CN117808798B - Visual acquisition and analysis method for intelligent manufacturing production data of circular sawing machine - Google Patents
Visual acquisition and analysis method for intelligent manufacturing production data of circular sawing machine Download PDFInfo
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Abstract
The invention relates to the technical field of visual acquisition and analysis of intelligent manufacturing production data of a circular sawing machine, and particularly discloses a visual acquisition and analysis method of intelligent manufacturing production data of a circular sawing machine, which comprises the following steps: production precision evaluation, cutting precision evaluation, working performance evaluation and manufacturing production quality evaluation; according to the invention, the production precision evaluation index and the comprehensive cutting precision evaluation index of the circular saw blade in the target circular sawing machine are combined and analyzed, so that the manufacturing production quality evaluation index of the target circular sawing machine is analyzed, abnormal feedback of the manufacturing production quality of the target circular sawing machine is performed, the problem in the production process can be found and solved in time by monitoring and analyzing the production data of the circular sawing machine in real time, meanwhile, a user can intuitively know the production process through a visual interface, the production adjustment and optimization are facilitated, and the circular saw blade is ensured to have good performance and stability in the actual use process.
Description
Technical Field
The invention relates to the technical field of visual acquisition and analysis of intelligent manufacturing production data of a circular sawing machine, in particular to a visual acquisition and analysis method of intelligent manufacturing production data of a circular sawing machine.
Background
Along with the rapid development of intelligent manufacturing, a circular sawing machine is used as important equipment in the wood processing industry, the production efficiency, stability and intelligence level of the circular sawing machine directly influence the product quality and the enterprise competitiveness, however, the traditional circular sawing machine production process data acquisition and analysis method has the problems of incomplete data acquisition, inaccurate analysis, poor real-time performance and the like, and the requirements of modern intelligent manufacturing are difficult to meet, so that the development of the circular sawing machine intelligent manufacturing production data visual acquisition and analysis method has important practical significance and application value.
The existing visual acquisition and analysis method for intelligent manufacturing production data of the circular sawing machine also has the following problems: 1. in the production precision evaluation level, whether the size precision of the circular saw blade in the circular saw machine is qualified or not is only considered currently, the space deviation of saw teeth on the circular saw blade and the tooth-shaped precision are not analyzed, the coverage of the production precision evaluation of the circular saw blade is reduced, meanwhile, the accuracy of the production precision evaluation of the circular saw blade is reduced, and the circular saw blade cannot be ensured to have good performance and stability in the actual use process, so that the product quality and the production efficiency are reduced.
2. In the aspect of working performance evaluation, only the cutting stability and the sound abnormality index of the circular sawing machine in the operation process are considered currently, the rotating speed stability of the circular sawing machine in the operation process is not analyzed, the comprehensiveness of the working performance evaluation of the target circular sawing machine is reduced, and meanwhile, the cutting efficiency of the circular sawing machine and the utilization rate of cutting materials are reduced, so that the service life of the circular sawing machine is influenced, and the cost for maintaining and replacing parts is possibly increased.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a visual collection and analysis method for intelligent manufacturing production data of a circular sawing machine is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a visual acquisition and analysis method for intelligent manufacturing production data of a circular sawing machine, which comprises the following steps: s1, production precision evaluation: the method comprises the steps of collecting the diameter and the thickness of a circular saw blade in a target circular saw machine and the distance between saw teeth on the circular saw blade, collecting images of the circular saw blade in the target circular saw machine, obtaining contour images corresponding to the saw teeth on the circular saw blade, and analyzing the production precision evaluation index of the circular saw blade in the target circular saw machine.
S2, cutting accuracy assessment: and randomly distributing sampling points on each cutting surface of the target circular sawing machine, which is correspondingly cut by the circular saw blade, collecting the height corresponding to each sampling point on each cutting surface, collecting gray level images of each cutting surface, and analyzing the comprehensive cutting precision evaluation index of the circular saw blade in the target circular sawing machine.
S3, working performance evaluation: and collecting vibration frequency and loudness of the target circular sawing machine in the operation process, collecting the corresponding rotating speed of the circular saw blade in each monitoring time period of the target circular sawing machine in the operation process, and analyzing the working performance evaluation index of the target circular sawing machine.
S4, manufacturing production quality evaluation: and calculating a manufacturing production quality evaluation index of the target circular sawing machine, and when the manufacturing production quality evaluation index is smaller than a set value, indicating that the manufacturing production quality of the target circular sawing machine is abnormal, and feeding back.
Specifically, the production precision evaluation index of the circular saw blade in the analysis target circular sawing machine is specifically analyzed by the following steps: a1, respectively recording the diameter and thickness of the circular saw blade in the target circular saw machine and the interval between saw teeth on the circular saw blade asAnd/>Wherein/>Number representing saw tooth,/>。
A2, respectively extracting the set diameter, the set thickness and the set pitch of the circular saw blade in the target circular saw machine from the cloud database, and analyzing and marking as、/>And/>。
A3, calculating the dimension precision evaluation index of the circular saw blade in the target circular sawing machine，Wherein/>And/>Respectively represent the diameter deviation and thickness deviation of the set reference,/>And/>The set diameter deviation and thickness deviation are respectively indicated to correspond to the size accuracy evaluation duty ratio weight.
