Device type automatic detection method and device for wind power blade web die assembly seam

Through the automatic detection method of web clamping joint of wind power blades, the laser ranging sensor and B-spline curve fitting are used to solve the problem of complex measurement and poor accuracy in the existing technology, and efficient and accurate web clamping is achieved The die joint inspection improves the production efficiency and quality of the blade.

CN119146880AActive Publication Date: 2024-12-17YANSHAN UNIV +1

Patent Information

Application Number
CN202411293937.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-14
Publication Date
2024-12-17
Estimated Expiration
2044-09-14

AI Technical Summary

Technical Problem

The existing wind power blade web clamping joint measurement methods are complex, time-consuming and poor in accuracy, which affects the production efficiency and quality of the blade.

Method used

Design an automatic detection method for the web clamping joint of the wind power blade by installing a second space detection device and a reference calibration device at the web mounting position of the blade, and use a laser ranging sensor and a walking mechanism to measure the inner cavity line of the blade. Calculate the inner cavity height of the web after the mold clamping, and use the B-spline curve fitting formula to determine the web profile curve to achieve automatic detection.

Benefits of technology

The measurement process is simplified, the measurement efficiency and accuracy are improved, and the inner cavity line size measurement of all web installation positions can be completed without installing webs. It is suitable for the detection of multiple webs and is suitable for blades of different sizes.

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Abstract

The invention belongs to the technical field of wind power blade detection, and particularly relates to a device-based automatic wind power blade web mold closing seam detection method and equipment thereof.The device comprises a reference calibration device, a first space detection device and a second space detection device, and the second space detection device is installed at the web installation position of a blade bottom space area; the displacement of the upper cylindrical pin and the lower cylindrical pin relative to the initial position is measured, the inner cavity molded line of the web installation position of the area near the blade bottom after die assembly of the wind power blade is calculated, the reference calibration device is installed at the inlet of the die assembly blade, and meanwhile the first space detection device is arranged above the reference calibration device. The walking mechanism is used for driving the laser distance measuring sensor to measure the inner cavity molded lines at the web mounting positions in the area near the blade top, the inner cavity molded lines of the multiple webs are detected at the same time, high applicability is achieved, the webs do not need to be mounted in the detection operation, and generally, size measurement of the inner cavity molded lines at all the web mounting positions can be completed only through one-time mold closing; the measurement efficiency is improved.
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Description

Technical Field

[0001] The present invention belongs to the technical field of wind turbine blade detection, and in particular relates to an automatic detection method and equipment for a web plate mold seam of a wind turbine blade. Background Art

[0002] Wind energy is a clean and renewable energy source. With the rapid development of wind power generation technology, the forming technology of wind turbine blades has become more and more mature. Wind turbine blades are generally composed of upper and lower shells, two main beam webs in the middle, an auxiliary beam web and a trailing edge beam web at the edge. As an important supporting structure for the two halves of the blade shell, the bonding process of the web is the most important link in the manufacturing of the blade. The manufacturing quality of the web is directly related to the structural safety of the entire blade. However, under the combined effect of various factors such as mold deformation, hydraulic flip instability, installation deviation, vacuum pressure difference, resin content difference, etc., there will be a certain local deviation between the theoretically calculated web profile size and the actual installation size. This causes the mold seam size between the web and the blade to exceed the standard of 6±4mm, causing the adhesive layer to be too thin or too thick, thus affecting the structural strength and service life of the blade.

[0003] The existing web plate mold seam measurement method mainly involves filling plasticine at the web plate installation location of the shell, squeezing the plasticine after installing the web plate, measuring the thickness of the plasticine after squeezing, judging whether the web plate bonding gap meets the requirements based on the plasticine data, and providing a basis for subsequent web plate profile adjustment. However, the operation process of this measurement method is complicated and time-consuming, which affects the blade production efficiency. At the same time, the accuracy is poor, which is not conducive to improving the production quality of the blade.

