Information Collecting And Processing Technology Based On RFID For Ship Dangerous Goods State

Along with fast development for electronic information and computertechnology in ITS, RFID has been widely used in traffic field as a new automaticrecognition, especially plays a very important role in dangerous articles store andtransport. Basing on the characters of dangerous articles shipping, the thesis makesclear for the chance and advantage of RFID technology in it by SWOT analysis. Inaddition, it takes research and discussion aimed at key technology that RFID is usedfor collecting information and data processing with dangerous articles shipping.The thesis analyses the basic ways for several labels data collisions that thearithmetic for dealing with it are ALOHA, Binary and other improved arithmetics.The research and application for these arithmetics have been well-developed.Including theory of arithmetic, operation steps and emulation experiment result, thisthesis clarifies them in details and compares the performance and proper conditionbetween the several arithmetics, then it gets a conclusion for users to make a flexiblechoice commodiously in practical application.In this thesis, it also has an analysis for collision forms and features inmulti-reader and makes a classification for arithmetic collision proofing in traditionalreader. Having a comparison of performance in kinds of arithmetics from the channelquantity, efficiency, complication and general situation, the thesis proposed thequestion that is based on probability power control arithmetic to solve the datacollision in the multi readers. The theory of arithmetic, calculation procedure andemulation result are mentioned detailedly.Finally, this thesis analyses the database building mechanism and characters ofRFID data. Having a RFID data processing aimed at its features, includingeliminating noise for original RFID data and data mixture after noise eliminating. Fornoise eliminating with RFID original signal, the common methods are not able tokeep the characters of original signal well in momentary variability. The method ofMulti scales resolution and re-build joint threshold with Wavelet transform toeliminate noise is used to reduce noise in this thesis, and place the advantageobviously to have a better effect compared with other methods. Depending on areference to the theory of multi sensor data mixture, it submits a RFID data mixturemethod that is suitable for single sensor system for data by noise eliminated. Themethod has been emulated and calculated in Matlab, and improved its availability.