Design method and system for increasing size of inner side wall of through area at joint of clamping arms of ligature clamp

Abstract

The invention relates to the technical field of structural optimization of medical instruments, in particular to a design method and system for increasing the size of the inner side wall of a through area at the connecting position of clamping arms of a ligature clip, and the method comprises the steps: extracting the elastic rebound speed of the ligature clip when the ligature clip is released from a clip bin under the set ligature clip structural size according to a shooting result of high-speed shooting; the structure size, the material parameters and the elastic rebound speed of the ligature clip serve as input, the maximum thickening amount and the position of the inner side wall of the ligature clip and two kinds of outer side wall stress generated when the clip arms are opened to the maximum angle and contained in the clip bin are output through the prediction model; and generating a thickness gradient change scheme of the inner side wall from the position of the inner side wall to the free ends of the two clamping arms by adopting a self-adaptive topological optimization algorithm in three-dimensional model software. According to the invention, the problem that the thickness adjustment of the inner side wall at the joint of the clamping arms of the ligature clamp is uncontrollable is effectively solved, the dynamic performance, the structural strength and the clinical operability of the ligature clamp are collaboratively optimized, and the accurate adjustment of the thickness of the inner side wall at the joint of the clamping arms of the ligature clamp is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of medical device structure optimization, and in particular to a method and system for designing thickened sidewalls in a through-region at the connection of ligation clamp arms. Background Art

[0002] like Figure 1 As shown, the existing ligation clamp includes two clamp arms 1, one end of the two clamp arms 1 is connected to form a closed tail 2 of the ligation clamp, and the other end is a free end 3. The two free ends 3 are closed when performing the ligation action; the two clamp arms 1 are in an arc shape convex in the same direction; a through area 4 is provided on the closed tail 2. The reason for providing the through area 4 is that when the ligation clamp is accommodated in the clamp compartment, the two clamp arms 1 are in a gathered state. Of course, the free ends 3 are not closed at this time, but are only close. However, when the ligation clamp is removed from the clamp compartment, the elasticity of the closed tail 2 is required to make the two clamp arms 1 open.

[0003] During the above process, the through area 4 can ensure that the two clamp arms 1 are better closed in the clamp compartment, and on the other hand, the through area 4 ensures that the two clamp arms 1 are smoothly opened when the ligation clamp is removed from the clamp compartment through the cooperation of the inner side walls 21 and the outer side walls 22 on both sides.

[0004] Currently, the inner wall 21 of a ligation clamp is often too thin. This does not affect the storage of the ligation clamp within the clamp compartment, but it often interferes with the opening of the two clamp arms 1 when the ligation clamp is removed from the compartment, preventing the clamp from performing the intended ligation action and potentially causing it to fall into the human body. However, due to the relatively small size of the ligation clamp itself, how to precisely adjust the thickness of the inner wall 21, while also taking into account the potential impact of adjustments on other structures associated with the inner wall 21 size, has become a technical problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] The present invention provides a method and system for designing thickened side walls in a through-region of a ligation clamp arm connection, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: The design method for thickening the side wall in the through area of ​​the ligature clamp arm connection includes: The elastic rebound speed of the ligation clip when it is released from the clip chamber under the set ligation clip structure size is extracted through the shooting results of high-speed camera; Using the ligation clip's structural dimensions, material parameters, and elastic rebound speed as input, the prediction model outputs the maximum thickness and location of the inner wall, as well as two types of outer wall stresses when the clip arm is opened to its maximum angle and when the clip is contained within the clip compartment. Based on the maximum thickening amount and its location, and the two outer wall stresses, an adaptive topology optimization algorithm is used in the three-dimensional model software to generate a thickness gradient change scheme of the inner wall from the location to the free ends of the two clamping arms.

[0007] Furthermore, the elastic rebound velocity is represented by an angular acceleration time series, and the angular acceleration characteristics are obtained by analyzing a displacement-time curve of a specific landmark point of the clamping arm.

[0008] Furthermore, the prediction model collaboratively solves the maximum inner wall thickening and two outer wall stresses that meet the constraints through a multi-objective optimization algorithm, wherein the constraints include at least one of the following conditions: Both outer sidewall stresses do not exceed a preset safety ratio of the material yield strength; The maximum thickness increase meets the injection molding capability requirements; The free end of the clamp arm reaches the clinically required opening stroke during the release process.

