CN117491004A - High-precision spindle performance test method and system - Google Patents

High-precision spindle performance test method and system Download PDF

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Publication number
CN117491004A
CN117491004A CN202311839492.9A CN202311839492A CN117491004A CN 117491004 A CN117491004 A CN 117491004A CN 202311839492 A CN202311839492 A CN 202311839492A CN 117491004 A CN117491004 A CN 117491004A
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infrared
precision
boundary
preset
point
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CN117491004B (en
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王连树
刘锋华
王博弘
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Sanhe Haozhi Precision Machinery Manufacturing Co ltd
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Sanhe Haozhi Precision Machinery Manufacturing Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/002—Measuring arrangements characterised by the use of optical techniques for measuring two or more coordinates
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Gearings; Transmission mechanisms
    • G01M13/025—Test-benches with rotational drive means and loading means; Load or drive simulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/02—Gearings; Transmission mechanisms
    • G01M13/027—Test-benches with force-applying means, e.g. loading of drive shafts along several directions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
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Abstract

The invention discloses a high-precision spindle performance test method and system, which relate to the technical field of high-precision spindle manufacturing, and particularly discloses a method for generating infrared trigger characteristics and virtual shadow boundary characteristics, constructing and generating a first infrared trigger expression model and a first visual expression model, comparing first difference characteristics of the two models, determining whether to generate a first actual expression model according to the first difference characteristics, determining a first deformation index of a high-precision spindle based on the expression characteristics of the first actual expression model, and determining the credibility of the first deformation index based on the integral expression of the first difference characteristics of multiple rounds of test.

Description

High-precision spindle performance test method and system
Technical Field
The invention relates to the technical field of high-precision spindle manufacturing, in particular to a high-precision spindle performance test method and system.
Background
High precision spindles are one of the key components in mechanical systems, mainly for driving and supporting rotational movement of tools or workpieces. The high-precision spindle has important functions in various application fields, such as a numerical control machine tool and precision machining equipment, so that the high-precision spindle has strict requirements on the deformation resistance, and the deformation resistance of the high-precision spindle needs to be tested in order to ensure that the high-precision spindle meets the application standard.
In the prior art, the deformation resistance test of the high-precision spindle usually applies an acting force to the side part of the spindle under the static condition of the spindle, and analyzes the deformation condition of the spindle.
Disclosure of Invention
The invention aims to provide a high-precision spindle performance testing method and system with more accurate testing and more visual and reliable testing expression.
The invention discloses a high-precision spindle performance test method, which comprises the following steps:
the infrared detection array comprises a plurality of infrared detection devices arranged on two sides of the high-precision spindle;
the device is provided with a video shooting device which is arranged at the side part of the high-precision main shaft;
according to a preset test rotating speed sequence, the high-precision main shaft is driven to rotate successively;
according to a preset test load sequence, applying load characteristics to the high-precision main shaft at different test rotating speeds;
acquiring infrared triggering characteristics of each infrared detection device in the infrared detection array in real time, and acquiring virtual shadow boundary characteristics of a high-precision main shaft shot by a video shooting device in real time;
analyzing triggering characteristics of the infrared detection device, constructing and generating a first infrared triggering expression model, analyzing shot virtual shadow boundary characteristics, and constructing and generating a first visual expression model;
comparing the first infrared trigger expression model with the first visual expression model under the same test standard, determining a first difference characteristic, and determining whether to generate a first actual expression model based on the first difference characteristic;
and determining a first deformation index of the high-precision spindle based on the performance characteristics of the first actual performance model generated under different test standards, and determining the credibility of the first deformation index of the high-precision spindle based on the overall performance of the first difference characteristics of a plurality of continuous tests.
In some embodiments of the present disclosure, further comprising:
if the reliability of the first deformation index of the high-precision main shaft is smaller than a preset value, performing a second wheel deformation test on the high-precision main shaft;
the method for carrying out the second wheel deformation test on the high-precision main shaft comprises the following steps:
setting a plurality of detection points aiming at the side part of the high-precision main shaft, applying preset test force to different detection points of the high-precision main shaft, and collecting the static boundary characteristics of the high-precision main shaft shot by the video shooting device after the preset test force is applied each time for a preset time;
and analyzing the static boundary characteristics of different detection points to obtain a second deformation index.
In some embodiments of the present disclosure, a method of determining a static boundary feature of a high precision spindle includes:
performing visual analysis on the image shot by the visual shooting device to determine the entity boundary of the high-precision main shaft;
analyzing the relative positions of a plurality of preset reference points of the entity boundary of the high-precision spindle, and obtaining a second deformation index based on the relative position characteristics of different preset reference points.
