Near-infrared reflectance spectrum data preprocessing method for coal gangue identification
When using near-infrared reflectance spectrum to identify coal gangue, the change of detection distance between spectrum acquisition device and working face and dust interference will affect near-infrared reflectance spectrum. In order to select the best pre-processing method for near infrared refle...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Industry and Mine Automation
2021-12-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/jn-abD.aspx?ArticleID=16360 |
| _version_ | 1818715268663214080 |
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| author | DING Zhen1 CHANG Boshen2 |
| author_facet | DING Zhen1 CHANG Boshen2 |
| author_sort | DING Zhen1 |
| collection | DOAJ |
| description | When using near-infrared reflectance spectrum to identify coal gangue, the change of detection distance between spectrum acquisition device and working face and dust interference will affect near-infrared reflectance spectrum. In order to select the best pre-processing method for near infrared reflectance spectrum for coal gangue, samples of anthracite and gangue with similar appearance are collected. A spectrum acquisition device consisting of near infrared spectrometer, collimator and halogen lamp is set up in the laboratory to acquire near infrared reflectance spectrum of coal gangue at different detection distances (1.2,1.5,1.8 m) and dust concentrations (200, 500, 800 mg/m3). Through the analysis of near-infrared reflectance spectrum characteristics of coal gangue, it is found that the detection distance and dust concentration change have no obvious impact on the waveform of near-infrared reflectance spectrum curve and the position of absorption valley of coal gangue. The absorption wavelength point of spectral characteristics will not be changed. However, the reflectance of near-infrared reflectance spectrum of coal gangue will be significantly affected. The spectral reflectance will decrease with the increase of detection distance and dust concentration, which will cause near-infrared reflectance spectrum drift of coal gangue. In order to enhance the absorption characteristics of near-infrared reflectance spectrum of coal gangue, the spectrum data are preprocessed by differential, standard normal variable transformation and polynomial smoothing methods. The preprocessed near-infrared reflectance spectrum data of coal gangue are input to the particle swarm optimization BP neural network model for coal gangue identification. The experimental results show that the differential preprocessing method has the best optimization effect on the near-infrared reflectance spectrum data of coal gangue collected under the change of detection distance and dust concentration, and can eliminate the impact of detection distance and dust concentration on the spectral reflectance effectively. |
| first_indexed | 2024-12-17T19:00:40Z |
| format | Article |
| id | doaj.art-0210000b33794460ae6935e895a01404 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-12-17T19:00:40Z |
| publishDate | 2021-12-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-0210000b33794460ae6935e895a014042022-12-21T21:36:06ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2021-12-014712939710.13272/j.issn.1671-251x.17853Near-infrared reflectance spectrum data preprocessing method for coal gangue identification DING Zhen10CHANG Boshen211.Coal Transportation Department, CHN Energy, Beijing 100013, China; 2.School of Mechanical Electronic and Information Engineering, China University of Mining and Technology(Beijing), Beijing 100083, ChinaWhen using near-infrared reflectance spectrum to identify coal gangue, the change of detection distance between spectrum acquisition device and working face and dust interference will affect near-infrared reflectance spectrum. In order to select the best pre-processing method for near infrared reflectance spectrum for coal gangue, samples of anthracite and gangue with similar appearance are collected. A spectrum acquisition device consisting of near infrared spectrometer, collimator and halogen lamp is set up in the laboratory to acquire near infrared reflectance spectrum of coal gangue at different detection distances (1.2,1.5,1.8 m) and dust concentrations (200, 500, 800 mg/m3). Through the analysis of near-infrared reflectance spectrum characteristics of coal gangue, it is found that the detection distance and dust concentration change have no obvious impact on the waveform of near-infrared reflectance spectrum curve and the position of absorption valley of coal gangue. The absorption wavelength point of spectral characteristics will not be changed. However, the reflectance of near-infrared reflectance spectrum of coal gangue will be significantly affected. The spectral reflectance will decrease with the increase of detection distance and dust concentration, which will cause near-infrared reflectance spectrum drift of coal gangue. In order to enhance the absorption characteristics of near-infrared reflectance spectrum of coal gangue, the spectrum data are preprocessed by differential, standard normal variable transformation and polynomial smoothing methods. The preprocessed near-infrared reflectance spectrum data of coal gangue are input to the particle swarm optimization BP neural network model for coal gangue identification. The experimental results show that the differential preprocessing method has the best optimization effect on the near-infrared reflectance spectrum data of coal gangue collected under the change of detection distance and dust concentration, and can eliminate the impact of detection distance and dust concentration on the spectral reflectance effectively.http://www.gkzdh.cn/jn-abD.aspx?ArticleID=16360coal gangue identification; near-infrared reflectance spectrum; data preprocessing; detection distance; dust concentration |
| spellingShingle | DING Zhen1 CHANG Boshen2 Near-infrared reflectance spectrum data preprocessing method for coal gangue identification Gong-kuang zidonghua coal gangue identification; near-infrared reflectance spectrum; data preprocessing; detection distance; dust concentration |
| title | Near-infrared reflectance spectrum data preprocessing method for coal gangue identification |
| title_full | Near-infrared reflectance spectrum data preprocessing method for coal gangue identification |
| title_fullStr | Near-infrared reflectance spectrum data preprocessing method for coal gangue identification |
| title_full_unstemmed | Near-infrared reflectance spectrum data preprocessing method for coal gangue identification |
| title_short | Near-infrared reflectance spectrum data preprocessing method for coal gangue identification |
| title_sort | near infrared reflectance spectrum data preprocessing method for coal gangue identification |
| topic | coal gangue identification; near-infrared reflectance spectrum; data preprocessing; detection distance; dust concentration |
| url | http://www.gkzdh.cn/jn-abD.aspx?ArticleID=16360 |
| work_keys_str_mv | AT dingzhen1 nearinfraredreflectancespectrumdatapreprocessingmethodforcoalgangueidentification AT changboshen2 nearinfraredreflectancespectrumdatapreprocessingmethodforcoalgangueidentification |