Abstract
Research on precise identification technology of coal and rock interfaces is carried out to resolve the problem of interface recognition of coal and rock in the intelligent mining of coal-firing equipment. Krawtchouk moment has been implemented in the extract of coal and rock's thermal infrared image, according to the highly recognized degree of Krawtchouk and its convenient operation. The invariant moment Krawtchouk and the vector support wavelet are proposed to identify the interfaces between charcoal and rock. The invariable time of Krawtchouk and the moments from Krawtchouk coal and rock infrastructure are calculated using thermal imaging cloud images from coal and rock cutting experiments in order to build the images of the coal and rock. The image is generated by thermal imaging. Then the vector support algorithms are built on the basis of the building of the self-vectors to recognize images of coal and rock. Results show that invariants in the Krawtchouk time used as the infrarouge image feature on the interface between coal and rock can better identify the image and significantly increase the recognition rate.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
