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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM46914
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This paper presents a comprehensive review on the development of a smart furnace using Internet of Things (IoT) technology. The objective is to provide enhanced control, efficiency, and automation in industrial heating systems. By integrating various sensors, microcontrollers, and communication modules, the smart furnace can monitor real-time parameters and optimize its operation. Conventional furnace systems suffer from issues such as delayed manual control, lack of feedback mechanisms, and energy inefficiency. The application of IoT provides a solution through automation and digital transformation. This review summarizes recent advancements in smart furnace technology, construction methodology, working mechanisms, and potential industrial applications. Moreover, it highlights future research directions and challenges in deploying scalable, secure, and intelligent furnace systems. Furthermore, smart furnaces enable predictive analytics that can anticipate equipment failures before they occur, reducing downtime and maintenance costs. Integration with mobile and web-based applications allows users to configure alerts, manage schedules, and monitor data trends in real-time. These advanced features contribute to achieving higher process efficiency and product quality in thermal applications. The review also investigates challenges such as sensor calibration, environmental constraints, and the complexity of integrating legacy systems. This study is crucial for manufacturers and researchers aiming to transition traditional furnaces into smart, interconnected systems suitable for Industry 4.0 environments. Overall, this review consolidates foundational and emerging research to provide a reference for future innovations in IoT-driven furnace automation.
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Publication Date
5/4/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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