CN114905333A - Machine tool operation online intelligent monitoring system based on multidimensional data analysis - Google Patents
Machine tool operation online intelligent monitoring system based on multidimensional data analysis Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000007405 data analysis Methods 0.000 title claims abstract description 17
- 238000012545 processing Methods 0.000 claims abstract description 231
- 238000007781 pre-processing Methods 0.000 claims abstract description 99
- 238000011156 evaluation Methods 0.000 claims abstract description 74
- 238000004458 analytical method Methods 0.000 claims abstract description 57
- 238000002360 preparation method Methods 0.000 claims abstract description 49
- 239000007921 spray Substances 0.000 claims description 66
- 239000000110 cooling liquid Substances 0.000 claims description 65
- 238000003754 machining Methods 0.000 claims description 32
- 239000000463 material Substances 0.000 claims description 31
- 230000001105 regulatory effect Effects 0.000 claims description 25
- 238000000034 method Methods 0.000 claims description 23
- 238000013500 data storage Methods 0.000 claims description 20
- 238000012216 screening Methods 0.000 claims description 16
- 238000005299 abrasion Methods 0.000 claims description 12
- 230000001276 controlling effect Effects 0.000 claims description 10
- 238000005507 spraying Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 238000011895 specific detection Methods 0.000 claims description 7
- 238000010835 comparative analysis Methods 0.000 claims description 5
- 239000002826 coolant Substances 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 3
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- 230000002159 abnormal effect Effects 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q15/00—Automatic control or regulation of feed movement, cutting velocity or position of tool or work
- B23Q15/007—Automatic control or regulation of feed movement, cutting velocity or position of tool or work while the tool acts upon the workpiece
- B23Q15/12—Adaptive control, i.e. adjusting itself to have a performance which is optimum according to a preassigned criterion
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- 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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The invention discloses an online intelligent monitoring system for machine tool operation based on multidimensional data analysis, which effectively reduces the processing error risk of a pre-processed workpiece, improves the processing quality and the yield of the processed workpiece of a later machine tool by acquiring the processing preparation information of a target machine tool in a pre-processing stage, analyzing the preparation evaluation coefficient of the target machine tool in the pre-processing stage and carrying out corresponding processing according to a comparison result, simultaneously detects the working parameters of the target machine tool in a processing operation stage, analyzes the operation evaluation coefficient of the target machine tool in the processing operation stage, further eliminates the potential safety hazard of machine tool processing operation, improves the operation safety of the machine tool, further enables industrial enterprises to develop towards the direction of machine tool operation control flexibility and real-time, analyzes the processing quality of the processed workpiece corresponding to the target machine tool, and reduces the processing quality analysis error of the processed workpiece, the analysis reliability and accuracy of the processing quality of the processed workpiece are improved.
Description
Technical Field
The invention relates to the field of machine tool operation monitoring, in particular to an online intelligent machine tool operation monitoring system based on multidimensional data analysis.
Background
With the acceleration of the social industrialization process, a large number of industrial enterprises emerge, and the machine tool is a main processing machine of industrial products to meet the social development requirements, so the importance of the machine tool can be seen, but the following defects still exist in the existing machine tool operation process:
in the existing machine tool operation process, a pre-processing workpiece is basically pressed and fixed by production personnel through years of working experience, the pre-processing workpiece cannot be safely pressed and fixed due to the difference of bearing pressures of processing workpieces made of different materials, so that the probability of deformation and damage of the pre-processing workpiece is increased, the loss rate of the processing workpiece is indirectly increased, and meanwhile, the production personnel cannot realize accurate position regulation and control on a corresponding regulating arm of the machine tool, so that the risk of processing errors of the pre-processing workpiece is increased, the difference of the processing requirements of the actually processed workpiece and the workpiece is caused, the integral scrapping of the pre-processing workpiece is further caused, the great waste of workpiece resources is caused, and the processing quality and the yield of the processing workpiece of the machine tool at the later stage are further influenced;
in the existing machine tool operation process, the machine tool operation parameters can not be monitored in real time, and only can be processed after early warning is sent out in the machine tool operation process, so that the function that abnormity can be controlled in time in the machine tool operation process can not be realized, the machine tool generates potential safety hazards in the machining operation process, the operation safety of the machine tool is further reduced, and the flexibility and the real-time performance of industrial enterprises on machine tool operation control are limited to a great extent.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an online intelligent monitoring system for machine tool operation based on multidimensional data analysis, which can effectively solve the problems related to the background art.
The purpose of the invention can be realized by the following technical scheme: an online intelligent monitoring system for machine tool operation based on multidimensional data analysis comprises;
the processing preparation information acquisition module is used for acquiring processing preparation information of the target machine tool in a preprocessing stage, wherein the processing preparation information comprises preprocessing workpiece information, clamp clamping information and adjusting arm regulation and control information;
the machine tool preparation evaluation coefficient analysis module is used for analyzing the preparation evaluation coefficient of the target machine tool in the preprocessing stage according to the processing preparation information of the target machine tool in the preprocessing stage;
the preprocessing stage processing module is used for comparing a preparation evaluation coefficient of the target machine tool in the preprocessing stage with a preset preparation evaluation coefficient threshold corresponding to the machine tool in the preprocessing stage and carrying out corresponding processing according to a comparison result;
the machine tool working parameter detection module is used for detecting working parameters of a target machine tool in a processing operation stage in real time, wherein the working parameters comprise tool working parameters, tool working sound parameters and cooling liquid spray head working parameters;
the machine tool operation evaluation coefficient analysis module is used for analyzing the operation evaluation coefficient of the target machine tool in the processing operation stage according to the working parameters of the target machine tool in the processing operation stage;
the processing module of the processing operation stage is used for comparing the operation evaluation coefficient of the target machine tool in the processing operation stage with a preset operation evaluation coefficient threshold corresponding to the machine tool in the processing operation stage, if the operation evaluation coefficient of the target machine tool in the processing operation stage is larger than the corresponding operation evaluation coefficient threshold, the processing operation of the target machine tool is stopped, and an early warning prompt is sent out, otherwise, the processing operation of the target machine tool is continuously executed;
the processed workpiece quality analysis module is used for marking the processed workpiece of the target machine tool after the processing operation stage is finished as the processed workpiece, scanning the processed workpiece corresponding to the target machine tool, analyzing the processing quality of the processed workpiece corresponding to the target machine tool, and performing corresponding processing after comparative analysis;
and the machine tool processing data storage library is used for storing the safe bearing pressure of each material processing workpiece corresponding to each shape and a standard three-dimensional model of each processing workpiece in the processing process, storing the position coordinates of the central point of the standard adjusting arm and the relative angle of the standard adjusting arm corresponding to the target machine tool when processing each shape processing workpiece, and storing the working sound parameters of the standard cutter, the working rotating speed of the standard cutter, the working flow rate of the standard cooling liquid spray head and the working flow rate of the standard cooling liquid spray head corresponding to the target machine tool when processing each material processing workpiece.
