Method, device and equipment for detecting regional quality of movable guide vane shaft sleeve

Abstract

The invention provides a movable guide vane shaft sleeve area quality detection method, device and equipment, and belongs to the technical field of movable guide vane shaft sleeve detection. The method comprises the following steps: acquiring a target detection condition parameter; wherein the target detection condition parameters are obtained by optimizing detection condition parameters of a hydroelectric generating set movable guide vane simulation model determined by a simulation model constructed based on the hydroelectric generating set movable guide vane; and controlling the detection tool device to perform phased array detection on the shaft sleeve area of the movable guide vane of the hydroelectric generating set according to the target detection condition parameters, and identifying defects of the shaft sleeve area of the movable guide vane of the hydroelectric generating set. By optimizing the simulation model and the detection parameters, the precision, efficiency and reliability of shaft sleeve defect detection are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of movable guide vane shaft sleeve detection, and in particular to a movable guide vane shaft sleeve area quality detection method, a movable guide vane shaft sleeve area quality detection device and an electronic device. Background Art

[0002] As a clean and renewable energy, hydropower plays an important role in the global energy structure. Hydropower generating units are the core equipment of hydropower stations. The safety and stability of their operation are directly related to the reliability and economy of the entire power system. As a key component of a hydropower generating unit, the guide vane is used to adjust the direction and flow of water to meet different load requirements. Therefore, defect detection of the guide vane is crucial to ensure the normal operation of the unit.

[0003] At present, phased array detection technology is widely used for defect detection of movable guide vanes of hydropower generators. This technology can perform a relatively comprehensive detection of movable guide vanes by setting different detection condition parameters, such as sound beam angle, focusing distance, etc. At the same time, in order to improve the accuracy and efficiency of detection, researchers have constructed a simulation model of movable guide vanes to simulate the detection process under different defect conditions, thereby guiding the setting of actual detection conditions.

[0004] However, the existing guide vane sleeve defect detection methods have the following problems: (1) The simulation model deviates from the actual detection conditions, resulting in unreasonable detection settings, which is prone to missed detection or false detection, affecting the accuracy of defect detection; (2) The simulation and actual detection are not closely integrated, and the guide vane sleeve defect parameters do not match the actual scenario; (3) There is a lack of closed-loop feedback, and the simulation model and detection process cannot be continuously optimized, which affects the reliability of defect detection.

[0005] In general, the existing guide vane sleeve defect detection methods have problems with the accuracy and reliability of defect detection due to the deviation between simulation and reality, loose integration and lack of closed-loop feedback. Summary of the invention

[0006] The purpose of the embodiments of the present invention is to provide a method, device and equipment for detecting the quality of a movable guide vane sleeve area to solve the above-mentioned problem.

[0007] In order to achieve the above object, an embodiment of the present invention provides a method for detecting defects in a movable guide vane sleeve region, comprising: Obtaining target detection condition parameters; wherein the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane; The control detection tooling device performs phased array detection on the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set according to the target detection condition parameters to identify defects in the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set.

[0008] Optionally, the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane, including: S110, constructing a simulation model of movable guide vanes of a hydroelectric generator set; S120, determining sleeve defect parameters of a simulation model of movable guide vanes of a hydroelectric generator set; S130, determining the detection condition parameters of the hydraulic generator set movable guide vane simulation model according to the sleeve defect parameters of the hydraulic generator set movable guide vane simulation model; S140, controlling the detection tooling device to perform phased array detection on the sleeve area of ​​the movable guide vane of the test hydraulic generator set according to the detection condition parameters of the hydraulic generator set movable guide vane simulation model, and identifying defects in the sleeve area of ​​the test hydraulic generator set movable guide vane; wherein the test hydraulic generator set movable guide vane and the hydraulic generator set movable guide vane simulation model have the same sleeve defect parameters; S150, if it is identified that the defect of the movable guide vane of the tested hydroelectric generator set does not exist, return to step S130; S160: If it is identified that defects exist in the movable guide vanes of the tested hydroelectric generator set, the detection condition parameters of the simulation model of the movable guide vanes of the hydroelectric generator set are used as target detection condition parameters.