A4, calculating the pitch deviation index of the saw teeth on the circular saw blade，/>Wherein, the method comprises the steps of, wherein,Represents the pitch deviation of the set reference,/>Representing the number of serrations.
A5, calculating the tooth form precision evaluation index of the saw teeth on the circular saw blade according to the contour image corresponding to each saw tooth on the circular saw blade。
A6, calculating a production precision evaluation index of the circular saw blade in the target circular sawing machine，Wherein/>、/>And/>Respectively represent the dimension precision evaluation index, the pitch deviation index and the tooth form precision evaluation index of the set reference,/>、/>And/>And respectively representing the set production precision evaluation duty ratio weight corresponding to the dimensional precision, the spacing deviation and the tooth form precision.
Specifically, the tooth form precision evaluation index of the saw teeth on the circular saw blade is calculated by the following specific calculation process: b1, extracting standard contours corresponding to all the saw teeth on the circular saw blade from the cloud database, positioning standard contour areas corresponding to all the saw teeth on the circular saw blade from the standard contours, and marking as。
B2, positioning the outline corresponding to each saw tooth on the circular saw blade from the outline image corresponding to each saw tooth on the circular saw blade, overlapping and comparing the outline with the standard outline corresponding to each saw tooth on the circular saw blade to obtain the overlapping outline area corresponding to each saw tooth on the circular saw blade, and marking as。
B3, calculating tooth form precision evaluation index of saw teeth on the circular saw blade，/>Wherein, the method comprises the steps of, wherein,The overlapping profile area ratio of the set reference is shown.
Specifically, the comprehensive cutting precision evaluation index of the circular saw blade in the analysis target circular sawing machine comprises the following specific analysis processes: c1, the height corresponding to each sampling point on each cutting surface is recorded asWherein/>The number indicating the number of the cut surface,，/>Number representing sampling point,/>。
C2, calculating the flatness corresponding to each cutting surface，/>Wherein/>Representing the height deviation of the set reference,/>Represents the/>On the cutting face/>Height corresponding to each sampling point,/>Representing natural constants.
C3, calculating the roughness corresponding to each cutting surface according to the gray level image of each cutting surface。
C4, calculating a cutting precision evaluation index corresponding to each cutting surface，Wherein/>And/>Respectively representing the flatness and roughness of the set reference,/>And/>And respectively representing the set flatness and roughness corresponding to the cutting precision evaluation duty ratio weight.
C5, extracting the maximum value from the cutting precision evaluation index corresponding to each cutting surface, and marking as。
C6, comparing the cutting precision evaluation index corresponding to each cutting surface with the cutting precision evaluation index of the set reference, if the cutting precision evaluation index corresponding to a certain cutting surface is smaller than the cutting precision evaluation index of the set reference, marking the cutting surface as an abnormal cutting surface, counting the number of abnormal cutting surfaces, and marking as。
C7, calculating comprehensive cutting precision evaluation index of circular saw blade in target circular sawing machine，Wherein/>And/>Respectively represent the cutting accuracy evaluation index and abnormal cutting surface ratio of the set reference,/>And/>Respectively representing the set cutting precision evaluation index and the corresponding comprehensive cutting precision evaluation duty ratio weight of the abnormal cutting surface duty ratio,/>Indicating the number of cut faces.
Specifically, the roughness corresponding to each cutting surface is calculated, and the specific calculation process is as follows: d1, locating each gray value and the gray area corresponding to each gray value from the gray image of each cutting surface.
And D2, comparing each gray value corresponding to each cutting surface with a rough gray value set stored in a cloud database, if a certain gray value is positioned in the rough gray value set, marking the gray area corresponding to the gray value as a rough area, counting the number of rough areas corresponding to each cutting surface, and counting the area of each rough area.
D3, recording the number of rough areas corresponding to each cutting surface as。
D4, accumulating the areas of the rough areas corresponding to the cutting surfaces to obtain the total rough area corresponding to the cutting surfaces, and marking as。
D5, calculating the roughness corresponding to each cutting surface，/>Wherein, the method comprises the steps of, wherein,And/>Respectively representing the number of rough areas and rough areas of the set reference,/>And/>The set number of rough areas and the roughness evaluation duty ratio weight corresponding to the rough area are respectively represented.
Specifically, the working performance evaluation index of the analysis target circular sawing machine comprises the following specific analysis processes: e1, recording the vibration frequency of the target circular sawing machine in the operation process as。
E2, calculating the cutting stability of the target circular sawing machine in the operation process，/>Wherein/>And/>The vibration frequency and the vibration frequency deviation of the set reference are shown, respectively.
