Identification of Coalmine Water Inrush Source with PCA-BP Model Based on Laser-Induced Fluorescence Technology
WANG Ya1,2, ZHOU Meng-ran1*, YAN Peng-cheng1, HE Chen-yang1, LIU Dong1
1. College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China 2. School of Computer and Information, Fuyang Teachers College, Fuyang 236037, China
Abstract：The water inrush should been rapidly and accurately identified during preventing coalmine water inrush. The laser induced fluorescent (LIF) spectrum technology provides a new method to identify water inrush with the characteristics of high sensitivity, quick and accurate monitoring. In order to identify water inrush, this paper introduces the spectrum technology of LIF to obtain water inrush fluorescence spectra data. The spectral preprocessing methods of Savitzky-Golay(SG) and Multiplicative Scatter Correction (MSC) have been used to eliminate noise spectra in collecting process. Principal component analysis (PCA) extracts feature information, for SG reprocessing data, when the number of principal component is 3, the cumulative contribution rate can reach 99.76 percent. This method has largely retained the information of original data. This paper chooses the classification model with 3 layers BP neural network, constructing by different training and testing sets. The classification model with SG preprocessing has achieved accurate identification, however, appeared few false identification for MSC and original data. The result shows that SG preprocessing is better than MSC. Research results show that the classification model with PCA and BP neural network can effectively identify coalmine water inrush, and have the strong self-organizing, self-learning ability.
Key words：Coalmine water inrush;Identification model;Laser-induced fluorescence;Principal component analysis;Artificial neural network
王 亚1,2，周孟然1*，闫鹏程1，何晨阳1，刘 栋1 . PCA-BP模型在判别基于LIF技术煤矿突水水源的应用 [J]. 光谱学与光谱分析, 2017, 37(03): 978-983.
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. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 978-983.
