本申请提供一种用于无人驾驶智能塔吊的物料自动特征识别方法和装置。其中,所述用于无人驾驶智能塔吊的物料自动特征识别方法,包括:获取全局摄像机拍摄的所述智能塔吊工作场景的全局影像,通过图像识别算法在所述全局影像中识别出载具和物料,根据预设的载具使用条件,确定所述物料的类型,其中,不同的载具用于装载不同类型的物料;根据所述类型的物料的标准尺寸,判断识别到的所述物料是否被遮挡;在判断所述物料未被遮挡的情况下,确定所述物料符合吊装条件。本申请方案能够准确的识别出物料并判断其是否被遮挡,进而确定所述物料是否符合吊装条件以进行快速、准确的吊装,进而提高智能塔吊的智能化、自动化水平和安全性。

    The invention provides an automatic material feature recognition method and device for an unmanned intelligent tower crane. The automatic material feature recognition method for the unmanned intelligent tower crane comprises the steps that a global image, shot by a global camera, of a working scene of the intelligent tower crane is obtained, a carrier and materials are recognized in the global image through an image recognition algorithm, and the type of the materials is determined according to preset carrier use conditions, different carriers are used for loading different types of materials; judging whether the identified material is shielded or not according to the standard size of the material of the type; and under the condition that it is judged that the materials are not shielded, it is determined that the materials meet the hoisting condition. According to the scheme, the materials can be accurately recognized, whether the materials are shielded or not can be judged, then whether the materials meet the hoisting conditions or not is determined, rapid and accurate hoisting is carried out, and then the intelligence level, the automation level and the safety of the intelligent tower crane are improved.


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    Titel :

    用于无人驾驶智能塔吊的物料自动特征识别方法和装置


    Erscheinungsdatum :

    2023-06-02


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66C Krane , CRANES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G06V