Proceedings of the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025)

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Laboratory Security Early Warning System Based on the Visual Cloud Platform

Authors
Hongbo Shu1, Yinuo Sun1, Jiahui Zhang1, *, Yuxin Duan2, Yan Chen2
1School of Safety Engineering, Shenyang Aerospace University, Shenyang, 110136, China
2School of Computer Science, Shenyang Aerospace University, Shenyang, 110136, China
*Corresponding author. Email: 2646383458@qq.com
Corresponding Author
Jiahui Zhang
Available Online 22 June 2025.
DOI
10.2991/978-2-38476-432-7_16How to use a DOI?
Keywords
laboratory security; visual cloud platform; Internet of Things technology; big data analysis; intelligent early warning
Abstract

This project is committed to design and implement a laboratory security early warning system based on the Internet of things, the project adopts STM32F103RCT6 as the master chip, using WIFI module to realize the equipment networking, integrated the smoke sensor, flame detection sensor, infrared pyroelectric body detection sensor and temperature and humidity sensor equipment, in order to realize the comprehensive monitoring of the laboratory environment. When security risks such as smoke, flame, illegal intrusion or abnormal temperature and humidity are detected, the system will immediately trigger the buzzer alarm, and visually display the alarm information on the large screen through the OneNet Internet of Things cloud platform, and support real-time view on the computer end. The implementation of this system aims to improve the safety management level of the laboratory, reduce the risk of safety accidents, adapt to the needs of the rapid development of higher education and scientific research activities, and provide an effective supplement and improvement for the existing safety prevention system.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
22 June 2025
ISBN
978-2-38476-432-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-432-7_16How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hongbo Shu
AU  - Yinuo Sun
AU  - Jiahui Zhang
AU  - Yuxin Duan
AU  - Yan Chen
PY  - 2025
DA  - 2025/06/22
TI  - Laboratory Security Early Warning System Based on the Visual Cloud Platform
BT  - Proceedings of the 2025 4th International Conference on Social Sciences and Humanities and Arts (SSHA 2025)
PB  - Atlantis Press
SP  - 133
EP  - 141
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-432-7_16
DO  - 10.2991/978-2-38476-432-7_16
ID  - Shu2025
ER  -