本文關(guān)鍵詞：基于ZigBee技術(shù)的智能交通系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)　出處：《東南大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 智能交通 ZigBee Z-Stack協(xié)議棧 雙頻通信 車牌識別

【摘要】：隨著汽車工業(yè)的發(fā)展,現(xiàn)有的交通系統(tǒng)已經(jīng)逐漸無法承載日益增多的私家車交通需求,尤其是在靜態(tài)交通停車場智能化方面的缺陷,給城市交通帶來巨大的壓力。傳統(tǒng)停車場存在停車刷卡、人工收費(fèi)、車位難尋等問題。目前已經(jīng)實(shí)現(xiàn)的智能交通系統(tǒng)主要面臨的問題有功能單一、布線復(fù)雜、功耗大、網(wǎng)絡(luò)拓?fù)涔潭ǖ取５凸�、無線通信、動態(tài)組網(wǎng)、多功能、不停車收費(fèi)和人性化成為智能停車場的主要發(fā)展方向。本文基于ZigBee技術(shù),針對當(dāng)前停車場系統(tǒng)存在的問題,提出了一套完整的智能交通系統(tǒng)解決方案,主要設(shè)計(jì)了車位檢測系統(tǒng)和停車引導(dǎo)系統(tǒng),同時實(shí)現(xiàn)了反向?qū)ぼ嚨墓δ�。在車位探測系統(tǒng)中,設(shè)計(jì)使用地磁傳感和超聲波測距技術(shù)共同檢測車位是否被占用,保證車位探測的準(zhǔn)確性；在停車引導(dǎo)系統(tǒng)中,設(shè)計(jì)語音基站和語音卡,語音基站通過與語音卡的無線通信,實(shí)時引導(dǎo)停車路線,通過語音芯片實(shí)現(xiàn)語音播報(bào)�；赯-Stack協(xié)議棧對系統(tǒng)進(jìn)行網(wǎng)絡(luò)設(shè)計(jì),深入分析了Z-Stack工作原理,實(shí)現(xiàn)ZigBee的網(wǎng)絡(luò)通信,通過控制網(wǎng)絡(luò)拓?fù)浔ＷC網(wǎng)絡(luò)的穩(wěn)定,通過第二IEEE地址增強(qiáng)網(wǎng)絡(luò)的抗干擾性。對于使用電池供電的模塊,考慮到功耗問題,設(shè)計(jì)了雙頻通信,即低頻喚醒,高頻通信。模塊在通信距離范圍之外進(jìn)入睡眠模式,只在靠近基站,經(jīng)過低頻喚醒后進(jìn)入工作模式,使用高頻進(jìn)行通信,在保證數(shù)據(jù)可靠通信的同時,最大限度的降低了模塊功耗。最后設(shè)計(jì)了智能交通系統(tǒng)上位機(jī)管理軟件,實(shí)現(xiàn)的功能包括：自動計(jì)費(fèi)、反向?qū)ぼ嚭蛯?shí)時監(jiān)控。此外,本文研究了車牌識別算法,并將其移植到系統(tǒng)中,通過將車牌號與停車地磁號綁定,實(shí)現(xiàn)反向?qū)ぼ嚬δ�。反�?fù)測試顯示,該系統(tǒng)能可靠工作,為未來智能交通系統(tǒng)的實(shí)用化提供了有效的參考方案和設(shè)計(jì)實(shí)例。
[Abstract]:With the development of automobile industry, the existing traffic system has been unable to bear the increasing private car traffic demand, especially in the static traffic parking intelligent aspects of defects. Traditional parking lot has many problems such as parking card, manual charge, parking space difficult to find, etc. At present, the main problems faced by the existing intelligent transportation system are single function and complex wiring. High power consumption, fixed network topology, low power consumption, wireless communication, dynamic networking, multi-function, no parking fees and humanization become the main development direction of intelligent parking. This paper is based on ZigBee technology. Aiming at the existing problems of parking lot system, this paper puts forward a complete solution of intelligent transportation system, mainly designs the parking space detection system and parking guidance system. At the same time, the function of reverse car searching is realized. In the parking detection system, geomagnetic sensing and ultrasonic ranging technology are used to jointly detect whether the parking space is occupied or not, so as to ensure the accuracy of the parking space detection. In the parking guidance system, design voice base station and voice card, voice base station through wireless communication with voice card, real-time guide the parking route. The system is designed based on Z-Stack protocol stack. The working principle of Z-Stack is deeply analyzed and the network communication of ZigBee is realized. The stability of the network is guaranteed by controlling the network topology, and the anti-interference of the network is enhanced by the second IEEE address. For the battery-powered module, considering the problem of power consumption, a dual-frequency communication is designed, that is, low-frequency wake-up. High frequency communication. The module enters sleep mode outside the range of communication distance, only near the base station, after the low frequency wake-up into the working mode, using high frequency to communicate, while ensuring the reliable communication of data. The module power consumption is minimized. Finally, an intelligent transportation system management software is designed. The functions include automatic billing, reverse vehicle searching and real-time monitoring. In addition, the license plate recognition algorithm is studied in this paper. And it is transplanted to the system, by binding the license plate number to the stop geomagnetic number, the function of reverse vehicle tracing is realized. The repeated tests show that the system can work reliably. It provides an effective reference scheme and design example for the practical application of intelligent transportation system in the future.
【學(xué)位授予單位】：東南大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN92;U495

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本文編號：1366964