Abstract—With the urgent demand for Internet of Things professionals, colleges and universities are faced with the challenge of training integrated talents of Internet of Things. Combined with the social background of high incidence of fire and difficulty in escape of high-rise buildings, we designed the simulation experiment of optimal escape route selection for fire distribution prediction based on the intelligent fire virtual simulation teaching platform. The simulation experiment takes Unity3D as the tool, comprehensively utilizes computer simulation technology and big data technology of Internet of Things to establish mathematical models of fire data in various situations, and dynamically simulates the scope, intensity and spread trend of different fires. In addition, according to different fire situations, combined with the overall structure of the building and multi-sensor data, based on the optimal path planning principle, the system plans the optimal escape route for personnel in case of fire, so as to guide students to conduct fire escape drills based on different real scene simulation. The teaching system takes the three-layer structure of the Internet of Things as the main line and adopts the "bottom-up" teaching concept to enable students to master the theoretical knowledge and key technologies of the Internet of Things. By completing the simulation experiment designed by us, students should be able to solve practical problems by comprehensively applying Internet of Things engineering technology. The simulation experiment has been put into practical teaching, which has received positive response from students and achieved good teaching effect.
 

Index Terms—optimal fire escape strategy, Internet of Things teaching, numerical simulation of fire

Cite: Guiling Sun, Sirui Wang, Yi Gao, and Hai Wang, "Design and Research of Virtual Simulation Experiment of Optimal Fire Escape Strategy Based on Internet of Things," International Journal of Learning and Teaching, Vol. 8, No. 1, pp. 8-14, March 2022. doi: 10.18178/ijlt.8.1.8-14