Intelligent control system and method for mine ventilation automation

By applying multiple adaptive dynamic game optimization algorithms and reinforcement learning technology in the mine ventilation system, ventilation control strategies are adjusted in real time, and the problems of poor adaptability and insufficient emergency response capabilities of traditional systems in complex environments are solved, achieving more efficient ventilation control and mine safety guarantees.

CN119739234AActive Publication Date: 2025-04-01JIAOJIA GOLD MINE OF SHANDONG GOLD MINING (LAIZHOU) CO LTD
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Patent Information

Application Number
CN202510242392.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-03
Publication Date
2025-04-01
Estimated Expiration
2045-03-03

AI Technical Summary

Technical Problem

Traditional mine ventilation systems have poor adaptability to ventilation control in complex environments, low efficiency, and insufficient emergency response capabilities to emergencies.

Method used

The multi-adaptive dynamic game optimization algorithm is used to combine the adaptive feedback mechanism of reinforcement learning to generate and adjust the ventilation control strategy in real time. Through predictive feedback and real-time feedback, the system's adaptability and coping ability are improved.

Benefits of technology

It improves the control strategy optimization capability of the mine ventilation system under different environmental conditions, improves ventilation efficiency, reduces energy consumption, and enhances the ability to respond to emergencies to ensure the safety of mine operations.

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Abstract

The invention relates to the technical field of mine ventilation, in particular to an intelligent control system and method for mine ventilation automation. Comprising the following steps: preprocessing original data to obtain preprocessed data; performing intelligent analysis on the preprocessed data by using a multi-adaptive dynamic game optimization algorithm to obtain an analysis result, and generating a final control strategy based on the analysis result; introducing prediction feedback and real-time feedback to dynamically adjust the final control strategy to obtain an adjusted control strategy; based on the adjusted control strategy and the preprocessed data, an adjusted control instruction and an emergency control instruction are obtained, and control equipment in the mine is adjusted; the technical problems that mine ventilation is poor in ventilation control adaptivity and low in efficiency in a complex environment are solved.
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