CN112388390B - Turning cutter replacement system - Google Patents

Turning cutter replacement system Download PDF

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Publication number
CN112388390B
CN112388390B CN202011237361.XA CN202011237361A CN112388390B CN 112388390 B CN112388390 B CN 112388390B CN 202011237361 A CN202011237361 A CN 202011237361A CN 112388390 B CN112388390 B CN 112388390B
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image
coefficient
module
wear
turning tool
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CN112388390A (en
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张�杰
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Shanghai Shengzhiyao Intelligent Technology Co ltd
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Shanghai Shengzhiyao Intelligent Technology Co ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, 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
    • B23Q17/00Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/09Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
    • B23Q17/0952Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining
    • B23Q17/0957Detection of tool breakage
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, 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
    • B23Q17/00Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/24Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves
    • B23Q17/2452Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves for measuring features or for detecting a condition of machine parts, tools or workpieces
    • B23Q17/2457Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves for measuring features or for detecting a condition of machine parts, tools or workpieces of tools
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention discloses a turning tool replacement system, which comprises: the extraction module is used for extracting at least one visual angle image of a test turning tool; the replacement module is used for obtaining a replacement coefficient of each wear part of the tested surface of the test turning tool according to the view angle image; the turning tool replacement system can detect the worn parts (pits) on the surface of the turning tool through a plurality of visual angles, obtain the replacement coefficient corresponding to each worn part through the wear coefficient of each worn part at each visual angle, and generate the replacement prompt corresponding to the tested turning tool when the maximum value of the plurality of replacement coefficients is greater than the replacement threshold, so that the tested turning tool can be automatically replaced in response to the replacement prompt.

Description

Turning cutter replacement system
Technical Field
The invention relates to the technology in the field of machinery, in particular to a turning tool replacement system.
Background
The tool is known as a "tooth" in the machine manufacturing industry. The intelligent recognition of the wear state of the cutter can not only reasonably select the type of the cutter and optimize the relevant parameters of the cutter, but also determine the time for replacing the cutter according to the actual cutting state of the cutter and the quality of a processed workpiece, thereby having important significance for improving the product quality in the mechanical manufacturing industry.
The abrasion of the cutter is a necessary phenomenon in the machining process, when the cutter is abraded to a certain degree, the machining quality of a product is reduced sharply, the normal operation of a machining system is influenced in serious conditions, and even a workpiece is scrapped. In the traditional machining process, workers generally judge the abrasion degree of the cutter according to noise generated during cutting machining or the quality of a machined surface of a workpiece, but interference factors are more in the judging process, the interference factors are related to the working experience of the workers, and the judging result is often inaccurate. In order to ensure the processing quality of products, the abrasion of a cutter in the processing process is imperatively detected.
Disclosure of Invention
The invention provides a turning tool replacement system aiming at the defects in the prior art, which can detect the wear parts (pits) on the surface of a turning tool through a plurality of visual angles, obtain the replacement coefficient corresponding to each wear part through the wear coefficient of each wear part at each visual angle, and generate a replacement prompt corresponding to a tested turning tool when the maximum value of a plurality of replacement coefficients is greater than a replacement threshold, so that the tested turning tool can be automatically replaced by automatically responding to the replacement prompt.
According to one aspect of the present invention, there is provided a turning tool replacement system comprising:
the extraction module is used for extracting at least one visual angle image of a turning tool to be tested;
the replacement module is used for obtaining a replacement coefficient of each wear part of the tested surface of the test turning tool according to the view angle image;
and the prompt module is used for generating a replacement prompt corresponding to the test turning tool based on the fact that the maximum value of the replacement coefficient is larger than a replacement threshold value.
Preferably, the perspective images include a first perspective image and a second perspective image, wherein the first perspective image is obtained by a first image extraction device along a first direction, the second perspective image is obtained by a second image extraction device along a second direction, and the first direction are symmetrical about a baseline perpendicular to the measured surface.
Preferably, the replacement module comprises:
a first coefficient module, for obtaining a first wear coefficient of each wear part according to the first perspective image;
a second coefficient module, for obtaining a second wear coefficient of each wear part according to the second perspective image;
and the fusion module is used for obtaining the replacement coefficient corresponding to each wear part according to the first wear coefficient, a first visual angle weight coefficient corresponding to the first wear coefficient, the second wear coefficient and a second visual angle weight coefficient corresponding to the second wear coefficient.
