Research on Automatic Statistics of Electronic Commerce Data Based on Internet of Things
Songfang Shi · 2019
Based on RFID and Internet of things technology, the method of automatic statistics of the data in and out of electronic commerce has been studied to improve the management ability of electronic commerce. An automatic statistics method of electronic commerce access database is proposed based on distributed wireless RFID in Internet of things. In this paper, the adaptive distributed optimization positioning design of the Internet of things node is carried out, and the distributed data structure model of the data in and out of the database in the cloud service combination mode is constructed. This paper adopts descriptive statistical analysis method to deal with the information fusion of the data in and out of the storehouse of electronic commerce, and combines the multiplex Internet of things scheduling technology to deal with the packet sample detection of the data in and out of the storehouse of the electronic commerce. The RFID method is used to mine and extract the data of electronic commerce, and to realize the automatic statistics of the data in and out of the storehouse of electronic commerce. The simulation results show that the proposed method has good automatic clustering ability, fast statistical rate and high feature matching ability. It has a good application value in the statistics and monitoring of the data in and out of the storehouse of electronic commerce.