[0009] Optionally, the sleeve defect parameters include: type, location, shape, size and direction of the sleeve defect; The detection condition parameters include: the probe position of the detection fixture, the probe model, the ultrasonic frequency, the number of wafers, the wafer spacing, the wedge model and the incident angle.

[0010] Optionally, the detection tooling device includes: a base, a probe, a guide rod, a pull rod, and a sleeve area of ​​a movable guide vane; A plurality of magnets are provided at the bottom of the base, and the plurality of magnets are distributed in a linear array. The base is fixed to the shaft sleeve area of ​​the movable guide vane through the magnets, the guide rod is fixed to the base, the probe is slidably fitted on the guide rod and slidably fitted with the shaft sleeve area of ​​the movable guide vane, the pull rod is slidably fitted on the base, and one end is fixed to the probe.

[0011] Optionally, positioning brackets are symmetrically provided on both sides of the probe, the probe is fixedly connected to the two positioning brackets, and the bottom surface of the probe is lower than the bottom surface of the positioning brackets.

[0012] Optionally, a guide sleeve is fixedly provided between the positioning brackets, the guide sleeve is slidably fitted on the guide rod, and the positioning bracket is slidably fitted on the guide rod through the guide sleeve.

[0013] Optionally, the base includes a fixed plate, multiple magnets are mounted on the fixed plate, side plates are symmetrically provided at both ends of the top of the fixed plate, both ends of the guide rod are respectively fixed to the two side plates, and both side plates are slidably fitted with pull rods.

[0014] Optionally, one end of the pull rod is fixed on two sides of the probe respectively, and the two pull rods are slidably matched on the two side plates respectively.

[0015] In a second aspect of an embodiment of the present invention, a device for detecting defects in a movable guide vane sleeve region is provided, comprising: A parameter acquisition module is used to acquire target detection condition parameters; wherein the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane; The defect recognition module is used to control the detection tooling device to perform phased array detection on the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set according to the target detection condition parameters, so as to identify the defects in the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set.

[0016] In a third aspect of the embodiments of the present invention, an electronic device is provided, including: a processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the above-mentioned movable guide vane sleeve area defect detection method is executed.

[0017] Beneficial effects of the present invention: (1) Improving detection accuracy: By building a simulation model and optimizing the detection condition parameters, the actual detection environment can be simulated more accurately, thereby improving the accuracy and reliability of detection.

[0018] (2) Enhanced detection efficiency: Phased array detection technology can quickly perform electronic scanning and focusing, which can greatly improve detection efficiency compared to traditional manual or mechanical scanning methods.

[0019] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 It is a schematic flow chart of a method for detecting defects in a movable guide vane sleeve region provided by an embodiment of the present invention; Figure 2 is a schematic flow chart of a method for detecting defects in a movable guide vane sleeve region provided by another embodiment of the present invention; Figure 3 is a schematic structural diagram of a detection tooling device provided in an embodiment of the present invention; Figure 4 It is a schematic diagram of the structure of a movable guide vane sleeve area defect detection device provided in an embodiment of the present invention.

[0021] Description of Reference Numerals 1-base; 2-probe; 3-guide rod; 4-pull rod; 5-positioning bracket; 6-guide sleeve; 7-magnet, 11-fixed plate; 12-side plate. DETAILED DESCRIPTION

[0022] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0024] In the description of the embodiments of the present application, the technical terms "first", "second", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0025] Embodiment 1 Please refer to Figure 1 , Figure 1 : is a flow chart of a method for detecting defects in a movable guide vane sleeve area provided by an embodiment of the present invention, the method comprising: S100, obtaining target detection condition parameters; wherein the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane; In one embodiment, if Figure 2 As shown, the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane, including: S110, constructing a simulation model of movable guide vanes of a hydroelectric generator set; The movable guide vane of a hydroelectric generator set is mainly composed of a blade, a rotating shaft, a sleeve, a sealing device, a connecting rod mechanism and a servomotor. The blade is generally an airfoil or twisted surface with a smooth and wear-resistant surface, which is used to guide the water flow to enter the runner smoothly; the rotating shaft connects the blade with the external mechanism, and has sufficient strength and rigidity to enable the movable guide vane to rotate around the shaft; the sleeve is installed on the top cover and the bottom ring to provide support and positioning for the rotating shaft and ensure good lubrication; the sealing device is located at the gap between the movable guide vane and the top cover, the bottom ring and the adjacent guide vane to prevent water leakage; the connecting rod mechanism connects the movable guide vane and the servomotor to convert the linear motion of the servomotor into the rotational motion of the movable guide vane; the servomotor, as a power source, drives the connecting rod mechanism through its own piston motion, thereby accurately controlling the opening of the movable guide vane.

