本文選題：移動設(shè)備 + RFID　； 參考：《上海師范大學(xué)》2015年碩士論文

【摘要】：移動互聯(lián)網(wǎng)的飛速發(fā)展,給資產(chǎn)管理技術(shù)提供了更多的機(jī)遇,如物聯(lián)網(wǎng)、云計算和大數(shù)據(jù)技術(shù)的興起。物流領(lǐng)域?qū)FID技術(shù)的廣泛應(yīng)用也使得該技術(shù)趨于成熟,大數(shù)據(jù)時代的到來也將物流業(yè)引入新的發(fā)展空間。雖然RFID技術(shù)已經(jīng)在資產(chǎn)管理方面有很多應(yīng)用,但其可移動性,便捷性仍有待改進(jìn)。在物流配送領(lǐng)域,隨著移動設(shè)備端所產(chǎn)生的越來越多的交易量,不斷產(chǎn)生的巨量數(shù)據(jù)也需要越來越高效實用的數(shù)據(jù)處理方式,而在物流領(lǐng)域,物流大數(shù)據(jù)資產(chǎn)管理也成為優(yōu)化物流管理和提高配送效率的新技術(shù)手段。本文提供的一種資產(chǎn)信息采集通道和數(shù)據(jù)挖掘分類算法解決方案。資產(chǎn)信息采集通道充分利用現(xiàn)有移動設(shè)備,通過OTG連線實現(xiàn)移動設(shè)備通過USB接口與RFID模塊的連接,以網(wǎng)站訪問和移動設(shè)備應(yīng)用程序兩種方式進(jìn)行數(shù)據(jù)管理,滿足不同客戶的需求。當(dāng)前以手機(jī)為主的移動設(shè)備是互聯(lián)網(wǎng)大潮的趨勢之一,綜合手機(jī)端應(yīng)用是移動業(yè)務(wù)的重要載體,并以RFID讀寫模塊作為數(shù)據(jù)采集的關(guān)鍵部分。本論文提出一種新的解決方案,并提供了多種工作模式,移動性好,附加投資成本低,其充分利用了高性能手機(jī)和移動網(wǎng)絡(luò)優(yōu)勢,使基于RFID的資產(chǎn)管理更加便捷。在大數(shù)據(jù)來臨時,數(shù)據(jù)作為新時代的資產(chǎn)和價值體現(xiàn),已經(jīng)越來越成為潛在價值的直接來源,如何有效、高效和有意義地挖掘和處理龐大的數(shù)據(jù)成為當(dāng)今數(shù)據(jù)處理的主要問題,而分類算法作為數(shù)據(jù)挖掘的關(guān)鍵技術(shù),已經(jīng)廣泛應(yīng)用TB,PB級別的數(shù)據(jù)分析和處理中。數(shù)據(jù)在完成采集和存儲,且在未來物聯(lián)網(wǎng)中多種格式或制式的數(shù)據(jù)匯成非結(jié)構(gòu)數(shù)據(jù)后,直接面臨的問題就是在體量龐雜的數(shù)據(jù)庫中尋找有價值的數(shù)據(jù)并為人們所用,繼而為人們的進(jìn)一步行動提供建議或預(yù)測。資產(chǎn)信息在完成數(shù)據(jù)化過程后,需要進(jìn)行數(shù)據(jù)預(yù)處理、數(shù)據(jù)集成與挖掘和結(jié)果輸出三個主要部分。本文研究了大數(shù)據(jù)技術(shù)在資產(chǎn)管理上的應(yīng)用,以及數(shù)據(jù)挖掘中,應(yīng)用基于一種超球覆蓋仿生模式識別的分類算法,以及該算法在數(shù)據(jù)分類中的應(yīng)用,分析該算法相較于其它算法的優(yōu)缺點比較,以及在較大數(shù)據(jù)量時的算法性能。研究物流資產(chǎn)管理所應(yīng)用的大數(shù)據(jù)處理算法及其性能以改進(jìn)數(shù)據(jù)挖掘算法效率。對數(shù)據(jù)挖掘中分類算法的研究有助于數(shù)據(jù)處理時算法運(yùn)算時間和運(yùn)行效率的改善,在分類中也要平衡分類準(zhǔn)確度和運(yùn)算速度。本文所提出的基于RFID的資產(chǎn)信息采集通道是應(yīng)用移動終端和移動互聯(lián)網(wǎng)的一種終端數(shù)據(jù)采集方式,基于超球串的仿生模式識別分類算法應(yīng)用于數(shù)據(jù)挖掘中,則在一定程度上對數(shù)據(jù)分類算法性能有一定改善和提高。
[Abstract]:The rapid development of mobile Internet provides more opportunities for asset management technology, such as the Internet of things, cloud computing and big data technology.The wide application of RFID technology in the field of logistics makes the technology more mature, and the arrival of big data also introduces the logistics industry into a new development space.Although RFID technology has many applications in asset management, its mobility and convenience still need to be improved.In the field of logistics and distribution, with more and more trading volume generated by mobile devices, the huge amount of data that is constantly generated also needs more and more efficient and practical data processing, while in the field of logistics,Logistics big data asset management has also become a new technical means to optimize logistics management and improve distribution efficiency.This paper provides a solution of asset information collection channel and data mining classification algorithm.The asset information collection channel makes full use of the existing mobile devices, realizes the connection between the mobile device and the RFID module through the USB interface through the OTG connection, and manages the data in two ways: website access and mobile device application.Meet the needs of different customers.At present, mobile devices mainly based on mobile phone are one of the trends of the Internet. The integrated mobile phone application is an important carrier of mobile services, and the RFID reading and writing module is the key part of data acquisition.This paper proposes a new solution and provides a variety of working modes with good mobility and low additional investment cost. It makes full use of the advantages of high performance mobile phone and mobile network and makes asset management based on RFID more convenient.With the arrival of big data, data, as the embodiment of assets and value in the new era, has become a direct source of potential value. How to mine and deal with huge data effectively, efficiently and meaningfully has become the main problem of data processing nowadays.As the key technology of data mining, classification algorithm has been widely used in data analysis and processing.When data is collected and stored, and many formats or formats of data in the Internet of things are assembled into unstructured data in the future, the immediate problem is to find valuable data in a large and complex database and to use it for people.In turn, provide suggestions or forecasts for further action.After completing the process of data processing, asset information needs three main parts: data preprocessing, data integration and mining, and result output.This paper studies the application of big data technology in asset management, the classification algorithm based on hypersphere covering bionic pattern recognition in data mining, and the application of this algorithm in data classification.The advantages and disadvantages of the algorithm compared with other algorithms are analyzed, and the performance of the algorithm in large amount of data is also analyzed.In order to improve the efficiency of data mining algorithm, big data algorithm and its performance in logistics asset management are studied.The research of classification algorithm in data mining is helpful to improve the operation time and efficiency of the algorithm in data processing, and to balance the accuracy and speed of classification in classification.The asset information acquisition channel based on RFID proposed in this paper is a kind of terminal data acquisition method based on mobile terminal and mobile Internet. The bionic pattern recognition and classification algorithm based on hypersphere string is applied to data mining.To some extent, the performance of data classification algorithm is improved.
【學(xué)位授予單位】：上海師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP391.44;TP311.13

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