E3, calculating the abnormal sound index of the target circular sawing machine in the operation process according to the loudness of the target circular sawing machine in the operation process。
E4, calculating the rotation speed stability of the target circular sawing machine in the operation process according to the rotation speed of the circular sawing blade corresponding to each monitoring time period in the operation process of the target circular sawing machine。
E5, calculating the working performance evaluation index of the target circular sawing machine，Wherein/>、/>And/>Respectively represent the cutting stability, the abnormal sound index and the rotating speed stability of the set reference,/>、/>And/>And respectively representing the set work performance evaluation duty ratio weights corresponding to the cutting stability, the sound abnormality index and the rotating speed stability.
Specifically, the calculation of the rotational speed stability of the target circular sawing machine in the operation process includes the following specific calculation processes: f1, differentiating the rotating speed of the target circular sawing machine corresponding to each monitoring time period in the operation process with the set rotating speed of the circular sawing machine stored in the cloud database to obtain the rotating speed deviation of the circular sawing machine corresponding to each monitoring time period, comparing the rotating speed deviation with the rotating speed deviation of the set reference, recording the monitoring time period corresponding to the rotating speed deviation which is larger than or equal to the rotating speed deviation of the set reference as a rotating speed abnormal time period, counting the number of the rotating speed abnormal time periods of the circular sawing machine, and recording as。
F2, respectively extracting maximum value and minimum value from rotation speed deviation of the circular saw blade corresponding to each monitoring time period, and respectively recording asAnd/>。
F3, calculating the rotating speed stability of the target circular sawing machine in the operation process，Wherein/>And/>Respectively representing the number of abnormal time periods of the rotating speed and the extreme deviation of the rotating speed of the set reference,/>And/>And respectively representing the set number of abnormal rotating speed time periods and the rotating speed stability evaluation duty ratio weight corresponding to the extreme rotating speed deviation.
Specifically, the calculation formula of the manufacturing production quality evaluation index of the target circular sawing machine is as follows: Wherein/> Representing the manufacturing production quality assessment index of the target circular saw machine,/>、/>And/>And respectively representing the set production precision, the set comprehensive cutting precision and the set production quality evaluation duty ratio weight corresponding to the set working performance.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the production precision evaluation index and the comprehensive cutting precision evaluation index of the circular saw blade in the target circular sawing machine are combined and analyzed, so that the manufacturing production quality evaluation index of the target circular sawing machine is analyzed, feedback is carried out, the problem in the production process can be found and solved in time by monitoring and analyzing the production data of the circular sawing machine in real time, and meanwhile, a user can intuitively know the production process through a visual interface, so that the production adjustment and optimization are facilitated.
(2) According to the invention, the diameter and thickness of the circular saw blade in the target circular saw machine and the intervals among the saw teeth on the circular saw blade are combined, and meanwhile, the contour images corresponding to the saw teeth on the circular saw blade are combined, so that the production precision evaluation index of the circular saw blade in the target circular saw machine is analyzed, the coverage of the production precision evaluation of the circular saw blade is improved, the accuracy of the production precision evaluation of the circular saw blade is improved, the circular saw blade is ensured to have good performance and stability in the actual use process, and the product quality and the production efficiency are improved.
(3) According to the invention, the vibration frequency and loudness of the target circular sawing machine in the operation process are collected, the rotating speed of the circular sawing blade corresponding to each monitoring time period of the target circular sawing machine in the operation process is collected, the working performance evaluation index of the target circular sawing machine is analyzed, the comprehensiveness of the working performance evaluation of the target circular sawing machine is improved, the cutting efficiency of the circular sawing machine and the utilization rate of cutting materials are improved, the service life of the circular sawing machine is prolonged, and the cost for maintaining and replacing components is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a visual acquisition and analysis method for intelligent manufacturing production data of a circular sawing machine, which comprises the following steps: s1, production precision evaluation: the method comprises the steps of collecting the diameter and the thickness of a circular saw blade in a target circular saw machine and the distance between saw teeth on the circular saw blade, collecting images of the circular saw blade in the target circular saw machine, obtaining contour images corresponding to the saw teeth on the circular saw blade, and analyzing the production precision evaluation index of the circular saw blade in the target circular saw machine.
The diameter and thickness of the circular saw blade in the circular sawing machine are acquired through a laser diameter measuring instrument and an ultrasonic thickness measuring instrument respectively, the distance between saw teeth on the circular saw blade is acquired through a tooth pitch measuring instrument, and the contour image corresponding to each saw tooth on the circular saw blade is acquired through a high-definition camera arranged.
The pitch between the saw teeth on the circular saw blade is the distance between one tooth tip and the next tooth tip.
In a specific embodiment of the present invention, the production accuracy evaluation index of the circular saw blade in the target circular saw machine is analyzed, and the specific analysis process is as follows: a1, respectively recording the diameter and thickness of the circular saw blade in the target circular saw machine and the interval between saw teeth on the circular saw blade asAnd/>/>Wherein/>Number representing saw tooth,/>。
A2, respectively extracting the set diameter, the set thickness and the set pitch of the circular saw blade in the target circular saw machine from the cloud database, and analyzing and marking as、/>And/>。
A3, calculating the dimension precision evaluation index of the circular saw blade in the target circular sawing machine，Wherein/>And/>Respectively represent the diameter deviation and thickness deviation of the set reference,/>And/>The set diameter deviation and thickness deviation are respectively indicated to correspond to the size accuracy evaluation duty ratio weight.
