基于RFID和Zigbee技術(shù)的智能泊車管理系統(tǒng)研究
發(fā)布時間：2018-12-30 20:20
【摘要】：隨著經(jīng)濟的發(fā)展,人們生活水平的提高,私家車作為必不可少的交通工具呈現(xiàn)出猛烈的增長趨勢,由此帶來的交通問題也越來越嚴(yán)重,加上目前的泊車管理技術(shù)普遍還不高,泊車管理難的問題也日益凸顯。因此為了改善停車場的管理,提高泊車效率,研究智能泊車系統(tǒng)具有重要意義。 本文針對泊車管理系統(tǒng)中的門禁識別和車位監(jiān)控等問題提出了一個智能泊車管理系統(tǒng)的設(shè)計方案,該方案綜合利用了物聯(lián)網(wǎng)無線傳感器技術(shù)(RFID和Zigbee)、車牌識別技術(shù)和嵌入式跨平臺界面開發(fā)技術(shù)等。具體方法是：首先,搭建一個硬件開發(fā)環(huán)境,包括UHF RFID雙通道讀卡模塊、攝像頭模塊、閘機模塊、車位模塊和主控制器模塊。其次,設(shè)計UHF RFID讀卡器與主控制器(Intel PXA270)的程序接口,實現(xiàn)車輛自動識別和收費；然后是基于MATLAB設(shè)計車牌識別程序,其中字符識別部分利用極限學(xué)習(xí)機(ELM)-單隱層前饋神經(jīng)網(wǎng)絡(luò)進(jìn)行車牌訓(xùn)練和識別；再然后利用Zigbee無線傳感器技術(shù)檢測車位和控制閘機,通過Zigbee節(jié)點的配置,使Zigbee協(xié)調(diào)器連接至主控制器進(jìn)行信息的采集和匯總,Zigbee路由節(jié)點分別外接車位傳感器和閘機進(jìn)行車位檢測和閘機控制；最后搭建嵌入式交叉編譯環(huán)境,在PC機和嵌入式處理器PXA270之間進(jìn)行跨平臺Qt界面開發(fā)。 該系統(tǒng)利用物聯(lián)網(wǎng)技術(shù)成功實現(xiàn)把射頻卡信息、車位信息傳遞給主控制器；而且基于極限學(xué)習(xí)機的車牌識別具有訓(xùn)練簡單、識別速度快、準(zhǔn)確率高等優(yōu)點；主控制器上設(shè)計的監(jiān)控系統(tǒng)能夠顯示門禁用戶信息、出入時間、車牌號碼、繳費情況、閘機控制情況、車位占用狀況等。該系統(tǒng)具有造價低、效率高、安全性好等優(yōu)點,而且物聯(lián)網(wǎng)的快速發(fā)展使其具有很好的發(fā)展前景。
[Abstract]:With the development of economy and the improvement of people's living standard, private cars, as an indispensable means of transportation, have shown a fierce growth trend, and the traffic problems caused by them are becoming more and more serious, and the current parking management technology is generally not high. The problem of difficult parking management is also increasingly prominent. In order to improve parking management and parking efficiency, it is important to study intelligent parking system. In this paper, a design scheme of intelligent parking management system is put forward, which combines the wireless sensor technology (RFID and Zigbee),) of the Internet of things, aiming at the problems of door guard identification and parking space monitoring in parking management system. License plate recognition technology and embedded cross-platform interface development technology. The specific methods are as follows: first, build a hardware development environment, including UHF RFID dual-channel card reading module, camera module, gate module, parking module and main controller module. Secondly, the program interface between the UHF RFID card reader and the main controller (Intel PXA270) is designed to realize the automatic identification and charging of the vehicle. Secondly, the license plate recognition program is designed based on MATLAB, in which the character recognition part uses the extreme learning machine (ELM)-single hidden layer feedforward neural network to train and recognize the license plate. Then using Zigbee wireless sensor technology to detect parking space and control gate, through the configuration of Zigbee nodes, the Zigbee coordinator is connected to the main controller to collect and aggregate the information. The Zigbee routing node is connected with the parking space sensor and the gate respectively to detect the parking space and control the gate. Finally, an embedded cross-compiling environment is built, and the cross-platform Qt interface is developed between the PC machine and the embedded processor PXA270. The system uses the technology of Internet of things to transfer the information of RF card and parking space to the main controller, and the license plate recognition based on LLM has the advantages of simple training, fast recognition speed, high accuracy and so on. The monitoring system designed on the main controller can display the information of the entrance and exit users, the access time, the license plate number, the payment of fees, the control of the gate, the occupation of the parking space, and so on. The system has the advantages of low cost, high efficiency and good security, and the rapid development of the Internet of things makes it has a good development prospects.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP315;U491.7;U495
本文編號：2396089
[Abstract]:With the development of economy and the improvement of people's living standard, private cars, as an indispensable means of transportation, have shown a fierce growth trend, and the traffic problems caused by them are becoming more and more serious, and the current parking management technology is generally not high. The problem of difficult parking management is also increasingly prominent. In order to improve parking management and parking efficiency, it is important to study intelligent parking system. In this paper, a design scheme of intelligent parking management system is put forward, which combines the wireless sensor technology (RFID and Zigbee),) of the Internet of things, aiming at the problems of door guard identification and parking space monitoring in parking management system. License plate recognition technology and embedded cross-platform interface development technology. The specific methods are as follows: first, build a hardware development environment, including UHF RFID dual-channel card reading module, camera module, gate module, parking module and main controller module. Secondly, the program interface between the UHF RFID card reader and the main controller (Intel PXA270) is designed to realize the automatic identification and charging of the vehicle. Secondly, the license plate recognition program is designed based on MATLAB, in which the character recognition part uses the extreme learning machine (ELM)-single hidden layer feedforward neural network to train and recognize the license plate. Then using Zigbee wireless sensor technology to detect parking space and control gate, through the configuration of Zigbee nodes, the Zigbee coordinator is connected to the main controller to collect and aggregate the information. The Zigbee routing node is connected with the parking space sensor and the gate respectively to detect the parking space and control the gate. Finally, an embedded cross-compiling environment is built, and the cross-platform Qt interface is developed between the PC machine and the embedded processor PXA270. The system uses the technology of Internet of things to transfer the information of RF card and parking space to the main controller, and the license plate recognition based on LLM has the advantages of simple training, fast recognition speed, high accuracy and so on. The monitoring system designed on the main controller can display the information of the entrance and exit users, the access time, the license plate number, the payment of fees, the control of the gate, the occupation of the parking space, and so on. The system has the advantages of low cost, high efficiency and good security, and the rapid development of the Internet of things makes it has a good development prospects.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP315;U491.7;U495
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