[0004] Therefore, it is very necessary to design an automatic detection method and equipment for the web mold seam of wind turbine blades to solve the shortcomings of existing measurement methods, such as complex operation process and poor measurement result accuracy. Summary of the invention

[0005] In order to solve the deficiencies of the above-mentioned prior art, the present invention provides an automatic detection method and equipment for the web mold seam of a wind turbine blade by installing a second space detection device at the web installation position in the space area near the blade bottom, measuring the displacement of the upper cylindrical pin and the lower cylindrical pin compared to the initial position, and calculating the inner cavity height of the wind turbine blade after mold closing, and installing a reference calibration device at the entrance of the molded blade. At the same time, the first space detection device is arranged above the reference calibration device, and the walking mechanism is used to drive the laser ranging sensor to measure the inner cavity profile line of the web installation position in the area near the blade top. The whole process is convenient to operate, and there is no need to install the web. The inner cavity profile line size measurement of all web installation positions can be completed by only one mold closing, thereby improving the measurement efficiency.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] The present invention provides a device-based wind turbine blade web plate die seam automatic detection method, which comprises the following steps:

[0008] S1. A pair of wind turbine blades that have been processed are installed with a reference calibration device at the entrance of the molded blades. The working surface of the movable platform is adjusted to be parallel to the horizontal plane by a level meter. The laser pointer is arranged according to the web spacing. The height of the movable platform is determined by the laser pointer, and the laser beam is adjusted to point to the extension direction of the web.

[0009] S2, at the web installation position of the blade ventral space area at the bottom of the blade, arrange the second space detection device at a certain interval a along the length direction of the blade, install the first space detection device in the blade back space area of ​​the molded blade top, and adjust the track base so that the working surface of the track and the working surface of the movable platform are in the same plane and parallel to the laser beam pointing of the laser pointer;

[0010] S3, the pair of wind turbine blades are assembled into a molded blade, and at this time, the upper cylindrical pin and the lower cylindrical pin in the second space detection device are relatively displaced under the action of the inner cavity of the wind turbine blade;

[0011] S4, the first space detection device starts measuring, starts the walking mechanism, drives the laser distance sensor and drags the pull rope of the pull wire sensor forward, and starts the laser distance sensor at a certain interval a to measure the height data X from the working surface of the track to the inner cavity surface of the blade n1 and X n2 , where n = 1, 2, ..., is the number of the web, X n1 is the height of the nth web from the working surface of the track to the upper surface of the blade cavity at the measuring position, X n2 To measure the height of the nth web from the working surface of the track to the lower surface of the blade cavity at the measuring position, M data are measured at each web installation position;

[0012] S5. After the first space detection device completes the detection, the molded blade is opened, and the displacement of each upper cylindrical pin and lower cylindrical pin in the second space detection device compared to the initial position is measured, and the inner cavity height at the corresponding position after the wind turbine blade is molded is calculated. The data X of the space area near the blade bottom and the blade top obtained by the measurement is used. n1 and X n2 , the contour curves of each web of the wind turbine blade after mold closing are calculated by the k-order B-spline curve fitting formula:

[0013]

[0014] in: and are the curve fitting values ​​of the upper and lower surfaces of the blade cavity of the nth web under the u coordinate, Xn1 (i) and X n2 (i) are the measured height data of the upper and lower surfaces of the blade cavity of the nth web, N i,k (u)(i=1,2,...,M) is the value of the k-order B-spline basis function with sequence number i at parameter u, and its expression is:

[0015]

[0016] S6. Compare the contour curves of each web after the wind turbine blade is molded with the actual web outer contour curve to obtain the gap value of the web mold seam.

[0017] According to a second aspect of the present invention, there is provided an automatic detection device for the web mold seam of a wind turbine blade, which includes an automatic detection method for the web mold seam of a wind turbine blade, and includes a reference calibration device, a first space detection device, and a second space detection device. The reference calibration device is arranged at the entrance of the molded blade, the first space detection device is installed on the reference calibration device, and the second space detection device is directly installed at the web installation position in the wind turbine blade; the reference calibration device includes a fixed frame, a movable platform, a laser pointer and a level meter, the movable platform is arranged above the fixed frame, the laser pointer is sequentially installed above the movable platform along the position of the blade web, and the level meter is arranged above the movable platform ; The first space detection device includes a track base, a track, a wire sensor, a walking mechanism and a laser ranging sensor. The track base is arranged in the inner cavity of the mold blade, the track is installed above the track base, the walking mechanism is arranged on the track, the laser ranging sensor is installed on the walking mechanism in sequence along the position of the blade web, the wire sensor is installed at the starting end of the track, and the end of the wire sensor is fixed on the walking mechanism; The second space detection device includes a fixed frame, an upper cylindrical pin and a lower cylindrical pin. The upper cylindrical pin and the lower cylindrical pin are respectively arranged at both ends of the fixed frame, and the axes of the upper cylindrical pin and the lower cylindrical pin are perpendicular to the horizontal plane and are collinear in space.

