CN114608405A - Integrated detection method for automobile part contour and hole position - Google Patents
Integrated detection method for automobile part contour and hole position Download PDFInfo
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- CN114608405A CN114608405A CN202210292407.0A CN202210292407A CN114608405A CN 114608405 A CN114608405 A CN 114608405A CN 202210292407 A CN202210292407 A CN 202210292407A CN 114608405 A CN114608405 A CN 114608405A
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- 238000001514 detection method Methods 0.000 title claims abstract description 26
- 238000000034 method Methods 0.000 claims description 20
- 238000010606 normalization Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000009499 grossing Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 abstract description 3
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- 238000004519 manufacturing process Methods 0.000 abstract description 3
- 238000011161 development Methods 0.000 description 4
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- 238000007689 inspection Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B5/00—Measuring arrangements characterised by the use of mechanical techniques
- G01B5/0025—Measuring of vehicle parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B5/00—Measuring arrangements characterised by the use of mechanical techniques
- G01B5/08—Measuring arrangements characterised by the use of mechanical techniques for measuring diameters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B5/00—Measuring arrangements characterised by the use of mechanical techniques
- G01B5/28—Measuring arrangements characterised by the use of mechanical techniques for measuring roughness or irregularity of surfaces
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- Length Measuring Devices By Optical Means (AREA)
Abstract
The invention discloses an integrated detection method for the outline and hole position of an automobile part, which comprises the following steps: s1: fixing a product to be detected on a detection tool; s2: respectively plugging a hole by using a go gauge and a no-go gauge detected by the hole, wherein the go gauge can be plugged in and the no-go gauge cannot be plugged in, and the size of the hole is qualified; s3: the block gauge is placed on the surface of the qualified product detected in the step S2, a feeler with the flatness of 0.5 is used for detection, the flatness of the product which can be plugged by the feeler is unqualified, and the flatness of the product which can not be plugged by the feeler is qualified; s4: acquiring a contour picture of the product in the S3 by using the camera; s5: carrying out digital conversion on the outline picture of the product to obtain a digital image; s6: and comparing the digitized image with the standard image to obtain a qualified or unqualified result. The invention can solve the problems of poor detection effect, long time and influence on production efficiency of the automobile part contour and the hole position.
Description
Technical Field
The invention relates to a detection method, in particular to an integrated detection method for the outline and the hole position of an automobile part.
Background
The development of the domestic automobile warranty equipment industry is very rapid in recent years, and a plurality of industry leaders are gradually formed. Some knowledgeable persons put the development of enterprises and industries into foreign markets and develop overseas services in a mode of an agent or a self-built representative, and the trend accords with the current status of China in the world economic pattern and is a main growth mode for the rapid development of the automobile protection equipment industry in the future.
With the vigorous development of the Chinese automobile market. At present, a plurality of factories for producing automobile parts need to detect the overall appearance, the size and the position of a hole after the automobile parts are produced, but the existing automobile part has poor detection effect on the outline and the hole, the time is long, and the production efficiency is influenced.
Disclosure of Invention
The invention aims to: the method for integrally detecting the automobile part contour and the hole position aims to solve the problems that the detection effect of the automobile part contour and the hole is poor, the time is long, and the production efficiency is affected.
In order to achieve the aim, the invention provides an integrated detection method for the contour and the hole position of an automobile part, which comprises the following steps:
s1: fixing a product to be detected on a detection tool;
s2: respectively plugging a hole by using a go gauge and a no-go gauge detected by the hole, wherein the go gauge can be plugged in and the no-go gauge cannot be plugged in, and the size of the hole is qualified;
s3: the block gauge is placed on the surface of the qualified product detected in the step S2, a feeler with the flatness of 0.5 is used for detection, the flatness of the product which can be plugged by the feeler is unqualified, and the flatness of the product which can not be plugged by the feeler is qualified;
s4: acquiring a contour picture of the product in the S3 by using the camera;
s5: carrying out digital conversion on the outline picture of the product to obtain a digital image;
s6: and comparing the digitized image with the standard image to obtain a qualified or unqualified result.
In step S6, the digitalized image is processed by adopting computer aided design software AutoCAD, a product cloud picture is created by adopting a point command, coordinates are marked on the product cloud picture, the marked coordinates are compared with standard coordinates, and a qualified or unqualified result is obtained by comparison.
