采空区激光探测精度影响因素分析及误差修正

Impact factors analysis and error correction of laser scanning for goaf

针对矿山采空区激光扫描时易于产生误差,影响探测精度而导致空间信息建模失真的问题,确定所获点云数据的关键误差即噪声点和模型倾角误差,基于灰关联理论分析探测过程中误差的主要影响因素及主次关系,进行设备因素、环境因素、人为因素的多因素对比分析,提出基于多项式拟合的倾角误差的修正方法和基于二阶几何连续性的噪声点删除方法。研究结果表明:影响因素分析结果可用来指导探测过程,规避误差,误差修正后的空区边界坐标、体积、顶板暴露面积等参数更准确,提高了采空区激光探测精度。

Noise points and model inclination error were put forward as the error is easy to be formed in laser scanning of goaf brought about modeling distortion. The main factors of error and the primary-secondary relationships were analysed during goaf detection based on gray relational theory, and multifactor such as equipment, environmental and operator was compared. Inclination error correction method was proposed based on polynomial fitting, and point delete method based on second order geometric continuity. The validation shows that factor analysis can reduce errors effectively and correction data accurately reflects the goaf boundary information, volume and the exposed roof area, thereby providing a technical support for dealing with goaf laser scan.