De-noise of Online Monitoring Basic Data Collected by Surveying Robots

International Association of Online Engineering

Hongqi Xiong¹  Houguang Sun¹  Hankang Zhang²  Yachun Mao²  Wei Li³ 

[1] Anqian mining Co.Ltd;Northeastern University;University of Science and technology Liaoning

关键词: Slope monitoring;    Surveying robot;    Filtering;    Accuracy;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

Abstract —Three-dimensional online monitoring systems based on a surveying robot (TCA2003) are widely used in the slope monitoring of various open pits. A lot of noise is contained in basic monitoring data (azimuth, vertical angle, distance) because of various factors. Thus, the accuracy of basic monitoring data is greatly reduced, and this issue has become a limitation in landslide warning. In this paper, multi-cycle monitoring data from multiple open pits are used as data source and de-noised using different filtering methods. At the same time, filtering effect is evaluated using the image and accuracy of filtered basic data. Best filtering methods of different monitoring basic data are proposed, laying the foundation for automated processing of monitoring data based on a surveying robot.

【 授权许可】

Unknown