Improvement And Application Of Fingerprint Location Method Based On RFID

With the gradual development of new concepts such as "Industry 4.0" and "Made in China 2025" in China,the digital reform of the manufacturing industry has been put on the agenda.RFID technology has become one of the key technologies in the digital reconstruction process of the manufacturing industry due to its automatic data collection feature,and is widely used in items management,intelligent logistics,and personnel tracking.Manufacturing companies adopting more accurate indoor positioning systems can effectively improve production management efficiency and warehouse logistics efficiency.At present,the positioning algorithms developed for the indoor positioning technology based on RFID have greatly improved the positioning efficiency to varying degrees,but the electromagnetic propagation environment of the complex industrial environment has affected the traditional positioning algorithms.Therefore,how to make better use of RFID technology to improve indoor positioning accuracy has become a research hotspot.Aiming at the current demand for RFID equipment and indoor positioning functions in the digital reconstruction process of the manufacturing industry,as well as the low positioning accuracy of traditional positioning methods in complex metallurgical industrial environments,the article first explains the relevant technical principles,analyzes and compares its advantages and disadvantages,then proposes a Weighted K Nearest Neighbor fingerprint location method based on particle filter fusion.Secondly,simulations and experiments show that the improved method can effectively improve the positioning accuracy.Finally,take the actual use environment of a metallurgical manufacturing industry as an example,configure the RFID hardware equipment to adapt to the use environment of the metallurgical factory,and use the improved positioning method in this article to effectively locate and manage the warehouse inventory of the factory.The average positioning error is 0.82 m,and the positioning accuracy is higher than 1.66 m based on the traditional fingerprint positioning method based on KNN matching in the same environment.What's more,according to the needs of the metallurgical manufacturing company,combined with RFID equipment and improved algorithms,this paper has produced related management interfaces and positioning interfaces to strengthen the application effect of the positioning algorithm,as well as the data visualization effect of the metallurgical enterprise,and accelerate the digital reform process of the factory.