The invention relates to the technical field of mine electric locomotives, and discloses a mine electric locomotive unmanned comprehensive control method based on artificial intelligence. The method comprises the following steps: S1, multi-modal environment perception: acquiring static and dynamic data of a mine environment by a multi-modal sensor, and processing the data through a sensor fusion technology; s2, real-time environment modeling: fusing multi-modal data to construct a mine three-dimensional real-time environment model; and S3, dynamic target trajectory prediction: predicting the motion trajectory of the dynamic target based on the deep learning model. And through a deep learning model, carrying out modeling and prediction on a historical motion track of a dynamic target. Through a multi-head self-attention mechanism, the model can accurately capture the time correlation and the multi-target interaction relationship in the target trajectory, the probability distribution of the future trajectory is generated, and important support is provided for obstacle avoidance decision and path optimization in a complex dynamic environment.

    本发明涉及矿井电机车技术领域,公开了基于人工智能的矿井电机车无人驾驶综合控制方法,包括以下步骤;S1、多模态环境感知:多模态传感器获取矿井环境的静态与动态数据,并通过传感器融合技术进行数据处理;S2、实时环境建模:融合多模态数据构建矿井三维实时环境模型;S3、动态目标轨迹预测:基于深度学习模型对动态目标的运动轨迹进行预测。通过深度学习模型,对动态目标的历史运动轨迹进行建模和预测。通过多头自注意力机制,模型能够精准捕捉目标轨迹中的时间相关性和多目标交互关系,生成未来轨迹的概率分布,为复杂动态环境下的避障决策和路径优化提供了重要支持。


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    Title :

    Mine electric locomotive unmanned comprehensive control method based on artificial intelligence


    Additional title:

    基于人工智能的矿井电机车无人驾驶综合控制方法


    Contributors:
    LU KUNJUN (author) / PAN JINGYAN (author) / CAO YANAN (author) / SUN ZHANYAN (author) / LIU SHUYI (author) / YANG QISONG (author) / LIU YANG (author) / WANG JUEJUN (author) / YIN HAOLIN (author) / LUO HONGQUAN (author)

    Publication date :

    2025-04-18


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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