【摘要】：質(zhì)量作為現(xiàn)代企業(yè)競爭的核心點之一,已經(jīng)被越來越多的企業(yè)所重視。只有保證產(chǎn)品質(zhì)量,才能保證企業(yè)長久不衰。作為傳統(tǒng)制造業(yè)的典型產(chǎn)品,柴油機在諸多領域都有著舉足輕重的地位。隨著交通運輸業(yè)的蓬勃發(fā)展,柴油機的質(zhì)量安全也在社會中受到了廣泛的關注。柴油機生產(chǎn)過程中一直存在著數(shù)據(jù)管理困難,數(shù)據(jù)失真以及質(zhì)量信息難追溯等問題,這些問題都制約著柴油機的質(zhì)量管理水平。如何解決上述問題,是本文接下來的分析的重點。本文基于質(zhì)量管理與質(zhì)量追溯相關理論與方法,結合柴油機生產(chǎn)的實際情況建立質(zhì)量追溯模型,并將物聯(lián)網(wǎng)的關鍵技術,應用到柴油機質(zhì)量信息采集方案中,建立柴油機質(zhì)量信息追溯管控系統(tǒng)。首先,本文介紹了質(zhì)量追溯的相關方法與理論,并借助文獻了解質(zhì)量追溯、物聯(lián)網(wǎng)的國內(nèi)外研究現(xiàn)狀,提出現(xiàn)階段國內(nèi)外質(zhì)量追溯研究存在的不足,在此基礎上提出了本文的論文結構、整體的寫作思路。其次,針對柴油機生產(chǎn)過程中的質(zhì)量管理狀況,分析在質(zhì)量管理過程中各部門的相關工作與業(yè)務流程,分析質(zhì)量管理過程中存在的問題,并圍繞這些問題提出解決方案,依據(jù)質(zhì)量追溯相關理論、批次管理方法建立質(zhì)量追溯模型,用以指導柴油機質(zhì)量信息追溯管控系統(tǒng)的構建。再次,結合物聯(lián)網(wǎng)關鍵技術,對柴油機關鍵件生產(chǎn)過程進行工藝流程分析,設置關鍵工序以及質(zhì)量控制點,并使用RFID電子標簽技術設計實物標識方案。對于使用傳感器進行質(zhì)量信息采集方式的情形,通過設計基于無線傳感網(wǎng)的信息采集方案,結合ZigBee無線技術,實現(xiàn)質(zhì)量信息采集與控制的自動化,并通過基于無線傳感網(wǎng)的溫度采集與控制實驗驗證方案的可行性。最后,結合質(zhì)量追溯模型,圍繞柴油機質(zhì)量管理需求完成質(zhì)量信息追溯管控系統(tǒng)的功能設計。通過UML系統(tǒng)建模的方法驗證其功能完整性,并根據(jù)企業(yè)實際應用進行效果驗收說明,實現(xiàn)質(zhì)量信息數(shù)字化管理,有效的解決數(shù)據(jù)管理困難,數(shù)據(jù)失真,質(zhì)量問題難追溯等問題。
[Abstract]:As one of the core points of modern enterprise competition, quality has been paid more and more attention by more and more enterprises. Only to ensure the quality of products, can ensure that the enterprise for a long time. As a typical product of traditional manufacturing, diesel engine plays an important role in many fields. With the vigorous development of transportation, the quality and safety of diesel engine has been paid more and more attention in the society. There are many problems in diesel engine production, such as the difficulty of data management, the distortion of data and the difficulty of traceability of quality information. These problems restrict the quality management level of diesel engine. How to solve the above problems is the focus of the next analysis in this paper. Based on the theory and method of quality management and quality traceability, this paper establishes a model of quality traceability based on the actual situation of diesel engine production, and applies the key technology of Internet of things to the quality information acquisition scheme of diesel engine. Establish the diesel engine quality information traceability control system. First of all, this paper introduces the relevant methods and theories of quality traceability, and with the help of literature to understand the quality traceability, Internet of things at home and abroad research status, put forward the current domestic and foreign quality traceability research shortcomings, On this basis, this paper puts forward the structure of the paper, the overall thinking of writing. Secondly, aiming at the situation of quality management in diesel engine production process, this paper analyzes the related work and business process of each department in the process of quality management, analyzes the problems existing in the process of quality management, and puts forward solutions to these problems. According to the quality traceability theory, the batch management method is used to establish the quality traceability model to guide the construction of diesel engine quality information traceability control system. Thirdly, the key technology of coupling networking is used to analyze the process flow of diesel engine key parts production process, set up key processes and quality control points, and use RFID electronic label technology to design the physical identification scheme. In the case of using the sensor to collect the quality information, through the design of the information collection scheme based on the wireless sensor network and the combination of ZigBee wireless technology, the automation of the quality information collection and control can be realized. The feasibility of the scheme is verified by the temperature acquisition and control experiment based on wireless sensor network. Finally, combined with the quality traceability model, the function design of the quality information traceability control system is completed based on the diesel engine quality management requirements. Through the UML system modeling method to verify its functional integrity, and according to the actual application of the enterprise to verify the effect of acceptance instructions, quality information digital management, effective solutions to the difficulties of data management, data distortion, quality problems are difficult to trace back.
【學位授予單位】：大連理工大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TK42