Preferably, the first coefficient module includes:
the first binary value generation module is used for carrying out image preprocessing on the first visual angle image to obtain a first binary value image corresponding to the first visual angle image;
the first outline rectangle generating module is used for extracting outlines according to the first binary image to obtain a first calculated abrasion outline rectangle corresponding to the first outline of each abrasion part;
a first calculation module that obtains the first wear coefficient of each of the wear parts based on an area and a length of the first calculation outline rectangle of each of the wear parts.
Preferably, the second coefficient module includes:
the second binary generation module is used for carrying out image preprocessing on the second visual angle image to obtain a second binary image corresponding to the second visual angle image;
the second outline rectangle generating module is used for extracting outlines according to the second binary image to obtain a second calculated abrasion outline rectangle corresponding to the second outline of each abrasion part;
a second calculation module that obtains the second wear coefficient of each of the wear parts based on an area and a length of the second calculation outline rectangle of each of the wear parts.
Preferably, a ratio of the first view weight coefficient to the second view weight coefficient is equal to a ratio of a first depth value corresponding to the first view image and a second depth value corresponding to the second view image.
Preferably, the first depth value is a maximum depth value of each of the wear parts in a first direction;
the second depth value is a maximum of a depth of each of the worn portions in the second direction.
Preferably, the first wear coefficient is a product of an area and a length of the first calculated outline rectangle.
Preferably, the first binary generation module includes:
the first gray level generation module is used for converting the first visual angle image into a first gray level image;
and the first binarization module is used for carrying out binarization on the filtered first gray level image so as to generate the first binary image.
Preferably, the image preprocessing the second perspective image to obtain a second binary image corresponding to the second perspective image includes:
the second gray level generation module is used for converting the second visual angle image into a second gray level image;
and the second binarization module is used for binarizing the filtered second gray level image to generate a second binary image.
The beneficial effects of the above technical scheme are:
the turning tool replacement system can detect the worn parts (pits) on the surface of the turning tool through a plurality of visual angles, obtain the replacement coefficient corresponding to each worn part through the wear coefficient of each worn part at each visual angle, and generate a replacement prompt corresponding to a tested turning tool when the maximum value of the plurality of replacement coefficients is greater than the replacement threshold value, so that the tested turning tool can be automatically replaced in response to the replacement prompt.
Further features and advantages of the invention, as well as the structure and operation of various embodiments of the invention, are described in detail below with reference to the accompanying drawings. It should be noted that the invention is not limited to the specific embodiments described herein. These examples are given herein for illustrative purposes only.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of an implementation scenario of the present invention;
FIG. 2 is a schematic view taken along AA' in FIG. 1;
FIG. 3 is a schematic view of a turning tool replacement system of the present invention;
FIG. 4 is a schematic diagram of a permutation module of the present invention;
FIG. 5 is a schematic diagram of a first coefficient module;
FIG. 6 is a first perspective image;
FIG. 7 is a second perspective image;
FIG. 8 is a schematic diagram of a first binary generation module;
FIG. 9 is a diagram of a second coefficient module;
fig. 10 is a schematic diagram of a second binary generator module.
List of reference numerals:
100 replacement system
101 extraction module
102 replacement module
1021 first coefficient module
10211 first binary value generating Module
102111 first gray scale generation module
102112 first binarization module
10212 first outline rectangle generating module
10213 first calculation Module
1022 second coefficient module
10221 second binary generating module
102211 second grayscale generating module
102212 second binarization module
10222 second outline rectangle generating module
10223 second computing Module
1023 fusion module
103 prompt module
10 implementation scenarios
11 first camera
12 second camera
13 test turning tool
14 first wearing part
15 second wearing part
21 first direction
22 second direction
23 first depth
24 second depth
31 first perspective image
311 first contour
312 first calculated wear profile rectangle
32 second perspective image
321 second contour
322 second calculated wear profile rectangle
The features and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Throughout the drawings, like reference numerals designate corresponding elements. In the drawings, like reference numbers generally indicate identical, functionally similar, and/or structurally similar elements.
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 obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of protection of the present invention.
As used in this application, the terms "first," "second," and the like do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
According to one aspect of the present invention, a turning tool replacement system is provided.
