A special scenario photovoltaic power plant unmanned aerial vehicle trajectory optimization improvement method based on A * algorithm

With the continuous expansion of Photovoltaic power plants, drone inspection has become an important means to ensure their efficient operation. It is crucial to optimize the trajectory of drones in complex and special scenarios to improve inspection efficiency and accuracy. This article proposes an improved method for optimizing the trajectory of unmanned aerial vehicles (UAVs) in special scenarios of photovoltaic power plants based on the A algorithm. By improving the traditional A algorithm, it can better adapt to the special environmental requirements of photovoltaic power plants, effectively reduce the length of UAV flight paths, and improve inspection coverage.