Machine Learning Paradigm for Internet of Things Applications

4Production Monitoring and Dashboard Design for Industry 4.0 Using Single-Board Computer (SBC)

Dineshbabu V.¹*, Arul Kumar V. P.^1† and Gowtham M. S.^2‡

¹Department of Information Technology, Karpagam Institute of Technology, Coimbatore, India

²Department of Electronics and Communication Engineering, Karpagam Institute of Technology, Coimbatore, India

Abstract

Industry 4.0 standard is presently enabled in all industrial sectors to enhance its production activity and to understand the nature of the machine health and to take better prognostics. The transformation of Industry 3.0 to 4.0 is critical due to old aged machinery and other security issues in the transformation. The single-board computers (SBCs) in the present market are capable to deliver the requested content from industrial machines and capable to satisfy the client requirement to switch over to Industry 4.0. This chapter envisages the dashboard design and monitoring of industry production activity with SBCs. This also discusses on architecture and role of machine intelligence in monitoring such events. A Raspberry Pi–based production monitoring system is designed with ultrasonic sensors, camera to catch up the event, and RFID to monitor the production activity. The artificial intelligence–based algorithm is incorporated to identify the faulty production orders in the lane. The computational complexity of the same is analyzed in this paper.

Keywords: Industry 4.0, single-board computers, image processing, system complexity ...