本文選題：無線傳感網(wǎng)　切入點：定位　出處：《北京郵電大學(xué)》2015年碩士論文

【摘要】：無線傳感網(wǎng),直觀的說,就是以現(xiàn)代科技的方法對沒有生命的各類生活中的設(shè)備進行改造,并進行信息的傳遞和交互。自從被提出以來,無線傳感網(wǎng)迅速引起全世界各個國家和地區(qū)的重視,借助于相關(guān)支撐技術(shù)的發(fā)展、國家機器的推動和難以量化的市場需求,得到井噴式發(fā)展,并迅速染指于物流管理、智能交通、環(huán)境管理、醫(yī)療衛(wèi)生和國防安全等各個領(lǐng)域,取得了許多重要的成就,并帶來了深刻的變革。 本文研究基于無線傳感網(wǎng)定位技術(shù)的車流量監(jiān)測系統(tǒng),在實驗室現(xiàn)有的城市管理項目平臺和研究成果基礎(chǔ)上進行推進性研究和拓展,通過無線傳感網(wǎng)定位技術(shù)對區(qū)域內(nèi)的車輛進行動態(tài)定位來捕捉車輛在具體時刻的位置信息,并結(jié)合智能交通領(lǐng)域的知識,以此為依托設(shè)計和開發(fā)了車流量監(jiān)測系統(tǒng),實現(xiàn)了對特定區(qū)域的設(shè)備管理、車輛信息管理和該區(qū)域內(nèi)的車流量狀態(tài)監(jiān)控。 基于無線傳感網(wǎng)定位技術(shù)是該系統(tǒng)的一大特色,也是系統(tǒng)可靠性和準(zhǔn)確性的前提。因此,本文首先對無線傳感網(wǎng)定位技術(shù)進行了介紹,通過對不同的定位技術(shù)的優(yōu)缺點進行對比,并結(jié)合實驗室無線傳感網(wǎng)平臺的現(xiàn)狀和系統(tǒng)實際需求,通過借鑒RSS算法的思想對質(zhì)心定位算法進行優(yōu)化,使優(yōu)化過的算法在精度和效率可以為本課題所用；接下來,從需求分析開始,結(jié)合無線傳感網(wǎng)平臺和系統(tǒng)的軟硬件實際情況,得出了車流量監(jiān)測系統(tǒng)應(yīng)該具備的功能需求和非功能需求,劃分了系統(tǒng)的各個模塊；然后,對系統(tǒng)進行詳細(xì)設(shè)計,以邏輯架構(gòu)、物理架構(gòu)、數(shù)據(jù)架構(gòu)和開發(fā)架構(gòu)這四個視圖為四個不同的視角對系統(tǒng)的各個模塊進行了詳細(xì)設(shè)計,最后采用了百度地圖API和SSH結(jié)合的方式對系統(tǒng)進行了編碼實現(xiàn),并進行了完整的測試,取得了令人滿意的成果。
[Abstract]:Wireless sensor network (WSN), intuitively, is to transform all kinds of inanimate equipments in life by modern science and technology, and to transmit and interact information.Since it was put forward, the wireless sensor network has attracted the attention of all countries and regions in the world. With the help of the development of relevant supporting technology, the promotion of the state machine and the difficult to quantify the market demand, the wireless sensor network has got the blowout development.And quickly involved in logistics management, intelligent transportation, environmental management, health care and national defense security and other fields, has made many important achievements, and brought profound changes.In this paper, the vehicle flow monitoring system based on the wireless sensor network positioning technology is studied and expanded on the basis of the existing urban management project platform and research results in the laboratory.A vehicle flow monitoring system is designed and developed based on wireless sensor network (WSN) positioning technology to capture the position information of the vehicle at specific time and combine with the knowledge of intelligent transportation, based on which the vehicle flow monitoring system is designed and developed.The equipment management, vehicle information management and traffic flow state monitoring in the specific area are realized.Location technology based on wireless sensor network is a major feature of the system, and is also the premise of system reliability and accuracy.Therefore, this paper first introduces the wireless sensor network positioning technology, through the comparison of the advantages and disadvantages of different positioning technologies, and combined with the laboratory wireless sensor network platform and the actual needs of the system.By using the idea of RSS algorithm for reference to optimize the centroid location algorithm, the optimized algorithm can be used in accuracy and efficiency. Then, starting from the requirement analysis, combining with the actual situation of software and hardware of wireless sensor network platform and system,The functional and non-functional requirements of the vehicle flow monitoring system are obtained, and each module of the system is divided. Then, the system is designed in detail, with the logical structure and the physical structure.The four views of data architecture and development architecture are designed in detail for each module of the system from four different perspectives. Finally, the system is coded and implemented by combining Baidu Map API and SSH, and the complete test is carried out.Satisfactory results have been achieved.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP212.9;TN929.5;TP274

【參考文獻】

相關(guān)期刊論文 前10條

1 彭宇;王丹;;無線傳感器網(wǎng)絡(luò)定位技術(shù)綜述[J];電子測量與儀器學(xué)報;2011年05期

2 宋穎華;交通檢測技術(shù)及其發(fā)展[J];公路;2000年09期

3 羅曉輝,王忠仁;遙感微波檢測器(RTMS)簡介[J];公路交通科技;1997年04期

4 高敬紅;楊宜民;;道路交通車輛檢測技術(shù)及發(fā)展綜述[J];公路交通技術(shù);2012年01期

5 劉東;ITS中的車輛檢測技術(shù)[J];中國人民公安大學(xué)學(xué)報(自然科學(xué)版);2000年04期

6 錢志鴻;王義君;;面向物聯(lián)網(wǎng)的無線傳感器網(wǎng)絡(luò)綜述[J];電子與信息學(xué)報;2013年01期

7 陸化普;李瑞敏;;城市智能交通系統(tǒng)的發(fā)展現(xiàn)狀與趨勢[J];工程研究-跨學(xué)科視野中的工程;2014年01期

8 文春武;宋杰;姚家振;;基于RSSI校正的無線傳感器網(wǎng)絡(luò)定位算法[J];傳感器與微系統(tǒng);2014年12期

9 王振朝;張琦;張峰;;基于RSSI測距的改進加權(quán)質(zhì)心定位算法[J];電測與儀表;2014年21期

10 王新芳;張冰;馮友兵;;基于粒子群優(yōu)化的改進加權(quán)質(zhì)心定位算法[J];計算機工程;2012年01期

相關(guān)博士學(xué)位論文 前1條

1 孫順遠(yuǎn);無線傳感器網(wǎng)絡(luò)定位算法及應(yīng)用研究[D];江南大學(xué);2014年

，

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