An Intelligent Temperature Measurement and Control System for the Steel Mill

  • Yuhang Huang
  • Yeqing WangEmail author
  • Gefei Yu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 834)


To improve the measurement precision and the drift of temperature controlling, an intelligent temperature measurement and control system based on microcontroller has been designed. This system is suited for temperature controlling of smelting special steel furnace in the steel mill. It also has functions of the real-time detection, display, and over temperature alarm. The fitting curve and analysis results were obtained based on the actual measured data. Experimental results show that the error between the actual measured data and the fitting calculation data is less than \(0.1\,{}^{\circ }\)C, indicating that the system has good performance.


Thermocouple Temperature control Data fitting 



This paper was supported by the project of Electronic Information Engineering Major in Jiangsu Province (Grant No. 2017GGZY02).


  1. 1.
    Lu, L., Gao, Y.: The temperature controlling system based on S3C44B0 (In Chinese). Inf. Microcomput. 5–2, 113–115 (2006)Google Scholar
  2. 2.
    Ding, Q., Liu, J., Zeng, X., Li, W.: Optimization of casting temperature control system controlled by single chip microcomputer. Spec. Cast. Nonferrous Alloys 38(03), 254–256 (2018)Google Scholar
  3. 3.
    Li, X., Yao, G.: The temperature controlling technology of high precision. Radio Technol. 1, 35–36 (2005)Google Scholar
  4. 4.
    Wang, M.: Temperature controlling instrument of heat treatment. Electric Drive Autom. 3, 21–24 (2007)Google Scholar
  5. 5.
    Chen, J.: The intelligent instrument design of temperature controlling system in resistance furnace and its application. Master Dissertation, Jiangsu University (2007)Google Scholar
  6. 6.
    Wan, X., Liu, B.: Idea of realizing in solid relay instead of ac contactor based on single chip microcomputer. Digit. Technol. Appl. 4, 24–25 (2013)Google Scholar
  7. 7.
    Chen, Y., Jiang, H., Zhao, W., et al.: Fabrication and calibration of Pt-10%Rh/Pt thin film thermocouples. Measurement 48, 248–251 (2014)CrossRefGoogle Scholar
  8. 8.
    Gutmacher, D., Foelmli, C., Vollenweider, W., et al.: Comparison of fas sensor technologies for fire gas detection. Proced. Eng. 25, 1121–1124 (2011)CrossRefGoogle Scholar
  9. 9.
    Zhao, J., Feng, H., Xu, Z., et al.: Real-time automatic small target detection using saliency extraction and morphological theory. Opt. Laser Technol. 47, 268–277 (2013)CrossRefGoogle Scholar
  10. 10.
    Huang, Y., Zhu, W., Jiang, H., J, X.: Design of the circuit in a portable tracing instrument based on GPS technology. Int. J. Appl. Innov. Eng. Manag. 1(2), 109–113 (2012)Google Scholar
  11. 11.
    Huang, Y., Zhu, W., Jiang, X.: A circuit design and its experimental analysis for electromagnetic flowmeter in measurement of sewage. Sens. Transducers 164(2), 36–43 (2014)Google Scholar
  12. 12.
    Huang, Y., Mo, S., Tang, L.: Design of fishing boat tracing instrument compatible with more navigation system. Fish. Mod. 2(2), 296–297 (2013)Google Scholar
  13. 13.
    Chen, J.: The common method of fitting for thermocouple temperature calculation formula of fitting. J. Univ. Petrol. 13(5), 73–77 (1989)Google Scholar
  14. 14.
    Shen, W., Zhang, S.: Thermocouple indexing manual. Stand. Lab. Instrum. Mach. Ind. 59–60 (1983)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Changzhou College of Information TechnologyChangzhouChina
  2. 2.Changzhou Institute of Mechatronic TechnologyChangzhouChina

Personalised recommendations