Browse > Article
http://dx.doi.org/10.7842/kigas.2019.23.5.35

Development of IoT-based Safety Management Method through an Analysis of Risk Factors for Industrial Valves  

Kim, Jung-Hoon (Institutes of Gas R&D, Korea Gas Safety Corporation)
Kim, Young-Gu (Institutes of Gas R&D, Korea Gas Safety Corporation)
Publication Information
Journal of the Korean Institute of Gas / v.23, no.5, 2019 , pp. 35-43 More about this Journal
Abstract
The safety of industrial valves, which are the core parts of plant facilities, are managed by manpower and there are difficulties because of side area for inspection and limited accessibility due to the nature of facilities. The industrial valves used in plant facilities cause problems such as interrupted production; a loss of life due to leak or explosion of poisonous material and flammable gases, and difficulty in locating accident positions in the event of leakage or failure. Therefore, safety management and control systems based on IoT technology are needed. This study is about the development of risk factor prediction technique among the safety management of industrial valves through IoT- based wireless communication and the development of actuator control system. We have developed IoT-based industrial valve safety management techniques to prevent accidents caused by main risk factors by conducting an analysis of the structural characteristics of valves and an analysis of the causes of main risk factors through review of failure data and literature and an analysis of accident scenarios.
Keywords
industrial valves; IoT; safety management system; accident prevention;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Goncalves, L. F., Bosa, J. L., Balen, T. R., Lubaszewski, M. S., Schneider, E. L. and Henriques, R. V. "Fault Detection, Diagnosis and Prediction in Electrical Valves Using Self-Organizing Maps", J Electron Test., 27(4), 551-564, (2011)   DOI
2 Tan WW, Huo H, "A generic neurofuzzy model-based approach for detecting faults in induction motors", IEEE Trans Ind Electron, 52(5),1420-1427, (2005)   DOI
3 Park K. D., Lee I. J., "A Study on Safety Enhancement of Petrochemical Facility by Using the Latest Equipment Diagnosis Technology", Korean Journal of Hazardous Materials, 2(2), 1-13, (2014)
4 Hari Prasad, M., Rami Reddy, G., Srividya, A. and Verma, A. K., "Reliability prediction of control valves through mechanistic models"., Journal of Mechanical Engineering Research, 2(3), 52-57, (2010)
5 "Handbook of Reliability Prediction Procedures for Mechanical Equipment", Naval Surface Warfare Center Carderock Division, West Bethesda, Maryland, (2011)
6 "Fluid power actuators and control systems", Rotork Fluid Systems, (2012)
7 "ValveWatch Introduction", MRC Global. (2011)