• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 3, 737 (2022)
Bing HUANG1、1;, Xiao-hong WANG2、2;, and Ping JIANG2、2; *;
Author Affiliations
  • 11. Key Laboratory of Building Materials Preparation and Testing Technology, University of Jinan, Jinan 250022, China
  • 22. School of Automation and Electrical Engineering, University of Jinan, Jinan 250022, China
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    DOI: 10.3964/j.issn.1000-0593(2022)03-0737-06 Cite this Article
    Bing HUANG, Xiao-hong WANG, Ping JIANG. Research on Detection of Cement Raw Material Content Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 737 Copy Citation Text show less
    Near infrared spectra of raw material samples from Qufu
    Fig. 1. Near infrared spectra of raw material samples from Qufu
    Near infrared spectra of raw material samples from Linyi
    Fig. 2. Near infrared spectra of raw material samples from Linyi
    Qufu SiO2 sample band selection by CARS(a): Band selection process sample changes; (b): RMSECV variation in band selection process; (c): Change in regression coeffient of band selection process
    Fig. 3. Qufu SiO2 sample band selection by CARS
    (a): Band selection process sample changes; (b): RMSECV variation in band selection process; (c): Change in regression coeffient of band selection process
    Qufu SiO2 sample band selection
    Fig. 4. Qufu SiO2 sample band selection
    Linyi SiO2 sample band selection
    Fig. 5. Linyi SiO2 sample band selection
    Qufu Al2O3sample band selection
    Fig. 6. Qufu Al2O3sample band selection
    Linyi Al2O3sample band selection
    Fig. 7. Linyi Al2O3sample band selection
    Qufu Fe2O3sample band selection
    Fig. 8. Qufu Fe2O3sample band selection
    Linyi Fe2O3sample band selection
    Fig. 9. Linyi Fe2O3sample band selection
    Qufu CaOsample band selection
    Fig. 10. Qufu CaOsample band selection
    Qufu CaOsample band selection
    Fig. 11. Qufu CaOsample band selection
    样品来源SiO2
    /%
    Al2O3
    /%
    Fe2O3
    /%
    CaO
    /%
    Max13.793.442.1243.67
    曲阜Min11.372.521.7841.44
    Average12.83.022.0142.28
    Max14.023.382.2141.83
    临沂Min11.573.122.0240.58
    Average13.593.252.1541.13
    Table 1. Content distribution table of raw materials from Qufu and Linyi
    样本Number
    /%
    Max
    /%
    Min
    /%
    Average
    /%
    CaO训练8014.0111.5713.53
    测试集1514.0213.2613.71
    SiO2训练803.383.123.25
    测试集153.343.173.26
    Al2O3训练802.212.022.14
    测试集152.202.092.15
    Fe2O3训练8041.8340.6341.17
    测试集1541.8040.5841.05
    Table 2. Qufu sample partition
    样本Number
    /%
    Max
    /%
    Min
    /%
    Average
    /%
    CaO训练6741.8340.5841.10
    测试集1541.8141.0341.29
    SiO2训练6714.0211.5713.61
    测试集1513.8311.7713.49
    Al2O3训练673.383.123.26
    测试集153.323.153.24
    Fe2O3训练672.212.022.15
    测试集152.22.12.14
    Table 3. Linyi sample partition
    ModelR2RMSECV/%RMSEP/%
    SiO2曲阜0.4410.3170.526
    临沂0.0010.500.25
    Al2O3曲阜0.4020.1530.165
    临沂0.060.060.06
    Fe2O3曲阜0.3840.0490.061
    临沂0.050.040.04
    CaO曲阜0.3190.3050.621
    临沂0.030.380.38
    Table 4. Qufu and Linyi raw material near infrared spectrum global PLS modeling results
    成分模型校正集验证集
    RC2RMSECVRP2RMSEP
    SiO2曲阜0.9930.1060.9810.109
    临沂0.9920.1050.9750.084
    Al2O3曲阜0.9460.0520.9600.053
    临沂0.9560.0270.7450.024
    Fe2O3曲阜0.8080.0320.8030.034
    临沂0.7580.0250.7530.023
    CaO曲阜0.9310.2130.9170.185
    临沂0.8960.1730.7070.184
    Table 5. Qufu and Linyi cement raw meal near infrared spectrum local PLS modeling results table
    Bing HUANG, Xiao-hong WANG, Ping JIANG. Research on Detection of Cement Raw Material Content Based on Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(3): 737
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