【參考文獻】

相關期刊論文 前9條

1 辛金國;龔愷;;基于物聯(lián)網(wǎng)技術統(tǒng)計數(shù)據(jù)采集的影響因素[J];統(tǒng)計與決策;2015年23期

2 代緒強;孫亞振;許自力;戚寶運;;基于MES系統(tǒng)的離散制造業(yè)質(zhì)量信息管理研究[J];機械制造與自動化;2014年02期

3 劉曉冰;李雯;郭毅;吳祝君;丁成;;基于質(zhì)量追蹤溯源理論的機車產(chǎn)品安全質(zhì)量管理系統(tǒng)研究[J];工業(yè)工程與管理;2013年01期

4 趙文心;鄭聯(lián)語;宮磊;;基于事件的飛機產(chǎn)品追溯系統(tǒng)研究[J];航空標準化與質(zhì)量;2011年03期

5 莊維;高峰;;全面質(zhì)量管理對組織創(chuàng)新的作用(上)[J];上海質(zhì)量;2009年04期

6 馬健誠;梁工謙;李暉;惠懷海;;面向質(zhì)量的制造過程控制管理研究[J];機床與液壓;2008年02期

7 葉明海;趙敏;;缺陷汽車產(chǎn)品召回的批次性質(zhì)量追溯方法[J];汽車工程;2006年06期

8 鄭衛(wèi)莉;某型號批次質(zhì)量管理的實踐與認識[J];質(zhì)量與可靠性;2001年02期

9 張公緒 ,鄭慧英 ,卜祥民;兩種質(zhì)量多元診斷理論[J];中國質(zhì)量;1997年02期

相關會議論文 前1條

1 李明;張根保;曾海峰;趙喜;;基于批次的產(chǎn)品質(zhì)量信息因果追溯方法研究[A];第三屆中國質(zhì)量學術論壇論文集[C];2008年

相關博士學位論文 前1條

1 陳燕;基于UML的嵌入式系統(tǒng)系統(tǒng)級設計方法研究[D];復旦大學;2005年

相關碩士學位論文 前10條

1 陳殿藩;基于UML建模的吉林大學珠海學院科研管理系統(tǒng)設計與實現(xiàn)[D];吉林大學;2015年

2 劉君;物聯(lián)網(wǎng)技術的認識論研究[D];東華大學;2015年

3 鐘婷;微車后橋生產(chǎn)過程關鍵工序質(zhì)量追溯系統(tǒng)[D];重慶大學;2014年

4 劉桂君;華晨金杯汽車質(zhì)量追溯管理信息系統(tǒng)開發(fā)方案研究[D];吉林大學;2014年

5 陳靜云;車間物聯(lián)網(wǎng)數(shù)據(jù)采集關鍵技術研究[D];南京航空航天大學;2014年

6 陳書義;基于小批量、多品種的軍用電子元器件質(zhì)量追溯研究[D];浙江工業(yè)大學;2013年

7 高金飛;基于RFID的醫(yī)療耗材質(zhì)量安全追溯系統(tǒng)設計與實現(xiàn)[D];哈爾濱工業(yè)大學;2013年

8 侯秀美;基于UML的電子商務系統(tǒng)建模及應用研究[D];南昌大學;2012年

9 姚旭東;國內(nèi)外物聯(lián)網(wǎng)技術發(fā)展的比較研究[D];西南交通大學;2012年

10 劉偉;基于MES的質(zhì)量信息管理與質(zhì)量追溯系統(tǒng)研究[D];山東大學;2012年

，

本文編號：2441480