Study of Multi-unit UAV in the Optimal Global Scheduling of High Voltage Tower Management Application

In power grids and towers of tens of kilometers, it is impractical to use only one drone for inspection and cleaning operations. The joint operation of multiple UAVs complies with the effectiveness and efficiency arrangements. However, in the case of joint flight and operation of multiple UAVs, GOS becomes important, which is also the important core of this research. This study mainly applies the combined optimization of hyperbolic partial differential equations through the mathematical wave vibration model to achieve the GOS of multi-unit UAV collaborative power grids and towers detection and cleaning system. This study analyzed the flight position convergence, and found that the OCS of multi-unit UAV collaborative power grids and towers detection and cleaning system in this study is more capable of controlling the flight position than the previous method, and the data is similar to 90 m. Also, the time delay error is also compared. The result can also be seen that the OCS of this study is better than the traditional method by about 0.2 under the same iteration steps. To sum up the foregoing, This study believes that the OCS of multi-unit UAV collaborative power grids and towers detection and cleaning system in this study has better tracking and matching capabilities of position and flight speed of UAV, with less delay error and better convergence, so it can provide The robustness and reliability of OCS that meet our needs.