The invention discloses a rail foreign matter monitoring method, system and device based on heterogenous data and a medium, and the method comprises the following steps: obtaining heterogenous data including point cloud data and image data; performing rail surface searching according to the image data, and determining a target monitoring area; screening the point cloud data by using the target monitoring area to obtain a monitoring point cloud set; searching for abnormal points according to the monitoring point cloud set to obtain an abnormal point set; and projecting the abnormal point set to the target monitoring area, and monitoring foreign matters in the target monitoring area. The method can automatically identify the target monitoring area, fully utilizes the advantages of each monitoring technology, and can accurately monitor the foreign matters on the track.
本发明公开了一种基于异源数据的轨道异物监测方法、系统、设备及介质,方法包括如下步骤:获取异源数据,异源数据包括点云数据和图像数据;根据图像数据进行轨面查找,确定目标监测区域;利用目标监测区域对点云数据进行筛选,获得监测点云集;根据监测点云集,进行异常点寻找,获得异常点集;将异常点集投影到目标监测区域,监测目标监测区域中的异物。本方法可自动识别目标监测区域,同时充分利用各监测技术的优势,可准确监测轨道上存在的异物。
Track foreign matter monitoring method, system and equipment based on heterogenous data and medium
基于异源数据的轨道异物监测方法、系统、设备及介质
2025-03-25
Patent
Electronic Resource
Chinese
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