Sensor installation angle optimization system

Abstract

A sensor installation angle optimization system relates to the technical field of precision machinery detection. The invention aims to solve the problem of poor detection precision caused by harmonic suppression in a three-point method error separation technology. An angle result set is obtained by using a weight function optimization target equation; selecting a minimum value of an angle common factor; when the minimum value of the angle common factor is unique, taking an angle corresponding to the minimum value of the angle common factor as an optimal sensor mounting angle; and when the minimum value of the angle common factor is not unique, calculating Euclidean distances between all angles corresponding to the minimum value of the angle common factor and an expected optimal solution, and taking the angle corresponding to the minimum value of the Euclidean distances as an optimal sensor mounting angle. And the sensor is arranged on the angle dial according to the optimal sensor mounting angle so as to measure the detected rod on the machine tool.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of precision machinery detection. BACKGROUND

[0002] Machine tools are the main equipment for machining mechanical parts, and are machines for manufacturing machines. As the most important industrial production "mother machine" in the contemporary, the ultra-precision machine tool is also the key carrier to realize the ultra-precision machining technology. The spindle plays a role of bearing power and transmitting cutting motion to the tool in the machine tool, and its precision directly affects the performance of the machine tool. The spindle rotation error is one of the main evaluation indexes of the spindle precision, and the accurate measurement technology of the spindle rotation error seriously restricts the development of ultra-precision machining technology.

[0003] In order to accurately measure the spindle rotation error, researchers have proposed various error separation technologies such as reverse method, multi-step method, three-point method, etc., which can separate the spindle rotation error from the directly measured runout signal. However, the above error separation technologies have defects such as multiple installation times and high precision requirements, which often lead to increased difficulty of error measurement. Among them, the most widely used three-point method can be measured only once, but when the installation angle is not properly selected, it will cause harmonic suppression defects, resulting in poor measurement accuracy. SUMMARY

[0004] In order to solve the problem of poor detection accuracy caused by harmonic suppression in the three-point error separation technology, the present application provides a sensor installation angle optimization system to improve the accuracy of the three-point error separation technology.

[0005] The present application provides a sensor installation angle optimization system, which comprises an angle optimization unit, and the angle optimization unit is used for:

[0006] obtaining an angle result set by optimizing a target equation with a weight function;

[0007] selecting a minimum value of an angle common factor;

[0008] when the minimum value of the angle common factor is unique, taking the angle corresponding to the minimum value of the angle common factor as the optimal sensor installation angle;

[0009] when the minimum value of the angle common factor is not unique, calculating the Euclidean distance between all angles corresponding to the minimum value of the angle common factor and the expected optimal solution, and taking the angle corresponding to the minimum Euclidean distance as the optimal sensor installation angle.

[0010] In one possible design, the obtaining of the angle result set by optimizing the target equation with the weight function comprises:

[0011] The expression of the weight function optimization target equation is:

[0012]

[0013]

[0014] wherein H(k) is the error separation weight function corresponding to the harmonic number k, k = 2, 3, …, 50, x is the angle common factor, and φ are the angles between the central axis of one sensor and the central axes of the other two sensors, n and m are both positive integers;

[0015] The weight function optimization target equation satisfies the constraint:

[0016]

[0017] wherein H min is the minimum value allowed by the error separation weight function, H control is the difference value control range of the weight function, maxH(k) and minH(k) are the maximum and minimum values in H(k) respectively, and Δ is the minimum interval of the installation angles of adjacent sensors.

[0018] In one possible design, the calculation of the Euclidean distance between all angles corresponding to the minimum value of the angle common factor and the expected optimal solution includes:

[0019] The expression of the Euclidean distance D is:

[0020]

[0021] wherein H max (k) is the weight function corresponding to the expected optimal solution, x min is the angle common factor corresponding to the expected optimal solution, H'(k) and x' are the weight function and the angle common factor of the set of angles corresponding to the minimum value of the angle common factor respectively.

[0022] In one possible design, the sensor installation angle optimization system further comprises an auxiliary support, wherein a circular angle scale 4 is arranged on the auxiliary support, and the sensor 2 is arranged on the angle scale 4 according to the optimal sensor installation angle.

