Intelligent dispatching method and system for mining movable unmanned cleaning machine

By collecting and analyzing the real-time status information of unmanned cleaning machines, task adaptability ranking and path planning are generated, which solves the problem of low cleaning efficiency of unmanned cleaning machines in mining environments, realizes real-time equipment status monitoring and rational task allocation, and improves the overall efficiency of mine cleaning operations.

CN121010135APending Publication Date: 2025-11-25YULIN SHENHUA ENERGY CO LTD +1
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Patent Information

Application Number
CN202511063979.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-31
Publication Date
2025-11-25

AI Technical Summary

Technical Problem

Unmanned cleaning machines in mining environments have low cleaning efficiency, lack a digital and standardized operation and maintenance system, and fail to monitor equipment operating status in real time, leading to unreasonable task allocation and resource waste.

Method used

By collecting real-time equipment status information of unmanned cleaning machines, a schedulable equipment catalog is generated. Combining equipment operation efficiency and data on the area to be cleaned, task adaptability sorting and path planning are performed, and the operation sequence is dynamically adjusted to optimize task allocation and path planning.

Benefits of technology

It improved the collaborative operation efficiency of unmanned cleaning machines, solved the problems of low equipment utilization, unreasonable task allocation and poor path planning efficiency, and improved the overall efficiency of mine cleaning operations.

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Abstract

The invention discloses an intelligent scheduling method and system for mining movable unmanned cleaning machines, and the method comprises the steps: collecting the equipment state information of each unmanned cleaning machine, and generating a schedulable equipment directory; according to the equipment operation efficiency parameters of the unmanned cleaning machines in the schedulable equipment catalog and the pollution degree and the distribution state of the to-be-cleaned area, a task suitability sorting list is output, and a preliminary distribution list is generated in combination with task priorities; based on the position relation between the equipment and the cleaning area, optimizing the operation area to generate a path planning map; and integrating the distribution list and the path planning map to determine a final task distribution list. The problem that the cleaning efficiency is low when the unmanned cleaning machine is used for automatic cleaning operation in the mine environment is solved, and the effect of improving the collaborative operation efficiency of the unmanned cleaning machine in the mine environment is achieved.
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