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云設計環(huán)境下任務域與能力域的匹配機制研究

發(fā)布時間:2018-07-16 12:20
【摘要】:隨著信息技術的不斷發(fā)展,云制造、物聯網等技術理論為如何實現設計制造資源的快速聚集和有效應用提供了新的解決思路。云制造借鑒了云計算的思想,旨在實現制造資源的虛擬化與制造能力的服務化。作為云制造技術重要分支的云設計理論,由于其可以動態(tài)的聚集企業(yè)外部設計資源、快速提高企業(yè)設計能力的特點,得到了越來越多的關注。云設計服務平臺依托于互聯網技術將企業(yè)內部復雜產品設計任務與企業(yè)外部設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服務。在云設計服務平臺的開發(fā)過程中,由于設計任務的多樣性、能力資源的動態(tài)性以及任務分配過程的復雜性,造成了該模式運行效率較低,適用產品范圍較小。為此,本文深入研究了基于信息熵測度理論的任務建模方法和云設計環(huán)境下設計資源聚集方法,并且將任務相似度與任務復雜度相結合,作為匹配優(yōu)化目標,實現基于多分辨率聚類算法的任務-能力匹配過程,從而大幅提高云設計過程的效率,縮短了產品設計周期。(1)根據信息熵理論,重新定義了產品設計任務復雜度的概念,把任務設計操作復雜度、操作邏輯復雜度和信息復雜度合理地融合在了一起,并且結合分解樹模型和有向圖理論分別提出了產品設計任務分解模型和時序模型;谄嚹>弋a品的實例對計算方法和任務建模過程給出了進一步說明。(2)通過對設計資源的深入分析,提出了云設計環(huán)境下的設計能力單元模型,將設計能力單元的屬性分為基本能力屬性、技術能力屬性和動態(tài)能力屬性。根據設計能力單元已完成任務與待分配任務之間的相似度,計算得出設計能力單元與待分配任務之間的匹配度,并基于模糊集理論提出設計任務完成周期預估方法。(3)提出了基于任務相似度的設計任務域與設計能力域的匹配流程以及基于多分辨率聚類算法的任務-能力匹配算法,確保了設計任務匹配過程的準確性。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,開發(fā)了基于云設計理論的汽車及模具產業(yè)鏈服務平臺,實現了汽車模具云設計模式。
[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.
【學位授予單位】:天津大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:TP311.52;TB472

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