A heat pipe regulation and processing system based on machine vision and a method thereof

Abstract

The present application relates to a kind of heat pipe regulation and control processing system and method based on machine vision, heat pipe regulation and control processing system includes rotating device, clamping device, camera module and terminal;Rotating device is used to drive clamping device between vertical direction and horizontal direction switching;Clamping device is used to clamp at least two heat pipes to be processed, and the axial height of the clamped heat pipe is adjusted;Camera module is used to collect the image of at least two heat pipes to be processed;Terminal is used to obtain the slope surface of heat pipe invalid section according to image, for heat pipe to be processed, select uniform reference point on the slope surface, calculate the invalid section height deviation of at least two heat pipes to be processed based on uniform reference point, so that clamping device is according to invalid section height deviation, at least one of heat pipe is carried out corresponding axial regulation and control, until invalid section height deviation is controlled in preset range, solve the problem that the invalid section is inconsistent caused by the height deviation of multiple tubes, and realize high-precision, fully automated continuous production.

Description

Technical Field

[0001] This invention relates to the field of heat pipe processing technology, specifically to a heat pipe control processing system and method based on machine vision. Background Technology

[0002] A heat pipe is a two-phase flow element that utilizes the phase change of the working fluid to achieve efficient heat transfer, and it has become a core component for heat dissipation in electronic devices. Among them, the second encapsulation process in heat pipe manufacturing is a key step that endows the heat pipe with heat transfer function and determines its final performance and long-term reliability.

[0003] In this process, to achieve efficient production, multiple heat pipes often need to be processed in parallel. The axial positioning accuracy of the sealing operation directly determines the length of the ineffective section of the heat pipe. The ineffective section refers to the part from the end of the heat pipe to the starting point of the internal effective capillary structure that does not participate in the main heat transfer. An excessively long ineffective section will increase axial thermal resistance and reduce the effective heat transfer length; while inconsistent lengths of ineffective sections will lead to uneven heat load distribution among multiple heat pipes used in parallel. Therefore, achieving precise and consistent control of the length of the ineffective section of multiple heat pipes is a core technological challenge for improving heat pipe product performance, yield, and batch consistency.

[0004] In existing heat pipe secondary encapsulation processes, mechanical positioning or fixing fixtures are typically used to position heat pipes to achieve efficient parallel processing of multiple heat pipes. However, due to individual differences in the heat pipes during the initial processing (such as length tolerances and end deformation), there are often significant height deviations in the starting positions of the ineffective segments of each heat pipe after clamping. During subsequent cold welding sealing, the different starting heights of each heat pipe result in inconsistent distances between the sealing position and the internal capillary structure, causing variations in the length of the ineffective segments within the same batch of heat pipes. This severely affects the temperature uniformity and reliability of the heat dissipation module.

[0005] Meanwhile, current production solutions are all open-loop or passive adaptive control, lacking the ability to measure the actual state of the heat pipe online, non-contact, and with high precision. Therefore, they cannot form effective closed-loop control and it is difficult to reliably transfer the leveled benchmark to the subsequent sealing station.

[0006] Therefore, the existing technology lacks an automated system solution that can integrate online precision measurement, real-time closed-loop feedback, automatic leveling, and seamless transfer of the leveling benchmark to the sealing process. This has made the precise control of the length of the ineffective section of the heat pipe a persistent challenge in the industry, hindering further improvement in the performance of high-end heat pipe products. Summary of the Invention

[0007] To address the problems existing in the prior art, the purpose of this invention is to provide a heat pipe control processing system and method based on machine vision, which improves the fine control of the heat pipe before the second packaging and achieves consistent length of the ineffective section of the heat pipe.

