CN106662515B - Data acquisition system and data acquisition method for testing wind turbine blades - Google Patents
Data acquisition system and data acquisition method for testing wind turbine blades Download PDFInfo
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- CN106662515B CN106662515B CN201580007976.4A CN201580007976A CN106662515B CN 106662515 B CN106662515 B CN 106662515B CN 201580007976 A CN201580007976 A CN 201580007976A CN 106662515 B CN106662515 B CN 106662515B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0016—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings of aircraft wings or blades
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/83—Testing, e.g. methods, components or tools therefor
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Abstract
The present invention relates to a distributed data acquisition system in which a signal line of a sensor attached to a large blade is shortened to prevent noise from being included in acquired data, and detection data is kept time-synchronized. Moreover, the invention also relates to a data acquisition method capable of safely acquiring and storing data. The distributed data acquisition system according to the present invention comprises: at least two distributed data acquisition devices (200) arranged distributed on a wind turbine blade (10); and at least two sensors, which are arranged distributed on the surface of the blade or inside the blade and are connected to adjacent distributed acquisition means using signal wiring.
Description
Technical Field
The present invention relates to testing for performance evaluation of wind turbine blades, and more particularly to a distributed data acquisition system in which signal lines (cables) attached to sensors of large blades are shortened to prevent noise from being included in acquired data, and detection data is kept time-synchronized. Moreover, the invention also relates to a data acquisition method capable of safely acquiring and storing data.
Background
In wind turbine systems, rotor blades are the most important components for converting wind energy into mechanical energy, and rotor blades are getting larger and up to several MW in scale to increase the efficiency of power generation by expanding the offshore wind power generation.
Fig. 1 is a diagram illustrating a general cross-sectional structure of a wind turbine blade. The blade 10 constituting the rotor blade has an airfoil shape (air-foil shape) including a leading edge 10a and a trailing edge 10b, and has a box beam type support structure constituted by a plurality of girders 2 and shear webs 4 in a shell 6 to withstand high bending loads and centrifugal forces.
The design of the blade must take into account the various load conditions imposed during operation and also needs to ensure that the actual performance meets the required standards. In particular, it must be demonstrated that during the designed service life of more than 20 years, the blades are able to withstand extreme loads and fatigue loads, and for this reason the blades need to pass the tests carried out by international certification.
Fig. 2 is a schematic diagram showing an example of a static test, and fig. 3 is a schematic diagram showing an example of a fatigue test. The testing of the blade may be classified into static testing and fatigue testing.
Static testing is used to demonstrate that the strength and stiffness of the blade can adequately withstand the designed loads. As shown in FIG. 2, in a static test, the root 14 of the blade 10 is secured to the fixture base 20 and at least one saddle 30 is mounted on the blade 10. The static load measured by the at least one load cell 40 is applied to the blade 10 to obtain the maximum displacement and the extreme load. In this case, a number of strain gauges (not shown) attached in a main load path (main load path) of the blade 10 are used to measure the strain state and the stress state of the blade 10, thereby verifying the structural design and analysis results of the blade.
Fatigue testing is used to demonstrate that the blade is able to maintain strength and stiffness under repeated loading over the designed service life. As shown in fig. 3, at least one structure for applying continuous operation load to the blade 10 may be provided in the fatigue test, which is equipped with at least one hydraulic actuator 50 for moving the mass block 52 up and down. Also, in the fatigue test, the strain state and the stress state of the blade 10 are measured using data collected by a large number of strain gauges (not shown) attached on the surface of the blade 10.
FIG. 4 is a schematic diagram illustrating the problems of a data acquisition system for testing wind turbine blades according to the prior art. As shown in FIG. 4, in prior art data acquisition systems, a large number of strain gauges 110 are attached to the surface of the blade 10 to measure the strains and stresses acting on the blade 10. Cables C as signal lines of the strain gauge 100 are led out in one direction of the blade 10, and these cables are connected to a data acquisition apparatus (DAQ)200 having a certain number of channels. The way of fixing the cable C to the blade surface using tape or the like prevents interference with the test due to the swinging of the cable C, which depends on the amplitude of the blade.