[0018] Preferably, the number of laser pointers above the movable platform is the same as the number of webs in the wind turbine blade, the spacing between the laser pointers is consistent with the spacing between the webs in the wind turbine blade, and the laser pointing direction of the laser pointer coincides with the extension direction of the web.

[0019] Preferably, the number of laser ranging sensors above the walking mechanism is the same as the number of webs in the top space area inside the wind turbine blade, and the spacing between the laser ranging sensors is consistent with the spacing between the webs in the top space of the wind turbine blade.

[0020] Preferably, the laser ranging sensors are arranged symmetrically up and down in the walking mechanism, the light beam of the laser ranging sensor arranged at the top points vertically upward, and the light beam of the laser ranging sensor arranged at the bottom points vertically downward.

[0021] Preferably, the friction force between the upper cylindrical pin and the lower cylindrical pin and the fixed frame is respectively greater than the self-weight of the cylindrical pin, and under the action of external force, the cylindrical pin can move along its own axial direction.

[0022] Preferably, in the initial position, the end position of the upper cylindrical pin exceeds the contacted upper surface of the blade inner cavity, and the end position of the lower cylindrical pin exceeds the contacted lower surface of the blade inner cavity.

[0023] Preferably, the height of the movable platform in the reference calibration device is consistent with the height of the track in the first space detection device.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] (1) The device-based wind turbine blade web mold seam automatic detection equipment of the present invention has a simple structure and is easy to operate. It is not necessary to install the web during measurement. Only one mold closing is required to complete the measurement of the inner cavity mold line dimensions of all web installation positions, thereby greatly improving work efficiency.

[0026] (2) The device for automatically detecting the mold seam of the web of a wind turbine blade according to the present invention comprises a first space detection device and a second space detection device, and has strong applicability and can detect the inner cavity mold lines of multiple webs at the same time; at the same time, the working plane of the movable platform in the reference calibration device and the working plane of the track in the first space detection device can be adjusted to adapt to wind turbine blades of different sizes.

[0027] (3) The device-based wind turbine blade web mold seam automatic detection equipment of the present invention utilizes the laser pointer of the reference calibration device to perform reference positioning on the first space detection device and the second space detection device, and locates the measurement position of the laser ranging sensor through the wire sensor, thereby improving the accuracy of the measurement result. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the process of the automatic detection method of the web mold seam of a wind turbine blade according to the present invention;

[0029] Figure 2 It is a schematic diagram of the overall composition of the device-based wind turbine blade web die seam automatic detection equipment of the present invention;

[0030] Figure 3 This is a simplified structural diagram of the reference calibration device of the automatic detection equipment for the web mold seam of wind turbine blades of the present invention;

[0031] Figure 4 This is a schematic structural diagram of the first space detection device of the automatic detection equipment for the web mold seam of wind turbine blades of the present invention;

[0032] Figure 5 This is a simplified structural diagram of the second space detection device of the automatic detection equipment for the web mold seam of wind turbine blades of the present invention.

[0033] Main reference numerals:

[0034] 1-fixed frame, 2-movable platform, 3-laser pointer, 4-level, 5-pull wire sensor, 6-laser distance sensor, 7-travel mechanism, 8-track, 9-track base, 10-fixed frame, 11-upper cylindrical pin, 12-lower cylindrical pin, 13-mold clamping blade. DETAILED DESCRIPTION

[0035] In order to fully describe the technical content, objectives and effects of the present invention, the following will be described in detail with reference to the accompanying drawings.

