Cargando…

Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces

The foundation of intelligent collaborative control of a shearer, scraper conveyor, and hydraulic support (three-machines) is to achieve the precise perception of the status of the three-machines and the full integration of information between the equipment. In order to solve the problems of informa...

Descripción completa

Detalles Bibliográficos
Autores principales: Feng, Haotian, Fang, Xinqiu, Chen, Ningning, Song, Yang, Liang, Minfu, Wu, Gang, Zhang, Xinyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534460/
https://www.ncbi.nlm.nih.gov/pubmed/37766011
http://dx.doi.org/10.3390/s23187956
_version_ 1785112399489007616
author Feng, Haotian
Fang, Xinqiu
Chen, Ningning
Song, Yang
Liang, Minfu
Wu, Gang
Zhang, Xinyuan
author_facet Feng, Haotian
Fang, Xinqiu
Chen, Ningning
Song, Yang
Liang, Minfu
Wu, Gang
Zhang, Xinyuan
author_sort Feng, Haotian
collection PubMed
description The foundation of intelligent collaborative control of a shearer, scraper conveyor, and hydraulic support (three-machines) is to achieve the precise perception of the status of the three-machines and the full integration of information between the equipment. In order to solve the problems of information isolation and non-flow, independence between equipment, and weak cooperation of three-machines due to an insufficient fusion of perception data, a fusion method of the equipment’s state perception system on the intelligent working surface was proposed. Firstly, an intelligent perception system for the state of the three-machines in the working face was established based on fiber optic sensing technology and inertial navigation technology. Then, the datum coordinate system is created on the working surface to uniformly describe the status of the three-machines and the spatial position relationship between the three-machines is established using a scraper conveyor as a bridge so that the three-machines become a mutually restricted and collaborative equipment system. Finally, an indoor test was carried out to verify the relational model of the spatial position of the three-machines. The results indicate that the intelligent working face three-machines perception system based on fiber optic sensing technology and inertial navigation technology can achieve the fusion of monitoring data and unified expression of equipment status. The research results provide an important reference for building an intelligent perception, intelligent decision-making, and automatic execution system for coal mines.
format Online
Article
Text
id pubmed-10534460
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-105344602023-09-29 Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces Feng, Haotian Fang, Xinqiu Chen, Ningning Song, Yang Liang, Minfu Wu, Gang Zhang, Xinyuan Sensors (Basel) Article The foundation of intelligent collaborative control of a shearer, scraper conveyor, and hydraulic support (three-machines) is to achieve the precise perception of the status of the three-machines and the full integration of information between the equipment. In order to solve the problems of information isolation and non-flow, independence between equipment, and weak cooperation of three-machines due to an insufficient fusion of perception data, a fusion method of the equipment’s state perception system on the intelligent working surface was proposed. Firstly, an intelligent perception system for the state of the three-machines in the working face was established based on fiber optic sensing technology and inertial navigation technology. Then, the datum coordinate system is created on the working surface to uniformly describe the status of the three-machines and the spatial position relationship between the three-machines is established using a scraper conveyor as a bridge so that the three-machines become a mutually restricted and collaborative equipment system. Finally, an indoor test was carried out to verify the relational model of the spatial position of the three-machines. The results indicate that the intelligent working face three-machines perception system based on fiber optic sensing technology and inertial navigation technology can achieve the fusion of monitoring data and unified expression of equipment status. The research results provide an important reference for building an intelligent perception, intelligent decision-making, and automatic execution system for coal mines. MDPI 2023-09-18 /pmc/articles/PMC10534460/ /pubmed/37766011 http://dx.doi.org/10.3390/s23187956 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Feng, Haotian
Fang, Xinqiu
Chen, Ningning
Song, Yang
Liang, Minfu
Wu, Gang
Zhang, Xinyuan
Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces
title Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces
title_full Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces
title_fullStr Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces
title_full_unstemmed Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces
title_short Research on the Three-Machines Perception System and Information Fusion Technology for Intelligent Work Faces
title_sort research on the three-machines perception system and information fusion technology for intelligent work faces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534460/
https://www.ncbi.nlm.nih.gov/pubmed/37766011
http://dx.doi.org/10.3390/s23187956
work_keys_str_mv AT fenghaotian researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces
AT fangxinqiu researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces
AT chenningning researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces
AT songyang researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces
AT liangminfu researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces
AT wugang researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces
AT zhangxinyuan researchonthethreemachinesperceptionsystemandinformationfusiontechnologyforintelligentworkfaces