Airplane horizontal measuring point punching method

Abstract

The invention relates to an aircraft horizontal measurement point forging method, which comprises the following steps of: firstly, determining a horizontal measurement forging sequence according to accessed horizontal measurement points, and calculating according to the distance between adjacent horizontal measurement points in the forging sequence to obtain the length of an optimal forging sequence so as to obtain the horizontal measurement forging sequence; according to the obtained horizontal measurement forging sequence, a local optimal solution of the horizontal measurement forging sequence is quickly found in a search space by applying a simulated annealing algorithm, the found local optimal solution of the horizontal measurement forging sequence is used as an initial solution of tabu search, and the initial solution is optimized by adopting a tabu search algorithm; searching a shortest horizontal measurement total forging sequence path through iterative calculation; and finally, designing an aircraft horizontal measurement point forging device, and carrying out forging operation on the horizontal measurement points on the aircraft according to the searched shortest horizontal measurement total forging sequence path. According to the method, the forging time is effectively shortened, the forging efficiency is improved, and rapid and efficient forging of the horizontal measuring point of the aircraft is achieved.

Description

Technical Field

[0001] The present invention relates to the field of digital measurement technology, and particularly to a method for punching aircraft horizontal measurement points. Background Art

[0002] Aircraft horizontal measurement is crucial for ensuring the overall assembly accuracy of an aircraft and directly reflects the technological level of the overall aircraft assembly. Traditionally, horizontal measurement is carried out by punching marks on the aircraft hull or using special rivets as aircraft horizontal measurement points. However, the aircraft coating protection layer obscures the pre-marked horizontal measurement points. When performing horizontal measurement, for the measurement points covered by the coating, repositioning and punching, that is, reproduction, are required. Currently, the existing horizontal measurement reproduction equipment is not sufficient to meet the accuracy and efficiency requirements for reproduction. Therefore, researching methods to improve the reproduction accuracy and efficiency of aircraft horizontal measurement points is an urgent technical problem to be solved. Summary of the Invention

[0003] The technical problem solved by the present invention is to provide a method for punching aircraft horizontal measurement points to solve the problems in the above background art.

[0004] The technical problem solved by the present invention is achieved by the following technical solutions:

[0005] A method for punching aircraft horizontal measurement points, the specific steps are as follows:

[0006] S100) According to the accessed horizontal measurement points, determine the horizontal measurement punching sequence Vr, and then calculate the total path between all horizontal measurement points based on the distance between adjacent horizontal measurement points in the punching sequence Vr. Obtain the length of an optimal punching order through the total path between all horizontal measurement points, thereby obtaining the horizontal measurement punching order;

[0007] S200) According to the horizontal measurement punching order obtained in step S100), use the simulated annealing algorithm to quickly find a preliminary horizontal measurement punching order in the search space and find the local optimal solution of the horizontal measurement punching order;

[0008] S300) Use the local optimal solution of the horizontal measurement punching order found in step S200) as the initial solution of the tabu search, and optimize the initial solution using the tabu search algorithm. Find the shortest total horizontal measurement punching order path through iterative calculation: Use the tabu search algorithm to solve the optimal total horizontal measurement punching order path: First, through the detailed exploration of the tabu search, optimize and refine the solution. During this process, the pheromone update mechanism of the simulated annealing algorithm is introduced to guide the tabu search. At the same time, the tabu search algorithm enhances the ability of the simulated annealing algorithm to find the optimal solution in the local search process;

[0009] Design an aircraft horizontal measurement point punching device, and then perform punching operations on the horizontal measurement points on the aircraft according to the shortest total punching sequence path found in step S300).

[0010] In the present invention, in step S100), the determination of the horizontal measurement punching sequence is specifically as follows:

[0011] S101) During the process of accessing the horizontal measurement points, sequentially fill the accessed horizontal measurement points into the punching sequence Vr, and h different punching sequences are represented. The distance between two adjacent horizontal measurement points in the punching sequence Vr and is i r = 1, 2, …, n - 1;

[0012] S102) According to the distance between adjacent horizontal measurement points in the punching sequence Vr in step S101), the total path calculation formula between all horizontal measurement points is obtained as

[0013]

[0014] In the above formula (1), f(x) is the length of an optimal punching sequence, thereby obtaining the horizontal measurement punching sequence.

