【摘要】：隨著人民生活水平的提高,城市車輛保有量日益增加,停車場(chǎng)和停車位資源在城市當(dāng)中變得日益重要,與此同時(shí),停車場(chǎng)面積和規(guī)模日益擴(kuò)大和停車位資源的日益緊張,使得停車和取車問(wèn)題成為有車一族每天必須面對(duì)和頭痛的問(wèn)題,另一方面,對(duì)于停車場(chǎng)管理方而言,停車場(chǎng)規(guī)模和面積的不斷擴(kuò)大使得傳統(tǒng)的停車場(chǎng)管理方式變得無(wú)力和低效,如何能夠更加高效地管理停車場(chǎng)內(nèi)部的停車位資源和提高停車場(chǎng)管理水平也成為一個(gè)具有實(shí)用經(jīng)濟(jì)價(jià)值的問(wèn)題。近年來(lái),隨著移動(dòng)互聯(lián)網(wǎng)的不斷發(fā)展和智能手機(jī)的快速普及,物聯(lián)網(wǎng)技術(shù)也在憑借智能終端普及的這個(gè)機(jī)遇得到飛速發(fā)展,蘋果提出的fiBeacon技術(shù)用于室內(nèi)停車場(chǎng)定位,將物聯(lián)網(wǎng)技術(shù)與智能終端技術(shù)相結(jié)合,運(yùn)用于大型停車場(chǎng)管理當(dāng)中變得日益可行。本課題研究以智能終端為載體,將視頻車牌識(shí)別技術(shù)和iBeacon實(shí)時(shí)定位技術(shù)應(yīng)用于大型停車場(chǎng)管理和服務(wù)當(dāng)中,著重研究解決大型停車場(chǎng)找空位和反向人找車的難題,以更智能的技術(shù)手段大幅提升大型停車場(chǎng)管理服務(wù)水平。本文的工作成果如下:1)提出一種改進(jìn)的RSSI定位算法,利用低功耗藍(lán)牙節(jié)點(diǎn)的iBeacon進(jìn)行定位,改變傳統(tǒng)RSSI定位算法當(dāng)中的弊端和不足,并且將該算法部署到實(shí)際停車場(chǎng)管理當(dāng)中,驗(yàn)證了算法的可行性和可實(shí)踐性。2)提出一種基于REST的智能停車場(chǎng)管理導(dǎo)航系統(tǒng)架構(gòu)模型,設(shè)計(jì)了 REST接口,應(yīng)用于實(shí)現(xiàn)的智能停車系統(tǒng)當(dāng)中,利用REST的設(shè)計(jì)思想對(duì)本智能停車導(dǎo)航管理系統(tǒng)進(jìn)行功能和架構(gòu)劃分。3)設(shè)計(jì)并實(shí)現(xiàn)了基于REST架構(gòu)的停車場(chǎng)導(dǎo)航管理系統(tǒng),開(kāi)發(fā)完成了整個(gè)系統(tǒng),包括后臺(tái)管理系統(tǒng)、iBeacon定位系統(tǒng)、iOS App等,驗(yàn)證了系統(tǒng)的穩(wěn)定性和可靠性。4)實(shí)地部署了基于物聯(lián)網(wǎng)的智能停車導(dǎo)航管理系統(tǒng),驗(yàn)證了系統(tǒng)運(yùn)行的穩(wěn)定性和可靠性,并探索其他物聯(lián)網(wǎng)技術(shù)用于停車場(chǎng)管理當(dāng)中的可行性。
[Abstract]:With the improvement of people's living standards and the increasing number of vehicles in cities, parking lots and parking space resources become increasingly important in the city. At the same time, the parking lot area and scale are increasing and the parking space resources are becoming increasingly tight. The problem of parking and picking up cars becomes a daily headache for car owners. On the other hand, for the parking lot management, the continuous expansion of parking lot size and area makes the traditional parking management way become weak and inefficient. How to more efficiently manage parking space resources and improve parking management level has become a practical and economic value problem. In recent years, with the continuous development of mobile Internet and the rapid popularity of smart phones, the Internet of things technology is also relying on the popularity of intelligent terminals this opportunity to get rapid development, Apple's proposed fiBeacon technology for indoor parking location, The combination of Internet of things technology and intelligent terminal technology has become increasingly feasible in large parking lot management. In this paper, the intelligent terminal is used as the carrier, video license plate recognition technology and iBeacon real-time location technology are applied to the management and service of large parking lot. With more intelligent technical means to greatly improve the large parking lot management service level. The results of this paper are as follows: 1) an improved RSSI localization algorithm is proposed, which uses the iBeacon of low-power Bluetooth node to locate, and changes the disadvantages and shortcomings of the traditional RSSI localization algorithm, and deploys the algorithm to the actual parking lot management. The feasibility and practicability of the algorithm are verified. 2) an architecture model of intelligent parking lot management and navigation system based on REST is proposed. The REST interface is designed and applied to the intelligent parking system. The function and architecture of the intelligent parking navigation management system are divided by using the design idea of REST. 3) the parking lot navigation management system based on REST architecture is designed and implemented, and the whole system is developed and completed. Including backstage management system, iBeacon positioning system, iOS App and so on, which verify the stability and reliability of the system. 4) the intelligent parking navigation management system based on the Internet of things is deployed in the field, and the stability and reliability of the system are verified. And explore the feasibility of other Internet of things technology used in the parking lot management.
【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】：2016
【分類號(hào)】：TP391.44;TN929.5;TP311.52

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