Dynamic RFID System Based On Dynamic Anti-Collision Algorithm

Agriculture and animal husbandry are related to people’s livelihood,the quality and safety of agricultural and animal husbandry products is the key to people’s happiness index.In the livestock and poultry breeding stage,improving the efficiency of breeding can ensure the quality and safety of agricultural products to a certain extent.Therefore,the establishment of a complete livestock and poultry information management system to improve the efficiency of breeding is great help to the entire agriculture and animal husbandry industry.The information management products for captive ranches are relatively mature at home and abroad,but there is little research on products related to large-scale ranches raised outside the circle.This type of pasture is characterized by a vast area,long daily inspection work,high labor costs,and severe damage to natural pastures by inspection tools.Therefore,the research purpose of this article is to design a set of livestock and poultry information management system that is suitable for largescale farms raised outside the circle and works in a dynamic environment to help practitioners manage livestock and poultry more efficiently on a daily basis.The research content of this paper is mainly divided into hardware system design and software system design.The core technology used in the hardware system design is the mature non-contact automatic identification RFID technology,which is composed of an RFID reader and a smart car.The reader is the AS3992 reader produced by Austrian Microelectronics Company,which can rewrite the internal algorithm of the reader.The reader works under the Class-1 Generation-2 standard of EPC global.When the hardware system is working,the smart car acts as a platform equipped with a reader to read information on the ear tags of livestock and poultry during the movement.Aiming at this working method,this paper proposes a tag anti-collision Q algorithm(AFP-Q)based on the predicted time slot number frame termination strategy in a dynamic environment to improve the efficiency of hardware system identification.The software system is designed as the data information processing terminal of the entire system,mainly responsible for processing the data sent by the hardware system,the maintenance of farm information.This part is developed using the B/S architecture model,and the Web dynamic service technology used is based on the Mricrosoft.NET platform.The core of the technology is ASP.NET,and the corresponding B/S three-tier architecture is WebForm + C# + database.WebForm is responsible for implementing the interface presentation layer,C# language is responsible for implementing the business logic layer,and MySQL is responsible for implementing the data access layer.The data interaction of the software and hardware system is realized through GPRS technology.Finally,through the simulation comparison of MATLAB and the test comparison in the actual environment,it can be concluded that compared with the traditional Q algorithm,the AFP-Q algorithm can reduce the number of times the reader changes the Q value,thereby reducing the reader overhead and reducing the system throughput rate.Stable at about 70%,largely ignoring the impact of trolley movement on tag recognition.The software and hardware system can work normally as a whole in the test,which provides a reliable basis for the digital processing of large-scale pastures raised outside the circle in the future.