TWI647575B - Fatigue deterioration diagnosis method of windmill and windmill, operation control method of windmill - Google Patents

Abstract

A windmill according to the present invention is characterized in that it is driven by wind and generates electric power. The windmill includes a strain measuring device that measures a strain generated at the windmill, and calculates a first stress value of the windmill based on the measured strain. The second stress value of the wind turbine is calculated based on the wind condition information of the windmill, and the first stress value and the second stress value are compared, and the fatigue deterioration state of the wind turbine is calculated based on the comparison result. Therefore, the fatigue deterioration state of the windmill can be accurately estimated.

Description

Fatigue deterioration diagnosis method of windmill and windmill, operation control method of windmill

The invention relates to a windmill which is operated by wind and generates electricity, in particular to a structural strength diagnosis of a windmill.

As a background art in the technical field, for example, there is a technique like Patent Document 1. Patent Document 1 discloses an operation control device for a windmill, a method therefor, and a program, wherein the operation control device for the wind turbine includes an operation control mechanism that corresponds to a cumulative operation time of the windmill and a fatigue deterioration degree of the wind turbine. The operation of the windmill is controlled by establishing a relationship between the fatigue deterioration time course and the current fatigue deterioration degree.

Further, Patent Document 2 discloses a stress analysis device, a stress analysis program, and a wind power generation system of a wind turbine structure, wherein the stress analysis device of the wind turbine structure includes a load data creation mechanism based on an operating environment The relevant parameters are the load timing data set at the specific load observation portion of the windmill structure; and the stress analysis mechanism is configured to generate the stress set in at least one analysis target portion of the windmill structure based on the load timing data. Timing data.

[Advanced technical literature] [Patent Literature]

[Patent Document 1] Japanese Patent No. 4241644

[Patent Document 2] Japanese Patent Laid-Open Publication No. 2010-79685

Regarding the structural strength of the machine, the design test data is far from the actual measured data at the customer site, and there is a situation in which the imaginary damage occurs earlier. For example, in the windmill used for wind power generation, it is conceivable that the wind condition represented by the wind speed and the wind direction is largely different from the actual wind condition at the time of design.

In the load design of the windmill, in addition to the design that can withstand the temporary maximum load of the typhoon, it is necessary to be able to withstand the fatigue design of the load fluctuation of the blade or the tower during normal operation. In general, the load variation varies depending on the magnitude of the wind fluctuation. As a main parameter indicating the magnitude of the change in wind, there is a parameter called a disturbance intensity of the wind speed. This turbulence intensity varies greatly depending on the weather conditions and terrain conditions of the construction site of the wind power generator. However, in the cause of the fatigue deterioration of the wind turbine generator, there are various factors in addition to the wind speed turbulence intensity, and there is a problem that the accuracy of the fatigue deterioration estimation is low depending on the turbulence intensity of the wind speed alone.

Here, in Patent Document 1, the operation of the windmill is cumulative. The operation of the windmill can be controlled by the relationship between the fatigue deterioration time history and the current fatigue deterioration degree in which the time is related to the fatigue deterioration degree of the wind turbine.

However, the increase in the stress value due to the fatigue deterioration of the windmill depends on the operating state of the wind turbine (operation time, wind conditions, installation location, etc.), so it is difficult to estimate the optimum fatigue degradation for each wind turbine in advance, and prepare High-precision fatigue degradation time course.

Further, Patent Document 2 includes a load data creation mechanism that creates load timing data set at a specific load observation portion of the wind turbine structure, and a stress analysis mechanism that is set to the windmill structure based on the load timing data. Stress time series data of at least one analysis target part of the body. The operation can be controlled by comparing the maximum load of the stress time series data with a preset threshold value.

However, in this method, as in Patent Document 1, it is necessary to set the threshold of the maximum load in advance, and it is difficult to set the optimum threshold for each windmill, so that the possibility of excessively controlling the operation and suppressing the amount of power generation is possible. Sex.