As shown in fig. 4, the data acquisition system according to the related art has a structure in which data measured by a large number of strain gauges 110 is collectively collected in a single data acquisition device 200. That is, in the conventional test system, the cable C (i.e., the signal line of the strain gauge 110) may become long. In particular, as the length of the blade increases above about 60m, the length of the cable increases even more. In this case, the cable of the strain gauge disposed in the vicinity of the front end portion of the blade 10 becomes longer than the length of the blade 10. That is, in the structure of the data acquisition system according to the related art, the length of the cable of the sensor is increased by about 10m to 100m or more.
Meanwhile, the signal output from the strain gauge 110 is a minute analog signal in mV. As the length of the cable connecting these strain gauges increases, there is a problem in that the analog signal easily contains noise. That is, the data collected by the data collection device 200 has a low signal-to-noise ratio, resulting in a significant reduction in the reliability of the test. In severe cases, it is difficult to identify whether a data value output through the display is a signal or noise.
Further, since about more than 100 strain gauges 110 are mounted on a large blade, there is a problem that the signal-to-noise ratio is further lowered as signal interference occurs due to a certain number of cables C which are complicatedly arranged on the surface of the blade 10.
[ Prior art documents ]
[ patent document ]
(patent document 1) Korean patent application laid-open No. 2011-
(patent document 2) Korean patent application laid-open No. 2013-0087920
Disclosure of Invention
Technical problem
The present invention has been made to solve the above-mentioned problems of the prior art, and an object of the present invention is to provide a data acquisition system and a data acquisition method for testing a wind turbine blade, which can improve the reliability of the test result by avoiding noise included in data acquired by sensors.
Another object of the present invention is to provide a data collecting system and a data collecting method, which can solve the problem that time information of detected data is inconsistent and data cannot be compared due to a distributed arrangement of data collecting devices.
It is another object of the present invention to provide a data collecting system and a data collecting method which can prevent stored inspection data from disappearing when a blade is damaged at the time of testing.
Technical scheme
In order to achieve the object of the invention as described above, at least two distributed data acquisition devices (200) are arranged distributed on the wind turbine blade (10); and at least two sensors, which are distributively arranged on the surface of the blade or inside the blade and are connected to the adjacent distributed acquisition devices using signal wiring.
In addition, preferably, the data acquisition system further includes: a data storage device (300) that stores the detection data collected by the distributed data collection device (200).
In addition, preferably, the data acquisition system further includes: a data hub (400) that collects data collected from the distributed data collection apparatus (200).
Further, preferably, the data hub (400) is connected in parallel to the distributed data collection apparatus (200).
further, preferably, the data hub (400) is connected to the distributed data collection apparatus (200) in series.
In addition, preferably, the data acquisition system further includes: a data storage device (300) that stores data collected from the data hub (400).
In addition, preferably, the distributed data acquisition apparatuses (200) are connected in series with each other through high-speed serial interfaces.
in addition, the data storage device (200) and the data hub (400) preferably communicate through a wired or wireless communication network.
In addition, each of the distributed data acquisition devices (200) includes an a/D converter, an amplifier, and a noise filter.
Additionally, the data hub (400) preferably uses digital data from the distributed data acquisition device (200).
In addition, the data hub is fixedly attached to one surface of the blade or disposed outside the blade.
the above object of the present invention may be achieved by a data acquisition method for testing a wind turbine blade, the method comprising: distributively arranging a number of sensors on a surface or inside of a blade, distributively arranging at least two distributed data acquisition Devices (DAQs) on the blade, and connecting the sensors to adjacent distributed acquisition devices using signal wiring; performing a test on the blade; and collecting data detected by the sensor by the distributed data collection apparatus.
In addition, the data acquisition method of the present invention may further include: connecting a data hub to the distributed data acquisition devices after the step of arranging the distributed data acquisition devices, wherein the connection of the distributed data acquisition devices to the data hub is a parallel connection, a series connection, or a combination of a parallel connection and a series connection.
In addition, the data acquisition method of the present invention may further include: after the step of connecting the data hub to the distributed data acquisition devices, setting the distributed data acquisition devices such that the data detected by the sensors remains time synchronized and acquired.
Further, preferably, the step of collecting the data by the distributed data collection apparatus includes converting the detected data into a digital signal by the distributed data collection apparatus.
