CN112945704A - Brinell hardness online detection system for intelligent factory - Google Patents
Brinell hardness online detection system for intelligent factory Download PDFInfo
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- CN112945704A CN112945704A CN202110280113.1A CN202110280113A CN112945704A CN 112945704 A CN112945704 A CN 112945704A CN 202110280113 A CN202110280113 A CN 202110280113A CN 112945704 A CN112945704 A CN 112945704A
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- 238000001514 detection method Methods 0.000 title claims abstract description 16
- 238000007373 indentation Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000000605 extraction Methods 0.000 claims abstract description 7
- 238000001914 filtration Methods 0.000 claims abstract description 6
- 238000012360 testing method Methods 0.000 claims description 16
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000005259 measurement Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000007542 hardness measurement Methods 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 238000003908 quality control method Methods 0.000 description 2
- 238000007546 Brinell hardness test Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003708 edge detection Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/02—Details
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/02—Details
- G01N3/06—Special adaptations of indicating or recording means
- G01N3/068—Special adaptations of indicating or recording means with optical indicating or recording means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/40—Investigating hardness or rebound hardness
- G01N3/42—Investigating hardness or rebound hardness by performing impressions under a steady load by indentors, e.g. sphere, pyramid
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- Life Sciences & Earth Sciences (AREA)
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- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
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- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses a Brinell hardness online detection system for an intelligent factory, which comprises an image acquisition system, an image processing system and an MES/ERP system; the image acquisition system comprises a light source, a lens, an industrial camera, a lens barrel and a workpiece, wherein the light source adopts a coaxial light source and is arranged between the lens and the workpiece to be detected, and the industrial camera is arranged at the rear part of the lens. The invention has the beneficial effects that: the whole system consists of image acquisition of hardness indentation, computer image processing and MES/ERP system work reporting record. The image acquisition part acquires an image of the hardness indentation through a coaxial light source, a telecentric lens and an industrial camera, the image is transmitted to a computer system through one mode of USB or WIFI, the computer system performs image filtering denoising, contour extraction and contour circle fitting to obtain an accurate indentation size, and therefore the hardness value is obtained. The hardness value data is directly recorded by an MES/ERP system connected with a factory, so that the hardness detection is completed, and the quality quantity is provided in real time.
Description
Technical Field
The invention relates to a detection system, in particular to an on-line Brinell hardness detection system for an intelligent factory, and belongs to the technical field of hardness detection.
Background
After the metal workpiece is subjected to heat treatment, the hardness is a mechanical index reflecting the local deformation resistance of the metal workpiece, a Brinell hardness test method is used as a common hardness detection mode, the Brinell hardness measurement in the traditional mode is realized by manually reading a hardness indentation, and the hardness value is obtained by searching a hardness comparison table after the diameters in two directions are read out, so that the measurement efficiency is low, and the manual error is large. With the improvement of the technical level of image acquisition and image processing, the dimensional measurement of Brinell hardness indentation by using an image measurement technology becomes possible, and the measurement efficiency and precision can be ensured.
The hardness test is used as an important part of product quality control, and the hardness test result needs to be accurately and effectively recorded in a factory MES/ERP system in the production process of factory products and used as a basis for subsequent processes and product quality control, so that the real-time acquisition of the hardness test result is also important.
Disclosure of Invention
The invention aims to provide an on-line Brinell hardness detection system for an intelligent factory, which aims to solve the problems in the background technology.
The invention achieves the aim through the following technical scheme, and the Brinell hardness online detection system for the intelligent factory comprises an image acquisition system, an image processing system and an MES/ERP system;
the image acquisition system comprises a light source, a lens, an industrial camera, a lens barrel and a workpiece, wherein the light source adopts a coaxial light source and is arranged between the lens and the workpiece to be detected, and the industrial camera is arranged at the rear part of the lens.
Preferably, the lens is a telecentric lens.
Preferably, the industrial camera is signally connected to an external computer system.
Preferably, after the image is collected, the image is subjected to filtering denoising, edge contour extraction and contour circle fitting, the diameter of the fitted circle is used as the diameter of an indentation to be calculated to obtain a measured hardness value, and the error between the measured hardness value and the standard hardness value is less than 1% when a standard test block is used.