[0023] In one possible design, the auxiliary support further comprises three sliding blocks 3, a sliding block mounting plate 5, and a support structure.

[0024] The sliding block mounting plate 5 is fixed on the top of the support structure, and a circular hole and three arc-shaped sliding channels are formed in the sliding block mounting plate 5. The support structure is a hollow structure, and the circular hole, the three arc-shaped sliding channels, and the hollow structure of the support structure are coaxially arranged, so that the detected rod 1 can extend into the hollow space of the support structure from the circular hole. The angle scale 4 is coaxially fixed at the circular hole, and the three sliding blocks 3 are respectively connected with the three arc-shaped sliding channels in a sliding manner. The sliding blocks 3 are used to clamp the sensor 2.

[0025] In a possible design, the support structure comprises at least two support columns 6 and a base 7, the at least two support columns 6 are all fixed vertically on the base 7, and the enclosed area of all the support columns 6 is the hollow space of the support structure.

[0026] In a possible design, the sliding block 3 is provided with a sensor fixing groove 10, a sliding block and mounting plate screw hole 11 and two sensor fastening screw holes 12.

[0027] The sensor fixing groove 10 is used for arranging the sensor 2, the two sensor fastening screw holes 12 are respectively arranged on the two side walls of the sensor fixing groove 10, and the sliding block and mounting plate screw hole 11 is used for fixing the sliding block 3 on the sliding block mounting plate 5.

[0028] In a possible design, the auxiliary support further comprises a three-axis displacement platform 9, and the auxiliary support is fixed on the three-axis displacement platform 9.

[0029] In a possible design, the auxiliary support further comprises a top positioning ring 13, and the top positioning ring 13 is coaxially fixed at the top end of the circular hole of the sliding block mounting plate 5, so that the angle scale disc 4 can be fixed on the sliding block mounting plate 5 through the top positioning ring 13.

[0030] In a possible design, the boundary extension lines of the sliding block 3 pass through the center axis of the auxiliary support, and the two extension lines are at an angle of 30°.

[0031] The beneficial effects of the present application are as follows:

[0032] 1. The present application not only takes the function as the only target of angle optimization, but also considers the installation angle relationship, which is more comprehensive and accurate than the traditional optimization method.

[0033] 2. The angle constraint added by the present application for sensor angle optimization is more in line with the requirements of high-precision capacitive displacement sensor close-range measurement.

[0034] 3. The sensor installation angle optimization method in the present application has a simple process, is conducive to computer programming, has a simple post-processing process, and has a short optimization angle selection period.

[0035] 4. The measurement auxiliary support in the present application can be adjusted in angle at will according to different main shafts and different sensor measurement requirements, and can meet the measurement of main shaft rotation error under different working conditions by matching with a displacement table or other tooling.

[0036] 5、The installation angle optimization method and auxiliary support provided by the application can measure the roundness error of the detection rod and the rotation error of the main shaft dynamically under the working speed of the high-speed main shaft, the precision can reach sub-micron level, and only one installation and fixation is needed in the measurement process, which is high in precision and simple in operation.

[0037] In summary, the application is suitable for online measurement of the rotation precision of numerical control machine tools, high-speed main shafts and other rotating machines. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 is the flow chart of the angle optimization unit of the application;

[0039] Figure 2 is a schematic diagram of the multi-target optimization result of the sensor installation angle of the application;

[0040] Figure 3 is a schematic diagram of the structure of the auxiliary support of the application;

[0041] Figure 4 is a schematic diagram of the structure of the slider of the application.

[0042] Figure 5 is a schematic diagram of the structure of the angle dial set on the slider mounting plate of the application;

[0043] Figure 6 is a schematic diagram of the installation effect of the slider of the application.

[0044] Wherein, 1 is a detection rod, 2 is a sensor, 3 is a slider, 4 is an angle dial, 5 is a slider mounting plate, 6 is a support column, 7 is a base, 8 is a gasket, 9 is a three-axis displacement platform, 10 is a sensor fixing groove, 11 is a slider and mounting plate screw hole, 12 is a sensor fastening thread hole, and 13 is a top positioning ring. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the application will be described clearly and completely below in combination with the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application. It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other without conflict.

