學(xué);2006年

10 郭富祿;面向OWL-S服務(wù)搜索的語義條件表達式及其處理機制的研究[D];湖南工業(yè)大學(xué);2014年

，

本文編號：1522759