Water Efficient Suppression Material Fire Behaviour and AI Driven Safety in Future Fire Protection Research

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The availability of water is decreasing because of climate change, the use of environmentally friendly building materials is becoming more widespread, and the operation of intelligent infrastructure is growing more challenging. Every one of these issues is something that contemporary fire protection systems have never encountered before. To improve fire protection tactics that are both sustainable and intelligent, this study investigates three research pillars that are interconnected with one another: (i) the development of water-efficient suppression systems; (ii) the fire behavior of developing construction materials; and (iii) AI-driven safety and monitoring approaches. The results of experimental evaluations of high-pressure water mist and hybrid water–foam systems revealed water conservation of fifty to seventy percent in comparison to conventional sprinklers, with only small extensions in knockdown time. Compared to hybrid systems, mist systems demonstrated superior residual cooling, while hybrid systems achieved a balance between rapid flame suppression and long-term temperature drop. Cross-laminated timber (CLT), biocomposites, and lightweight cementitious panels were all subjected to fire testing, and the results showed that each of these materials reacted differently to heat and had a greater likelihood of having another fire. CLT was able to maintain heat conservation within the char layers, biocomposites exhibited surface delamination, and cementitious panels maintained their stability. The evidence presented here demonstrates that various materials require distinct suppression procedures. AI models that combine CNN-based detection, LSTM fire growth prediction, and reinforcement learning control were able to detect fires earlier, make accurate predictions, and reduce water use by 41% while speeding up suppression by 18%. It is clear from this that intelligent adaptive suppression has the potential to revolutionize the way we battle flames. Another finding from scenario modeling was that multi-agent techniques, such as mist cooling and dry chemicals, performed exceptionally well for hydrogen fire scenarios. These scenarios are extremely significant for the infrastructure of renewable energy sources. When it comes to the development of the next generation of fire prevention systems that are sustainable, intelligent, and resilient, these findings highlight the importance of real-scale validation, standardized testing, and interdisciplinary integration.

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