Cooperative unmanned autonomous aerial vehicles for power grid inspection and management
An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.
1. A method, comprising:
accepting an instruction to deploy a collection of unmanned aerial vehicles (UAVs) to surveil a power grid section;
deploying the UAVs from locations within or proximate to the power grid section, the locations fixing the UAVs in place until after the instruction to deploy is accepted; and
receiving data from one or more sensor packages of the UAVs, the data comprising surveillance data related to the power grid section;
wherein the UAVs coordinate with one another to surveil the power grid section using semi-autonomous or fully autonomous flight.
2. The method of claim 1 , comprising using the data from the one or more sensor packages to provide reactive three-dimensional autonomy for collision avoidance.
3. The method of claim 1 , wherein the receiving comprises collecting image data for use in navigation.
4. The method of claim 3 , wherein the image data comprises computer vision data and thermal data; the method comprising combining the computer vision data and the thermal data to detect a person or vehicle, and choosing a navigation strategy that avoids or minimizes overhead flight with respect to the person or vehicle.
5. The method of claim 1 , wherein the receiving comprises associating light detection and ranging (LIDAR) data, visual image data, and electromagnetic field data to identify objects, and communicating data associated with identified objects to coordinate actions of the UAVs.
6. The method of claim 1 , comprising using a processor configured for integrating and fusing data of the one or more sensor packages, aligning the data of the one or more sensor packages into a layer of mapping, and providing global autonomy in one dimension to one or more of the UAVs.
7. The method of claim 1 , comprising executing a routine triggered in response to an event of a detected failure, wherein the routine executes a controlled landing of one or more of the UAVs with complete power off in order to prevent damage to surroundings.
8. The method of claim 1 , wherein the data from one or more sensor packages comprises global positioning satellite (GPS) information; the method comprising using the GPS information and mapping data to produce path planning for one or more of the UAVs that traverses nodes in a network.
9. The method of claim 1 , wherein the deploying comprises actuating a lock at the locations.
10. The method of claim 9 , comprising providing exchange of power and data signals with an external power or data network and the UAVs via the locations.
11. The method of claim 1 , comprising automatically releasing fire suppression material of one or more of the UAVs, the fire suppression material configured to release and render an onboard component of the one or more of the UAVs inert.
12. The method of claim 11 , wherein the fire suppression material comprises one or more of: aqueous salts designed to disable the onboard component; expanding foam that will encapsulate the onboard component; and chemicals that consume heat and oxygen, preventing thermal runaway events.
13. The method of claim 1 , comprising communicating, via the UAVs, with one or more of a centralized server and peer UAVs, using one or more of a long distance communication system and a local communication system.
14. The method of claim 1 , comprising:
accessing one or more database systems storing tasks defined by end users or standard procedures and a description of available UAVs of the UAVs with capability information; and
communicating the instruction to deploy to the UAVs.
15. The method of claim 14 , wherein the deploying comprises distributing the UAVs depending on the tasks.
16. The method of claim 15 , wherein the capability information comprises a status; and wherein the distributing the UAVs comprises routing, scheduling, and dispersal of the UAVs, taking into account a status of each UAV.
17. The method of claim 15 , wherein each respective status indicates one or more of a battery life and component health data.
18. The method of claim 14 , comprising using differences in the capability information to perform the deploying.
19. The method of claim 1 , wherein to surveil the power grid section using semi-autonomous or fully autonomous flight comprises utilizing one of a plurality of operating modes.
20. The method of claim 19 , wherein:
the operating modes correspond to a state of the power grid section under surveillance; and
wherein the operating modes include a normal operating mode wherein inspections are performed routinely, and an incident response operating mode wherein one or more UAVs are evacuated, and switched to intense local surveillance, or another operating mode.