[0036] The present invention provides a device-based wind turbine blade web plate die seam automatic detection method, the process of which is as follows: Figure 1 As shown, the specific steps include:

[0037] S1. A pair of wind turbine blades that have been processed are installed at the entrance of the molded blade 13. The working surface of the movable platform 2 is adjusted to be parallel to the horizontal plane by the level meter 4. The laser pointing instrument 3 is arranged according to the web spacing. The height of the movable platform 2 is determined by the laser pointing instrument 3, and the laser beam is adjusted to point to the extension direction of the web;

[0038] S2, at the web installation position of the blade ventral space area at the bottom of the blade, a second space detection device is arranged at a certain interval a along the length direction of the blade, and a first space detection device is installed in the blade back space area at the top of the molded blade 13, and the track base 9 is adjusted so that the working surface of the track 8 is in the same plane as the working surface of the movable platform 2 and is parallel to the laser beam pointing of the laser pointing instrument 3;

[0039] S3, the pair of wind turbine blades are assembled into a molded blade 13, at which time the upper cylindrical pin 11 and the lower cylindrical pin 12 in the second space detection device are relatively displaced under the action of the inner cavity of the wind turbine blade;

[0040] S4, the first space detection device starts measuring, starts the walking mechanism 7, the walking mechanism 7 drives the laser distance sensor 6 and drags the pull rope of the pull wire sensor 5 to move forward, and starts the laser distance sensor 6 at a certain interval a to measure the height data X from the working surface of the track 8 to the inner cavity surface of the blade n1 and X n2 , where n = 1, 2, ..., is the number of the web, Xn1 is the height of the nth web from the working surface of the track 8 to the upper surface of the blade cavity at the measuring position, X n2 To measure the height of the nth web from the working surface of the track 8 to the lower surface of the blade cavity at the measuring position, M data are measured at each web installation position;

[0041] S5. After the first space detection device completes the detection, the molded blade 13 is opened, and the displacement of each upper cylindrical pin 11 and lower cylindrical pin 12 in the second space detection device compared with the initial position is measured, and the inner cavity height at the corresponding position after the wind turbine blade is molded is calculated. The data X of the space area near the blade bottom and the blade top obtained by the measurement is used. n1 and X n2 , the contour curves of each web of the wind turbine blade after mold closing are calculated by the k-order B-spline curve fitting formula:

[0042]

[0043] in: and are the curve fitting values ​​of the upper and lower surfaces of the blade cavity of the nth web under the u coordinate, X n1 (i) and X n2 (i) are the measured height data of the upper and lower surfaces of the blade cavity of the nth web, N i,k (u)(i=1,2,...,M) is the value of the k-order B-spline basis function with sequence number i at parameter u, and its expression is:

[0044]

[0045] S6. Compare the contour curves of each web after the wind turbine blade is molded with the actual web outer contour curve to obtain the gap value of the web mold seam.

[0046] Automatic detection equipment for the web seam of wind turbine blades, such as Figure 2 As shown, it includes a reference calibration device, a first space detection device and a second space detection device. The reference calibration device is arranged at the entrance of the molded blade 13, the first space detection device is installed on the reference calibration device, and the second space detection device is directly installed at the web installation position of the space area near the bottom of the wind turbine blade. The reference calibration device provides precise positioning for the first space detection device and the second space detection device to ensure the accuracy of the measurement data.

[0047] like Figure 3As shown, the reference calibration device includes a fixed frame 1, a movable platform 2, a laser pointer 3 and a level 4. The movable platform 2 is arranged above the fixed frame 1, and the movable platform 2 can move in the vertical direction relative to the fixed frame 1. The laser pointer 3 is installed above the movable platform 2 in sequence along the position of the blade web. The number of laser pointers 3 is the same as the number of webs in the wind turbine blade. The spacing of the laser pointers 3 is consistent with the spacing of each web in the wind turbine blade, and the laser pointing direction of the laser pointer 3 coincides with the extension direction of the web. The laser pointer 3 can ensure that the walking mechanism 7 moves accurately along the extension direction of the web. The level 4 is arranged above the movable platform 2, and the level 4 is used to adjust the horizontality of the movable platform 2.

