本文選題：射頻識別技術(shù)　切入點：庫存管理　出處：《太原理工大學(xué)》2015年碩士論文

【摘要】：射頻識別技術(shù)(Radio Frequency Identification，RFID)作為自動識別技術(shù)的一種，已經(jīng)被廣泛的應(yīng)用到諸如庫存管理、物流運輸、交通監(jiān)控、目標跟蹤等多個領(lǐng)域中。由于該技術(shù)可同時識別多個運動的目標，能夠?qū)崿F(xiàn)無障礙的快速掃描以及存儲數(shù)據(jù)容量大的特性，因此將RFID技術(shù)用在庫存管理中，可以實現(xiàn)數(shù)據(jù)的自動采集，改善庫存管理的流程，大大提高庫存管理的效率。貨物進入倉庫之后，，對于貨物的監(jiān)控管理也是庫存管理中一個亟待解決的問題。由于貨物數(shù)量巨大，種類龐多，企業(yè)要根據(jù)現(xiàn)存商品的數(shù)目來決定是否補充貨源。因此企業(yè)需要及時了解庫存中貨物的情況，方便企業(yè)的管理。 在大型RFID系統(tǒng)中，已經(jīng)有大量的工作專注于解決標簽數(shù)目估計問題。然而，這些研究方法都是考慮時間有效性，就是達到用戶指定的精度條件下在最短的時間內(nèi)估計出標簽的數(shù)目，而現(xiàn)代庫存管理應(yīng)用的是有源標簽，這些方法都沒有考慮到能量的消耗，導(dǎo)致每個標簽消耗的能量分布不均勻，縮短系統(tǒng)的壽命。因此，在庫存管理中需要一種平衡每個標簽消耗的能量的方法。 本文針對庫存管理的實際需求，提出了有源RFID系統(tǒng)中估計標簽數(shù)目時的能量平衡(Energy Balance Estimation，EBE)算法，該算法主要分為兩個階段—初始階段和迭代階段，在達到精度要求的前提下，盡量減少標簽的響應(yīng)次數(shù)，并使得每個標簽的響應(yīng)次數(shù)達到平均值。通過理論分析與實驗仿真，可以看出該算法在能量平衡上達到了預(yù)期的效果。最后，分析了該算法的缺陷，在該能量平衡算法的基礎(chǔ)上，提出了改進的能量平衡(Generalized Energy Balance Estimation，GEBE)算法。此算法增加了一幀中時隙的個數(shù)，有效避免了標簽的沖突問題，在節(jié)約能量方面取得了更大的進步。仿真結(jié)果也驗證了該算法的優(yōu)越性。
[Abstract]:Radio Frequency Identification (RFID), as an automatic identification technology, has been widely used in many fields such as inventory management, logistics transportation, traffic monitoring, target tracking and so on.Because this technology can identify multiple moving targets simultaneously, it can realize fast scanning without obstacles and large data storage capacity, so the RFID technology can be used in inventory management to realize the automatic data acquisition.Improve the process of inventory management, greatly improve the efficiency of inventory management.After the goods enter the warehouse, the monitoring and management of goods is also an urgent problem in inventory management.Because of the huge quantity of goods and the variety of goods, enterprises have to decide whether to replenish the supply according to the number of existing goods.Therefore, enterprises need to know the situation of goods in stock in time, facilitate the management of enterprises.In large RFID systems, a lot of work has been done to solve the problem of tag number estimation.However, these research methods consider time validity, that is, the number of tags can be estimated in the shortest time under the condition of user-specified precision, while the active label is used in modern inventory management.These methods do not take energy consumption into account, which leads to uneven distribution of energy consumption per label and shortens the life of the system.Therefore, there is a need to balance the energy consumption of each label in inventory management.In this paper, according to the actual requirement of inventory management, an energy Balance estimation method is proposed for estimating the number of tags in active RFID system. The algorithm is divided into two stages: initial stage and iterative stage.Minimize the number of responses to each tag, and make the average number of responses per tag.Through theoretical analysis and experimental simulation, it can be seen that the proposed algorithm achieves the desired results in energy balance.Finally, the defects of the algorithm are analyzed. Based on the energy balance algorithm, an improved generalized Energy Balance estimation method is proposed.This algorithm increases the number of time slots in a frame, effectively avoids the problem of tag collision, and makes more progress in energy saving.Simulation results also verify the superiority of the algorithm.
【學(xué)位授予單位】：太原理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TP391.44

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