Advantageous effects
In the data acquisition system according to the preferred embodiment of the present invention, the distributed data acquisition means is connected to sensors arranged in predetermined regions of the blade, and acquires detection data distributively. That is, since a certain number of distributed data collecting devices are distributively arranged on the surface of the blade, the signal line (cable) of the sensor can be shortened, so that it is possible to avoid noise contained in the analog signal output from the sensor. Therefore, the data acquired by the distributed data acquisition device has high signal-to-noise ratio, and the reliability of the test result is greatly improved. In addition, in the test system of the present invention, by simplifying the configuration of the cable, the occurrence of noise due to signal interference can be further reduced.
In addition, the data acquisition system according to the present invention can keep time synchronization of the detection data acquired by the distributed data acquisition apparatus and transmit the data to the external data storage apparatus. This can solve the problem of inconsistency of the time information of the detection data, which is generally caused by the distributed arrangement of the data acquisition apparatuses. The data acquisition system according to the present invention includes a data hub connected in parallel or in series with a certain number of distributed data acquisition devices, thereby enabling efficient data transmission.
Further, in the data acquisition system according to the present invention, the data storage device is disposed outside and spaced apart from the blade, and thus it is possible to prevent data from disappearing or being lost due to damage of the blade during the test.
Other objects, specific advantages and novel features of the invention will become apparent from the following detailed description of preferred embodiments and from the drawings.
Drawings
Fig. 1 is a diagram illustrating a general cross-sectional structure of a wind turbine blade.
Fig. 2 is a schematic diagram showing an example of static testing.
Fig. 3 is a schematic diagram showing an example of fatigue testing.
FIG. 4 is a schematic diagram illustrating the problems of a data acquisition system for testing wind turbine blades according to the prior art.
Fig. 5 is a configuration diagram showing an example of a data acquisition system according to the present invention.
Fig. 6 is a sectional view of a blade for explaining the arrangement of the sensors.
Fig. 7 is a configuration diagram schematically showing a data acquisition system according to a first embodiment of the present invention.
Fig. 8 is a block diagram showing a connection state of the data collection device and the data hub which keep the detection data time-synchronized in the test system according to the first embodiment.
Fig. 9 is a configuration diagram schematically showing a data acquisition system according to a second embodiment of the present invention.
Fig. 10 is a block diagram showing an example of a configuration for keeping detection data time-synchronized in the test system according to the second embodiment.
Fig. 11 is a block diagram showing a configuration of keeping time synchronization of detection data in accordance with a modification of the second embodiment.
FIG. 12 is a flow chart illustrating a data acquisition method for testing a wind turbine blade according to the present invention.
Fig. 13 is a graph showing detection data obtained by a centralized data acquisition apparatus according to the related art.
Fig. 14 is a graph showing detection data obtained by the distributed data acquisition apparatus according to the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings.
It is to be understood that no detailed description of known functions or constructions related to the invention is given so as not to unnecessarily obscure the invention. Further, in designating reference numerals and symbols, the same reference numerals and symbols are used to represent the same constituent elements even though the same reference numerals and symbols are shown in other drawings.
(data acquisition System for testing wind turbine blades)
First, a data acquisition system according to the present invention will be explained with reference to fig. 5 to 12.
Fig. 5 is a configuration diagram showing an example of a data acquisition system according to the present invention, and fig. 6 is a sectional view of a blade for explaining the arrangement of sensors. The data acquisition system according to the invention is provided for the purpose of static testing and fatigue testing performed for performance evaluation of wind turbine blades. The data acquisition system can be effectively applied to the testing of large blades of several MW classes, but it should be noted that the data acquisition system can also be applied to the testing of medium or small blades of the class below 1 MV.
As shown in fig. 5, the data acquisition system according to the embodiment of the present invention includes a blade 10, sensors 110, 120, and 130, a distributed data acquisition apparatus 200, and a data hub 400.
The root 14 of the blade 10 is secured to a fixture base (not shown) for testing.
The sensors 110, 120, and 130 are distributively arranged on the surface of the blade 10 or inside the blade, and have a role of converting physical parameters such as strain, acceleration, and displacement, which are generated when a test load is applied to the blade 10, into electrical signals and then outputting the electrical signals. The embodiment in fig. 5 shows a case where the strain gauges 110 and 120 and the accelerometer 130 are provided, and various sensors such as a displacement meter (not shown) may also be provided.
On the surface of the blade 10, a plurality of rows of strain gauges 110 may be arranged from the end of the root portion 14 of the blade 10 towards the front end portion 12. According to the present embodiment, a total of ten rows of the strain gauges 110 are arranged. In this case, the strain gauges 110 arranged in each row are disposed in parallel to a line direction (cord direction) of the blade 10 with a predetermined distance from the end of the root 14.