[0026] In one embodiment, step S110 specifically includes the following steps: Step 1 (Preparation before scanning): Equipment selection: According to the size and accuracy requirements of the movable guide vanes, select a suitable 3D laser scanner, such as TrackScan-Sharp from ScanTech, which has a large measurement range and high accuracy and is suitable for large workpiece inspection.

[0027] On-site investigation: Understand the scanning site environment, clean up debris, ensure the safety of the scanning area, reasonably plan the scanning path and station location, and ensure that there is no obstruction between the scanner and the movable guide vane.

[0028] Step 2 (data collection): Set scanning parameters: according to the material and surface characteristics of the movable guide vane, set the laser power, scanning resolution, point spacing and other parameters to obtain clear and accurate point cloud data.

[0029] Perform multi-view scanning: Scan the movable guide vanes from different angles to ensure full coverage and a certain overlap between adjacent scanning areas to facilitate subsequent data stitching.

[0030] Step 3 (data processing): Point cloud stitching: Use the scanner software or professional point cloud processing software, such as Geomagic Control X, to stitch based on marker points or features to obtain a complete point cloud model.

[0031] De-noising filtering: Use software algorithms to remove noise points and abnormal points in point cloud data to ensure data quality.

[0032] Data reduction: Reduce the amount of data and improve processing efficiency without affecting the accuracy of the model.

[0033] Step 4 (model reconstruction): Surface fitting: Select a suitable surface fitting algorithm to convert point cloud data into a continuous surface model, such as using NURBS surface fitting to make the model smoother and more accurate.

[0034] Solid modeling: In the 3D modeling software, the surface model is converted into a solid model, and detailed design and improvement are carried out. Dimensioning, tolerance and other information are added to obtain an accurate 3D model of the movable guide vane.

[0035] Step 5 (model optimization and verification): Accuracy check: Compare the reconstructed model with the design drawing or the actual object to check the size accuracy and shape accuracy, and make adjustments and optimizations for any discrepancies.

[0036] Performance analysis: Import the model into relevant analysis software to conduct performance analysis such as fluid mechanics and structural mechanics to verify whether it meets the design requirements.

[0037] S120, determining sleeve defect parameters of a simulation model of movable guide vanes of a hydroelectric generator set; In one embodiment, the movable guide vane sleeve defect parameters include: the type, position, shape, size and direction of the movable guide vane sleeve defect.

[0038] The type of guide vane sleeve defect refers to the nature or category of the defect, such as cracks, wear, corrosion, deformation, etc. Each type may reflect a different damage mechanism or cause.

[0039] The location of the guide vane sleeve defect refers to the specific position of the defect on the sleeve, such as whether the defect is located on the inside, outside, top, middle or a specific angle position of the sleeve.

[0040] The shape of the guide vane sleeve defect refers to the external features of the defect, such as linear cracks, circular wear pits, flaking, irregular shapes, etc.

[0041] The size of the guide vane sleeve defect refers to the size of the defect, usually including measurements such as length, width, and depth. The size can help determine the severity of the defect and the urgency of treatment.

[0042] The direction of the guide vane sleeve defect refers to the direction in which the defect extends on the sleeve. For example, the crack may be longitudinal, transverse, oblique, or in a specific direction around the sleeve. The direction can help analyze the cause of the defect and predict its development trend.

[0043] In one embodiment, the simulation model of the movable guide vanes of the hydroelectric generator set further includes: the size, profile, elastic modulus, Poisson's ratio and density of the movable guide vanes.

