Determining elevator car location using vibrations
US-2020062542-A1 · Feb 27, 2020 · US
US11613445B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11613445-B2 |
| Application number | US-201816210147-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 5, 2018 |
| Priority date | Dec 5, 2018 |
| Publication date | Mar 28, 2023 |
| Grant date | Mar 28, 2023 |
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According to an aspect, a method includes monitoring a plurality of vibration data by a vibration monitoring beacon and determining that the vibration monitoring beacon has been installed at a service location based on detecting an installation characteristic signature in the vibration data. The vibration monitoring beacon can transition into a learning mode based on determining that the vibration monitoring beacon has been installed at the service location. The method can also include monitoring for a learning mode termination event and transitioning the vibration monitoring beacon from the learning mode to a normal operation mode based on detecting the learning mode termination event.
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What is claimed is: 1. A method comprising: monitoring a plurality of vibration data by a vibration monitoring beacon; and determining that the vibration monitoring beacon has been installed at a service location based on detecting an installation characteristic signature in the vibration data, wherein the service location comprises an elevator car door. 2. The method of claim 1 , further comprising: transitioning the vibration monitoring beacon into a learning mode based on determining that the vibration monitoring beacon has been installed at the service location; and monitoring for a learning mode termination event. 3. The method of claim 2 , further comprising: transitioning the vibration monitoring beacon from the learning mode to a normal operation mode based on detecting the learning mode termination event. 4. The method of claim 3 , wherein the installation characteristic signature comprises one or more spikes greater than a threshold level followed by a normal operating signature in the vibration data. 5. The method of claim 4 , wherein the normal operating signature comprises an elevated velocity in an expected direction of travel and within an expected range of variation. 6. The method of claim 3 , wherein the learning mode termination event comprises one or more of detecting completion of a range of travel and a timeout period. 7. The method of claim 3 , further comprising: comparing the vibration data in the normal operation mode to one or more characteristic signatures associated with one or more locations based on one or more of: a time domain analysis, a frequency domain analysis, and a sequence analysis; and reverting to the learning mode based on determining that the vibration monitoring beacon is in an unknown state responsive to the comparing. 8. The method of claim 3 , wherein the learning mode comprises a higher sampling frequency than the normal operation mode, and an output heartbeat rate of the vibration monitoring beacon differs between the learning mode and the normal operation mode. 9. The method of claim 1 , further comprising: outputting a vibration signature based on the vibration data to one or more of: a service system and an analysis system, wherein the vibration monitoring beacon is configured to establish a one-way communication transmission to one or more of: the service system and the analysis system absent a communication reception capability at the vibration monitoring beacon. 10. A system comprising: one or more vibration sensors; and a vibration monitoring beacon operably coupled to the one or more vibration sensors, the vibration monitoring beacon comprising a processing system configured to perform: monitoring a plurality of vibration data; and determining that the vibration monitoring beacon has been installed at a service location based on detecting an installation characteristic signature in the vibration data, wherein the service location comprises an elevator car door. 11. The system of claim 10 , wherein the processing system is configured to perform: transitioning the vibration monitoring beacon into a learning mode based on determining that the vibration monitoring beacon has been installed at the service location; and monitoring for a learning mode termination event. 12. The system of claim 11 , wherein the processing system is configured to perform: transitioning the vibration monitoring beacon from the learning mode to a normal operation mode based on detecting the learning mode termination event. 13. The system of claim 12 , wherein the installation characteristic signature comprises one or more spikes greater than a threshold level followed by a normal operating signature in the vibration data. 14. The system of claim 13 , wherein the normal operating signature comprises an elevated velocity in an expected direction of travel and within an expected range of variation. 15. The system of claim 12 , wherein the learning mode termination event comprises one or more of detecting completion of a range of travel and a timeout period. 16. The system of claim 12 , wherein the processing system is configured to perform: comparing the vibration data in the normal operation mode to one or more characteristic signatures associated with one or more locations based on one or more of: a time domain analysis, a frequency domain analysis, and a sequence analysis; and reverting to the learning mode based on determining that the vibration monitoring beacon is in an unknown state responsive to the comparing. 17. The system of claim 12 , wherein the learning mode comprises a higher sampling frequency than the normal operation mode, and an output heartbeat rate of the vibration monitoring beacon differs between the learning mode and the normal operation mode. 18. The system of claim 10 , wherein the processing system is configured to perform: outputting a vibration signature based on the vibration data to one or more of: a service system and an analysis system, wherein the vibration monitoring beacon is configured to establish a one-way communication transmission to one or more of: the service system and the analysis system absent a communication reception capability at the vibration monitoring beacon. 19. A method for vibration data monitoring in a conveyance system comprising: monitoring a plurality of vibration data by a vibration monitoring beacon; and determining that the vibration monitoring beacon has been installed at a service location based on detecting an installation characteristic signature in the vibration data, wherein the installation characteristic signature is characterized by one or more spikes greater than a threshold level in the vibration data. 20. The method of claim 19 , further comprising: outputting a vibration signature based on the vibration data to one or more of: a service system and an analysis system, wherein the vibration monitoring beacon is configured to establish a one-way communication transmission to one or more of: the service system and the analysis system absent a communication reception capability at the vibration monitoring beacon.
Performance analysers · CPC title
Devices monitoring the operating condition of the elevator system · CPC title
for safety reasons · CPC title
for maintenance or repair · CPC title
Door or gate operation (of general application E05F) · CPC title
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