Fig. 1 is a schematic diagram of an implementation scenario of the present invention. Fig. 1 shows an implementation scenario 10 of a turning tool replacement system, fig. 1 showing a test turning tool 12, where a first wear part 14 and a second wear part 15 are present on the surface of the test turning tool 12. The two sides of the test turning tool 12 are respectively provided with a first camera 11 and a second camera 12, the first camera 11 shoots along a first direction 21, the second camera 12 shoots along a second direction 22, a distance measuring device is arranged in the first camera 11, a distance measuring device is also arranged in the second camera 12, and the first camera 11 and the second camera 12 can detect the depth of the first wearing part 14 and the second wearing part 15 along the direction thereof through the distance measuring devices.
FIG. 2 is a schematic view of the cross section along AA' in FIG. 1. As shown in fig. 2, the first camera 11 may measure a first depth 23 of the first wearing part 14 along the first direction 21 with a value of the first depth 23, and the second camera 12 may measure a second depth 24 of the second wearing part 15 along the second direction 22 with a value of the second depth 24. Likewise, the second camera 12 may measure a first depth 23 of the second worn portion 15 along the first direction 21, and the second camera 12 may measure a second depth 24 of the second worn portion 15 along the second direction 22. In practice, the test turning tool 12 surface does not have only two wear portions, but rather a plurality of wear portions, only two being exemplified in this embodiment.
FIG. 3 is a schematic view of a turning tool replacement system of the present invention. The turning tool replacement system 100 shown in fig. 3 is applied to the implementation scenario 10 shown in fig. 2 and 1, and comprises: an extraction module 101, a permutation module 102, and a prompt module 103. The extraction module 101 extracts at least one view image of a test turning tool 12. And a replacement module 102 for obtaining a replacement coefficient of each worn part of the tested surface of the test turning tool 12 according to the view angle image. And the prompt module 103 generates a replacement prompt corresponding to the test turning tool 12 based on that the maximum value of the replacement coefficient is greater than a replacement threshold.
The perspective images include a first perspective image 31 and a second perspective image 32, wherein the first perspective image 31 is obtained by a first image extraction device along the first direction 21, the second perspective image 32 is obtained by a second image extraction device along the second direction 22, and the first direction 21 are symmetrical about a baseline perpendicular to the measured surface. The baseline is the dashed line shown in fig. 2 perpendicular to the surface of the test turning tool 12 and is centered on the corresponding wear portion.
FIG. 4 is a schematic diagram of a permutation module of the present invention. Referring to fig. 4, the permutation module 102 comprises: a first coefficient module 1021, a second coefficient module 1022 and a fusion module 1023. The first coefficient module 1021 obtains a first wear coefficient of each wear portion according to the first perspective image 31. The second coefficient module 1022 obtains a second wear coefficient of each wear part according to the second perspective image 32. The fusion module 1023 obtains a replacement coefficient corresponding to each worn portion according to the first wear coefficient, the first view weighting coefficient corresponding to the first wear coefficient, the second wear coefficient, and the second view weighting coefficient corresponding to the second wear coefficient. The ratio of the first view weight coefficient to the second view weight coefficient is equal to the ratio of the first depth value corresponding to the first view image 31 and the second depth value corresponding to the second view-based image 32. The first depth value is the maximum depth value of each wear part along the first direction 21; the second depth value is the maximum depth per worn section in the second direction 22. For example, if the first depth value is 4 and the second depth value is 5, the first view weight coefficient is 0.4 and the second view weight coefficient is 0.5. The sum of the product of the first abrasion coefficient and the first visual angle weight coefficient and the product of the second abrasion coefficient and the second visual angle weight coefficient is the replacement coefficient. The first wear coefficient is 25 and the second wear coefficient is 12, the replacement coefficient is 16.
FIG. 5 is a diagram of a first coefficient module. Fig. 6 is a first perspective image 31. Fig. 7 is a second perspective image 32. Referring to fig. 5, the first coefficient module 1021 specifically includes a first binary value generation module 10211, a first outline rectangle generation module 10212, and a first calculation module 10213. In the first binary generation module 10211, the first perspective image 31 is pre-processed to obtain a first binary image corresponding to the first perspective image 31. In the first outline rectangle generating module 10212, an outline extraction is performed according to the first binary image to obtain a first calculated abrasion outline rectangle 312 corresponding to the first outline 311 of each abrasion part. The first calculation module 10213 obtains a first wear coefficient of each wear part based on an area and a length of the first calculation outline rectangle of each wear part. Referring to fig. 5 and 6, the first perspective image 31 shown in fig. 6 may be obtained by the first camera 11, the first perspective image 31 is subjected to image preprocessing and image binarization to obtain first outlines 311 of the first worn portion 14 and the second worn portion 15, and a first calculated outline rectangle is obtained from each of the first outlines 311, and fig. 6 is a combination of the first outlines 311 and the first perspective image 31. A first wear coefficient of each wear part can be obtained from the first calculated outline rectangle of the first wear part 14 and the second wear part 15, i.e., the product of the area and the length of the first calculated outline rectangle.