As shown in fig. 6, four strain gauges 110 arranged in each row are attached to the leading edge 10a, the trailing edge 10b, the upper surface, and the lower surface of the blade 10, respectively. Therefore, the present embodiment shows a case where a total of 80 strain gauges 110 are attached to the surface of the blade 10. Obviously, the number and attachment locations of the strain gauges 110 may vary, for example, depending on the size and configuration of the blade 10.
The strain gauges 110 described above are uniaxial strain gauges and are arranged in the longitudinal direction of the blade 10. The uniaxial strain gauge 110 detects a minute tensile or compressive strain generated on the surface of the blade, and then outputs an analog electrical signal. By analyzing the inspection data, the stress state of the surface of the blade 10 may be measured.
According to the present embodiment, the shear web of the root portion 14 of the blade 10 is fitted with two multi-axis strain gauges 120. That is, if a static test or a fatigue test is required, a biaxial shear strain gauge or a triaxial rosette strain gauge may be provided at a specific position of the blade 10, and thus a stress state complicatedly applied to the blade 10 can be measured.
As shown in fig. 5, the accelerometer 130 may be arranged in a line along the pitch axis (pitch axis) of the blade 10. According to this embodiment, a total of five accelerometers 130 may be affixed to the surface or interior of the blade 10. Thus, acceleration data based on the longitudinal position of the blade 10 may be detected when the test load is applied.
At least two distributed data acquisition Devices (DAQs) 200 are distributively arranged on the blade 10, and have a role of acquiring detection data from the sensors 110, 120, and 130 disposed in the vicinity thereof. Preferably, the distributed data acquisition apparatus 200 is provided with an AD converter to convert the acquired analog signal into a digital signal. The distributed data acquisition apparatus 200 may be provided with an amplifier (Amp) for amplifying a weak analog signal and a filter for allowing only a signal having a predetermined frequency band to pass therethrough.
According to the present embodiment, as shown in fig. 5, the distributed data collection apparatuses 200 are box-type modules, and seven data collection apparatuses 200 in total are fixedly attached to one surface of the blade 10. Here, the data collection device 200 is firmly fixed using a double-sided tape, an adhesive, a velcro (r), etc. to prevent the data collection device 200 from being detached due to the amplitude of the blade 10 during the test. Upon completion of the test, the data acquisition device 200 is detached from the blade 10 and stowed.
In the present embodiment, each of the five distributed data acquisition devices 200 has eight channels, and these channels are connected to two rows of uniaxial strain gauges 110 arranged on the surface of the blade 10. A distributed data acquisition device 200 has two channels and these channels are connected to a multi-axis strain gauge 120 disposed on the root 14. Other distributed data acquisition devices 200 have five channels connected to accelerometers 130 arranged along the pitch axis of the blade 10.
The distributed data collection apparatus 200 collects detection data from a number of sensors 110, 120, and 130 provided on the blade 10 in a distributed manner. In this case, since the data collection device 200 is disposed adjacent to the sensors disposed in the predetermined region of the blade 10, the length of the cable as the signal line of the sensors 110, 120, and 130 can be shortened. For example, when the large blade has a length of 60m or more, the cable may have a length of about 1 to 10 m.
Meanwhile, each of the distributed data collection devices 200 may have 2 to 20 channels depending on the size of the blade 10 and the number of attached sensors, and the number of data collection devices 200 to be installed may be in the range of 2 to 100.
Fig. 7 is a configuration diagram schematically showing a data acquisition system according to a first embodiment of the present invention. As shown in fig. 7, the data acquisition system according to the present invention may further include a data storage device 300 and a data hub 400.
The data storage device 300 has a function of receiving and storing the detection data from the distributed data collection device 200. Preferably, the data storage device 300 is arranged with a certain distance with respect to the blade 10. This is because if the data storage device 300 is disposed on the surface of the blade 10, the stored data may disappear or be lost due to the impact when the blade 10 is damaged or dropped during the test.
the data hub 400 is connected to the distributed acquisition apparatus 200 in a wired or wireless manner to relay data to the data storage apparatus 300. According to the present embodiment, the data hub 400 is attached to a position on the surface of the blade 10 as shown in fig. 7, and is connected in parallel to the distributed data collection apparatuses 200, thereby receiving the detection data from each data collection apparatus 200.