[0044] The size of the movable guide vane refers to the geometric parameters of the movable guide vane such as length, width, thickness, etc.

[0045] The profile of the movable guide vane refers to the outer shape curve of the movable guide vane.

[0046] The elastic modulus of the movable guide vane refers to the ability of the material of the movable guide vane to resist deformation.

[0047] The Poisson's ratio of the movable guide vane refers to the ratio of the transverse to longitudinal strain of the movable guide vane material under uniaxial stress.

[0048] S130, determining the detection condition parameters of the hydraulic generator set movable guide vane simulation model according to the sleeve defect parameters of the hydraulic generator set movable guide vane simulation model; In one embodiment, the detection condition parameters include: the probe position of the detection tooling device, the probe model, the ultrasonic frequency, the number of wafers, the wafer spacing, the wedge model and the incident angle.

[0049] The probe position of the detection fixture refers to the specific installation position of the probe on the fixture. The correctness of the probe position is directly related to the quality of the detection signal and the accuracy of the detection result.

[0050] The probe model of the detection tooling device refers to the specifications and design type of the probe, which determines the performance parameters of the probe, such as frequency, size, shape, material, etc. These parameters affect the application range and detection capability of the probe.

[0051] The ultrasonic frequency of the detection tooling device refers to the frequency of the ultrasonic wave emitted by the ultrasonic probe when it is working, usually in megahertz (MHz). The high or low ultrasonic frequency affects the resolution and penetration ability of the detection.

[0052] The number of chips in the detection fixture refers to the number of piezoelectric crystals in the ultrasonic probe. The number of chips will affect the sensitivity and signal strength of the probe.

[0053] The chip spacing of the detection fixture refers to the distance between each piezoelectric chip in the probe. The chip spacing will affect the transmission and reception of ultrasonic waves, and thus affect the accuracy of the detection.

[0054] The wedge model of the testing fixture refers to the specific specifications and design of the wedge, which determines the propagation characteristics of the sound wave and the detection efficiency. The wedge is a device used in ultrasonic testing to effectively inject the sound wave into the material being tested.

[0055] The incident angle of the inspection fixture refers to the angle at which the ultrasonic wave enters the material being inspected from the probe through the wedge. The selection of the incident angle is crucial to the reception of the inspection signal and the identification of defects. Different incident angles are suitable for the inspection of different materials and thicknesses.

[0056] A specific implementation is given below to illustrate the method of determining each detection condition parameter: (1) Probe location: Determined based on the guide vane structure: First, the blade size and blade profile of the movable guide vane must be considered. For large guide vanes, in order to achieve comprehensive inspection, the guide vane surface needs to be divided into multiple inspection areas. For example, the guide vane can be divided into grid-like areas along the axial and circumferential directions, and the probe position is set on these grid nodes. For guide vane contours with complex surfaces, the probe position should be determined based on the curvature change of the surface, with an emphasis on areas with large curvature changes, as these areas are more prone to stress concentration and defects.

[0057] Determine based on defect location: If the possible location of the defect is known, such as at the root or edge of the guide vane and other vulnerable parts, the probe should be placed around these areas. For example, previous failure statistics show that cracks are prone to appear at the weld of the root of the guide vane, so the probe should be set near the root weld area first, and the probe position should be adjusted in the vertical direction according to the possible depth of the defect to ensure that the ultrasonic wave can effectively detect the defect.

[0058] (2) Probe model: Consider the detection accuracy requirements: If you need to detect tiny defects with high accuracy, such as pores or microcracks less than 1mm in size, you need to choose a high-resolution probe. This probe usually has a smaller chip size and a higher frequency response range. For situations where you only need to detect larger defects (such as defects greater than 5mm), you can choose a probe with a slightly lower resolution but a wider detection range.

[0059] Selection based on material properties: Select the probe based on the elastic modulus, Poisson's ratio, density and other properties of the guide vane material. For example, for materials with high elastic modulus and high density, ultrasonic waves attenuate quickly when propagating in them, so it is necessary to select a probe model with low sensitivity to signal attenuation. At the same time, the acoustic properties of the material will also affect the frequency response requirements of the probe. For example, some materials have weak absorption of ultrasonic waves at a specific frequency, so a probe with good response near this frequency can be selected.

