A Study on the Improvement of Fire Alarm System in Special Buildings Using Beacons in Edge Computing Environment


KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 217-224, Jul. 2022
https://doi.org/10.3745/KTCCS.2022.11.7.217,   PDF Download:
Keywords: IoT, Edge Computing, Beacon, Indoor Fire, Fire Alarm System
Abstract

Today, with the development of technology and industry, fire accidents in special buildings are increasing as special buildings increase. However, despite the rapid development of information and communication technology, human casualties are steadily occurring due to the underdeveloped and ineffective indoor fire alarm system. In this study, we confirmed that the existing indoor fire alarm system using acoustic alarm could not deliver a sufficiently large alarm to the in-room personnel. To improve this, we designed and implemented a fire alarm system using edge computing and beacons. The proposed improved fire alarm system consists of terminal sensor nodes, edge nodes, a user application, and a server. The terminal sensor nodes collect indoor environment data and send it to the edge node, and the edge node monitors whether a fire occurs through the transmitted sensor value. In addition, the edge node continuously generate beacon signals to collect information of smart devices with user applications installed within the signal range, store them in a server database, and send application push-type fire alarms to all in-room personnel based on the collected user information. As a result of conducting a signal valid range measurement experiment in a university building with dense lecture rooms, it was confirmed that device information was normally collected within the beacon signal range of the edge node and a fire alarm was quickly sent to specific users. Through this, it was confirmed that the "blind spot problem of the alarm" was solved by flexibly collecting information of visitors that changes time to time and sending the alarm to a smart device very adjacent to the people. In addition, through the analysis of the experimental results, a plan to effectively apply the proposed fire alarm system according to the characteristics of the indoor space was proposed.


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Cite this article
[IEEE Style]
L. T. Gyu, C. K. Seo, S. Y. Soon, "A Study on the Improvement of Fire Alarm System in Special Buildings Using Beacons in Edge Computing Environment," KIPS Transactions on Computer and Communication Systems, vol. 11, no. 7, pp. 217-224, 2022. DOI: https://doi.org/10.3745/KTCCS.2022.11.7.217.

[ACM Style]
Lee Tae Gyu, Choi Kyeong Seo, and Shin Youn Soon. 2022. A Study on the Improvement of Fire Alarm System in Special Buildings Using Beacons in Edge Computing Environment. KIPS Transactions on Computer and Communication Systems, 11, 7, (2022), 217-224. DOI: https://doi.org/10.3745/KTCCS.2022.11.7.217.