In the specific embodiment of the present invention,The value of (1) is set to be 50 percent,/>The diameter of the circular saw blade determines the cutting range and capability thereof, and the thickness is an important index of the strength and rigidity of the circular saw blade, so that the influence of the diameter and thickness on the dimensional accuracy needs to be comprehensively considered when selecting the circular saw blade.
A4, calculating the pitch deviation index of the saw teeth on the circular saw blade，/>Wherein, the method comprises the steps of, wherein,Represents the pitch deviation of the set reference,/>Representing the number of serrations.
A5, calculating the tooth form precision evaluation index of the saw teeth on the circular saw blade according to the contour image corresponding to each saw tooth on the circular saw blade。
In a specific embodiment of the present invention, the calculating the tooth form precision evaluation index of the saw teeth on the circular saw blade includes the following specific calculating steps: b1, extracting standard contours corresponding to all the saw teeth on the circular saw blade from the cloud database, positioning standard contour areas corresponding to all the saw teeth on the circular saw blade from the standard contours, and marking as。
B2, positioning the outline corresponding to each saw tooth on the circular saw blade from the outline image corresponding to each saw tooth on the circular saw blade, overlapping and comparing the outline with the standard outline corresponding to each saw tooth on the circular saw blade to obtain the overlapping outline area corresponding to each saw tooth on the circular saw blade, and marking as。
B3, calculating tooth form precision evaluation index of saw teeth on the circular saw blade，/>Wherein, the method comprises the steps of, wherein,The overlapping profile area ratio of the set reference is shown.
A6, calculating a production precision evaluation index of the circular saw blade in the target circular sawing machine，Wherein/>、/>And/>Respectively represent the dimension precision evaluation index, the pitch deviation index and the tooth form precision evaluation index of the set reference,/>、/>And/>And respectively representing the set production precision evaluation duty ratio weight corresponding to the dimensional precision, the spacing deviation and the tooth form precision.
In the specific embodiment of the present invention,The value of (2) is set to 30 percentThe value of (2) is set to 30 percentThe set value of (2) is 40%, the tooth shape deformation may cause the cutting capability of the saw teeth to be reduced, so that the saw blade is easier to be clamped or overheated in the cutting process, and the deformation may weaken the structural strength of the saw teeth, so that the tooth shape deformation is more important for the application needing to bear a larger load.
According to the method and the device for evaluating the production precision of the circular saw blade, the diameter and the thickness of the circular saw blade in the target circular saw machine and the intervals among the saw teeth on the circular saw blade are combined, and meanwhile, the corresponding outline images of the saw teeth on the circular saw blade are combined, so that the production precision evaluation index of the circular saw blade in the target circular saw machine is analyzed, the coverage of the production precision evaluation of the circular saw blade is improved, the accuracy of the production precision evaluation of the circular saw blade is improved, and good performance and stability of the circular saw blade in the actual use process are ensured, so that the product quality and the production efficiency are improved.
S2, cutting accuracy assessment: and randomly distributing sampling points on each cutting surface of the target circular sawing machine, which is correspondingly cut by the circular saw blade, collecting the height corresponding to each sampling point on each cutting surface, collecting gray level images of each cutting surface, and analyzing the comprehensive cutting precision evaluation index of the circular saw blade in the target circular sawing machine.
The heights corresponding to the sampling points on the cutting surfaces are acquired by a laser range finder.
The method for acquiring the gray level image of each cutting surface is as follows: the image of each cutting surface is acquired through a high-definition camera, the acquired image of each cutting surface is imported into a computer, and is processed and analyzed by using image processing software, so that the gray level image of each cutting surface is obtained.
In a specific embodiment of the present invention, the analysis target circular sawing machine includes the following specific analysis processes: c1, the height corresponding to each sampling point on each cutting surface is recorded asWherein/>Number indicating cut surface,/>，/>Number representing sampling point,/>。
C2, calculating the flatness corresponding to each cutting surface，/>Wherein/>Representing the height deviation of the set reference,/>Represents the/>On the cutting face/>Height corresponding to each sampling point,/>Representing natural constants.
C3, calculating the roughness corresponding to each cutting surface according to the gray level image of each cutting surface。
In a specific embodiment of the present invention, the calculating the roughness corresponding to each cutting surface includes: d1, locating each gray value and the gray area corresponding to each gray value from the gray image of each cutting surface.
And D2, comparing each gray value corresponding to each cutting surface with a rough gray value set stored in a cloud database, if a certain gray value is positioned in the rough gray value set, marking the gray area corresponding to the gray value as a rough area, counting the number of rough areas corresponding to each cutting surface, and counting the area of each rough area.
