Control tower and enterprise management platform with a machine learning/artificial intelligence managing sensor and the camera feeds into digital twin
US-2021133670-A1 · May 6, 2021 · US
US11900314B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11900314-B2 |
| Application number | US-202016783363-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 6, 2020 |
| Priority date | Feb 6, 2020 |
| Publication date | Feb 13, 2024 |
| Grant date | Feb 13, 2024 |
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A method, computer system, and a computer program product for mapping is provided. The present invention may include locating an asset using an unmanned vehicle (UV), where the asset include a sensor device that is not mapped to the asset. The present invention may also include recording, using the UV, a sensor identifier of the sensor device. The present invention may include recording a location of the sensor device based on determining a location of the UV when the sensor device is detected. The present invention may further include registering the recorded sensor identifier of the sensor device with the asset to map the sensor device to the asset.
Opening claim text (preview).
What is claimed is: 1. A computer implemented method, comprising: locating an asset using an unmanned vehicle (UV), wherein the located asset includes a sensor device having a specific device location in proximity of the located asset; recording, using the UV, a sensor identifier of the sensor device at a first timestamp; in response to querying a device registry using the recorded sensor identifier, determining that the sensor device is not mapped to the located asset; determining the specific device location of the determined sensor device that is not mapped to the asset based on a location of the UV at the first timestamp; and registering the recorded sensor identifier of the determined sensor device with the located asset to map the determined sensor device to the determined specific device location in proximity of the located asset. 2. The method of claim 1 , further comprising: receiving an asset identifier of the located asset; in response to querying an asset registry using the received asset identifier, determining the located asset; and generating an association between the determined asset and the determined sensor device. 3. The method of claim 1 , further comprising: detecting, using the UV, the determined sensor device included in the located asset based on a Radio Frequency Identification (RFID) tag of the determined sensor device; recording, using the UV, the determined specific device location of the detected sensor device based on determining the location of the UV; determining, based on the recorded specific device location, that the detected sensor device is in proximity of the located asset; and linking the detected sensor device to the located asset in a storage system. 4. The method of claim 1 , further comprising: identifying the located asset in an asset registry; and generating a device pointer in the asset registry to map the identified asset to the determined sensor device. 5. The method of claim 1 , further comprising: recording, using the UV, an image of the determined sensor device included in the located asset; and verifying, using the recorded image of the determined sensor device, a mapping of the determined sensor device to the located asset. 6. The method of claim 1 , further comprising: communicating, using the UV, with a respective RFID tag of a plurality of sensor devices located in proximity of the located asset; recording, using the UV, each sensor identifier embedded in the respective RFID tag of the plurality of sensor devices; identifying, using each recorded sensor identifier, the plurality of sensor devices registered in a device registry; and mapping the identified plurality of sensor devices to the located asset based on location proximity. 7. A computer system for mapping, comprising: one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage media, and program instructions stored on at least one of the one or more computer-readable tangible storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising: locating an asset using an unmanned vehicle (UV), wherein the located asset includes a sensor device having a specific device location in proximity of the located asset; recording, using the UV, a sensor identifier of the sensor device at a first timestamp; in response to querying a device registry using the recorded sensor identifier, determining that the sensor device is not mapped to the located asset; determining the specific device location of the determined sensor device that is not mapped to the asset based on a location of the UV at the first timestamp; and registering the recorded sensor identifier of the determined sensor device with the located asset to map the determined sensor device to the determined specific device location in proximity of the located asset. 8. The computer system of claim 7 , further comprising: receiving an asset identifier of the located asset; in response to querying an asset registry using the received asset identifier, determining the located asset; and generating an association between the determined asset and the determined sensor device. 9. The computer system of claim 7 , further comprising: detecting, using the UV, the determined sensor device included in the located asset based on a Radio Frequency Identification (RFID) tag of the determined sensor device; recording, using the UV, the determined specific device location of the detected sensor device based on determining the location of the UV; determining, based on the recorded specific device location, that the detected sensor device is in proximity of the located asset; and linking the detected sensor device to the located asset in a storage system. 10. The computer system of claim 7 , further comprising: identifying the located asset in an asset registry; and generating a device pointer in the asset registry to map the identified asset to the determined sensor device. 11. The computer system of claim 7 , further comprising: recording, using the UV, an image of the determined sensor device included in the located asset; and verifying, using the recorded image of the determined sensor device, a mapping of the determined sensor device to the located asset. 12. The computer system of claim 7 , further comprising: communicating, using the UV, with a respective RFID tag of a plurality of sensor devices located in proximity of the located asset; recording, using the UV, each sensor identifier embedded in the respective RFID tag of the plurality of sensor devices; identifying, using each recorded sensor identifier, the plurality of sensor devices registered in a device registry; and mapping the identified plurality of sensor devices to the located asset based on location proximity. 13. A computer program product for mapping, the computer program product comprising: one or more computer-readable storage media and program instructions collectively stored on the one or more computer-readable storage media, the program instructions comprising: program instructions to locate an asset using an unmanned vehicle (UV), wherein the located asset includes a sensor device having a specific device location in proximity of the located asset; program instructions to record, using the UV, a sensor identifier of the sensor device at a first timestamp; program instructions to in response to querying a device registry using the recorded sensor identifier, determine that the sensor device is not mapped to the located asset; program instructions to determine the specific device location of the determined sensor device that is not mapped to the asset based on a location of the UV at the first timestamp; and program instructions to register the recorded sensor identifier of the determined sensor device with the located asset to map the determined sensor device to the determined specific device location in proximity of the located asset. 14. The computer program product of claim 13 , further comprising: program instructions to receive an asset identifier of the located asset; program instructions to in response to querying an asset registry using the received asset identifier, determine the located asset; and program instructions to generate an association between the determined asset and the determined sensor device. 15. The computer program product of claim 13 , further comprising: program instructions to detect, using the UV, the deter
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