[0009] Furthermore, the adaptive topology optimization algorithm includes: Constructing a thickness gradient change curve by at least a cubic spline interpolation method, wherein the location is an initial node generation location of the spline interpolation method, and arranging other nodes based on the generation location; A thickness mutation region is identified based on the gradient change curve, and the setting density of other nodes is revised according to the distance between the thickness mutation region and the location.

[0010] Furthermore, the distance between the thickness mutation area and the location is compared with a set standard, and two situations of short-distance mutation and long-distance mutation are divided according to the comparison result; In the case of close-range mutations, increase node density; In case of long-distance mutation, redundant nodes are merged.

[0011] Furthermore, after constructing the thickness gradient change curve, a secondary optimization correction is performed, including: Importing the thickness gradient change curve into a finite element analysis system; The finite element analysis system simulates the process of the ligation clip being pushed out of the clip chamber, and monitors the opening amount of the free end of the clip arm; The opening amount is compared with a standard value, and if the deviation between the two exceeds a set value, the position of the maximum thickening amount is re-determined.

[0012] The ligature clamp arm joint through-area side wall thickening design system includes: The rebound speed capture module extracts the elastic rebound speed of the ligation clamp when it is released from the clamp chamber under the set ligation clamp structure size through the shooting results of the high-speed camera; a structured data prediction module, which uses the ligation clip structural dimensions, material parameters, and the elastic rebound speed as inputs and outputs the maximum thickness increase and location of the inner wall, as well as two outer wall stresses when the clip arms are opened to the maximum angle and when the clip is contained within the clip compartment, through a prediction model; The thickness gradient optimization module uses an adaptive topology optimization algorithm in a three-dimensional model software to generate a thickness gradient change plan of the inner wall from the position to the free ends of the two clamping arms based on the maximum thickening amount and the position and the two outer wall stresses.

[0013] Furthermore, the structured data prediction module includes: A constraint management unit, used to set and verify constraint conditions; The multi-objective optimization unit uses a multi-objective optimization algorithm to collaboratively solve the maximum thickness increase of the inner wall and the two outer wall stresses that meet the constraints; Furthermore, the thickness gradient optimization module includes: a thickness curve construction unit, which constructs a thickness gradient change curve by at least a cubic spline interpolation method, wherein the location is an initial node generation location of the spline interpolation method, and arranges other nodes based on the generation location; a node density control unit, which identifies a thickness mutation region based on the gradient change curve, and modifies the setting density of other nodes according to the distance between the thickness mutation region and the location; The secondary optimization revision unit performs secondary optimization revision after constructing the thickness gradient change curve.

[0014] Furthermore, the secondary optimization and revision unit includes: A finite element analysis subunit imports the thickness gradient change curve into a finite element analysis system; simulates the process of the ligation clip being pushed out of the clip chamber in the finite element analysis system, and monitors the opening amount of the free end of the clip arm; The thickening amount reset subunit compares the opening amount with the standard value. If the deviation between the two exceeds the set value, the position of the maximum thickening amount is re-determined.

[0015] The technical solution of the present invention can achieve the following technical effects: It effectively solves the problem of uncontrollable adjustment of the inner wall thickness at the connection of the existing ligation clamp arms, and shifts the micro-scale structural design from empirical trial and error to a controllable engineering process based on physical mechanisms. Through multi-objective optimization algorithm and adaptive topology optimization algorithm, the dynamic performance, structural strength and clinical operability of the ligation clamp are collaboratively optimized, and the precise adjustment of the inner wall thickness at the connection of the ligation clamp arms is achieved, which not only ensures the structural strengthening of the core area but also maintains the flexibility of the end.

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is a front view of the ligation clip in the background art; Figure 2 Schematic diagram for the comparison of the inner wall before and after thickening; Figure 3 A schematic flow chart of a method for designing a thickened side wall in the through-area of ​​the ligature clamp arm connection; Figure 4 Schematic diagram of the process of adaptive topology optimization algorithm; Figure 5 A schematic diagram of the structure of the design system for thickening the side wall in the through-area of ​​the ligature clamp arm connection; Figure numerals: 1, clamping arm; 2, closed tail; 21, inner wall; 22, outer wall; 3, free end; 4, through area; 5, location of maximum thickening; 6, thickening front curve; 7, thickening rear curve. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0021] Example 1: like Figure 3 As shown, the design method for thickening the side wall size in the through area of ​​the ligation clamp arm connection includes: S1: Extracting the elastic rebound speed of the ligation clip when it is released from the clip compartment under the set ligation clip structure size through the shooting results of high-speed camera; S2: Using the ligature clamp's structural dimensions, material parameters, and elastic rebound velocity as input, the prediction model outputs the maximum thickness and location of the inner wall, as well as the two outer wall stresses when the clamp arm is opened to the maximum angle and when the clamp is contained within the clamp chamber. S3: Based on the maximum thickness increase and its location, as well as the two outer wall stresses, an adaptive topology optimization algorithm is used in the 3D model software to generate a thickness gradient change scheme for the inner wall from its location to the free ends of the two clamp arms.