D3, recording the number of rough areas corresponding to each cutting surface as。
D4, accumulating the areas of the rough areas corresponding to the cutting surfaces to obtain the total rough area corresponding to the cutting surfaces, and marking as。
D5, calculating the roughness corresponding to each cutting surface，/>Wherein, the method comprises the steps of, wherein,And/>Respectively representing the number of rough areas and rough areas of the set reference,/>And/>The set number of rough areas and the roughness evaluation duty ratio weight corresponding to the rough area are respectively represented.
In the specific embodiment of the present invention,The value of (1) is set to be 50 percent,/>The value of (2) was set to 50%.
C4, calculating a cutting precision evaluation index corresponding to each cutting surface，Wherein/>And/>Respectively representing the flatness and roughness of the set reference,/>And/>And respectively representing the set flatness and roughness corresponding to the cutting precision evaluation duty ratio weight.
In the specific embodiment of the present invention,The value of (1) is set to be 50 percent,/>The set value of (2) is 50%, the flatness and the roughness are important indexes for evaluating the cutting precision, and a flat and smooth cutting surface means that excessive vibration or deviation is not generated in the cutting process, so that the higher cutting precision is ensured, and the flatness and the roughness are also important when the cutting precision is analyzed.
C5, extracting the maximum value from the cutting precision evaluation index corresponding to each cutting surface, and marking as。
C6, comparing the cutting precision evaluation index corresponding to each cutting surface with the cutting precision evaluation index of the set reference, if the cutting precision evaluation index corresponding to a certain cutting surface is smaller than the cutting precision evaluation index of the set reference, marking the cutting surface as an abnormal cutting surface, counting the number of abnormal cutting surfaces, and marking as。
C7, calculating comprehensive cutting precision evaluation index of circular saw blade in target circular sawing machine，Wherein/>And/>Respectively represent the cutting accuracy evaluation index and abnormal cutting surface ratio of the set reference,/>And/>Respectively representing the set cutting precision evaluation index and the corresponding comprehensive cutting precision evaluation duty ratio weight of the abnormal cutting surface duty ratio,/>Indicating the number of cut faces.
In the specific embodiment of the present invention,The value of (1) is set to be 50 percent,/>The value of (2) was set to 50%.
S3, working performance evaluation: and collecting vibration frequency and loudness of the target circular sawing machine in the operation process, collecting the corresponding rotating speed of the circular saw blade in each monitoring time period of the target circular sawing machine in the operation process, and analyzing the working performance evaluation index of the target circular sawing machine.
The vibration frequency and the loudness of the target circular sawing machine in the operation process are acquired through a vibration sensor and a sound sensor respectively, and the rotating speed of the circular sawing blade corresponding to each monitoring time period is acquired through a laser rotating speed measuring instrument arranged near the circular sawing blade.
In a specific embodiment of the present invention, the working performance evaluation index of the analysis target circular sawing machine is specifically analyzed by: e1, recording the vibration frequency of the target circular sawing machine in the operation process as。
E2, calculating the cutting stability of the target circular sawing machine in the operation process，/>Wherein/>And/>The vibration frequency and the vibration frequency deviation of the set reference are shown, respectively.
E3, calculating the abnormal sound index of the target circular sawing machine in the operation process according to the loudness of the target circular sawing machine in the operation process。
It should be noted that, the sound abnormality index of the target circular sawing machine in the operation process is calculated, and the specific calculation process is as follows: g1, recording the loudness of the target circular sawing machine in the operation process as。
G2, calculating the sound abnormality index of the target circular sawing machine in the operation process，/>Wherein, the method comprises the steps of, wherein,The loudness of the set reference is indicated.
E4, calculating the rotation speed stability of the target circular sawing machine in the operation process according to the rotation speed of the circular sawing blade corresponding to each monitoring time period in the operation process of the target circular sawing machine。
In a specific embodiment of the present invention, the calculating the rotational speed stability of the target circular sawing machine in the operation process includes: f1, differentiating the rotating speed of the target circular sawing machine corresponding to each monitoring time period in the operation process with the set rotating speed of the circular sawing machine stored in the cloud database to obtain the rotating speed deviation of the circular sawing machine corresponding to each monitoring time period, comparing the rotating speed deviation with the rotating speed deviation of the set reference, recording the monitoring time period corresponding to the rotating speed deviation which is larger than or equal to the rotating speed deviation of the set reference as a rotating speed abnormal time period, counting the number of the rotating speed abnormal time periods of the circular sawing machine, and recording as。
F2, respectively extracting maximum value and minimum value from rotation speed deviation of the circular saw blade corresponding to each monitoring time period, and respectively recording asAnd/>。
F3, calculating the rotating speed stability of the target circular sawing machine in the operation process，Wherein/>And/>Respectively representing the number of abnormal time periods of the rotating speed and the extreme deviation of the rotating speed of the set reference,/>And/>And respectively representing the set number of abnormal rotating speed time periods and the rotating speed stability evaluation duty ratio weight corresponding to the extreme rotating speed deviation.
In the specific embodiment of the present invention,The value of (1) is set to be 50 percent,/>The value of (2) was set to 50%.