Therefore, an object of the present invention is to provide a fatigue deterioration state of a windmill based on a comparison between a measured strain value of a windmill and a normal stress value in a state in which the windmill is not fatigue-deteriorated, and can accurately estimate each Windmill where the fatigue of the windmill deteriorates.

Further, another object of the present invention is to provide a method for estimating the fatigue deterioration of a windmill by comparing the measured strain value of the windmill with the normal stress value in a state in which the windmill is not fatigue-degraded, and the accuracy is good. A fatigue deterioration diagnosis method for a windmill that estimates the fatigue deterioration state of each windmill.

Further, another object of the present invention is to provide a wind turbine that predicts a fatigue deterioration state based on a comparison between a measured strain value of a windmill and a normal stress value in a state in which the windmill is fatigue-free, and controls the windmill based on the estimated fatigue deterioration state. The operation control method of the running windmill.

In order to solve the above problems, a wind turbine according to the present invention is characterized in that it is driven by wind and generates electric power. The windmill includes a strain measuring device that measures a strain generated at the windmill, and calculates the windmill based on the strain of the measurement. The first stress value is calculated based on the wind condition information of the windmill, and the second stress value of the wind turbine is calculated, and the first stress value and the second stress value are compared, and the fatigue deterioration state of the wind turbine is calculated based on the comparison result.

Further, the method for diagnosing fatigue deterioration of a wind turbine according to the present invention is characterized in that it is a fatigue deterioration diagnosis method of a wind turbine that is operated by wind and generates a first stress of the windmill based on a strain measured by a strain measuring mechanism. And calculating a second stress value of the windmill based on the wind condition information of the windmill, comparing the first stress value and the second stress value, and diagnosing based on a comparison result between the first stress value and the second stress value The fatigue deterioration of the windmill.

Moreover, the operation control method of the windmill according to the present invention is characterized in that it is an operation control method of a wind turbine that is operated by wind and is operated by electricity. And calculating a first stress value of the windmill based on the strain measured by the strain measuring mechanism, calculating a second stress value of the windmill based on the wind condition information of the windmill, and comparing the first stress value with the second stress value The fatigue deterioration state of the wind turbine is diagnosed based on the comparison result between the first stress value and the second stress value, and the operation of the wind turbine is controlled based on the fatigue deterioration state.

According to the present invention, it is possible to accurately estimate the fatigue deterioration state of each wind turbine by estimating the fatigue deterioration state of the windmill based on the comparison between the measured strain value of the windmill and the normal stress value in the state in which the wind turbine is not fatigue-deteriorated. Windmill.

Moreover, according to the present invention, it is possible to estimate the fatigue deterioration state of the windmill based on the comparison between the measured strain value of the windmill and the normal stress value in the state in which the wind turbine is not fatigue-deteriorated, and it is possible to accurately estimate each windmill. The fatigue deterioration diagnosis method of the windmill of the fatigue deterioration state.

Moreover, according to the present invention, it is possible to estimate the fatigue deterioration state of the windmill based on the comparison between the measured strain value of the windmill and the normal stress value in the state in which the wind turbine is fatigue-free, and control based on the estimated fatigue deterioration state. The operation control method of the windmill running windmill.

The problems, configurations, and effects other than the above can be understood from the following description of the embodiments.

10‧‧‧Variable measuring device

20‧‧‧Wind anemometer

30‧‧‧Measured stress calculator

40‧‧‧Normal stress calculator

50‧‧‧Fatigue Degradation Comparator (Fatigue Acceleration Rate Calculator)

