(资料图)
图为作业人员利用3D轨道状态巡检系统检测设备状态。国家能源集团供图
3D轨道状态巡检系统基于线结构光和机器视觉技术，利用3D激光视觉传感器采集钢轨、扣件、轨枕、道床等轨道基础设施的三维图像和数据，通过“数据比对+模板匹配+机器学习”三重嵌套的智能检测算法进行处理和计算，实现了轨道可视病害的定性和定量识别，自动输出联结零件、钢轨、接头、轨枕以及道床病害的位置、类型、数值等关键信息，为轨道养护维修提供客观依据。该系统可以代替人工巡检，大大提高检测速度及检测精度，提高线路巡检的总体效率，提升重载铁路的智能化水平。
为确保该系统满足既有设备需要，该公司结合现场病害模型，及时调整检测分析算法，加强“数据比对+模板匹配+机器学习”调试，整合自动输出钢轨、轨枕连接零配件及道床病害的位置、类型、数值等关键信息，实现轨道可视病害的定性分析和定量识别，为精准指导现场设备维修提供科学依据。
(责任编辑：范晓婷)
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