E5, calculating the working performance evaluation index of the target circular sawing machine，Wherein/>、/>And/>Respectively represent the cutting stability, the abnormal sound index and the rotating speed stability of the set reference,/>、/>And/>And respectively representing the set work performance evaluation duty ratio weights corresponding to the cutting stability, the sound abnormality index and the rotating speed stability.
In the specific embodiment of the present invention,The value of (2) is set to 30 percentThe value of (2) is set to 30 percentThe set value of the numerical control device is 40%, the cutting stability, the abnormal sound index and the rotating speed stability are all important indexes for analyzing the working performance of the circular sawing machine, wherein the rotating speed stability reflects the stability and the control precision of the rotating speed of the circular sawing machine in the working process, one stable rotating speed can ensure the continuity and the stability of the cutting process, the cutting error and the saw tooth abrasion caused by the fluctuation of the rotating speed are reduced, in addition, the rotating speed stability can reflect the control system and the motor performance of the circular sawing machine, and the basis is provided for optimizing and improving equipment, so that the rotating speed stability is more important for evaluating the working performance of the circular sawing machine.
According to the embodiment of the invention, the vibration frequency and loudness of the target circular sawing machine in the operation process are collected, the rotating speed of the circular sawing blade corresponding to each monitoring time period of the target circular sawing machine in the operation process is collected, the working performance evaluation index of the target circular sawing machine is analyzed, the comprehensiveness of the working performance evaluation of the target circular sawing machine is improved, the cutting efficiency of the circular sawing machine and the utilization rate of cutting materials are improved, the service life of the circular sawing machine is prolonged, and the cost for maintaining and replacing components is reduced.
S4, manufacturing production quality evaluation: and calculating a manufacturing production quality evaluation index of the target circular sawing machine, and when the manufacturing production quality evaluation index is smaller than a set value, indicating that the manufacturing production quality of the target circular sawing machine is abnormal, and feeding back.
In a specific embodiment of the present invention, a calculation formula of the manufacturing production quality evaluation index of the target circular sawing machine is: Wherein/> Representing the manufacturing production quality assessment index of the target circular saw machine,/>、/>And/>And respectively representing the set production precision, the set comprehensive cutting precision and the set production quality evaluation duty ratio weight corresponding to the set working performance.
In the specific embodiment of the present invention,The value of (2) is set to 30 percentThe value of (2) is set to 40 percent and is/areThe set value of the cutting tool is 30%, the production precision, the comprehensive cutting precision and the working performance are all important aspects of the production quality evaluation of the circular sawing machine, the comprehensive cutting precision directly reflects the cutting capability and the performance of the circular sawing machine and is important for ensuring the product quality and the production efficiency, so that the comprehensive cutting precision is more important for the production quality evaluation of the circular sawing machine.
According to the method and the device for analyzing the production quality of the target circular sawing machine, the production precision evaluation index of the circular sawing blade in the target circular sawing machine, the comprehensive cutting precision evaluation index and the working performance evaluation index of the target circular sawing machine are combined and analyzed, so that the manufacturing production quality evaluation index of the target circular sawing machine is analyzed, feedback is carried out, the problem in the production process can be found and solved in time through real-time monitoring and analysis of the production data of the circular sawing machine, and meanwhile, a user can intuitively know the production process through a visual interface, so that production adjustment and optimization are facilitated.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (1)
1. The visual acquisition and analysis method for the intelligent manufacturing production data of the circular sawing machine is characterized by comprising the following steps of:
S1, production precision evaluation: acquiring the diameter and thickness of a circular saw blade in a target circular saw machine and the distance between saw teeth on the circular saw blade, acquiring images of the circular saw blade in the target circular saw machine to obtain contour images corresponding to the saw teeth on the circular saw blade, and analyzing the production precision evaluation index of the circular saw blade in the target circular saw machine;
S2, cutting accuracy assessment: randomly distributing sampling points on each cutting surface of the target circular sawing machine, which is correspondingly cut by the circular saw blade, collecting the height corresponding to each sampling point on each cutting surface, collecting gray level images of each cutting surface, and analyzing the comprehensive cutting precision evaluation index of the circular saw blade in the target circular sawing machine;
S3, working performance evaluation: collecting vibration frequency and loudness of a target circular sawing machine in the operation process, collecting corresponding rotating speeds of a circular saw blade in each monitoring time period of the target circular sawing machine in the operation process, and analyzing a working performance evaluation index of the target circular sawing machine;