[0015] In the present invention, in step S200), finding a local optimal solution for the horizontal measurement punching sequence is specifically as follows:

[0016] S201) Based on the actual movement of the operator between the horizontal measurement points, represent the local path punching time t (i,j) as

[0017] t (i,j) = t (i,j)c + t (i,j)l (2)

[0018] In formula (2), t (i,j)c is the punching time of the operator, and t (i,j)l is the time used by the laser tracker;

[0019] S202) Use the local path punching time t (i,j) to construct a local path consumption time matrix T between all pairs of horizontal measurement points dis

[0020]

[0021] When the number of horizontal measurement points is n, there are n! possible potential path combinations, where n! represents the factorial. As the variable n increases, the number of potential permutations and combinations will increase rapidly exponentially; when formulating the horizontal measurement punching order, the goal is to obtain an optimal horizontal measurement punching order in the shortest possible time. To balance the calculation speed and the quality of the solution, a simulated annealing strategy is adopted to solve the problem of the global punching order;

[0022] S203) The solution space C of the global punching order problem represents the set of all permutations of horizontal measurement point combinations, that is, C = {C = (c1, c2, L, c n )|(c1, c2, L, c n ) is a permutation of {1, 2, …, n}, where C represents a path traversing n horizontal measurement points, and c i represents the serial number of the horizontal measurement point detected at the i-th time in a punching order; after the horizontal measurement punching order is determined, based on the local path cost time matrix information, the total time for traversing all horizontal measurement point approximation points can be obtained, which is the objective function:

[0023]

[0024] In formula (4), t(c1, c2, L, c m ) represents the total time of the horizontal measurement punching order, represents the time consumed by the local path from the c i -th horizontal measurement point to the c i+1 -th horizontal measurement point, which can be directly obtained from the local path cost time matrix T dis ;

[0025] S204) Obtain the minimum value of the time consumed by the horizontal measurement punching order through algorithms such as simulated annealing

[0026] t * (c1 * , c2 * , …, c m * ), and at this time the global horizontal measurement punching order is:

[0027]

[0028] In formula (5), m = 1, 2, 3 …… n, and the local optimal solution of the horizontal measurement punching order is calculated through formula (5).

[0029] In the present invention, in step S300), a tabu search algorithm is used to iteratively calculate to find the shortest total punching order path of the horizontal measurement, specifically as follows:

[0030] S301) Initialize the parameters of the fusion algorithm and clear the taboo list. The fusion algorithm includes the simulated annealing algorithm and the taboo search algorithm;

[0031] S302) Check whether the fusion algorithm reaches the stop condition. If it reaches, the fusion algorithm ends and returns the optimal path solution; if not, execute the simulated annealing algorithm to obtain the local optimal path;

[0032] S303) Select the output of the simulated annealing algorithm obtained in step S302) as the initial solution set of the taboo search algorithm, and set the current solution;

[0033] S304) If the termination condition of the taboo search is satisfied, save the current optimization result, adjust the parameters of the simulated annealing algorithm, and then return to step S200); if not, continue to execute;

[0034] S305) Construct a neighborhood solution set based on the current solution and its neighborhood function, and select a candidate solution set from it;

[0035] S306) Judge the aspiration criterion for the candidate solution set selected in step S305). If a solution meets the conditions, update the corresponding element in the taboo list, lift its taboo state, and then return to step S400); if not, enter step S307);

[0036] S307) Update the current solution to the best non-taboo solution in the candidate solution, and perform corresponding element updates on the taboo list, and then return to step S400) for a new round of iteration.

[0037] In the present invention, in step S400), the aircraft horizontal measurement point punching device includes a cavity, upper and lower fine-tuning knobs, left and right fine-tuning knobs, a supplementary lighting mechanism, a punching button, an observation mirror and a handle. Among them, the upper and lower fine-tuning knobs and the left and right fine-tuning knobs are arranged at the front end of the cavity, the supplementary lighting mechanism is arranged below the front end of the cavity, a marking outlet for the coloring component to spray out colors to mark the horizontal measurement point is arranged on the cavity above the supplementary lighting mechanism, the observation mirror is arranged on the upper part of the cavity, the handle is arranged at the rear end of the cavity, and a motor, a punching rod mechanism, a spring and a coloring component are arranged inside the handle. The punching button arranged outside the handle is connected to the motor, the motor is connected to the punching rod mechanism, the punching rod mechanism is nested with a spring, the spring has the functions of stamping and shock absorption, and the spring is connected to the coloring component; the upper and lower fine-tuning knobs and the left and right fine-tuning knobs are used to adjust the accurate position of punching the horizontal measurement point; the supplementary lighting mechanism is used to supplement light to the punching position to ensure sufficient light for punching; the observation mirror is used to accurately and clearly observe whether the center position of the laser spot is the same as the center position of the punched horizontal measurement point.