In a preferred technical solution of the present application, the specific implementation manner of the processing preparation information obtaining module is as follows:
acquiring a preprocessed workpiece image of a target machine tool in a preprocessing stage through a high-definition camera, comparing the preprocessed workpiece image of the target machine tool in the preprocessing stage to obtain the preprocessed workpiece shape and the preprocessed workpiece material of the target machine tool in the preprocessing stage, and taking the preprocessed workpiece shape and the preprocessed workpiece material as preprocessed workpiece information;
dividing a contact area of a clamp corresponding to a target machine tool and a preprocessed workpiece into clamp subareas according to an equal-area dividing mode, sequentially numbering the clamp subareas as 1,2, 1, i, k according to a preset sequence, and acquiring clamp clamping information of the clamp corresponding to the target machine tool in a preprocessing stage, wherein the clamp clamping information is bearing pressure of each clamp subarea, and marking the bearing pressure of each clamp subarea of the target machine tool in the preprocessing stage as F i I denotes the number of each clamp subregion, i 1,2.
Acquiring regulating and controlling information of a regulating arm corresponding to a target machine tool in a preprocessing stage, wherein the regulating and controlling information of the regulating arm comprises a central point position coordinate of the regulating arm and a relative angle of the regulating arm, and the regulating and controlling information is marked as G (x, y, z) and theta (theta) 0 。
In a preferred technical solution of the present application, the machine tool preparation evaluation coefficient analysis module corresponds to a specific implementation manner of the present invention;
extracting the safe bearing pressure of each material processing workpiece corresponding to each shape stored in a machine tool processing data storage library in the processing process, screening the safe bearing pressure of the pre-processing workpiece corresponding to the target machine tool according to the shape and the material of the pre-processing workpiece of the target machine tool in the pre-processing stage, and marking the safe bearing pressure as F An Analyzing to obtain the corresponding fixture working influence coefficient of the target machine tool in the preprocessing stage
Wherein beta is expressed as a preset stress influence factor corresponding to the preprocessed workpiece;
extracting the position coordinates and the relative angles of the standard adjusting arms of the target machine tool corresponding to the machining of the workpiece with each shape stored in the machine tool machining data storage library, screening the position coordinates and the relative angles of the standard adjusting arms of the target machine tool corresponding to the machining of the workpiece to be preprocessed, and sequentially marking the position coordinates and the relative angles as G ' (x ', y ', z ') and theta ' 0 Analyzing to obtain the target machine toolAdjusting arm working influence coefficient corresponding to preprocessing stage
Wherein D is expressed as a preset allowable error distance of the position of the central point of the adjusting arm,
expressing the adjustment influence factor corresponding to the preset central point position of the adjusting arm, and expressing sigma the adjustment influence factor corresponding to the preset relative angle of the adjusting arm;
substituting the corresponding fixture work influence coefficient R and the corresponding regulating arm work influence coefficient T of the target machine tool in the preprocessing stage into a formula A ═ e-1) ζ*(R+T) And obtaining a preparation evaluation coefficient A of the target machine tool in the preprocessing stage, wherein zeta represents a preset evaluation compensation index of the machine tool in the preprocessing stage, and e represents a natural constant.
In a preferred technical solution of the present application, the preprocessing stage processing module is implemented as follows:
and comparing the preparation evaluation coefficient of the target machine tool in the preprocessing stage with a preset preparation evaluation coefficient threshold value corresponding to the machine tool in the preprocessing stage, if the preparation evaluation coefficient of the target machine tool in the preprocessing stage is less than or equal to the preset preparation evaluation coefficient threshold value corresponding to the machine tool in the preprocessing stage, executing a machine tool working parameter detection module, and if the preparation evaluation coefficient of the target machine tool in the preprocessing stage is greater than the preset preparation evaluation coefficient threshold value corresponding to the machine tool in the preprocessing stage, sending a manual adjustment early warning prompt.
In the preferred technical scheme of the application, the specific detection mode corresponding to the machine tool working parameter detection module is as follows:
detecting the working parameters of the cutter of the target machine tool in the processing and running stage in real time, wherein the working parameters of the cutter comprise the working rotating speed of the cutter, the curvature of the cutter and the abrasion degree of the cutter, and respectively marking the working rotating speed of the cutter, the curvature of the cutter and the abrasion degree of the cutter of the target machine tool in the processing and running stage as V, Q, C;
measuring cutter working sound parameters of the target machine tool in a processing operation stage in real time, wherein the cutter working sound parameters comprise cutter working generation volume and cutter working generation tone, and respectively marking the cutter working generation volume and the cutter working generation tone of the target machine tool in the processing operation stage as L and P;
and detecting working parameters of a cooling liquid spray head of the target machine tool in a machining operation stage in real time, wherein the working parameters of the cooling liquid spray head comprise the flow speed of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid, and the flow speed of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid of the target machine tool in the machining operation stage are respectively marked as M, N, S.
