A method for detecting positioning accuracy of electric slide

Through high-precision displacement sensor and inverse trigonometric function calculation method, combined with image analysis model, the problems of high measurement error and environmental requirements in the positioning accuracy detection of the electric sliding table are solved, and convenient and high-precision detection is achieved.

CN119043181BActive Publication Date: 2025-03-14DONGGUAN C&K MECHATRONIX CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Application Number
CN202411154757.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-21
Publication Date
2025-03-14
Estimated Expiration
2044-08-21

AI Technical Summary

Technical Problem

The existing electric sliding table positioning accuracy detection methods have problems of measurement errors and high environmental requirements, making it difficult to achieve convenient and high-precision detection.

Method used

High-precision displacement sensor components and inverse trigonometric function calculation methods are used, combined with image analysis model, to detect the rotation accuracy and absolute positioning accuracy of the electric sliding table, avoiding special environmental requirements and large-scale equipment layout.

Benefits of technology

A convenient measurement process is realized, while ensuring detection accuracy is ensured, and the problems of measurement errors and high environmental requirements are avoided.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119043181B_ABST
    Figure CN119043181B_ABST
Patent Text Reader

Abstract

The present invention discloses a method for detecting the positioning accuracy of an electric slide, which belongs to the field of methods for detecting the positioning accuracy of slides, and comprises the following steps: Step 1: Fix two displacement sensors on a fixture at a fixed parallel spacing to form a displacement sensor assembly, the numerical value of the spacing is defined as H, and the numerical values ​​displayed by the two displacement sensors are defined as w and m; Step 2: Fix the electric slide to be detected on a marble table, and then place the fixed displacement sensor assembly on one side of the electric slide for detecting the rotation accuracy; Step 3: Return the angle of the electric slide to zero and set it as the origin, and then adjust the displacement sensor assembly to be parallel to and in contact with the moving side of the electric slide; Step 4: Finely adjust the displacement sensor assembly so that the data accuracy measured by the two displacement sensors is controlled within ±0.001mm; Step 5: After the electric slide rotates an angle β. The present invention makes the measurement convenient without affecting the accuracy of the detection.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The invention relates to the field of slide table positioning accuracy detection methods, in particular to a method for detecting the positioning accuracy of an electric slide table. Background Art

[0002] At present, the equipment used to detect the accuracy of rotary slides in the known industry generally uses visual projection and three-coordinate measuring machines. Conventional visual inspection usually places a lens above the precision platform, captures the image through the lens, and converts the image resolution into a coordinate system. After the platform is moved, the software automatically calculates the changed pixels and determines the accuracy of the movement by converting the pixels into coordinates. The conventional three-coordinate measuring machine uses spatial geometric acquisition calculations to define the three axes of X\Y\Z. Each axis is equipped with a grating ruler, and a detection system is installed on the vertical Z axis, consisting of a probe and a contact probe. The coordinates in the geometric space are obtained through the contact between the probe and the platform. The movement accuracy is then obtained based on software calculations.

[0003] However, existing visual inspections usually cannot use higher-resolution lenses, and the lenses and inspection systems need to be placed on a fixed device. Low-resolution lenses will result in low pixel points, low conversion accuracy, and thus measurement errors. The three-coordinate measuring instrument has high requirements for the use environment, and a special laboratory is required to arrange the three-coordinate measuring instrument, which is expensive. The measurement accuracy can only be guaranteed by maintaining the temperature and humidity allowed by the three coordinates and preventing any interference sources around. Therefore, how to make the measurement convenient without affecting the accuracy of the inspection has become a difficult problem that needs to be solved urgently.

[0004] Therefore, those skilled in the art provide a method for detecting the positioning accuracy of an electric slide to solve the problems raised in the above background technology. Summary of the invention

[0005] The purpose of the present invention is to provide a method for detecting the positioning accuracy of an electric slide, which makes the measurement convenient without affecting the detection accuracy, so as to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for detecting positioning accuracy of an electric slide comprises the following steps:

[0008] Step 1: Fix two displacement sensors on a fixture at a fixed parallel distance to form a displacement sensor assembly. The distance is defined as H, and the values ​​displayed by the two displacement sensors are defined as w and m.

