| 光谱学与光谱分析 |
|
|
|
|
|
| Research on the Source Identification of Mine Water Inrush Based on LIF Technology and PLS-DA Algorithm |
| YAN Peng-cheng1, ZHOU Meng-ran1*, LIU Qi-meng2, 3, WANG Rui1, LIU Jun1 |
| 1. College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China2. Anhui Provincial Key Lab of Geohazards Prevention and Environment Protection, Huainan 232001, China3. College of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China |
|
|
|
|
Abstract Rapid source identification of mine water inrush has great significance for early warning and rescuing after the mine water inrush. Conventional method taking the concentration of ions as the discriminant factor takes such a long time that a method of rapid source identification of mine water inrush is in urgent need. This method is combined with Laser induced fluorescence (LIF) technology and Partial Least Squares-Discriminant Analysis (PLS-DA) algorithm. In the experiment, 405 nm laser was used to excite the water and 100 groups of fluorescence spectrum from 5 different aquifer of the mine were obtained. According to the spectra curve features, the data was compressed to obtain proper spectral data. 15 groups of spectrum of each water inrush samples were applied, with a total of 75 groups of spectrum as the prediction set while the rest of 25 groups of spectrum as the test set. To verify the experimental result, an experimental model was built with soft independent modeling of class analogy (SIMCA) to compare with PLS-DA. The result shows that the fluorescence spectra of different aquifer water samples is of great difference, without any pre-treatment, the PLS-DA algorithm based on the PLS model has higher modeling accuracy compared with SIMCA algorithm, which reaches to 100%, the validation results and the correlation of separation of variables are both more than 0.951, the RMSECV and RMSEP are both less than 0.123, using the model to identify the 5 water samples of test set, the accuracy are up to 100%.
|
|
Received: 2015-05-08
Accepted: 2015-09-16
|
|
|
|
Corresponding Authors:
ZHOU Meng-ran
E-mail: mrzhou8521@163.com
|
|
[1] LU Jin-tao, LI Xi-bing, GONG Feng-qiang(鲁金涛, 李夕兵, 宫凤强). China Safety Science Journal(中国安全科学学报), 2012, 22(7): 109.
[2] GONG Feng-qiang, LU Jin-tao(宫凤强, 鲁金涛). Journal of Mining & Safety Engineering(采矿与安全工程学报), 2014, 31(2): 236.
[3] WANG Xin-yi, XU Tao, HUANG Dan(王心义, 徐 涛, 黄 丹). Journal of China Coal Society(煤炭学报), 2011, 36, (8): 1334.
[4] HU Wei-yue, YIN Shang-xian(虎维岳, 尹尚先). Chinese Journal of Rock Mechanics and Engineering(岩石力学与工程学报), 2010, 29, (1): 3344.
[5] ZHAO Su-qi, WU Qiang, YIN Shang-xian(赵苏启, 武 强, 尹尚先). Journal of China Coal Society(煤炭学报), 2006, 31(1): 618.
[6] WANG Chang-shen, SUN Ya-jun, HANG Yuan(王长申, 孙亚军, 杭 远). Chinese Journal of Rock Mechanics and Engineering(岩石力学与工程学报), 2009, 28(2): 298.
[7] YANG Yong-guo, HUANG Fu-chen(杨永国, 黄福臣). Journal of China University of Mining and Technology(中国矿业大学学报), 2007, 36(3): 283.
[8] YAO Jie, TONG Min-ming, LIU Tao(姚 洁, 童敏明, 刘 涛). Coal Mine Safety(煤炭安全), 2013, 44(2): 29.
[9] ZHANG Rui-gang, QIAN Jia-zhong, MA Lei(张瑞钢, 钱家忠, 马 雷). Journal of China Coal Society(煤炭学报), 2009, 34(1): 33.
[10] WEI Wen-xue, LU Xin-ming, SHI Long-qing(卫文学, 卢新明, 施龙青). Journal of China Coal Society(煤炭学报), 2010, 35(5): 811.
[11] SANG Fu-ming, REN Xiu-lian, PAN Jian-xin(桑付明, 任秀莲, 潘建新). Journal of Instrumental Analysis(分析测试学报), 2009, 28(9): 1100.
[12] DING Juan-juan, JIN Bao-kang, KANG Jing-wu(丁娟娟, 金葆康, 康经武). Acta Chimica Sinica(化学学报), 2009, 67(9): 945.
[13] XIAO Guan-hui, QIN Hai, LAN He(肖光辉, 覃 海, 蓝 劾). Journal of Applied Optics(应用光学), 2011, 32(5): 1016.
[14] XU Xu, GAO Hong-jun, LIN Bing-cheng(许 旭, 高红军, 林炳承). Journal of Instrumental Analysis(分析测试学报), 2005, 24(5): 122.