In some embodiments of the present disclosure, a method for analyzing the relative positions of a plurality of preset reference points of a physical boundary of a high-precision spindle includes:
establishing a first image coordinate system for an image shot by a visual shooting device, and determining a reference coordinate of each preset reference point on the physical boundary of a high-precision main shaft;
continuously analyzing the reference coordinates of all the preset reference points one by one, associating a plurality of preset reference points which are adjacent and have a coordinate interval smaller than a preset coordinate comparison interval, recording the coordinates of the preset reference points, and constructing a unilateral coordinate set of a high-precision spindle;
analyzing all reference coordinates in the unilateral coordinate set, determining a highest reference coordinate point and a lowest reference coordinate point, and establishing a first comparison reference line based on the highest reference coordinate point and the lowest reference coordinate point;
dynamically adjusting the first comparison reference line for a plurality of times based on a preset slope adjustment stepping scale and an intercept adjustment stepping scale to generate a plurality of second comparison reference lines;
calculating single-point distances of all preset reference points relative to a second comparison reference line, calculating an accumulated sum of the single-point distances corresponding to all the preset reference points, marking the accumulated sum as a total distance, and selecting the second comparison reference line with the smallest total distance as an application comparison reference line;
analyzing the single-point distance of each reference coordinate in the unilateral coordinate set by relatively applying comparison reference lines, and if the single-point distance is larger than the reference coordinate with a preset value, determining the reference coordinate as a deformation mapping coordinate;
determining a second deformation index of the high-precision spindle based on the number of deformation mapping coordinates in the unilateral coordinate set and the total distance of all preset reference points in the unilateral coordinate set;
the expression for calculating the second deformation index of the high-precision spindle is:
；
wherein,is a second deformation index of the high-precision spindle, < >>Adjusting the coefficients for the first index,/->Adjusting a constant for a first index, wherein x is the number of deformation mapping coordinates in a unilateral coordinate set, ++>Adjusting the coefficients for the second index,/->For the total distance of all preset reference points in the unilateral coordinate set, +.>The constant is adjusted for the second index.
In some embodiments of the present disclosure, a method for acquiring an infrared trigger feature of each infrared detection device in an infrared detection array in real time includes:
establishing an infrared detection point array aiming at the position of a relatively high-precision main shaft of each infrared detection device in the infrared detection array, wherein the infrared detection point array comprises a plurality of infrared detection points, and each infrared detection point is configured with detection point coordinates;
after the high-precision spindle is driven and load characteristics are applied for a preset time, determining an infrared detection point mapped by an infrared detection device which is just not shielded by the high-precision spindle and triggered, marking the infrared detection point as a boundary infrared detection point, recording the detection point coordinates of the boundary infrared detection point, and generating a boundary detection point coordinate set;
connecting infrared detection points in the coordinate set of the boundary detection points to generate an infrared boundary line;
and the infrared boundary lines mapped by the upper and lower boundaries of the high-precision spindle in the infrared detection array are regarded as infrared triggering characteristics.
In some embodiments of the present disclosure, a method for acquiring virtual image boundary features of a high-precision main shaft captured by a video capturing device in real time includes:
analyzing the video shot by the video shooting device frame by frame, and determining the virtual image part of each frame of image according to a preset virtual image judging rule;
scanning and analyzing the virtual image part of each frame of image, and sequencing the images according to the distance between the virtual image boundary and the axis of the high-precision main shaft to generate a virtual image representation image sequence;
analyzing a plurality of previous images in the virtual image expression image sequence, and respectively determining a first concerned image and a second concerned image with the largest distance between an upper virtual image boundary and a lower virtual boundary compared with the axis of a high-precision main shaft;
and regarding the virtual shadow boundaries in the first attention image and the second attention image as virtual shadow boundary characteristics of a high-precision main axis.
In some embodiments of the present disclosure, a method of constructing a first infrared trigger representation model and a first visual representation model includes:
constructing a first infrared trigger expression model:
establishing a reference coordinate system for the infrared detection point array, and configuring detection point coordinates for each infrared detection point according to the established reference coordinate system;
the characteristic of the infrared boundary line on the reference coordinate system is regarded as a first infrared triggering expression model;
constructing a first visual performance model:
intercepting a concerned block of the infrared lattice on the concerned image, and mapping a reference coordinate system into the concerned block;
mapping the virtual image boundary in the concerned block into a reference coordinate system to obtain a first visual representation model.
In some embodiments of the present disclosure, a method for comparing a first infrared trigger representation model and a first visual representation model under the same test standard includes:
fusing a reference coordinate system in the first visual expression model and the first infrared trigger expression model, selecting a plurality of first comparison points on an infrared boundary line according to a plurality of preset comparison abscissas, and selecting a plurality of second comparison points on a virtual shadow boundary line;
comparing the ordinate of the corresponding first comparison point with the ordinate of the corresponding second comparison point to obtain the difference of the ordinate, and if the difference of the ordinate is larger than a preset value, recording a first comparison abnormality;
determining the coincidence degree of the first infrared trigger expression model and the first visual expression model according to the occurrence times of the comparison abnormality and the difference of the vertical coordinates corresponding to each comparison abnormality, and determining to generate a first actual expression model if the coincidence degree is larger than a preset value;
the expression for determining the coincidence degree of the first infrared trigger expression model and the first visual expression model is as follows:
；
wherein w is the fitness of the first infrared trigger expression model and the first visual expression model,adjusting the coefficient for the number of anomalies, < > for>To compare the number of abnormal occurrences +.>Adjusting the coefficient for the difference, < > for>For the difference of the vertical coordinates corresponding to the ith comparison abnormality, < >>Adjusting constant for fitness->And adjusting the coefficient for the fitness.
