【摘要】：隨著信息技術(shù)的不斷發(fā)展,云制造、物聯(lián)網(wǎng)等技術(shù)理論為如何實現(xiàn)設(shè)計制造資源的快速聚集和有效應(yīng)用提供了新的解決思路。云制造借鑒了云計算的思想,旨在實現(xiàn)制造資源的虛擬化與制造能力的服務(wù)化。作為云制造技術(shù)重要分支的云設(shè)計理論,由于其可以動態(tài)的聚集企業(yè)外部設(shè)計資源、快速提高企業(yè)設(shè)計能力的特點,得到了越來越多的關(guān)注。云設(shè)計服務(wù)平臺依托于互聯(lián)網(wǎng)技術(shù)將企業(yè)內(nèi)部復(fù)雜產(chǎn)品設(shè)計任務(wù)與企業(yè)外部設(shè)計資源有效地連接在一起,通過動態(tài)的資源組織向用戶提供技術(shù)服務(wù)。在云設(shè)計服務(wù)平臺的開發(fā)過程中,由于設(shè)計任務(wù)的多樣性、能力資源的動態(tài)性以及任務(wù)分配過程的復(fù)雜性,造成了該模式運行效率較低,適用產(chǎn)品范圍較小。為此,本文深入研究了基于信息熵測度理論的任務(wù)建模方法和云設(shè)計環(huán)境下設(shè)計資源聚集方法,并且將任務(wù)相似度與任務(wù)復(fù)雜度相結(jié)合,作為匹配優(yōu)化目標(biāo),實現(xiàn)基于多分辨率聚類算法的任務(wù)-能力匹配過程,從而大幅提高云設(shè)計過程的效率,縮短了產(chǎn)品設(shè)計周期。(1)根據(jù)信息熵理論,重新定義了產(chǎn)品設(shè)計任務(wù)復(fù)雜度的概念,把任務(wù)設(shè)計操作復(fù)雜度、操作邏輯復(fù)雜度和信息復(fù)雜度合理地融合在了一起,并且結(jié)合分解樹模型和有向圖理論分別提出了產(chǎn)品設(shè)計任務(wù)分解模型和時序模型�；谄嚹＞弋a(chǎn)品的實例對計算方法和任務(wù)建模過程給出了進(jìn)一步說明。(2)通過對設(shè)計資源的深入分析,提出了云設(shè)計環(huán)境下的設(shè)計能力單元模型,將設(shè)計能力單元的屬性分為基本能力屬性、技術(shù)能力屬性和動態(tài)能力屬性。根據(jù)設(shè)計能力單元已完成任務(wù)與待分配任務(wù)之間的相似度,計算得出設(shè)計能力單元與待分配任務(wù)之間的匹配度,并基于模糊集理論提出設(shè)計任務(wù)完成周期預(yù)估方法。(3)提出了基于任務(wù)相似度的設(shè)計任務(wù)域與設(shè)計能力域的匹配流程以及基于多分辨率聚類算法的任務(wù)-能力匹配算法,確保了設(shè)計任務(wù)匹配過程的準(zhǔn)確性。并且基于實例驗證了本文所提出的分配算法的有效性。(4)基于本文的研究基礎(chǔ),開發(fā)了基于云設(shè)計理論的汽車及模具產(chǎn)業(yè)鏈服務(wù)平臺,實現(xiàn)了汽車模具云設(shè)計模式。
[Abstract]:With the continuous development of information technology, cloud manufacturing, Internet of things and other technical theories provide a new solution for how to realize the rapid aggregation and effective application of design and manufacturing resources. Cloud manufacturing draws lessons from cloud computing and aims to realize virtualization of manufacturing resources and service of manufacturing capabilities. As an important branch of cloud manufacturing technology cloud design theory has been paid more and more attention because it can dynamically aggregate external design resources and improve the design ability of enterprises. Cloud design service platform relies on Internet technology to effectively connect complex product design tasks and external design resources, and provide technical services to users through dynamic resource organization. In the development process of cloud design service platform, due to the diversity of design tasks, the dynamic nature of capability resources and the complexity of task allocation process, the operation efficiency of the model is low and the product scope is small. Therefore, the task modeling method based on the information entropy measure theory and the design resource aggregation method in the cloud design environment are studied in this paper, and the task similarity is combined with the task complexity as the target of matching optimization. The task-capability matching process based on multi-resolution clustering algorithm is implemented, which greatly improves the efficiency of the cloud design process and shortens the product design cycle. (1) according to the information entropy theory, the concept of task complexity in product design is redefined. The task design operation complexity, the operation logic complexity and the information complexity are reasonably combined together, and the product design task decomposition model and the time series model are put forward based on the decomposition tree model and the directed graph theory, respectively. Based on the examples of automobile mould products, the calculation method and task modeling process are further explained. (2) through the in-depth analysis of design resources, the design capability unit model under cloud design environment is proposed. The attributes of design capability unit are divided into basic capability attribute, technical capability attribute and dynamic capability attribute. According to the similarity between the completed task and the task to be assigned, the matching degree between the design capability unit and the task to be assigned is calculated. Based on fuzzy set theory, a design task completion cycle prediction method is proposed. (3) the matching process between design task domain and design capability domain based on task similarity and the task-ability matching algorithm based on multi-resolution clustering algorithm are proposed. Ensure the accuracy of the design task matching process. And the effectiveness of the proposed allocation algorithm is verified based on an example. (4) based on the research foundation of this paper, the service platform of automobile and die industry chain based on cloud design theory is developed, and the cloud design pattern of automobile mold is realized.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TP311.52;TB472

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳耀光;關(guān)于設(shè)計及設(shè)計以外的觀點[J];室內(nèi)設(shè)計與裝修;2005年01期

2 凌山;邁出集成化工程設(shè)計環(huán)境建設(shè)第一步的上海市滬閔建筑設(shè)計院[J];工程設(shè)計CAD及自動化;1995年02期

3 楊晨暉,應(yīng)道寧;智能化的產(chǎn)品設(shè)計環(huán)境[J];計算機(jī)輔助設(shè)計與圖形學(xué)學(xué)報;1997年06期

4 肖康亮;;基于設(shè)計環(huán)境與設(shè)計實現(xiàn)的策略研究[J];大眾文藝;2013年23期

5 鄭巨欣;;比較設(shè)計學(xué)的理論與方法[J];裝飾;2008年05期

6 姚之潔;;論后世博時代的新設(shè)計態(tài)[J];南京藝術(shù)學(xué)院學(xué)報(美術(shù)與設(shè)計);2010年05期

7 劉麗娟;;現(xiàn)代設(shè)計環(huán)境下的“少即是多”[J];現(xiàn)代裝飾(理論);2012年06期

8 ;智能化的設(shè)計工具顯著提高了用戶的設(shè)計效率和創(chuàng)造能力[J];工程設(shè)計CAD與智能建筑;1999年04期

9 王振華;隋鵬飛;郭愛斌;鄧家y，

本文編號：2126371