In the present embodiment, the data storage device 300 is connected to the data hub 400 through a LAN cable to perform ethernet communication. However, other wired or wireless communication methods may also be applied.
Although the data hub 400 is disposed at the central portion of the blade 10 and connected to the distributed data collection apparatus 200, the data hub 400 may be disposed outside the blade 10. This is because the data output from the distributed acquisition apparatus 200 is a digital signal, so that noise is not included in the detection data even when the length of the cable for connecting the distributed acquisition apparatus 200 to the data hub 400 increases.
Fig. 8 is a block diagram showing a connection state of the data collection device for keeping the detection data time-synchronized and the data hub in the test system according to the above-described first embodiment. Referring to fig. 8, a number of data acquisition devices 200 are connected in parallel to a data hub 400. Since the detection data transmitted from the data collecting apparatus 200 are different from each other in time information, it is necessary to keep the detection data time-synchronized in order to analyze the detection data.
To this end, in the first embodiment of the present invention, as shown in fig. 8, a high-speed serial interface such as a fire line for separately connecting the distributed data collection apparatuses 200 may be provided. That is, after the distributed data collection apparatuses 200 are mounted on the blade, the data collection apparatuses 200 connected through the high-speed serial interface are set such that the detection data are kept time-synchronized and collected. The data acquisition device 200 synchronizes and acquires the data detected by the sensors 110, 120, and 130 through the high-speed serial interface and collects the data at the data hub 400.
As another example, the following configuration may be provided: although the distributed data collection apparatuses 200 are not separately connected, time synchronization may be achieved using data transmission through a parallel connection line (PL). For example, LAN or Controller Area Network (CAN) communication may be performed through a parallel connection line (PL), or a high-speed serial interface may be provided.
Fig. 9 is a configuration diagram schematically showing a data acquisition system according to a second embodiment of the present invention. In the data acquisition system according to the present invention, as shown in fig. 8, the distributed data acquisition apparatuses 200 may be connected in series.
According to the present embodiment, since the distributed data collection apparatuses 200 are connected in series, the detection data collected by each data collection apparatus 200 is transmitted in one direction and stored in the data storage apparatus 300 via the data hub 400.
In this case, as shown in fig. 9, the data hub 400 may be disposed at the edge of the blade 10. Alternatively, the data hub 400 may be disposed outside of the blade.
Fig. 10 is a block diagram showing a connection state of the data collection device for keeping the detection data time-synchronized and the data hub in the test system according to the above-described second embodiment. According to the present embodiment, the data hub 400 is connected in series with a number of data acquisition devices 200.
A serial connection line (SL) may be configured to perform CAN communication, or may be provided with a high-speed serial interface such as a firewire. That is, data transmission and time synchronization can be performed through a single serial connection line.
Fig. 11 is a block diagram showing a connection state of a data collection device for keeping detection data time-synchronized and a data hub in a test system according to a third embodiment of the present invention. According to the present embodiment, the data hub 400 has a structure connected in parallel to the groups 200a, 200b, and 200c respectively formed by the serial connection of the data acquisition Devices (DAQs). That is, this is a composite structure in which a certain number of serial connection lines SL1, SL2, and SL3 are connected in parallel.
each of the serial connection lines SL1, SL2, and SL3 may be configured to perform CAN communication, or each may be provided with a high-speed serial interface. Thus, the detection of data by sensors (not shown) can be kept time-synchronized and collected by a distributed data acquisition apparatus (DAQ).
Data acquisition method for testing wind turbine blades
In the following, a data acquisition method for testing a wind turbine blade according to an embodiment of the invention will be described with reference to fig. 12, where also with reference to fig. 5 to 11.
FIG. 12 is a flow chart illustrating a data acquisition method for testing a wind turbine blade according to the present invention.
The data acquisition method according to the present invention first arranges a number of sensors 110, 120 and 130 distributed on the main load path acting on the blade 10 according to a static test or a fatigue test (S100). In this case, the sensors may be strain gauges 110, 120, accelerometers 130, displacement gauges, and the like, and are attached and mounted to the surface or inside of the blade 10.
