Affiliations: [a] School of Logistics and Transportation, Central South University of Forestry and Technology, Changsha, Hunan Province, China
| [b] Monash University, Melbourne, Australia
Corresponding author: Yin Huang, School of Logistics and Transportation, Central South University of Forestry and Technology, Changsha, Hunan Province, China. E-mail: [email protected].
Abstract: OBJECTIVE:At present, Internet of things (IoT) technologies such as radio frequency identification devices (RFID) have been widely used. In such context, manufacturing industries of semiconductor integrated circuits have gradually realised that it is necessary to integrate IoT technologies such as RFID with other systems of technologies. The research provides a new idea for the deep integration of IoT technologies including RFID with new-generation information technologies (IT) such as big data and deep learning and drives IoT technologies to develop with multiple functions and diverse types. DESIGN, METHODOLOGY, and APPROACH:The research takes the manufacturing enterprises of semiconductor integrated circuits as the objects and integrates IoT technologies involving RFID and intelligent sensors with new-generation IT technologies such as big data, sensing database, deep learning, knowledge discovery, etc. On this basis, a process innovation mode based on the integration of IoT and sensing big data is established. Based on the characteristics of sensing big data of enterprises manufacturing semiconductor integrated circuits, the innovation mode is designed in three stages including: data integration and fusion, data optimisation and modelling, and data application. Moreover, the system architecture, key technologies, modelling process, and algorithm design are also analysed. FINDINGS:A process innovation mode of semiconductor integrated circuit products based on the integration of IoT and sensing big data is provided.
Keywords: Process innovation mode, semiconductor integrated circuit product, sensing big data, internet of things