[0022] like Figure 2 As shown, the position 5 where the maximum thickening amount is located, as well as the curve 6 before thickening and the curve 7 after thickening are shown. In step S2 of this embodiment, the structural dimension input integrates the overall curvature of the clamping arm and the geometric characteristics of the closed tail to ensure that the thickness adjustment does not destroy the original mechanical conduction path; the material parameter input establishes a dynamic connection between the thickness change and the deformation capacity of the material; the elastic rebound speed converts the dynamic performance index into a quantifiable design constraint condition to ensure that the thickening scheme cannot destroy the requirement of smooth movement. For the output design, the maximum thickening amount and position are used to provide an accurate starting point for the transformation, and the stress value is used to predict the impact of the thickness increase on the outer wall, so as to establish an early warning mechanism for step S3. In this embodiment, the thickening position points to the key weak area where deformation is concentrated during the rebound process.

[0023] Through this embodiment, the micro-scale structural design is transformed from empirical trial and error to a controllable engineering process based on physical mechanisms. Starting from the maximum thickening position specified by the prediction model, a controlled thickness gradient change is implemented toward the free end, which not only ensures the structural reinforcement of the core area but also maintains the flexibility of the end. After implementation, while achieving the optimal thickness enhancement effect locally, the negative impact that may affect related structures such as the outer wall and free end is limited to a controllable range through the front-end prediction model and the back-end optimization algorithm. The prediction capability of step S2 locks the boundaries of key parameters, providing a physical constraint framework for subsequent optimization, so that the optimization in step S3 is concentrated on the level of the shape gradient design, and a more accurate thickening solution can be obtained.

[0024] As a preference of this embodiment, the elastic rebound velocity is represented by an angular acceleration time series, and the angular acceleration characteristics are obtained by analyzing the displacement-time curve of a specific marking point of the clamping arm.

[0025] When the ligation clamp is released from the clamp chamber, the elastic rebound of the clamp arm is accompanied by rapid rotation. The angular acceleration time series can quantify the impact load at the initial release and the subsequent stability, and can accurately locate the dynamic failure risk point. Therefore, in order to accurately reflect the transient dynamic characteristics of the clamp arm release and transform clinical operation problems into quantifiable engineering constraints, this embodiment selects angular acceleration as the core characterization parameter of the elastic rebound speed, and quantifies the dynamic process of elastic rebound through the angular acceleration sequence, so as to identify the instantaneous angular momentum imbalance that causes sticking, and embeds the angular acceleration characteristics as constraints into the prediction model, so that clinical operational requirements and structural safety form a quantifiable collaborative optimization framework.

[0026] Based on the above embodiment, the prediction model uses a multi-objective optimization algorithm to collaboratively solve the maximum inner wall thickening and two outer wall stresses that meet the constraints. The constraints include at least one of the following conditions: Neither type of stress on the outer wall exceeds a preset safety ratio of the material's yield strength. The outer wall of the ligature clamp experiences bending stress when open and contact compression stress when the clamp compartment is contained. If this stress exceeds the safe ratio of the material's yield strength, it will cause plastic deformation or fatigue cracking, leading to intraoperative clamp arm fracture or postoperative loosening. Furthermore, during clinical release, the ligature clamp is subjected to the dynamic impact of the forceps' thrust, and the transient stress may far exceed the static analysis value. The preset safety ratio can cover the risk of transient overload.

[0027] The maximum thickness increase must meet the injection molding capability requirements. Ligating clips are usually injection molded using high polymer materials such as polyoxymethylene. Excessive thickness increase may affect actual production.