[0009] Step 2: Fix the electric slide to be tested on the marble table, and then place the fixed displacement sensor assembly on one side of the electric slide to detect the rotation accuracy;

[0010] Step 3: Return the angle of the electric slide to zero and set it as the origin, and then adjust the displacement sensor assembly to be parallel and in contact with the moving side of the electric slide;

[0011] Step 4: Slightly adjust the displacement sensor assembly so that the data accuracy measured by the two displacement sensors is controlled within ±0.001mm;

[0012] Step 5: When the electric slide rotates an angle β, the two displacement sensors will move in opposite directions, and the values ​​of the sensors will change. At this time, the values ​​of the two sensors are obtained and defined as W and M.

[0013] Step 6: After obtaining the two values, calculate the difference between the two displacement sensors, namely WM, and the difference is defined as R;

[0014] Step 7: Use the inverse trigonometric function arctan(R / H) to calculate the rotation angle, and define the rotation angle as α;

[0015] Step 8: Calculate the absolute positioning accuracy of the electric slide (β-α);

[0016] Step 9: Build an image analysis model to analyze the detection process and determine whether there are any abnormalities. If there are any abnormalities in the detection process, return to step 1.

[0017] As a further solution of the present invention: the specific analysis process of the image analysis model is:

[0018] The camera collects image information of the electric slide and two displacement sensors on the marble table from top to bottom;

[0019] The electric slide image collected when the electric slide angle returns to zero is marked as A 初始 , and then the electric slide image collected at each time interval T during the process of rotating the electric slide by an angle β is marked as ai, i=1···n, where n is a positive integer;

[0020] Construct a rotation smoothness analysis sub-model to analyze whether there are any abnormalities in the rotation process of the electric slide;

[0021] Construct a rotation analysis sub-model to analyze whether there is abnormal rotation after the electric slide rotates;

[0022] The images collected by the two displacement sensors when the electric slide returns to zero angle are marked as D and E;

[0023] The two displacement sensor images collected after the electric slide is rotated by an angle β are marked as d and e respectively;

[0024] A sensor offset analysis model is constructed to analyze whether the displacement sensor is offset when the electric slide rotates.

[0025] As a further solution of the present invention: the specific analysis process of the rotational fluency analysis sub-model is:

[0026] Take a corner of the electric slide on ai as the feature point P;

[0027] Draw a circle with the rotation center of the electric slide as the center and the distance from the center to P as the radius to obtain circle Q;

[0028] Mark the positions of two adjacent points P in ai on circle Q as p1 and p2 respectively;

[0029] Determine whether p1 and p2 are located on the outer contour of circle Q. If both p1 and p2 are located on the outer contour of circle Q, proceed to the next step. If either p1 or p2 is not located on the outer contour of circle Q, it indicates that there is an abnormality in the rotation process of the electric slide.

[0030] Calculate the arc lengths of p1 and p2 on the outer contour of circle Q through image recognition, marked as Δp1;

[0031] Compare Δp1 with the preset value Δp2. If the absolute value of the difference between Δp1 and Δp2 is greater than the preset value, Δp1 is planned to the first sequence. If the absolute value of the difference between Δp1 and Δp2 is less than or equal to the preset value, Δp1 is planned to the second sequence.

[0032] Count the number of Δp1 in the first sequence and mark it as X, and count the number of Δp2 in the second sequence and mark it as Y;

[0033] Calculate the abnormality degree Z=X / (X+Y), and then compare Z with the preset value z. If Z>z, it means that there is an abnormality in the rotation process of the electric slide. If Z≤z, it means that the rotation process of the electric slide is normal.

[0034] As a further solution of the present invention: the specific analysis process of the rotation analysis sub-model is:

[0035] The image of the electric slide collected when the electric slide stops rotating is marked as A 停止 , and then mark the electric slide image collected one second after the electric slide stops rotating as A 参照 ;

[0036] A 停止 The outer contour of the electric slide is marked as B1, and then A 参照 The outer contour of the middle electric slide is marked as B2;

[0037] Overlap B1 and B2, calculate the overlapping area and mark it as C重合 ;

[0038] The outer contour area of ​​the electric slide is marked as C 轮廓 , and then calculate the overlap between B1 and B2 v = (C 重合 / C 轮廓 );

[0039] Compare v with the preset value V. If v < V, it means that there is an abnormal rotation after the electric slide rotates, and go to the next step. If v ≥ V, it means that there is no abnormal rotation after the electric slide rotates.

