Browse > Article
http://dx.doi.org/10.13067/JKIECS.2022.17.6.1267

Risk Situation Detection Safety Helmet using Multiple Sensors  

Woo-Yong, Choi (Dept. of Electronic Engineering, Namseoul University)
Hyo-Sang, Kim (Dept. of Electronic Engineering, Namseoul University)
Dong-Hyeon, Ko (Dept. of Electronic Engineering, Namseoul University)
Jang-Hoon, Lee (Dept. of Electronic Engineering, Namseoul University)
Seung-Dae, Lee (Dept. of Electronic Engineering, Namseoul University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.17, no.6, 2022 , pp. 1226-1274 More about this Journal
Abstract
In this paper, we dealt with a safety helmet for detecting dangerous situations that focuses on falling accidents and gas leaks, which are the main causes of industrial accidents. the fall situation range was set through gravity acceleration measurement using an acceleration sensor, and as a result, a fall detection rate of 80% could be confirmed. .In addition, the dangerous gas concentration was measured through a gas sensor, and when a digital value of 188 or more was output through a serial monitor, it was determined as a gas dangerous situation, and a fall warning message and a gas warning message could be checked through a smart-phone application produced based on the app inventor program.
Keywords
Acceleration Sensor; CO Detection; Falling Detection; Gas Detection Sensor; Industry Safety Helmet;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 D. Lee, W. Kim, J. Kim, S. Lim, and K. Kong, "Smart Safety Helmet Using Arduino," J. of the institute of internet broadcasting and communication. vol. 19, no. 1, 2019, pp. 77-83.   DOI
2 A. Kurniawan, Arduino Nano A Hands-on Guide for Beginner. Tasikmalaya: PE Press, 2019.
3 K. Atharva, A. Diksha, and S. Pushkar, "Low-cost Compact Theft-Detection System using MPU-6050 and Blynk IoT Platform," In Proc. 2020 IEEE Bombay section signature conf. (IBSSC), Mumbei, India, Dec. 2020, pp. 113-118.
4 O. Dundar, Home Automation with Intel Galileo. Birmingham: Packt Publishing. 2015.
5 Y. Misra, Programming and Interfacing with Arduino. London: CRC Press, 2021.
6 Y. Ju, H. Lee, and J. Oh, "Design and Implementation of Gas Leakage Alarm IoT System for Safety Helmet," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 6, 2018, pp. 1411-1416.   DOI
7 Korea Gas Safety Corporation, "Gas accident Yearbook.," Publish report, Feb. 2022.
8 D. Wolber, "App inventor and real-world motivation," In Proc. of the 42nd ACM technical symp. on Computer science education (SIGCSE'11), Dallas, USA, March 2011, pp. 601-606.
9 W. Mo, J. An, S. Yoo, J, Lim, and B. Lee, "The Development of Tire Safety Recognition Application with Pressure and Laser Sensors," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 4, 2021, pp. 725-734.   DOI
10 S. Lee and G. Lee, "Development of Simulation Method of Doppler Power Spectrum and Raw Time Series Signal Using Average Moments of Radar Wind Profiler," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no. 6, 2020, pp. 1037-1044.   DOI
11 S. Choe, "Comparison and Analysis of Deaths in Construction Industry in OECD Countries," Construction & Economy Research Institute of Korea Research report, Sept. 2020.
12 Ministry of Employment and Labor, "2020 Industrial Accident Analysis Booklet," Policy data report, Dec. 2021.
13 H. Lee, "Industrial accident status at the end of March 2021," Ministry of Employment and Labor policy data report, May 2021.