[0060] (3) Ultrasonic frequency: Determined by defect size: Generally speaking, for smaller defects (such as less than 2mm), a higher ultrasonic frequency is required to improve the detection resolution. This is because high-frequency ultrasonic waves have a shorter wavelength and can more accurately distinguish small-sized defects. For example, when detecting 0.5mm microcracks, an ultrasonic frequency of more than 10MHz may be required. For larger defects (such as greater than 10mm), a lower frequency, such as 2-5MHz, can be used because low-frequency ultrasonic waves have better penetration ability and can detect defects in deeper parts of the guide vanes.

[0061] Consider the material attenuation characteristics: The degree of attenuation of the material to ultrasound is an important factor in selecting the frequency. Materials with high elastic modulus and high density usually have strong attenuation to ultrasound. In this case, in order to ensure that the ultrasound can effectively penetrate the guide vane and return a signal of sufficient strength, a lower frequency needs to be selected. For example, for a high-density alloy steel guide vane, it may be necessary to control the ultrasound frequency below 5MHz to reduce the impact of attenuation on detection.

[0062] (4) Number of chips: Determine in combination with the ultrasonic intensity requirement: If you need to increase the ultrasonic emission intensity to detect defects in deeper parts or to detect materials with strong attenuation, you need to increase the number of chips. For example, when the guide vane material has obvious attenuation of ultrasonic waves and you need to detect defects far away from the probe, increasing the number of chips can increase the ultrasonic emission power, so that the ultrasonic wave can effectively penetrate the material to reach the target area.

[0063] Consider detection resolution and focusing effect: The appropriate number of chips also helps to improve detection resolution and focusing effect. More chips can achieve better ultrasonic focusing through reasonable arrangement, so as to detect defects more accurately. For example, by using a phased array probe, by controlling the emission time and phase of multiple chips, ultrasonic focusing and beam scanning can be achieved, effectively improving detection accuracy.

[0064] (5) Chip spacing: To optimize ultrasonic focusing: the size of the chip spacing directly affects the focusing effect of the ultrasonic wave. The appropriate chip spacing can focus the ultrasonic wave to a specific depth area inside the guide vane, improving the detection capability of defects in this area. For example, when it is necessary to detect defects at a specific depth inside the guide vane (such as 50mm from the surface), by adjusting the chip spacing, according to the propagation characteristics and focusing principle of the ultrasonic wave, the ultrasonic wave forms a focused beam at this depth, thereby enhancing the detection signal.

[0065] Consider the frequency and material properties: High-frequency ultrasound requires a smaller chip spacing to achieve better focusing effect. At the same time, the acoustic properties of the material will also affect the choice of chip spacing. For materials with faster sound speeds, it may be necessary to increase the chip spacing appropriately to adapt to the propagation characteristics of ultrasound in the material and ensure the focusing effect.

[0066] (6) Wedge model: Adapt to the blade profile: The shape of the wedge should match the blade profile of the guide vane. For guide vanes with complex curved surfaces, special wedges are required, such as arc wedges or a combination of wedges with different curvatures, to ensure that the probe can fit closely to the guide vane surface. For example, at the tip of the guide vane, a wedge with a smaller curvature may be required, while at the root of the blade, a wedge with a larger curvature may be required, so that the probe can maintain good coupling on the entire guide vane surface.

[0067] Satisfy the incident angle requirements: The type of wedge is also related to the incident angle. Different wedges will change the incident angle of the ultrasonic wave entering the guide vane. According to the defect direction and the needs of the internal structure detection of the material, select a wedge that can provide a suitable incident angle. For example, when it is necessary to detect an internal crack that is at a certain angle to the guide vane surface, select a wedge that can make the ultrasonic wave incident on the crack surface at a suitable angle to enhance the reception of the reflected signal.

