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Acta Photonica Sinica, Volume. 52, Issue 8, 0814003(2023)

Temperature Compensation Study of Laser Methane Sensor Based on ISSA-BP Neural Network

Xiang ZOU1... Songfeng YIN2,3,*, Yue CHENG2,3 and Yunlong LIU1 |Show fewer author(s)
Author Affiliations
  • 1School of Electronics and Information Engineering，Anhui Jianzhu University，Hefei 230601，China
  • 2Hefei Institute for Public Security，Tsinghua University，Hefei 230601，China
  • 3Hefei Tsingsensor Technology Co.，Ltd，Hefei 230601，China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (13)
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    References (19)
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    Figures & Tables(13)
    Measurement results and errors of CH4 concentration under different temperature conditions

    Fig. 1. Measurement results and errors of CH4 concentration under different temperature conditions

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    ISSA-BPNN temperature compensation model structure

    Fig. 2. ISSA-BPNN temperature compensation model structure

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    The update method of the step length factor L as the number of iterations increases

    Fig. 3. The update method of the step length factor L as the number of iterations increases

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    Test results of unimodal function and multimodal function

    Fig. 4. Test results of unimodal function and multimodal function

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    Flow chart of ISSA-BP temperature compensation model

    Fig. 5. Flow chart of ISSA-BP temperature compensation model

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    Optical circuit schematic diagram of laser methane sensor

    Fig. 6. Optical circuit schematic diagram of laser methane sensor

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    High and low temperature experimental equipment of laser methane sensor

    Fig. 7. High and low temperature experimental equipment of laser methane sensor

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    BP，PSO-BP，SSA-BP and ISSA-BP temperature compensation model prediction output

    Fig. 8. BP，PSO-BP，SSA-BP and ISSA-BP temperature compensation model prediction output

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    Experimental data diagram of four models after compensation for methane gas with 0.5% concentration

    Fig. 9. Experimental data diagram of four models after compensation for methane gas with 0.5% concentration

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    • Table 1. Cyclic test results of different hidden layer nodes

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      Table 1. Cyclic test results of different hidden layer nodes

      Nodes34567
      MSE2.35×10-32.62×10-43.57×10-54.72×10-46.43×10-4

    • Table 2. Differentiation of training and test data samples

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      Table 2. Differentiation of training and test data samples

      DatasetsTemperatureConcentration/%Samples
      Training samples-20 ℃~5 ℃Measured values of 0.5% and 8.0% CH4 concentration3 100
      40 ℃~65 ℃3 100
      Test samples-20 ℃~-5 ℃Measured values of 0.5%，2.0% and 8.0% CH4 concentration3 200
      15 ℃~30 ℃3 200
      55 ℃~65 ℃3 200

    • Table 3. CH4 concentration output predicted value after temperature compensation

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      Table 3. CH4 concentration output predicted value after temperature compensation

      CH4 concentrationAlgorithmPredicted value of CH4 concentration/%
      -20 ℃~-5 ℃15 ℃~30 ℃55 ℃~65 ℃
      0.5%BP0.531 2~0.541 10.486 3~0.499 30.463 2~0.479 5
      PSO-BP0.510 7~0.514 90.497 2~0.505 10.486 1~0.491 3
      SSA-BP0.501 6~0.506 30.499 3~0.501 70.494 8~0.498 2
      ISSA-BP0.500 3~0.502 60.500 1~0.501 90.498 5~0.500 8
      2.0%BP2.086 4~2.156 51.999 1~2.004 31.841 3~1.956 6
      PSO-BP2.019 2~2.051 12.001 2~2.005 61.950 3~1.992 4
      SSA-BP2.006 8~2.023 22.000 6~2.002 01.981 4~1.995 8
      ISSA-BP1.997 2~2.010 31.999 2~2.004 51.992 3~1.999 5
      8.0%BP8.169 2~8.483 17.996 7~8.012 27.584 3~7.948 9
      PSO-BP8.059 4~8.200 38.001 2~8.007 67.886 6~7.953 4
      SSA-BP8.027 1~8.099 28.001 5~8.014 47.919 0~7.988 3
      ISSA-BP8.016 7~8.039 38.002 2~8.008 97.962 3~7.997 1

    • Table 4. Performance evaluation index of four temperature compensation models

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      Table 4. Performance evaluation index of four temperature compensation models

      CH4 concentrationAlgorithmMAEMAPERMSERE
      5 000 ppmBP155.251 20.038 6203.512 98.22
      PSO-BP73.600 30.014 684.001 22.98
      SSA-BP28.757 50.005 833.597 91.26
      ISSA-BP13.253 60.002 715.303 20.52
      20 000 ppmBP620.742 10.039 2719.142 97.83
      PSO-BP254.904 60.012 7288.151 12.81
      SSA-BP105.465 20.005 3122.460 31.15
      ISSA-BP51.693 10.002 659.782 30.51
      80 000 ppmBP2251.641 60.028 32510.526 26.04
      PSO-BP843.361 40.010 4982.027 82.50
      SSA-BP456.100 40.005 7530.441 31.24
      ISSA-BP201.482 50.002 1236.257 40.49
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    Xiang ZOU, Songfeng YIN, Yue CHENG, Yunlong LIU. Temperature Compensation Study of Laser Methane Sensor Based on ISSA-BP Neural Network[J]. Acta Photonica Sinica, 2023, 52(8): 0814003

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    Paper Information

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    Received: Feb. 28, 2023

    Accepted: Apr. 7, 2023

    Published Online: Sep. 26, 2023

    The Author Email: YIN Songfeng (yinsongfeng@tsinghua-hf.edu.cn)

    DOI:10.3788/gzxb20235208.0814003

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology