Unmanned Aerial Vehicle Wind Turbine Inspection Systems And Methods

1 . A system comprising one or more processors and one or more computer storage media storing instructions that when executed by the one or more processors causes the one or more processors to perform operations comprising:

obtaining first sensor information by an unmanned aerial vehicle (UAV), the first sensor information describing physical aspects of a wind turbine, including one or more blades of the wind turbine;

determining an orientation of the blades of the wind turbine based on the obtained first sensor information;

determining a flight pattern for the UAV to inspect the blades of the wind turbine, wherein the flight pattern is based on the determined orientation of the blades; and

inspecting by the UAV, each of the blades of the wind turbine according to the determined flight pattern, wherein inspecting comprises obtaining second sensor information describing the blades of the wind turbine.

2 . The system of claim 1 , wherein the operation of determining an orientation of the blades comprises:

activating a distance sensor that measures distance from the UAV to the wind turbine, and storing measurements obtained from the distance sensor;

generating, from the stored measurements, a point cloud, the point cloud representing the wind turbine; and

determining the orientation of the blades from the generated point cloud.

3 . The system of claim 1 , wherein the operation of determining an orientation of the blades comprises:

activating a camera coupled to the UAV, and obtaining at least one image of the wind turbine, including the one or more blades;

determining a pose of the camera for each obtained image based on the physical aspects of the wind turbine, the pose indicating at least a position and an orientation of the camera; and

determining the orientation of the blades based on the determined poses and images of the wind turbine.

4 . The system of claim 1 , wherein the operation of determining an orientation of the blades comprises:

obtaining a plurality of images of a rotor hub of the wind turbine and a portion of at least one blade that connects to the rotor hub;

generating a point cloud based on the obtained images; and

determining the orientation of the blades from the generated point cloud.

5 . The system of claim 1 , wherein the operation of inspecting each of the blades comprises at least:

navigating the UAV, via autopilot, along a first blade of the wind turbine from a first blade distal end to a first blade proximal end, the first blade proximal end coupled to a center blade hub of the wind turbine;

while navigating the UAV along the first blade periodically obtaining sensor information describing the first blade;

navigating the UAV, via autopilot, along a second blade from a second blade proximal end to a second blade distal end, the second blade proximal end coupled to the center blade hub of the wind turbine; and

while navigating the UAV along the second blade periodically obtaining sensor information describing the second blade.

6 . The system of claim 1 , wherein the operation of inspecting each of the blades comprises at least:

navigating the UAV along a first blade for a fixed distance from a first blade proximal end to a first blade distal end, the fixed distance being a value indicating the length of the first blade.

7 . The system of claim 1 , wherein the operation of determining an orientation of blades comprises:

determining an orientation of blades connected to the wind turbine, the orientation specifying an angle of each blade with respect to a reference associated with the wind turbine.

8 . A method implemented by a system of one or more processors, the method comprising:

obtaining first sensor information by an unmanned aerial vehicle (UAV), the first sensor information describing physical aspects of a wind turbine, including one or more blades of the wind turbine;

determining an orientation of the blades of the wind turbine based on the obtained first sensor information;

determining a flight pattern for the UAV to inspect the blades of the wind turbine, wherein the flight pattern is based on the determined orientation of the blades; and

inspecting by the UAV, each of the blades of the wind turbine according to the determined flight pattern, wherein inspecting comprises obtaining second sensor information describing the blades of the wind turbine.

9 . The method of claim 8 , wherein determining an orientation of the blades comprises:

activating a distance sensor that measures distance from the UAV to the wind turbine, and storing measurements obtained from the distance sensor;

generating, from the stored measurements, a point cloud, the point cloud representing the wind turbine; and

determining the orientation of the blades from the generated point cloud.

10 . The method of claim 8 , wherein determining an orientation of the blades comprises:

activating a camera coupled to the UAV, and obtaining at least one image of the wind turbine, including the one or more blades;

determining a pose of the camera for each obtained image based on the physical aspects of the wind turbine, the pose indicating at least a position and an orientation of the camera; and

determining the orientation of the blades based on the determined poses and images of the wind turbine.