[0068] (7) Angle of incidence: Adjust according to the direction of the defect: If the direction of the defect is known, such as an inclined crack, the incident angle should be adjusted to enable the ultrasonic wave to be incident vertically or nearly vertically on the defect surface. This is because when the ultrasonic wave is incident vertically on the defect surface, the reflected signal is the strongest, which is conducive to detection. For example, for a crack with a 45° direction to the guide vane surface, it is necessary to adjust the incident angle to 45° through a wedge or other device so that the ultrasonic wave can effectively detect the crack.

[0069] Consider the internal structure of the material: When detecting defects such as grain boundaries and delamination inside the guide vane material, the choice of the incident angle should be determined according to the anisotropic properties of the material and the direction of the internal structure. Different crystal structure directions have different reflection and refraction characteristics for ultrasound. By adjusting the incident angle, ultrasound can better interact with the internal structure of the material and improve the detection effect.

[0070] S140, controlling the detection tooling device to perform phased array detection on the sleeve area of ​​the movable guide vane of the test hydraulic generator set according to the detection condition parameters of the hydraulic generator set movable guide vane simulation model, and identifying defects in the sleeve area of ​​the test hydraulic generator set movable guide vane; wherein the test hydraulic generator set movable guide vane and the hydraulic generator set movable guide vane simulation model have the same sleeve defect parameters; It should be noted that in the test of the movable guide vanes of the hydroelectric generator set, the simulation model of the movable guide vanes of the hydroelectric generator set will set the movable guide vane sleeve defect parameters based on theory and experience, covering defect type, size, location and other aspects. However, the design of the movable guide vane sleeve defect parameters of the hydraulic generator set movable guide vanes in the actual test is not arbitrary, but is carried out with reference to the defect parameters set by the simulation model, so as to ensure that the actual and simulated situations are similar and comparable, which is convenient for verifying the detection method and evaluating the detection results.

[0071] S150, if it is identified that the defect of the movable guide vane of the tested hydroelectric generator set does not exist, return to step S130; Specifically, if the defects of the movable guide vanes of the tested hydroelectric generator set cannot be identified, it means that the detection condition parameters of the movable guide vanes simulation model of the hydroelectric generator set are not accurate enough and need to be further optimized. Therefore, return to step S300 to redefine the detection condition parameters of the movable guide vanes simulation model of the hydroelectric generator set.

[0072] S160: If it is identified that defects exist in the movable guide vanes of the tested hydroelectric generator set, the detection condition parameters of the simulation model of the movable guide vanes of the hydroelectric generator set are used as target detection condition parameters.

[0073] S200, controlling the detection tooling device to perform phased array detection on the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set according to the target detection condition parameters, and identifying defects in the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set.

[0074] In one embodiment, if Figure 3 As shown, the detection tooling device includes: a base 1, a probe 2, a guide rod 3, a pull rod 4 and a sleeve area of ​​a movable guide vane; a plurality of magnets 7 are provided at the bottom of the base 1, and the plurality of magnets 7 are distributed in a linear array, the base 1 is fixed to the sleeve area of ​​the movable guide vane through the magnets 7, the guide rod 3 is fixed to the base 1, the probe 2 is slidably fitted on the guide rod 3, and is slidably fitted with the sleeve area of ​​the movable guide vane, the pull rod 4 is slidably fitted on the base 1, and one end is fixed to the probe 2.

[0075] In one embodiment, if Figure 3 As shown, positioning brackets 5 are symmetrically provided on both sides of the probe 2 , the probe 2 is fixedly connected to the two positioning brackets 5 , and the bottom surface of the probe 2 is lower than the bottom surface of the positioning brackets 5 .

[0076] In one embodiment, if Figure 3 As shown, a guide sleeve 6 is fixed between the positioning brackets 5 , and the guide sleeve 6 is slidably fitted on the guide rod 3 , and the positioning bracket 5 is slidably fitted on the guide rod 3 through the guide sleeve 6 .

[0077] In one embodiment, if Figure 3 As shown, the base 1 includes a fixed plate 11, a plurality of magnets 7 are mounted on the fixed plate 11, side plates 12 are symmetrically provided at both ends of the top of the fixed plate 11, both ends of the guide rod 3 are respectively fixed on the two side plates 12, and the two side plates 12 are slidably fitted with pull rods 4.