[0038] In the present invention, in step S400), the operation of punching the horizontal measurement points on the aircraft by the aircraft horizontal measurement point punching device is specifically as follows:

[0039] First, when making the marks, in cooperation with the dotting and photographing functions of the laser tracker, determine the center position of the laser tracker's light spot. Through the circle center fitting technology, determine the accurate center of the marking ring, and compare the center of this marking ring with the center of the laser marking point. If the difference between the two exceeds 0.5 pixels, make fine adjustments until the difference is less than 0.5 pixels to ensure that the center of this device is completely aligned with the center of the laser marking point;

[0040] Then, the operator manually calibrates the aircraft horizontal measurement point marking device by observing the observation mirror and controlling the marking position by fine-tuning the up and down fine-tuning knobs and left and right fine-tuning knobs, and then starts the motor to execute the marking process through the marking button; when making the marking point, with the spring force of the spring, the coloring component leaves a red horizontal measurement point mark on the horizontal measurement point through the marking outlet. Through fine-tuning and repeated comparison, ensure the height accuracy of the horizontal measurement point marking.

[0041] Beneficial effects: The present invention integrates the fusion algorithm of the simulated annealing algorithm and the tabu search, models the marking order of the horizontal measurement points, uses the simulated annealing algorithm to quickly find a preliminary marking order in the search space as the initial solution of the tabu search, uses the tabu search algorithm to optimize the initial solution, finds the shortest total marking order path through iterative calculation, and designs an aircraft horizontal measurement point marking device to cooperate with the fusion algorithm, effectively reducing the marking time, improving the marking efficiency, and realizing the rapid and efficient marking of the aircraft horizontal measurement points. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is the specific flowchart of the marking order optimization in the preferred embodiment of the present invention.

[0043] Figure 2 It is the front view of the aircraft horizontal measurement point marking device in the preferred embodiment of the present invention.

[0044] Figure 3 It is the front view of the aircraft horizontal measurement point marking device in the preferred embodiment of the present invention.

[0045] Figure 4 It is the rear view of the aircraft horizontal measurement point marking device in the preferred embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0046] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below with reference to specific drawings.

[0047] An aircraft horizontal measurement point marking method, the specific steps are as follows:

[0048] S100) Determine the horizontal measurement marking order

[0049] S101) During the process of accessing the horizontal measurement points, the accessed horizontal measurement points are successively filled into the forging sequence Vr, and h different forging sequences are represented. The distance between two adjacent horizontal measurement points in the forging sequence Vr and is i r = 1, 2, …, n - 1;

[0050] S102) According to the distances between adjacent horizontal measurement points in the forging sequence Vr in step S101), the total path calculation formula between all horizontal measurement points is obtained as

[0051]

[0052] In the above formula (1), f(x) is the length of an optimal forging order, thus obtaining the horizontal measurement forging order;

[0053] S200) Use the simulated annealing algorithm to quickly find a preliminary horizontal measurement forging order in the search space and find the local optimal solution of the horizontal measurement forging order;

[0054] S201) Based on the actual movement of the operator between horizontal measurement points, represent the local path forging time t (i,j) as

[0055] t (i,j) = t (i,j)c + t (i,j)l (2)

[0056] In formula (2), t (i,j)c is the forging time of the operator, and t (i,j)l is the time used by the laser tracker;

[0057] S202) Use the local path forging time t (i,j) to construct the local path consumption time matrix T between all pairs of horizontal measurement points dis

[0058]

[0059] When the number of horizontal measurement points involved is n, there are n! possible potential path combinations. Here, n! represents the factorial. As the variable n increases, the number of potential permutations and combinations will increase exponentially at a rapid pace; when formulating the forging order, the goal is to obtain an optimal horizontal measurement forging order in as short a time as possible. To balance the calculation speed and the quality of the solution, a simulated annealing strategy is adopted to solve the problem of the global forging order;