In some embodiments of the present disclosure, a method of generating a first actual performance model includes:
fusing the reference coordinate systems of the first infrared trigger expression model and the first visual expression model, and aligning a virtual boundary line and an infrared boundary line;
for a plurality of groups of detection point groups with equal abscissa on the virtual boundary line and the infrared boundary line, the detection point groups comprise a first detection point arranged on the virtual boundary line and a second detection point arranged on the infrared boundary line;
calculating an average value of the ordinate between the first probe point and the second probe point of the same probe point group, and combining the abscissa of the first probe point or the second probe point to obtain the coordinate of a third probe point;
and sequentially connecting the third probe points in the reference coordinate system to obtain an actual boundary line.
In some embodiments of the present disclosure, a high-precision spindle performance test system is also disclosed, comprising:
the first module comprises a plurality of infrared detection devices arranged on two sides of the high-precision main shaft;
the second module comprises a video shooting device arranged on the side part of the high-precision main shaft;
the third module is used for driving the high-precision main shaft to rotate successively according to a preset test rotating speed sequence and applying load characteristics to the high-precision main shaft at different test rotating speeds according to a preset test load sequence;
the fourth module is used for collecting the infrared triggering characteristic of each infrared detection device in the infrared detection array in real time and collecting the virtual shadow boundary characteristic of the high-precision main shaft shot by the video shooting device in real time;
the fifth module is used for analyzing the triggering characteristics of the infrared detection device, constructing and generating a first infrared triggering performance model, analyzing the shot virtual image boundary characteristics, constructing and generating a first visual performance model, comparing the first infrared triggering performance model with the first visual performance model under the same test standard, determining a first difference characteristic, and determining whether to generate a first actual performance model based on the first difference characteristic;
and a sixth module, configured to determine a first deformation index of the high-precision spindle based on performance characteristics of the first actual performance model generated under different test standards, and determine reliability of the first deformation index of the high-precision spindle based on overall performance of the first difference characteristics of the continuous several rounds of testing.
The invention discloses a high-precision spindle performance test method and system, which relate to the technical field of high-precision spindle manufacturing, and particularly discloses a method for generating infrared trigger characteristics and virtual shadow boundary characteristics, constructing and generating a first infrared trigger expression model and a first visual expression model, comparing first difference characteristics of the two models, determining whether to generate a first actual expression model according to the first difference characteristics, determining a first deformation index of a high-precision spindle based on the expression characteristics of the first actual expression model, and determining the credibility of the first deformation index based on the integral expression of the first difference characteristics of multiple rounds of test.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
FIG. 1 is a method step diagram of a high-precision spindle performance testing method disclosed in some embodiments of the present disclosure;
fig. 2 is a schematic diagram showing the structural arrangement of a spindle to be tested and a detection device disclosed in some embodiments of the present invention.
Reference numerals
1. Testing a motor; 2. a main shaft; 3. an infrared emitter; 4. an infrared receiver; 5. a load applying device; 6. a butt joint end; 7. a video shooting device.
Detailed Description
The technical scheme of the invention is further described below through the attached drawings and the embodiments.
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments, it being understood that the preferred embodiments described herein are for illustrating and explaining the present invention only and are not to be construed as limiting the scope of the present invention, and that some insubstantial modifications and adaptations can be made by those skilled in the art in light of the following disclosure. In the present invention, unless explicitly specified and defined otherwise, technical terms used in the present application should be construed in a general sense as understood by those skilled in the art to which the present invention pertains.
Examples:
the invention discloses a high-precision spindle performance test method, referring to FIG. 1, comprising the following steps:
the infrared detection array comprises a plurality of infrared detection devices arranged on two sides of the high-precision spindle; the high-precision spindle is provided with a video shooting device, and the video shooting device is arranged on the side part of the high-precision spindle.
The infrared detection device is an infrared emitter and an infrared receiver, and is triggered if the main shaft is shielded between the infrared emitter and the infrared receiver.
Step S100, according to a preset test rotating speed sequence, the high-precision main shaft is driven to rotate successively.
In this step, dynamic driving of the high-precision spindle is achieved by successively varying a preset test rotational speed sequence. This reflects the different rotational speed conditions that the spindle may be subjected to during actual operation to more fully evaluate the deformability of the spindle.
Step S200, applying load characteristics to the high-precision main shaft at different test rotating speeds according to a preset test load sequence.
