Positioning Accuracy Evaluation for the Collaborative Automation of Mining Fleet With the Support of Memory Cutting Technology

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… (More)
DOI: 10.1109/ACCESS.2016.2602304

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Cite this paper

@article{Luo2016PositioningAE, title={Positioning Accuracy Evaluation for the Collaborative Automation of Mining Fleet With the Support of Memory Cutting Technology}, author={Chengming Luo and Xinnan Fan and Jianjun Ni and Hai Yang and Xuewu Zhang and Wei Li}, journal={IEEE Access}, year={2016}, volume={4}, pages={5764-5775} }