Thereafter, two or more distributed data collection devices 200 are arranged on the surface of the blade 10, and the signal lines (cables) of the sensors 110, 120, and 130 located in the arrangement area are connected to the data collection devices 200 (S200). In this case, the number of sensors 110, 120, and 130 arranged in each area may be 2 to 20, and 2 to 100 data collection devices 200 may be arranged.
in addition, preferably, the distributed data acquisition device 200 is fixedly attached to one surface of the blade 10 to be adjacent to the sensors in that area. Therefore, the length of the signal line (cable) according to the present invention can be reduced to 10m or less.
Next, the data hub 400 is disposed on one surface of the blade 10 or outside, and is connected to the distributed data collecting apparatus 200 through a wired or wireless communication network (S300). The connection method may be a parallel connection method or a series connection method, and also a combination of parallel connection and series connection is possible.
in addition, a data storage device 300 in wired or wireless communication with the data hub 400 may be disposed outside the blade 10.
Then, the distributed data collection apparatus 200 is set such that the data detected by the sensors 110, 120, and 130 are kept time-synchronized and collected (S400). The lines (PL and SL) for connecting the data collection device 200 are configured to perform CAN communication, or may be provided with a high-speed serial interface such as a fire line, so that data transmission and time synchronization CAN be simultaneously achieved.
next, a test load prescribed according to a static test or a fatigue test is applied to the blade 10 (S500). The test load is measured by a separately provided load cell (not shown).
Finally, the sensors 110, 120, and 130 provided on the blade 10 convert physical parameters such as strain, acceleration, and displacement into electrical signals and output the electrical signals, and then collect output data through the distributed data collection apparatus 200 (S600). The data collected by the data collection device 200 are kept time-synchronized and converted into digital signals by a built-in AD converter. The collected data is stored in the data storage device 300 via the data hub 400.
the performance evaluation of the blade 10 is performed using the detection data stored in the data storage 300, which maintains the time synchronization. For example, the inspection data is transmitted to a Personal Computer (PC) containing a predetermined test program for analyzing the inspection data, so that the performance evaluation of the blade can be performed according to a static test or a fatigue test.
(comparative example)
Fig. 13 is a graph showing detection data obtained by a centralized data acquisition apparatus according to the related art, and fig. 14 is a graph showing detection data obtained by a distributed data acquisition apparatus according to the present invention.
Fig. 13 (a) shows the output of the detection data acquired by the centralized data acquisition apparatus explained in the background art, and shows the change in strain (μm/m) with time(s). The inspection data was measured by strain gauges (pressure) attached to the upper surface of the blade and strain gauges (suction) attached to the lower surface of the blade, which had a distance of 21m with respect to the root end of the blade.
Fig. 14 (a) shows an output of detection data acquired by the distributed data acquisition apparatus according to the present invention. The inspection data was measured by strain gauges (SS and PS) having a distance of 22.8m with respect to the root end.
As can be seen from fig. 13 (b), in the centralized data acquisition apparatus, the strain error of the detection data is high, i.e., 10 μm/m or more. This is because the length of the cable connecting the strain gauge and the data acquisition device is long, and therefore noise is contained in the detected analog signal.
However, as can be seen from (b) of fig. 14, in the distributed data acquisition apparatus, the strain error of the detection data is small, i.e., even 1 μm/m. This is because a certain number of data acquisition devices are distributed over the blade, thereby shortening the cables connected to the sensors, thereby avoiding noise in the signals. That is, the data collected by the distributed data collection apparatus of the present invention has a high signal-to-noise ratio, thereby remarkably improving the reliability of the test result.
As described above, although the present invention has been described with respect to the limited embodiments and the accompanying drawings, it is apparent to those skilled in the art to which the present invention pertains that the present invention is not limited thereto, and various changes and modifications can be made within the technical spirit of the present invention and the equivalent scope of the claims set forth below.
Claims (7)
1. A data acquisition system for testing a wind turbine blade, comprising:
At least two distributed data acquisition devices (200) arranged distributed on the wind turbine blade (10);
At least two sensors, which are arranged distributed on the surface of the blade or inside the blade and are connected to the adjacent distributed data acquisition devices (200) using signal wiring;
A data storage device (300) storing the detection data collected by the distributed data collection device (200); and
A data hub (400) that collects data collected from the distributed data collection apparatus (200), is connected to the distributed data collection apparatus (200) in parallel or in series, and relays data transmission to the data storage apparatus (300),
Wherein the data storage device (300) is arranged outside the blade and the data storage device (300) and the data hub (400) communicate via a wired or wireless communication network, and
The data detected by the sensor are kept time synchronous through a high-speed serial interface, a parallel connection line or a serial connection line and are collected by the distributed data collection device (200).
