Abstract: Unmanned aerial vehicle (uav) navigation efficient query,latitude and longitude data in the database of the unmanned aerial vehicle (uav) flight performance is very important.Based on artificial immune algorithm to optimize the uav navigation database query optimization of latitude and longitude data model.Model set the flight data of the initial cluster centers,the massive latitude and longitude data attribute selection,calculation of different latitude and longitude data attribute similarity,and real-time cluster analysis of the above characteristics,each query,complete data attribute screening,the features of the latitude and longitude data is always up-to-date,realize the query of the latitude and longitude data.Experimental results show that using this method for uav navigation database of latitude and longitude data query,can reduce the query error,to further improve the performance of the unmanned aerial vehicle (uav) has important guiding significance.