Preferably, the MES/ERP system is connected to an image processing computer, and the image processing computer is connected to the MES system via a B/S or C/S model.
Preferably, the MES system has work order information, hardness test position and quantity information of the tested workpiece, the tested hardness value is directly stored in the MES system, the system determines whether the hardness meets the requirement according to the required hardness range, and the next step is carried out after the hardness is automatically judged to be qualified.
The invention has the beneficial effects that: the whole system consists of image acquisition of hardness indentation, computer image processing and MES/ERP system reporting record. The image acquisition part acquires an image of the hardness indentation through a coaxial light source, a telecentric lens and an industrial camera, the image is transmitted to a computer system through one mode of USB or WIFI, the computer system performs image filtering denoising, contour extraction and contour circle fitting to obtain an accurate indentation size, and therefore the hardness value is obtained. The hardness value data is directly recorded by an MES/ERP system connected with a factory, so that the hardness detection is completed, and the quality quantity is provided in real time.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic structural view of an image capturing section of the present invention.
In the figure: 1. a light source; 2. a lens; 3. an industrial camera; 4. a lens barrel; 5. and (5) a workpiece.
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. 1-2, an on-line brinell hardness testing system for an intelligent factory comprises an image acquisition system, an image processing system and an MES/ERP system;
the image acquisition system comprises a light source 1, a lens 2, an industrial camera 3, a lens barrel 4 and a workpiece 5, wherein the light source 1 adopts a coaxial light source and is arranged between the lens 2 and the workpiece 5 to be detected, and the industrial camera 3 is arranged at the rear part of the lens 2.
The lens 2 adopts a telecentric lens, the industrial camera 3 is in signal connection with an external computer system, after an image is collected, the image is subjected to filtering and denoising, edge contour extraction and contour circle fitting, the fitted circle diameter is used as an indentation diameter to be calculated to obtain a measured hardness value, when a standard test block is used, the error between the measured hardness value and the standard hardness value is less than 1%, the MES/ERP system is connected with the image processing computer, the image processing computer is connected with the MES system through a B/S or C/S mode, the MES system has work order information of a workpiece to be measured, hardness test position and quantity information, the measured hardness value is directly stored into the MES system, the system determines whether the hardness meets the requirement according to the required hardness range, and the next step is carried out after whether the hardness.
The working principle of the invention is as follows: the hardness indentation image acquisition part comprises a light source 1, a lens 2, an industrial camera 3 and a lens barrel 4. According to the characteristics of the Brinell hardness indentation test point, the surface of the workpiece 5 is polished before the hardness test, the surface is smooth, the hardness indentation is a concave hemisphere, a coaxial light source is adopted as a light source, the indentation boundary can be clearly displayed, and the light source is arranged between a lens and the indentation of the workpiece to be tested. The lens 2 adopts a telecentric lens, the rear part of the lens 2 is connected with an industrial camera, and according to the size and the precision requirement of the measured hardness indentation, the proper resolution and the sensor size of the industrial camera 3, the working distance, the view field diameter and the multiplying power of the telecentric lens can be selected. The industrial camera 3 is connected with the computer system by one of USB or WIFI.
The computer image processing part is analysis software in a computer system and is used for carrying out filtering and denoising, edge contour extraction and contour circle fitting on the acquired image. The extraction of the edge contour can adopt OpenCV to carry out Canny edge detection method, and the fitting of the contour circle can adopt least square method. And calculating the fitted circle diameter as the indentation diameter to obtain a measured hardness value, wherein the measured hardness value can be compared with the standard hardness value when a standard test block is used for determining the accuracy of the system, and the accuracy of the system can meet the requirement that the error is less than 1%.