60‧‧‧Fatigue Degradation Calculator

70‧‧‧SCADA

80‧‧‧Operation controller

100‧‧‧ windmill

200‧‧‧Wind with fatigue deterioration diagnostic device

300‧‧‧Fatigue deterioration diagnostic device

400‧‧‧Windmills with strain gauges

500‧‧‧ Windmill Watch Tower

1000‧‧‧Windmill with strain gauge and fatigue deterioration diagnostic device

2000‧‧‧Wind running control device

D10‧‧‧ strain value

D20‧‧‧ measured stress value

D30‧‧‧ Wind direction value and wind speed value

D40‧‧‧ normal stress value

D50‧‧‧Fatigue acceleration factor

E10‧‧‧Tower

E20‧‧‧ leaves

F1‧‧‧Variable test steps

F2‧‧‧Measured stress calculation steps

F3‧‧‧Wind and wind speed measurement steps

F4‧‧‧ normal stress calculation steps

F5‧‧‧Fatigue acceleration coefficient calculation steps

F6‧‧‧Fatigue Degradation Calculation Procedure

S10‧‧‧Fatigue deterioration

S20‧‧‧Operation control signal

Fig. 1 is a block diagram showing an outline of a fatigue deterioration diagnosis method for a wind turbine according to an embodiment of the present invention.

Fig. 2 is a table showing an example of a method of calculating a normal stress value by the normal stress calculator of Fig. 1.

Fig. 3 is a conceptual diagram showing an example of the actual running fatigue deterioration time course calculated by the normal stress calculator of Fig. 1 .

Fig. 4 is a flow chart showing an example of a fatigue deterioration diagnosis method for a wind turbine according to an embodiment of the present invention.

Fig. 5 is a block diagram showing an outline of a fatigue deterioration diagnosis method for a wind turbine according to an embodiment of the present invention.

Fig. 6 is a block diagram showing an outline of a fatigue deterioration diagnosing method for a wind turbine according to an embodiment of the present invention.

Fig. 7 is a schematic configuration diagram of a windmill having a strain measuring device and a fatigue deterioration diagnosing device according to an embodiment of the present invention.

Fig. 8 is a block diagram showing an outline of an operation control device for a wind turbine according to an embodiment of the present invention.

Embodiments of the present invention will be described with reference to the drawings. In the drawings and the respective embodiments, the same or similar constituent elements are denoted by the same reference numerals, and the detailed description is omitted for the repeated parts.

[Example 1]

Fig. 1 is a block diagram showing an outline of a fatigue deterioration diagnosing method for a wind turbine according to an embodiment of the present invention.

The windmill 100 shown in FIG. 1 is provided with, for example, sensor data which is an output value of the strain measuring device 10 installed in the windmill for the fatigue deterioration diagnosis target, and calculates the measured stress value of the actual measured stress value of the windmill. 30. In addition, a normal stress calculator 40 that calculates the normal stress value of the wind turbine by inputting the wind direction value and the wind speed value, which are output values of the wind direction anemometer 20 provided at a specific portion of the wind turbine, is also included.

Further, the windmill 100 has the fatigue stress coefficient obtained by comparing the measured stress value and the normal stress value output from the normal stress calculator 40 with the measured stress value output from the measured stress calculator 30. The deterioration comparator (fatigue acceleration coefficient calculator) 50 and the fatigue acceleration coefficient of the fatigue deterioration degree S10 are calculated by inputting the fatigue acceleration coefficient output from the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50. The windmill 100 outputs the fatigue deterioration degree S10 of the windmill.

The sensor data measured by the strain measuring device 10 is obtained by measuring the strain value of the windmill. Here, the strain measuring device 10 refers to a strain gauge or a semiconductor strain sensor, an acceleration sensor, or the like.

A specific portion of the wind direction anemometer 20 may be, for example, a wind direction anemometer provided on the upper portion of the nacelle for control of the windmill.

The measured stress calculator 30 receives the strain data from the output of the strain measuring device 10 as an input, and calculates the measured stress value using a rain flow method or the like, for example, and outputs it.

The normal stress calculator 40 receives the output from the wind direction anemometer 20, that is, the wind direction value and the wind speed value, and selects the pre-stored stress value and outputs it as the normal stress value. In the normal stress calculator 40, the wind speed and the wind direction of the specific period after the installation of the wind turbine, and the measured stress value output from the actual measured stress calculator 30 at that time are stored in groups. The specific period after the installation of the wind turbine indicates a period in which the wind turbine is operating in a normal state, and for example, it may be considered to be one year or the like. As a method of storing the wind speed and the wind direction and the measured stress value, for example, a method of using a normal stress conversion table as shown in Fig. 2 can be considered.