[0028] The free end of the clamp arm reaches the clinically required opening stroke during release. Ligating clamps must be opened to a specific angle to facilitate vessel access. Insufficient opening can lead to unstable clamping or tissue damage. Constrained opening stroke is directly related to surgical success rate. The ligating clamp's opening mechanism has a fixed stroke. Constrained opening ensures mechanical compatibility between the clamp and the instrument, preventing abnormal increases in operating force during surgery.

[0029] Through multi-objective optimization algorithms and constraints, the inner wall thickening design can achieve mechanical adjustment of local parameters while completing the comprehensive goals of functional enhancement, safety redundancy, and manufacturing feasibility on a millimeter scale.

[0030] Furthermore, if Figure 4 As shown in Figure 2, the adaptive topology optimization algorithm includes: Constructing a thickness gradient curve by at least a cubic spline interpolation method, where the initial node generation position of the spline interpolation method is located, and arranging other nodes based on the generated position; The thickness mutation area is identified based on the gradient change curve, and the setting density of other nodes is revised according to the distance between the thickness mutation area and the location.

[0031] Specifically, the thickness gradient of the inner wall of the ligature clamp needs to avoid sudden changes, otherwise it will cause stress concentration. In this optimization scheme, the thickness gradient curve generated by the cubic spline interpolation method can ensure a smooth transition from the maximum thickening position to the free end. The initial node is the location of the maximum thickening. As a mechanical key point, after the initial curve is generated by cubic spline interpolation, this embodiment arranges other nodes based on this position. Nodes can be inserted at preset intervals along the axis of the clamp arm. The initial node spacing is proportionally distributed according to the length of the clamp arm to achieve priority control of key areas and avoid computational redundancy caused by uniform node distribution. Traditional topology optimization is prone to "checkerboard" artifacts due to grid sensitivity on millimeter-level structures. Therefore, this step identifies thickness mutation areas and dynamically adjusts the node density. According to the distance between these areas with large thickness changes and the initial nodes, the node density is appropriately increased or decreased.

[0032] On the basis of the above embodiment, the distance between the thickness mutation area and the location is compared with the set standard, and the two cases of short-distance mutation and long-distance mutation are divided according to the comparison result; In the case of close-range mutations, the node density is increased; thereby forcing the thickness variation curve to exhibit high-order continuity in the key area. The fine-grained control of dense node composition can reconstruct the natural stress transfer path and avoid mechanical conflicts between the mutation area and the core reinforcement. In the case of long-distance mutations, redundant nodes are merged to reduce the mathematical complexity near the free end.

[0033] In the above optimization scheme, distance-based mutation classification is used to construct the spatial association between thickness gradient and structural function. The core area needs to be strictly controlled, while the edge area is allowed to be moderately relaxed. By identifying the mutation position and dynamically switching the node strategy, the limitations of manually set rigid rules can be avoided.

[0034] As a preferred embodiment of this invention, after the thickness gradient change curve is constructed, a secondary optimization correction is performed, including: Import the thickness gradient change curve into the finite element analysis system; The finite element analysis system simulates the process of the ligature clamp being pushed out of the clamp chamber and monitors the opening of the free end of the clamp arm. Compare the opening amount with the standard value. If the deviation between the two exceeds the set value, take 0.25mm as an example, redetermine the position of the maximum thickening amount.

[0035] The ligation clamp needs to be opened to a specific angle to adapt to blood vessels of different diameters, and the opening amount is a direct functional indicator to measure the clamping ability. Too small will lead to incomplete clamping, and too large may damage the tissue. In addition, the opening mechanism stroke of the ligation clamp is fixed. Meeting the opening amount is a prerequisite for ensuring the mechanical compatibility of the ligation clamp and the instrument. Therefore, in this preferred solution, finite element analysis is used to restore the mechanical linkage process of the ligation clamp driving the ligation clamp to detach from the clamp chamber, ensuring that the optimized ligation clamp adapts to the operating characteristics of the ligation clamp. Attention is paid to the opening amount so that the ligation clamp can be effectively positioned by the ligation clamp to perform the closing action after being removed from the clamp chamber, thereby ensuring the final effect of the thickened design.

