System Framework Of RFID-based Automatic Identification System For Railway Container And Anti-collision Algorithms For RFID System

With the growth rate of global economy integration is unstoppable, and the transport of ports container is developing quickly.As the mainly carrier of logistics transports, container havn't implement any automated information under the rapid development of information and network, which contrary to the information that modern logistics required.It is clear that containers are identified by their unique container numbers in the whole process of logistics. But the veracity of traditional identification is not high enough, data collection by manual work not only easy to make mistakes but also cost much time.In allusion to those problems, it is necessary to introduce the well developed RFID technology into container transportation. With the advantage of identifying mobile and multi-objects without touch and interference,which has provided an excellent solution for achieving the transparency of supply chain automated management.This thesis focuses on design for system framework of RFID-based automatic identification system for railway container and anti-collision algorithms for RFID system. At the beginning, it carries on simple introduction to the RFID basic concepts, working principles, correlative theories and key technologies.Then, a framework of railway container base on RFID is proposed, the paper describes concretely the principle, framework of railway container RFID system, the functionality of every part, the theory and technology that needed by the design of RFID system.such as signal coding and modulation, data coding and decoding, the integrality and security of data transfer, and the resolution of anti-collision.Next some popular anti-collision algorithms, such as ALOHA algorithm, binary searching algorithm, dynamic binary tree searching algorithm are analyzed concretely, and concludes every kind of algorithm performance as well as its suitable situation. Based on the above algorithms, this paper proposes an improved algorithm, and also improves algorithm according to project requirement, confirms the conclusion through MATLAB and C++simulation.By the comparison between the original algorithm and improved algorithm , we find that the improved anti-collision algorithm proposed in this paper is much quicker than the original algorithm, and the number of tag identification is much more compared with the original algorithm. Using this algorithm, much superfluous information is wiped off, which could reduce the time of identification and improve the efficiency of anti-collision greatly.