Artificial Intelligence and Multi-Sensor Fusion Based Universal Fire Detection System for Smart Buildings Using IoT Techniques

Abstract

The present work focuses on the development of a fire prevention system for buildings. The first subsystem identifies electrical fire causes. The system integrates nonvisual and visual fire detection techniques. The nonvisual approach is based on a fuzzy logic model that fuses electric wire current and temperature information. The visual technique is based on an artificial intelligence approach for fire detection. A deep learning model is deployed on an embedded platform, the Raspberry Pi 3B+. The transfer learning approach applies to a MobileNet deep learning model. The second subsystem identifies the general causes of fire and the necessary actions to be taken to prevent it. The developed fire detection system aims at the early detection of fire with fewer false positives.

KEYWORDS:

• Actuator
• Building fire
• Deep learning
• Nonvisual technique
• Sensor
• Visual technique

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Department of Science and Technology (DST), Ministry of Science and Technology [grant number TMD/CERI/BEE/2016/081].

Notes on contributors

Anshul Gaur

Anshul Gaur received an MTech degree in instrumentation from the National Institute of Technology, Kurukshetra, India, in 2007. He is currently pursuing a PhD degree with the Council of Scientific and Industrial Research (CSIR), Central Building Research Institute (CBRI), Roorkee, and Uttarakhand Technical University, Dehradun, India. He is a senior research fellow of the Energy Efficiency Group, CSIR, CBRI, Roorkee, India. His research interests include intelligent buildings, wireless sensor networks, fire sensing technologies, and deep learning technologies for object detection. Email: [email protected]

Abhishek Singh

Abhishek Singh received an ME degree in electronics and communication engineering from Punjab University, Chandigarh, India, in 2013. He is currently pursuing a PhD degree with the Council of Scientific and Industrial Research (CSIR), Central Building Research Institute Roorkee (CBRI), Roorkee, and Uttarakhand Technical University, Dehradun, India. He is a senior research fellow of the Energy Efficiency Group, CSIR, CBRI, India. His research interests include smart buildings, wireless sensor-networks, cyber physical systems, instrumentations, and measurements. Email: [email protected]

Anurag Verma

Anurag Verma received a bachelor's degree in electrical & electronics with honors from the IMS Engineering College, Ghaziabad affiliated to UPTU, Lucknow, India, in 2015, Master's degree in electrical engineering (Power Electronics & Drives) from Thapar University, Patiala-Punjab, India in 2017 and PhD degree with the Council of Scientific and Industrial Research- Central Building Research Institute (CSIR-CBRI), Roorkee, and the Thapar Institute of Engineering & Technology, Patiala-Punjab, India. He has filed and published 2 national patents. Currently he is assistant professor in Institute of Engineering & Technology, Lucknow-India. His research interests include energy management systems, smart buildings, prediction techniques, and optimization. Email: [email protected]

Anuj Kumar

Anuj Kumar received an MPhil degree in instrumentation from the Indian Institute of Technology Roorkee, India, in 2000, an MTech degree in instrumentation from the National Institute of Technology Kurukshetra, India, in 2004, and a PhD degree in embedded systems from the Indian Institute of Technology Delhi, India, in 2011. He was a post-doctoral fellow with the University of Seoul, Seoul, South Korea, the University of Pretoria, RSA, and the National University of Singapore, Singapore, from 2011 to 2015. He joined the Department of Energy Efficiency, CSIR-Central Building Research Institute at Roorkee, in 2016, as a Ramanujan Fellow and an assistant professor (CSIR Faculty). He has authored/co-authored over 90 research publications in different international journals, conferences, and book chapters. He has been awarded 2 national copyrights and filed 1 international, and 4 national patents. He is currently an associate editor of IEEE Access and also holds an IEEE Senior Member (2016). His research interests include sensing applications, wireless sensor-actuator networks, product development of energy-efficient buildings, safety technologies for buildings, and the internet of things. Corresponding author. Email: [email protected]