[0008] To achieve the above objectives, the present invention adopts the following technical solution: A heat pipe control processing system based on machine vision includes a base and a rotating device, a clamping device, a camera module and a terminal disposed on the base; The rotating device is used to drive the clamping device to switch orientations between the vertical and horizontal directions; The clamping device is used to clamp at least two heat pipes to be processed and independently adjusts the axial height of the clamped heat pipes in response to a control signal; The camera module is used to acquire images of at least two heat pipes to be processed and send them to the terminal. The terminal is used to obtain the slope surface of the invalid section of the heat pipe based on the sent image. For at least two heat pipes to be processed, a unified reference point is selected on the slope surface. Based on the unified reference point, the height deviation of the invalid section of at least two heat pipes to be processed is calculated, so that the clamping device can make corresponding axial adjustments to at least one of the heat pipes according to the height deviation of the invalid section until the height deviation of the invalid section is controlled within a preset range.

[0009] Furthermore, the base includes a motherboard and a horizontally rotating module disposed at the bottom of the motherboard; The motherboard is used to support the rotating device and camera module. The side of the motherboard has a slot to avoid the rotation trajectory of the clamping device. The horizontal rotation module is used to drive the entire system to rotate in the horizontal plane, so as to switch between the processing station and the loading and unloading station.

[0010] Furthermore, the clamping device includes an upper layer of bakelite and a lower layer of bakelite, as well as a sliding adjustment module connected to the upper layer of bakelite. The lower layer of bakelite provides support and is connected to a rotating device to enable the overall clamping device to rotate in the vertical plane. The upper layer of bakelite moves independently along the axial direction under the drive of the sliding adjustment module to adjust the height of the heat pipe. Dividing the clamping device into lower and upper layers of bakelite achieves physical decoupling of the support and adjustment functions. The lower layer of bakelite bears the load and rotation, while the upper layer of bakelite focuses on axial fine-tuning, avoiding positioning errors caused by motion coupling. The sliding adjustment module directly drives the upper layer of bakelite based on visual feedback, achieving independent and precise control of the height of a single heat pipe.

[0011] Furthermore, the sliding control module includes a sliding control module body, a limiting screw, and a sliding block. The sliding control module body has a slot, and the sliding block is installed in the slot of the sliding control module body. The limiting screw is located above the sliding block to limit the movement stroke of the sliding block. The upper bakelite has an upper bakelite connecting shaft, which passes through the slot of the sliding control module body.

[0012] Furthermore, the clamping device also includes a bakelite layer partition plate disposed between the upper bakelite layer and the lower bakelite layer, a rotating shaft disposed on the side of the device, and a spring module disposed at the bottom; The bakelite layer partition is used to isolate the upper bakelite layer from the lower bakelite layer and serves as an auxiliary positioning reference surface for the upper bakelite layer to be placed in its correct position. The rotating shaft connects inward to the lower layer of bakelite and outward to the rotating mechanism. The spring module is used to provide cushioning during the secondary encapsulation process, absorbing the impact during cold soldering and preventing hard collisions from damaging the heat pipe ends or clamping devices.

[0013] Furthermore, the camera module includes a camera, a retractable camera bracket, and a camera base. The camera bracket is positioned in the center of the base and is used to adjust the camera's vertical direction. The camera base is mounted on the camera bracket and has a sliding shaft on it for adjusting the camera's horizontal position. A rotating shaft is also mounted on the sliding shaft for changing the camera's orientation. Through the retractable function of the camera bracket and the rotating and sliding shafts of the base, three-dimensional adjustment of the camera's vertical height, horizontal position, and orientation angle is achieved. This allows the system to adapt to heat pipes of different specifications (variable length and diameter) and placement deviations from different batches, always ensuring that the heat pipe is centered in the image and that the image is clear. This reduces image acquisition errors at the source and improves the accuracy of height calculation.

