The invention discloses a detection method and system for people falling during elevator taking and a household elevator falling detection method, and belongs to the technical field of elevators of the internet of things. An existing falling detection scheme based on a video image is not suitable for a place environment or a scene with extremely high privacy requirement. According to the fall detection method for the elevator passengers, the array data collection model, the elevator entering recognition model, the elevator passenger number calculation model and the fall detection model are constructed, array sensing data serve as detection data, fall judgment is carried out, image data of the elevator passengers do not need to be collected, and the detection accuracy is improved. Compared with an existing image data fall detection scheme, the method has the advantages of being high in privacy and low in cost, so that the method can be suitable for a place environment or scene with the extremely high requirement for privacy, meanwhile, sensing array data is used for conducting detection and judgment, the data size is small, the processing process is simpler, and the method is suitable for large-scale popularization and application. Therefore, real-time falling detection can be carried out and popularization and application are facilitated.

    本发明公开了电梯乘梯跌人倒检测方法、系统和家用电梯跌倒检测方法,属于物联网电梯技术领域。现有的基于视频图像的跌倒检测方案,并不适用在对隐私性要求极高的场所环境或场景中。本发明的一种电梯乘梯人跌倒检测方法,通过构建阵列数据采集模型、进梯识别模型、电梯人数计算模型、跌倒检测模型,利用阵列传感数据作为检测数据,进行跌倒判断,可以不需要采集乘梯人的图像数据,使得本发明相比现有图像数据跌倒检测方案,具有隐私性强、成本较低的优势,从而使得本发明能够适用在对隐私性要求极高的场所环境或场景中,同时利用传感阵列数据,进行检测判断,数据量较小,处理过程更加简单,从而可以进行实时跌倒检测,利于推广使用。


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    Titel :

    Method and system for detecting falling of people during elevator taking and method for detecting falling of home elevator


    Weitere Titelangaben:

    电梯乘梯跌人倒检测方法、系统和家用电梯跌倒检测方法


    Beteiligte:
    JIANG XIANLIANG (Autor:in) / LI WEIMING (Autor:in) / LIANG YUHAI (Autor:in) / CUI ZEHUI (Autor:in) / XING YUE (Autor:in)

    Erscheinungsdatum :

    2023-12-01


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66B Aufzüge , ELEVATORS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V





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