[0040] Perform risk assessment on the abnormal rotation condition of the electric slide after the current rotation and output the assessment results.

[0041] As a further solution of the present invention: the specific process of the risk assessment is:

[0042] If (v / V) ≥ 95%, it means that the risk of abnormal rotation after the current rotation of the electric slide is level 1;

[0043] If 95%>(v / V)≥90%, it means that the risk of abnormal rotation after the current rotation of the electric slide is level 2;

[0044] If (v / V) < 90%, it means that the risk of abnormal rotation after the current rotation of the electric slide is level three.

[0045] As a further solution of the present invention: the specific analysis process of the sensor offset analysis model is:

[0046] The central axis of the displacement sensor in image D is marked as DD, and the central axis of the displacement sensor in image E is marked as EE;

[0047] The central axis of the displacement sensor in image d is marked as dd, and the central axis of the displacement sensor in image e is marked as ee;

[0048] Overlap image D with image d, and use image recognition technology to determine whether there is an angle between DD and dd. If there is an angle, mark the angle as Δd;

[0049] Overlap image E with image e, and use image recognition technology to determine whether there is an angle between EE and ee. If there is an angle, mark the angle as Δe;

[0050] If there is no angle between DD and dd, or between EE and ee, it means that the displacement sensor has not deviated when the electric slide table rotates; if there is an angle between DD and dd, or between EE and ee, it means that the displacement sensor has deviated when the electric slide table rotates, and the process goes to the next step;

[0051] Evaluate the risk level of displacement sensor deflection when the motorized slide is rotating.

[0052] As a further solution of the present invention: the specific process of evaluating the deviation risk level is:

[0053] Calculate the integrated offset angle of the two displacement sensors, that is, (Δd+Δe), and then mark the preset integrated offset angle as Δf;

[0054] If (Δd+Δe)<Δf, the output deviation risk level is level one;

[0055] If Δf≤(Δd+Δe)<2*Δf, the output offset risk level is level 2;

[0056] If 2*Δf≤(Δd+Δe), the output offset risk level is level three.

[0057] As a further solution of the present invention: the absolute positioning accuracy of the electric slide and the analysis results of the image analysis model are displayed to the staff through a visualization module, wherein the visualization module includes a display screen, and the display interface of the display screen is divided into four areas, which respectively correspond to the absolute positioning accuracy of the electric slide, the analysis results of the rotation smoothness analysis sub-model, the analysis results of the rotation analysis sub-model, and the analysis results of the sensor offset analysis model.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] 1. This application uses a new detection method that does not require special environmental requirements and does not require the deployment of large equipment, making measurement convenient.

[0060] 2. The detection method of the present application adopts high-precision displacement sensor detection, and then combines inverse trigonometric functions to calculate the precise angle, avoiding affecting the detection accuracy while ensuring convenient measurement.

[0061] 3. This application uses the constructed image analysis model to analyze from three perspectives whether there are external factors affecting the detection accuracy during the detection process. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a flow chart of a method for detecting the positioning accuracy of an electric slide;

[0063] Figure 2 This is a combined view of a displacement sensor assembly and an electric slide in a method for detecting positioning accuracy of an electric slide.

[0064] In the figure: 1. Marble table; 2. Clamp; 3. Displacement sensor; 4. Electric slide. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] As mentioned in the background technology of this application, it has been found through research that if the existing detection method of the positioning accuracy of the electric slide table pursues high precision, the detection will be not simple enough, while if the detection is simple, the accuracy will be affected, which has certain defects.

[0067] In order to solve the above-mentioned defects, the present application discloses a method for detecting the positioning accuracy of an electric slide, which makes the measurement convenient without affecting the detection accuracy.

[0068] The following will describe in detail how the solution of the present application solves the above technical problems in conjunction with the accompanying drawings.