[0014] A machine vision-based heat pipe control processing method includes the following steps: Clamp at least two heat pipes to be processed and adjust them to a vertical position; Acquire images of at least two heat pipes to be processed; The image is processed to obtain the slope surface of the invalid section of the heat pipe. For at least two heat pipes to be processed, a uniform reference point is selected on the slope surface, and the height deviation of the invalid section of at least two heat pipes to be processed is calculated based on the uniform reference point. Based on the calculated height deviation of the ineffective section, at least one heat pipe is subjected to corresponding axial adjustment until the height deviation of the ineffective section is controlled within the preset range.

[0015] Furthermore, image processing includes: The acquired images were sequentially subjected to Gaussian blurring, binarization, ROI region extraction, and edge contour extraction to obtain the slope surface contour image. The intersection point between the slope surface and the heat pipe body is identified by analyzing the contour image of the slope surface. The intersection point of the slope and the heat pipe body is selected as a unified reference point.

[0016] Furthermore, the image processing also includes: selecting multiple points within the slope contour image region, fitting a plane equation, and calculating the relative height of at least two invalid sections of the heat pipes to be processed; and performing axial adjustment based on the relative height of the invalid sections of the at least two heat pipes to be processed. By selecting multiple points within the slope region to fit a plane equation in the image processing, the random error of single-point measurement is effectively reduced, and the accuracy of height calculation is improved.

[0017] Furthermore, axial adjustment includes: based on the height deviation of the ineffective segment, driving the upper bakelite corresponding to the lower-height heat pipe upwards until the height of that heat pipe matches the height of the highest heat pipe; after adjustment, the horizontal rotating module at the bottom of the base rotates, driving the clamping device to place the adjusted heat pipe under the cold welding clamp for cold welding. Adopting a rise-only adjustment strategy, only driving the lower-height heat pipe upwards to be level with the highest pipe, this strategy is simple and reliable, avoiding the control complexity and potential overshoot problems caused by bidirectional adjustment. Immediately after adjustment, the heat pipe is rotated under the cold welding clamp, achieving seamless connection between the leveling and sealing processes, ensuring that the height benchmark after leveling is not compromised.

[0018] In summary, the present invention has the following advantages: By acquiring images of the slope surface of the ineffective section of the heat pipe online using machine vision and selecting a unified positioning reference point (the intersection of the slope surface and the heat pipe body), the height deviation of the ineffective section between multiple heat pipes is accurately calculated. Combined with the closed-loop feedback control of the terminal, the clamping device is driven to independently adjust the axial height of each heat pipe until the deviation is controlled within a preset range. This fundamentally solves the industry problem of inconsistent lengths of ineffective sections caused by individual differences in heat pipes (such as length tolerance and end deformation) under traditional mechanical positioning methods.

[0019] This ensures consistency in the length of the ineffective sections of multiple heat pipes within the same batch, avoiding increased axial thermal resistance due to excessively long ineffective sections and uneven heat load distribution when used in parallel due to inconsistent lengths. This significantly improves the temperature uniformity, heat transfer efficiency, and long-term reliability of the heat dissipation module, directly increasing product yield and batch consistency.

[0020] The horizontal rotating module at the bottom of the base allows the clamping device to be rotated to the cold welding station after axial adjustment, ensuring that the height reference after precise leveling is not damaged. This achieves a tight connection between measurement, control and processing, avoiding secondary positioning errors introduced by the transfer between processes. Attached Figure Description

