Empowering Local Authorities in Fire Services: The Intervention of Digital Twin Technology and Artificial Intelligence.
DOI:
https://doi.org/10.64252/q9qz8b52Keywords:
AI (Artificial Intelligence), Digital Twin, Predictive Modelling, Internet of Things, Machine Learning, Robotic Assistance, Real Time Monitoring.Abstract
It’s a high time that, the local bodies who are solely responsible for protecting human lives and public as well as government property require a paradigm shift in their approach towards tackling the disaster management especially the fire disaster. With the fast-changing scenario of advancement and development in the life style of public at large and also due to accelerating urbanization, the problem of Fire Disaster has acquired a totally new and complex dimension which has further become more complicated owing to climate change and insurge of high-rise structures. Similarly, absence of exposure to new technological advancements to local bodies supporting staff who are responsible for combating the fire cases and the decision makers, who are responsible to bring necessary developmental changes in the available resources, has brought back the status of disaster management capabilities and thus the local bodies presentlyseem to be not equipped to face the disaster effectively and efficiently. It is, therefore essential to adopt and adapt newest technologies such as Artificial Intelligence, Digital Twin Technology, Machine Learning and Internet of Things (Iot) and apply these modern technology-oriented designs and tools to support and augment the skills already possessed by the local body representatives and who are already aware of the principles of disaster management but with the coupling of the newest and modern technology their capabilities can be more sharper and advanced which is the need of the hour.This paper is an attempt to highlight this need by which the present human resource at local bodies will be able to sharpen their skills of disaster management and will be more suitably armed to tackle the fire disasters more efficiently and effectively. It is expected that by adopting to these changes where the exposure to predictive analysis and risk management, data analysis, predictive modelling, early warning system, real-time monitoring, fire behavior prediction, and anticipation besides introduction to twin technology, can bring out sea changes positively in the management capabilities of local bodies.