Fusion Application of Digital Twin and Internet of Things in Smart Firefighting
Yueyi Sun · Theoretical and Natural Science · 2025
This paper investigates the integrated application of digital twin technology and the Internet of Things (IoT) in smart firefighting systems. Traditional firefighting methods primarily rely on manual inspections, whereas smart firefighting achieves interconnectivity among devices and real-time monitoring through the IoT. Furthermore, it employs digital twin technology to construct dynamic simulation models, significantly enhancing the accuracy of fire warnings and the efficiency of rescue operations. From a technical perspective, digital twin technology functions through Building Information Modeling (BIM), computational fluid dynamics (CFD), and artificial intelligence (AI)-based prediction methods; IoT, on the other hand, operates through a layered architecture. Together, these technologies drive the development of real-time visualization, fire scenario simulation, and intelligent emergency response capabilities. This integration points the way toward building a more efficient and precise next-generation fire management system.