[0046] For the problem of harmonic suppression, the existing solution is to optimize the weight function |H(k)| to maximize its minimum value, i.e., max[min|H(k)|]. However, the harmonic suppression is caused by the weight function |H(k)| being equal to 0, and the size of the weight function |H(k)| has no strict correlation with the error separation accuracy, so the specific effect of the existing optimization scheme is questionable. Moreover, the optimization of the weight function is accompanied by the change of the sensor installation angle, that is, the installation fixture needs to be updated, which is extremely cumbersome for actual engineering applications.

[0047] Therefore, the sensor installation angle optimization system is provided to solve the above problems. The following will be combined with the accompanying drawings to describe the embodiments of the present application in detail. Figures 1 to 6 The sensor installation angle optimization system provided by the embodiments of the present application comprises an angle optimization unit, which is used for:

[0048] obtaining an angle result set by using a weight function optimization target equation;

[0049] selecting a minimum value of an angle common factor;

[0050] when the minimum value of the angle common factor is unique, taking the angle corresponding to the minimum value of the angle common factor as an optimal sensor installation angle;

[0051] when the minimum value of the angle common factor is not unique, calculating the Euclidean distance between all angles corresponding to the minimum value of the angle common factor and an expected optimal solution, and taking the angle corresponding to the minimum Euclidean distance as the optimal sensor installation angle.

[0052] In one embodiment, the step of obtaining the angle result set by using the weight function optimization target equation comprises:

[0053] The expression of the weight function optimization target equation is:

[0054]

[0055] wherein H(k) is an error separation weight function corresponding to the harmonic number k, k=2, 3,..., 50, x is an angle common factor, and φ are the included angles between the central axis of one sensor and the central axes of the other two sensors, and n and m are positive integers;

[0056] The weight function optimization target equation satisfies the constraint:

[0057]

[0058] wherein H min is the minimum value allowed by the error separation weight function, and H controlmaxH(k) and minH(k) are the maximum and minimum values in H(k), respectively, and Δ is the minimum interval of the installation angle of adjacent sensors.

[0059] In an embodiment, the calculation of the Euclidean distance between all angles corresponding to the minimum value of the angle common factor and the expected optimal solution comprises:

[0060] The expression of the Euclidean distance D is:

[0061]

[0062] wherein H max (k) is the weight function corresponding to the expected optimal solution, x min is the angle common factor corresponding to the expected optimal solution, and H'(k) and x' are the weight function and the angle common factor of the set of angles corresponding to the minimum value of the angle common factor, respectively.

[0063] In an embodiment, the sensor installation angle optimization system further comprises an auxiliary support, wherein a circular angle scale 4 is arranged on the auxiliary support, and the sensor 2 is arranged on the angle scale 4 according to the optimal sensor installation angle.

[0064] In an embodiment, the auxiliary support further comprises three sliding blocks 3, a sliding block mounting plate 5, and a support structure.

[0065] The sliding block mounting plate 5 is fixed on the top of the support structure, and a circular hole and three arc-shaped sliding channels are formed in the sliding block mounting plate 5. The support structure is a hollow structure, and the circular hole, the three arc-shaped sliding channels, and the hollow structure of the support structure are coaxially arranged, so that the detected rod 1 can extend into the hollow space of the support structure from the circular hole. The angle scale 4 is coaxially fixed at the circular hole, and the three sliding blocks 3 are respectively connected with the three arc-shaped sliding channels in a sliding manner. The sliding block 3 is used for clamping the sensor 2.

[0066] In an embodiment, the support structure comprises at least two support columns 6 and a base 7. The at least two support columns 6 are all fixed vertically on the base 7, and the combined area of all the support columns 6 is the hollow space of the support structure.

[0067] In an embodiment, the sliding block 3 is provided with a sensor fixing groove 10, a sliding block and mounting plate screw hole 11, and two sensor fastening screw holes 12.

