A downhole coal flow image enhancement and large material intelligent identification early warning system

CN122116006APending Publication Date: 2026-05-29YULIN SHENHUA ENERGY CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YULIN SHENHUA ENERGY CO LTD
Filing Date
2026-04-24
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies for identifying large coal materials in underground mines suffer from problems such as high false positive and false negative rates, severe image blurring and pixel offset, and fixed size thresholds that cannot be adapted to the needs of different equipment, leading to blockages, damage, and safety hazards in conveying equipment.

Method used

The system employs multi-view image acquisition, image offset compensation, lightweight 3D contour reconstruction, and graded early warning. It combines operating parameters to perform vibration-velocity coupling offset correction, dynamically configures safety thresholds, generates graded early warning signals, and links them to equipment control.

Benefits of technology

It accurately identifies large materials, eliminates image blurring and positional shifts, adapts to the needs of different coal mine equipment, and enables rapid and reliable early warning and response, avoiding equipment jamming and safety hazards.

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Abstract

The application discloses a kind of underground coal flow image enhancement and large lump material intelligent identification early warning system, and the application relates to the technical field of coal mine underground coal flow monitoring, by multi-view angle collection coal flow 2D image, vibration-speed coupling offset compensation is carried out in combination with working condition parameter, after 3D profile is extracted actual size by multi-view angle fusion reconstruction, after comparison with dynamic safety threshold, hierarchical early warning is generated and equipment is linked, the advantages of the application are that: by multi-view angle collection underground coal flow 2D image of different angles, vibration-speed coupling offset compensation is carried out to image in combination with working condition parameter, then based on multi-view angle image fusion algorithm, material real 3D profile is reconstructed, actual size of material is accurately extracted and compared with dynamically configured safety threshold, hierarchical early warning signal is generated and conveyor control system is linked to execute targeted disposal, solve the problem that existing technology depends on 2D image projection size judgment, and large lump material is missed due to coal flow stacking shielding.
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