Further, the actual running fatigue deterioration time period is created based on the actual operating stress value stored in the specific period after the installation of the wind turbine. The actual running fatigue deterioration time history indicates that the actual operating stress value stored in a specific period (for example, one year) after the installation of the windmill is repeatedly input between the design life of the windmill (for example, 20 years) until the design life. The progress of the fatigue degradation degree of the windmill.

The actual operation fatigue deterioration time course can be, for example, as shown in FIG. 3, in which the horizontal axis represents the operation time of the windmill, and the vertical axis represents the fatigue deterioration degree. The value obtained by dividing the measured stress value in the specific period after the wind turbine is set by the maximum load stress value at the time of designing is plotted on the vertical axis, and the slope of the fatigue deterioration degree in the specific period after the windmill is set is obtained. It is assumed that the fatigue deterioration proceeds to the design life of the windmill at the slope, and the actual running fatigue deterioration line is extended. Actual operation The rotational fatigue deterioration time course is maintained by the fatigue deterioration calculator 60.

The fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 receives the measured stress value output from the measured stress calculator 30 and the normal stress value output from the normal stress calculator 40, and calculates the measured stress value and the normal stress value. The associated fatigue acceleration factor is output. The fatigue acceleration coefficient is calculated, for example, by the following formula.

Fatigue acceleration coefficient = measured stress value / normal stress value

Here, when the fatigue acceleration coefficient is 1 or less, fatigue-free deterioration is indicated, and when 1 is large, fatigue deterioration is in progress.

The fatigue deterioration calculator 60 receives the fatigue acceleration coefficient output from the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50, and compares it with the actual running fatigue deterioration time history calculated by the normal stress calculator 40, for example, and calculates fatigue. Degree of deterioration S10. Specifically, the slope of the actual running fatigue deterioration line is corrected (corrected) by the fatigue acceleration coefficient, and the intersection between the actual running fatigue deterioration line of the correction (correction) and the design life of the wind turbine is calculated as the fatigue deterioration degree.

Fig. 2 is a table showing an example of a method of calculating a normal stress value by the normal stress calculator 40 of Fig. 1 . Basically, it is repeated with the already explained contents, so the repeated explanation is omitted here. As shown in Fig. 2, the wind speed and the wind direction are taken as the respective axes, and the actual operating stress value at that time is recorded. This table is created for each of the equivalent portions provided by the strain measuring device 10. or In other words, the equivalent portion and the wind speed set by the strain measuring device 10 are taken as the respective axes, and a table for recording the actual operating stress value at that time is prepared. You can also consider the method of preparing this watch for each wind direction.

Fig. 3 is a conceptual diagram showing an example of the actual running fatigue deterioration time course calculated by the normal stress calculator 40 of Fig. 1 . Basically, it is repeated with the already explained contents, so the repeated explanation is omitted here. As shown in Fig. 3, although the actual running fatigue degradation line is a straight line, it is also possible to consider an exponential function. In addition, in the third figure, the actual operation fatigue deterioration line may be extended based on the slope of the actual operation deterioration line in the specific period after the installation of the wind turbine, but it may be considered that the actual operation will be performed for a certain period of time (for example, every five years). The method of re-lineing the line of deterioration.

Fig. 4 is a flow chart showing an example of a fatigue deterioration diagnosis method for a wind turbine according to an embodiment of the present invention. Basically, it is repeated with the already explained contents, so the repeated explanation is omitted here. As shown in FIG. 4, when the fatigue deterioration diagnosis is started, the strain of the wind turbine is input as the strain measurement step F1, and the strain value D10 is outputted to the actual stress calculation step F2.

In the measured stress calculation step F2, the strain value D10 outputted from the step F1 is input, and the measured stress value D20 is outputted, for example, by the rain flow method, and proceeds to the fatigue acceleration coefficient calculation step F5.

In the wind direction and wind speed measurement step F3, the wind direction anemometer provided in the wind turbine is used to output the wind direction value and the wind speed value D30 and proceed to the normal stress calculation step F4.