11 . The method of claim 8 , wherein determining an orientation of the blades comprises:

obtaining a plurality of images of a rotor hub of the wind turbine and a portion of at least one blade that connects to the rotor hub;

generating a point cloud based on the obtained images; and

determining the orientation of the blades from the generated point cloud.

12 . The method of claim 8 , wherein inspecting each of the blades comprises at least:

navigating the UAV, via autopilot, along a first blade of the wind turbine from a first blade distal end to a first blade proximal end, the first blade proximal end coupled to a center blade hub of the wind turbine;

while navigating the UAV along the first blade periodically obtaining sensor information describing the first blade;

navigating the UAV, via autopilot, along a second blade from a second blade proximal end to a second blade distal end, the second blade proximal end coupled to the center blade hub of the wind turbine; and

while navigating the UAV along the second blade periodically obtaining sensor information describing the second blade.

13 . The method of claim 8 , wherein inspecting each of the blades comprises at least:

navigating the UAV along a first blade for a fixed distance from a first blade proximal end to a first blade distal end, the fixed distance being a value indicating the length of the first blade.

14 . The method of claim 8 , wherein determining an orientation of blades comprises:

determining an orientation of blades connected to the wind turbine, the orientation specifying an angle of each blade with respect to a reference associated with the wind turbine.

15 . Non-transitory computer storage media storing instructions that when executed by a system of one or more processors causes the one or more processors to perform operations comprising:

obtaining first sensor information by an unmanned aerial vehicle (UAV), the first sensor information describing physical aspects of a wind turbine, including one or more blades of the wind turbine;

determining an orientation of the blades of the wind turbine based on the obtained first sensor information;

determining a flight pattern for the UAV to inspect the blades of the wind turbine, wherein the flight pattern is based on the determined orientation of the blades; and

inspecting by the UAV, each of the blades of the wind turbine according to the determined flight pattern, wherein inspecting comprises obtaining second sensor information describing the blades of the wind turbine.

16 . The computer storage media of claim 15 , wherein the operation of determining an orientation of the blades comprises:

activating a distance sensor that measures distance from the UAV to the wind turbine, and storing measurements obtained from the distance sensor;

generating, from the stored measurements, a point cloud, the point cloud representing the wind turbine; and

determining the orientation of the blades from the generated point cloud.

17 . The computer storage media of claim 15 , wherein the operation of determining an orientation of the blades comprises:

activating a camera coupled to the UAV, and obtaining at least one image of the wind turbine, including the one or more blades;

determining a pose of the camera for each obtained image based on the physical aspects of the wind turbine, the pose indicating at least a position and an orientation of the camera; and

determining the orientation of the blades based on the determined poses and images of the wind turbine.

18 . The computer storage media of claim 15 , wherein the operation of determining an orientation of the blades comprises:

obtaining a plurality of images of a rotor hub of the wind turbine and a portion of at least one blade that connects to the rotor hub;

generating a point cloud based on the obtained images; and

determining the orientation of the blades from the generated point cloud.

19 . The computer storage media of claim 15 , wherein the operation of inspecting each of the blades comprises at least:

navigating the UAV, via autopilot, along a first blade of the wind turbine from a first blade distal end to a first blade proximal end, the first blade proximal end coupled to a center blade hub of the wind turbine;

while navigating the UAV along the first blade periodically obtaining sensor information describing the first blade;

navigating the UAV, via autopilot, along a second blade from a second blade proximal end to a second blade distal end, the second blade proximal end coupled to the center blade hub of the wind turbine; and

while navigating the UAV along the second blade periodically obtaining sensor information describing the second blade.

20 . The computer storage media of claim 15 , wherein the operation of inspecting each of the blades comprises at least:

navigating the UAV along a first blade for a fixed distance from a first blade proximal end to a first blade distal end, the fixed distance being a value indicating the length of the first blade.