[0068] The sensor fixing groove 10 is used for arranging the sensor 2. The two sensor fastening screw holes 12 are respectively located on the two side walls of the sensor fixing groove 10. The sliding block and mounting plate screw hole 11 is used for fixing the sliding block 3 on the sliding block mounting plate 5.

[0069] In one embodiment, the auxiliary bracket further includes a three-axis displacement platform 9 , and the auxiliary bracket is fixed on the three-axis displacement platform 9 .

[0070] In one embodiment, the auxiliary bracket also includes: a top positioning ring 13, which is coaxially fixed to the top of the circular hole of the slider mounting plate 5, so that the angle disc 4 can be fixed on the slider mounting plate 5 through the top positioning ring 13.

[0071] In one embodiment, the boundary extension line of the slider 3 passes through the central axis of the auxiliary bracket and the two extension lines form an angle of 30° with each other.

[0072] To further introduce the embodiments of this application, Figure 1 Provides an angle optimization method that comprehensively optimizes the size of the weight function and the relationship between the sensor installation angle; Figures 3 to 6 An ultra-precision spindle rotation error measurement auxiliary bracket is provided to facilitate installation angle adjustment. The above method and bracket are combined to form a sensor installation angle optimization system.

[0073] The angle optimization method for comprehensively optimizing the weight function size and the sensor installation angle relationship includes:

[0074] Step 1: Analyze the root cause of harmonic suppression problems and propose optimization goals

[0075] according to Figure 3 The sensor installation shown in the figure produces three sets of measurement signals. The error separation equation, Equation (1), can be derived based on the three-point error separation technique. The error separation equation shows that when the weight function is zero, the harmonics are inevitably unmeasurable, i.e., harmonic suppression.

[0076]

[0077] Where R represents the roundness signal; M represents the weighted measurement signals of the three sensor groups; j is the imaginary unit; k is the harmonic order; a and b are weighting coefficients, respectively, and they satisfy:

[0078]

[0079] in, is the angle between the central axis of the first sensor and the second sensor, and φ is the angle between the central axis of the first sensor and the third sensor.

[0080] Rewriting formula (2) into a form of different orders, we have:

[0081]

[0082] At this time, the different harmonic number error separation weight function H(k) can be rewritten as:

[0083]

[0084] Obviously, when k = 1, the weight function is zero, which is the reason why the three-point method does not contain the first-order harmonic. Similarly, it can be known that When kφ = 2mπ ± φ, the weight function H(k) is also zero, and harmonic suppression occurs, and n and m are both positive integers. On this basis, it is derived that there is an angle common factor x that satisfies the harmonic suppression occurrence condition, as follows:

[0085]

[0086] Based on the above derivation, the weight function and the angle common factor are optimized to obtain the weight function optimization target equation:

[0087]

[0088] Where H(k) represents the error separation weight function corresponding to the harmonic number k, k = 2, 3,..., 50, H(k) and the angle And φ and the calculation relationship of the harmonic number k is:

[0089]

[0090] x is the angle common factor, and there is:

[0091]

[0092] Step two, apply constraints to the weight function optimization target equation, when When the angle combination of H(k) and φ satisfies the conditions of formula (9) and formula (10) at the same time, it is considered to satisfy the constraint angle, which can be used for further screening:

[0093]

[0094] Where H min is the minimum value allowed by the error separation weight function, which is not less than 0.5; H control is the difference control range of the weight function, which is not higher than 5; maxH(k) and minH(k) are the maximum and minimum values in H(k), respectively.

[0095]

[0096] Where Δ is the minimum interval of the installation angle of adjacent two sensors, which is set to 30° according to the characteristics of the sensor.

[0097] Step three, based on step one and two can be obtained to meet the optimization condition angle result set, the weight function distribution as shown in Figure 2 The optimization result weight function distribution is uniform, and the values of each order are far away from zero.

[0098] Step four, according to the size of the angle common factor x, the angle combination in step three is sorted, and the angle combination corresponding to the minimum value of the angle common factor x is selected as the final result.