In the normal stress calculation step F4, the step F3 is lost. The wind direction value and the wind speed value D30 are input as inputs, and the normal stress value D40 is output using the normal stress conversion table prepared in advance, and proceeds to the fatigue acceleration coefficient calculation step F5.

In the fatigue acceleration coefficient calculation step F5, the measured stress value D20 calculated in step F2 and the normal stress value D40 calculated in step F4 are input, and the fatigue acceleration coefficient D50 indicating the correlation between the measured stress value and the normal stress value is calculated, and Proceed to the fatigue degradation calculation step F6.

In the fatigue deterioration calculation step F6, the fatigue acceleration coefficient D50 calculated in the step 5 is input, and compared with the actual operation fatigue deterioration time course, for example, the fatigue deterioration degree S10 is calculated by the method shown in FIG.

As described above, according to the present embodiment, the fatigue of the wind turbine can be accurately estimated by the wind direction and the wind speed from the wind direction anemometer and the strain sensor provided in the wind turbine as the detection target of the fatigue deterioration. degree.

Further, the fatigue deterioration degree of the present embodiment is not limited to the fatigue deterioration degree itself in the present specification if the fatigue deterioration state of the windmill can be grasped.

In addition, in the wind condition information such as the wind direction and the wind speed of the windmill, in addition to the wind direction anemometer provided by the windmill itself, it is also possible to consider, for example, the windmill provided on the wind side of the windmill. The situation of measured data.

[Embodiment 2]

Fig. 5 is a block diagram showing an outline of a fatigue deterioration diagnosis method for a wind turbine according to a second embodiment of the present invention.

The windmill 200 having the fatigue deterioration diagnosing device shown in FIG. 5 includes, for example, inputting sensor data, which is an output value of the strain measuring device 10 installed in the windmill for the fatigue deterioration diagnosis target, and calculates the actual measurement of the windmill. The measured stress calculator 30 of the stress value. In addition, the normal stress calculator 40 that calculates the normal stress value of the wind turbine by inputting the wind direction value and the wind speed value, which are output values of the wind direction anemometer 20 provided at a specific portion of the wind turbine, is also included.

Further, the windmill 200 having the fatigue deterioration diagnostic device has an input of the measured stress value output from the measured stress calculator 30 and the normal stress value output from the normal stress calculator 40, and calculates the comparative measured stress value and the normal stress value. The fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 of the obtained fatigue acceleration coefficient and the fatigue acceleration coefficient output from the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 are input, and the fatigue of the fatigue deterioration degree S10 is calculated. Deteriorating calculator 60.

The measured stress calculation device 30, the normal stress calculator 40, the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50, and the fatigue deterioration calculator 60 are configured to output a fatigue deterioration degree S10 indicating the degree of deterioration of the wind turbine's menstrual fatigue. The fatigue deterioration diagnostic apparatus 300 outputs the fatigue deterioration degree S10.

As described above, the windmill 200 having the fatigue deterioration diagnostic device has substantially the same configuration as the windmill 100 described in the first embodiment. The measured stress calculator 30 and the normal stress calculator 40 and the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 and the fatigue deterioration calculator 60 are collectively referred to as a fatigue deterioration diagnostic device 300. The strain measuring device 10, the wind direction anemometer 20, the measured stress calculator 30, the normal stress calculator 40, the fatigue acceleration coefficient calculator 50, and the fatigue deterioration calculator 60 are the same as those described above, and thus detailed description thereof is omitted here. .

According to the present embodiment, by adding the strain measuring device 10 and the fatigue deterioration diagnostic device 300 to the existing windmill, the fatigue deterioration degree can be estimated with high accuracy as in the windmill 100 described in the first embodiment.

[Example 3]

Fig. 6 is a block diagram showing an outline of a fatigue deterioration diagnosis method for a wind turbine according to a third embodiment of the present invention.

