This paper is published in Volume-11, Issue-4, 2025
Area
IoT In Industrial Automation / Smart Manufacturing / Industry 4.0
Author
Aryeman Dalmia
Org/Univ
KIIT International School, Bhubaneswar, Odisha, India
Keywords
DRI Kiln, SmartFurnace, IoT, Predictive Maintenance, Industrial Automation, Edge Computing, Industry 4.0, Sponge Iron
Citations
IEEE
Aryeman Dalmia. SmartFurnace IoT: AI-Powered Monitoring and Predictive Maintenance System for DRI Kilns, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aryeman Dalmia (2025). SmartFurnace IoT: AI-Powered Monitoring and Predictive Maintenance System for DRI Kilns. International Journal of Advance Research, Ideas and Innovations in Technology, 11(4) www.IJARIIT.com.
MLA
Aryeman Dalmia. "SmartFurnace IoT: AI-Powered Monitoring and Predictive Maintenance System for DRI Kilns." International Journal of Advance Research, Ideas and Innovations in Technology 11.4 (2025). www.IJARIIT.com.
Aryeman Dalmia. SmartFurnace IoT: AI-Powered Monitoring and Predictive Maintenance System for DRI Kilns, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aryeman Dalmia (2025). SmartFurnace IoT: AI-Powered Monitoring and Predictive Maintenance System for DRI Kilns. International Journal of Advance Research, Ideas and Innovations in Technology, 11(4) www.IJARIIT.com.
MLA
Aryeman Dalmia. "SmartFurnace IoT: AI-Powered Monitoring and Predictive Maintenance System for DRI Kilns." International Journal of Advance Research, Ideas and Innovations in Technology 11.4 (2025). www.IJARIIT.com.
Abstract
Abstract: This paper presents SmartFurnace IoT, an intelligent system designed for real-time monitoring and predictive maintenance of Direct Reduced Iron (DRI) kilns. It integrates temperature, gas, and material flow sensors with edge devices and cloud-based AI algorithms to enhance safety, reduce downtime, and improve energy efficiency. The system provides live dashboards, automated alerts, and historical data logging, enabling proactive interventions and pollution control compliance. The approach targets cost-effective modernization of sponge iron plants, particularly in industrial regions like Odisha and Chhattisgarh.
