Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Real Time Temperature Monitoring System for Plating Process

도금공정 실시간 원격 온도 모니터링 시스템

  • Jung, Sun-Wung (Department of Industrial and Management Engineering, Incheon National University) ;
  • Choi, Tae-Lin (Department of Industrial and Management Engineering, Incheon National University) ;
  • Yoo, Woosik (Department of Industrial and Management Engineering, Incheon National University) ;
  • Kim, Byung Soo (Department of Industrial and Management Engineering, Incheon National University)
  • 정선웅 (인천대학교 산업경영공학과) ;
  • 최태린 (인천대학교 산업경영공학과) ;
  • 유우식 (인천대학교 산업경영공학과) ;
  • 김병수 (인천대학교 산업경영공학과)
  • Received : 2015.07.20
  • Accepted : 2015.11.27
  • Published : 2015.12.31
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Abstract

A number of plating companies have been exposed to the risk of fire due to unexpected temperature increasing of water in a plating bath. Since the companies are not able to forecast the unexpected temperature increasing of water and most of raw materials in the plating process have low ignition temperature, it is easy to be exposed to the risk of fire. Thus, the companies have to notice the changes immediately to prevent the risk of fire from plating process. Due to this reason, an agile and systematic temperature monitoring system is required for the plating companies. Unfortunately, in case of small size companies, it is hard to purchase a systematic solution and be offered consulting from one of the risk management consulting companies due to an expensive cost. In addition, most of the companies have insufficient research and development (R&D) experts to autonomously develop the risk management solution. In this article, we developed a real time remote temperature monitoring system which is easy to operate with a lower cost. The system is constructed by using Raspberry Pi single board computer and Android application to release an economic issue for the small sized plating manufacturing companies. The derived system is able to monitor the temperature continuously with tracking the temperature in the batch in a short time and transmit a push-alarm to a target-device located in a remoted area when the temperature exceeds a certain hazardous-temperature level. Therefore, the target small plating company achieves a risk management system with a small cost.

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References

  1. Bae, Y.H. and Kim, H.C., A Study on real time remote monitoring system for equipment. Journal of the Korean Institute of Plant Engineering, 2014, Vol. 19, No. 4, pp. 39-47.
  2. Choi, J.M., Park, K.W., Kim, J.H., Ahn, D.S., Oh, S.Y., and Kim, Y.J., Context-aware Temperature Control System Using sensor Network. The korea Society of Digital industry and Information Management, 2007, Vol. 3, No. 1, pp. 27-34.
  3. Dhaval, C.D., Divyesh, D.D., and Shraddha, C.T., Smart Projectors using Remote Controlled Raspberry Pi. International Journal of Computer Applications, 2013, Vol. 82, No. 16, pp. 6-11. https://doi.org/10.5120/14245-2250
  4. Goradiya, B.C. and Pandya, D.H.N., Real time Monitoring and Data logging System using ARM architecture of Raspberry Pi and Ardiuno UNO. International Journal of VLSI and Embedded Systems-IJVES, 2013, Vol. 4, No. 06118, pp. 513-517.
  5. GRAY, C.S. and WATSON, S.J., Physics of failure approach to wind turbine condition based maintenance. Wind Energy, 2010, Vol. 13, No. 5, pp. 395-405. https://doi.org/10.1002/we.360
  6. http://en.wikipedia.org/wiki/Raspberry_Pi.
  7. http://www.android.com.
  8. http://www.nfds.go.kr.
  9. https://www.raspberrypi.org.
  10. Jain, S., Vaibhav, A., and Goyal, L., Raspberry Pi based interactive home automation system through E-mail. Optimization, Reliability, and Information Technology(ICROIT), International Conference, 2014, pp. 277-280.
  11. Jose-Luis, J.G., Jose-Luis, P.L., Juan-Luis, P.Y., David B.M., and Jose-Enrique., Performance and Results of the Triple Buffering Built-In in a Raspberry PI to Optimize the Distribution of Information from a Smart Sensor. Distributed Computing and Artificial Intelligence, 11th International Conference Advances in Intelligent Systems and Computing, 2014, Vol. 8, pp. 279-286.
  12. Kim, Y.D., Kim, H.R., Kim, D.S., and Kim, G.I., Development of the temperature monitoring system for insulated phase bus. Research Institute of Industrial Science and Technology, 2005, Vol. 19, No. 1, pp. 66-72.
  13. Kim, Y.G., Kim, D.S., Lee, W.J., and Heo, S.Y., Development of camera module production process management system based on a sensor network. Journal of Society of Korean Institute of Information Technology, 2010, Vol. 8, No. 5, pp. 93-101.
  14. Lagu, S.S. and Deshmukh, S.B., Raspberry Pi for automation of water treatment plant, Advances in Computing. Communications and Informatics(ICACCI), International Conference, 2014, pp. 1999-2003.
  15. Lee, J.H., Lee, S.H., and Oh, H.O., Development of a Process Monitoring System for Real-Time Process Control. Journal of the Society of Korea Industrial and System Engineering, 2008, Vol. 31, No. 1, pp. 92-100.
  16. Lee, K.H., Yoon, T.H., and Oh, J.T., Development of Real-Time Process Monitoring System in Shipbuilding Industry. Society of Korea Institute of Industrial, Autumn Conference, 2013, pp. 607-611.
  17. Park, J.J. and Cho, J.H., A Research on the Design of an Automatic Manufacturing System and the Real-time Process Monitoring System using ZigBee. Journal of the Korean Institute of Plant Engineering, 2009, Vol. 14, No. 4, pp. 125-131.
  18. Simon, M., Raspberry Pi Cookbook. 1st ed., O'Reilly Media, 2014.
  19. Steven, G.W., Smart Home Automation with Linux and Raspberry Pi. 2nd ed., Apress, 2013.