A Calibration Method Based on Dual Quadratic Fitting and Nine Parameters for Mining Non-Cooled Infrared Thermal Imager


  • College of Electrical and Information Engineering, Hunan University, Changsha 410 082
  • Eado Monitoring Technology Co., Ltd., Zhuhai 519 085
  • Hunan Province Cooperative Innovation Center for The Construction & Development of Dongting Lake Ecological Economic Zone, Hunan University of Arts and Science, Changde 415 000


Mining Non-Cooled Infrared Thermal Imager, Dual Quadratic Fitting, Nine Parameters, Calibration Steps, Downhole Temperature, Anomalous Region.


Infrared detection method is mainly used to detect infrared energy field, through which the spontaneous combustion zone of coal can be comprehensively judged. In order to ensure the accuracy of the temperature of the test target under the mine, the paper mainly studies the calibration method of the uncooled infrared imager under the influence of the environment temperature, distance, the effect of the working temperature of the detector and the other factors. A new method of calibration model of dual quadratic fitting and the calibration equation of nine parameters method are proposed. Compared to existing methods, the proposed method is used to process the experiment, and it is concluded that the average error is within 1°C, which can meet the requirements of temperature measurement-thermal imaging under the mine.


Zhang, Xiao-long and Liu, Ying (2012): “Radiation calibration of high-precision andnon-cooled long wave infrared thermal imager.” China Optical, 2012, 5(3):63-74.

Li, Yun-hong and Zhang, Long (2010): “Second calibration of the Infrared temperature measurement in field atmospheric transmittance.” Optical Precision Engineering, 2010, 18(10):21-43.

Song, Xiao-mei and Zhou, Kang-kang (2015): “The calibration of infrared thermal imager based onminimum weight.” Infrared, 2015, 11(5):101-110.

Jiang, Guo-wei and Li, Cheng-long (2015): “A calibration of infrared thermal imager method based on trinocular vision.” Computer Applications and Software, 2015, 6(1):55-64.

Li, Bin and Wu, Hai-ying (2014): “A design of simple Infrared calibration system.” Infrared and Laser Engineering, 2014, 43(2):458-463.

Hao, Ji-ping and Du, Cheng-gong (2014): “Oretical calculation and response of infrared calibration.” Applied Optics, 2014, 25(2):36-39.

Yuan, Yu-kai (2017): “Method for eliminating stray light in optical system.” Journal of Atmospheric and Environmental Optics, 2017, 22(11):102-113.

Hao, Yun-cai and Xiao, Shu-qin (2015): “Status and development of stray light technology for spaceborne optical remote sensor.” Space Science and Technology, 2015, 17(3):40-50.

Hu, Gui-hong and Chen, Qian (2013): “Infrared focal plane detector nonlinear response determination.” Photoelectron Laser, 2013, 14(5):489-492.

Sun, Xue-jin and Liu, Jian (2008): “The radiation of the uncooled infrared focal plane array calibration model.” Journal of PLA University of Technology, 2008, 9(4):399-403.

Hu, Xu-xiao and Pan, Xiao-hong (2010): “A multi order exponential function recursive fitting algorithm.” Journal of Zhejiang University, 2010, 44(12):99-108.

Lv, Shou-peng and Pan, Yuan-yuan (2012): “Method of measuring Planck constant in photoelectric effect and thermal effect of Fitting Correcting common figure.” Science and Technology and Engineering, 2012, 12(13):56-63.

Zhang, Xiaoye and Xu, Chao (2016): “Temperature field of body surface measurement by uncooled infrared thermal imager and error correction.” Infrared and Laser Engineering. 2016, 45(10):38-44.




How to Cite

Dehong, D., Daijun, C., & Ling, L. (2022). A Calibration Method Based on Dual Quadratic Fitting and Nine Parameters for Mining Non-Cooled Infrared Thermal Imager. Journal of Mines, Metals and Fuels, 66(12), 873–878. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31816