Original scientific paper
https://doi.org/10.1080/00051144.2022.2051977
An efficient industry 4.0 architecture for energy conservation using an automatic machine monitor and control in the foundry
M. Dinesh
; Department of ECE, Shri Angalamman College of Engineering and Technology, Trichy, India
C. Arvind
; Department of ECE, Karpagam College of Engineering, Coimbatore, India
K. Srihari
; Department of CSE, SNS College of Technology, Coimbatore, India
Abstract
In this article, a machine monitor and control architecture (MMCA) satisfying the industry 4.0 standard is proposed for energy conservation by optimizing the core moulding machine in industrial automation. Since the foundry environment is a fine dust area and is maintained at very high temperatures (around 140°C), the manual operation of machines is more complex and demanding. Moreover, the monitoring and controlling of machines need highly reliable eco-friendly systems. With real-time data logging, the proposed MMCA prototype system has been installed to monitor and control the overall process in a single core shooter machine (CSM). The parameters controlled using MMCA in foundry machinery include pressure, temperature and power consumption. The complete system can be controlled using an intranet or Internet connection without any human intervention in the machinery environment, which operates at a very high temperature. After explaining the architecture and its features, the experimental results are presented on a real-time implementation of the framework to validate the optimal energy management by the proposed MMCA. The experiments were performed on a CSM, which is automated for practical industrial applications. Its real-time implementation ensures that MMCA-based monitoring and controlling is more effective and advantageous than the programmable logic controller-based machine monitoring.
Keywords
Control system; electronics and communication engineering; industrial engineering; autonomous system; intelligent automation
Hrčak ID:
287526
URI
Publication date:
11.4.2022.
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