Research Of RFID Tag Anti-collision Algorithm In Coal Mine Safety Early Warning System

Radio Frequency Identification (RFID) technology emerged in the1990s, it is a non-contactautomatic identification technology. Since the acquisition and processing of information is fast, real-time, accurate, etc., it is widely used in public transport, health care, logistics and other fields. Withthe expansion of application fields, RFID technology has become a hot research.With the continuous improvement and development of RFID technology, data communicationdistance between the reader and the tag has become increasingly far, range of identification tag isconstantly expanding. However, there are related problems in this system, for example, when there aremultiple tags simultaneously responding to the reader in the range of reader identify, because theyshare the same channel at a time, so this will result that labels sent overlapping data to reader, thereader does not normally identify each label. This is the so-called collision between labels. Currently,to solve the problem tag anti-collision algorithm has two main categories. One is based on theuncertainty label ALOHA anti-collision algorithm; the other is based on the certainty of a binary treesearch tag anti-collision algorithms.Firstly, this paper introduces the RFID technology, including system structure, working principleof physics, as well as some related technologies. The next focus of analysis is time division multipleaccess technology based on binary tree algorithm and ALOHA series count. Through these twocategories are done algorithm mathematical analysis and case analysis, using Matlab simulates themin the system throughput, time slot consumption, the amount of data and other aspects. This series ofcomprehensive analysis compare the advantages and disadvantages of these two categories ofalgorithms.Finally, this paper proposes a novel ALOHA algorithm. When the label abound,we group label tocontrol communication with the reader in every frame number of tags. At the end of each frame, weuse Schoute algorithm to estimate the tags, and change the dynamics of the frame length to improvethe system throughput and read time. The improved algorithm using Matlab simulation found that ithas many advantages when comparing with the previous algorithm.