Paper Details

Name: Irshad Tamboli, Zamarrud Ansari
Country: India

Year: 2026
Volume: Volume No: 13, Issue: 1, Year: 2026
Page Number: 309-320
DOI: https://doi.org/10.5281/zenodo.20794956

Manufacturing performance and efficiency have greatly improved through the application of intelligent automation, interconnected manufacturing systems, and advanced digital technologies, owing to industrial transformation. However, these advances have created some of the most complex fire safety problems in the world, which cannot be handled by traditional means of protection. Traditional fire safety infrastructure was built for a system that has continuous human presence and operation for simple and predictable industrial plants, while modern autonomous industries have cyber-physical systems, robotic manufacturing cells, high packing density for energy storage, additive manufacturing processes, and real-time
data-driven operations. These environments require safety mechanisms that can anticipate, learn, and adapt to constantly changing risks, rather than simply reacting to risks when they arise. This study introduces the concept of Cognitive Fire Safety Infrastructure (CFSI), a new approach to consider fire safety as an organisational capacity that can provide predictive and intelligent functions. It is designed to allow continuous monitoring, learning, and adaptive decision-making through the integration of equipment self-awareness, dynamic hazard mapping, and autonomous suppression orchestration. A model is proposed that places great importance on preventing, being resilient, and being operational, going beyond traditional methods and contributing to the protection of autonomous industrial environments for future needs.