[0078] In one embodiment, if Figure 3 As shown, one end of the pull rod 4 is fixed on both sides of the probe 2, and the two pull rods 4 are slidably matched on the two side plates 12.

[0079] Specifically, when the detection tooling device is working, the base 1 is first fixed to the sleeve area of ​​the movable guide vane by using the magnets 7 distributed in a linear array at the bottom of the base 1. The positioning brackets 5 on both sides of the probe 2 slide on the guide rod 3 fixed to the base 1 through the guide sleeve 6, and the bottom surface of the probe 2 is lower than the bottom surface of the positioning bracket 5, which plays a positioning and supporting role. Subsequently, the pull rod 4 slidably engaged with the side plate 12 of the base 1 is used to pull the probe 2 fixed to one end of the pull rod to slide on the guide rod 3, thereby realizing the detection of the sleeve area of ​​the movable guide vane.

[0080] In this embodiment, by arranging magnets 7 distributed in a linear array at the bottom of the base 1, the device can be easily, quickly and firmly fixed on the sleeve area of ​​the movable guide vane; the positioning brackets 5 on both sides of the probe 2 cooperate with the guide sleeve 6 to achieve precise positioning and stable guidance, and the bottom surface of the probe 2 is lower than the bottom surface of the positioning bracket 5, which can ensure a suitable detection distance and relative position and improve the detection accuracy; the matching design of the pull rod 4, the base 1 and the probe 2 allows the operator to flexibly control the movement of the probe 2, which is convenient for detecting different parts of the sleeve area of ​​the movable guide vane and is easy to operate; the overall device structure is simple and reasonable, the connections between the components are clear, it is easy to manufacture, install and maintain, and the cost is reduced, and it has both practicality and economy.

[0081] Beneficial effects of the present invention: (1) Improving detection accuracy: By building a simulation model and optimizing the detection condition parameters, the actual detection environment can be simulated more accurately, thereby improving the accuracy and reliability of detection.

[0082] (2) Enhanced detection efficiency: Phased array detection technology can quickly perform electronic scanning and focusing, which can greatly improve detection efficiency compared to traditional manual or mechanical scanning methods.

[0083] Embodiment 2 Based on the same inventive concept, Figure 4 As shown, the embodiment of the present invention further provides a movable guide vane sleeve region defect detection device 200, comprising: The parameter acquisition module 210 is used to acquire target detection condition parameters; wherein the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane; The defect identification module 220 is used to control the detection tooling device to perform phased array detection on the sleeve area of ​​the movable guide vane of the hydraulic generator set according to the target detection condition parameters, so as to identify defects in the sleeve area of ​​the movable guide vane of the hydraulic generator set.

[0084] It should be understood that the device corresponds to the above-mentioned movable guide vane sleeve area defect detection method embodiment, and can perform the various steps involved in the above-mentioned method embodiment. The specific functions of the device can be found in the above description. To avoid repetition, the detailed description is appropriately omitted here. The device includes at least one software function module that can be stored in a memory in the form of software or firmware or solidified in the operating system (OS) of the device.

[0085] Embodiment 3 Based on the same inventive concept, an embodiment of the present invention further provides an electronic device, including: a processor and a memory, the memory storing machine-readable instructions executable by the processor, and the machine-readable instructions executing the above-mentioned movable guide vane sleeve area defect detection method when executed by the processor.

[0086] In a typical configuration, an electronic device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0087] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0088] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0089] Embodiment 4 Based on the same inventive concept, an embodiment of the present invention further provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer executes the above-mentioned movable guide vane sleeve area defect detection method.

[0090] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0091] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0092] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0094] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0095] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part.

[0096] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0097] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for detecting defects in the guide vane sleeve area, characterized in that: include: Obtaining target detection condition parameters; wherein the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane; The control detection tooling device performs phased array detection on the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set according to the target detection condition parameters to identify defects in the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set.