[0036] Example 2: Based on the same inventive concept as the method for designing thickened sidewall dimensions in the through-passing area at the connection of the ligation clamp arms in the aforementioned embodiment, the present invention further provides a system for designing thickened sidewall dimensions in the through-passing area at the connection of the ligation clamp arms, such as Figure 5 Shown, including: The rebound speed capture module extracts the elastic rebound speed of the ligation clamp when it is released from the clamp chamber under the set ligation clamp structure size through the shooting results of the high-speed camera; The structured data prediction module uses the ligature clamp's structural dimensions, material parameters, and elastic rebound velocity as inputs. The prediction model outputs the maximum thickness increase and location of the inner wall, as well as two types of outer wall stresses when the clamp arm is opened to its maximum angle and when the clamp is contained within the clamp compartment. The thickness gradient optimization module uses an adaptive topology optimization algorithm in the 3D model software to generate a thickness gradient change scheme for the inner wall from the location to the free ends of the two clamp arms based on the maximum thickening amount and location, as well as the two outer wall stresses.

[0037] The above-mentioned adjustment system in the present invention can effectively realize the design method of thickening the side wall size in the through area of ​​the connection of the ligation clamp arms. The technical effects that can be achieved are as described in the above-mentioned embodiments and will not be repeated here.

[0038] Furthermore, the structured data prediction module includes: A constraint management unit, used to set and verify constraint conditions; The multi-objective optimization unit uses a multi-objective optimization algorithm to collaboratively solve the maximum thickness increase of the inner wall and the two outer wall stresses that meet the constraints; In the actual optimization process, in order to ensure the efficiency and reliability of the optimization process, the constraints may need to be dynamically adjusted and verified. This embodiment sets up a constraint management unit to respond to the optimization process and external data in real time, breaking the limitations of static constraints, and dynamically adjusting the constraint boundaries according to the multi-objective optimization process, allowing the algorithm to explore more areas, and in the conflict constraint scenario, intelligently balance the conflicting constraints, adjust the optimization target weights according to preset rules, and guide the algorithm to efficiently search for the global optimal solution.

[0039] Furthermore, the thickness gradient optimization module includes: A thickness curve construction unit constructs a thickness gradient change curve by at least a cubic spline interpolation method, the location of which is the initial node generation position of the spline interpolation method, and arranges other nodes based on the generation position; The node density control unit identifies the thickness mutation area based on the gradient change curve and modifies the setting density of other nodes according to the distance between the thickness mutation area and the location; The secondary optimization revision unit,constructs the thickness gradient change curve and performs the secondary optimization,correction.

[0040] Furthermore, the secondary optimization revision unit includes: The finite element analysis subunit imports the thickness gradient change curve into the finite element analysis system; the finite element analysis system simulates the process of the ligation clip being pushed out of the clip chamber and monitors the opening amount of the free end of the clip arm; The thickening amount is reset to the stator unit, and the opening amount is compared with the standard value. If the deviation between the two exceeds the set value, the position of the maximum thickening amount is re-determined.

[0041] Specifically, the node density control of the node density control unit only solves the problem of curve smoothness, but does not verify the actual functional adaptability. Therefore, this embodiment adds a secondary optimization step after the node control. On the basis of completing the gradient curve of the node density control, the actual opening amount is verified by finite element analysis. The structural design and clinical operation are combined through finite element simulation to form a closed-loop verification. If the opening amount deviation is found to exceed the threshold during the secondary optimization, it is necessary to go back to the initial node position setting of the thickness curve construction unit and re-execute the node density control and secondary optimization until all constraints are met. The system realizes progressive optimization from "mathematical curve smoothing" to "engineering functional adaptation", avoiding the clinical disconnection problem caused by relying solely on theoretical models.

[0042] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the corresponding optimization effects of the method in Example 1, which will not be repeated here.

[0043] Although the present application has been described with reference to specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and drawings are merely illustrative of the present application as defined herein and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. It is apparent that various modifications and variations of the present application may be made by those skilled in the art without departing from the scope of the present application. Thus, the present application is intended to include such modifications and variations as fall within the scope of the present application and its equivalents.

Claims

1. A design method for thickening the side wall size in the through area of ​​the ligation clamp arm connection, characterized in that: include: The elastic rebound speed of the ligation clip when it is released from the clip chamber under the set ligation clip structure size is extracted through the shooting results of high-speed camera; Using the ligation clip's structural dimensions, material parameters, and elastic rebound speed as input, the prediction model outputs the maximum thickness and location of the inner wall, as well as two types of outer wall stresses when the clip arm is opened to its maximum angle and when the clip is contained within the clip compartment. Based on the maximum thickening amount and its location, and the two outer wall stresses, an adaptive topology optimization algorithm is used in the three-dimensional model software to generate a thickness gradient change scheme of the inner wall from the location to the free ends of the two clamping arms.

