• Acta Photonica Sinica
  • Vol. 52, Issue 8, 0814003 (2023)
Xiang ZOU1, Songfeng YIN2,3,*, Yue CHENG2,3, and Yunlong LIU1
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
  • show less
    DOI: 10.3788/gzxb20235208.0814003 Cite this Article
    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 Copy Citation Text show less
    Measurement results and errors of CH4 concentration under different temperature conditions
    Fig. 1. Measurement results and errors of CH4 concentration under different temperature conditions
    ISSA-BPNN temperature compensation model structure
    Fig. 2. ISSA-BPNN temperature compensation model structure
    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
    Test results of unimodal function and multimodal function
    Fig. 4. Test results of unimodal function and multimodal function
    Flow chart of ISSA-BP temperature compensation model
    Fig. 5. Flow chart of ISSA-BP temperature compensation model
    Optical circuit schematic diagram of laser methane sensor
    Fig. 6. Optical circuit schematic diagram of laser methane sensor
    High and low temperature experimental equipment of laser methane sensor
    Fig. 7. High and low temperature experimental equipment of laser methane sensor
    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
    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
    Nodes34567
    MSE2.35×10-32.62×10-43.57×10-54.72×10-46.43×10-4
    Table 1. Cyclic test results of different hidden layer nodes
    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 2. Differentiation of training and test data samples
    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 3. CH4 concentration output predicted value after temperature compensation
    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
    Table 4. Performance evaluation index of four temperature compensation models
    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
    Download Citation