Intelligent Dispatching Logistics Warehouse System Method Based on RFID Radio Frequency Data Processing Technology

Abstract

With the rapid development of the Internet of Things, the application of RFID radio frequency data processing technology has become more extensive, and the advantages have become more prominent. With the increase of warehousing management business, the requirements for the timeliness and accuracy of warehousing management of enterprises are increasing, and the existing warehousing management model has been unable to meet the requirements of logistics management. The purpose of this article is to study the intelligent dispatching logistics warehouse system method based on RFID radio frequency data processing technology. This article analyzes the business process of the intelligent dispatch logistics warehouse system, researches and combs the business process of the RFID warehousing logistics system under the Internet of Things environment, combs and reengineers the warehousing logistics management business based on the Internet of Things RFID technology, and joins the container Internet of Things gateway matching, many function points such as real-time management of cargo positions. Researched and improved the service form of RFID technology in warehousing logistics management business, and optimized and designed core modules such as intelligent cargo location management and supplier management. Using RFID technology, a stable and reliable warehousing logistics management business management system suitable for the relevant pipes of the Internet of Things is realized, which helps warehousing and logistics enterprises to transform into the Internet and enhance their competitiveness. Experimental research results show that: in terms of performance, the operation response time of exported data is the longest, 8.02 s, and the response time of other operations is less than 5 s. It can be seen from this that it is still necessary to strengthen the number of concurrent users of the system, operation response time, and the memory usage and CPU usage of the application server and database server.