Acceptance of electric tower base and transmission line tower quality based on UAV multi-source sensors

With the continuous expansion and complexity of the power system, the safe operation and maintenance management of transmission lines have become particularly important. The traditional manual acceptance method has inefficiency and safety risks, and is no longer suitable for the needs of modern power systems. In this paper, a quality acceptance method for electric tower bases and transmission line towers based on UAV multi-source sensors is proposed. The study utilizes UAV-carried tilt photography, 3D laser scanning and airborne LiDAR technology to acquire high-precision 3D data of transmission line towers and their bases. Through data processing and multi-source data fusion, the 3D model reconstruction of transmission line towers and pedestals is realized. The method of this study not only improves the efficiency and safety of acceptance, but also provides scientific and accurate decision support for the maintenance and management of power facilities.