In a preferred technical solution of the present application, a specific analysis manner corresponding to the machine tool operation evaluation coefficient analysis module includes:
extracting the tool curvature and tool abrasion degree of the target machine tool in the processing operation stage, and analyzing to obtain the tool contour model conformity B of the target machine tool in the processing operation stage;
extracting standard cutter working sound parameters and standard cutter working rotating speeds which are stored in a machine tool processing data storage bank and correspond to a target machine tool when processing workpieces made of various materials, and screening the standard cutter working sound parameters and the standard cutter working rotating speeds which correspond to the target machine tool in a processing operation stage according to the material of a preprocessed workpiece corresponding to the target machine tool;
analyzing the tool working influence coefficient of a target machine tool in a machining operation stage
Wherein alpha is a preset tool work influence factor, V Sign board Expressed as the corresponding standard tool operating speed, mu, of the target machine tool in the machining operation stage 1 And mu 2 Respectively expressed as preset tool working rotating speed influence factors and tool working sound influence factors, and respectively expressed as standard tool working generation volume and standard tool working generation tone of the target machine tool in a machining operation stage.
In a preferred embodiment of the present application, the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module further includes:
extracting the working flow speed and the working flow of a standard cooling liquid spray head corresponding to a target machine tool when processing workpieces made of various materials, which are stored in a machine tool processing data storage library, and screening the standard working flow speed and the standard working flow of the cooling liquid spray head of the target machine tool in a processing operation stage according to the material of a preprocessed workpiece corresponding to the target machine tool;
analyzing the working influence coefficient of a cooling liquid spray head of a target machine tool in a machining operation stage
In which ξ 1 And xi 2 Respectively expressed as the influence factors, M, corresponding to the preset flow velocity and flow of the cooling liquid spray head Sign board 、N Sign board Respectively expressed as the standard working flow velocity and the standard working flow of the cooling liquid spray head in the processing operation stage of the target machine tool, psi is expressed as a preset spraying area influence factor of the cooling liquid spray head, S Sign board Indicated as a preset coolant spray header calibration spray area.
In a preferred embodiment of the present application, the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module further includes:
substituting the tool working influence coefficient J and the cooling liquid spray head working influence coefficient H of the target machine tool in the machining operation stage into a machine tool operation evaluation coefficient analysis formula
Obtaining the operation evaluation coefficient U of the target machine tool in the processing operation stage, wherein tau 1 And τ 2 And respectively expressing the machine tool operation correction coefficients corresponding to the preset working state of the cutter and the working state of the cooling liquid spray head.
In a preferred technical solution of the present application, a specific manner of scanning a processed workpiece corresponding to a target machine tool in the processed workpiece quality analysis module is as follows:
omnibearing processing of a machined workpiece corresponding to a target machine tool through a three-dimensional laser scannerScanning to obtain an omnidirectional image of the target machine tool corresponding to the processed workpiece, constructing a three-dimensional model of the target machine tool corresponding to the processed workpiece according to the omnidirectional image of the target machine tool corresponding to the processed workpiece, acquiring the spatial coordinates of each preset acquisition point in the three-dimensional model of the target machine tool corresponding to the processed workpiece according to the three-dimensional model of the target machine tool corresponding to the processed workpiece, and marking the spatial coordinates of each preset acquisition point in the three-dimensional model of the target machine tool corresponding to the processed workpiece as W ″ o (x″ o ,y″ o ,z″ o ) Wherein o is the number of each preset acquisition point, and o is 1,2.
In a preferred embodiment of the present invention, the method for analyzing the processing quality of the processed workpiece corresponding to the target machine tool in the processed workpiece quality analysis module includes:
extracting standard three-dimensional models of all processing workpieces stored in a machine tool processing data storage library, screening the standard three-dimensional models of the processing workpieces corresponding to the target machine tool, extracting standard space coordinates of all preset acquisition points in the standard three-dimensional models of the processing workpieces corresponding to the target machine tool, and marking the standard space coordinates as W ″ Mark o (x″ Mark o ,y″ Mark o ,z″ Mark o )；
Analyzing spatial position deviation coefficients of target machine tool corresponding to preset acquisition points in processed workpiece
Wherein D' Allow for The pick point position of the processed workpiece as indicated as preset allows for an offset distance,
and expressing the influence factors corresponding to the position deviation of the preset acquisition point of the processed workpiece.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the invention, the pre-processing workpiece information, the clamp clamping information and the adjusting arm regulation and control information of the target machine tool in the pre-processing stage are obtained, the preparation evaluation coefficient of the target machine tool in the pre-processing stage is analyzed, and corresponding processing is carried out according to the comparison result, so that the processing error risk of the pre-processing workpiece is effectively reduced, the problem that the actual processing workpiece is different from the processing requirement of the workpiece is avoided, the possibility of the whole scrapping of the pre-processing workpiece in the later stage is further reduced, a large amount of workpiece resource cost is saved, and the processing quality and the yield of the processed workpiece of the machine tool in the later stage are further improved.
According to the invention, the operation evaluation coefficient of the target machine tool in the processing operation stage is analyzed by detecting the tool working parameter, the tool working sound parameter and the cooling liquid spray head working parameter of the target machine tool in the processing operation stage, and corresponding operation processing is carried out, so that the machine tool operation parameter can be monitored in real time, the function of timely controlling the abnormality in the machine tool operation process is further realized, the potential safety hazard of machine tool processing operation is eliminated, the operation safety of the machine tool is improved, and further industrial enterprises develop towards the machine tool operation control flexibility and real-time property.
The invention analyzes the processing quality of the processed workpiece corresponding to the target machine tool by scanning the processed workpiece corresponding to the target machine tool, and performs corresponding processing after comparative analysis, thereby intuitively embodying the processing quality of the processed workpiece, effectively avoiding the problems of over subjectivity and limitation of the existing method, further effectively reducing the processing quality analysis error of the processed workpiece, and improving the analysis reliability and the analysis accuracy of the processing quality of the processed workpiece.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram of the module connection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention provides an online intelligent monitoring system for machine tool operation based on multidimensional data analysis, which comprises a processing preparation information acquisition module, a machine tool preparation evaluation coefficient analysis module, a preprocessing stage processing module, a machine tool working parameter detection module, a machine tool operation evaluation coefficient analysis module, a processing operation stage processing module, a processed workpiece quality analysis module and a machine tool processing data repository.
The machine tool working parameter detection module is respectively connected with the preprocessing stage processing module and the machine tool operation evaluation coefficient analysis module, the machine tool operation evaluation coefficient analysis module is respectively connected with the machine tool processing data storage library and the processing operation stage processing module, and the processed workpiece quality analysis module is respectively connected with the processing operation stage processing module and the machine tool processing data storage library.
The processing preparation information acquisition module is used for acquiring processing preparation information of the target machine tool in a preprocessing stage, wherein the processing preparation information comprises preprocessing workpiece information, clamp clamping information and adjusting arm regulation and control information.
Further, the specific implementation manner of the processing preparation information acquisition module is as follows:
acquiring a preprocessed workpiece image of a target machine tool in a preprocessing stage through a high-definition camera, comparing the preprocessed workpiece image of the target machine tool in the preprocessing stage to obtain the shape and the material of the preprocessed workpiece of the target machine tool in the preprocessing stage, and taking the shape and the material of the preprocessed workpiece as preprocessed workpiece information;
dividing the contact area of the corresponding clamp of the target machine tool and the preprocessed workpiece into clamp subareas according to an equal-area division modeThe preset sequence is numbered as 1,2, 1, i, k in sequence, and clamp clamping information corresponding to the target machine tool in the preprocessing stage is obtained, wherein the clamp clamping information is the bearing pressure of each clamp subregion, and the bearing pressure of each clamp subregion in the preprocessing stage of the target machine tool is marked as F i I denotes the number of each clamp subregion, i 1,2.
Acquiring regulating and controlling information of a regulating arm corresponding to a target machine tool in a preprocessing stage, wherein the regulating and controlling information of the regulating arm comprises a central point position coordinate of the regulating arm and a relative angle of the regulating arm, and the regulating and controlling information is marked as G (x, y, z) and theta (theta) 0 。
It should be noted that, in the preprocessing stage, the specific detection modes of the bearing pressure of each clamp sub-region, the position coordinate of the central point of the adjusting arm, and the relative angle of the adjusting arm of the target machine tool are as follows:
measuring the bearing pressure of each clamp subregion in the preprocessing stage of the target machine tool through a pressure sensor distributed in each clamp subregion in the target machine tool clamp;
positioning the central point position of the adjusting arm corresponding to the target machine tool in the preprocessing stage through a GPS positioning instrument, and establishing a three-dimensional model of the target machine tool by taking a set end point on the target machine tool as an original point to obtain the central point position coordinate of the adjusting arm corresponding to the target machine tool in the preprocessing stage;
and measuring the relative angle of the adjusting arm corresponding to the target machine tool in the preprocessing stage through the total station, wherein the relative angle of the adjusting arm is the included angle between the adjusting arm and the horizontal plane of the target machine tool.
The machine tool preparation evaluation coefficient analysis module is used for analyzing the preparation evaluation coefficient of the target machine tool in the preprocessing stage according to the processing preparation information of the target machine tool in the preprocessing stage.
Further, the machine tool preparation evaluation coefficient analysis module corresponds to a specific implementation mode as follows;
extracting the safe bearing pressure of the processed workpiece with each shape corresponding to each material stored in the machine tool processing data storage library in the processing process, and screening the target machine tool according to the shape of the preprocessed workpiece and the material of the preprocessed workpiece of the target machine tool in the preprocessing stageCorresponding to the safe bearing pressure of the pre-processed workpiece, it is marked as F An Analyzing to obtain the corresponding fixture working influence coefficient of the target machine tool in the preprocessing stage
Wherein beta is expressed as a preset stress influence factor corresponding to the preprocessed workpiece;
extracting the position coordinates and the relative angles of the standard adjusting arms of the target machine tool corresponding to the processing of the workpiece with each shape stored in the machine tool processing data storage library, screening the position coordinates and the relative angles of the standard adjusting arms of the target machine tool corresponding to the processing of the workpiece to be preprocessed, and sequentially marking the position coordinates and the relative angles as G '(x', y ', z') and theta 0 ' analyzing to obtain the working influence coefficient of the corresponding adjusting arm of the target machine tool in the preprocessing stage
Wherein D is expressed as a preset allowable error distance of the position of the central point of the adjusting arm,
expressing the adjustment influence factor corresponding to the preset central point position of the adjusting arm, and expressing sigma the adjustment influence factor corresponding to the preset relative angle of the adjusting arm;
substituting the corresponding fixture work influence coefficient R and the corresponding regulating arm work influence coefficient T of the target machine tool in the preprocessing stage into a formula A ═ e-1) ζ*(R+T) And obtaining a preparation evaluation coefficient A of the target machine tool in the preprocessing stage, wherein zeta represents a preset evaluation compensation index of the machine tool in the preprocessing stage, and e represents a natural constant.
The preprocessing stage processing module is used for comparing a preparation evaluation coefficient of the target machine tool in the preprocessing stage with a preset preparation evaluation coefficient threshold corresponding to the machine tool in the preprocessing stage, and performing corresponding processing according to a comparison result.
Further, the specific implementation manner of the preprocessing stage processing module is as follows:
and if the preparation evaluation coefficient of the target machine tool in the preprocessing stage is greater than the preset preparation evaluation coefficient threshold corresponding to the machine tool in the preprocessing stage, sending a manual adjustment early warning prompt.
In the embodiment, the pre-processing workpiece information, the clamp clamping information and the adjusting arm regulation and control information of the target machine tool in the pre-processing stage are obtained, the preparation evaluation coefficient of the target machine tool in the pre-processing stage is analyzed, and corresponding processing is performed according to the comparison result, so that the processing error risk of the pre-processing workpiece is effectively reduced, the problem that the processing requirements of the actually processed workpiece and the workpiece are different is solved, the possibility of integrally scrapping the pre-processing workpiece in the later stage is further reduced, a large amount of workpiece resource cost is saved, and the processing quality and the yield of the processed workpiece of the machine tool in the later stage are improved.
The machine tool working parameter detection module is used for detecting working parameters of a target machine tool in a machining operation stage in real time, wherein the working parameters comprise tool working parameters, tool working sound parameters and cooling liquid spray head working parameters.
Further, the specific detection mode corresponding to the machine tool working parameter detection module is as follows:
detecting the working parameters of a cutter of the target machine tool in a processing operation stage in real time, wherein the working parameters of the cutter comprise the working rotating speed of the cutter, the curvature of the cutter and the abrasion degree of the cutter, and respectively marking the working rotating speed of the cutter, the curvature of the cutter and the abrasion degree of the cutter of the target machine tool in the processing operation stage as V, Q, C;
measuring cutter working sound parameters of the target machine tool in a processing operation stage in real time, wherein the cutter working sound parameters comprise cutter working generation volume and cutter working generation tone, and respectively marking the cutter working generation volume and the cutter working generation tone of the target machine tool in the processing operation stage as L and P;
and detecting working parameters of a cooling liquid spray head of the target machine tool in a machining operation stage in real time, wherein the working parameters of the cooling liquid spray head comprise the flow speed of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid, and the flow speed of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid of the target machine tool in the machining operation stage are respectively marked as M, N, S.
It should be noted that, the specific detection modes of the tool operating speed, the tool curvature and the tool wear of the target machine tool in the machining operation stage are as follows:
detecting the working rotating speed of the cutter of the target machine tool in the processing and running stage in real time through an infrared digital tachometer to obtain the working rotating speed of the cutter of the target machine tool in the processing and running stage;
measuring the tool curvature of the target machine tool in the processing operation stage in real time through a curvature measuring instrument to obtain the tool curvature of the target machine tool in the processing operation stage;
and measuring the thermal voltage of the target machine tool during the working of the cutter in the processing and running stage in real time through a thermal voltage measuring instrument, comparing the thermal voltage of the target machine tool during the working of the cutter in the processing and running stage with the cutter abrasion degrees corresponding to the preset thermal voltage ranges, and screening to obtain the cutter abrasion degree of the target machine tool in the processing and running stage.
It should be noted that, in the above-mentioned target machine tool, the specific detection method of the tool operation generated volume and the tool operation generated tone in the machining operation stage is as follows:
the method comprises the steps of acquiring a cutter working sound waveform of a target machine tool in a processing operation stage in real time through a sound sensor, filtering the cutter working sound waveform of the target machine tool in the processing operation stage to obtain an amplitude value and a frequency in the cutter working sound waveform of the target machine tool in the processing operation stage, recording the amplitude value in the cutter working sound waveform of the target machine tool in the processing operation stage as cutter working volume, and recording the frequency in the cutter working sound waveform of the target machine tool in the processing operation stage as cutter working tone.
It should be noted that, the specific detection modes of the flow velocity of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid in the machining operation stage of the target machine tool are as follows:
measuring the flow velocity of a cooling liquid spray head and the flow of the cooling liquid spray head of the target machine tool in a machining operation stage in real time through a flow velocity flowmeter;
the cooling liquid spray head of the target machine tool in the processing operation stage is monitored in real time through the high-definition camera, and the cooling liquid spray area of the target machine tool in the processing operation stage is obtained.
The machine tool operation evaluation coefficient analysis module is used for analyzing the operation evaluation coefficient of the target machine tool in the processing operation stage according to the working parameters of the target machine tool in the processing operation stage.
Further, the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module includes:
extracting the tool curvature and tool abrasion degree of the target machine tool in the processing operation stage, and analyzing to obtain the tool contour model conformity B of the target machine tool in the processing operation stage;
extracting standard cutter working sound parameters and standard cutter working rotating speeds which are stored in a machine tool processing data storage bank and correspond to a target machine tool when processing workpieces made of various materials, and screening the standard cutter working sound parameters and the standard cutter working rotating speeds which correspond to the target machine tool in a processing operation stage according to the material of a preprocessed workpiece corresponding to the target machine tool;
analyzing the tool working influence coefficient of a target machine tool in a machining operation stage
Wherein alpha is a preset tool work influence factor, V Sign board Expressed as the corresponding standard tool operating speed, mu, of the target machine tool in the machining operation stage 1 And mu 2 Respectively representing preset tool working rotating speed influence factors and tool working sound influence factors, and respectively representing the standard tool working generation volume and the standard tool working generation tone of the target machine tool in the processing operation stage.
It should be noted that, the tool profile model conformity analysis formula of the target machine tool in the machining operation stage is
Wherein B is expressed as the tool contour model conformity of the target machine tool in the machining operation stage, chi is expressed as a preset tool curvature influence factor, phi is expressed as a preset tool abrasion degree influence factor, Q 'is expressed as a preset tool allowable curvature, and C' is expressed as a preset tool allowable breakage degree.
Further, the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module further includes:
extracting the working flow speed and the working flow of a standard cooling liquid spray head corresponding to a target machine tool when processing workpieces made of various materials, which are stored in a machine tool processing data storage library, and screening the standard working flow speed and the standard working flow of the cooling liquid spray head of the target machine tool in a processing operation stage according to the material of a preprocessed workpiece corresponding to the target machine tool;
analyzing the working influence coefficient of a cooling liquid spray head of a target machine tool in a processing operation stage
In which ξ 1 And xi 2 Respectively expressed as the influence factors, M, corresponding to the preset flow velocity and flow of the cooling liquid spray head Sign board 、N Sign board Respectively expressed as the standard working flow velocity and the standard working flow of the cooling liquid spray head in the processing operation stage of the target machine tool, psi is expressed as a preset spraying area influence factor of the cooling liquid spray head, S Sign board Indicated as a preset coolant spray header calibration spray area.
Further, the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module further includes:
substituting the tool working influence coefficient J and the cooling liquid spray head working influence coefficient H of the target machine tool in the machining operation stage into a machine tool operation evaluation coefficient analysis formula
Obtaining the operation evaluation coefficient U of the target machine tool in the processing operation stage, wherein tau 1 And τ 2 And respectively expressing the machine tool operation correction coefficients corresponding to the preset working state of the cutter and the working state of the cooling liquid spray head.
And the processing module in the processing operation stage is used for comparing the operation evaluation coefficient of the target machine tool in the processing operation stage with a preset operation evaluation coefficient threshold corresponding to the machine tool in the processing operation stage, stopping the processing operation of the target machine tool and sending out an early warning prompt if the operation evaluation coefficient of the target machine tool in the processing operation stage is greater than the corresponding operation evaluation coefficient threshold, otherwise, continuously executing the processing operation of the target machine tool.
In the embodiment, the operation evaluation coefficient of the target machine tool in the processing operation stage is analyzed by detecting the tool working parameter, the tool working sound parameter and the cooling liquid spray head working parameter of the target machine tool in the processing operation stage, and corresponding operation processing is performed, so that the operation parameters of the machine tool can be monitored in real time, the function that the machine tool is abnormal in the operation process can be controlled in time is further realized, the potential safety hazard of the machine tool in the processing operation is eliminated, the operation safety of the machine tool is improved, and further, industrial enterprises can develop towards the flexibility and the real-time property of the machine tool operation control.
And the processed workpiece quality analysis module is used for marking the processed workpiece of the target machine tool after the processing operation stage is finished as the processed workpiece, scanning the processed workpiece corresponding to the target machine tool, analyzing the processing quality of the processed workpiece corresponding to the target machine tool, and performing corresponding processing after comparative analysis.
Further, the specific way of scanning the processed workpiece corresponding to the target machine tool in the processed workpiece quality analysis module is as follows:
the method comprises the steps of carrying out all-dimensional scanning on a machined workpiece corresponding to a target machine tool through a three-dimensional laser scanner to obtain an all-dimensional image of the machined workpiece corresponding to the target machine tool, and constructing an added workpiece corresponding to the target machine tool according to the all-dimensional image of the machined workpiece corresponding to the target machine toolAcquiring the space coordinates of each preset acquisition point in the three-dimensional model of the processed workpiece corresponding to the target machine tool according to the three-dimensional model of the processed workpiece corresponding to the target machine tool, and recording the space coordinates of each preset acquisition point in the three-dimensional model of the processed workpiece corresponding to the target machine tool as W ″ o (x″ o ,y″ o ,z″ o ) Wherein o is the number of each preset acquisition point, and o is 1,2.
Further, the processing quality analysis mode of the processed workpiece corresponding to the target machine tool in the processed workpiece quality analysis module includes:
extracting standard three-dimensional models of all processing workpieces stored in a machine tool processing data storage library, screening the standard three-dimensional models of the processing workpieces corresponding to the target machine tool, extracting standard space coordinates of all preset acquisition points in the standard three-dimensional models of the processing workpieces corresponding to the target machine tool, and marking the standard space coordinates as W ″ Mark o (x″ Mark o ,y″ Mark o ,z″ Mark o )；
Analyzing spatial position deviation coefficients of target machine tool corresponding to preset acquisition points in processed workpiece
Wherein D' Allow for The pick point position of the processed workpiece as indicated as preset allows for an offset distance,
and expressing the influence factors corresponding to the position deviation of the preset acquisition point of the processed workpiece.
In addition, the above-mentioned processed workpiece processing quality analysis method is as follows:
comparing the spatial position offset coefficient of each preset acquisition point in the processed workpiece corresponding to the target machine tool with a preset acquisition point spatial position offset coefficient threshold, if the spatial position offset coefficient of each preset acquisition point in the processed workpiece corresponding to the target machine tool is smaller than or equal to the preset acquisition point spatial position offset coefficient threshold, indicating that the processing quality of the processed workpiece corresponding to the target machine tool is qualified, if the spatial position offset coefficient of a certain preset acquisition point in the processed workpiece corresponding to the target machine tool is larger than the preset acquisition point spatial position offset coefficient threshold, indicating that the processing quality of the processed workpiece corresponding to the target machine tool is unqualified, and placing the processed workpiece with unqualified processing quality to a workpiece unqualified area.
In the embodiment, the processed workpiece corresponding to the target machine tool is scanned, the processing quality of the processed workpiece corresponding to the target machine tool is analyzed, and corresponding processing is performed after comparative analysis, so that the processing quality of the processed workpiece can be visually embodied, the problems of over subjectivity and limitation of the existing method are effectively avoided, the processing quality analysis error of the processed workpiece is further effectively reduced, and the analysis reliability and the analysis accuracy of the processing quality of the processed workpiece are improved.
