Drone system for powerline inspection using radio frequency scanning techniques
A system for housing a drone for locating a source in an electrical structure includes a plurality of drones capable of hovering in positions to form a virtual enclosure around an electrical structure and a server communicably coupled to the drones. The virtual enclosure is divided into a plurality of cells. The drone is configured to measure a plurality of time difference of arrival (TDOA) values from signals originating from the source; calculate a plurality of propagation times comprising a propagation time for a calibration signal that travels from a drone to each of the plurality of cells; and send the TDOA values and the propagation times to a server. The server is configured to receive the TDOA values and the propagation times from the plurality of drones; and determine a location of the source based on the plurality of TDOA values and the plurality of propagation times.
1. A system for locating a signal source of an electrical event in an electrical structure comprising:
a plurality of drones capable of hovering in positions to form a virtual enclosure around an electrical structure, wherein the virtual enclosure is divided into a plurality of cells, each drone being configured to:
measure a plurality of time difference of arrival (TDOA) values from signals originating from the source;
calculate a plurality of propagation times comprising a propagation time for a calibration signal that travels from a respective drone to each of the plurality of cells; and
send the plurality of TDOA values and the plurality of propagation times to a server;
the server communicably coupled to the plurality of drones configured to:
receive the plurality of TDOA values and the plurality of propagation times from the plurality of drones; and
determine a location of the source based on the plurality of TDOA values and the plurality of propagation times.
2. The system of claim 1 , wherein the plurality of drones comprises at least four drones.
3. The system of claim 1 , wherein each of the plurality of drones comprises at least one radio frequency (RF) sensor configured to measure signals from power frequencies between about 50 Hz and 3 GHz.
4. The system of claim 1 , wherein the plurality of drones are configured to perform measurements at a safe approach distance from the electrical structure.
5. The system of claim 1 , wherein each of the plurality of drones comprises GPS functionality and the plurality of drones is configured to perform time-synchronized RF measurements using the GPS functionality.
6. The system of claim 1 , wherein each of the plurality of cell is between about 1 m×1 m×1 m and 10 m×10 m×10 m.
7. The system of claim 1 , wherein the determining a location of the source based on the plurality of TDOA values and the plurality of propagation times comprises identifying a cell of the plurality of cells with a highest likelihood of being the source.
8. The system of claim 7 , wherein the identifying a cell of the plurality of cells with a highest likelihood of being the source comprises applying a binary particle swamp optimization method.
9. A method performed by a server for locating a signal source of an electrical event in an electrical structure comprising:
receiving, from a plurality of drones, a plurality of time difference of arrival (TDOA) values from signals originating from the source on an electrical structure, wherein the plurality of drones are hovering in positions to form a virtual enclosure around the electrical structure, the virtual enclosure being divided into a plurality of cells;
receiving, from the plurality of drones, a plurality of propagation times comprising a propagation time for a calibration signal that travels from a respective drone to each of the plurality of cells; and
analyzing the plurality of TDOA values and the plurality of propagation times to determine a location of the source.
10. The method of claim 9 , wherein the determining a location of the source based on the plurality of TDOA values and the plurality of propagation times comprises identifying a cell of the plurality of cells with a highest likelihood of being the source.
11. The method of claim 10 , wherein the identifying a cell of the plurality of cells with a highest likelihood of being the source comprises applying a binary particle swamp optimization method.
12. The method of claim 9 , wherein each of the plurality of cell is between about 1 m×1 m×1 m and 10 m×10 m×10 m.
13. The method of claim 9 , wherein the plurality of drones comprises at least four drones.
14. The method of claim 9 , wherein each of the plurality of drones comprises at least one radio frequency (RF) sensor configured to measure signals from power frequencies between about 50 Hz and 3 GHz.
15. The method of claim 9 , wherein each of the plurality of drones comprises GPS functionality and the plurality of drones is configured to perform time-synchronized RF measurements using the GPS functionality.
16. A method for locating a signal source of an electrical event in an electrical structure comprising:
positioning a plurality of drones in positions to form a virtual enclosure around an electrical structure comprising the source emitting signals;
dividing the virtual enclosure into a plurality of cells;
measuring a plurality of time difference of arrival (TDOA) values from the signals originating from the source;
calculating a plurality of propagation times comprising a propagation time for a calibration signal that travels from a respective drone to each of the plurality of cells; and
sending the plurality of TDOA values and the plurality of propagation times to a server, wherein the server determines a location of the source based on the plurality of TDOA values and the plurality of propagation times.
17. The method of claim 16 , wherein each of the plurality of drones comprises at least one radio frequency (RF) sensor configured to measure signals from power frequencies between about 50 Hz and 3 GHz.
18. The method of claim 16 , wherein each of the plurality of cell is between about 1 m×1 m×1 m and 10 m×10 m×10 m.
19. The method of claim 16 , wherein each of the plurality of drones comprises GPS functionality and the plurality of drones is configured to perform time-synchronized RF measurements using the GPS functionality.
20. The method of claim 16 , wherein the plurality of drones are configured to perform measurements at a safe approach distance from the electrical structure.