Flight planning for unmanned aerial tower inspection with long baseline positioning

• US 10,509,417 B2
• Filed: 03/17/2016
• Issued: 12/17/2019
• Est. Priority Date: 03/18/2015
• Status: Active Grant

• Current Assignee: Izak Van Cruyningen
• Original Assignee: Izak Van Cruyningen
• Inventors: van Cruyningen, Izak Jan
• Primary Examiner(s): Do, Truc M
• Application Number:
  US15/558,363
• Publication Number:
  US 20180095478A1
• Time in Patent Office: 1,370 Days
• Field of Search: None
• CPC Class Codes: G01S 17/89 for mapping or imaging
• CPC Class Codes: G01S 19/14 specially adapted for specific applications
• CPC Class Codes: G01S 19/43 using carrier phase measurements, e.g. kinematic positioning; using long or short baseline interferometry
• CPC Class Codes: G05D 1/0094 involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target

Abstract

Inspections of towers with unmanned aerial vehicles is challenging because judging the distance to narrow tower members, phase conductors, or guy wires is very difficult for people. These flights may be automated by first creating a three dimensional model of the tower from a scan; determining a safe standoff distance for the unmanned aerial vehicle; generating flight segments to provide complete inspection coverage of the tower while maintaining the standoff distance; and then safely and accurately flying the segments in most wind conditions by using location correction messages from remote reference stations.

Claims

1. A method to plan a flight to inspect a tower with an un-manned aerial vehicle comprising

defining a reference base station,

receiving location correction messages from a plurality of continuously operating reference stations more than two tower heights away from said tower,

incorporating said correction messages in a location rover mounted on said unmanned aerial vehicle,

scanning said tower in three dimensions to create a three dimensional model of said tower relative to said reference base station,

determining a standoff distance using wind speed and stability of said unmanned aerial vehicle for said flight,

generating a plurality of flight segments from said model maintaining said standoff distance, positioned relative to said reference base station to inspect said tower.

2. The method of claim 1 wherein said scanning comprises

acquiring more than one orientation image of said tower,

creating said three dimensional model of said tower from said orientation images.

3. The method of claim 1 wherein the closest of said continuously operating reference stations to said tower is defined as said reference base station.

4. The method of claim 1 wherein said reference base station is a virtual base station location defined by a network real time kinematic server.

5. A flight planning system for the inspection of a tower using an unmanned aerial vehicle comprising

a location rover mounted on said unmanned aerial vehicle to receive correction messages from a reference base station,

a non-contact three-dimensional scanner to create a three dimensional model of said tower relative to said reference base station,

standoff means to determine a standoff distance using wind speed and stability of said unmanned aerial vehicle for said inspection,

flight segment generation means to generate a plurality of flight segments from said model for said unmanned aerial vehicle relative to said reference base station, each flight segment maintaining said standoff distance from said model.

6. The apparatus of claim 5 further comprising

a camera to acquire orientation images,

a processor and memory to create said three dimensional model from said orientation images.

7. The apparatus of claim 5 wherein said reference base station is the closest continuously operating reference station to said tower.

8. The apparatus of claim 5 wherein said reference base station is a virtual base station location defined by a network real-time kinematic server.

9. A method to inspect a tower with an unmanned aerial vehicle comprising

defining a reference base station,

receiving location correction messages from a plurality of continuously operating reference stations more than two tower heights away from said tower,

incorporating said correction messages in a location rover mounted on said unmanned aerial vehicle,

scanning said tower in three dimensions to create a three dimensional model of said tower relative to said reference base station,

determining a standoff distance using wind speed and stability of said unmanned aerial vehicle for said flight,

generating a plurality of flight segments from said model maintaining said standoff distance, positioned relative to said reference base station to inspect said tower,

communicating said flight segments to said unmanned aerial vehicle,

providing a plurality of inspection sensors on said unmanned aerial vehicle,

locating said unmanned aerial vehicle relative to said reference base station in near real-time, flying said flight segments with said unmanned aerial vehicle while gathering inspection data with said inspection sensors.

10. The method of claim 9 wherein said scanning comprises

acquiring more than one orientation image of said tower,

creating said three dimensional model of said tower from said orientation images.

11. The method of claim 9 wherein the closest of said continuously operating reference stations to said tower is defined as said reference base station.

12. The method of claim 9 wherein said reference base station is a virtual base station location defined by a network real time kinematic server.

13. A tower inspection system comprising

an unmanned aerial vehicle,

a location rover mounted on said unmanned aerial vehicle to receive correction messages from a reference base station,

a non-contact three-dimensional scanner to create a three dimensional model of said tower relative to said reference base station,

standoff means to determine a standoff distance using wind speed and stability of said unmanned aerial vehicle for said inspection,

flight segment generation means to generate a plurality of flight segments from said model for said unmanned aerial vehicle relative to said reference base station, each flight segment maintaining said standoff distance from said model,

inspection sensors mounted on said unmanned aerial vehicle,

locating means to determine location during flight of said unmanned aerial vehicle relative to said reference base station in near real time.

14. The apparatus of claim 13 further comprising

a camera to acquire orientation images,

a processor and memory to create said three dimensional model from said orientation images.

15. The apparatus of claim 13 wherein said reference base station is the closest continuously operating reference station to said tower.

16. The apparatus of claim 13 wherein said reference base station is a virtual base station location defined by a network real-time kinematic server.