Study on coal-rock interface characteristics change law and recognition based on active thermal excitation
For recognizing the coal-rock interface efficiently, the infrared thermal images of coal-rock interface excited by active thermal excitation are tested and extracted which results in rise of coal and rock with different spatiotemporal characteristics and the infrared temperature attenuation law of c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-05-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2022.2031307 |
| _version_ | 1811247649671610368 |
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| author | Qiang Zhang Junming Liu Jieying Gu Ying Tian |
| author_facet | Qiang Zhang Junming Liu Jieying Gu Ying Tian |
| author_sort | Qiang Zhang |
| collection | DOAJ |
| description | For recognizing the coal-rock interface efficiently, the infrared thermal images of coal-rock interface excited by active thermal excitation are tested and extracted which results in rise of coal and rock with different spatiotemporal characteristics and the infrared temperature attenuation law of coal and rock surface are analysed. The coal-rock infrared image is segmented and denoised to recognize the coal-rock interface with different ratio. The experimental results show that: (1) Under the active thermal excitation, the infrared temperatures of coal, rock and transition layer increase at different rates with a faster temperature growth of coal and the growth of rock temperature is relatively gentle. With the increase of excitation distance, the temperature decreases gradually and fluctuation of surface temperature occurs due to closer distance;(2) No matter the coal seam or the rock stratum, the temperature decreases linearly during the cooling process; (3) The results of image recognition technology based on local optimization and adaptive radius constrained principal curve algorithm are consistent with the actual test samples of coal rock ratio and the maximum error is 0.56%. The analysis results in coal-rock interface recognition for improving the cutting efficiency of shearer and realizing intelligent drum height adjustment control. |
| first_indexed | 2024-04-12T15:13:32Z |
| format | Article |
| id | doaj.art-becc51ea021042eba85eb151da3b2ba2 |
| institution | Directory Open Access Journal |
| issn | 2279-7254 |
| language | English |
| last_indexed | 2024-04-12T15:13:32Z |
| publishDate | 2022-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | European Journal of Remote Sensing |
| spelling | doaj.art-becc51ea021042eba85eb151da3b2ba22022-12-22T03:27:41ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542022-05-0111110.1080/22797254.2022.2031307Study on coal-rock interface characteristics change law and recognition based on active thermal excitationQiang Zhang0Junming Liu1Jieying Gu2Ying Tian3School of Mechanical Engineering, Liaoning Technical University, Fuxin, ChinaSchool of Mechanical Engineering, Liaoning Technical University, Fuxin, ChinaCollege of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, ChinaCollege of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, ChinaFor recognizing the coal-rock interface efficiently, the infrared thermal images of coal-rock interface excited by active thermal excitation are tested and extracted which results in rise of coal and rock with different spatiotemporal characteristics and the infrared temperature attenuation law of coal and rock surface are analysed. The coal-rock infrared image is segmented and denoised to recognize the coal-rock interface with different ratio. The experimental results show that: (1) Under the active thermal excitation, the infrared temperatures of coal, rock and transition layer increase at different rates with a faster temperature growth of coal and the growth of rock temperature is relatively gentle. With the increase of excitation distance, the temperature decreases gradually and fluctuation of surface temperature occurs due to closer distance;(2) No matter the coal seam or the rock stratum, the temperature decreases linearly during the cooling process; (3) The results of image recognition technology based on local optimization and adaptive radius constrained principal curve algorithm are consistent with the actual test samples of coal rock ratio and the maximum error is 0.56%. The analysis results in coal-rock interface recognition for improving the cutting efficiency of shearer and realizing intelligent drum height adjustment control.https://www.tandfonline.com/doi/10.1080/22797254.2022.2031307Active thermal excitationinfrared imagingspatiotemporal characteristicstemperature attenuation lawcoal-rock recognition |
| spellingShingle | Qiang Zhang Junming Liu Jieying Gu Ying Tian Study on coal-rock interface characteristics change law and recognition based on active thermal excitation European Journal of Remote Sensing Active thermal excitation infrared imaging spatiotemporal characteristics temperature attenuation law coal-rock recognition |
| title | Study on coal-rock interface characteristics change law and recognition based on active thermal excitation |
| title_full | Study on coal-rock interface characteristics change law and recognition based on active thermal excitation |
| title_fullStr | Study on coal-rock interface characteristics change law and recognition based on active thermal excitation |
| title_full_unstemmed | Study on coal-rock interface characteristics change law and recognition based on active thermal excitation |
| title_short | Study on coal-rock interface characteristics change law and recognition based on active thermal excitation |
| title_sort | study on coal rock interface characteristics change law and recognition based on active thermal excitation |
| topic | Active thermal excitation infrared imaging spatiotemporal characteristics temperature attenuation law coal-rock recognition |
| url | https://www.tandfonline.com/doi/10.1080/22797254.2022.2031307 |
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