[0021] Figure 1 This is a three-dimensional structural diagram of a heat pipe control processing system based on machine vision according to the present invention; Figure 2(a) is a three-dimensional structural schematic diagram of the clamping device of the present invention; Figure 2(b) is a partial enlarged view of point A in Figure 2(a), which is a three-dimensional structural schematic diagram of the sliding adjustment module in the clamping device of the present invention; Figure 3 This is a three-dimensional structural schematic diagram of the rotating device of the present invention; Figure 4 This is a three-dimensional structural diagram of the camera module of the present invention; Figure 5 This is a flowchart of a heat pipe control processing method based on machine vision according to the present invention; Figure 6 This is a schematic diagram illustrating the selection of the control reference point in this invention; In the picture: 1 represents the base, and 11 represents the horizontal rotating module; 2 is the clamping device, 21 is the upper layer bakelite, 22 is the upper layer bakelite connecting shaft, 23 is the bakelite layer partition plate, 24 is the clamping device side shaft, 25 is the lower layer bakelite connecting shaft, 26 is the lower layer bakelite, 27 is the sliding adjustment module body, 28 is the limit screw, 29 is the sliding block, and 210 is the spring module. 3 is the rotating device, and 31 is the vertical rotating shaft; 4 is the camera module, 41 is the camera, 42 is the rotating axis, 43 is the sliding axis, and 44 is the camera bracket; 5 represents the sliding control module; 6 represents the heat pipe, 61 represents the ineffective section, 611 represents the ramp surface, 612 represents the reference point, and 62 represents the main body of the heat pipe. Detailed Implementation

[0022] The present invention will now be described in further detail.

[0023] like Figure 1 As shown, a heat pipe control processing system based on machine vision includes a base 1, a clamping device 2, a rotating device 3, and a camera module 4. The clamping device 2 is used to clamp the heat pipe 6 for processing, the rotating device 3 is used to adjust the orientation of the clamping device, and the camera module 4 is used to capture images of the heat pipe 6 and process them. The rotating device 3 and the camera module 4 are both mounted on the base 1, and the clamping device 2 is connected to the rotating device 3 via a side rotating shaft.

[0024] As shown in Figure 2(a), the clamping device 2 consists of an upper layer bakelite 21, an upper layer bakelite connecting shaft 22, a bakelite layer partition plate 23, a clamping device side shaft 24, a lower layer bakelite connecting shaft 25, and a lower layer bakelite 26. The upper bakelite connecting shaft 22 is an important component connecting the sliding adjustment module and the clamping device 2 as shown in Figure 2(b), and is also related to the implementation of the axial adjustment of the heat pipe 6.

[0025] The lower layer of bakelite 26 is mounted on the base of the clamping device 2, with the upper layer of bakelite 21 on top. A bakelite layer partition plate 23 is provided between the two layers of bakelite to isolate them and also serves as a positioning reference surface for the upper layer of bakelite when it is reset. The upper layer of bakelite 21 is connected via an upper layer bakelite connecting shaft 22, which also connects to the sliding adjustment module 5. The lower layer of bakelite 26 is connected via a lower layer bakelite connecting shaft 25, and has a shaft and plate embedded inside, allowing it to connect to the side shaft 24 of the clamping device to ensure the overall rotation function of the device.

[0026] As shown in Figure 2(b), the sliding adjustment module 5, as an important component of the clamping device 2, includes the sliding adjustment module body 27, the limiting screw 28, and the sliding blocks 29 on the left and right sides.

[0027] The sliding block 29 is installed in the left and right slots of the sliding control module body 27. The bottom plate restricts its movement, and the upper part is additionally fitted with limit screws 28 after the sliding block 29 is installed to restrict the movement of the sliding block 29.

[0028] like Figure 3 As shown, the rotating device 3 includes a vertical rotating shaft 31, and a transmission shaft is also provided on the outer side; The vertical rotation shaft 31 can be connected to the side shaft 24 of the aforementioned clamping device to drive the clamping device to rotate in the vertical direction. The outer drive shaft is located on the other side of the device symmetrical to the vertical rotation shaft 31 to assist in the operation of the vertical rotation shaft 31.

[0029] like Figure 4 As shown, camera module 4 includes camera 41, rotating shaft 42, sliding shaft 43, and camera bracket 44; The camera bracket 44 serves as the base of the entire module and also has a telescopic function, allowing adjustment of the camera's vertical position. A camera base is located on top, comprising a rotating shaft 42 and a sliding shaft 43, for adjusting the camera's horizontal position and orientation. The camera 41 is placed on the camera base.