[0069] See also Figure 1In an embodiment of the present invention, a method for detecting the positioning accuracy of an electric slide comprises the following steps: Step 1: Fix two displacement sensors 3 on a fixture 2 at a fixed parallel interval to form a displacement sensor assembly, the numerical value of the interval is defined as H, and the numerical values ​​displayed by the two displacement sensors 3 are defined as w and m; Step 2: Fix the electric slide 4 to be detected on a marble table 1, and then place the fixed displacement sensor assembly on one side of the electric slide 4 for detecting the rotation accuracy; Step 3: Return the angle of the electric slide 4 to zero and set it as the origin, and then adjust the displacement sensor assembly to be parallel to and in contact with the moving side of the electric slide 4; Step 4: Fine-adjust the displacement sensor assembly so that the data accuracy measured by the two displacement sensors 3 (i.e., the difference between w and m) is Control it within ±0.001mm; Step 5: When the electric slide 4 rotates an angle β, the two displacement sensors 3 will move in opposite directions, and the value of the displacement sensor 3 will change. At this time, the values ​​of the two displacement sensors 3 are obtained and defined as W and M; Step 6: After obtaining the two values, the difference between the two displacement sensors 3 is calculated, that is, WM, and the difference is defined as R; Step 7: Use the inverse trigonometric function arctan (R / H) to calculate the rotation angle, and define the rotation angle as α; Step 8: Calculate the absolute positioning accuracy (β-α) of the electric slide 4; Step 9: Construct an image analysis model, analyze the detection process and determine whether there is an abnormality. If there is an abnormality in the detection process, return to step 1. This application uses a new detection method that does not require special environmental requirements and does not require the layout of large equipment, making measurement convenient. Among them, the displacement sensor 3 uses a high-precision displacement sensor, also known as a high-precision linear sensor, which is a precision sensor that converts displacement into electrical quantity. It has a wide range of applications in many fields such as industrial manufacturing, automation control, aerospace, and scientific research experiments. High-precision displacement sensors can be divided into many types according to different measurement principles and technical means, including but not limited to: Inductive high-precision displacement sensor: using the principle of metal induction, the displacement is measured by detecting the eddy current generated when a metal object approaches the sensing surface. Capacitive high-precision displacement sensor: detecting displacement by measuring the change in the dielectric constant or pole distance between the capacitor plates. Photoelectric high-precision displacement sensor: using the photoelectric effect or photosensitive elements to receive changes in light flux to measure displacement, with the advantages of non-contact and continuous measurement. Ultrasonic high-precision displacement sensor: measuring displacement by emitting ultrasonic waves and receiving their reflected waves, suitable for long-distance and non-contact measurement. Hall-type high-precision displacement sensor: based on the Hall effect, it detects displacement by measuring changes in the magnetic field, and has the characteristics of high frequency response and reliable operation.

[0070] In this embodiment, the specific analysis process of the image analysis model is: the image information of the electric slide 4 and the two displacement sensors 3 on the marble table 1 is collected from top to bottom by the camera; the image of the electric slide 4 collected when the angle of the electric slide 4 returns to zero is marked as A 初始 , and then mark the images of the electric slide 4 collected at each interval T during the process of rotating the electric slide 4 by an angle β as ai, i=1···n, where n is a positive integer; construct a rotation smoothness analysis sub-model to analyze whether there is an abnormality in the rotation process of the electric slide 4; construct a rotation analysis sub-model to analyze whether there is a rotation abnormality after the electric slide 4 rotates; mark the images collected by the two displacement sensors 3 when the angle of the electric slide 4 returns to zero as D and E; mark the two displacement sensor 3 images collected after the electric slide 4 rotates by an angle β as d and e respectively; construct a sensor offset analysis model to analyze whether the displacement sensor 3 is offset when the electric slide 4 rotates. This application uses the constructed image analysis model to analyze whether there are external factors affecting the detection accuracy during the detection process from three perspectives.