[0060] S203) The solution space C for the global forging order problem represents the set of all permutations of horizontal measurement point combinations, i.e., C = {C = (c1, c2, …, c n ) | (c1, c2, …, c n ) is a permutation of {1, 2, …, n}, where C represents a path traversing n horizontal measurement points, and c i represents the serial number of the horizontal measurement point detected at the i-th time in a forging order; after the horizontal measurement forging order is determined, based on the local path cost time matrix information, the total time for traversing all the approximation points of the horizontal measurement points can be obtained, which is the objective function:

[0061]

[0062] In formula (4), t(c1, c2, …, c m ) represents the total time of the horizontal measurement forging order, represents the time consumed by the local path from the c i -th horizontal measurement point to the c i+1 -th horizontal measurement point, which can be directly obtained from the local path cost time matrix T dis ;

[0063] S204) Obtain the minimum value of the time consumed by the horizontal measurement forging order through algorithms such as simulated annealing

[0064] t * (c1 * , c2 * , …, c m * ), and at this time the global horizontal measurement forging order is:

[0065]

[0066] In formula (5), m = 1, 2, 3 …… n, and thus the local optimal solution of the horizontal measurement forging order is obtained;

[0067] S300) Use the local optimal solution of the horizontal measurement forging order found in step S200) as the initial solution of the tabu search, and optimize the initial solution using the tabu search algorithm. Through iterative calculation, find the shortest total forging order path of the horizontal measurement: First, through the detailed exploration of the tabu search, optimize and refine the solution. In this process, the pheromone update mechanism of the simulated annealing algorithm is introduced to guide the tabu search. At the same time, the tabu search algorithm enhances the ability of the simulated annealing algorithm to find the optimal solution in the local search process, specifically as follows:

[0068] S301) Initialize the parameters of the fusion algorithm and clear the tabu list. The fusion algorithm includes the simulated annealing algorithm and the tabu search algorithm;

[0069] S302) Check whether the fusion algorithm reaches the stop condition. If it does, the fusion algorithm ends and returns the optimal path solution; if not, execute the simulated annealing algorithm to obtain the local optimal path;

[0070] S303) Select the output of the simulated annealing algorithm obtained in step S302) as the initial solution set of the tabu search algorithm, and set the current solution;

[0071] S304) If the termination condition of the tabu search is satisfied, save the current optimization result, adjust the parameters of the simulated annealing algorithm, and then return to step S200); if not, continue to execute;

[0072] S305) Construct a neighborhood solution set based on the current solution and its neighborhood function, and select a candidate solution set from it;

[0073] S306) Determine the aspiration criterion for the candidate solution set selected in step S305). If a solution meets the conditions, update the corresponding element in the tabu list, lift its tabu status, and then return to step S400); if not, enter step S307);

[0074] S307) Update the current solution to the best non-tabu solution in the candidate solutions, and perform the corresponding element update on the tabu list, and then return to step S400) for a new round of iteration;

[0075] The above fusion algorithm has the global search ability of the simulated annealing algorithm and the local fine exploration function of the tabu search algorithm, significantly improving the quality of the solution and the search efficiency. By dynamically adjusting the interaction between the two algorithms, it effectively improves the probability of solving the optimal path problem, ensuring high-efficiency and high-quality optimization results. The flow of the simulated annealing tabu search fusion algorithm is as Figure 1 shown;

[0076] S400) Design an aircraft horizontal measurement point punching device to perform punching operations on the horizontal measurement points of the aircraft;

[0077] S401) Design an aircraft horizontal measurement point punching device according to the set horizontal point punching requirements as Figure 2As shown, it includes an up-and-down fine-tuning knob 1, a left-and-right fine-tuning knob 2, a supplementary light mechanism 3, a marking button 4, an observation mirror 5, a handle 6, and a cavity 7. The up-and-down fine-tuning knob 1 and the left-and-right fine-tuning knob 2 are arranged at the front end of the cavity 7. The supplementary light mechanism 3 is arranged below the front end of the cavity 7. A marking outlet for the coloring component to spray out colors to mark the horizontal measurement point is arranged on the cavity 7 above the supplementary light mechanism 3. Inside the handle 6 arranged at the rear end of the cavity 7, there are a motor, a punching rod mechanism, a spring, and a coloring component. The marking button 4 is connected to the motor, the motor is connected to the punching rod mechanism, the punching rod mechanism is nested with a spring, the spring has the functions of stamping and shock absorption, and the spring is connected to the coloring component; the up-and-down fine-tuning knob 1 and the left-and-right fine-tuning knob 2 are used to adjust the accurate position of the horizontal measurement point marking; the supplementary light mechanism 3 is used to supplement light to the marking position to ensure sufficient light for marking; the observation mirror 5 is used to accurately and clearly observe whether the center position of the laser spot is the same as the center position of the marked horizontal measurement point;

