The invention relates to the technical field of elevator electric vehicle recognition, in particular to an elevator electric vehicle recognition method and system based on anomaly detection, and the method comprises the following steps: extracting the edge contour of an object in a picture frame by frame based on the picture data of an elevator camera and light curtain infrared signal data; the method comprises the following steps: separating an object from a background region by edge detection, recording a width-to-height ratio of an object edge, calculating a change characteristic of an edge form on a time axis, and generating an object edge form data set; by dynamically extracting the edge contour of an object, combining with light curtain signal data, analyzing the width-to-height ratio and the motion trail of the object, and combining with comprehensive analysis of shielding time, light curtain signal frequency and reflection intensity, the accuracy of shielding behavior recording is improved, and accurate recording of abnormal behaviors of the electric vehicle is realized by utilizing correlation verification of load change and trail data. And elevator locking, voice warning and linkage alarm mechanisms are triggered through real-time feedback, and comprehensive guarantee is provided for safe operation of the elevator.
本发明涉及电梯电动车识别技术领域,具体为一种基于异常检测的电梯电动车识别方法及系统,包括以下步骤:基于电梯摄像头的画面数据和光幕红外信号数据,逐帧提取开门期间画面中的物体边缘轮廓,采用边缘检测分离物体与背景区域,记录物体边缘的宽度和高度比例,计算边缘形态在时间轴上的变化特性,生成物体边缘形态数据集。通过动态提取物体边缘轮廓并结合光幕信号数据,分析物体宽高比例和运动轨迹,结合遮挡时间、光幕信号频率及反射强度的综合分析,提高了遮挡行为记录的精确性,利用载重变化与轨迹数据的关联验证,实现电动车异常行为的精准记录,实时反馈触发电梯锁定、语音警告和联动报警机制,为电梯安全运行提供了全面保障。
Elevator electric vehicle identification method and system based on anomaly detection
一种基于异常检测的电梯电动车识别方法及系统
2025-03-14
Patent
Electronic Resource
Chinese
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