Referring to fig. 2, when testing the spindle 2, one end of the spindle 2 is abutted against the test motor 1, the test motor 1 tests according to a preset test rotation speed sequence, the other end of the spindle 2 is abutted against the load applying device 5, the load applying mechanism can achieve the functions of approaching the spindle 2 and keeping away from the spindle 2 through the sliding rail, and the abutting end 6 of the load applying mechanism, which is abutted against the spindle 2, can move on a vertical plane. The infrared detection device comprises an infrared emitter 3 and an infrared receiver 4 which are respectively arranged at two sides of the main shaft 2, and the video shooting device 7 is arranged at the side part of the main shaft 2.
In this step, the spindles at different speeds are loaded by applying a preset test load sequence. This simulates the load changes experienced by the spindle during actual machining, making the test closer to actual operating conditions.
Step S300, acquiring the infrared triggering characteristic of each infrared detection device in the infrared detection array in real time, and acquiring the virtual image boundary characteristic of the high-precision main shaft shot by the video shooting device in real time.
In this step, the infrared detection array acquires the triggering characteristics of each infrared detection device in real time, and the video shooting device acquires the virtual image boundary characteristics in real time. This provides real-time data support for subsequent deformation analysis.
Step S400, analyzing triggering characteristics of the infrared detection device, constructing and generating a first infrared triggering performance model, analyzing shot ghost boundary characteristics, and constructing and generating a first visual performance model.
In this step, a first infrared trigger appearance model and a first visual appearance model are constructed by analysis of the infrared trigger features and the ghost boundary features. These models can be used to quantify and intuitively represent the deformation characteristics of the principal axes.
And S500, comparing the first infrared trigger expression model and the first visual expression model under the same test standard, determining a first difference characteristic, and determining whether to generate a first actual expression model based on the first difference characteristic.
In this step, the difference features between the two models are determined by comparing them. Based on these difference features, the system decides whether to generate a first actual performance model. This step further improves the accuracy of the deformation analysis.
And S600, determining a first deformation index of the high-precision main shaft based on the performance characteristics of the first actual performance model generated under different testing standards, and determining the credibility of the first deformation index of the high-precision main shaft based on the overall performance of the first difference characteristics of a plurality of continuous tests.
In this step, the reliability of the deformation index is determined by determining a first deformation index of the high-precision spindle based on the performance characteristics of the first actual performance model and based on the overall performance of the difference characteristics of the multiple tests. This provides a quantitative confidence assessment for the deformation test results.
The overall performance of the difference features of the multiple tests can be understood as the fitness of the first infrared trigger performance model and the first visual performance model in each test under the condition of the multiple tests, if the fitness of the first infrared trigger performance model and the first visual performance model is greater than the preset condition, a certain degree of reliability is correspondingly increased, and the sum of the degrees of reliability of the multiple tests is regarded as the reliability of the deformation index.
According to the technical scheme, different working conditions of the high-precision main shaft under actual working conditions are fully considered, and more comprehensive and real evaluation is provided for the deformation performance of the main shaft through infrared monitoring and dynamic analysis of video data.
In some embodiments of the present disclosure, further comprising: and if the reliability of the first deformation index of the high-precision main shaft is smaller than a preset value, performing a second wheel deformation test on the high-precision main shaft.
The method for carrying out the second wheel deformation test on the high-precision main shaft comprises the following steps:
s700, setting a plurality of detection points for the side part of the high-precision main shaft, applying preset test force to different detection points of the high-precision main shaft, and collecting the static boundary characteristics of the high-precision main shaft shot by the video shooting device after the preset test force is applied each time for a preset time.
S800, analyzing the static boundary characteristics of different detection points to obtain a second deformation index.
In some embodiments of the present disclosure, a method of determining a static boundary feature of a high precision spindle includes:
and S701, performing visual analysis on the image shot by the visual shooting device to determine the entity boundary of the high-precision main shaft.
S702, analyzing the relative positions of a plurality of preset reference points of the entity boundary of the high-precision spindle, and obtaining a second deformation index based on the relative position characteristics of different preset reference points.
In some embodiments of the present disclosure, a method for analyzing the relative positions of a plurality of preset reference points of a physical boundary of a high-precision spindle includes:
s801, a first image coordinate system is established for an image shot by a visual shooting device, and reference coordinates of each preset reference point on the physical boundary of a high-precision main shaft are determined.
In this step, a first image coordinate system is established for the image captured by the visual capture device. Then, for each preset reference point on the physical boundary of the high precision spindle, its reference coordinates in the image are determined. This provides the basis for subsequent deformation analysis.
S802, continuously analyzing reference coordinates of all preset reference points one by one, associating a plurality of preset reference points which are adjacent and have a coordinate interval smaller than a preset coordinate comparison interval, recording the coordinates of the preset reference points, and constructing a unilateral coordinate set of the high-precision spindle.