[0030] like Figure 5 As shown, a heat pipe control processing method based on machine vision includes: S1) At least two heat pipes 6 to be processed are horizontally clamped by the clamping device 2, and the heat pipes 6 are rotated to a vertical position by the rotating device 3.

[0031] S2) Based on the vertical heat pipe 6 obtained in step S1, use the camera module 4 to acquire images and upload them to the terminal for image processing.

[0032] S3) Based on the image of the heat pipe 6 obtained in step S2, the sliding adjustment module 5 in the clamping device 2 will adjust the axial height of the heat pipe based on the acquired image. After the adjustment is completed, the horizontal rotation module at the bottom of the base 1 will be activated to place the heat pipe 6 under the cold welding clamp, and at the same time the camera module 4 will retract to a safe position through the camera bracket 44 to facilitate subsequent steps.

[0033] S4) Based on the device obtained in step S3, the clamping device 2 that vertically clamps the heat pipe 6 participates in the subsequent processing stage. After the subsequent stage is completed, the camera module 4 is restored to the preset height via the camera bracket 44, while the rotating shaft 42 and the sliding shaft 43 complete the precise adjustment of the camera position. The empty clamping device 2 at the other end will continue to complete the feeding process and participate in the next cycle.

[0034] Unlike the traditional bottom-end positioning method, this invention adopts a positioning method based on the slope surface of the invalid section, changing the positioning target from the traditional "controlling the position of the sealing tool" to "directly controlling the end position of the invalid section". By accurately identifying the root feature points at the junction of the injection tube and the heat pipe body through a vision system, a mapping relationship between the root position and the sealing surface is established, which fundamentally solves the industry problem of inconsistent invalid section lengths caused by individual differences in heat pipes (such as length tolerance and end deformation) under the traditional mechanical positioning method.

[0035] Specifically, image processing methods include: Image acquisition and preprocessing: Acquire images of the top of the heat pipe, including the invalid segment 61 and the main body of the heat pipe 62, and sequentially perform Gaussian blurring, binarization, ROI region extraction, edge contour extraction, image fitting and detection, and precise calculation of tangent points to obtain the preprocessed binarized image, contour image, and coordinate values ​​of the reference point 612.

[0036] Specifically, firstly, a 3×3 Gaussian kernel is used for convolution. The weight distribution of the Gaussian kernel follows a two-dimensional Gaussian function, with the center point having the largest weight and the weight of surrounding points decreasing with distance. The color image is then converted to a grayscale image using binarization to facilitate subsequent calculations and processing. The purpose is to remove random noise during image acquisition to obtain a more accurate image. Secondly, fast edge detection calculations are performed within the current ROI to determine the centroid and distribution range of edge points. The ROI boundary is adjusted to exactly contain all valid edge points, thereby reducing the processing area and computational load. An independent ROI region is created for each heat pipe, and calculations are performed independently without interference. Then, the Canny edge detection method is mainly adopted for edge detection. The main steps are Gaussian smoothing, gradient calculation, non-maximum suppression, and high and low threshold connection, resulting in a binary edge image. For the acquired image, image fitting is performed on the main body of the heat pipe, and appropriate image fitting is also performed on the 611 part of the slope. The fitted image is then used to calculate the precise tangent point to obtain a relatively reliable bottom endpoint of the slope, which serves as an important basis for localization.

[0037] Reference point determination: The bottom of the heat pipe ramp in the image is selected as the reference point for positioning, specifically the intersection of the ramp line and the vertical line of the heat pipe body below. Distance Calculation: Using a point on one heat pipe (such as the intersection point mentioned above) as a reference point, the position of the corresponding point on the other heat pipe is converted into a coordinate form. The difference in the vertical direction between the two points is calculated, which is the axial movement distance. A better approach is to select multiple points within the slope area of ​​the invalid segment of one heat pipe in the image, fit a realistic plane equation, and determine the relative height of that area. Then, the same operation is performed on the other heat pipe, using the calculated relative heights of the two heat pipes as their respective measurement heights to reduce measurement errors. Furthermore, a weighted algorithm can be applied to the points sampled from different regions to further reduce errors that may arise from image acquisition accuracy.