The machine tool processing data storage library is used for storing safe bearing pressure of each material processing workpiece corresponding to each shape and a standard three-dimensional model of each processing workpiece in the processing process, storing position coordinates of a central point of a standard adjusting arm and a relative angle of the standard adjusting arm corresponding to the target machine tool when processing each shape processing workpiece, and storing working sound parameters of a standard tool, working rotating speed of the standard tool, working flow rate of a standard cooling liquid spray head and working flow of the standard cooling liquid spray head corresponding to the target machine tool when processing each material processing workpiece.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (10)
1. The utility model provides an online intelligent monitoring system of lathe operation based on multidimensional data analysis which characterized in that includes:
the processing preparation information acquisition module is used for acquiring processing preparation information of the target machine tool in a preprocessing stage, wherein the processing preparation information comprises preprocessing workpiece information, clamp clamping information and adjusting arm regulation and control information;
the machine tool preparation evaluation coefficient analysis module is used for analyzing the preparation evaluation coefficient of the target machine tool in the preprocessing stage according to the processing preparation information of the target machine tool in the preprocessing stage;
the preprocessing stage processing module is used for comparing a preparation evaluation coefficient of the target machine tool in the preprocessing stage with a preset preparation evaluation coefficient threshold corresponding to the machine tool in the preprocessing stage and carrying out corresponding processing according to a comparison result;
the machine tool working parameter detection module is used for detecting working parameters of a target machine tool in a processing operation stage in real time, wherein the working parameters comprise tool working parameters, tool working sound parameters and cooling liquid spray head working parameters;
the machine tool operation evaluation coefficient analysis module is used for analyzing the operation evaluation coefficient of the target machine tool in the processing operation stage according to the working parameters of the target machine tool in the processing operation stage;
the processing module of the processing operation stage is used for comparing the operation evaluation coefficient of the target machine tool in the processing operation stage with a preset operation evaluation coefficient threshold corresponding to the machine tool in the processing operation stage, if the operation evaluation coefficient of the target machine tool in the processing operation stage is larger than the corresponding operation evaluation coefficient threshold, the processing operation of the target machine tool is stopped, and an early warning prompt is sent out, otherwise, the processing operation of the target machine tool is continuously executed;
the processed workpiece quality analysis module is used for marking the processed workpiece of the target machine tool after the processing operation stage is finished as the processed workpiece, scanning the processed workpiece corresponding to the target machine tool, analyzing the processing quality of the processed workpiece corresponding to the target machine tool, and performing corresponding processing after comparative analysis;
and the machine tool processing data storage library is used for storing safe bearing pressure of each material processing workpiece corresponding to each shape and a standard three-dimensional model of each processing workpiece in the processing process, storing the position coordinates of the central point of the standard adjusting arm and the relative angle of the standard adjusting arm corresponding to the target machine tool when processing each shape processing workpiece, and storing the working sound parameters of the standard tool, the working rotating speed of the standard tool, the working flow rate of the standard cooling liquid spray head and the working flow rate of the standard cooling liquid spray head corresponding to the target machine tool when processing each material processing workpiece.
2. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis is characterized in that: the specific implementation manner of the processing preparation information acquisition module is as follows:
acquiring a preprocessed workpiece image of a target machine tool in a preprocessing stage through a high-definition camera, comparing the preprocessed workpiece image of the target machine tool in the preprocessing stage to obtain the shape and the material of the preprocessed workpiece of the target machine tool in the preprocessing stage, and taking the shape and the material of the preprocessed workpiece as preprocessed workpiece information;
dividing a contact area of a clamp corresponding to a target machine tool and a preprocessed workpiece into clamp subareas according to an equal-area dividing mode, sequentially numbering the clamp subareas as 1,2, 1, i, k according to a preset sequence, and acquiring clamp clamping information of the clamp corresponding to the target machine tool in a preprocessing stage, wherein the clamp clamping information is bearing pressure of each clamp subarea, and marking the bearing pressure of each clamp subarea of the target machine tool in the preprocessing stage as F i I denotes the number of each clamp sub-region, i ═ 1,2.. k;
acquiring regulating and controlling information of a regulating arm corresponding to a target machine tool in a preprocessing stage, wherein the regulating and controlling information of the regulating arm comprises a central point position coordinate of the regulating arm and a relative angle of the regulating arm, and the regulating and controlling information is marked as G (x, y, z) and theta (theta) 0 。
3. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis is characterized in that: the machine tool preparation evaluation coefficient analysis module corresponds to the specific implementation mode as follows;
extracting the safe bearing pressure of each material processing workpiece with each shape stored in a machine tool processing data storage bank in the processing process, screening the safe bearing pressure of the pre-processing workpiece corresponding to the target machine tool according to the pre-processing workpiece shape and the pre-processing workpiece material of the target machine tool in the pre-processing stage, and marking the safe bearing pressureIs F An Analyzing to obtain the corresponding fixture working influence coefficient of the target machine tool in the preprocessing stage
Wherein beta is expressed as a preset stress influence factor corresponding to the preprocessed workpiece;
extracting the position coordinates and the relative angles of the standard adjusting arms of the target machine tool corresponding to the machining of the workpiece with each shape stored in the machine tool machining data storage library, screening the position coordinates and the relative angles of the standard adjusting arms of the target machine tool corresponding to the machining of the workpiece to be preprocessed, and sequentially marking the position coordinates and the relative angles as G ' (x ', y ', z ') and theta ' 0 Analyzing to obtain the corresponding working influence coefficient of the adjusting arm of the target machine tool in the preprocessing stage
Wherein D is expressed as a preset allowable error distance of the position of the central point of the adjusting arm,
expressing the adjustment influence factor corresponding to the preset central point position of the adjusting arm, and expressing sigma the adjustment influence factor corresponding to the preset relative angle of the adjusting arm;
substituting the corresponding fixture work influence coefficient R and the corresponding regulating arm work influence coefficient T of the target machine tool in the preprocessing stage into a formula A ═ e-1) ζ*(R+T) And obtaining a preparation evaluation coefficient A of the target machine tool in the preprocessing stage, wherein zeta represents a preset evaluation compensation index of the machine tool in the preprocessing stage, and e represents a natural constant.
