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Temperature Compensation Algorithms Based on Digital Infrared Thermopile Sensors Systems

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 89))

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Abstract

Aiming at the influence of ambient temperature on the accuracy of infrared thermopile sensors, an infrared temperature sensor system based on thermopile infrared probe and 32-bit embedded microprocessor BH67F2742 is proposed. The infrared temperature sensor amplifies the analog signal inside the MCU and outputs the digital signal directly through UART after the 24-bit ADC conversion, which solves the disadvantage of poor stability of analog signal output by the infrared thermal-reactor sensor. At the same time, build the infrared thermopile sensor output voltage, ambient temperature and target temperature of the neural network model, using genetic algorithm to the initial weights and threshold of neural network optimized, and the algorithm is embedded in MCU, through to the system measured temperature after temperature compensation calculation, can get the actual temperature of the object to be tested. Experimental results show that the system can accurately measure the human body temperature in the range of 35 ℃–42 ℃, and the measurement error is within 0.2 ℃, which verifies the accuracy of the temperature compensation algorithm.

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Author information

Authors and Affiliations

  1. School of Computer Science, Xi’an University of Posts and Telecommunications, Xi’an, 710121, China

    Kai Cui

Authors
  1. Kai Cui
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Editors and Affiliations

  1. Guizhou University, Guiyang, China

    Quan Xie

  2. Computer Science and Mathematics, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil

    Liang Zhao

  3. College of Electrical and Information, Hunan University, Changsha, China

    Kenli Li

  4. Department of Mathematics, NIT Jalandhar, Jalandhar, India

    Anupam Yadav

  5. Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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Cui, K. (2022). Temperature Compensation Algorithms Based on Digital Infrared Thermopile Sensors Systems. In: Xie, Q., Zhao, L., Li, K., Yadav, A., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 89. Springer, Cham. https://doi.org/10.1007/978-3-030-89698-0_9

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