Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/157680
Title: Positioning Accuracy Evaluation for the Collaborative Automation of Mining Fleet With the Support of Memory Cutting Technology
Authors: Chengming Luo;Xinnan Fan;Jianjun Ni;Hai Yang;Xuewu Zhang;Wei Li
subject: mining fleet|collaborative automation|shearer positioning|memory cutting technology|Mechanized mining face
Year: 2016
Publisher: IEEE
Abstract: Taking mining fleet constituted by a shearer, hydraulic supports and a scraper conveyor as the object, the mining fleet needs to move to the intended position in accordance with the functional requirements, such as machinery tracking of hydraulic supports and memory cutting of the shearer. This paper proposes a shearer wireless positioning method under the conditions of inaccurate anchor nodes. First, action rules for hydraulic supports and an adaptive height adjustment strategy for the shearer are arranged based on analyzing the cooperative movement of mining fleet. Second, the duality mapping between local strong signal sets and positioning spatial domain is revealed, and inaccurate anchor nodes can be refined using the memory cutting and motion constraints of mining fleet. Third, an extended Cramer-Rao lower bound is derived to seek the inherent relationships among shearer positioning accuracy, multi-source errors, and coordinate errors of anchor nodes. Finally, comprehensive experiments for the analytical accuracy assessment and node configuration of shearer positioning are achieved with the support of memory cutting technology. Research results indicate that the proposed shearer positioning can satisfy the requirements of mining fleet, which can provide the theoretical basis for the collaborative automation of mining fleet on fully mechanized mining face.
Description: 
URI: http://localhost/handle/Hannan/157680
ISSN: 2169-3536
volume: 4
More Information: 5764
5775
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7551224.pdf8.42 MBAdobe PDFThumbnail
Preview File
Title: Positioning Accuracy Evaluation for the Collaborative Automation of Mining Fleet With the Support of Memory Cutting Technology
Authors: Chengming Luo;Xinnan Fan;Jianjun Ni;Hai Yang;Xuewu Zhang;Wei Li
subject: mining fleet|collaborative automation|shearer positioning|memory cutting technology|Mechanized mining face
Year: 2016
Publisher: IEEE
Abstract: Taking mining fleet constituted by a shearer, hydraulic supports and a scraper conveyor as the object, the mining fleet needs to move to the intended position in accordance with the functional requirements, such as machinery tracking of hydraulic supports and memory cutting of the shearer. This paper proposes a shearer wireless positioning method under the conditions of inaccurate anchor nodes. First, action rules for hydraulic supports and an adaptive height adjustment strategy for the shearer are arranged based on analyzing the cooperative movement of mining fleet. Second, the duality mapping between local strong signal sets and positioning spatial domain is revealed, and inaccurate anchor nodes can be refined using the memory cutting and motion constraints of mining fleet. Third, an extended Cramer-Rao lower bound is derived to seek the inherent relationships among shearer positioning accuracy, multi-source errors, and coordinate errors of anchor nodes. Finally, comprehensive experiments for the analytical accuracy assessment and node configuration of shearer positioning are achieved with the support of memory cutting technology. Research results indicate that the proposed shearer positioning can satisfy the requirements of mining fleet, which can provide the theoretical basis for the collaborative automation of mining fleet on fully mechanized mining face.
Description: 
URI: http://localhost/handle/Hannan/157680
ISSN: 2169-3536
volume: 4
More Information: 5764
5775
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7551224.pdf8.42 MBAdobe PDFThumbnail
Preview File
Title: Positioning Accuracy Evaluation for the Collaborative Automation of Mining Fleet With the Support of Memory Cutting Technology
Authors: Chengming Luo;Xinnan Fan;Jianjun Ni;Hai Yang;Xuewu Zhang;Wei Li
subject: mining fleet|collaborative automation|shearer positioning|memory cutting technology|Mechanized mining face
Year: 2016
Publisher: IEEE
Abstract: Taking mining fleet constituted by a shearer, hydraulic supports and a scraper conveyor as the object, the mining fleet needs to move to the intended position in accordance with the functional requirements, such as machinery tracking of hydraulic supports and memory cutting of the shearer. This paper proposes a shearer wireless positioning method under the conditions of inaccurate anchor nodes. First, action rules for hydraulic supports and an adaptive height adjustment strategy for the shearer are arranged based on analyzing the cooperative movement of mining fleet. Second, the duality mapping between local strong signal sets and positioning spatial domain is revealed, and inaccurate anchor nodes can be refined using the memory cutting and motion constraints of mining fleet. Third, an extended Cramer-Rao lower bound is derived to seek the inherent relationships among shearer positioning accuracy, multi-source errors, and coordinate errors of anchor nodes. Finally, comprehensive experiments for the analytical accuracy assessment and node configuration of shearer positioning are achieved with the support of memory cutting technology. Research results indicate that the proposed shearer positioning can satisfy the requirements of mining fleet, which can provide the theoretical basis for the collaborative automation of mining fleet on fully mechanized mining face.
Description: 
URI: http://localhost/handle/Hannan/157680
ISSN: 2169-3536
volume: 4
More Information: 5764
5775
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7551224.pdf8.42 MBAdobe PDFThumbnail
Preview File