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Advancing Robotic Technology in Coal Mining

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Advancing Robotic Technology in Coal Mining

Researchers in Energies propose an advanced framework for robotic technology systems in coal mining operations to enhance safety, efficiency, and intelligence, based on a comprehensive review of current research and application status.

Context

Particularly in emerging nations, coal is a vital source of energy and a raw material for numerous businesses. However, because of the difficult and complicated underground circumstances, coal mining presents significant dangers to public health as well as environmental issues. Thus, in order to decrease the demand for human labor and increase efficiency and safety in coal mining operations, technological innovation and automation are desperately needed.

Using coal mining robots, which are specialized vehicles capable of carrying out a range of duties in deep mines, including digging, coal cutting, transporting, inspection, security control, rescue, and maintenance, is one viable approach. They can lower the labor intensity and expense of using human laborers while also increasing productivity, quality, and safety. These robots are able to work in intricate and dynamic contexts, adjusting to changing circumstances and cooperating with humans and other robots.

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They also reduce the amount of dust, noise, gas, and other risks that miners are exposed to, which increases productivity. As a result, they are essential to the creation of intelligent coal mines because they combine robotization, intelligence, and networking to provide transparent and flexible mining procedures.

Concerning the Research

The results demonstrated notable technological and practical developments in coal mining robots in recent years. The following developments and accomplishments in the field of coal mining robot development were emphasized by the authors:

  • China and other nations have seen significant advancements in the field of coal mining robotics, with more coverage, better definitions of concepts, and a growing number of robot products and intelligent equipment used in the coal mining industry.
  • These robots are capable of performing a wide range of tasks and modes of operation, such as transparent mining, intelligent adaptive mining, visual remote intervention, autonomous control, remote control, and collaborative control.
  • They have lessened labor intensity, energy consumption, and environmental effect while increasing the safety, intelligence, and efficiency of coal mining operations.

Robots used in coal mining still face certain technological and engineering difficulties, nevertheless. These include the integration and coordination of robot systems and equipment, as well as the design and manufacturing of robots that are dependable, flexible, and standardized. Furthermore, there are also issues with how to perceive and manage dynamic, complex mining settings as well as how subterranean and aboveground networks communicate and interact.

Uses

The significance of coal mining robots in achieving the goals of intelligent coal mines was underscored by the researchers. These goals include the deep integration of intelligent technology with elements including humans, machines, the environment, and management in the workplace, as well as the integration of networking, intelligence, and robotization.

These robots help reduce carbon dioxide emissions and the negative environmental effects of using coal by facilitating the switch to clean fuels and mining automation technologies. They also maximize the mining of essential raw minerals for sustainable energy, such as cobalt and lithium.

Furthermore, the industry and robot technology are driven by innovation and development in coal mining robots. They support the industrialization, standardization, and customisation of diverse robot product and service kinds as well as the cross-integration of contemporary robot technology with conventional coal mining mechanical equipment.

In summary

In summary, the research demonstrated that coal mining robots constitute an important subfield of the specialized robot field and are a vital technological advancement in the field of coal mine intelligence. The authors suggested concentrating on the following areas going forward:

  1. investigating which intelligent process mode is most suited for automated mining and building a complete framework for automated mining technologies from the bottom up.
  2. optimizing the robots’ iterative upgrades and optimized design while establishing a framework for remote intelligent operation, maintenance, and reliability testing for coal mining robots.
  3. enhancing the standardization, modularization, and industrialization of coal mine robots by creating an all-encompassing control platform and an operating system for all of them.

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Construction, Infrastructure and Mining   
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