Intelligent cooperative control system for coal mining process based on digital twinning

Through the digital twin coal mining process intelligent collaborative control system, the problems of data independence, poor automation capabilities and poor adaptability in traditional coal mining control systems have been solved, deep data integration and real-time intelligent regulation have been achieved, and the automation and adaptability of coal mining have been improved.

CN120611928APending Publication Date: 2025-09-09XIAOYUN COAL MINE JINING MINING IND GRP CO LTD
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Patent Information

Application Number
CN202510747991.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-05
Publication Date
2025-09-09

AI Technical Summary

Technical Problem

The traditional coal mining control system has independent modules, low data utilization, poor automation capabilities, and poor adaptability, making it difficult to achieve deep integration analysis and adaptive adjustment of equipment operation data and environmental data.

Method used

The intelligent collaborative control system for coal mining processes based on digital twins builds a full-factor perception system through multi-source heterogeneous acquisition modules. Combining the nonlinear coupling algorithm of the data processing module and the digital twin modeling module, it constructs a three-dimensional dynamic geological twin to achieve deep correlation mining of data and real-time intelligent regulation.

Benefits of technology

It has achieved in-depth correlation mining of equipment operation, environment, and geological data, improved data utilization, shortened decision-making time, and increased the accuracy of automated control. It can also adapt to complex geological conditions, optimize resource utilization, and reduce equipment loss.

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Abstract

The invention discloses an intelligent cooperative control system for a coal mining process based on digital twinning, and particularly relates to the technical field of coal mining, which comprises a multi-source heterogeneous acquisition module, an anti-impact vibration sensor and a multi-protocol edge gateway implanted at key sites of a coal mine area, a mining system total factor perception system is constructed through an embedded sensor network and industrial Internet of Things protocol fusion technology, coal mining data is collected in real time, data robustness is enhanced through fault-tolerant Kalman filtering, and a spatial original data set is constructed; according to the invention, a total-factor perception system is constructed through the multi-source heterogeneous acquisition module to acquire data, and a multi-dimensional influence coefficient is output through fusion analysis of the data processing module, so that the problem of data independence is solved, deep association mining of equipment operation, environment and geological data is realized, and the data utilization rate is improved.
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