[0048] like Figure 4 As shown, the first space detection device includes a track base 9, a track 8, a wire sensor 5, a walking mechanism 7 and a laser distance sensor 6. The track base 9 is arranged in the inner cavity of the molded blade 13, and the track 8 is installed above the track base 9. The track base 9 can drive the track 8 and the sensor above the track 8 to move in the vertical direction. The height of the track 8 in the first space detection device is consistent with the height of the movable platform 2 in the reference calibration device. The walking mechanism 7 is arranged on the track 8. The laser distance sensor 6 is sequentially installed on the walking mechanism 7 along the position of the blade web. The number of laser distance sensors 6 is the same as the number of webs in the blade top space area inside the wind turbine blade. Similarly, the spacing of the laser ranging sensors 6 is consistent with the web spacing in the space area near the top of the wind turbine blade. The laser ranging sensors 6 are arranged symmetrically in the upper and lower parts of the traveling mechanism 7. The light beam of the laser ranging sensor 6 arranged at the top points vertically upward, and is used to measure the upper surface of the inner cavity of the upper wind turbine blade. The light beam of the laser ranging sensor 6 arranged at the bottom points vertically downward, and is used to measure the lower surface of the inner cavity of the lower wind turbine blade. The light beams emitted by the upper and lower laser ranging sensors 6 are collinear in space. The wire sensor 5 is installed at the starting end of the track 8, and the end of the rope of the wire sensor 5 is fixed on the traveling mechanism 7 to provide accurate positioning and ranging for the traveling mechanism 7.

[0049] like Figure 5 As shown, the second space detection device includes a fixed frame 10, an upper cylindrical pin 11 and a lower cylindrical pin 12. The upper cylindrical pin 11 and the lower cylindrical pin 12 are respectively arranged at two ends of the fixed frame 10. The axes of the upper cylindrical pin 11 and the lower cylindrical pin 12 are perpendicular to the horizontal plane and are collinear in space. The friction force between the upper cylindrical pin 11, the lower cylindrical pin 12 and the fixed frame 10 is greater than the self-weight of the cylindrical pin. Under the action of external force, the cylindrical pin can move along its own axial direction.

[0050] Furthermore, in the initial position, the end position of the upper cylindrical pin 11 exceeds the contacted upper surface of the blade inner cavity, and the end position of the lower cylindrical pin 12 exceeds the contacted lower surface of the blade inner cavity.

[0051] The embodiments described above are only descriptions of the preferred implementation modes of the present invention, and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all fall within the protection scope determined by the claims of the present invention.

Claims

1. An automatic detection method for the die seam of the web of a wind turbine blade. It is characterized in that It includes the following steps: S1. Install a reference calibration device on a pair of processed wind turbine blades at the entrance of the mold blade, adjust the working surface of the movable platform to be parallel to the horizontal plane through a level meter, arrange the laser pointer according to the web spacing, determine the height of the movable platform through the laser pointer, and adjust the laser beam to point to the extension direction of the web; S2, at the web installation position of the blade ventral space area at the bottom of the blade, arrange the second space detection device at a certain interval a along the length direction of the blade, install the first space detection device in the blade back space area of ​​the molded blade top, and adjust the track base so that the working surface of the track and the working surface of the movable platform are in the same plane and parallel to the laser beam pointing of the laser pointer; S3, the pair of wind turbine blades are assembled into a molded blade, and at this time, the upper cylindrical pin and the lower cylindrical pin in the second space detection device are relatively displaced under the action of the inner cavity of the wind turbine blade; S4, the first space detection device starts measuring, starts the walking mechanism, drives the laser distance sensor and drags the pull rope of the pull wire sensor forward, and starts the laser distance sensor at a certain interval a to measure the height data X from the working surface of the track to the inner cavity surface of the blade n1 and X n2 , where n = 1, 2, ..., is the number of the web, X n1 is the height of the nth web from the working surface of the track to the upper surface of the blade cavity at the measuring position, X n2 To measure the height of the nth web from the working surface of the track to the lower surface of the blade cavity at the measuring position, M data are measured at each web installation position; S5. After the first space detection device completes the detection, the molded blade is opened, and the displacement of each upper cylindrical pin and lower cylindrical pin in the second space detection device compared to the initial position is measured, and the inner cavity height at the corresponding position after the wind turbine blade is molded is calculated. The measured data X of the blade bottom ventral space area and the blade top back space area are used to calculate the inner cavity height of the corresponding position of the wind turbine blade after the mold is closed. n1 and X n2 , the contour curves of each web of the wind turbine blade after mold closing are calculated by the k-order B-spline curve fitting formula: in: and are the curve fitting values ​​of the upper and lower surfaces of the blade cavity of the nth web under the u coordinate, X n1 (i) and X n2 (i) are the measured height data of the upper and lower surfaces of the blade cavity of the nth web, N i,k (u)(i=1,2,...,M) is the value of the k-order B-spline basis function with sequence number i at parameter u, and its expression is: S6. Compare the contour curves of each web after the wind turbine blade is molded with the actual web outer contour curve to obtain the gap value of the web mold seam.