FIG. 8 is a diagram of a first binary generation module. The first binary generation module 10211 includes: a first gray scale generation module 102111 and a first binarization module 102112. The first grayscale generation module 102111 converts the first perspective image 31 into a first grayscale image. Noise interference signals are inevitably introduced into the image input process by the first camera 11 and the second camera 12, any high-frequency interference signals of the image, particularly noise signals appearing at the worn edge part of the turning tool, have serious influence on the subsequent image processing effect, great errors occur in the tool wear detection result, and the final tool wear degree judgment is further influenced. In order to reduce the influence of noise on the tool wear detection system, the first perspective image 31 must be converted into a first gray scale image, which can be filtered and denoised after graying. The first binarization module 102112 binarizes the filtered first grayscale image to generate a first binary image. The binary image means that there are only two gray scales in the image, that is, the gray scale value of any pixel point in the image is 0 or 255, which represents black and white respectively.
FIG. 9 is a diagram of a second coefficient module. Referring to fig. 9, the second coefficient module 1022 specifically includes a second binary generating module 10221, a second outline rectangle generating module 10222, and a second calculating module 10223. In the second binary generation module 10221, the second perspective image 32 is subjected to image preprocessing to obtain a second binary image corresponding to the second perspective image 32. At the second outline rectangle generating module 10222, outline extraction is performed according to the second binary image to obtain a second calculated wear outline rectangle 322 corresponding to the second outline 321 of each wear part. The second calculation module 10223 obtains a second wear coefficient of each wear part based on the area and length of the second calculation outline rectangle of each wear part. Referring to fig. 7 and 9, the second perspective image 32 shown in fig. 1 may be obtained by the second camera 12, the second outline 321 of the first worn portion 14 and the second worn portion 15 is obtained after image preprocessing and image binarization are performed on the second perspective image 32, and a second calculated outline rectangle is obtained from each of the second outlines 321, and fig. 7 is a combination of the second outline 321 and the second perspective image 32. A second wear coefficient of each wear part can be obtained from a second calculated outline rectangle of the first wear part 14 and the second wear part 15, i.e., the product of the area and the length of the second calculated outline rectangle.
Fig. 10 is a schematic diagram of a second binary generator module. The second binary generation module 10221 includes: a second gray level generation module 102211 and a second binarization module 102212. The second grayscale generation module 102211 converts the second perspective image 32 into a second grayscale image. Noise interference signals are inevitably introduced into the image input process by the first camera 11 and the second camera 12, any high-frequency interference signals of the image, particularly noise signals appearing at the worn edge part of the turning tool, have serious influence on the subsequent image processing effect, great errors occur in the tool wear detection result, and the final tool wear degree judgment is further influenced. In order to reduce the influence of noise on the tool wear detection system, the second perspective image 32 must be converted into a second gray scale image, which can be filtered and denoised after graying. The second binarization module 102212 binarizes the filtered second gray scale image to generate a second binary image. The binary image means that there are only two gray levels in the image, that is, the gray value of any pixel in the image is 0 or 255, which represents black and white respectively.
Referring again to fig. 1 and 2, with the above system, it can be obtained that the replacement factor of the first wear part 14 is 20, the replacement factor of the second wear part 15 is 15, the replacement factor of the first wear part 14 is compared to the replacement threshold 19, and the replacement factor of the first wear part 14 is already greater than the replacement threshold, and a replacement indicator corresponding to the test turning tool 12 is generated. The test turning tool 12 is automatically replaced by an automatic change device in response to the replacement prompt.
In summary, the turning tool replacement system of the present invention can detect a wear portion (pit) on the surface of the turning tool through multiple viewing angles, obtain a replacement coefficient corresponding to each wear portion through the wear coefficient of each wear portion at each viewing angle, and generate a replacement indicator corresponding to a tested turning tool when a maximum value of the multiple replacement coefficients is greater than a replacement threshold, so as to automatically replace the tested turning tool in response to the replacement indicator.