[0099] Step five, if there are multiple final results in step four, and a single optimal solution cannot be selected, then set an expected best solution, which corresponds to the optimal value of the weight function H(k) and the angle common factor x in each optimization target, calculate the Euclidean distance between all angle combinations in the final result set and the expected best solution, and select the minimum Euclidean distance as the final optimization result.

[0100] The Euclidean distance D between each optimization target of all angle combinations and the optimal value is calculated as follows:

[0101]

[0102] Wherein, H max (k) is the weight function corresponding to the expected best solution, x min is the angle common factor corresponding to the expected best solution, H'(k) and x' are the weight function and angle common factor corresponding to a group of angles in the final result set.

[0103] Finally, with the help of auxiliary support, the final optimization result is used for spindle rotation error measurement based on three-point error separation technology. The auxiliary support for ultra-precision spindle rotation error measurement is convenient for installation angle adjustment, which comprises:

[0104] The detected rod 1, the sensor 2, three sliders 3, an angle scale 4, a slider mounting plate 5, a support column 6, a base 7, a gasket 8, a three-axis displacement platform 9, a sensor fixing groove 10, a slider and mounting plate screw hole 11, a sensor fastening screw hole 12 and a top positioning ring 13.

[0105] The base 7 is provided with screw clearance holes for fixing on the displacement table 9. The support column 6 is vertically fixed on the upper surface of the base 7, and the sliding block mounting plate 5 is fixed on the top end of the support column 6. The sliding block mounting plate 5 is provided with a concentric circular hole and three arc-shaped sliding grooves. The support column 6 is provided with a detection hole in the middle, which is connected with the circular hole in a penetrating manner, and the axis lines are on the same straight line, so that the detected rod 1 can be inserted into the detection hole. The three sliding blocks 3 are respectively in sliding cooperation with the three arc-shaped sliding grooves, and the sliding blocks 3 are bolt-connected with the sliding block mounting plate 5. The top positioning ring 13 is coaxially arranged at the top end of the circular hole. The angle scale 4 is coaxially fixed with the circular hole through the top positioning ring 13. The upper surface of the angle scale 4 is marked with uniform angle lines, which are used for adjusting the installation angle of the sensor 2. The sliding block mounting plate 5, the support column 6, the base 7 and the top positioning ring 13 are integrally processed. Each of the sliding blocks 3 is provided with a fixing groove 10 for fixing the sensor 2 in a screw fastening manner. The three sliding blocks 3 are of the same specification, the installation surface between the sliding blocks 3 and the sliding block mounting plate 5 is parallel to the sensor fixing groove 10, and the sensor fixing groove 10 on the sliding block 3 is located at the middle position and is spaced apart from the sliding block boundary by 15°. After the sliding blocks 3 are installed, the boundary extension lines pass through the support center axis line and the two extension lines are 30° apart from each other, and the boundary line can be used for adjusting the angle of the sliding block. The sliding block mounting plate 5 is parallel to the base 7, so as to ensure that the axis line of the sensor fixing groove 10 is located in the same plane after installation. After the sensor 2 is installed, the three sensor center axis lines can intersect at a point, and the point is located on the center axis line of the detected rod 1.

[0106] The embodiment proposes improvement measures for the existing three-point method weight function optimization method, and no longer limits the optimization of the traditional weight function size. On this basis, optimization is performed based on the relationship between the installation angles, constraints are applied to the weight function and the angle which are more consistent with the actual measurement working conditions, and then a sensor installation angle which is more conducive to the precision implementation of the three-point method error separation technology is obtained. The measurement with the auxiliary support proposed in the embodiment can meet the dynamic measurement of the main shaft rotation error under different main shafts and different working conditions, has high measurement precision and simple operation process.

[0107] Although the present application is described herein with reference to particular embodiments, it is to be understood that these embodiments are merely exemplary of the principles and applications of the present application. It is therefore to be understood that numerous modifications can be made to the illustrative embodiments and that other arrangements can be devised without departing from the spirit and scope of the present application as defined by the appended claims. It is to be understood that all features that are described in relation to one embodiment can be combined with features of another embodiment. It is to be understood that features described in relation to separate embodiments can be used in combination with each other. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments. It is to be understood that features described in relation to separate embodiments can be used in combination with features described in relation to other embodiments.