In this step, all preset reference points are continuously analyzed one by one, a plurality of preset reference points which are adjacent and have a coordinate interval smaller than a preset coordinate comparison interval are associated, and the coordinates of the preset reference points are recorded. This forms a unilateral coordinate set of the high precision spindle for subsequent deformation analysis.
S803, analyzing all the reference coordinates in the unilateral coordinate set, determining the highest reference coordinate point and the lowest reference coordinate point, and establishing a first comparison reference line based on the highest reference coordinate point and the lowest reference coordinate point.
In this step, all reference coordinates in the unilateral coordinate set are analyzed, the highest reference coordinate point and the lowest reference coordinate point are determined, and a first comparison reference line is established based on the two points. This is used as a baseline in subsequent deformation analysis.
S804, dynamically adjusting the first comparison reference line for a plurality of times based on a preset slope adjustment stepping scale and an intercept adjustment stepping scale to generate a plurality of second comparison reference lines.
S805, calculating single-point distances of all preset reference points relative to a second comparison reference line, calculating an accumulated sum of the single-point distances corresponding to all preset reference points, recording the accumulated sum as a total distance, and selecting the second comparison reference line with the smallest total distance as an application comparison reference line.
In this step, the single point distances of all preset reference points relative to each second comparison reference line are calculated, and the second comparison reference line with the smallest total distance is selected as the application comparison reference line. This was used as a reference for comparison in subsequent deformation analysis.
S806, analyzing the single-point distance of each reference coordinate in the unilateral coordinate set relative application comparison reference line, and if the reference coordinate with the single-point distance being larger than the preset value exists, determining the reference coordinate as a deformation mapping coordinate.
In this step, the single point distance of each reference coordinate relative application alignment reference line in the unilateral coordinate set is analyzed. And if the reference coordinate with the single-point distance larger than the preset value exists, the single-point distance is regarded as deformation mapping coordinate. This helps to identify the deformation of the spindle.
S807, determining a second deformation index of the high-precision spindle based on the number of deformation mapping coordinates in the unilateral coordinate set and the total distance of all preset reference points in the unilateral coordinate set.
And determining a second deformation index of the high-precision spindle based on the number of deformation mapping coordinates and the total distance of all preset reference points. This provides a quantitative measure of deformation, helping to assess the extent of deformation of the spindle under test conditions.
The expression for calculating the second deformation index of the high-precision spindle is:
。
wherein,is a second deformation index of the high-precision spindle, < >>Adjusting the coefficients for the first index,/->Adjusting a constant for a first index, wherein x is the number of deformation mapping coordinates in a unilateral coordinate set, ++>Adjusting the coefficients for the second index,/->For the total distance of all preset reference points in the unilateral coordinate set, +.>The constant is adjusted for the second index.
In some embodiments of the present disclosure, a method for acquiring an infrared trigger feature of each infrared detection device in an infrared detection array in real time includes:
s601, establishing an infrared detection point array aiming at the position of a relatively high-precision main shaft of each infrared detection device in the infrared detection array, wherein the infrared detection point array comprises a plurality of infrared detection points, and each infrared detection point is configured with detection point coordinates.
S602, after the high-precision spindle is driven and load characteristics are applied for a preset time, determining an infrared detection point which is mapped by an infrared detection device and is just not blocked by the high-precision spindle and triggered, marking the infrared detection point as a boundary infrared detection point, recording the detection point coordinates of the boundary infrared detection point, and generating a boundary detection point coordinate set.
And S603, connecting infrared detection points in the coordinate set of the boundary detection points to generate an infrared boundary line.
And S604, identifying infrared boundary lines mapped by the upper and lower boundaries of the high-precision spindle in the infrared detection array as infrared triggering characteristics.
In some embodiments of the present disclosure, a method for acquiring virtual image boundary features of a high-precision main shaft captured by a video capturing device in real time includes:
s501, analyzing the video shot by the video shooting device frame by frame, and determining the virtual image part of each frame of image according to a preset virtual image judgment rule.
S502, scanning and analyzing the virtual image part of each frame of image, and sequencing the images according to the distance between the virtual image boundary and the axis of the high-precision main shaft to generate a virtual image representation image sequence.
S503, analyzing a plurality of images before in the virtual image expression image sequence, and respectively determining a first attention image and a second attention image with the largest distance between an upper virtual image boundary and a lower virtual boundary compared with the axis of a high-precision main shaft.
And S504, regarding the virtual image boundary in the first attention image and the second attention image as the virtual image boundary characteristic of the high-precision main axis.
In some embodiments of the present disclosure, a method of constructing a first infrared trigger representation model and a first visual representation model includes:
constructing a first infrared trigger expression model:
s6001, establishing a reference coordinate system for the infrared detection point array, and configuring detection point coordinates for each infrared detection point according to the established reference coordinate system.
And S6002, identifying the characteristic of the infrared boundary line on the reference coordinate system as a first infrared trigger expression model.
