Embong, Abd Halim and Abdul Hamid, Syamsul Bahrin and Fathuddin Shukran, Muhammad Syahir and Abdul Kader, Nur Bidayatul Hidayah and Zulkifli, Muhammad Arfan (2026) IIoT-based real-time monitoring and predictive maintenance system for air conditioning ducting systems. Journal of Engineering Technology and Applied Physics, 8 (2). pp. 179-186. E-ISSN 2682-8383
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Abstract
This paper presents an Industrial Internet of Things (IIoT)-based real-time monitoring and predictive maintenance system for air-conditioning ducting environments. The proposed system integrates a mobile robotic platform equipped with environmental sensors—BME280 and MQ135—and an ESP32 microcontroller, along with LoRa SX1278 modules for long-range wireless data transmission. The system visualises sensor data through a PyQt5-based graphical user interface. It utilises a deep learning model trained on the author’s datasets to classify environmental conditions into 'Normal,' 'High Humidity,' or 'Fire.' Experimental results confirm the system's ability to operate reliably in metallic duct environments, ensuring secure data transmission and delivering accurate AI predictions. The study concludes with a discussion on system performance and future upgrades, including vision-based inspection
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | IIOT, HVAC, Predictive maintenance, LoRa, Deep learning, Real-time monitoring |
| Subjects: | T Technology > T Technology (General) > T11.95 Industrial directories T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.4 Managerial control systems T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T59.5 Automation |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Mechatronics Engineering |
| Depositing User: | Abd Halim Embong |
| Date Deposited: | 03 Nov 2026 15:08 |
| Last Update: | 03 Nov 2026 15:08 |
| Queue Number: | 2026-10-Q5972 |
| URI: | http://irep.iium.edu.my/id/eprint/132419 |
| Indexed In: | MyCite |
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