本文選題：頻繁軌跡 + 預(yù)測(cè)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(jiān)實(shí)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(jìn)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(shí),這些邏輯知識(shí)還能為生產(chǎn)狀態(tài)的預(yù)測(cè)提供基礎(chǔ)。本文針對(duì)離散制造車間中在制品的狀態(tài)軌跡,提出了對(duì)在制品數(shù)據(jù)進(jìn)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(cè)算法。本文的主要內(nèi)容包括:(1)針對(duì)在制品數(shù)據(jù)中的知識(shí),運(yùn)用語義坐標(biāo)和邏輯軌跡對(duì)在制品的狀態(tài)軌跡鏈進(jìn)行描述,對(duì)在制品的生產(chǎn)過程進(jìn)行高層次抽象;(2)對(duì)在制品的狀態(tài)軌跡鏈進(jìn)行分析,在語義坐標(biāo)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(cè)提供了邏輯知識(shí)。在軌跡模式的基礎(chǔ)上,進(jìn)一步提出了在制品狀態(tài)的預(yù)測(cè)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(jī)制。并且,本文對(duì)提出的方法進(jìn)行了檢驗(yàn)。
[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(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TB49

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本文編號(hào)：1825378