Abstract

Research is underway on services and systems that provide real-time alerts for suffocating gases and potentially explosive materials, but currently smart bend type services are lacking. This study supports real-time identification of explosion hazards due to static electricity in the workplace and immediate elimination of accident occurrence factors, real-time monitoring of worker status and workplace hazards (oxygen, hazardous chemical concentration), and immediate warning and data in case of danger. We propose a method of establishing an accident prevention system through analysis. In this way, various accidents that may occur in industrial sites are monitored using IoT-based intelligent sensor nodes, wireless network technology, data processing middleware, and integrated control system, and real-time risk information at the industrial sites is prevented and accidents are prevented. By supporting a safe working environment, the company can significantly reduce costs compared to post-procurement costs.

Keywords

• Choking Gas;
• Explosive Hazard Area;
• Smart Bend Monitoring;
• Iot System Monitoring

• 질식가스;
• 폭발위험지역;
• 스마트밴드모니터링;
• Iot시스템감시;

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References

1. K.H.Kook, "A Study on the Current Status and Prevention Measures of Accidents in Chemical Plants," Master's Thesis, Chonnam National University, 1999.
2. H.M.Kwon, "A Study on the Accident Analysis Factors for Accident Prevention for Chemical Plant Accidents," Yonsei University Graduate School, 1999.
3. American Institute of Chemical Engineers, Dow's Fire and Explosion Index Hazard Classification Guide, AIChE, 7th ed, New York, 1994.
4. API, Risk-Based Inspection Base Resource Document : API-581, American Petroleum Institute, 1st ed., New York, 2000.
5. Britter, R.E. and McQuaid,J., "Workbook on the Dispersion of Dense Gases, Health and Safety Executive(HSE), No.17, U.K, 1988.
6. H.W.Noh, "A Study on the Introduction of Risk Management in Domestic Chemical Industry," Master's Thesis, Inje University, 2001.
7. Korea Sensor Research Institute, "Principles and Importance of Gas Sensors," Korea Sensor Research Institute, 2016.
8. Pir sensor , http://www.komantech.co.kr, komantech.
9. S.G.Kim, T.H.Kim, S.W.Tak, "Performance Evaluation of RSSI-based Various Trilateration Localization", Journal of the Korea Institute of Information and Communication Engineering, Vol.15, No.2, pp.0493-0496, 2011. https://doi.org/10.6109/jkiice.2011.15.2.493
10. J.H.Lee, "A Study on Indoor Positioning Algorithm using Combining WiFi and Beacon on Smart Phone ", Journal of the Korea Institute of Information and Communication Engineering May 26, 2015.
11. H.Liu, "Survey of Wireless Indoor Positioning Techniques and systems,"IEEE Transactions on Systems, Man, and Cybernetics- Prt C: Applications and Reviews, Vol.37, No.6, 2007.
12. J,Jun. et al,"Social-Loc:Improving indoor localization with social sensing,"Proceedings of the 11th ACM Conference on Computing pp.88-106, 2013.
13. Z.Li,Z. Deng,W. Liu, and L.Xu, "A Novel Three-Dimensional Indoor Localization Algorithm Based on Multi-Sensors,"China Satellite Navigation Conference, 2013.
14. IBeacon, 2018, http://www.tadlys.co.il/
15. Y.C.Ahn, "Development of Convergence Smart Home Platform Based on Image Processing and Sensor Network in IoT Environment", the korea Internet of Things Society, Vol.2, No.3, pp.37-41, 2016.