[0038] Height Adjustment: After receiving the image processing results from the distance calculation step, the upper layer of bakelite containing the lower heat pipe moves upward, along with the heated copper block and heat pipe, to the position corresponding to the higher heat pipe, thus achieving height leveling. Figure 6 As shown.

[0039] Camera Reset: After image processing, the camera module retracts to a safe height via the camera bracket. After cold welding, it returns to the preset height. Simultaneously, the rotating shaft rotates to orient the camera toward the new batch of heat pipes, and the sliding shaft moves horizontally to align the camera center with the location of the heat pipe. The parameters for this movement are calculated using data from the heat pipe's height and the processing system itself.

[0040] In addition, displacement compensation can be added: if the movement performed according to the preset cannot perfectly meet the original requirements, a reference point is found based on the current position of the image and the preset position, and it is converted into two-dimensional coordinates to adjust the corresponding position so that the image is in a suitable position.

[0041] Specifically, the working process of this invention is as follows: After the material is loaded, the clamping device 2 is driven by the vertical rotation axis of the rotating device 3 to complete the transformation from the horizontal to the vertical direction. At the same time, the clamping device 2 on the other side will change from the vertical to the horizontal direction.

[0042] When the previous batch of heat pipes 6 is in a non-cold-welded state, the camera module 4 performs image acquisition and processing for the next batch of heat pipes 6.

[0043] The sliding adjustment module 5 in the clamping device 2 receives the image processing results from the camera module 4 in the previous step and performs axial fine adjustment on the heat pipe 6 to obtain the heat pipe 6 to be processed with its height aligned with the bottom of the slope. After processing, the horizontal rotation module under the base 1 places the clamping device 2 containing the processed heat pipe 6 under the cold welding clamp, while the unloaded, horizontally positioned opposite clamping device 2 is rotated to the loading position for the next cycle.

[0044] Before cold welding, the camera bracket 44 in the camera module 4 retracts to avoid interfering with the cold welding process. After cold welding, the rotating device 3 rotates the clamping devices 2 on both sides 90º via the outer drive shaft, unloading the cold-welded heat pipe. The loaded heat pipe is then placed vertically, ready for image processing. The camera module 4 returns to the preset height via the camera bracket 44, while the rotating shaft 42 and sliding shaft 43 work together to accurately position the camera at the corresponding position for the next batch of heat pipes to be tested. The next cycle begins.

[0045] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A heat pipe control processing system based on machine vision, characterized in that, Includes a base and a rotating device, a clamping device, a camera module and a terminal mounted on the base; The rotating device is used to drive the clamping device to switch orientations between the vertical and horizontal directions; The clamping device is used to clamp at least two heat pipes to be processed and independently adjusts the axial height of the clamped heat pipes in response to a control signal; The camera module is used to acquire images of at least two heat pipes to be processed and send them to the terminal. The terminal is used to obtain the slope surface of the invalid section of the heat pipe based on the sent image. For at least two heat pipes to be processed, a unified reference point is selected on the slope surface. Based on the unified reference point, the height deviation of the invalid section of at least two heat pipes to be processed is calculated, so that the clamping device can make corresponding axial adjustments to at least one of the heat pipes according to the height deviation of the invalid section until the height deviation of the invalid section is controlled within a preset range.

2. The heat pipe control and processing system based on machine vision according to claim 1, characterized in that: The base includes a motherboard and a horizontally rotating module located at the bottom of the motherboard; The motherboard is used to support the rotating device and camera module. The side of the motherboard has a slot to avoid the rotation trajectory of the clamping device. The horizontal rotation module is used to drive the entire system to rotate in the horizontal plane, so as to switch between the processing station and the loading and unloading station.

