RFID Spatio-Temporal Data Processing And Mining Technology Research Oriented The Supply Chain

As an advanced automatic identification technology which tracks objects with tags through radio frequency,it is more and more popular in today's rapid development of science and technology,increasingly used in all kinds of large scale such as the retail,pharmaceutical,health care,and supply chain management areas,with its application in the supply chain enterprise is particularly frequent,this will be a revolutionary impact on supply chain management.But as a new technology,supply chain enterprise of RFID technology to the impact of supply chain management is not clear enough,in the face of RFID technology to implement decision problem,lack of valuable analysis and decision-making basis.System comprehensively from various angles,therefore,to study the effect of RFID technology in supply chain management and implementation of decision problem,has important theoretical significance and practical significance.In the supply chain using RFID technology to real-time locating and tracking items,resulting in plenty of time and space characteristics of RFID data,but also contains the implicit semantics.In order to implement efficient spatio-temporal queries and locate and track moving objects,we developed a RFID supply chain-oriented spatio-temporal data model defines the RFID data operations of spatio-temporal data,and these are given space and time data manipulation methods implemented in a relational database;operated using experimental spatial and temporal data on RFID,the operating time is analyzed to verify the validity of the data model and data manipulation.Through the establishment of spatio-temporal data model,we study on the path information mining,in this article,we adopt vertical database mining method to study the path information mining,obtain the frequent location information and frequent path information,and compared the number of frequent locations on different amount of data,analyzed the number of frequent locations under different minimum support.In such a large and complex supply chain system,often appear the phenomenon of that the information transfer distorted within various enterprises,and the demand forecasting was not accurate,this will lead to the entire supply chain efficiency is reduced,and commodity management of each enterprise in trouble.According to the supply chain management faced the problems,this paper analyses the frequent locations and frequent path in the role of supply chain,and the simple analysis of time series in the role of supply chain management,hoping the mining information that have obtained will have an effect on the demand analysis of supply chain and demand forecast,change the transparency of information sharing in the supply chain,reduce the inaccuracy of demand forecasting,thus providing support for supply chain management and business decisions.