Method and device for monitoring wind turbine set

A technology for wind turbines and monitoring devices, which is applied in the monitoring of wind turbines, wind turbines, engines, etc., to achieve the effect of improving accuracy and effectiveness

Active Publication Date: 2016-05-25
BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a wind turbine monitoring method and device, which are used to solve the proble

Method used

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  • Method and device for monitoring wind turbine set
  • Method and device for monitoring wind turbine set
  • Method and device for monitoring wind turbine set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] like figure 1 As shown, it is a schematic flow chart of a wind turbine monitoring method according to Embodiment 1 of the present invention. The wind turbine monitoring method includes the following steps:

[0023] S101. Perform first data collection on actual sensors installed on the wind turbine.

[0024] Specifically, first install vibration, sound, temperature and imaging sensors on the components of the wind turbine, and use these sensors to collect the sensing data of the components. The sensing data collected by all the sensors is sent to the industrial computer through the PLC controller, and further uploaded to the AWS cloud through the industrial computer based on the wireless module, so that the sensing data can be analyzed and processed on the AWS cloud. In this embodiment, the connection between the interface of the cloud platform and the sensor device can solve the problem of multiple transmission lines for multiple types of sensors.

[0025] S102. Input...

Embodiment 2

[0037] like figure 2 As shown in , it is a schematic flowchart of the wind turbine monitoring method according to Embodiment 2 of the present invention. On the basis of the first embodiment above, before the actual sensor and the virtual sensor are mapped, the following steps are also included:

[0038] S201. Analyze the relationship between the components of the wind turbine to obtain transfer functions between the components.

[0039] In order to realize the mapping between the actual sensor and the virtual sensor, it is necessary to analyze the relationship between the components of the wind turbine, and to mine the force and motion between the components based on the physical relationship between the components. The relationship between each part is obtained to obtain the transfer function between each component.

[0040] Specifically, based on the finite element theory, the wind turbine can be divided into several parts such as tower, blade, transmission system, pitch ...

Embodiment 3

[0094] like image 3 As shown in , it is a schematic flow chart of the wind turbine monitoring method according to Embodiment 3 of the present invention. On the basis of the above-mentioned embodiments, after the actual sensor and the virtual sensor are mapped, the following steps are further included:

[0095] S301. Adjust the layout of the sensors on the wind turbine.

[0096] After obtaining a stable machine learning model through data training, the machine learning model can produce a mapping function between actual sensors and virtual sensors, thereby realizing the conversion between virtual and real sensors. In practical applications, sensors are deployed in different positions on wind turbines, which will have different impacts on the monitoring of wind turbines. In order to achieve the best effect of wind turbine status monitoring, testers can constantly adjust the layout of the sensors on the wind turbine to monitor the status of the wind turbine.

[0097] S302. Pe...

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PUM

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Abstract

The invention provides a method and a device for monitoring a wind turbine set. The method comprises the following steps: acquiring first data from practical sensors mounted on the wind turbine set; inputting the first data into a machine learning model; acquiring second data from virtual sensors of the wind turbine set; monitoring the wind turbine set according to the first data and the second data. As mapping between the practical sensors and the virtual sensors can be realized due to the machine learning model, omnidirectional state monitoring of the wind turbine set can be realized via the mounted practical sensors. Therefore, the accuracy and the effectiveness of monitoring can be improved.

Description

technical field [0001] The invention belongs to the technical field of wind power, and in particular relates to a monitoring method and device for a wind power unit. Background technique [0002] Due to the complex structure and huge volume of wind turbines, limited by the conditions and installation costs of wind turbines, generally only a certain number of sensors can be deployed in limited positions of wind turbines, and the health status of wind turbine structures can be monitored through the deployed sensors. . Therefore, the reasonable layout of sensors on wind turbines has become a key issue in the monitoring of the structural health of wind turbines. [0003] However, there may be certain risks in monitoring the health status of wind turbines only through components installed with sensors, and in practical applications, some components that are not easy to install sensors in wind turbines, such as bolts, also have a greater impact on the health of the unit structure...

Claims

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Application Information

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IPC IPC(8): F03D17/00
Inventor 乔志强李康唐新安
Owner BEIJING GOLDWIND SCI & CREATION WINDPOWER EQUIP
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