3. The heat pipe control and processing system based on machine vision according to claim 1, characterized in that: The clamping device includes an upper layer of bakelite and a lower layer of bakelite, as well as a sliding adjustment module connected to the upper layer of bakelite. The lower layer of bakelite serves as a support and is connected to a rotating device to enable the clamping device to rotate as a whole on the vertical surface. The upper layer of bakelite is used to move independently along the axial direction under the drive of the sliding adjustment module to adjust the height of the heat pipe.

4. The heat pipe control and processing system based on machine vision according to claim 3, characterized in that: The sliding control module includes a sliding control module body, a limit screw, and a sliding block. The sliding control module body has a slot, and the sliding block is installed in the slot of the sliding control module body. The limit screw is set above the sliding block to limit the movement stroke of the sliding block. The upper bakelite has an upper bakelite connecting shaft, which passes through the slot of the sliding control module body.

5. The heat pipe control and processing system based on machine vision according to claim 4, characterized in that: The clamping device also includes a bakelite layer partition plate disposed between the upper bakelite layer and the lower bakelite layer, a rotating shaft disposed on the side of the device, and a spring module disposed at the bottom; The bakelite layer partition is used to isolate the upper bakelite layer from the lower bakelite layer and serves as an auxiliary positioning reference surface for the upper bakelite layer to be placed in its correct position. The rotating shaft connects inward to the lower layer of bakelite and outward to the rotating mechanism. The spring module is used to provide cushioning during the secondary encapsulation process and absorb the impact during cold soldering.

6. The heat pipe control and processing system based on machine vision according to claim 1, characterized in that: The camera module includes a camera, a retractable camera bracket, and a camera base. The camera bracket is located in the center of the base and is used to adjust the camera's vertical direction. The camera base is located on the camera bracket and has a sliding shaft on it, which is used to adjust the camera's horizontal position. The sliding shaft also has a rotating shaft, which is used to change the camera's orientation.

7. A heat pipe control processing method based on machine vision, characterized in that, The heat pipe control processing system based on machine vision as described in any one of claims 1 to 6 includes the following steps: Clamp at least two heat pipes to be processed and adjust them to a vertical position; Acquire images of at least two heat pipes to be processed; The image is processed to obtain the slope surface of the invalid section of the heat pipe. For at least two heat pipes to be processed, a uniform reference point is selected on the slope surface, and the height deviation of the invalid section of at least two heat pipes to be processed is calculated based on the uniform reference point. Based on the calculated height deviation of the ineffective section, at least one heat pipe is subjected to corresponding axial adjustment until the height deviation of the ineffective section is controlled within the preset range.

8. The heat pipe control processing method based on machine vision according to claim 7, characterized in that: Image processing includes: The acquired images were sequentially subjected to Gaussian blurring, binarization, ROI region extraction, and edge contour extraction to obtain the slope surface contour image. The intersection point between the slope surface and the heat pipe body is identified by analyzing the contour image of the slope surface. The intersection point of the slope and the heat pipe body is selected as a unified reference point.

9. The heat pipe control processing method based on machine vision according to claim 8, characterized in that: Image processing also includes: Multiple points within the slope contour image region are selected, a plane equation is fitted, and the relative heights of at least two ineffective sections of the heat pipes to be processed are calculated. Axial control is performed based on the relative height of the ineffective sections of at least two heat pipes to be processed.

10. The heat pipe control processing method based on machine vision according to claim 7, characterized in that: Axial adjustment includes: based on the height deviation of the ineffective segment, driving the upper bakelite corresponding to the lower heat pipe to move upward until the height of the heat pipe is consistent with the height of the highest heat pipe; after the adjustment is completed, the horizontal rotating module at the bottom of the base rotates, driving the clamping device to place the adjusted heat pipe under the cold welding clamp for cold welding processing.

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