2. An automatic detection device for the web mold seam of a wind turbine blade according to the automatic detection method for the web mold seam of a wind turbine blade as described in claim 1, It is characterized in that It includes a reference calibration device, a first space detection device and a second space detection device, wherein the reference calibration device is arranged at the entrance of the molded blade, the first space detection device is installed on the reference calibration device, and the second space detection device is directly installed at the web installation position in the wind turbine blade; The reference calibration device comprises a fixed frame, a movable platform, a laser pointer and a level meter, wherein the movable platform is arranged above the fixed frame, the laser pointer is sequentially installed above the movable platform along the position of the blade web, and the level meter is arranged above the movable platform; The first space detection device comprises a track base, a track, a wire sensor, a walking mechanism and a laser distance sensor, wherein the track base is arranged in the inner cavity of the mold clamping blade, the track is installed above the track base, the walking mechanism is arranged on the track, the laser distance sensor is sequentially installed on the walking mechanism along the position of the blade web, the wire sensor is installed at the starting end of the track, and the end of the wire rope of the wire sensor is fixed on the walking mechanism; The second space detection device includes a fixed frame, an upper cylindrical pin and a lower cylindrical pin, wherein the upper cylindrical pin and the lower cylindrical pin are respectively arranged at two ends of the fixed frame, and the axes of the upper cylindrical pin and the lower cylindrical pin are perpendicular to the horizontal plane and are collinear in space.

3. The automatic detection device for the die seam of the web of a wind turbine blade according to claim 2, It is characterized in that The number of laser pointers above the movable platform is the same as the number of webs in the wind turbine blade, the spacing between the laser pointers is consistent with the spacing between the webs in the wind turbine blade, and the laser pointing direction of the laser pointer coincides with the extension direction of the web.

4. The automatic detection device for the web mold seam of wind turbine blades according to claim 2, It is characterized in that The number of the laser distance measuring sensors above the walking mechanism is the same as the number of the webs in the blade top space area inside the wind turbine blade, and the spacing of the laser distance measuring sensors is consistent with the spacing of the webs in the blade top space of the wind turbine blade.

5. The automatic detection device for the die seam of the web of a wind turbine blade according to claim 2, It is characterized in that The laser distance measuring sensors are arranged symmetrically up and down in the walking mechanism, the light beam of the laser distance measuring sensor arranged at the top points vertically upward, and the light beam of the laser distance measuring sensor arranged at the bottom points vertically downward.

6. The automatic detection device for the die seam of the web of a wind turbine blade according to claim 2, It is characterized in that The friction force between the upper cylindrical pin and the lower cylindrical pin and the fixed frame is respectively greater than the self-weight of the cylindrical pin. Under the action of external force, the cylindrical pin can move along its own axial direction.

7. The automatic detection device for the web mold seam of a wind turbine blade according to claim 2, It is characterized in that In the initial position, the end position of the upper cylindrical pin exceeds the contacted upper surface of the blade inner cavity, and the end position of the lower cylindrical pin exceeds the contacted lower surface of the blade inner cavity.

8. The automatic detection device for the web mold seam of wind turbine blades according to claim 2, It is characterized in that The height of the movable platform in the reference calibration device is consistent with the height of the track in the first space detection device.

Citation Information

Patent Citations

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