Disaster Damage Analysis and Loss Mitigation Implementing Unmanned Aerial Vehicles (UAVs)

US2024354863A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2024354863-A1
Application numberUS-202418756780-A
CountryUS
Kind codeA1
Filing dateJun 27, 2024
Priority dateSep 22, 2014
Publication dateOct 24, 2024
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that the damage to property caused by a catastrophe (or potential catastrophe) may be eliminated or mitigated. A UAV may receive a flight path based on an energy consumption related condition and operate based on the flight path. Operating based on the flight path includes docking the UAV with a power supply device for charging a power source of the UAV.

First claim

Opening claim text (preview).

What is claimed is: 1 . An unmanned aerial vehicle (UAV) configured to provide a natural disaster response recommendation comprising: a display; a speaker; a processor; and a non-transitory computer-readable memory coupled with the processor, the non-transitory computer-readable memory storing executable instructions that when executed by the processor cause the processor to: receive a flight path to a destination location, wherein the flight path is based upon a geographic location of the UAV and a battery charge level of a battery associated with the UAV; operate based on the flight path; and upon arriving at the destination location, provide, via the speaker and/or the display, a recommendation to one or more people at the destination location on how to respond to a natural disaster at the destination location. 2 . The UAV of claim 1 , wherein to operate based on the flight path, the instructions cause the processor to: dock the UAV with a power supply device for charging the battery associated with the UAV. 3 . The UAV of claim 2 , wherein to dock the UAV, the instructions cause the processor to: land the UAV on a power line; and charge the battery associated with the UAV using the power line. 4 . The UAV of claim 2 , wherein the instructions further cause the processor to: receive a command to follow the flight path to a location of the power supply device and to charge the battery utilizing the power supply device at the power supply device location. 5 . The UAV of claim 1 , wherein the instructions further cause the processor to: transmit data indicative of the battery charge level of the battery associated with the UAV to a server device; and receive the flight path from the server device in response to the data indicative of the battery charge level. 6 . The UAV of claim 2 , wherein the instructions further cause the processor to: couple the UAV to the power supply device via a tether. 7 . A computer-implemented method for providing a natural disaster response recommendation via an unmanned aerial vehicle (UAV), the method comprising: receiving, by one or more processors, a flight path to a destination location based upon a geographic location of the UAV and a battery charge level of a battery associated with the UAV; operating, by the one or more processors, based on the flight path; and upon arriving at the destination location, providing, by the one or more processors via a speaker and/or display in the UAV, a recommendation to one or more people at the destination location on how to respond to a natural disaster at the destination location. 8 . The computer-implemented method of claim 7 , wherein operating based on the flight path includes docking the UAV with a power supply device for charging the battery associated with the UAV. 9 . The computer-implemented method of claim 7 , wherein docking the UAV with the power supply device includes: landing the UAV on a power line; and charging the battery associated with the UAV using the power line. 10 . The computer-implemented method of claim 8 , further comprising: receiving, by the one or more processors, a command to follow the flight path to a location of the power supply device and to charge the battery utilizing the power supply device at the power supply device location. 11 . The computer-implemented method of claim 7 , further comprising: transmitting, by the one or more processors, data indicative of the battery charge level of the battery associated with the UAV to a server device; and receiving, by the one or more processors, the flight path from the server device in response to the data indicative of the battery charge level. 12 . The computer-implemented method of claim 8 , further comprising: coupling, by the one or more processors, the UAV to the power supply device via a tether. 13 . A non-transitory computer-readable memory storing executable instructions for providing a natural disaster response recommendation that, when executed by one or more processors, cause the one or more processors to: receive a flight path for an unmanned aerial vehicle (UAV) to a destination location based upon a geographic location of the UAV and a battery charge level of a battery associated with the UAV; operate based on the flight path; and upon arriving at the destination location, provide, via a speaker and/or display in the UAV, a recommendation to one or more people at the destination location on how to respond to a natural disaster at the destination location. 14 . The non-transitory computer-readable memory of claim 13 , wherein to operate based on the flight path, the instructions cause the one or more processors to: dock the UAV with a power supply device for charging the battery associated with the UAV. 15 . The non-transitory computer-readable memory of claim 14 , wherein to dock the UAV, the instructions cause the one or more processors to: land the UAV on a power line; and charge the battery associated with the UAV using the power line. 16 . The non-transitory computer-readable memory of claim 14 , wherein the instructions further cause the one or more processors to: receive a command to follow the flight path to a location of the power supply device and to charge the battery utilizing the power supply device at the power supply device location. 17 . The non-transitory computer-readable memory of claim 13 , wherein the instructions further cause the one or more processors to: transmit data indicative of the battery charge level of the battery associated with the UAV to a server device; and receive the flight path from the server device in response to the data indicative of the battery charge level. 18 . The non-transitory computer-readable memory of claim 14 , wherein the instructions further cause the one or more processors to: couple the UAV to the power supply device via a tether.

Assignees

Inventors

Classifications

  • Using real world measurements to influence rendering · CPC title

  • Surveillance · CPC title

  • Satellite or aerial image; Remote sensing · CPC title

  • Geographic models · CPC title

  • Creating or editing images; Combining images with text · CPC title

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What does patent US2024354863A1 cover?
Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that…
Who is the assignee on this patent?
State Farm Mutual Automobile Insurance Co
What technology area does this patent fall under?
Primary CPC classification G06Q40/08. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Oct 24 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).