A borehole emptying branch line early warning control method, system, device and medium

By combining multimodal monitoring with edge computing, a coal mine underground borehole blowout early warning system was constructed, which realizes accurate identification and hierarchical linkage control of blowouts, solves the problems of delayed blowout early warning and high false alarm rate in existing technologies, and ensures the safety of underground operations and production continuity.

CN122190837APending Publication Date: 2026-06-12ZHENGZHOU HUILI TECHNOLOGY CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHENGZHOU HUILI TECHNOLOGY CO LTD
Filing Date
2026-05-15
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

In existing technologies, the early warning of blowouts during underground drilling in coal mines mainly relies on a single gas concentration monitoring system, which suffers from lag and a high false alarm rate, making it difficult to achieve early warning and lacking intelligent hierarchical risk control.

⚗Method used

By integrating multi-dimensional monitoring data from vision, acoustics, operating conditions, and gases, and utilizing edge computing and artificial intelligence fusion algorithms, a multimodal perception system is constructed. This system performs anti-interference preprocessing and feature extraction, and, combined with risk level-based linkage control, generates corresponding control commands.

🎯Benefits of technology

It enables full-dimensional capture and accurate early warning of borehole blowout precursors, improves the robustness of early warning logic in complex downhole environments, and ensures the safety and production continuity of mine drilling operations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of borehole emptying branch warning control method, system, equipment and medium, belong to coal mine safety monitoring technical field.It includes obtaining the original multi-modal monitoring data of current drilling face, and the drilling machine operating parameter collected by drilling machine working condition monitoring module;The original multi-modal monitoring data is carried out anti-interference edge pretreatment, and multi-modal input data is obtained;Based on the multi-modal input data, features are extracted respectively, and input into the pre-trained multi-modal precursor fusion identification model, and the current hole-blowing precursor fusion risk probability is output;According to the hole-blowing precursor fusion risk probability, risk dynamic classification is carried out, and the risk level of the current drilling state is determined;Based on the risk level determined, the corresponding hierarchical linkage control instruction is generated, and is issued to field programmable logic controller and regional power supply control node for execution.The application solves the technical problem of borehole hole-blowing early warning control.
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