Abstract: In order to improve efficiency of unmanned inspection of offshore wind turbines and reduce the cost, it proposes an unmanned optimal path inspection strategy based on ant colony algorithm in this paper. Firstly, a patrol model for offshore wind farms is built and coordinates of wind turbine and booster locations are determined according to topology of the wind farm. Secondly, the best UAV-based inspection path is planned on Traveling Salesman Problem in term of coordinates. Secondly, ant colony algorithm is used to optimize the shortest patrol path to deal with combinatorial explosion problem. Finally, it is applied to unmanned inspection path planning for floating offshore wind farms to verify the feasibility of the proposed strategy. On the basis of this, a maintenance path management system for offshore wind farms has been designed.