The windmill 400 having the strain measuring device shown in FIG. 6 is provided with input, for example, sensor data which is an output value of the strain measuring device 10 of the wind turbine installed in the fatigue deterioration diagnosis, and calculates the windmill. The measured stress calculator 30 of the measured stress value. In addition, the normal stress calculator 40 that calculates the normal stress value of the wind turbine is input by inputting the wind direction value and the wind speed value, which are output values of the wind direction anemometer 20 provided at a specific portion of the windmill.

Further, the windmill monitoring tower 500 includes a fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 that inputs the measured stress value and the normal stress value of the wind turbine output from the windmill 400 having the strain gauge device, and calculates the measured value. Fatigue acceleration obtained by comparing stress value with normal stress value The coefficient and the fatigue deterioration calculator 60 calculate the fatigue deterioration degree S10 by inputting the fatigue acceleration coefficient output from the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50. The windmill monitoring tower 500 outputs the fatigue deterioration degree S10 of the wind turbine.

In other words, the present embodiment is provided with the windmill 400 including the strain gauge 10, the wind direction anemometer 20, the measured stress calculator 30, and the normal stress calculator 40, and the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 and fatigue. The windmill monitoring tower 500 of the deterioration calculator 60 is configured.

Basically, the present embodiment has substantially the same configuration as the windmill 100 or the windmill 200 described in the first embodiment or the second embodiment, and the strain gauge 10, the wind direction anemometer 20, the measured stress calculator 30, and the normal stress calculator are basically configured. 40. The fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 and the fatigue deterioration calculator 60 are the same as those described above, and thus detailed description thereof will be omitted.

Fig. 6 shows a configuration in which the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50 and the fatigue deterioration calculator 60 are provided in the windmill monitoring tower. However, the actual stress calculation device 30 and the normal stress calculator 40 may be similarly provided. The structure of the windmill monitoring tower. Further, the measured stress calculator 30, the normal stress calculator 40, the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50, and the fatigue deterioration calculator 60 may be provided via a network line such as wireless communication or wired communication. The structure other than the windmill and the windmill monitoring tower.

Similarly, in various embodiments, it is also considered that it will be fatigued. The fatigue deterioration degree S10 calculated by the labor deterioration calculator 60 is transmitted from the windmill 100, the windmill 200, and the windmill monitoring tower 500 to a central monitoring system provided externally via a network line such as wireless communication or wired communication. In this case, it is necessary to provide a transmission mechanism such as a wireless transmitting device to the windmill 100, the windmill 200, and the windmill monitoring tower 500.

[Example 4]

Fig. 7 is a schematic configuration diagram of a windmill having a strain measuring device and a fatigue deterioration diagnostic device according to a fourth embodiment of the present invention.

The windmill 1000 having the strain measuring device and the fatigue deterioration diagnosing device shown in FIG. 7 has, for example, a strain E10 or a blade E20 of a windmill to be subjected to fatigue deterioration diagnosis, and a strain of the tower E10 or the blade E20 installed in the windmill. The measuring device 10, the SCADA 70 (Supervisory-Control-And-Data-Acquisition) for storing the environmental data and the control data of the windmill, and the fatigue of the fatigue deterioration degree S10 indicating the degree of fatigue deterioration of the windmill over the years. The diagnosis device 300 is deteriorated, and the fatigue deterioration degree S10 is output.

The windmill 1000 having the strain measuring device and the fatigue deterioration diagnosing device has substantially the same configuration as the windmill 200 including the fatigue deterioration diagnosing device described in the second embodiment, and the strain measuring device 10 and the fatigue deterioration diagnosing device 300 are The contents of the description are repeated, so the detailed description is omitted here.

The fatigue deterioration degree S10 can be measured in the form of a report output or a monitor screen output to a monitoring tower of a windmill or the like, or It is part of the environmental data of the windmill and is stored in the form of the data storage device, SCADA 70. In the seventh embodiment, the fatigue deterioration diagnostic device 300 is included in the windmill 1000 having the strain measuring device and the fatigue deterioration diagnostic device. However, it is also possible to adopt a mode in which the SCADA 70 is incorporated into the SCADA 70.