[0071] In this embodiment, the specific analysis process of the rotation smoothness analysis sub-model is as follows: take a corner of the electric slide 4 on ai as the feature point P; draw a circle with the rotation center of the electric slide 4 as the center and the distance from the center to P as the radius to obtain the circle Q; mark the positions of the two adjacent points P in ai on the circle Q as p1 and p2 respectively; determine whether p1 and p2 are located on the outer contour of the circle Q, if both p1 and p2 are located on the outer contour of the circle Q, proceed to the next step, if any of p1 and p2 is not located on the outer contour of the circle Q, it means that there is an abnormality in the rotation process of the electric slide 4; calculate the outer contour of p1 and p2 on the circle Q through image recognition. The length of the arc on the circular contour is marked as Δp1; Δp1 is compared with the preset value Δp2. If the absolute value of the difference between Δp1 and Δp2 is greater than the preset value, Δp1 is planned to the first sequence; if the absolute value of the difference between Δp1 and Δp2 is less than or equal to the preset value, Δp1 is planned to the second sequence; the number of Δp1 in the first sequence is counted and marked as X, and the number of Δp2 in the second sequence is counted and marked as Y; the abnormality degree Z = X / (X+Y) is calculated, and then Z is compared with the preset value z. If Z>z, it means that there is an abnormality in the rotation process of the electric slide 4. If Z≤z, it means that the rotation process of the electric slide 4 is normal. Image recognition technology refers to the technology of using computers to process, analyze and understand the input image to identify various target objects in the image and extract relevant information. It is a core task in the field of computer vision, which aims to enable computers to have the ability to understand and judge the content of the image like humans. The process of image recognition usually includes steps such as information acquisition, information preprocessing, feature extraction and selection, and recognition and classification.

[0072] In this embodiment, the specific analysis process of the rotation analysis sub-model is as follows: the image of the electric slide 4 collected when the electric slide 4 stops rotating is marked as A 停止 , and then mark the image of the electric slide 4 collected one second after the electric slide 4 stops rotating as A 参照 ; A 停止 The outer contour of the electric slide 4 is marked as B1, and then A 参照 The outer contour of the electric slide 4 is marked as B2; overlap B1 and B2, calculate the overlapping area between the two and mark it as C 重合 ; Mark the outer contour area of ​​the electric slide 4 as C 轮廓 , and then calculate the overlap between B1 and B2 v = (C 重合 / C 轮廓 ); compare v with the preset value V. If v<V, it means that there is an abnormal rotation phenomenon after the electric slide 4 rotates, and enter the next step. If v≥V, it means that there is no abnormal rotation phenomenon after the electric slide 4 rotates; perform risk assessment on the abnormal rotation condition of the electric slide 4 after the current rotation, and output the assessment result. The rotation of the electric slide 4 will affect the final detection result. For this reason, this application needs to analyze and compare this phenomenon.

[0073] In this embodiment, the specific process of risk assessment is: if (v / V) ≥ 95%, it means that the risk of abnormal rotation of the electric slide 4 after the current rotation is level 1; if 95% > (v / V) ≥ 90%, it means that the risk of abnormal rotation of the electric slide 4 after the current rotation is level 2; if (v / V) < 90%, it means that the risk of abnormal rotation of the electric slide 4 after the current rotation is level 3. Different risk levels facilitate the staff to clearly and intuitively understand the severity of the rotation of the electric slide 4.

[0074] In this embodiment, the specific analysis process of the sensor offset analysis model is as follows: mark the central axis of the displacement sensor 3 in image D as DD, and then mark the central axis of the displacement sensor 3 in image E as EE; mark the central axis of the displacement sensor 3 in image d as dd, and then mark the central axis of the displacement sensor 3 in image e as ee; overlap image D with image d, and use image recognition technology to determine whether there is an angle between DD and dd, if there is an angle, mark the angle as Δd; overlap image E with image e, and use image recognition technology to determine whether there is an angle between EE and ee, if there is an angle, mark the angle as Δe; if there is no angle between DD and dd, and between EE and ee, it means that the displacement sensor 3 has no offset when the electric slide 4 rotates; if there is an angle between DD and dd, and between EE and ee, it means that the displacement sensor 3 has offset when the electric slide 4 rotates, and proceed to the next step; evaluate the offset risk level of the displacement sensor 3 when the electric slide 4 rotates. The detection method of the present application adopts high-precision displacement sensor detection, and then combines inverse trigonometric functions to calculate the precise angle, thereby avoiding affecting the detection accuracy while ensuring convenient measurement.

[0075] In this embodiment, the specific process of evaluating the offset risk level is: calculating the comprehensive offset angle of the two displacement sensors 3, that is, (Δd+Δe), and then marking the preset comprehensive offset angle as Δf; if (Δd+Δe)<Δf, the output offset risk level is level one; if Δf≤(Δd+Δe)<2*Δf, the output offset risk level is level two; if 2*Δf≤(Δd+Δe), the output offset risk level is level three. This setting can facilitate the staff to clearly and intuitively understand the offset status of the displacement sensor 3.

