Cluster Computing

, Volume 22, Supplement 3, pp 6091–6100 | Cite as

The research on compensation algorithm of infrared temperature measurement based on intelligent sensors

  • Shaoliang WeiEmail author
  • Wenbo Qin
  • Lianwei Han
  • Fengyu Cheng


The infrared temperature sensor has a small thermal inertia, which could be used to measure the temperature of the moving object or the fast changing temperature. It is widely used in modern industry, military and medicine. Planck’s law points out that the infrared temperature measurement is based on the infrared radiation of normal radiation as a standard measure. However, due to the actual measurement environment and cost constraint, there usually exits a changed incident angle between infrared sensor and measured object in the case of actual infrared measurement. A compensation algorithm of incident angle on temperature measurement is the focus of this paper. Facing the surface temperature measurement and cooling system of roller in aluminum plate manufacturing process, the paper put forward and designed a real-time temperature measurement scheme based on infrared sensor. Through experimental study and data analysis, the paper has explored the influence law of the incident angle in the infrared temperature measurement of the surface. Inthemeantime, because this article selects the strong reflective body as the research sample, and selects the low-temperature as the temperature measurement, so the research should overcome the interference of the physical properties of strong reflective sample and the complex nature of low temperature inaccurately measured. Though summing up the research achievements, the paper set up an incident Angle compensation algorithm, which is used to solve the influence of the incident angle on the temperature measurement result. The results of this study are of great significance to the application for accurately measure the surface temperature of strong reflector with infrared sensors.


Infrared temperature measurement Incident angle Accuracy measurement Compensation algorithm 



This work was supported in part by A Project of Shandong Province Higher Educational Science and Technology Program (J13LB04) and Dr. Fund of Henan Polytechnic University (B2016-29).


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Shaoliang Wei
    • 1
    Email author
  • Wenbo Qin
    • 1
  • Lianwei Han
    • 1
  • Fengyu Cheng
    • 1
  1. 1.Henan Polytechnic UniversityJiaozuoChina

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