Constructing a first visual performance model:
s6003, a focus block of the infrared lattice on the focus image is intercepted, and a reference coordinate system is mapped into the focus block.
S6004, mapping the virtual image boundary in the concerned block into a reference coordinate system to obtain a first visual expression model.
In some embodiments of the present disclosure, a method for comparing a first infrared trigger representation model and a first visual representation model under the same test standard includes:
s703, fusing the reference coordinate systems in the first visual expression model and the first infrared trigger expression model, selecting a plurality of first comparison points on an infrared boundary line and a plurality of second comparison points on a virtual image boundary line according to a plurality of preset comparison abscissas.
S704, comparing the ordinate of the corresponding first comparison point with the ordinate of the corresponding second comparison point to obtain the difference of the ordinate, and recording a comparison abnormality if the difference of the ordinate is larger than a preset value.
And S705, determining the coincidence degree of the first infrared trigger expression model and the first visual expression model according to the occurrence times of the comparison abnormality and the difference of the vertical coordinates corresponding to each comparison abnormality, and determining to generate a first actual expression model if the coincidence degree is larger than a preset value.
The expression for determining the coincidence degree of the first infrared trigger expression model and the first visual expression model is as follows:
。
wherein w is the fitness of the first infrared trigger expression model and the first visual expression model,adjusting the coefficient for the number of anomalies, < > for>To compare the number of abnormal occurrences +.>Adjusting the coefficient for the difference, < > for>For the difference of the vertical coordinates corresponding to the ith comparison abnormality, < >>Adjusting constant for fitness->And adjusting the coefficient for the fitness.
In some embodiments of the present disclosure, a method of generating a first actual performance model includes:
s7001, fusing the reference coordinate systems of the first infrared trigger expression model and the first visual expression model, and aligning the virtual image boundary line and the infrared boundary line.
S7002, aiming at a plurality of groups of detection point groups with equal abscissa on the virtual shadow boundary line and the infrared boundary line, the detection point groups comprise a first detection point arranged on the virtual shadow boundary line and a second detection point arranged on the infrared boundary line.
S7003, calculating an average value of the ordinate between the first probe point and the second probe point of the same probe point group, and combining the abscissa of the first probe point or the second probe point to obtain the coordinate of the third probe point.
And S7004, sequentially connecting the third probe points in the reference coordinate system to obtain an actual boundary line.
In some embodiments of the present disclosure, a high-precision spindle performance test system is also disclosed, comprising:
the first module comprises a plurality of infrared detection devices which are arranged on two sides of the high-precision main shaft.
The second module comprises a video shooting device arranged on the side part of the high-precision main shaft.
And the third module is used for sequentially driving the high-precision main shaft to rotate according to a preset test rotating speed sequence and applying load characteristics to the high-precision main shaft at different test rotating speeds according to a preset test load sequence.
And the fourth module is used for collecting the infrared triggering characteristic of each infrared detection device in the infrared detection array in real time and collecting the virtual shadow boundary characteristic of the high-precision main shaft shot by the video shooting device in real time.
And the fifth module is used for analyzing the triggering characteristics of the infrared detection device, constructing and generating a first infrared triggering performance model, analyzing the shot virtual shadow boundary characteristics, constructing and generating a first visual performance model, comparing the first infrared triggering performance model with the first visual performance model under the same test standard, determining a first difference characteristic, and determining whether to generate a first actual performance model based on the first difference characteristic.
And a sixth module, configured to determine a first deformation index of the high-precision spindle based on performance characteristics of the first actual performance model generated under different test standards, and determine reliability of the first deformation index of the high-precision spindle based on overall performance of the first difference characteristics of the continuous several rounds of testing.
From the above description of the embodiments, it will be clear to those skilled in the art that the present invention may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective implementation scenario of the present invention.
The invention discloses a high-precision spindle performance test method and system, which relate to the technical field of high-precision spindle manufacturing, and particularly discloses a method for generating infrared trigger characteristics and virtual shadow boundary characteristics, constructing and generating a first infrared trigger expression model and a first visual expression model, comparing first difference characteristics of the two models, determining whether to generate a first actual expression model according to the first difference characteristics, determining a first deformation index of a high-precision spindle based on the expression characteristics of the first actual expression model, and determining the credibility of the first deformation index based on the integral expression of the first difference characteristics of multiple rounds of test.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting it, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that: the technical scheme of the invention can be modified or replaced by the same, and the modified technical scheme cannot deviate from the spirit and scope of the technical scheme of the invention.