[0076] In this embodiment, the absolute positioning accuracy of the electric slide 4 and the analysis results of the image analysis model are displayed to the staff through a visualization module, wherein the visualization module includes a display screen, and the display interface of the display screen is divided into four areas, which respectively correspond to the absolute positioning accuracy of the electric slide 4, the analysis results of the rotation smoothness analysis sub-model, the analysis results of the slewing analysis sub-model, and the analysis results of the sensor offset analysis model. This setting facilitates the staff to clearly and intuitively understand the detection results and analysis results.

[0077] The present invention uses a new detection method that does not require special environmental requirements and does not require the deployment of large equipment, making measurement convenient. The detection method uses a high-precision displacement sensor for detection, and then combines inverse trigonometric functions to calculate the precise angle, while ensuring that the measurement is convenient to avoid affecting the accuracy of the detection. This application uses the constructed image analysis model to analyze whether there are external factors affecting the detection accuracy from three perspectives during the detection process.

[0078] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0079] What is described above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for detecting positioning accuracy of an electric slide, characterized in that: The following steps are involved: Step 1: Fix two displacement sensors on a fixture at a fixed parallel distance to form a displacement sensor assembly. The distance is defined as H, and the values ​​displayed by the two displacement sensors are defined as w and m. Step 2: Fix the electric slide to be tested on the marble table, and then place the fixed displacement sensor assembly on one side of the electric slide to detect the rotation accuracy; Step 3: Return the angle of the electric slide to zero and set it as the origin, and then adjust the displacement sensor assembly to be parallel and in contact with the moving side of the electric slide; Step 4: Slightly adjust the displacement sensor assembly so that the data accuracy measured by the two displacement sensors is controlled within ±0.001mm; Step 5: When the electric slide rotates an angle β, the two displacement sensors will move in opposite directions, and the values ​​of the sensors will change. At this time, the values ​​of the two sensors are obtained and defined as W and M. Step 6: After obtaining the two values, calculate the difference between the two displacement sensors, namely WM, and the difference is defined as R; Step 7: Use the inverse trigonometric function arctan(R / H) to calculate the rotation angle, and define the rotation angle as α; Step 8: Calculate the absolute positioning accuracy of the electric slide (β-α); Step 9: Build an image analysis model to analyze the detection process and determine whether there are any abnormalities. If there are any abnormalities in the detection process, return to step 1.

2. The method for detecting positioning accuracy of an electric slide according to claim 1, characterized in that: The specific analysis process of the image analysis model is as follows: The camera collects image information of the electric slide and two displacement sensors on the marble table from top to bottom; The electric slide image collected when the electric slide angle returns to zero is marked as A 初始 , and then the electric slide image collected at each time interval T during the process of rotating the electric slide by an angle β is marked as ai, i=1···n, where n is a positive integer; Construct a rotation smoothness analysis sub-model to analyze whether there are any abnormalities in the rotation process of the electric slide; Construct a rotation analysis sub-model to analyze whether there is abnormal rotation after the electric slide rotates; The images collected by the two displacement sensors when the electric slide returns to zero angle are marked as D and E; The two displacement sensor images collected after the electric slide is rotated by an angle β are marked as d and e respectively; A sensor offset analysis model is constructed to analyze whether the displacement sensor is offset when the electric slide rotates.

3. The method for detecting positioning accuracy of an electric slide according to claim 2, characterized in that: The specific analysis process of the rotational fluency analysis sub-model is as follows: Take a corner of the electric slide on ai as the feature point P; Draw a circle with the rotation center of the electric slide as the center and the distance from the center to P as the radius to obtain circle Q; Mark the positions of two adjacent points P in ai on circle Q as p1 and p2 respectively; Determine whether p1 and p2 are located on the outer contour of circle Q. If both p1 and p2 are located on the outer contour of circle Q, proceed to the next step. If either p1 or p2 is not located on the outer contour of circle Q, it indicates that there is an abnormality in the rotation process of the electric slide. Calculate the arc lengths of p1 and p2 on the outer contour of circle Q through image recognition, marked as Δp1; Compare Δp1 with the preset value Δp2. If the absolute value of the difference between Δp1 and Δp2 is greater than the preset value, Δp1 is planned to the first sequence. If the absolute value of the difference between Δp1 and Δp2 is less than or equal to the preset value, Δp1 is planned to the second sequence. Count the number of Δp1 in the first sequence and mark it as X, and count the number of Δp2 in the second sequence and mark it as Y; Calculate the abnormality degree Z=X / (X+Y), and then compare Z with the preset value z. If Z>z, it means that there is an abnormality in the rotation process of the electric slide. If Z≤z, it means that the rotation process of the electric slide is normal.

