Research of precision improving algorithm of shearer positioning based on UWB
In view of problem of low precision of using UWB positioning system to obtain position coordinates of shearer, a precision improving algorithm of shearer positioning based on UWB was put forward. The algorithm uses ability of analysis of various signal values of information filter algorithm to filte...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2016-12-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/:10.13272/j.issn.1671-251x.2016.12.006 |
| _version_ | 1797868876931792896 |
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| author | LIU Yiming LIU Wanli ZHANG Boyuan YANG Binhai |
| author_facet | LIU Yiming LIU Wanli ZHANG Boyuan YANG Binhai |
| author_sort | LIU Yiming |
| collection | DOAJ |
| description | In view of problem of low precision of using UWB positioning system to obtain position coordinates of shearer, a precision improving algorithm of shearer positioning based on UWB was put forward. The algorithm uses ability of analysis of various signal values of information filter algorithm to filter UWB positioning results, and uses ability of optimal solution of neural network algorithm to evaluate positioning information during certain period when the shearer stays at the head position of scraper conveyer, in order to realize accurate shearer positioning. The experiment results show that after using information filter algorithm to process positioning results, the 3D accuracy can reach 7 cm, and after the application of neural network algorithm, the positioning accuracy can reach 2~3 cm. |
| first_indexed | 2024-04-10T00:03:47Z |
| format | Article |
| id | doaj.art-ceae51d22eba4c4cabeb7e80207b2c34 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:03:47Z |
| publishDate | 2016-12-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-ceae51d22eba4c4cabeb7e80207b2c342023-03-17T01:41:45ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2016-12-0142122530:10.13272/j.issn.1671-251x.2016.12.006Research of precision improving algorithm of shearer positioning based on UWBLIU YimingLIU WanliZHANG BoyuanYANG BinhaiIn view of problem of low precision of using UWB positioning system to obtain position coordinates of shearer, a precision improving algorithm of shearer positioning based on UWB was put forward. The algorithm uses ability of analysis of various signal values of information filter algorithm to filter UWB positioning results, and uses ability of optimal solution of neural network algorithm to evaluate positioning information during certain period when the shearer stays at the head position of scraper conveyer, in order to realize accurate shearer positioning. The experiment results show that after using information filter algorithm to process positioning results, the 3D accuracy can reach 7 cm, and after the application of neural network algorithm, the positioning accuracy can reach 2~3 cm.http://www.gkzdh.cn/article/doi/:10.13272/j.issn.1671-251x.2016.12.006coal miningshearer positioninguwbinformation filterneural network |
| spellingShingle | LIU Yiming LIU Wanli ZHANG Boyuan YANG Binhai Research of precision improving algorithm of shearer positioning based on UWB Gong-kuang zidonghua coal mining shearer positioning uwb information filter neural network |
| title | Research of precision improving algorithm of shearer positioning based on UWB |
| title_full | Research of precision improving algorithm of shearer positioning based on UWB |
| title_fullStr | Research of precision improving algorithm of shearer positioning based on UWB |
| title_full_unstemmed | Research of precision improving algorithm of shearer positioning based on UWB |
| title_short | Research of precision improving algorithm of shearer positioning based on UWB |
| title_sort | research of precision improving algorithm of shearer positioning based on uwb |
| topic | coal mining shearer positioning uwb information filter neural network |
| url | http://www.gkzdh.cn/article/doi/:10.13272/j.issn.1671-251x.2016.12.006 |
| work_keys_str_mv | AT liuyiming researchofprecisionimprovingalgorithmofshearerpositioningbasedonuwb AT liuwanli researchofprecisionimprovingalgorithmofshearerpositioningbasedonuwb AT zhangboyuan researchofprecisionimprovingalgorithmofshearerpositioningbasedonuwb AT yangbinhai researchofprecisionimprovingalgorithmofshearerpositioningbasedonuwb |