Mine post personnel behavior identification method and system based on artificial intelligence

By constructing a dynamic behavioral logic benchmark model for mining positions and an AI behavior difference adaptation model, the shortcomings of traditional methods in identifying personnel behavior are solved, enabling intelligent identification and compliance judgment of personnel behavior in mining operation scenarios, and improving identification efficiency and accuracy.

CN121330601APending Publication Date: 2026-01-13YANKUANG ENERGY GRP CO LTD +1
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Patent Information

Application Number
CN202511423315.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2025-09-24
Filing Date
2025-09-30
Publication Date
2026-01-13

AI Technical Summary

Technical Problem

Traditional personnel behavior recognition methods rely on manual inspections or simple video surveillance in mining operations, which cannot achieve real-time and comprehensive monitoring, and lack intelligent analysis capabilities. They are unable to accurately determine whether personnel behavior meets job requirements and cannot provide effective decision support for mine operation management.

Method used

A dynamic behavioral logic benchmark model for mining positions is constructed. The weights of behavioral logic dimensions are dynamically adjusted based on historical behavioral recognition results. Feature adaptation and enhancement are performed through an AI behavioral difference adaptation model to filter out behavioral data to be identified, and behavioral control instructions are generated based on preset compliance verification rules.

Benefits of technology

It enables intelligent and comprehensive identification and analysis of the behavior of personnel in mining positions, improves data processing efficiency and relevance, accurately determines whether behavior meets job requirements, and provides effective decision support.

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Abstract

The invention provides a mine post personnel behavior identification method and system based on artificial intelligence, and the method comprises the steps: constructing a mine post dynamic behavior logic reference model, combing post personnel standard operation behavior and process node association logic, and dynamically adjusting the weight. Acquiring personnel behavior acquisition data, and performing adaptive processing on the data and the model to obtain to-be-identified behavior data; and calling a pre-trained AI behavior difference adaptation model to carry out bidirectional feature adaptation, and generating dynamically optimized behavior feature adaptation parameters. And based on the parameters, performing enhancement processing on the to-be-identified behavior data, mining hidden logic association, and generating an enhanced behavior difference feature set. And performing compliance verification according to a preset rule base to obtain a compliance verification result. And finally, generating a post behavior control instruction according to the result and sending the post behavior control instruction to a mine operation control terminal. According to the invention, behaviors of mine post personnel can be accurately identified, and operation safety and high efficiency are guaranteed.
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