2. The method for designing thickened side walls in the through-area of ​​the ligation clamp arm connection according to claim 1, characterized in that: The elastic rebound velocity is reflected by an angular acceleration time series, and the angular acceleration characteristics are obtained by analyzing the displacement-time curve of a specific landmark point of the clamping arm.

3. The method for designing thickened side walls in the through-area of ​​the ligation clamp arm connection according to claim 1, characterized in that: The prediction model uses a multi-objective optimization algorithm to collaboratively solve the maximum inner wall thickness and two outer wall stresses that meet the constraints. The constraints include at least one of the following conditions: Both outer sidewall stresses do not exceed a preset safety ratio of the material yield strength; The maximum thickness increase meets the injection molding capability requirements; The free end of the clamp arm reaches the clinically required opening stroke during the release process.

4. The method for designing thickened side walls in the through-area of ​​the ligation clamp arm connection according to claim 1, characterized in that: The adaptive topology optimization algorithm includes: Constructing a thickness gradient change curve by at least a cubic spline interpolation method, wherein the location is an initial node generation location of the spline interpolation method, and arranging other nodes based on the generation location; A thickness mutation region is identified based on the gradient change curve, and the setting density of other nodes is revised according to the distance between the thickness mutation region and the location.

5. The method for designing thickened side walls in the through-area of ​​the ligation clamp arm connection according to claim 4, characterized in that: Comparing the distance between the thickness mutation area and the location with a set standard, and classifying the situation into two types: short-distance mutation and long-distance mutation according to the comparison result; In the case of close-range mutations, increase node density; In case of long-distance mutation, redundant nodes are merged.

6. The method for designing thickened side walls in the through-area of ​​the ligation clamp arm connection according to claim 4, characterized in that: After constructing the thickness gradient change curve, a secondary optimization correction is performed, including: Importing the thickness gradient change curve into a finite element analysis system; The finite element analysis system simulates the process of the ligation clip being pushed out of the clip chamber, and monitors the opening amount of the free end of the clip arm; The opening amount is compared with a standard value, and if the deviation between the two exceeds a set value, the position of the maximum thickening amount is re-determined.

7. The side wall of the ligature clamp arm connection area is thickened, characterized by: include: The rebound speed capture module extracts the elastic rebound speed of the ligation clamp when it is released from the clamp chamber under the set ligation clamp structure size through the shooting results of the high-speed camera; a structured data prediction module that uses the ligation clip's structural dimensions, material parameters, and the elastic rebound velocity as inputs and outputs, through a prediction model, the maximum thickness increase and location of the inner wall, as well as two outer wall stresses when the clip arm is opened to its maximum angle and when the clip is contained within the clip compartment; The thickness gradient optimization module uses an adaptive topology optimization algorithm in a three-dimensional model software to generate a thickness gradient change scheme of the inner wall from the position to the free ends of the two clamp arms based on the maximum thickening amount and the position and the two outer wall stresses.

8. The system for designing thickened sidewalls in the through-area of ​​the ligation clamp arm connection according to claim 7, characterized in that: The structured data prediction module includes: A constraint management unit, used to set and verify constraint conditions; The multi-objective optimization unit uses a multi-objective optimization algorithm to collaboratively solve the maximum thickening of the inner wall and the two outer wall stresses that meet the constraints.

9. The system for designing thickened sidewalls in the through-passing area of ​​the ligation clamp arm connection according to claim 7, characterized in that: The thickness gradient optimization module includes: a thickness curve construction unit, which constructs a thickness gradient change curve by at least a cubic spline interpolation method, wherein the location is an initial node generation location of the spline interpolation method, and arranges other nodes based on the generation location; a node density control unit, which identifies a thickness mutation region based on the gradient change curve, and modifies the setting density of other nodes according to the distance between the thickness mutation region and the location; The secondary optimization revision unit performs secondary optimization revision after constructing the thickness gradient change curve.

10. The system for designing thickened side walls in the through-area of ​​the ligation clamp arm connection according to claim 9, characterized in that: The secondary optimization revision unit includes: A finite element analysis subunit imports the thickness gradient change curve into a finite element analysis system; simulates the process of the ligation clip being pushed out of the clip chamber in the finite element analysis system, and monitors the opening amount of the free end of the clip arm; The thickening amount reset subunit compares the opening amount with the standard value. If the deviation between the two exceeds the set value, the position of the maximum thickening amount is re-determined.

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