System and method for automatically updating wind turbine data based on component self-identification

US10352299B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10352299-B2
Application numberUS-201615229255-A
CountryUS
Kind codeB2
Filing dateAug 5, 2016
Priority dateAug 5, 2016
Publication dateJul 16, 2019
Grant dateJul 16, 2019

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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.

A method for automatically updating data associated with a wind turbine based on component self-identification may generally include providing instructions for transmitting a polling signal to an identification sensor associated with a wind turbine component and, in response to the transmission of the polling signal, receiving current configuration data for the wind turbine component from the identification sensor. The method may also include comparing the current configuration data received from the identification sensor to last-known configuration data for the wind turbine component and automatically updating one or more parameter settings associated with operating the wind turbine based on any differences identified between the current configuration data and the last-known configuration data.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for automatically updating data associated with a wind turbine based on component self-identification, the method comprising: providing, by one or more computing devices, instructions for transmitting a polling signal to an identification sensor associated with a wind turbine component; in response to the transmission of the polling signal, receiving, by the one or more computing devices, current configuration data for the wind turbine component from the identification sensor; comparing, by the one or more computing device, the current configuration data received from the identification sensor to last-known configuration data for the wind turbine component; automatically updating, by the one or more computing devices, one or more parameter settings associated with operating the wind turbine based on any differences identified between the current configuration data and the last-known configuration data; and controlling, with the one or more computing devices, an operation of the wind turbine based on the one or more parameter settings associated with operating the wind turbine that have been updated. 2. The method of claim 1 , wherein the configuration data includes at least one of a model number, a serial number, a manufacturer's name, a date of manufacture, or a location of manufacture for the wind turbine component. 3. The method of claim 1 , further comprising determining, by the one or more computing devices, that the wind turbine component has been replaced based on the identified differences between the current configuration data and the last-known configuration data. 4. The method of claim 1 , wherein automatically updating one or more parameter settings associated with operating the wind turbine comprises automatically updating at least one parameter setting associated with a configuration-dependent parameter of the wind turbine. 5. The method of claim 1 , wherein automatically updating one or more parameter settings associated with operating the wind turbine comprises: determining, by the one or more computing devices, at least one new parameter setting for the wind turbine corresponding to the current configuration data for the wind turbine component; and automatically updating, by the one or more computing devices, the one or more parameter settings to correspond to the at least one new parameter setting. 6. The method of claim 1 , further comprising transmitting, by the one or more computing devices, a notification associated with the current configuration data for the wind turbine component to a remote computing device. 7. The method of claim 6 , wherein automatically updating one or more parameter settings associated with operating the wind turbine comprises automatically updating the one or more parameter settings based on a suggested parameter setting received from the remote computing device. 8. The method of claim 1 , further comprising automatically updating an estimated component life for the wind turbine component based on the identified differences between the current configuration data and the last-known configuration data. 9. The method of claim 1 , further comprising automatically updating a maintenance schedule associated with the wind turbine component based on the identified differences between the current configuration data and the last-known configuration data. 10. The method of claim 1 , wherein the wind turbine component corresponds to one of a generator, a gearbox, a rotor blade, a, yaw drive component, a pitch drive component, a wind sensor, a rotor shaft, or a bearing of the wind turbine. 11. The method of claim 1 , further comprising: providing, by the one or more computing devices, instructions for transmitting a polling signal to a plurality of identification sensors, each identification sensor being associated with one of a plurality of wind turbine components; in response to the transmission of the polling signal, receiving, by the one or more computing devices, current configuration data from only a portion of the plurality of identification sensors; and identifying, by the one or more computing devices, which of the plurality of identification sensors did not transmit current configuration data in response to the polling signal. 12. A method for automatically updating data associated with a wind turbine based on component self-identification, the method comprising: providing, by one or more computing devices, instructions for transmitting a polling signal to an identification sensor associated with a wind turbine component; in response to the transmission of the polling signal, receiving, by the one or more computing devices, current configuration data for the wind turbine component from the identification sensor; comparing, by the one or more computing device, the current configuration data received from the identification sensor to last-known configuration data for the wind turbine component; determining, by the one or more computing devices, that the wind turbine component has been replaced based on any differences identified between the current configuration data and the last-known configuration data; automatically updating, by the one or more computing devices, wind turbine data associated with the wind turbine based on the determination that the wind turbine component has been replaced; and controlling, with the one or more computing devices, an operation of the wind turbine based on one or more parameter settings associated with operating the wind turbine. 13. A system for automatically updating data associated with a wind turbine based on component self-identification, the system comprising: a wind turbine component installed on or within the wind turbine; an identification sensor provided in association with the wind turbine component, the identification sensor including current configuration data for the wind turbine component; one or more computing devices including at least one processor and associated memory, the memory storing instructions that, when implemented by the at least one processor, configure the one or more computing devices to: provide instructions for transmitting a polling signal to an identification sensor associated with a wind turbine component in response to the transmission of the polling signal, receive current configuration data for the wind turbine component from the identification sensor; compare the current configuration data received from the identification sensor to last-known configuration data for the wind turbine component; automatically update one or more parameter settings associated with operating the wind turbine based on any differences identified between the current configuration data and the last-known configuration data; and control an operation of the wind turbine based on the one or more parameter settings associated with operating the wind turbine that have been updated. 14. The system of claim 13 , wherein the configuration data includes at least one of a model number, a serial number, a manufacturer's name, a date of manufacture, or a location of manufacture for the wind turbine component. 15. The system of claim 13 , wherein the one or more computing devices are further configured to determine that the wind turbine component has been replaced based on the identified differences between the current configuration data and the last-known configuration data. 16. The system of claim 13 , wherein the one or more computing devices are configured to update at least one parameter setting associated with a configuration-dependent parameter of the wind turb

Assignees

Inventors

Classifications

  • F03D7/042Primary

    by means of an electrical or electronic controller · CPC title

  • Wind turbines with rotation axis in wind direction · CPC title

  • Maintenance or repair · CPC title

  • electric · CPC title

  • of the multibladed, low speed, e.g. "American farm" type · CPC title

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What does patent US10352299B2 cover?
A method for automatically updating data associated with a wind turbine based on component self-identification may generally include providing instructions for transmitting a polling signal to an identification sensor associated with a wind turbine component and, in response to the transmission of the polling signal, receiving current configuration data for the wind turbine component from the i…
Who is the assignee on this patent?
Gen Electric
What technology area does this patent fall under?
Primary CPC classification F03D7/042. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Jul 16 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). 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).