4. The on-line intelligent monitoring system for machine tool operation based on multidimensional data analysis, according to claim 3, is characterized in that: the specific implementation manner of the preprocessing stage processing module is as follows:
and if the preparation evaluation coefficient of the target machine tool in the preprocessing stage is greater than the preset preparation evaluation coefficient threshold corresponding to the machine tool in the preprocessing stage, sending a manual adjustment early warning prompt.
5. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis is characterized in that: the machine tool working parameter detection module corresponds to the following specific detection modes:
detecting the working parameters of the cutter of the target machine tool in the processing and running stage in real time, wherein the working parameters of the cutter comprise the working rotating speed of the cutter, the curvature of the cutter and the abrasion degree of the cutter, and respectively marking the working rotating speed of the cutter, the curvature of the cutter and the abrasion degree of the cutter of the target machine tool in the processing and running stage as V, Q, C;
measuring cutter working sound parameters of the target machine tool in a processing operation stage in real time, wherein the cutter working sound parameters comprise cutter working generation volume and cutter working generation tone, and respectively marking the cutter working generation volume and the cutter working generation tone of the target machine tool in the processing operation stage as L and P;
and detecting working parameters of a cooling liquid spray head of the target machine tool in a machining operation stage in real time, wherein the working parameters of the cooling liquid spray head comprise the flow speed of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid, and the flow speed of the cooling liquid spray head, the flow rate of the cooling liquid spray head and the spraying area of the cooling liquid of the target machine tool in the machining operation stage are respectively marked as M, N, S.
6. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis is characterized in that: the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module comprises the following steps:
extracting the tool curvature and tool abrasion degree of the target machine tool in the processing operation stage, and analyzing to obtain the tool contour model conformity B of the target machine tool in the processing operation stage;
extracting standard cutter working sound parameters and standard cutter working rotating speeds which are stored in a machine tool processing data storage library and correspond to a target machine tool when processing workpieces of various materials, and screening the standard cutter working sound parameters and the standard cutter working rotating speeds which correspond to the target machine tool in a processing operation stage according to the materials of preprocessed workpieces corresponding to the target machine tool;
analyzing the tool working influence coefficient of a target machine tool in a machining operation stage
Wherein alpha is a preset tool work influence factor, V Sign board Expressed as the corresponding standard tool operating speed, mu, of the target machine tool in the machining operation stage 1 And mu 2 Respectively representing preset tool working rotating speed influence factors and tool working sound influence factors, and respectively representing the standard tool working generation volume and the standard tool working generation tone of the target machine tool in the processing operation stage.
7. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis, according to claim 6, is characterized in that: the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module further comprises:
extracting the working flow speed and the working flow of a standard cooling liquid spray head corresponding to a target machine tool when the target machine tool processes workpieces made of various materials and stored in a machine tool processing data storage library, and screening the standard working flow speed and the standard working flow of the cooling liquid spray head of the target machine tool in a processing operation stage according to the materials of pre-processed workpieces corresponding to the target machine tool;
analyzing the working influence coefficient of a cooling liquid spray head of a target machine tool in a machining operation stage
In which ξ 1 And xi 2 Respectively expressed as preset coolant spray head flow rate and coolant spray headInfluence factor corresponding to flow, M Sign board 、N Sign board Respectively expressed as the standard working flow velocity and the standard working flow of the cooling liquid spray head in the processing operation stage of the target machine tool, psi is expressed as a preset spraying area influence factor of the cooling liquid spray head, S Sign board Indicated as a preset coolant spray header calibration spray area.
8. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis as recited in claim 7, is characterized in that: the specific analysis mode corresponding to the machine tool operation evaluation coefficient analysis module further comprises:
substituting the tool working influence coefficient J and the cooling liquid spray head working influence coefficient H of the target machine tool in the machining operation stage into a machine tool operation evaluation coefficient analysis formula
Obtaining the operation evaluation coefficient U of the target machine tool in the processing operation stage, wherein tau 1 And τ 2 And respectively expressing the machine tool operation correction coefficients corresponding to the preset working state of the cutter and the working state of the cooling liquid spray head.
9. The on-line intelligent monitoring system for the operation of the machine tool based on the multidimensional data analysis is characterized in that: the specific mode of scanning the machined workpiece corresponding to the target machine tool in the machined workpiece quality analysis module is as follows:
the method comprises the steps of carrying out omnibearing scanning on a machined workpiece corresponding to a target machine tool through a three-dimensional laser scanner to obtain an omnibearing image of the machined workpiece corresponding to the target machine tool, constructing a three-dimensional model of the machined workpiece corresponding to the target machine tool according to the omnibearing image of the machined workpiece corresponding to the target machine tool, acquiring spatial coordinates of preset acquisition points in the three-dimensional model of the machined workpiece corresponding to the target machine tool according to the three-dimensional model of the machined workpiece corresponding to the target machine tool, and marking the spatial coordinates of the preset acquisition points in the three-dimensional model of the machined workpiece corresponding to the target machine tool as W ″ o (x″ o ,y″ o ,z″ o ) Wherein o is the number of each preset acquisition point, and o is 1,2.
10. The on-line intelligent monitoring system for machine tool operation based on multidimensional data analysis, according to claim 9, is characterized in that: the processing quality analysis mode of the processed workpiece corresponding to the target machine tool in the processed workpiece quality analysis module comprises the following steps:
extracting standard three-dimensional models of all processing workpieces stored in a machine tool processing data storage library, screening the standard three-dimensional models of the processing workpieces corresponding to the target machine tool, extracting standard space coordinates of all preset acquisition points in the standard three-dimensional models of the processing workpieces corresponding to the target machine tool, and marking the standard space coordinates as W ″ Mark o (x″ Mark o ,y″ Mark o ,z″ Mark o )；
Analyzing spatial position deviation coefficients of target machine tool corresponding to preset acquisition points in processed workpiece
Wherein D' Allow for The pick point position of the processed workpiece as indicated as preset allows for an offset distance,
and expressing the influence factors corresponding to the position deviation of the preset acquisition point of the processed workpiece.
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