Claims

1. A sensor mounting angle optimization system, characterized by, The angle optimization unit is used for: The angle result set is obtained by using a weight function to optimize a target equation; The minimum value of the angle common factor is selected; When the minimum value of the angle common factor is unique, the angle corresponding to the minimum value of the angle common factor is taken as the optimal sensor installation angle; When the minimum value of the angle common factor is not unique, the Euclidean distance between all angles corresponding to the minimum value of the angle common factor and the expected optimal solution is calculated, and the angle corresponding to the minimum Euclidean distance is taken as the optimal sensor installation angle.

2. The sensor installation angle optimization system of claim 1, wherein, The angle result set is obtained by using a weight function to optimize a target equation, and includes: The weight function optimization target equation expression is: where H(k) is the error separation weight function corresponding to the harmonic number k, k = 2, 3,..., 50, x is the angle common factor, and φ are the angles between the central axis of one sensor and the central axes of the other two sensors, and n and m are positive integers. The weight function optimization target equation satisfies the constraint: where H min is the minimum value allowed for the error separation weight function, H control is the difference value control range of the weight function, maxH(k) and minH(k) are the maximum and minimum values in H(k), respectively, and Δ is the minimum interval of the installation angles of adjacent two sensors.

3. The sensor installation angle optimization system of claim 2, wherein, The Euclidean distance between all angles corresponding to the minimum value of the angle common factor and the expected optimal solution is calculated, and includes: The expression of the Euclidean distance D is: where H max (k) is the weight function corresponding to the desired optimal solution, x min is the angle common factor corresponding to the desired optimal solution, H'(k) and x' are the weight function and the angle common factor of the set of angles corresponding to the minimum value of the angle common factor, respectively.

4. The sensor-mount angle-optimization system of claim 1, 2, or 3, wherein, The auxiliary support further includes a circular ring-shaped angle scale (4), and the sensor (2) is arranged on the angle scale (4) according to the optimal sensor installation angle.

5. The sensor installation angle optimization system of claim 4, wherein, The auxiliary support further includes three sliding blocks (3), a sliding block mounting plate (5) and a support structure. The sliding block mounting plate (5) is fixed on the top of the support structure, and a circular hole and three arc-shaped sliding channels are formed in the sliding block mounting plate (5). The support structure is a hollow structure, and the circular hole, the three arc-shaped sliding channels and the hollow structure of the support structure are coaxially arranged, so that the detected rod (1) can extend into the hollow space of the support structure from the circular hole. The angle scale (4) is coaxially fixed at the circular hole, and the three sliding blocks (3) are respectively connected with the three arc-shaped sliding channels in a sliding manner. The sliding block (3) is used for clamping the sensor (2).

6. The sensor installation angle optimization system of claim 5, wherein, The support structure includes at least two support columns (6) and a base (7). The at least two support columns (6) are all fixed vertically on the base (7), and the combined area of all the support columns (6) is the hollow space of the support structure.

7. The sensor-mount angle-optimization system of claim 5 or 6, wherein The sliding block (3) is provided with a sensor fixing groove (10), a sliding block and mounting plate screw hole (11) and two sensor fastening screw holes (12). The sensor fixing groove (10) is used for arranging the sensor (2). The two sensor fastening screw holes (12) are respectively located on the two side walls of the sensor fixing groove (10). The sliding block and mounting plate screw hole (11) is used for fixing the sliding block (3) on the sliding block mounting plate (5).

8. The sensor installation angle optimization system of claim 7, wherein, The auxiliary support further includes a three-axis displacement platform (9), and the auxiliary support is fixed on the three-axis displacement platform (9).

9. The sensor installation angle optimization system of claim 7, wherein, The auxiliary support further includes a top positioning ring (13), which is coaxially fixed on the top end of the circular hole of the sliding block mounting plate (5), so that the angle scale (4) can be fixed on the sliding block mounting plate (5) through the top positioning ring (13).

10. The sensor installation angle optimization system of claim 7, wherein, The boundary extension lines of the sliding block (3) pass through the center axis of the auxiliary support and form an angle of 30° with each other.

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