Claims (10)

1. The high-precision spindle performance test method is characterized by comprising the following steps of:
the infrared detection array comprises a plurality of infrared detection devices arranged on two sides of the high-precision spindle;
the device is provided with a video shooting device which is arranged at the side part of the high-precision main shaft;
according to a preset test rotating speed sequence, the high-precision main shaft is driven to rotate successively;
according to a preset test load sequence, applying load characteristics to the high-precision main shaft at different test rotating speeds;
acquiring infrared triggering characteristics of each infrared detection device in the infrared detection array in real time, and acquiring virtual shadow boundary characteristics of a high-precision main shaft shot by a video shooting device in real time;
analyzing triggering characteristics of the infrared detection device, constructing and generating a first infrared triggering expression model, analyzing shot virtual shadow boundary characteristics, and constructing and generating a first visual expression model;
comparing the first infrared trigger expression model with the first visual expression model under the same test standard, determining a first difference characteristic, and determining whether to generate a first actual expression model based on the first difference characteristic;
and determining a first deformation index of the high-precision spindle based on the performance characteristics of the first actual performance model generated under different test standards, and determining the credibility of the first deformation index of the high-precision spindle based on the overall performance of the first difference characteristics of a plurality of continuous tests.
2. The high-precision spindle performance test method as set forth in claim 1, further comprising:
if the reliability of the first deformation index of the high-precision main shaft is smaller than a preset value, performing a second wheel deformation test on the high-precision main shaft;
the method for carrying out the second wheel deformation test on the high-precision main shaft comprises the following steps:
setting a plurality of detection points aiming at the side part of the high-precision main shaft, applying preset test force to different detection points of the high-precision main shaft, and collecting the static boundary characteristics of the high-precision main shaft shot by the video shooting device after the preset test force is applied each time for a preset time;
and analyzing the static boundary characteristics of different detection points to obtain a second deformation index.
3. The method for testing the performance of the high-precision spindle according to claim 2, wherein the method for determining the static boundary characteristics of the high-precision spindle comprises the following steps:
performing visual analysis on the image shot by the visual shooting device to determine the entity boundary of the high-precision main shaft;
analyzing the relative positions of a plurality of preset reference points of the entity boundary of the high-precision spindle, and obtaining a second deformation index based on the relative position characteristics of different preset reference points.
4. A method for testing the performance of a high-precision spindle according to claim 3, wherein the method for analyzing the relative positions of a plurality of preset reference points of the physical boundary of the high-precision spindle comprises:
establishing a first image coordinate system for an image shot by a visual shooting device, and determining a reference coordinate of each preset reference point on the physical boundary of a high-precision main shaft;
continuously analyzing the reference coordinates of all the preset reference points one by one, associating a plurality of preset reference points which are adjacent and have a coordinate interval smaller than a preset coordinate comparison interval, recording the coordinates of the preset reference points, and constructing a unilateral coordinate set of a high-precision spindle;
analyzing all reference coordinates in the unilateral coordinate set, determining a highest reference coordinate point and a lowest reference coordinate point, and establishing a first comparison reference line based on the highest reference coordinate point and the lowest reference coordinate point;
dynamically adjusting the first comparison reference line for a plurality of times based on a preset slope adjustment stepping scale and an intercept adjustment stepping scale to generate a plurality of second comparison reference lines;
calculating single-point distances of all preset reference points relative to a second comparison reference line, calculating an accumulated sum of the single-point distances corresponding to all the preset reference points, marking the accumulated sum as a total distance, and selecting the second comparison reference line with the smallest total distance as an application comparison reference line;
analyzing the single-point distance of each reference coordinate in the unilateral coordinate set by relatively applying comparison reference lines, and if the single-point distance is larger than the reference coordinate with a preset value, determining the reference coordinate as a deformation mapping coordinate;
determining a second deformation index of the high-precision spindle based on the number of deformation mapping coordinates in the unilateral coordinate set and the total distance of all preset reference points in the unilateral coordinate set;
the expression for calculating the second deformation index of the high-precision spindle is:
；
wherein,is a second deformation index of the high-precision spindle, < >>Adjusting the coefficients for the first index,/->Adjusting a constant for a first index, wherein x is the number of deformation mapping coordinates in a unilateral coordinate set, ++>Adjusting the coefficients for the second index,/->Is a single-side seatTotal distance of all preset reference points in the target, < >>The constant is adjusted for the second index.
5. The method for testing the performance of a high-precision spindle according to claim 1, wherein the method for acquiring the infrared triggering characteristics of each infrared detection device in the infrared detection array in real time comprises the following steps:
establishing an infrared detection point array aiming at the position of a relatively high-precision main shaft of each infrared detection device in the infrared detection array, wherein the infrared detection point array comprises a plurality of infrared detection points, and each infrared detection point is configured with detection point coordinates;
after the high-precision spindle is driven and load characteristics are applied for a preset time, determining an infrared detection point mapped by an infrared detection device which is just not shielded by the high-precision spindle and triggered, marking the infrared detection point as a boundary infrared detection point, recording the detection point coordinates of the boundary infrared detection point, and generating a boundary detection point coordinate set;
connecting infrared detection points in the coordinate set of the boundary detection points to generate an infrared boundary line;
and the infrared boundary lines mapped by the upper and lower boundaries of the high-precision spindle in the infrared detection array are regarded as infrared triggering characteristics.
