Abstract—Aiming at the teaching challenge of cultivating
integrated talents of Internet of things worldwide, and
combining with the social background of fire rescue and
management problems, We propose a virtual simulation
teaching platform for the Internet of Things under the
background of intelligent fire protection application. Based on
the overall structure of the Internet of Things, different fire
scenarios that cannot be simulated in real life are constructed
through virtual simulation technology. OMNet++ technology is
adopted to carry out virtual deployment of fire nodes for the
overall structure of the building, and experiments such as
cluster routing simulation, communication transmission
simulation and wireless sensor node data acquisition simulation
are designed. Meanwhile, a 3D fire data model is established
using big data to simulate the best fire extinguishing scheme and
the best escape strategy. From aspects of the Internet of Things
system design and development, sensor principle and
application, Internet of Things communication technology and
Internet of Things data storage and application, we have
realized the efficiency, innovation and challenge of the Internet
of Things teaching.The virtual simulation teaching platform we
built has been deployed and put into practical teaching, which
has received positive response from students and achieved
excellent teaching effect.
Index Terms—The Internet of things, intelligent fire protection, virtual simulation teaching.
The authors are with College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China (e-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org, email@example.com).
Cite: Guiling Sun, Sirui Wang, Hai Wang, and Yi Gao, "Research on the Construction of Intelligent Fire Protection Virtual Simulation Teaching Platform Based on Internet of Things," International Journal of Information and Education Technology vol. 11, no. 10, pp. 450-455, 2021.Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).