2. The method for detecting defects in the guide vane sleeve area according to claim 1, characterized in that: The target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane, including: S110, constructing a simulation model of movable guide vanes of a hydroelectric generator set; S120, determining sleeve defect parameters of a simulation model of movable guide vanes of a hydroelectric generator set; S130, determining the detection condition parameters of the hydraulic generator set movable guide vane simulation model according to the sleeve defect parameters of the hydraulic generator set movable guide vane simulation model; S140, controlling the detection tooling device to perform phased array detection on the sleeve area of ​​the movable guide vane of the test hydraulic generator set according to the detection condition parameters of the hydraulic generator set movable guide vane simulation model, and identifying defects in the sleeve area of ​​the test hydraulic generator set movable guide vane; wherein the test hydraulic generator set movable guide vane and the hydraulic generator set movable guide vane simulation model have the same sleeve defect parameters; S150, if it is identified that the defect of the movable guide vane of the tested hydroelectric generator set does not exist, return to step S130; S160: If it is identified that defects exist in the movable guide vanes of the tested hydroelectric generator set, the detection condition parameters of the simulation model of the movable guide vanes of the hydroelectric generator set are used as target detection condition parameters.

3. The method for detecting defects in the guide vane sleeve area according to claim 2, characterized in that: Bushing defect parameters include: type, location, shape, size and direction of bushing defects; The detection condition parameters include: the probe position of the detection fixture, the probe model, the ultrasonic frequency, the number of wafers, the wafer spacing, the wedge model and the incident angle.

4. The method for detecting defects in the guide vane sleeve area according to claim 1, characterized in that: The detection tooling device comprises: a base (1), a probe (2), a guide rod (3), a pull rod (4) and a sleeve area of ​​a movable guide vane; A plurality of magnets (7) are provided at the bottom of the base (1), and the plurality of magnets (7) are distributed in a linear array. The base (1) is fixed to the shaft sleeve region of the movable guide vane through the magnets (7), the guide rod (3) is fixed to the base (1), the probe (2) is slidably fitted on the guide rod (3) and is slidably fitted with the shaft sleeve region of the movable guide vane, and the pull rod (4) is slidably fitted on the base (1), and one end of the pull rod is fixed to the probe (2).

5. The method for detecting defects in the guide vane sleeve area according to claim 4, characterized in that: Positioning brackets (5) are symmetrically arranged on both sides of the probe (2); the probe (2) is fixedly connected to the two positioning brackets (5), and the bottom surface of the probe (2) is lower than the bottom surface of the positioning brackets (5).

6. The method for detecting defects in the guide vane sleeve area according to claim 5, characterized in that: A guide sleeve (6) is fixedly provided between the positioning brackets (5); the guide sleeve (6) is slidably fitted on the guide rod (3); and the positioning bracket (5) is slidably fitted on the guide rod (3) via the guide sleeve (6).

7. The method for detecting defects in the guide vane sleeve area according to claim 4, characterized in that: The base (1) comprises a fixing plate (11), a plurality of magnets (7) are mounted on the fixing plate (11), side plates (12) are symmetrically provided at both ends of the top of the fixing plate (11), both ends of the guide rod (3) are respectively fixed on the two side plates (12), and the two side plates (12) are slidably fitted with pull rods (4).

8. The method for detecting defects in the guide vane sleeve area according to claim 7, characterized in that: One end of the pull rod (4) is fixed to two sides of the probe (2), and the two pull rods (4) are slidably fitted on the two side plates (12).

9. A device for detecting defects in the guide vane sleeve area, characterized in that: include: A parameter acquisition module is used to acquire target detection condition parameters; wherein the target detection condition parameters are obtained by optimizing the detection condition parameters of the hydraulic generator set movable guide vane simulation model determined based on the simulation model constructed based on the hydraulic generator set movable guide vane; The defect recognition module is used to control the detection tooling device to perform phased array detection on the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set according to the target detection condition parameters, so as to identify the defects in the shaft sleeve area of ​​the movable guide vane of the hydraulic generator set.

10. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores machine-readable instructions executable by the processor, and when the machine-readable instructions are executed by the processor, the method for detecting defects in the movable guide vane sleeve area according to any one of claims 1 to 8 is executed.

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