[0078] S402) Perform the marking operation on the horizontal measurement points on the aircraft through the aircraft horizontal measurement point marking device. Specifically:

[0079] First, when marking, cooperate with the dotting and photographing functions of the laser tracker to determine the center position of the laser tracker spot. Determine the accurate center of the marking ring through the circle fitting technology, and compare the center of this marking ring with the center of the laser marking point. If the difference between the two exceeds 0.5 pixels, perform fine-tuning until the difference is less than 0.5 pixels to ensure that the center of this device is completely aligned with the center of the laser marking point;

[0080] Then, the operator manually calibrates the aircraft horizontal measurement point marking device by observing the observation mirror 5 and fine-tuning the up-and-down fine-tuning knob 1 and the left-and-right fine-tuning knob 2 to control the marking position, and then starts the motor to execute the marking process through the marking button; when marking a point, with the spring force of the spring, the coloring component leaves a red horizontal measurement point mark on the horizontal measurement point through the marking outlet. Through fine-tuning and repeated comparison, ensure the height accuracy of the horizontal measurement point marking.

[0081] The above shows and describes the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification only illustrates the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for making aircraft horizontal measurement points, characterized in that, The specific steps are as follows: S100) According to the accessed horizontal measurement points, determine the horizontal measurement making sequence. Then, based on the distances between adjacent horizontal measurement points in the making sequence, calculate the total path among all horizontal measurement points. Obtain the length of an optimal making order through the total path among all horizontal measurement points, thereby obtaining the horizontal measurement making order. S200) According to the horizontal measurement making order obtained in step S100), use the simulated annealing algorithm to quickly search for a preliminary horizontal measurement making order in the search space and find the local optimal solution of the horizontal measurement making order. S300) Take the local optimal solution of the horizontal measurement making order found in step S200) as the initial solution of the tabu search. Use the tabu search algorithm to optimize the initial solution and find the shortest total horizontal measurement making order path through iterative calculation. S400) Design an aircraft horizontal measurement point making device, and then perform the making operation on the horizontal measurement points on the aircraft according to the shortest total horizontal measurement making order path found in step S300).

2. A method for punching an aircraft horizontal measurement point according to claim 1, characterized in that, In step S100), the determination of the horizontal measurement making order is specifically as follows: S101) During the process of accessing the horizontal measurement points, the accessed horizontal measurement points are successively filled into the forging sequence Vr, and h different forging sequences are represented. The distance between two adjacent horizontal measurement points in the forging sequence Vr and is i r = 1, 2, …, n - 1; S102) According to the distances between adjacent horizontal measurement points in the punching sequence Vr in step S101) The total path calculation formula between all horizontal measurement points is obtained as In the above formula (1), f(x) is the length of an optimal making order, thereby obtaining the horizontal measurement making order.

