Infrared Technology, Volume. 46, Issue 11, 1245(2024)

Temperature and Pressure Compensation Algorithm of Laser Oxygen Partial Pressure Sensor Based on BP Neural Network

Jiahui ZENG1,2,3, Feng HE1,2,3、*, Zhenxiang WANG1,2,3, Songhui LI1,2,3, Bing LIU1,2,3, and Lijun JIANG1,2,3
Author Affiliations
  • 1The 48th Research Institute of China Electronics Technology Group Corporation, Changsha 410111, China
  • 2The Defense Key Laboratory for Thin Film Sensor Technology in Hunan Province, Changsha 410111, China
  • 3Hunan Key Laboratory of High-Performance Sensors and Detection Systems, Changsha 410111, China
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    Considering the influence of temperature and pressure on the measurement of the partial pressure of oxygen using TDLAS technology, a temperature and pressure compensation algorithm for laser oxygen partial pressure sensors is proposed for eliminating these effects. The laser oxygen partial pressure sensor was constructed using an analog circuit, and the measured second-harmonic peak, temperature, and pressure values were uploaded to the master computer through an electrical connector, which performed temperature and pressure compensation using the BP neural network temperature and a pressure compensation algorithm to obtain accurate oxygen partial pressure values. The experimental results show that the algorithm can achieve compensation for the measured partial pressure of oxygen, and that the error of the partial pressure of the oxygen measurement is less than ±1 kPa, which meets the requirements of aerospace, aviation and other fields, and has a desirable application prospect.

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    ZENG Jiahui, HE Feng, WANG Zhenxiang, LI Songhui, LIU Bing, JIANG Lijun. Temperature and Pressure Compensation Algorithm of Laser Oxygen Partial Pressure Sensor Based on BP Neural Network[J]. Infrared Technology, 2024, 46(11): 1245

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    Paper Information

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    Received: Dec. 25, 2023

    Accepted: Jan. 10, 2025

    Published Online: Jan. 10, 2025

    The Author Email: Feng HE (hefeng@cs48.com)

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