4. The method for detecting positioning accuracy of an electric slide according to claim 3, characterized in that: The specific analysis process of the rotation analysis sub-model is as follows: The image of the electric slide collected when the electric slide stops rotating is marked as A 停止 , and then mark the electric slide image collected one second after the electric slide stops rotating as A 参照 ; A 停止 The outer contour of the electric slide is marked as B1, and then A 参照 The outer contour of the middle electric slide is marked as B2; Overlap B1 and B2, calculate the overlapping area and mark it as C 重合 ; The outer contour area of ​​the electric slide is marked as C 轮廓 , and then calculate the overlap between B1 and B2 v = (C 重合 / C 轮廓 ); Compare v with the preset value V. If v < V, it means that there is an abnormal rotation after the electric slide rotates, and go to the next step. If v ≥ V, it means that there is no abnormal rotation after the electric slide rotates. Perform risk assessment on the abnormal rotation condition of the electric slide after the current rotation and output the assessment results.

5. A method for detecting positioning accuracy of an electric slide according to claim 4, characterized in that: The specific process of risk assessment is as follows: If (v / V) ≥ 95%, it means that the risk of abnormal rotation after the current rotation of the electric slide is level 1; If 95%>(v / V)≥90%, it means that the risk of abnormal rotation after the current rotation of the electric slide is level 2; If (v / V) < 90%, it means that the risk of abnormal rotation after the current rotation of the electric slide is level three.

6. A method for detecting positioning accuracy of an electric slide according to claim 5, characterized in that: The specific analysis process of the sensor offset analysis model is as follows: The central axis of the displacement sensor in image D is marked as DD, and the central axis of the displacement sensor in image E is marked as EE; The central axis of the displacement sensor in image d is marked as dd, and the central axis of the displacement sensor in image e is marked as ee; Overlap image D with image d, and use image recognition technology to determine whether there is an angle between DD and dd. If there is an angle, mark the angle as Δd; Overlap image E with image e, and use image recognition technology to determine whether there is an angle between EE and ee. If there is an angle, mark the angle as Δe; If there is no angle between DD and dd, and between EE and ee, it means that the displacement sensor does not deviate when the electric slide rotates; If there is an angle between DD and dd, or between EE and ee, it means that the displacement sensor is offset when the electric slide rotates, and the next step is entered; Evaluate the risk level of displacement sensor deflection when the motorized slide is rotating.

7. A method for detecting positioning accuracy of an electric slide according to claim 6, characterized in that: The specific process of evaluating the deviation risk level is as follows: Calculate the integrated offset angle of the two displacement sensors, that is, (Δd+Δe), and then mark the preset integrated offset angle as Δf; If (Δd+Δe)<Δf, the output deviation risk level is level one; If Δf≤(Δd+Δe)<2*Δf, the output offset risk level is level 2; If 2*Δf≤(Δd+Δe), the output offset risk level is level three.

8. The method for detecting positioning accuracy of an electric slide according to claim 7, characterized in that: The absolute positioning accuracy of the electric slide and the analysis results of the image analysis model are displayed to the staff through a visualization module, wherein the visualization module includes a display screen, and the display interface of the display screen is divided into four areas, which respectively correspond to the absolute positioning accuracy of the electric slide, the analysis results of the rotation smoothness analysis sub-model, the analysis results of the rotation analysis sub-model, and the analysis results of the sensor offset analysis model.

Citation Information

Patent Citations

  • Light veil type laser based high precision position and posture detection method and apparatus

    CN101308015A

  • Rotor offset angle determination method and correction device

    CN106895797A