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Method, system and equipment for predicting service life of tower drum of wind turbine generator and storage medium

A technology for life prediction and wind turbines, which is applied to mechanical equipment, wind power generation, wind engines, etc., and can solve problems such as inability to accurately and effectively predict and evaluate tower loads and life

Active Publication Date: 2021-05-14
HUANENG CLEAN ENERGY RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the shortcomings in the above-mentioned prior art that the tower load and life cannot be accurately and effectively predicted and evaluated, and to provide a wind turbine tower life prediction method, system, equipment and storage medium

Method used

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  • Method, system and equipment for predicting service life of tower drum of wind turbine generator and storage medium
  • Method, system and equipment for predicting service life of tower drum of wind turbine generator and storage medium
  • Method, system and equipment for predicting service life of tower drum of wind turbine generator and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0098] A wind turbine tower life prediction method, such as figure 1 with Figure 4 As shown, several connectors are installed on the tower body of the wind turbine. Figure 5 As shown, the connecting piece includes an upper flange 11 and a lower flange 12, bolts 13 are arranged on the upper flange 11 and lower flange 12, an upper gasket 14 is arranged between the upper flange 11 and the bolt 13, and the lower flange A lower gasket 15 is provided between 12 and the bolt 13 .

[0099] implementation of methods such as Figure 7 shown, including the following steps:

[0100] S1: measure the displacement data by the displacement sensor 10, and transmit the displacement data to the host computer for processing;

[0101] S2: Calculate the working load on each layer of flange based on the data processed by the host computer;

[0102] S3: Calculate the stress data of each layer of flanges and related welds, and the ring section of the tower shell through the calculation of the w...

Embodiment 2

[0105] Except for the following content, all the other contents are the same as in Example 1.

[0106] The displacement sensor 10 is a split type displacement sensor, and the displacement sensor 10 includes a limit block 2 and a displacement sensor body, and the limit block 2 and the displacement sensor body are respectively fixed on two interconnected connectors. The displacement sensor 10 is evenly installed on the inner or outer circumference of the flange connection, and the spacer 2 and the sensor body separated from each other in the displacement sensor 10 are respectively fixed on the two interconnected flanges.

Embodiment 3

[0108] A wind turbine tower life prediction method, such as figure 2 with image 3 shown, including the following steps:

[0109] S1. Evenly install the high-precision displacement sensor 10 on the inner or outer circumference of the flange connection, and fix the spacer 2 and the sensor body separated from each other in the high-precision displacement sensor 10 to the two interconnected flanges respectively. Lan Shang;

[0110] S2. When the tower is subjected to an external load, the axial relative displacement of the upper flange 11 and the lower flange 12 changes, and occurs between the limit block 2 installed on a pair of flanges and the sensor body (housing 1). Relative displacement, the magnet 6 on the high-precision displacement sensor 10 slides on the surface of the electromagnetic induction chip, the magnetic field around the high-precision electromagnetic induction chip changes linearly, the high-precision electromagnetic induction chip captures the change of the ...

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Abstract

The invention discloses a method, a system and equipment for predicting service life of a tower drum of a wind turbine generator and a storage medium, and belongs to the technical field of wind turbine generator monitoring. The axial relative displacement of flanges is monitored through a displacement sensor, analysis, counting and early warning are conducted on the stress and consumed fatigue life values of main components of the tower drum, when the consumed fatigue life values of the main components of the tower drum reach a set threshold value, alarm information is sent out, and a monitoring basis is provided for implementing a safety control strategy of the tower drum. Full-automatic processing can be achieved, the calculation efficiency is high, the fatigue life of each main component of the tower drum can be monitored online in real time, when the consumed fatigue life value of each main component of the tower drum reaches the set threshold value, the alarm information is sent out, the monitoring basis is provided for implementing the safety control strategy of the tower drum, and equipment damage caused by overlarge fatigue damage of the tower drum is avoided.

Description

technical field [0001] The invention belongs to the technical field of wind turbine monitoring, and relates to a wind turbine tower life prediction method, system, equipment and storage medium. Background technique [0002] Wind turbines are power generation equipment that require long-term operation. The explosive growth of wind power generation in recent years has brought huge challenges to the long-term safe and stable operation of wind turbines. The wind turbine is a device that drives the wind motor to rotate by the impeller against the wind, and converts wind energy into mechanical energy and then into electrical energy. It consists of an impeller, a nacelle, a tower and a foundation. Support and maintain the nacelle and impeller rotation. The tower should bear the overall load of the wind turbine and transfer the load to the foundation of the wind turbine. Under the influence of load impact, the state of the tower will decline, that is, the parameters of the tower d...

Claims

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Application Information

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IPC IPC(8): F03D13/20F03D17/00G06F30/20G06F113/06G06F119/04G06F119/14
CPCF03D13/20F03D17/00G06F30/20G06F2113/06G06F2119/04G06F2119/14Y02E10/728
Inventor 蔡安民杨博宇焦冲张林伟蔺雪峰许扬
Owner HUANENG CLEAN ENERGY RES INST
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