6. The method for testing performance of a high-precision spindle according to claim 5, wherein the method for acquiring virtual image boundary features of the high-precision spindle captured by the video capturing device in real time comprises:
analyzing the video shot by the video shooting device frame by frame, and determining the virtual image part of each frame of image according to a preset virtual image judging rule;
scanning and analyzing the virtual image part of each frame of image, and sequencing the images according to the distance between the virtual image boundary and the axis of the high-precision main shaft to generate a virtual image representation image sequence;
analyzing a plurality of previous images in the virtual image expression image sequence, and respectively determining a first concerned image and a second concerned image with the largest distance between an upper virtual image boundary and a lower virtual boundary compared with the axis of a high-precision main shaft;
and regarding the virtual shadow boundaries in the first attention image and the second attention image as virtual shadow boundary characteristics of a high-precision main axis.
7. The method of claim 6, wherein the method of constructing the first infrared trigger representation model and the first visual representation model comprises:
constructing a first infrared trigger expression model:
establishing a reference coordinate system for the infrared detection point array, and configuring detection point coordinates for each infrared detection point according to the established reference coordinate system;
the characteristic of the infrared boundary line on the reference coordinate system is regarded as a first infrared triggering expression model;
constructing a first visual performance model:
intercepting a concerned block of the infrared lattice on the concerned image, and mapping a reference coordinate system into the concerned block;
mapping the virtual image boundary in the concerned block into a reference coordinate system to obtain a first visual representation model.
8. The method for testing the performance of a high-precision spindle according to claim 7, wherein the method for comparing the first infrared trigger representation model with the first visual representation model under the same test standard comprises the following steps:
fusing a reference coordinate system in the first visual expression model and the first infrared trigger expression model, selecting a plurality of first comparison points on an infrared boundary line according to a plurality of preset comparison abscissas, and selecting a plurality of second comparison points on a virtual shadow boundary line;
comparing the ordinate of the corresponding first comparison point with the ordinate of the corresponding second comparison point to obtain the difference of the ordinate, and if the difference of the ordinate is larger than a preset value, recording a first comparison abnormality;
determining the coincidence degree of the first infrared trigger expression model and the first visual expression model according to the occurrence times of the comparison abnormality and the difference of the vertical coordinates corresponding to each comparison abnormality, and determining to generate a first actual expression model if the coincidence degree is larger than a preset value;
the expression for determining the coincidence degree of the first infrared trigger expression model and the first visual expression model is as follows:
；
wherein w is the fitness of the first infrared trigger expression model and the first visual expression model,adjusting the coefficient for the number of anomalies, < > for>To compare the number of abnormal occurrences +.>Adjusting the coefficient for the difference, < > for>For the difference of the vertical coordinates corresponding to the ith comparison abnormality, < >>Adjusting constant for fitness->And adjusting the coefficient for the fitness.
9. The method of claim 7, wherein the generating the first actual performance model comprises:
fusing the reference coordinate systems of the first infrared trigger expression model and the first visual expression model, and aligning a virtual boundary line and an infrared boundary line;
for a plurality of groups of detection point groups with equal abscissa on the virtual boundary line and the infrared boundary line, the detection point groups comprise a first detection point arranged on the virtual boundary line and a second detection point arranged on the infrared boundary line;
calculating an average value of the ordinate between the first probe point and the second probe point of the same probe point group, and combining the abscissa of the first probe point or the second probe point to obtain the coordinate of a third probe point;
and sequentially connecting the third probe points in the reference coordinate system to obtain an actual boundary line.
10. A high-precision spindle performance test system, comprising:
the first module comprises a plurality of infrared detection devices arranged on two sides of the high-precision main shaft;
the second module comprises a video shooting device arranged on the side part of the high-precision main shaft;
the third module is used for driving the high-precision main shaft to rotate successively according to a preset test rotating speed sequence and applying load characteristics to the high-precision main shaft at different test rotating speeds according to a preset test load sequence;
the fourth module is used for collecting the infrared triggering characteristic of each infrared detection device in the infrared detection array in real time and collecting the virtual shadow boundary characteristic of the high-precision main shaft shot by the video shooting device in real time;
the fifth module is used for analyzing the triggering characteristics of the infrared detection device, constructing and generating a first infrared triggering performance model, analyzing the shot virtual image boundary characteristics, constructing and generating a first visual performance model, comparing the first infrared triggering performance model with the first visual performance model under the same test standard, determining a first difference characteristic, and determining whether to generate a first actual performance model based on the first difference characteristic;
and a sixth module, configured to determine a first deformation index of the high-precision spindle based on performance characteristics of the first actual performance model generated under different test standards, and determine reliability of the first deformation index of the high-precision spindle based on overall performance of the first difference characteristics of the continuous several rounds of testing.
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