基于公共交通的城市感知網(wǎng)絡(luò)中數(shù)據(jù)收集技術(shù)研究
發(fā)布時間:2018-12-11 21:19
【摘要】:隨著城市化的快速發(fā)展,傳統(tǒng)的城市感知方法已不能滿足人們?nèi)找嬖鲩L的需求,更智能化的智慧城市是城市的發(fā)展趨勢。構(gòu)建智慧城市的基礎(chǔ)是高可靠性、高穩(wěn)定性和高覆蓋率的城市感知網(wǎng)絡(luò),該網(wǎng)絡(luò)是把人、車、路、建筑物及環(huán)境等狀態(tài)信息真正地融入到動態(tài)城市運行環(huán)境中來,從而提升城市運行效率和服務(wù)水平。本文對城市感知網(wǎng)絡(luò)中如何高效并可靠地進行數(shù)據(jù)收集問題進行了研究。 首先對論文所涉及的城市數(shù)據(jù)收集技術(shù)進行了分析介紹。本文中的數(shù)據(jù)收集技術(shù)按照數(shù)據(jù)傳輸?shù)倪^程分為數(shù)據(jù)采集和數(shù)據(jù)傳輸匯聚兩個階段,對數(shù)據(jù)采集技術(shù)中固定節(jié)點采集和移動節(jié)點采集方式的特點及存在的問題進行了分析;數(shù)據(jù)傳輸方式主要包括有線傳輸及無線傳輸,包含骨干網(wǎng)與接入網(wǎng)兩種網(wǎng)絡(luò);在數(shù)據(jù)匯聚技術(shù)部分主要介紹了基于移動匯聚節(jié)點的數(shù)據(jù)匯聚方式。以上內(nèi)容為后文所描述的基于公共交通的城市感知模型提供了理論基礎(chǔ)。 分別研究分析了基于公共交通的車路協(xié)同感知技術(shù)和車路信息交互技術(shù)。在此基礎(chǔ)上提出了基于公共交通的車路協(xié)同感知模型,并進行了詳細(xì)的分析介紹。 為實現(xiàn)高效并可靠的城市感知數(shù)據(jù)收集,本文基于公共交通的城市感知模型,提出了采用SDMA技術(shù)中線性解相關(guān)技術(shù)的城市感知數(shù)據(jù)收集方案。目的是減少城市感知網(wǎng)絡(luò)的能量消耗,縮短數(shù)據(jù)傳輸時間,提高網(wǎng)絡(luò)性能及傳輸效率。通過仿真驗證與結(jié)果分析,驗證了該方案可以實現(xiàn)更加高效地進行城市數(shù)據(jù)收集。
[Abstract]:With the rapid development of urbanization, the traditional urban perception method can not meet the increasing needs of people, more intelligent city is the development trend of the city. The foundation of a smart city is a city perception network with high reliability, high stability and high coverage. The network is a real integration of people, cars, roads, buildings and environment into the dynamic urban environment. In order to improve the efficiency of urban operation and service level. This paper studies how to collect data efficiently and reliably in urban perceptual network. Firstly, the urban data collection technology involved in this paper is analyzed and introduced. The data collection technology in this paper is divided into two stages according to the process of data transmission: data acquisition and data transmission convergence. The characteristics and problems of fixed node acquisition and mobile node acquisition in data acquisition technology are analyzed. The data transmission mode mainly includes wired transmission and wireless transmission, including backbone network and access network. In the part of data convergence technology, the data convergence mode based on mobile convergence node is mainly introduced. The above provides a theoretical basis for the urban perception model based on public transport described later. This paper studies and analyzes the vehicle-road cooperative sensing technology and the vehicle-road information interaction technology based on public transportation. On the basis of this, the model of vehicle-road cooperative perception based on public transportation is proposed and analyzed in detail. In order to achieve efficient and reliable urban perceptual data collection, based on the urban perception model of public transport, this paper proposes a method of urban perceptual data collection based on linear decoupling in SDMA technology. The purpose of this paper is to reduce the energy consumption, shorten the time of data transmission, and improve the network performance and transmission efficiency. Through simulation and result analysis, it is verified that this scheme can collect urban data more efficiently.
【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】:U495;TP274.2
本文編號:2373237
[Abstract]:With the rapid development of urbanization, the traditional urban perception method can not meet the increasing needs of people, more intelligent city is the development trend of the city. The foundation of a smart city is a city perception network with high reliability, high stability and high coverage. The network is a real integration of people, cars, roads, buildings and environment into the dynamic urban environment. In order to improve the efficiency of urban operation and service level. This paper studies how to collect data efficiently and reliably in urban perceptual network. Firstly, the urban data collection technology involved in this paper is analyzed and introduced. The data collection technology in this paper is divided into two stages according to the process of data transmission: data acquisition and data transmission convergence. The characteristics and problems of fixed node acquisition and mobile node acquisition in data acquisition technology are analyzed. The data transmission mode mainly includes wired transmission and wireless transmission, including backbone network and access network. In the part of data convergence technology, the data convergence mode based on mobile convergence node is mainly introduced. The above provides a theoretical basis for the urban perception model based on public transport described later. This paper studies and analyzes the vehicle-road cooperative sensing technology and the vehicle-road information interaction technology based on public transportation. On the basis of this, the model of vehicle-road cooperative perception based on public transportation is proposed and analyzed in detail. In order to achieve efficient and reliable urban perceptual data collection, based on the urban perception model of public transport, this paper proposes a method of urban perceptual data collection based on linear decoupling in SDMA technology. The purpose of this paper is to reduce the energy consumption, shorten the time of data transmission, and improve the network performance and transmission efficiency. Through simulation and result analysis, it is verified that this scheme can collect urban data more efficiently.
【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】:U495;TP274.2
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