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ISSN:
2377-2891(Print); 2377-2905(Online)
Frequency:
Bimonthly
Editor-in-Chief:
Prof. Eric C. K. Cheng
Associate Executive Editor:
Ms. Jenny Jiang
DOI:
10.18178/ijlt
Abstracting/Indexing:
Google Scholar; Crossref, CNKI,
etc.
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Editor-in-Chief
Prof. Eric C. K. Cheng
Professor & Vice President (Academic)
Yew Chung College of Early Childhood Education, Hong Kong, China
As the Editor-in-Chief of IJLT, I invite you to contribute your scholarly work to our esteemed publication. IJLT serves as a beacon for original and impactful academic contributions in the realm of education, fostering multidisciplinary research and development to enhance teaching-learning processes globally. We welcome submissions spanning a wide spectrum of topics, from innovative program development to the integration of digital tools in education. Our scope encompasses areas such as student leadership, diversity in education, and collaborative initiatives, reflecting our commitment to a sustainable and inclusive society. [
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What's New
2024-02-29
Vol. 10, No. 1, 2024 has been published!
2024-02-07
Welcome Prof. Eric C. K. Cheng from Yew Chung College of Early Childhood Education, Hong Kong, China to join IJLT Editorial Board as Editor-in-Chief!
2023-12-13
IJLT will adopt Article-by-Article Work Flow from 2024. For the Bimonthly journal, each issue will be released at the end of the issue month.
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2022
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Volume 8, No. 1, March 2022
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Design and Research of Virtual Simulation Experiment of Optimal Fire Escape Strategy Based on Internet of Things
Guiling Sun, Sirui Wang, Yi Gao, and Hai Wang
College of Electronic Information and Optical Engineering, Nankai University, Tianjin, China
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
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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