As power systems demand higher levels of safety and reliability, vegetation encroachment near transmission lines has become a critical threat to grid stability. Traditional manual tree-trimming methods suffer from low efficiency, high risk, and poor precision. In recent years, an innovative ‘millimeter-precision vegetation management technology’ using drones equipped with high-accuracy LiDAR and intelligent recognition systems has emerged. The drone performs 3D scanning of the transmission corridor, precisely measuring the clearance between power lines and nearby trees. AI algorithms then generate an optimal trimming path. A specialized drone fitted with a cutting mechanism executes the plan, trimming overgrown branches with millimeter-level accuracy—without contacting the conductors. This approach significantly enhances operational efficiency and safety while minimizing ecological impact from over- or mis-trimming. Piloted in multiple provinces and cities, the technology has already demonstrated a notable reduction in vegetation-related outages, offering robust support for building a smart, green, and efficient modern power grid.
随着电力系统对安全性和可靠性的要求不断提高，输电线路通道内的树障问题成为影响电网稳定运行的重要隐患。传统人工修剪方式存在效率低、风险高、精度差等问题。近年来，基于无人机搭载高精度激光雷达与智能识别系统的‘毫米级树障修剪技术’应运而生。该技术通过无人机对线路通道进行三维扫描，精准识别导线与树木之间的安全距离，并结合AI算法自动生成最优修剪路径。随后，配备专用切割装置的作业无人机可按照规划路径，在不接触导线的前提下，对超高或侵入安全距离的树枝进行毫米级精准修剪。这一技术不仅大幅提升了作业效率和安全性，还有效避免了因误剪或过度修剪对生态环境造成的破坏。目前，该技术已在多个省市试点应用，显著降低了因树障引发的跳闸事故，为构建智能、绿色、高效的现代电网提供了有力支撑。
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