The power industry serves as a fundamental base for modern society's operations. It not only ensures the continuity and efficiency of economic activities but is also crucial for technological innovation and sustainable environmental development. In recent years, intelligent inspections have gradually replaced traditional methods, significantly enhancing the efficiency and safety of inspections within the power sector.

Traditional power system inspections primarily rely on manual patrolling, which demands highly skilled operators. This method is characterized by lengthy inspection cycles and low efficiency, and it carries a high risk factor. GVI's innovative intelligent power inspection solution enables equipment to automatically follow power lines in flight and to automatically hover when encountering obstacles, significantly enhancing operational efficiency and reducing risks.

During 2023-2024, Greek clients utilized GVI's "LiAir+LiPowerline" smart grid solution to complete the intelligent inspection of local transmission lines.

The project covered all major transmission lines across Greece.

The project employed the LiAir X3-H product, significantly improving the efficiency and safety of transmission line inspections.

The point cloud data of the power grid can be directly imported into the LiPowerline software for processing and analysis. The software is capable of automatically classifying terrain objects with an accuracy of over 90%.

Point Cloud Classification

LiPowerline allows for a series of safety inspections based on the classified point cloud data, including clearance danger point analysis, sag analysis, pole tilt analysis, phase distance analysis, and allowable stress analysis.

Pole Vectorization

Phase Distance Analysis

Sag Analysis

Shield Wire Sag Analysis

The working condition simulation module of LiPowerline can simulate the status of power lines under extreme conditions and environments, helping power grid departments prepare in advance for extreme weather conditions, such as ice coverage analyses, high wind analyses, and tree growth analyses. It supports exporting analysis reports to precisely locate risk points.

For working condition simulations: wind speed at 31m/s, temperature at 55°C

Crossing Analysis

Additionally, LiPowerline can utilize deep learning methods to automatically batch vectorize ground conductors, automate the hanging of insulators, and automatically generate detailed inspection flight routes and waypoints, aiding in precision-based grid inspections.