S4, manufacturing production quality evaluation: calculating a manufacturing production quality evaluation index of the target circular sawing machine, and when the manufacturing production quality evaluation index is smaller than a set value, indicating that the manufacturing production quality of the target circular sawing machine is abnormal, and feeding back;
The production precision evaluation index of the circular saw blade in the analysis target circular sawing machine comprises the following specific analysis processes:
a1, respectively recording the diameter and thickness of the circular saw blade in the target circular saw machine and the interval between saw teeth on the circular saw blade as And/>/>Wherein/>Number representing saw tooth,/>；
A2, respectively extracting the set diameter, the set thickness and the set pitch of the circular saw blade in the target circular saw machine from the cloud database, and analyzing and marking as、/>And/>；
A3, calculating the dimension precision evaluation index of the circular saw blade in the target circular sawing machine，Wherein/>And/>Respectively represent the diameter deviation and thickness deviation of the set reference,/>And/>Respectively representing the set size precision evaluation duty ratio weight corresponding to the diameter deviation and the thickness deviation;
a4, calculating the pitch deviation index of the saw teeth on the circular saw blade ，/>Wherein/>Represents the pitch deviation of the set reference,/>Representing the number of serrations;
a5, calculating the tooth form precision evaluation index of the saw teeth on the circular saw blade according to the contour image corresponding to each saw tooth on the circular saw blade ；
A6, calculating a production precision evaluation index of the circular saw blade in the target circular sawing machine，Wherein/>、/>And/>Respectively represent the dimension precision evaluation index, the pitch deviation index and the tooth form precision evaluation index of the set reference,/>、/>And/>Respectively representing the set production precision evaluation duty ratio weight corresponding to the dimensional precision, the spacing deviation and the tooth form precision;
The tooth form precision evaluation index of the saw teeth on the circular saw blade is calculated, and the specific calculation process is as follows:
B1, extracting standard contours corresponding to all the saw teeth on the circular saw blade from the cloud database, positioning standard contour areas corresponding to all the saw teeth on the circular saw blade from the standard contours, and marking as ；
B2, positioning the outline corresponding to each saw tooth on the circular saw blade from the outline image corresponding to each saw tooth on the circular saw blade, overlapping and comparing the outline with the standard outline corresponding to each saw tooth on the circular saw blade to obtain the overlapping outline area corresponding to each saw tooth on the circular saw blade, and marking as；
B3, calculating tooth form precision evaluation index of saw teeth on the circular saw blade，/>Wherein/>Representing the overlapping profile area ratio of the set reference;
the comprehensive cutting precision evaluation index of the circular saw blade in the analysis target circular sawing machine comprises the following specific analysis processes:
C1, the height corresponding to each sampling point on each cutting surface is recorded as Wherein/>The number indicating the number of the cut surface,，/>Number representing sampling point,/>；
C2, calculating the flatness corresponding to each cutting surface，/>Wherein/>Representing the height deviation of the set reference,/>Represents the/>On the cutting face/>Height corresponding to each sampling point,/>Representing natural constants;
c3, calculating the roughness corresponding to each cutting surface according to the gray level image of each cutting surface ；
C4, calculating a cutting precision evaluation index corresponding to each cutting surface，Wherein/>And/>Respectively representing the flatness and roughness of the set reference,/>And/>Respectively representing the set cut precision evaluation duty ratio weight corresponding to the flatness and roughness;
c5, extracting the maximum value from the cutting precision evaluation index corresponding to each cutting surface, and marking as ；
C6, comparing the cutting precision evaluation index corresponding to each cutting surface with the cutting precision evaluation index of the set reference, if the cutting precision evaluation index corresponding to a certain cutting surface is smaller than the cutting precision evaluation index of the set reference, marking the cutting surface as an abnormal cutting surface, counting the number of abnormal cutting surfaces, and marking as；
C7, calculating comprehensive cutting precision evaluation index of circular saw blade in target circular sawing machine，Wherein/>And/>Respectively represent the cutting accuracy evaluation index and abnormal cutting surface ratio of the set reference,/>And/>Respectively representing the set cutting precision evaluation index and the corresponding comprehensive cutting precision evaluation duty ratio weight of the abnormal cutting surface duty ratio,/>Representing the number of cut surfaces;
The roughness corresponding to each cutting surface is calculated, and the specific calculation process is as follows:
d1, positioning each gray value and a gray area corresponding to each gray value from the gray image of each cutting surface;
comparing each gray value corresponding to each cutting surface with a rough gray value set stored in a cloud database, if a certain gray value is positioned in the rough gray value set, marking a gray area corresponding to the gray value as a rough area, counting the number of rough areas corresponding to each cutting surface, and counting the area of each rough area;
D3, recording the number of rough areas corresponding to each cutting surface as ；
D4, accumulating the areas of the rough areas corresponding to the cutting surfaces to obtain the total rough area corresponding to the cutting surfaces, and marking as；
D5, calculating the roughness corresponding to each cutting surface，/>Wherein/>AndRespectively representing the number of rough areas and rough areas of the set reference,/>And/>Respectively representing the set number of rough areas and the roughness evaluation duty ratio weight corresponding to the rough areas;
