The Research and Design of the Dangerous Chemicals Monitoring System Based on the Integration of the RFID and ZigBee
|Course||Computer Software and Theory|
|Keywords||RFID ZigBee Anti-collision Monitoring of dangerous chemicals|
In this paper, aiming at the problems existing in the safety management of dangerous chemicals, combined wireless sensor nodes with RFID reader application and brought it to the safety monitoring of dangerous chemicals.RFID technology can identify individual chemical information, wireless sensor nodes are responsible for real-time monitoring of environment parameters where dangerous chemicals stored, and the establishment of the transmission network will transfer these information and the chemical information to the host computer control system,so that managers can grasp the chemical information in the warehouse,and it plays a positive and effective role in accident prevention.The core of safety monitoring system of dangerous chemicals is the integration of RFID and ZigBee,system design is based on the software, hardware and communication protocol.and applied the integration of these two technologies to the RFID reader,let it play an mportant role in the whole system.Data collision is difficult to be avoided in the data transmission,this paper improved the original anti-collision algorithm.so that the anti-collision algorithm could be more suitable for more tags and the bigger warehouse.Then this paper reduced the large number of redundant data,energy consumption and delay according to the modified data aggregation algorithm.In order to ensure the seamless collection and communication of the information, and achieve the optimal performance, price and power consumption, this paper gave the random distribution model of WSN and the coverage control model, which gave the system the exact basis for the deployment. This paper also gave the detailed design of the system overall frame,the ZigBee transmission network and detailed software module. Finally, this paper gave a simple test to the system, which can prove the feasible of the system.