[Example 5]

Fig. 8 is a block diagram showing an outline of an operation control device for a wind turbine according to a fifth embodiment of the present invention. In addition, in the eighth drawing, in order to make the configuration easy to understand, the actual stress calculation device 30, the normal stress calculator 40, the fatigue deterioration comparator (fatigue acceleration coefficient calculator) 50, and the fatigue deterioration calculation described in each of the above embodiments are used. The device 60 is shown as the fatigue deterioration diagnostic device 300.

The operation control device 2000 of the wind turbine shown in Fig. 8 includes a fatigue deterioration diagnosis device 300 that calculates the measured value based on the sensor data of the strain amount measuring device 10 provided at the windmill from the fatigue deterioration diagnosis target. The stress value and the normal stress value calculated based on the output value of the wind direction anemometer 20 provided at a specific portion of the windmill are input, and the fatigue deterioration degree S10 indicating the degree of fatigue deterioration of the windmill over the years is output; and the operation controller 80. The fatigue deterioration degree output from the fatigue deterioration diagnostic device 300 is input, and the fatigue deterioration degree and the operation reference value are compared, and the operation control signal S20 is output. This operation control device 2000 outputs an operation control signal S20.

The windmill operation control device 2000 is as described in the second embodiment. The wind turbine 200 having the fatigue deterioration diagnostic device has a configuration in which the operation controller 80 is added. The strain measuring device 10 and the fatigue deterioration diagnostic device 300 are the same as those described above. Therefore, detailed description thereof is omitted here.

The operation controller 80 receives the fatigue deterioration degree as an input, and outputs the operation control signal S20 with the fatigue deterioration degree 90 as the operation reference value in consideration of the safety factor, and increases the general operation or operation rate when the fatigue deterioration degree is equal to or lower than the operation reference value. When the fatigue deterioration degree is larger than the operation reference value, the operation is suppressed and the like.

By grasping the degree of fatigue deterioration of the windmill, in order to prevent the windmill from continuing to operate until the next maintenance, or to predict the failure period, the interval from the next maintenance work day to the next maintenance work day In order to maximize the amount of power generation, the operation mode is changed in accordance with the degree of fatigue deterioration, thereby providing an operation service that is most suitable for the customer's needs.

In addition, it is also possible to provide immediate ordering of the parts and make the next inspection day earlier than scheduled, or to re-evaluate the maintenance adjustment service such as the maintenance period in view of the progress of the fatigue deterioration.

Furthermore, by prompting the customer, especially the windmill owner, the degree of fatigue deterioration can be used as a maintenance report for the windmill. Moreover, when it is necessary to replace parts, it can also be used as evidence for the burden of the request.

According to each of the above-described embodiments, the fatigue deterioration of the windmill can be estimated by the wind direction and wind speed from the wind direction anemometer and the strain sensor of the portion to be detected which is provided in the fatigue deterioration of the wind turbine. Again, by taking the test Considering the degree of fatigue deterioration of the windmill, the O&M service (Operation-And-Maintenance) can be provided to maintain the operation of the damaged part and to suppress the operation until the next maintenance.

Further, the present invention is not limited to the above embodiments, and various modifications are also included. For example, the above-described embodiments are described in detail to explain the present invention in an easy-to-understand manner, but the present invention is not necessarily limited to having all of the constituents described. Further, a part of the configuration of a certain embodiment may be replaced with a configuration of another embodiment, and a configuration of another embodiment may be added to the configuration of a certain embodiment. Further, addition, deletion, and replacement of other configurations may be performed for one of the configurations of the respective embodiments.

Further, each of the above-described configurations, functions, processing units, processing mechanisms, and the like can be realized by a part of or all of them, for example, in an integrated circuit design or the like. Further, each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes various functions by using an information processor. The information of programs, tables, files, and the like for realizing functions can be placed in a recording device such as a memory or a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

Moreover, the relevant control line or information line indicates that it is considered necessary in the description, and is not necessarily limited to indicating all control lines or information lines on the product. In fact, it is considered that almost all of the components are connected to each other.

