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  本文選題：基于位置的服務(wù)　切入點：Wi-Fi　出處：《東北大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：移動互聯(lián)網(wǎng)時代,智能手機已經(jīng)給人們的生活帶來了巨大的影響,用手機處理個人業(yè)務(wù)已經(jīng)成為一種趨勢。而基于位置的服務(wù)(LBS)對人們的生活也越來越重要,如搜索周邊生活服務(wù)、導(dǎo)航導(dǎo)購路線等等。為了幫助人們在大型建筑里快速準確的找目的地,室內(nèi)定位導(dǎo)航技術(shù)也得到多越來越多的關(guān)注。智能手機的LBS服務(wù)給人們生活帶來便捷的同時,也呈現(xiàn)出廣闊的商業(yè)前景和巨大的市場價值。本文首先分析了課題背景,結(jié)合國內(nèi)外發(fā)展動態(tài)指出Android智能手機及室內(nèi)定位導(dǎo)航技術(shù)的發(fā)展前景和優(yōu)勢。在介紹了相關(guān)技術(shù)后,重點介紹了本系統(tǒng)實現(xiàn)所采用的主要算法：在手機客戶端使用A*算法規(guī)劃線路實現(xiàn)點對點的導(dǎo)航功能,并且通過服務(wù)器與客戶端的通信使用戶在客戶端所示的地圖上找到用戶指定的目的地。在定位服務(wù)器利用改進基于Wi-Fi的指紋庫比對算法實現(xiàn)定位功能,使用二次定位方法以確保在指紋庫密度較低的條件下該方法仍然保持較高的定位精度。二次定位方法是一種分段定位方法,首先利用KNN算法進行初定位,然后利用線性插值法生成新指紋庫,利用高斯分布重疊進行再定位。關(guān)于系統(tǒng)設(shè)計和實現(xiàn)部分本系統(tǒng)以大型超市為背景,設(shè)計并實現(xiàn)室導(dǎo)購位系統(tǒng)的三個主要功能模塊。這三個主要模塊包括：室內(nèi)定位模塊、清單導(dǎo)購模塊和好友查詢模塊。同時擴展購物相關(guān)的其它功能,提高用戶滿意度。最后,本文實現(xiàn)了室內(nèi)導(dǎo)購系統(tǒng),并對系統(tǒng)各功能模塊進行測試分析,證明本系統(tǒng)較好地完成了設(shè)計需求,可作為室內(nèi)導(dǎo)購系統(tǒng)為用戶提供服務(wù)。
[Abstract]:In the age of mobile Internet, smart phones have brought a huge impact on people's lives. It has become a trend to use mobile phones to handle personal business. LBS-based services are becoming more and more important to people's lives. In order to help people find their destinations quickly and accurately in large buildings, More and more attention has been paid to the technology of indoor positioning and navigation. The LBS service of smart phone brings convenience to people's life, at the same time, it also presents a broad commercial prospect and huge market value. Firstly, this paper analyzes the background of the subject. Combined with the domestic and international developments, the development prospects and advantages of Android smart phone and indoor positioning and navigation technology are pointed out. This paper mainly introduces the main algorithms used in this system: the algorithm A * is used in the mobile phone client to realize the point-to-point navigation function. And through the communication between the server and the client, the user can find the destination designated by the user on the map shown by the client. The location server uses the improved fingerprint database matching algorithm based on Wi-Fi to realize the location function. The secondary location method is used to ensure that the location accuracy is still high when the fingerprint database density is low. The secondary location method is a piecewise localization method. Firstly, the KNN algorithm is used for initial location. Then the new fingerprint database is generated by linear interpolation method, and the location is relocated by using Gao Si distribution overlap. Part of the system design and implementation is based on a large supermarket. Design and implement three main function modules of the system. The three main modules include: indoor positioning module, list guide module and friend inquiry module. At the same time, the other functions related to shopping are extended to improve user satisfaction. In this paper, the indoor shopping guide system is realized, and the test and analysis of each function module of the system are carried out. It is proved that the system has fulfilled the design requirements well and can be used as the indoor shopping guide system to provide service for the users.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN92

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1 羅真;基于Wi-Fi定位的室內(nèi)導(dǎo)購系統(tǒng)的設(shè)計與實現(xiàn)[D];東北大學(xué);2014年

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本文編號：1577304