SYSTEM AND METHOD FOR LOCATING IMPACTS ON AN EXTERNAL SURFACE

• US 20160378895A1
• Filed: 06/27/2016
• Published: 12/29/2016
• Est. Priority Date: 06/29/2015
• Status: Active Grant

• Current Assignee: Airbus Operations SAS (Airbus SE)
• Original Assignee: Airbus Operations SAS (Airbus SE)
• Inventors: Gnecco, Ronie, Martinez, David, Gattone, Denis, Guittard, Jean-Louis
• Granted Patent: US 9,830,411 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B64F 5/60 Testing or inspecting aircraft components or systems
• CPC Class Codes: B64U 10/13 Flying platforms
• CPC Class Codes: B64U 2101/26 for manufacturing, inspections or repairs
• CPC Class Codes: B64U 2101/30 for imaging, photography or videography
• CPC Class Codes: G01S 13/08 Systems for measuring distance only indirect measurement G01S13/46
• CPC Class Codes: G01S 15/08 Systems for measuring distance only indirect measurement G01S15/46
• CPC Class Codes: G01S 17/08 for measuring distance only indirect measurement G01S17/46; active triangulation systems G01S17/48
• CPC Class Codes: G01S 19/42 Determining position
• CPC Class Codes: G01S 19/53 Determining attitude
• CPC Class Codes: G05D 1/0011 associated with a remote control arrangement
• CPC Class Codes: G05D 1/042 specially adapted for aircraft
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06T 2207/30156 Vehicle coating
• CPC Class Codes: G06T 7/0004 Industrial image inspection
• CPC Class Codes: H04N 23/00 Cameras or camera modules comprising electronic image sensors; Control thereof

Abstract

A method for locating external surface impacts on a body. The steps are: modeling the body in a control unit first database to obtain a virtual body model in a virtual system of reference axes; modeling, in a second database, a plurality of clouds of points in the virtual system, each cloud defining an inspection zone representing an external surface portion; selecting an inspection zone; transfering the coordinates of each point of the first and second databases to a geographic system of reference axes; determining geographic coordinates of an initial position of a range finder equipped flying drone communicating with the processing unit; calculating a drone flight plan to scan the selected inspection zone; creating a 3D meshing of the scanned inspection zone; detecting the impacts by comparing the 3D meshing and the virtual aircraft model and calculating the coordinates of each impact in the geographic and virtual systems.

Claims

1. A method for locating impacts on an external surface of a body comprising the following steps:

a) modeling the body in a first database of a control unit to obtain a virtual model of said body in a virtual system of reference axes;

b) modeling, in a second database of the control unit, of a plurality of clouds of points in the virtual system of reference axes, each cloud of points, called an inspection zone, representing a portion of the external surface of the body;

c) selecting an inspection zone via a man-machine interface of the control unit;

d) transfering, by a central processing unit of the control unit, the coordinates of each point of the first and second databases from the virtual system of reference axes to a geographic system of reference axes;

e) determining the coordinates, in the geographic system of reference axes, the initial position of a flying drone in communication with the central processing unit, the drone being equipped with a range finder;

f) calculating, by the central processing unit, a flight plan of the drone such that it scans, via the range finder, the selected inspection zone;

g) creating, by the central processing unit, a 3D meshing of the selected inspection zone scanned by the range finder;

h) detecting by the central processing unit the impacts, by a comparison between the 3D meshing and the virtual model of said aircraft and calculating, by the central processing unit, the coordinates of each impact in the geographic system of reference axes and the virtual system of reference axes.

2. The method as claimed in claim 1, wherein the body comprises an internal structure formed from a plurality of structural elements and the method comprises, following the step h) of detecting impacts and calculating the coordinates of each impact, an additional step i) of determining, on the virtual model, the structural elements closest to each impact.

3. The method as claimed in claim 1, further comprising, after the step h) of detecting the impacts and calculating the coordinates of each impact, an additional step j) of recording, in a shared database, the coordinates of each impact in the virtual system of reference axes.

4. The method as claimed in claim 1, wherein the transfer step d) comprises a step d1) of determining (E2a), by the central processing unit, the position of the body in the geographic system of reference axes.

5. The method as claimed in claim 1, wherein the transfer step d) comprises a step d2) of determining, by the central processing unit, the orientation of the body in the geographic system of reference axes.

6. The method as claimed in claim 4, wherein the step d1) of determining the position of the body comprises:

d1a) determining the coordinates of the control unit, in the geographic system of reference axes, via satellite positioning means of the control unit;

d1b) determining, by the operator, an identifier of the body;

d1c) interrogating, via the man-machine interface, an external network, with the identifier of the body, to receive the coordinates of the body in the geographic system of reference axes.

7. The method as claimed in claim 5, wherein the step d2) of determining of the orientation of the body comprises:

d2a) taking by the operator, via a camera of the control unit, an image of the body upon which a first and a second element of the body which are symmetrical with respect to a sagittal plane of said body are present;

d2b) pointing, at the level of a display device of the control unit, via the man-machine interface, to the first element with a first cursor and to the second element with a second cursor;

d2c) calculating, by the central processing unit, the distance between the first cursor and the second cursor on the image;

d2d) comparing, by the central processing unit, the calculated distance and the distance between the first and second elements entered in the first database;

d2e) calculating, by the central processing unit, the angle between the longitudinal axis of the body and the ground control unit.

8. The method for locating impacts as claimed in claim 1, wherein the step h) of detecting impacts and calculating the coordinates of each impact comprises:

h1) the comparison between the 3D meshing and the virtual model of the aircraft so as to determine differences between said meshing and the virtual model of the aircraft;

h2) comparing each difference with a predetermined difference value.

9. The method for locating impacts as claimed in claim 1, wherein the body is an aircraft.

10. A system for locating impacts on an external surface of a body for using the method as claimed in claim 1, wherein the device comprises:

a flying drone equipped with a range finder and with at least one position sensor; and

a control unit in communication with the drone and an external network, the control unit comprising a central processing unit, a first database comprising data obtained by assisted three-dimensional modeling of the body, and a second database comprising the coordinates of a plurality of clouds of points, called inspection zones, where each inspection zone represents a portion of the external surface of the body;

the control unit furthermore comprising a man-machine interface, a display device, a camera and satellite positioning means.

11. The system for locating impacts as claimed in claim 10, wherein the range finder is chosen from among the following range finders:

acoustic range finder, radar range finder optical range finder.

12. The system for locating impacts as claimed in claim 10, wherein the drone comprises an accelerometer.