Huang, Z.; Ge, S.; He, Y.; Wang, D.; Zhang, S. Research on the Intelligent System Architecture and Control Strategy of Mining Robot Crowds. Energies2024, 17, 1834.
Huang, Z.; Ge, S.; He, Y.; Wang, D.; Zhang, S. Research on the Intelligent System Architecture and Control Strategy of Mining Robot Crowds. Energies 2024, 17, 1834.
Huang, Z.; Ge, S.; He, Y.; Wang, D.; Zhang, S. Research on the Intelligent System Architecture and Control Strategy of Mining Robot Crowds. Energies2024, 17, 1834.
Huang, Z.; Ge, S.; He, Y.; Wang, D.; Zhang, S. Research on the Intelligent System Architecture and Control Strategy of Mining Robot Crowds. Energies 2024, 17, 1834.
Abstract
Fully mechanized mining face production involves complex geological conditions; mining pressure; gas, water, fire and other mining environments. The working face needs a shearer, hydraulic support, a scraper conveyor and other equipment for coordination. The deep integration of intelligent technology with factors such as "humans, machines, the environment, and management" in the workplace is the core content of intelligent coal mines. This paper puts forward an advanced framework for coal mining robot technology systems, including single robots, robotized equipment, robot clusters and unmanned systems. The framework clarifies the common key technologies of coal mining robot research and development and cross-integration with new technologies such as 5G, the industrial internet, big data, artificial intelligence, and digital twins to improve the autonomous and intelligent application of coal mining robots. By establishing a scientific and complete standard system for coal mining robots, we aim to achieve customized research and development and standardized production of various types of robots. A specific analysis was conducted on the research progress of common key technologies such as explosion-proof design, mechanical system innovation, power drive, intelligent sensing, positioning and navigation, and underground communication of coal mining robots. The current research and application status of various types of coal mining robots in China are summarized. A new direction for future coal mine robot research and development is proposed. Moreover, robotic mining systems should be promoted to enhance the overall intelligence level and mining efficiency of mining equipment. To develop human‒machine environment-integrated robots to improve the autonomy and collaboration level of coal mining robots. The digital twinning of the entire mine robot system should be accelerated, the normalized operation level of coal mine robots should be improved, research on coal mining robots, support robots, and transportation robots should be carried out, intelligence should be achieved in fully mechanized mining faces, and equipment support for fewer and unmanned fully mechanized mining faces should be provided. The practical process of implementing coal mining robotization has been summarized, and the technical and engineering feasibility of the coal mining machine population has been verified.
Keywords
Coal mining; Robot swarm; Intelligent system; Architecture; Control strategy
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
