【摘要】：隨著中國(guó)手機(jī)網(wǎng)民的數(shù)量不斷上升的趨勢(shì),移動(dòng)應(yīng)用的開發(fā)也是水漲船高。移動(dòng)應(yīng)用也以其功能強(qiáng)大、便捷性為絕大多數(shù)網(wǎng)民甚至一些企業(yè)帶來了更便利的生活方式和辦公方式。在移動(dòng)應(yīng)用逐漸形成一個(gè)大趨勢(shì)的形式下,一些對(duì)運(yùn)輸車輛的運(yùn)輸過程有監(jiān)控要求的大型生產(chǎn)企業(yè)和相關(guān)的承運(yùn)商都把目光放在了移動(dòng)監(jiān)控的功能上。如何實(shí)現(xiàn)企業(yè)用戶和物流承運(yùn)商通過自己的手機(jī)就可以監(jiān)測(cè)并管理運(yùn)輸司機(jī)的問題,就是本系統(tǒng)所研究的問題。本系統(tǒng)的建設(shè)背景是太鋼物流實(shí)時(shí)監(jiān)測(cè)平臺(tái)項(xiàng)目,在該項(xiàng)目中,作者參與的主要工作是提出移動(dòng)GPS+Cell ID+網(wǎng)絡(luò)定位的混合定位方式、數(shù)據(jù)處理層中Hadoop數(shù)據(jù)處理架構(gòu)模型的搭建以及系統(tǒng)的負(fù)載測(cè)試工作。 大多數(shù)企業(yè)和運(yùn)輸服務(wù)業(yè)主以及運(yùn)貨司機(jī)的合作關(guān)系較松散,企業(yè)很難實(shí)現(xiàn)主動(dòng)、實(shí)時(shí)定位運(yùn)輸車輛的需求,如果企業(yè)自己建立覆蓋范圍較廣的監(jiān)控系統(tǒng)需要投入巨大資金�；谠朴�(jì)算的車輛遠(yuǎn)程實(shí)時(shí)監(jiān)測(cè)和管理系統(tǒng),不僅使企業(yè)避免了巨大的投資就可以實(shí)現(xiàn)主動(dòng)監(jiān)管貨物運(yùn)輸?shù)倪^程,而且結(jié)合移動(dòng)技術(shù),還使企業(yè)用戶實(shí)現(xiàn)了在企業(yè)移動(dòng)終端實(shí)時(shí)監(jiān)測(cè)司機(jī)位置的功能。 論文主要結(jié)合目前移動(dòng)終端多種定位功能的優(yōu)缺點(diǎn),將多種定位技術(shù)進(jìn)行有效的融合,揚(yáng)長(zhǎng)避短,實(shí)現(xiàn)全空間定位,而且實(shí)時(shí)將定位數(shù)據(jù)上傳到后臺(tái),作為企業(yè)用戶或承運(yùn)商用戶的定位依據(jù)。 系統(tǒng)基于云計(jì)算的三層服務(wù)架構(gòu),實(shí)現(xiàn)了三層架構(gòu)的建設(shè),而且建設(shè)成為一個(gè)車輛位置實(shí)時(shí)監(jiān)測(cè)的云平臺(tái),使不同用戶可以按需購(gòu)買或租賃系統(tǒng)的功能。通過將云計(jì)算與移動(dòng)技術(shù)相結(jié)合,實(shí)現(xiàn)將移動(dòng)測(cè)量端的數(shù)據(jù)傳送到系統(tǒng)云平臺(tái),并且實(shí)現(xiàn)企業(yè)用戶或承運(yùn)商用戶通過移動(dòng)客戶終端實(shí)時(shí)監(jiān)測(cè)司機(jī)用戶端的功能。系統(tǒng)在云計(jì)算的架構(gòu)中結(jié)合Hadoop分布式處理技術(shù),通過Hadoop的大數(shù)據(jù)處理能力,使企業(yè)用戶可以在海量定位數(shù)據(jù)中挖掘到有效信息,并且提高了系統(tǒng)的整體數(shù)據(jù)處理速度和能力。
[Abstract]:With the increasing number of mobile phone users in China, the development of mobile applications is rising. Mobile applications also bring a more convenient way of life and office for the vast majority of Internet users and even some enterprises because of its powerful function and convenience. In the form of a general trend of mobile applications, some large production enterprises and related carriers who have the requirement of monitoring the transportation process of transport vehicles have focused their attention on the function of mobile monitoring. How to realize the problem that enterprise users and logistics carriers can monitor and manage transport drivers through their own mobile phones is the problem studied in this system. The background of this system is the real time monitoring platform project of logistics in Taigang. In this project, the main work of the author is to put forward the hybrid positioning mode of mobile GPS Cell ID network positioning. The construction of Hadoop data processing architecture model and the load test of the system in data processing layer. Most enterprises have looser cooperative relationship with transport service owners and cargo drivers, and it is difficult for enterprises to take the initiative to locate the demand of transport vehicles in real time. If the enterprises themselves set up a wide range of monitoring systems, they need to invest a great deal of money. The vehicle remote real-time monitoring and management system based on cloud computing not only enables enterprises to realize the process of actively supervising the transportation of goods without huge investment, but also combines mobile technology. It also enables the enterprise users to monitor the driver's position in the enterprise mobile terminal in real time. This paper mainly combines the advantages and disadvantages of various positioning functions of the mobile terminal, effectively integrates the various positioning technologies, takes advantage of the advantages and circumvent the weaknesses, realizes the full space positioning, and uploads the positioning data to the background in real time. As an enterprise user or carrier user positioning basis. Based on the three-tier service architecture of cloud computing, the system realizes the construction of three-tier architecture and becomes a cloud platform for real-time monitoring of vehicle location, which enables different users to purchase or lease the functions of the system on demand. Through the combination of cloud computing and mobile technology, the data of mobile measurement terminal can be transferred to the cloud platform of the system, and the function of real-time monitoring driver user side by mobile customer terminal can be realized by enterprise users or carrier users. The system combines the Hadoop distributed processing technology in the cloud computing architecture, through the Hadoop's big data processing ability, enables the enterprise user to mine the effective information in the massive localization data, and improves the whole data processing speed and the ability of the system.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：U495

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