the working performance evaluation index of the analysis target circular sawing machine comprises the following specific analysis processes:
E1, recording the vibration frequency of the target circular sawing machine in the operation process as ；
E2, calculating the cutting stability of the target circular sawing machine in the operation process，/>Wherein, the method comprises the steps of, wherein,And/>Respectively representing the vibration frequency and the vibration frequency deviation of the set reference;
e3, calculating the abnormal sound index of the target circular sawing machine in the operation process according to the loudness of the target circular sawing machine in the operation process ；
E4, calculating the rotation speed stability of the target circular sawing machine in the operation process according to the rotation speed of the circular sawing blade corresponding to each monitoring time period in the operation process of the target circular sawing machine；
E5, calculating the working performance evaluation index of the target circular sawing machine，Wherein/>、/>And/>Respectively represent the cutting stability, the abnormal sound index and the rotating speed stability of the set reference,/>、/>And/>Respectively representing the set work performance evaluation duty ratio weights corresponding to the cutting stability, the sound abnormality index and the rotating speed stability;
The rotating speed stability of the target circular sawing machine in the operation process is calculated, and the specific calculation process is as follows:
F1, differentiating the rotating speed of the target circular sawing machine corresponding to each monitoring time period in the operation process with the set rotating speed of the circular sawing machine stored in the cloud database to obtain the rotating speed deviation of the circular sawing machine corresponding to each monitoring time period, comparing the rotating speed deviation with the rotating speed deviation of the set reference, recording the monitoring time period corresponding to the rotating speed deviation which is larger than or equal to the rotating speed deviation of the set reference as a rotating speed abnormal time period, counting the number of the rotating speed abnormal time periods of the circular sawing machine, and recording as ；
F2, respectively extracting maximum value and minimum value from rotation speed deviation of the circular saw blade corresponding to each monitoring time period, and respectively recording asAnd/>；
F3, calculating the rotating speed stability of the target circular sawing machine in the operation process，Wherein/>And/>Respectively representing the number of abnormal time periods of the rotating speed and the extreme deviation of the rotating speed of the set reference,/>And/>The number of the set rotating speed abnormal time periods and the rotating speed stability evaluation duty ratio weight corresponding to the extreme deviation of the rotating speed are respectively represented;
the calculation formula of the manufacturing production quality evaluation index of the target circular sawing machine is as follows: Wherein/> Indicating the manufacturing production quality evaluation index of the target circular sawing machine,、/>And/>And respectively representing the set production precision, the set comprehensive cutting precision and the set production quality evaluation duty ratio weight corresponding to the set working performance.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103419089A (en) * | 2012-05-22 | 2013-12-04 | 湖南湖机国际机床制造有限公司 | Complete machine working performance optimum design method for circular sawing machine |
| CN109655013A (en) * | 2019-02-01 | 2019-04-19 | 浙江机电职业技术学院 | Circular saw blade saw tooth parameter detection device based on image procossing |
| CN114638084A (en) * | 2021-12-10 | 2022-06-17 | 重庆大学 | Method for predicting roughness of all surfaces of monocrystalline silicon wafers cut by wire saw based on image processing |
| CN115041750A (en) * | 2022-07-11 | 2022-09-13 | 浙江机电职业技术学院 | Circular saw blade state evaluation method applied to automatic gear grinding machine |
| CN115854946A (en) * | 2022-11-23 | 2023-03-28 | 浙江机电职业技术学院 | Sawtooth image pickup device applied to automatic circular saw blade tooth grinding machine and application method thereof |
| CN117066589A (en) * | 2023-10-12 | 2023-11-17 | 山东万利精密机械制造有限公司 | Dynamic control management system for cutting of high-speed metal circular sawing machine |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202019102935U1 (en) * | 2019-05-24 | 2020-08-25 | Altendorf Gmbh | Safety device for machine tools |
| US20220032489A1 (en) * | 2020-07-29 | 2022-02-03 | Chain Orthopedics, Llc | Chain saws, components for chain saws, and systems for operating saws |
-
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- 2024-02-29 CN CN202410223507.7A patent/CN117808798B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103419089A (en) * | 2012-05-22 | 2013-12-04 | 湖南湖机国际机床制造有限公司 | Complete machine working performance optimum design method for circular sawing machine |
| CN109655013A (en) * | 2019-02-01 | 2019-04-19 | 浙江机电职业技术学院 | Circular saw blade saw tooth parameter detection device based on image procossing |
| CN114638084A (en) * | 2021-12-10 | 2022-06-17 | 重庆大学 | Method for predicting roughness of all surfaces of monocrystalline silicon wafers cut by wire saw based on image processing |
| CN115041750A (en) * | 2022-07-11 | 2022-09-13 | 浙江机电职业技术学院 | Circular saw blade state evaluation method applied to automatic gear grinding machine |
| CN115854946A (en) * | 2022-11-23 | 2023-03-28 | 浙江机电职业技术学院 | Sawtooth image pickup device applied to automatic circular saw blade tooth grinding machine and application method thereof |
| CN117066589A (en) * | 2023-10-12 | 2023-11-17 | 山东万利精密机械制造有限公司 | Dynamic control management system for cutting of high-speed metal circular sawing machine |
Non-Patent Citations (2)
| Title |
|---|
| The influence of tangential and torsional vibrations on the stability lobes in metal cutting;Andreas Otto等;《Nonlinear Dynamics》;20150730;第82卷;第1989-2000页 * |
| 基于分形理论的金刚石木工圆锯片磨损状态研究;马雪亭;《工程科技Ⅰ辑》;20170215(第02期);第B024-1458页 * |
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