An Inspection Mode Based on Unmanned Aerial Vehicle for Photovoltaic System

Due to the limitations of the low efficiency of human inspection affected by geographical environment, and the difficulties in locating failure position caused by the lack of data support in management, inefficient inspection has become the biggest difficulty in the operation and maintenance of photovoltaic power plants. Thus, finding a new type of intelligent operation and maintenance mode is meaningful to help improve the efficiency of photovoltaic power plants. With the help of unmanned aerial vehicle (UAVs), in this paper, an “artificial intelligence (AI) algorithm + cloud computing” mode is used to realized the unified modeling and access of unmanned inspection information in the whole photovoltaic power plant. By combining bit data, three-dimensional (3D) modeling and self-developed target fault point location algorithm, a new photovoltaic intelligent operation and maintenance mode is finally proposed. It can be proved that the intelligent cloud platform built under the proposed mode has improved the efficiency of photovoltaic inspection by more than 50%, which can greatly reduce the inspection time and improve the industrial efficiency.