本文關(guān)鍵詞：ALE中交易集合事件的處理方法與技術(shù)研究　出處：《北方工業(yè)大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： EPC物聯(lián)網(wǎng) 集合事件 Hadoop技術(shù) 物流中心

【摘要】：隨著物聯(lián)網(wǎng)產(chǎn)業(yè)的興起,世界各國(比如美國、日本)分別就物聯(lián)網(wǎng)產(chǎn)業(yè)的研究和發(fā)展制定了相應(yīng)的策略。我國于2009年提出了“感知中國”的戰(zhàn)略構(gòu)想,致力于將物聯(lián)網(wǎng)科技帶來的便利廣泛地應(yīng)用到人們的日常生活中。然而,隨著感知設(shè)備、攝像頭等數(shù)據(jù)采集設(shè)備的大量部署,數(shù)據(jù)采集的范圍和規(guī)模不斷擴(kuò)大,使得對感知數(shù)據(jù)的辨認(rèn)、分類、存儲、利用成為了制約物聯(lián)網(wǎng)應(yīng)用發(fā)展的一個難題。該問題在相關(guān)的技術(shù)標(biāo)準(zhǔn)中,如EPCglobal國際標(biāo)準(zhǔn),也沒有提出相應(yīng)的解決方案。 EPC物聯(lián)網(wǎng)的感知數(shù)據(jù)主要來源于各種商品所攜帶的電子標(biāo)簽,采集該信息的設(shè)備--識讀器被廣泛部署在物流中心的各個區(qū)域。識讀器在每個讀取周期內(nèi)可以對同一個標(biāo)簽進(jìn)行快速、重復(fù)的掃描,這將使得物流中心的數(shù)據(jù)量日益增大,從而導(dǎo)致物流中心信息系統(tǒng)的服務(wù)功能由于數(shù)據(jù)量過大而受到影響。并且由于數(shù)據(jù)增長速度、數(shù)據(jù)量以及計算需求已經(jīng)超出了物流中心所配備的服務(wù)器的容量以及計算能力,使得傳統(tǒng)數(shù)據(jù)處理方式已經(jīng)無法滿足對數(shù)據(jù)中心EPC數(shù)據(jù)進(jìn)行存儲、分析的需求,嚴(yán)重影響了物流中心對外提供的數(shù)據(jù)訂閱服務(wù),而云計算技術(shù)的出現(xiàn)為物流中心的大數(shù)據(jù)數(shù)據(jù)訂閱難題帶來了簡單高效的解決方式。 因此,本文在對大數(shù)據(jù)處理技術(shù)如Hadoep等深入理解的基礎(chǔ)上,通過對EPCGlobal國際標(biāo)準(zhǔn)中的集合事件進(jìn)行了擴(kuò)展,提出了集合事件的處理方法,并使用Hadoop技術(shù)進(jìn)行實現(xiàn),用以滿足終端用戶對交易集合事件數(shù)據(jù)訂閱的需求。 實驗結(jié)果表明,ALE中交易集合事件的處理方法可以對數(shù)據(jù)中心的海量數(shù)據(jù)進(jìn)行高效的存儲和分析,并能準(zhǔn)確地獲取用戶的交易集合事件訂閱數(shù)據(jù),從而可以極大地提高物流中心的服務(wù)質(zhì)量和服務(wù)水平。
[Abstract]:With the rise of the Internet of things industry, countries in the world (such as the United States, Japan) have made corresponding strategies for the research and development of the Internet of things industry. In 2009, China put forward the strategic concept of "perceiving China". Devoting to the convenience of Internet of things technology widely used in people's daily life. However, with a large number of deployment of sensing devices, cameras and other data acquisition devices, the scope and scale of data acquisition is expanding. The identification, classification, storage and utilization of perceptual data have become a difficult problem in the development of Internet of things applications. This problem is in the relevant technical standards, such as the EPCglobal international standard. Also did not propose the corresponding solution. The perceptual data of the EPC Internet of things mainly comes from the electronic tags carried by various goods. The device that collects this information, the reader, is widely deployed in all areas of the logistics center. The reader can scan the same label quickly and repeatedly during each reading cycle. This will make the data volume of logistics center increasing day by day, resulting in the service function of logistics center information system is affected because of the large amount of data, and because of the speed of data growth. The amount of data and computing requirements have exceeded the capacity and computing capacity of the server provided by the logistics center, which makes the traditional data processing method can no longer meet the data center EPC data storage. The demand of analysis seriously affects the data subscription service provided by logistics center, and the emergence of cloud computing technology brings a simple and efficient solution to the problem of big data data subscription in logistics center. Therefore, based on the in-depth understanding of big data processing techniques such as Hadoep, this paper extends the set events in the international standard of EPCGlobal. In this paper, a method of dealing with set events is proposed and implemented by using Hadoop technology to meet the demand of end users to subscribe to transaction set event data. The experimental results show that the transaction set event processing method in ale can efficiently store and analyze the massive data in the data center and can accurately obtain user transaction set event subscription data. Thus, the service quality and service level of logistics center can be greatly improved.
【學(xué)位授予單位】：北方工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP311.13;TP391.44;TN929.5

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