本文選題：地下停車場(chǎng) + 路徑規(guī)劃��； 參考：《山東建筑大學(xué)》2015年碩士論文

【摘要】：隨著汽車數(shù)量的高速增長(zhǎng),城市交通問(wèn)題隨之而來(lái),“停車難”便是諸多城市交通問(wèn)題之一。為了解決停車難的問(wèn)題,城市中建設(shè)的大型地下停車場(chǎng)數(shù)量不斷增多,不僅方便了停車,而且節(jié)約了地上空間,然而傳統(tǒng)的停車場(chǎng)管理系統(tǒng)由于智能化程度較低,已經(jīng)不能滿足大型地下停車場(chǎng)的需求。傳統(tǒng)的停車場(chǎng)管理系統(tǒng)主要存在以下問(wèn)題：1、地下停車場(chǎng)內(nèi)缺少必要的引導(dǎo)信息,使得用戶在尋找停車位時(shí)非常盲目,降低了停車場(chǎng)的運(yùn)行效率；2、所有車輛在進(jìn)出停車場(chǎng)時(shí)都必須停車刷卡,極易造成停車場(chǎng)出入口擁堵；3、停車場(chǎng)內(nèi)照明控制方式落后,存在大量的長(zhǎng)明燈,使得電能嚴(yán)重浪費(fèi)；4、停車場(chǎng)的安全性低,偷車現(xiàn)象時(shí)有發(fā)生。針對(duì)以上問(wèn)題,本文設(shè)計(jì)了一個(gè)停車場(chǎng)智能管理系統(tǒng),該系統(tǒng)利用無(wú)線射頻識(shí)別技術(shù)、車牌識(shí)別技術(shù)、ZigBee無(wú)線通信技術(shù)及傳感技術(shù),大大提高了系統(tǒng)的智能化程度。本文所做具體工作如下：(1)設(shè)計(jì)了智能燈光控制器,智能燈光控制器完成了對(duì)地下車庫(kù)內(nèi)車位信息的智能感知,同時(shí)為系統(tǒng)的燈光導(dǎo)航、燈光的智能控制提供了硬件基礎(chǔ)。車位節(jié)點(diǎn)通過(guò)智能燈光控制器完成了地下停車場(chǎng)內(nèi)車位信息的智能感知；車道節(jié)點(diǎn)通過(guò)將智能燈光控制器與RFID閱讀器結(jié)合在一起,完成了車道上車輛身份、位置及行駛姿態(tài)的檢測(cè),并將信息通過(guò)ZigBee上傳至數(shù)據(jù)處理中心,從而完成了對(duì)車輛的跟蹤；智能燈光控制器通過(guò)實(shí)時(shí)探測(cè)是否有車輛經(jīng)過(guò)并結(jié)合周圍照度實(shí)現(xiàn)對(duì)燈具的智能控制。(2)利用柵格法對(duì)停車場(chǎng)進(jìn)行環(huán)境建模,然后對(duì)Dijkstra算法進(jìn)行優(yōu)化,最終將改進(jìn)后的算法成功應(yīng)用到地下停車場(chǎng)的路徑規(guī)劃中。通過(guò)對(duì)優(yōu)化前后算法的對(duì)比,結(jié)果表明優(yōu)化后的算法不僅運(yùn)算速度快,而且有效提高了最優(yōu)路徑搜索成功的置信水平。(3)在停車場(chǎng)出入口處綜合運(yùn)用車牌識(shí)別技術(shù)與RFID技術(shù),在實(shí)現(xiàn)固定車輛不停車入庫(kù)的同時(shí)提高了停車場(chǎng)的安全性。(4)利用C#編程及SQL Server數(shù)據(jù)庫(kù)等技術(shù)完成了管理系統(tǒng)的上位機(jī)軟件設(shè)計(jì),其集車牌識(shí)別、車輛信息管理、最優(yōu)車位分配及路徑規(guī)劃于一體。最終,本文研究成果成功應(yīng)用在山東黃金集團(tuán)開(kāi)發(fā)的大型公共地下停車場(chǎng)內(nèi),有效提高了停車場(chǎng)的自動(dòng)化程度及運(yùn)行效率。
[Abstract]:With the rapid growth of the number of vehicles, urban traffic problems, "parking difficulties" is one of many urban traffic problems. In order to solve the problem of parking difficulties, the number of large underground parking lots built in the city is increasing, which not only facilitates parking, but also saves ground space. However, the traditional parking management system is less intelligent. The demand for a large underground parking lot can no longer be met. The traditional parking lot management system mainly has the following problem: 1. The underground parking lot lacks the necessary guidance information, which makes the users very blind when looking for parking space. The running efficiency of parking lot is reduced by 2%, all vehicles must stop and swipe their cards when entering and leaving the parking lot, which can easily cause traffic jam at the entrance and exit of parking lot, the lighting control mode in the parking lot is backward, and there are a lot of long lights in the parking lot. Make electric energy serious waste, parking lot security is low, car theft phenomenon has occurred from time to time. In order to solve the above problems, a parking lot intelligent management system is designed in this paper. The system uses radio frequency identification technology, license plate recognition technology, ZigBee wireless communication technology and sensing technology, which greatly improves the intelligence of the system. The main work of this paper is as follows: 1) the intelligent light controller is designed. The intelligent light controller realizes the intelligent perception of the parking space information in the underground garage. At the same time, it provides the hardware basis for the lighting navigation and intelligent control of the system. The parking space node realizes the intelligent perception of the parking space information in the underground parking lot through the intelligent light controller, and the lane node completes the vehicle identity in the driveway by combining the intelligent light controller with the RFID reader. Detecting the position and driving attitude, and uploading the information to the data processing center through ZigBee, thus completing the tracking of the vehicle; The intelligent lighting controller uses grid method to model the environment of parking lot by detecting whether there is a vehicle passing through in real time and realizing intelligent control of lamps and lanterns combined with ambient illumination. Then the Dijkstra algorithm is optimized. Finally, the improved algorithm is successfully applied to the path planning of underground parking. By comparing the algorithms before and after optimization, the results show that the optimized algorithm is not only fast, but also effectively improves the confidence level of the successful search of the optimal path. It uses license plate recognition technology and RFID technology in the entrance and exit of parking lot. At the same time, the security of parking lot is improved by using C # programming and SQL Server database technology. The upper computer software design of the management system is completed, which includes license plate recognition, vehicle information management, etc. Optimal parking space allocation and route planning are integrated. Finally, the research results are successfully applied in the large underground parking lot developed by Shandong Gold Group, which effectively improves the automatization and operation efficiency of the parking lot.
【學(xué)位授予單位】：山東建筑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U495;TP315