3. A method for punching aircraft horizontal measurement points according to claim 1, characterized in that In step S200), to find the local optimal solution of the horizontal measurement making order, the specific steps are as follows: S201) Represent the local path fabrication time t based on the actual movement of the operator between the horizontal measurement points (i,j) as t (i,j) = t (i,j)c + t (i,j ) l (2) In formula (2), t (i,j)c is the time taken by the operator for stamping, and t (i,j)l is the time taken by the laser tracker; S202) Use the local path beating time t (i,j) to construct the local path cost time matrix T between every two horizontal measurement points dis When the number of horizontal measurement points involved is n, the potential path combinations are n! possibilities, where n! represents the factorial. S203) The solution space C of the global forging order problem represents the set of all permutations of horizontal measurement points, i.e., C = {C = (c1, c2, …, c n ) | (c1, c2, …, c n ) is a permutation of {1, 2, …, n}, where C represents a path traversing n horizontal measurement points, and c i represents the serial number of the horizontal measurement point in the i-th detection in a forging order; after the forging order of the horizontal measurement is determined, the total time for traversing all the approximation points of the horizontal measurement points can be obtained based on the local path cost time matrix information, which is the objective function: In formula (4), t(c1, c2, …, c m ) represents the total time of the horizontal measurement and punching sequence, represents the time consumed by the local path from the c i -th horizontal measurement point to the c i+1 -th horizontal measurement point, which can be directly obtained from the local path cost time matrix T dis ; S204) Obtain the minimum value of the time consumed by the horizontal measurement making order through algorithms such as simulated annealing. At this time, the global horizontal measurement and fabrication sequence is as follows: In formula (5), m = 1, 2, 3... n. Calculate the local optimal solution of the horizontal measurement making order through formula (5).

4. A method for punching an aircraft horizontal measurement point according to claim 1, characterized in that In step S300), use the tabu search algorithm to perform iterative calculation to find the shortest total horizontal measurement making order path, specifically as follows: S301) Initialize the parameters of the fusion algorithm and clear the tabu list. The fusion algorithm includes the simulated annealing algorithm and the tabu search algorithm. S302) Check whether the fusion algorithm reaches the stop condition. If it reaches, the fusion algorithm ends and returns the optimal path solution; if not, execute the simulated annealing algorithm to obtain the local optimal path. S303) Select the output of the simulated annealing algorithm obtained in step S302) as the initial solution set of the tabu search algorithm and set the current solution. S304) If the termination condition of the tabu search is satisfied, save the current optimization result, adjust the parameters of the simulated annealing algorithm, and then return to step S200); if not, continue to execute. S305) Construct a neighborhood solution set based on the current solution and its neighborhood function, and select a candidate solution set from it. S306) Perform the aspiration criterion determination on the candidate solution set selected in step S305). If a solution meets the conditions, update the corresponding element in the tabu list, lift its tabu status, and then return to step S400); if not, enter step S307). S307) Update the current solution to the best non-tabu solution in the candidate solution, and perform the corresponding element update on the tabu list. Then return to step S400) for a new round of iteration.

5. A method for punching an aircraft horizontal measurement point according to claim 1, characterized in that In step S400), the aircraft horizontal measurement point punching device includes a cavity, upper and lower fine-tuning knobs, left and right fine-tuning knobs, a supplementary lighting mechanism, a punching button, an observation mirror, and a handle. Among them, the upper and lower fine-tuning knobs and the left and right fine-tuning knobs are arranged at the front end of the cavity. The supplementary lighting mechanism is arranged below the front end of the cavity. A marking outlet for the coloring component to spray out colors to mark the horizontal measurement point is arranged on the cavity above the supplementary lighting mechanism. The observation mirror is arranged on the upper part of the cavity. The handle is arranged at the rear end of the cavity. A motor, a punching rod mechanism, a spring, and a coloring component are arranged inside the handle. The punching button arranged outside the handle is connected to the motor. The motor is connected to the punching rod mechanism. A spring is nested inside the punching rod mechanism. The spring is connected to the coloring component.

6. A method for punching aircraft horizontal measurement points according to claim 1, characterized in that, In step S400), the aircraft horizontal measurement point punching device is used to perform punching operations on the horizontal measurement points on the aircraft. Specifically: First, when punching, in cooperation with the dotting and photographing functions of the laser tracker, determine the center position of the laser tracker light spot. Determine the accurate center of the marking ring through the center fitting technology, and compare the center of this marking ring with the center of the laser marking point. If the difference between the two exceeds 0.5 pixels, perform fine-tuning until the difference is less than 0.5 pixels to ensure that the center of this device is completely aligned with the center of the laser marking point. Then, the operator manually calibrates the aircraft horizontal measurement point punching device by observing the observation mirror and fine-tuning the upper and lower fine-tuning knobs and the left and right fine-tuning knobs to control the punching position, and then starts the motor to execute the marking process through the punching button. When punching a point, with the spring force of the spring, the coloring component leaves a red horizontal measurement point mark on the horizontal measurement point through the marking outlet. Through fine-tuning and repeated comparison, ensure the high precision of the punching of the horizontal measurement point.

Images