The foregoing is a further detailed description of the invention in connection with specific preferred embodiments and it is not intended to limit the invention to the specific embodiments described. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.

Claims (7)

1. A turning tool replacement system, comprising:
the extraction module is used for extracting at least one visual angle image of a test turning tool;
the replacement module is used for obtaining a replacement coefficient of each wear part of the tested surface of the testing turning tool according to the visual angle image;
the prompt module is used for generating a replacement prompt corresponding to the test turning tool based on the fact that the maximum value of the replacement coefficient is larger than a replacement threshold;
the perspective images comprise a first perspective image and a second perspective image, wherein the first perspective image is obtained by a first image extraction device along a first direction, the second perspective image is obtained by a second image extraction device along a second direction, and the first direction are symmetrical about a base line which is perpendicular to the measured surface;
the permutation module comprises:
a first coefficient module, for obtaining a first wear coefficient of each wear part according to the first perspective image;
a second coefficient module, for obtaining a second wear coefficient of each wear part according to the second perspective image;
a fusion module, configured to obtain the replacement coefficient corresponding to each of the wear portions according to the first wear coefficient, a first view weighting coefficient corresponding to the first wear coefficient, the second wear coefficient, and a second view weighting coefficient corresponding to the second wear coefficient;
a ratio of the first view weight coefficient to a second view weight coefficient is equal to a ratio of a first depth value corresponding to the first view image and a second depth value corresponding based on the second view image.
2. The turning tool replacement system of claim 1, wherein the first coefficient module comprises:
the first binary generation module is used for carrying out image preprocessing on the first view angle image to obtain a first binary image corresponding to the first view angle image;
the first outline rectangle generating module is used for extracting outlines according to the first binary image to obtain a first calculated abrasion outline rectangle corresponding to the first outline of each abrasion part;
the first calculation module is used for obtaining the first wear coefficient of each wear part based on the area and the length of the first calculation outline rectangle of each wear part.
3. The turning tool replacement system of claim 1, wherein the second coefficient module comprises:
the second binary generation module is used for carrying out image preprocessing on the second visual angle image to obtain a second binary image corresponding to the second visual angle image;
the second outline rectangle generating module is used for extracting outlines according to the second binary image to obtain a second calculated abrasion outline rectangle corresponding to the second outline of each abrasion part;
and the second calculation module is used for obtaining the second wear coefficient of each wear part based on the area and the length of the second calculation outline rectangle of each wear part.
4. The turning tool replacement system of claim 1 wherein the first depth value is a maximum depth value of each of the wear portions in a first direction;
the second depth value is a maximum of a depth of each of the worn portions in the second direction.
5. The turning tool replacement system of claim 2, wherein the first wear coefficient is a product of an area and a length of the first calculated outline rectangle.
6. The turning tool replacement system of claim 2 wherein the first binary generation module comprises:
the first gray level generation module is used for converting the first visual angle image into a first gray level image;
and the first binarization module is used for carrying out binarization on the filtered first gray level image so as to generate the first binary image.
7. The turning tool replacement system of claim 3, wherein the image preprocessing the second perspective image to obtain a second binary image corresponding to the second perspective image comprises:
the second gray level generation module is used for converting the second visual angle image into a second gray level image;
and the second binarization module is used for binarizing the filtered second gray level image to generate a second binary image.
CN202011237361.XA 2020-11-09 2020-11-09 Turning cutter replacement system Active CN112388390B (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60263651A (en) * 1984-06-12 1985-12-27 Hitachi Seiko Ltd Detecting device of break in tool
TWI593503B (en) * 2016-12-26 2017-08-01 Tool image measurement methods
CN108527004A (en) * 2018-03-29 2018-09-14 蚌埠市金洋机床有限责任公司 A kind of cutting tool for CNC machine breakage detection system
CN109108730A (en) * 2018-06-01 2019-01-01 深圳精匠云创科技有限公司 Detection system, detection method and storage equipment
CN109500657B (en) * 2018-11-14 2020-07-10 华中科技大学 Vision-based broken cutter detection method and system
CN111300144B (en) * 2019-11-25 2022-11-04 上海大学 Automatic detection method for tool wear state based on image processing
CN111571308A (en) * 2020-05-19 2020-08-25 哈尔滨理工大学 On-machine detection device and method for cutter abrasion

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