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 陸鋒;最短路徑算法:分類體系與研究進(jìn)展[J];測(cè)繪學(xué)報(bào);2001年03期

2 顧振宇,劉魯源,杜振輝;DS18B20接口的C語(yǔ)言程序設(shè)計(jì)[J];單片機(jī)與嵌入式系統(tǒng)應(yīng)用;2002年07期

3 楊娟;;數(shù)據(jù)庫(kù)系統(tǒng)發(fā)展和應(yīng)用綜述[J];計(jì)算機(jī)與網(wǎng)絡(luò);2005年23期

4 盧金昊;董馳;;基于數(shù)據(jù)結(jié)構(gòu)的最短路徑算法的研究[J];價(jià)值工程;2012年10期

5 楊自棟;;簡(jiǎn)易超聲波測(cè)距儀的軟硬件設(shè)計(jì)[J];農(nóng)業(yè)裝備與車輛工程;2005年12期

6 鄭秀敏;顧大鵬;劉相術(shù);;基于柵格法-模擬退火法的機(jī)器人路徑規(guī)劃[J];微計(jì)算機(jī)信息;2007年05期

7 張令意;昂志敏;金海紅;;新型無(wú)線通信技術(shù)Zigbee[J];現(xiàn)代通信;2007年Z1期

8 葛萬(wàn)成,吳鳳萍;兩步相關(guān)法高抗干擾超聲波距離測(cè)量技術(shù)的研究[J];儀器儀表學(xué)報(bào);2002年03期

9 覃俊,康立山;基于動(dòng)態(tài)群體的聚集演化求解多峰函數(shù)優(yōu)化問(wèn)題[J];中南民族大學(xué)學(xué)報(bào)(自然科學(xué)版);2003年02期

相關(guān)重要報(bào)紙文章 前1條

1 整理 李秋　耿紅晶 張敏;[N];中國(guó)商報(bào);2014年

相關(guān)碩士學(xué)位論文 前2條

1 賈志勇;汽車牌照自動(dòng)識(shí)別技術(shù)研究[D];浙江工業(yè)大學(xué);2005年

2 朱秀峰;車牌字符識(shí)別算法研究與實(shí)現(xiàn)[D];華中科技大學(xué);2012年

，

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