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

【摘要】：無(wú)線傳感網(wǎng),直觀的說(shuō),就是以現(xiàn)代科技的方法對(duì)沒(méi)有生命的各類生活中的設(shè)備進(jìn)行改造,并進(jìn)行信息的傳遞和交互。自從被提出以來(lái),無(wú)線傳感網(wǎng)迅速引起全世界各個(gè)國(guó)家和地區(qū)的重視,借助于相關(guān)支撐技術(shù)的發(fā)展、國(guó)家機(jī)器的推動(dòng)和難以量化的市場(chǎng)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(guó)防安全等各個(gè)領(lǐng)域,取得了許多重要的成就,并帶來(lái)了深刻的變革。 本文研究基于無(wú)線傳感網(wǎng)定位技術(shù)的車流量監(jiān)測(cè)系統(tǒng),在實(shí)驗(yàn)室現(xiàn)有的城市管理項(xiàng)目平臺(tái)和研究成果基礎(chǔ)上進(jìn)行推進(jìn)性研究和拓展,通過(guò)無(wú)線傳感網(wǎng)定位技術(shù)對(duì)區(qū)域內(nèi)的車輛進(jìn)行動(dòng)態(tài)定位來(lái)捕捉車輛在具體時(shí)刻的位置信息,并結(jié)合智能交通領(lǐng)域的知識(shí),以此為依托設(shè)計(jì)和開發(fā)了車流量監(jiān)測(cè)系統(tǒng),實(shí)現(xiàn)了對(duì)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(wú)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(duì)無(wú)線傳感網(wǎng)定位技術(shù)進(jìn)行了介紹,通過(guò)對(duì)不同的定位技術(shù)的優(yōu)缺點(diǎn)進(jìn)行對(duì)比,并結(jié)合實(shí)驗(yàn)室無(wú)線傳感網(wǎng)平臺(tái)的現(xiàn)狀和系統(tǒng)實(shí)際需求,通過(guò)借鑒RSS算法的思想對(duì)質(zhì)心定位算法進(jìn)行優(yōu)化,使優(yōu)化過(guò)的算法在精度和效率可以為本課題所用；接下來(lái),從需求分析開始,結(jié)合無(wú)線傳感網(wǎng)平臺(tái)和系統(tǒng)的軟硬件實(shí)際情況,得出了車流量監(jiān)測(cè)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(gè)模塊；然后,對(duì)系統(tǒng)進(jìn)行詳細(xì)設(shè)計(jì),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(gè)視圖為四個(gè)不同的視角對(duì)系統(tǒng)的各個(gè)模塊進(jìn)行了詳細(xì)設(shè)計(jì),最后采用了百度地圖API和SSH結(jié)合的方式對(duì)系統(tǒng)進(jìn)行了編碼實(shí)現(xiàn),并進(jìn)行了完整的測(cè)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(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP212.9;TN929.5;TP274

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