Claims (10)

A windmill characterized in that it is driven by wind and generates electricity; the windmill includes: a strain measuring device that measures a strain generated at the windmill, and a measured stress that calculates a first stress value of the windmill based on the measured strain a calculator, a normal stress calculator that calculates a second stress value of the windmill based on the wind condition information of the windmill, a comparator that compares the first stress value and the second stress value, and calculates the windmill based on the comparison result In the fatigue deterioration calculator of the fatigue deterioration state, the normal stress calculator calculates the second stress value using a normal stress conversion table set in advance based on the wind condition information and the measured stress value of the wind turbine stored in a specific period. A windmill according to claim 1, wherein the comparator calculates a fatigue acceleration coefficient that is a ratio of the first stress value to the second stress value. The windmill according to the second aspect of the invention, wherein the fatigue deterioration calculator generates a fatigue deterioration time course of the windmill based on the second stress value, corrects the fatigue deterioration time course based on the fatigue acceleration coefficient, and corrects the fatigue due to the correction The fatigue deterioration state of the windmill is calculated by the deterioration time period and the design life of the wind turbine. A windmill according to any one of claims 1 to 3, A transmission mechanism that transmits the calculated fatigue deterioration state of the wind turbine to the outside by wireless communication or wired communication is provided. A method for diagnosing a fatigue degradation of a windmill, characterized in that it is a method for diagnosing fatigue degradation of a wind turbine that is operated by wind, and calculates a first stress value of the windmill based on a strain measured by a strain measuring mechanism, based on the foregoing Calculating the second stress value of the windmill based on the wind condition information of the windmill, comparing the first stress value with the second stress value, and diagnosing the fatigue of the windmill based on a comparison result between the first stress value and the second stress value In the deterioration state, the second stress value is a normal stress value calculated by a normal stress conversion table set in advance based on the wind condition information and the measured stress value of the wind turbine stored in a specific period. The method for diagnosing fatigue degradation of a windmill according to claim 5, wherein a fatigue acceleration coefficient that is a ratio of the first stress value to the second stress value is calculated based on a comparison between the first stress value and the second stress value . The method for diagnosing fatigue degradation of a windmill according to claim 6, wherein the fatigue deterioration time course of the windmill is generated based on the second stress value, The fatigue deterioration time course is corrected based on the fatigue acceleration coefficient, and the fatigue deterioration state of the wind turbine is calculated based on the corrected fatigue deterioration time course and the design life of the wind turbine. A method for controlling the operation of a windmill, characterized in that it is a method for controlling the operation of a wind turbine that is operated by wind, and calculates a first stress value of the windmill based on the strain measured by the strain measuring mechanism, based on the windmill The wind stress information is used to calculate the second stress value of the wind turbine, and the first stress value and the second stress value are compared, and the fatigue deterioration state of the windmill is diagnosed based on a comparison result between the first stress value and the second stress value. The operation of the wind turbine is controlled based on the fatigue deterioration state, and the normal stress calculated by the normal stress conversion table set in advance based on the wind condition information and the measured stress value of the wind turbine stored in the specific period is used. value. In the method of controlling the operation of the windmill according to the eighth aspect of the invention, the fatigue acceleration coefficient which is a ratio of the first stress value to the second stress value is calculated based on a comparison between the first stress value and the second stress value. The method for controlling the operation of a windmill according to the ninth aspect of the invention, wherein the fatigue degradation of the windmill is performed based on the second stress value The first fatigue deterioration state of the wind turbine is calculated based on the fatigue deterioration time course and the design life of the wind turbine, and the fatigue deterioration time course is corrected based on the fatigue acceleration coefficient, and the corrected fatigue deterioration time history and the windmill are corrected. The second fatigue deterioration state of the wind turbine is calculated by designing the life, and the first fatigue deterioration state and the second fatigue deterioration state are compared, and the degree of fatigue deterioration is low based on the first fatigue deterioration state and the second fatigue degradation state. The fatigue of the person deteriorates the time course and controls the operation of the windmill.