The image processing computer is connected with the MES/ERP system of the factory, and adopts a B/S or C/S mode according to the characteristics of the MES system of the factory. The MES system has the work order information, the hardness test position and the quantity information of the tested workpiece, when the hardness test is started, the system selects the corresponding test position, after the test, the hardness value is directly stored in the MES system, the system determines whether the hardness meets the requirement according to the required hardness range, and the next step is carried out after the system automatically judges whether the hardness is qualified.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "disposed," "mounted," "connected," and "secured" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integral to; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The standard parts used by the invention can be purchased from the market, and the special-shaped parts can be customized according to the description and the description of the attached drawings.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The utility model provides an online detecting system of brinell hardness for intelligent mill which characterized in that: the system comprises an image acquisition system, an image processing system and an MES/ERP system;
the image acquisition system comprises a light source (1), a lens (2), an industrial camera (3), a lens barrel (4) and a workpiece (5), wherein the light source (1) adopts a coaxial light source and is arranged between the lens (2) and the workpiece (5) to be measured, and the industrial camera (3) is arranged at the rear part of the lens (2).
2. The on-line Brinell hardness detection system for the intelligent factory according to claim 1, wherein: the lens (2) adopts a telecentric lens.
3. The on-line Brinell hardness detection system for the intelligent factory according to claim 1, wherein: the industrial camera (3) is connected with an external computer system through signals.
4. The on-line Brinell hardness detection system for the intelligent factory according to claim 1, wherein: after the image is collected, the image is subjected to filtering denoising, edge contour extraction and contour circle fitting, the fitted circle diameter is used as the indentation diameter to be calculated to obtain a measured hardness value, and the error between the measured hardness value and the standard hardness value is less than 1% when a standard test block is used.
5. The on-line Brinell hardness detection system for the intelligent factory according to claim 1, wherein: the MES/ERP system is connected with the image processing computer, and the image processing computer is connected with the MES system through a B/S or C/S mode.
6. The on-line Brinell hardness detection system for the intelligent factory according to claim 1, wherein: the MES system has work order information, hardness test position and quantity information of the tested workpiece, the tested hardness value is directly stored in the MES system, the system determines whether the hardness meets the requirement according to the required hardness range, and the next step is carried out after the hardness is automatically judged to be qualified.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110280113.1A CN112945704A (en) | 2021-03-16 | 2021-03-16 | Brinell hardness online detection system for intelligent factory |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110280113.1A CN112945704A (en) | 2021-03-16 | 2021-03-16 | Brinell hardness online detection system for intelligent factory |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113436214A (en) * | 2021-06-28 | 2021-09-24 | 山东大学 | Brinell hardness indentation circle measuring method and system and computer readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101839832A (en) * | 2009-03-19 | 2010-09-22 | 鸿富锦精密工业（深圳）有限公司 | Vickers hardness test system and method |
| CN102914479A (en) * | 2012-08-14 | 2013-02-06 | 北京信息科技大学 | Automatic Brinell hardness testing method |
| CN207540491U (en) * | 2017-12-15 | 2018-06-26 | 南京鑫业诚机器人科技有限公司 | The optical texture that a kind of large scale product quickly detects |
| CN108562487A (en) * | 2018-03-23 | 2018-09-21 | 西北工业大学 | Block of hardness impression diameter measurement method and device |
-
2021
- 2021-03-16 CN CN202110280113.1A patent/CN112945704A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101839832A (en) * | 2009-03-19 | 2010-09-22 | 鸿富锦精密工业（深圳）有限公司 | Vickers hardness test system and method |
| CN102914479A (en) * | 2012-08-14 | 2013-02-06 | 北京信息科技大学 | Automatic Brinell hardness testing method |
| CN207540491U (en) * | 2017-12-15 | 2018-06-26 | 南京鑫业诚机器人科技有限公司 | The optical texture that a kind of large scale product quickly detects |
| CN108562487A (en) * | 2018-03-23 | 2018-09-21 | 西北工业大学 | Block of hardness impression diameter measurement method and device |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113436214A (en) * | 2021-06-28 | 2021-09-24 | 山东大学 | Brinell hardness indentation circle measuring method and system and computer readable storage medium |
| CN113436214B (en) * | 2021-06-28 | 2022-08-23 | 山东大学 | Brinell hardness indentation circle measuring method and system and computer readable storage medium |
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