[15] SHI Feng-cheng, LI Dong-liang, FENG Guang-lin(施丰成, 李东亮, 冯广林). Tobacco Chemistry(烟草化学), 2013, 4: 56.
[16] OUYANG Ai-guo, ZHAO Zhan-you(欧阳爱国, 赵战友). Journal of Chinese Agricultural Mechanization(中国农机化学报), 2013, 34(1): 181. |
| [1] |
ZHOU Meng-ran, HU Feng*, YAN Peng-cheng, LIU Dong. Laser Induced Fluorescence Spectrum Analysis of Water Inrush in Coal Mine Based on FCM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1572-1576. |
| [2] |
PENG Cheng1, FENG Xu-ping2*, HE Yong2, ZHANG Chu2, ZHAO Yi-ying2, XU Jun-feng1. Discrimination of Transgenic Maize Containing the Cry1Ab/Cry2Aj and G10evo Genes Using Near Infrared Spectroscopy (NIR)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1095-1100. |
| [3] |
WANG Xiang1, 2, 3, ZHAO Nan-jing1, 3*, YU Zhi-min2, MENG De-shuo1, 3, XIAO Xue1, 3, ZUO Zhao-lu1, 3,. Detection Method Progress and Development Trend of Organic Pollutants in Soil Using Laser-Induced Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 857-863. |
| [4] |
LIU Yan-de1, XIAO Huai-chun1, SUN Xu-dong1, HAN Ru-bing1, YE Ling-yu1, HUANG Liang1, XIAO Yu-song1, LIAO Xiao-hong2. Study on the Quick Non-Destructive Detection of Citrus Huanglongbing Based on the Spectrometry of VIS and NIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 528-534. |
| [5] |
LIU Yan-de, XIAO Huai-chun, SUN Xu-dong, WU Ming-ming, YE Ling-yu, HAN Ru-bing, ZHU Dan-ning, HAO Yong. Researching of Non-Destructive Detection for Citrus Greening Based on Confocal Micro-Raman[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 111-116. |
| [6] |
WU Ting1, ZHONG Nan1*, YANG Ling2. Study on Identification of Counterfeit Salmon Meat Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3078-3082. |
| [7] |
WANG Shu-long1, 2，XIANG Qian-lan3，ZHAO Dong-mei1，MA Xin-wen1，YANG Jie1*. The Laser-Induced Fluorescence Spectrum of Jet-Cooled Diatomic Sulfur in Ultraviolet Region[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(09): 2792-2798. |
| [8] |
WANG Ya1,2, ZHOU Meng-ran1*, YAN Peng-cheng1, HE Chen-yang1, LIU Dong1 . Identification of Coalmine Water Inrush Source with PCA-BP Model Based on Laser-Induced Fluorescence Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 978-983. |
| [9] |
YANG Tian-wei1, 2, LI Tao3, LI Jie-qing1, ZHANG Xue4, WANG Yuan-zhong2*, LIU Hong-gao1* . Study on the Discrimination of Boletus Edulis from Different Years and Origins with FTIR [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(07): 2117-2123. |
| [10] |
SHEN Yun-xia1, 2, ZHAO Yan-li1, ZHANG Ji1, JIN Hang1, WANG Yuan-zhong1*. Study on the Discrimination of FTIR Spectroscopy of Gentiana Rigescens with Different Harvest Time[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(05): 1358-1362. |
| [11] |
DI Zhun1, 2, ZHAO Yan-li2, ZUO Zhi-tian2, LONG Hua1, ZHANG Xue3, WANG Yuan-zhong2*, LI Li1* . Analysis and Discrimination of the Medicinal Plants Swertia Davidi Franch Based on Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(02): 388-393. |
| [12] |
YAN Peng-cheng1, ZHOU Meng-ran1*, LIU Qi-meng2, 3, ZHANG Kai-yuan1, HE Chen-yang1 . Research on the Source Identification of Mine Water Inrush Based on LIF Technology and SIMCA Algorithm [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(01): 243-247. |
| [13] |
GUAN Xiao1,2, LIU Jing3*, GU Fang-qing2, YANG Yong-jian4 . Study on Brand Traceability of Vinegar Based on Near Infrared Spectroscopy Technology [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(09): 2402-2406. |
| [14] |
ZHAO Yan-li1, ZHANG Ji1, YUAN Tian-jun2, SHEN Tao3, HOU Ying2, YANG Shi-hua2, LI Wei2, WANG Yuan-zhong1*, JIN Hang1* . Study on Rapid Identification of Medicinal Plants of Paris Polyphylla from Different Origin Areas by NIR spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(07): 1831-1835. |
| [15] |
DING Chang-chun1, 2, 3, FANG Xiang-jing4, ZHAO Yan-li5, LI Gui-xiang4, LI Tao6, WANG Yuan-zhong5*, XIA Nian-he1* . Rapid Identification of Dendrobium Plants Based on Near Infrared Diffuse Reflection Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(01): 82-86. |
|
|
|
|
