A Data Mining Framework for Massive RFID Data Based on Apriori Algorithm

Abstract

In modern manufacturing industries, machines are connected and shared within the manufacturing network. Thus, IoT (Internet of Things) and information technologies are widely applied in the smart factory, among which RFID (Radio Frequency Identification) devices are the most important elements to collect real time data and track important objects. With the continuously developing and widely applications of RFID technology, huge amount of RFID data would be generated during manufacturing processes. In this paper, an intelligent factory framework based on RFID is proposed and massive RFID data is produced. Then the unique characteristics of RFID data in intelligent factory are analyzed, and an algorithm of mining frequent patterns based on Apriori is designed to mine the frequent path knowledge. The algorithm is helpful for the production planning and task scheduling of intelligent factory.