iot based industrial hazard detection with wireless load operation
Hemadharshini S,Lavanya M,Madhumitha S C,Ranjani M S
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 10 April,2026 Pages:2095-2104
Abstract
Nowadays, industrial glaze plants and similar manufacturing environments operate under harsh and hazardous conditions where fluctuations in temperature, humidity, and the presence of toxic gases pose serious risks to worker safety and production quality. These conditions can lead to health hazards, equipment damage, and reduced operational efficiency if not monitored and controlled properly. To overcome these challenges, an IoT-based Industrial Hazard Detection System with Wireless Load Operation is proposed using embedded system and IoT technologies. A microcontroller is used as the central unit to interface with various sensors such as LM35 for temperature measurement, DHT11 for humidity monitoring, and MQ135 for detecting harmful gases. An LCD display is integrated to show real-time values of temperature, humidity, and gas levels locally. The sensor data is continuously monitored and transmitted via Wi-Fi using the MQTT protocol to an webpage, and is analyzed to identify abnormal or unsafe conditions. When hazardous gas levels or environmental imbalances are automatically detected, activates the system preventive mechanisms such as an exhaust fan to minimize risk. All the sensed data is transmitted to an IoT-based webpage, enabling real-time remote monitoring from anywhere. Additionally, a mobile-based wireless load control feature is implemented to allow safe operation of electrical loads without physical contact, the usage of these technique avoid to reduces the risk of electric shock in high-humidity environments. The proposed system enhances industrial safety, reduces human intervention, minimizes errors, and improves overall efficiency through real-time monitoring, automation, and intelligent control, thereby ensuring a safer and more reliable industrial working environment.
Kewords
Industrial IoT (IIoT), Sensor Networks, Hazard Detection, Automation, Remote Monitoring, Smart Control Systems.
Reference
[1] Z. Yong, Z. Liyi, H. Jianfeng, B. Zhe and Y. Yi, “An indoor gas leakage source localization algorithm using distributed maximum likelihood estimation in sensor networks,” Springer - Journal of Ambient Intelligence and Humanized Computing, vol. 10, pp. 1703–1712, November 2017. [2] Hongwei Li, Haoyang Li, H. Pei and Z. Li, “Leakage detection of HVAC pipeline network based on pressure signal diagnosis,” Springer - Building Simulation, vol. 12, pp. 617–628, June 2019. [3] Q. Han, P. Liu, H. Zhang, and Z. Cai, “A Wireless Sensor Network for Monitoring Environmental Quality in the Manufacturing Industry,” IEEE Access, vol. 7, pp. 80764–80773, June 2019. DOI: 10.1109/ACCESS.2019.2920838. [4] Knowles W, Prince D, Hutchison D, et al. A survey of cyber security management in industrial control systems[J]. International journal of critical infrastructure protection, 2015, 9: 52-80. [5] Sankalp Raghuvanshi, Kalpana Singh, “Light Fidelity: The Future of Data Communication,” International Journal of Engineering Research & Technology, 2020,9. [6] R.Mahendran, “Integrated Li-Fi (Light Fidelity) For Smart Communication through Illumination,” IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2016, 53-56. [7] R. A. Ramlee, M. A. Othman, M. H. Leong, M. M. Ismail and S. S. S. Ranjit, "Smart home system using android application," Information and Communication Technology (ICoICT), 2013 International Conference of, Bandung, 2013, pp. 277-280. [8] M. Asadullah and A. Raza, "An overview of home automation systems," 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI), Rawalpindi, 2016, pp. 27-31, doi: 10.1109/ICRAI.2016.7791223. [9] ZHU Qing,LI Yan-ping. The Design of sensing system of mechanical assembly line based on Internet of things [J]. Information Technology & Informatization, 2018, 225(12):133136. [10] KANG Cheng-bo, YANG Hui-bin, YAN Juan, et al. Remote Control and Monitoring System Based on IOT Industrial Robots[J]. Control and Instruments in Chemical Industry, 2019, 046(005):367-3. [11] Macaulay T, Singer B L. Cybersecurity for industrial control systems: SCADA, DCS, PLC, HMI, and SIS[M]. Auerbach Publications, 2016. [12] N. A. Pantazis, S. A. Nikolidakis, and D. D. Vergados, “Energy-Efficient Routing Protocols in Wireless Sensor Networks: A Survey,” IEEE Communications Surveys & Tutorials, vol. 15, no. 2, pp. 551–591, 2013. [13] P. Spachos, L. Song, and D. Hatzinakos, “Gas Leak Detection and Localization System Through Wireless Sensor Networks,” 11th Annual IEEE Consumer Communications and Networking Conference, 2014. [14] A. Varma, S.Prabhakar, and K. Jayavel “Gas Leakage Detection and Smart Alerting and Prediction Using IoT,” International Conference on Internet of Things and Applications (IOTA), IEEE, 2017. [15] J. Yoon, H. Kim, and S. Park, "Smart IoT Safety Platform for Accident Prevention in Industrial Environments," in Proc. ACM Int. Conf., 2024, pp. 210-215.. [16] U. Ejaz, W. Ramon, P. Jeol, and M. Blessing, "IoT for Hazard Detection and Worker Safety Monitoring," International Journal of Engineering Research and Applications, vol. 15, no. 1, pp. 45-52, Jan. 2025. [17] M. N. A. Ramadan, S. Hassan, and A. El-Sayed, "Real-Time IoT-Powered AI System for Industrial Air Quality Monitoring," Journal of Environmental Monitoring Systems, vol. 12, no. 3, pp. 201-210, 2024. [18] T. Sepanosian, R. Kumar, and L. Das, "IoT-Enabled Multi-Agent System for Hazard Detection in Construction Sites," Procedia Computer Science, vol. 235, pp. 150-158, 2025. [19] Z. Woźniak, P. Nowak, and K. Kowalski, "Integrated Hazard Detection System Using Machine Learning and IoT," Sustainability, vol. 17, no. 23, pp. 10584-10592, 2025. [20] C. L. Kok, M. Tan, and J. Lee, "Energy-Efficient IoT-Based Hazard Detection System Using ESP32 CAM," Sensors, vol. 25, no. 6, pp. 1761-1770, 2025.
