Research on coal mine safety management based on digital twin

Area of Science:

• Mining Engineering
• Safety Science
• Digital Technology

Background:

• Traditional coal mine safety management relies on manual detection, leading to inefficiencies in risk identification, control accuracy, and response times.
• Existing models struggle to address the complexities and potential dangers of coal mine accidents effectively.

Purpose of the Study:

• To introduce and apply digital twin technology for intelligent and efficient coal mine safety management.
• To develop a digital twin safety management model specifically for coal mine gas accidents.
• To demonstrate the advantages of digital twin technology in preventing, responding to, and controlling mine gas incidents.

Main Methods:

• Utilized the five-dimensional model as the basis for constructing the digital twin.
• Analyzed coal mine accident types, focusing on gas accidents as the research object.
• Employed quality functional deployment to establish the house of quality for the gas accident digital twin model.

Main Results:

• A digital twin safety management model for coal mine gas accidents was successfully constructed.
• The operational mechanism of the digital twin model was analyzed, highlighting its benefits for prior prevention, rapid response, and accurate control.
• Key technical requirements for the twin model's construction were identified.

Conclusions:

• Digital twin technology offers an innovative solution for intelligent coal mine safety management.
• The proposed model provides a framework for applying digital twins to multi-scenario smart mine construction.
• This research paves the way for broader applications of digital twin technology in the mining sector.