2. The data acquisition system as defined in claim 1, wherein the distributed data acquisition apparatuses (200) are connected in series with each other by high-speed serial interfaces.
3. The data acquisition system as set forth in claim 1, wherein each of the distributed data acquisition devices (200) includes an a/D converter, an amplifier, and a noise filter.
4. The data acquisition system of claim 1, wherein the data hub (400) uses digital data from the distributed data acquisition apparatus (200).
5. The data acquisition system of claim 1, wherein the data hub is fixedly attached to one surface of the blade or disposed outside of the blade.
6. A data acquisition method for testing a wind turbine blade using the data acquisition system of claim 1, comprising:
Arranging a number of sensors distributed on the surface of a blade or inside the blade, arranging at least two distributed data acquisition devices distributed on the blade, and connecting the sensors to the adjacent distributed data acquisition devices using signal wiring;
Connecting the data concentrator and the distributed data acquisition devices in parallel, in series or in a combination of parallel and series;
Setting the distributed data acquisition device so that the data detected by the sensor is kept time-synchronized and acquired through a high-speed serial interface, a parallel connection line or a serial connection line;
Performing a test on the blade; and is
Data detected by the sensors is collected by the distributed data collection apparatus.
7. The data acquisition method as set forth in claim 6, wherein the step of acquiring the data by the distributed data acquisition apparatus comprises converting the detected data into digital signals by the distributed data acquisition apparatus.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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KR10-2014-0020454 | 2014-02-21 | ||
KR1020140020454A KR20150099646A (en) | 2014-02-21 | 2014-02-21 | Data acquisition system and Data acquisition method for testing of wind turbine blade |
PCT/KR2015/001714 WO2015126203A2 (en) | 2014-02-21 | 2015-02-23 | Data acquisition system and data acquisition method for testing of wind turbine blade |
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CN106662515B true CN106662515B (en) | 2019-12-17 |
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CN201580007976.4A Active CN106662515B (en) | 2014-02-21 | 2015-02-23 | Data acquisition system and data acquisition method for testing wind turbine blades |
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DK179018B1 (en) * | 2016-03-14 | 2017-08-21 | Ventus Eng Gmbh | Method of condition monitoring one or more wind turbines and parts thereof and performing instant alarm when needed |
CN106097819A (en) * | 2016-07-31 | 2016-11-09 | 重庆交通大学 | Bridge for experimental teaching emulates detection method and system |
CN106409044A (en) * | 2016-07-31 | 2017-02-15 | 重庆交通大学 | Bridge monitoring teaching system based on designable bridge model |
CN108776102A (en) * | 2018-05-17 | 2018-11-09 | 余姚市振大塑胶有限公司 | Air-conditioning the wind wheel automatic pulling force check meter of step department and its method of inspection |
DE102018121249A1 (en) * | 2018-08-30 | 2020-03-05 | Wobben Properties Gmbh | Rotor blade for a wind turbine and wind turbine |
ES2937739T3 (en) * | 2019-10-09 | 2023-03-30 | Siemens Gamesa Renewable Energy As | Rotor blade fatigue test |
CN114543882B (en) * | 2022-02-23 | 2024-07-09 | 湖南联诚轨道装备有限公司 | Test design testing device and method for sawtooth centrifugal impeller of low-noise cooling system |
CN114659775B (en) * | 2022-03-31 | 2024-05-10 | 哈尔滨工业大学 | Static strength test method and stretching device for rotary structural member of aero-engine |
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KR20110078999A (en) * | 2009-12-31 | 2011-07-07 | 한국항공우주연구원 | Measurement apparatus of aerodynamic load for rotor blade and calibration method of the same |
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CA2653351A1 (en) * | 2008-03-28 | 2009-09-28 | Insensys Limited | Wind turbine monitoring |
KR101139881B1 (en) * | 2010-01-25 | 2012-05-02 | 경남정보대학교 산학협력단 | Remote control system of structure |
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CN101495747A (en) * | 2006-08-01 | 2009-07-29 | 再生动力系统股份公司 | Calibration method |
KR20110078999A (en) * | 2009-12-31 | 2011-07-07 | 한국항공우주연구원 | Measurement apparatus of aerodynamic load for rotor blade and calibration method of the same |
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WO2015126203A3 (en) | 2017-05-04 |
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