本文選題：條碼識別 + 室內(nèi)定位��； 參考：《南京郵電大學》2017年碩士論文

【摘要】：物流倉儲作為物流行業(yè)最關(guān)鍵的環(huán)節(jié)之一,其自動化和智能水平直接影響整個物流服務(wù)的質(zhì)量和效率。目前,物流倉儲處于自動化水平偏低的發(fā)展階段,同時還存在一些問題,例如書庫管理中的圖書借閱和上架流程,包括查詢圖書標簽,確定書庫位置,查詢貨架編號,尋找圖書貨架等,其流程繁瑣,效率低,自動化水平不高,尤其對于不熟悉書庫環(huán)境的來訪者來說,從查詢所需書信息到獲取的過程相當復雜,不能快速獲取圖書位置及尋書路線。為了滿足書庫管理中的這一需求,本文設(shè)計并實現(xiàn)了自動識別與定位服務(wù)系統(tǒng),本文做了如下研究工作:(1)提出了動態(tài)梯度匹配K-近鄰算法,對于動態(tài)Wi-Fi環(huán)境中的室內(nèi)定位精度大大下降且性能不穩(wěn)定,數(shù)據(jù)庫中數(shù)據(jù)冗余導致的匹配效率低等問題,該算法展示了在動態(tài)Wi-Fi環(huán)境中Wi-Fi定位的抗干擾性,同時提出的特征指紋的梯度化和二級分區(qū)分別減少了數(shù)據(jù)庫冗余和提高了分區(qū)的命中率。實驗結(jié)果證明,該算法在整體定位精度、定位效率和分區(qū)命中率有明顯提高以及設(shè)備的異質(zhì)性有明顯的優(yōu)勢。(2)提出了動態(tài)聯(lián)合跟蹤與導航機制,對于Wi-Fi盲區(qū)環(huán)境中Wi-Fi定位的失效,對當前位置和目的地之間的路線規(guī)劃問題,該機制實現(xiàn)了Wi-Fi盲區(qū)環(huán)境中實現(xiàn)持續(xù)室內(nèi)定位。同時,提出了基于參考指紋節(jié)點的實時動態(tài)Dijkstra導航算法,實現(xiàn)了兩個位置之間的最優(yōu)路徑規(guī)劃。實驗結(jié)果證明,該算法在路徑規(guī)劃長度和時間使用上有明顯提高。(3)本文設(shè)計的自動識別與定位服務(wù)系統(tǒng)并在書庫管理中實現(xiàn),該系統(tǒng)能很好的解決了書庫管理中尋書和圖書上架效率低、查詢效率慢、流程繁瑣的特點和問題,成功地為圖書倉庫中管理員和來訪者提供可靠的圖書信息查詢、室內(nèi)定位和導航的實用性工具。
[Abstract]:Logistics warehousing as one of the most critical links in logistics industry, its automation and intelligence level directly affect the quality and efficiency of the entire logistics services. At present, logistics warehousing is on the low level of automation, and there are still some problems, such as the process of book borrowing and loading in library management, including querying the label of books, determining the location of the library, and querying the shelf number. The process of searching for book shelves is cumbersome, inefficient, and low level of automation. Especially for visitors who are not familiar with the library environment, the process from querying the required book information to obtaining it is quite complex. Unable to quickly obtain book location and book seeking route. In order to meet the requirement of library management, this paper designs and implements an automatic recognition and location service system. In this paper, the following research work is done: 1) A dynamic gradient matching K-nearest neighbor algorithm is proposed. For the problems of low precision and unstable performance of indoor positioning in dynamic Wi-Fi environment and low matching efficiency caused by data redundancy in database, the algorithm shows the anti-interference property of Wi-Fi location in dynamic Wi-Fi environment. At the same time, the gradient and two-level partitioning of the feature fingerprint can reduce the redundancy of database and improve the hit ratio of the partition. The experimental results show that the algorithm has obvious advantages in overall positioning accuracy, location efficiency and area hit ratio, as well as heterogeneity of equipment. (2) A dynamic joint tracking and navigation mechanism is proposed. For the failure of Wi-Fi location in Wi-Fi blind area environment and the route planning problem between current location and destination, the mechanism realizes continuous indoor positioning in Wi-Fi blind area environment. At the same time, a real-time dynamic Dijkstra navigation algorithm based on reference fingerprint nodes is proposed to realize the optimal path planning between two locations. Experimental results show that the algorithm has a significant increase in the length and time of path planning.) the automatic identification and location service system designed in this paper is implemented in the library management. The system can solve the problems of low efficiency of searching books and bookshelves, slow query efficiency, cumbersome process, and successfully provide reliable book information query for librarians and visitors in the library management. Practical tools for indoor positioning and navigation.
【學位授予單位】：南京郵電大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：G250.7;TP391.4;TN92

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