本文選題：頻繁軌跡 + 預(yù)測制造�。� 參考：《南京航空航天大學(xué)》2017年碩士論文

【摘要】：制造物聯(lián)技術(shù)的應(yīng)用在制造環(huán)境中積累了大量寶貴的制造數(shù)據(jù),為復(fù)雜制造系統(tǒng)的研究提供了堅實基礎(chǔ)。作為制造系統(tǒng)的核心,生產(chǎn)任務(wù)往往圍繞著在制品的加工過程進行分配,因此在制品制造數(shù)據(jù)為復(fù)雜制造系統(tǒng)的描述和解釋提供了寶貴的邏輯知識,這些邏輯知識還能為生產(chǎn)狀態(tài)的預(yù)測提供基礎(chǔ)。本文針對離散制造車間中在制品的狀態(tài)軌跡,提出了對在制品數(shù)據(jù)進行管理的數(shù)據(jù)模型,并在此基礎(chǔ)上,提出了在制品狀態(tài)軌跡模式的挖掘算法和在制品狀態(tài)預(yù)測算法。本文的主要內(nèi)容包括:(1)針對在制品數(shù)據(jù)中的知識,運用語義坐標和邏輯軌跡對在制品的狀態(tài)軌跡鏈進行描述,對在制品的生產(chǎn)過程進行高層次抽象;(2)對在制品的狀態(tài)軌跡鏈進行分析,在語義坐標的基礎(chǔ)上,提出了在制品狀態(tài)軌跡模式的挖掘算法;(3)在制品的狀態(tài)軌跡模式為狀態(tài)預(yù)測提供了邏輯知識。在軌跡模式的基礎(chǔ)上,進一步提出了在制品狀態(tài)的預(yù)測算法;(4)本文提出了物理空間和邏輯空間的融合框架,以及信息交換和推送機制。并且,本文對提出的方法進行了檢驗。
[Abstract]:The application of manufacturing technology accumulates a lot of valuable manufacturing data in manufacturing environment, which provides a solid foundation for the research of complex manufacturing system. As the core of manufacturing systems, production tasks are often distributed around the process of WIP, so WIP data provide valuable logical knowledge for the description and interpretation of complex manufacturing systems. These logic knowledge can also provide the basis for the prediction of production state. In this paper, a data model for managing WIP data in discrete manufacturing workshop is proposed. On the basis of this model, an algorithm for mining WIP state trajectory patterns and a WIP state prediction algorithm are proposed. The main contents of this paper include: (1) aiming at the knowledge in the WIP data, the state locus chain of the WIP is described by using the semantic coordinate and the logical locus. The state locus chain of WIP is analyzed on the basis of semantic coordinates. In this paper, an algorithm for mining state locus patterns of work-in-process is proposed. (3) the state locus pattern of work-in-process provides logical knowledge for state prediction. On the basis of trajectory pattern, a prediction algorithm of in-process state is proposed. (4) in this paper, the fusion framework of physical space and logical space, and the mechanism of information exchange and push are proposed. In addition, the proposed method is tested in this paper.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TB49

【參考文獻】

相關(guān)期刊論文 前10條

1 鄧佳;王永利;董振江;;面向位置預(yù)測的動態(tài)軌跡模式挖掘[J];計算機應(yīng)用研究;2017年10期

2 左岸;;物聯(lián)網(wǎng):“工業(yè)4.0”加速前行的助推器[J];通信世界;2015年08期

3 魏中賀;李少波;;基于云制造的數(shù)據(jù)挖掘研究[J];貴州大學(xué)學(xué)報(自然科學(xué)版);2015年01期

4 方燦娟;薛建彬;章合n，

本文編號：1825378