As a further description of the above technical solution:
the coordinates of the product cloud picture take the geometric center point of the product cloud picture as the origin of coordinates.
As a further description of the above technical solution:
the silhouette picture of the product in step S3 is processed by gaussian smoothing filtering to suppress unwanted distortion and enhance image features.
As a further description of the above technical solution:
in step S5, the contour photograph of the product is subjected to digital processing such as image normalization, image binarization, and image contour extraction.
As a further description of the above technical solution:
the operation method of image normalization and image binarization is a White and Rohrer dynamic threshold algorithm and an iterative method.
As a further description of the above technical solution:
the detection environment in step S1 is a dust-free environment.
As a further description of the above technical solution:
before step S1, the appearance of the product is detected, and the product with a serious deformation is removed.
As a further description of the above technical solution:
in step S2, the go gauge and the no-go gauge are checked.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: the method comprises the steps of firstly rejecting products which are seriously deformed by naked eyes, detecting the sizes of holes through a go gauge and a no-go gauge, rejecting unqualified products, picking out the products with unqualified flatness by using a block gauge and a plug ruler, and finally detecting the products by using an image comparison method.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of an integrated detection method for the contour and hole position of an automobile part.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the embodiments of the present invention, it should be noted that the terms "upper", "inner", and the like refer to orientations or positional relationships based on the orientations or positional relationships shown in the drawings or orientations or positional relationships that are conventionally arranged when the products of the present invention are used, and are used only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, the present invention provides an integrated detection method for an automobile part contour and a hole position, comprising the following steps:
s1: fixing a product to be detected on a detection tool;
s2: respectively plugging a hole by using a go gauge and a no-go gauge detected by the hole, wherein the go gauge can be plugged in and the no-go gauge cannot be plugged in, and the size of the hole is qualified;
s3: the block gauge is placed on the surface of the qualified product detected in the step S2, a feeler with the flatness of 0.5 is used for detection, the flatness of the product which can be plugged by the feeler is unqualified, and the flatness of the product which can not be plugged by the feeler is qualified;
s4: acquiring a contour picture of the product in the S3 by using the camera;
s5: carrying out digital conversion on the outline picture of the product to obtain a digital image;
s6: and comparing the digitized image with the standard image to obtain a qualified or unqualified result.
As a further description of the above technical solution:
in step S6, the digital image is processed by computer aided design software AutoCAD, a product cloud point map is created by using a point command, coordinates are labeled on the product cloud point map, the labeled coordinates are compared with standard coordinates, and a qualified or unqualified result is obtained by comparison. Therefore, coordinate information of the product outline and the hole can be obtained simultaneously, comparison with a standard coordinate obtained by creating a product point cloud picture of the standard image is facilitated, the difference value of the marked coordinate and the standard coordinate is within an error range, the product is qualified, and otherwise, the product is unqualified.
As a further description of the above technical solution:
the coordinates of the product cloud picture take the geometric center point of the product cloud picture as the origin of coordinates. The distance from the hole to the origin of coordinates is convenient to calculate, so that the distance from the hole to the origin of coordinates can be compared to detect again, the purpose of improving the detection quality is achieved, and the calculation difficulty can be reduced.
The silhouette picture of the product in step S3 is processed by gaussian smoothing filtering to suppress unwanted distortion and enhance image features. This can improve the quality of the image and thus the detection quality.
In step S5, the outline photograph of the product is subjected to digital processing such as image normalization, image binarization, and image outline extraction. The operation method of image normalization and image binarization is a White and Rohrer dynamic threshold algorithm and an iterative method. The purpose of the product outline photograph normalization is to solve the problems that the contrast of an acquired photograph is poor and the gray scale range is inconsistent due to the influence of external environment light in the process of photographing the product outline photograph. In order to adjust the statistical characteristic indexes such as average gray scale, variance, contrast and the like of different photographs to a uniform range and make different balloon images have the same gray scale mean value and variance, mathematical transformation, namely image normalization, needs to be performed on the source balloon images. And judging whether the outline size of the product is qualified according to the given similarity, if so, giving an OK mark, and otherwise, giving an NG mark.
The detection environment in step S1 is a dust-free environment. The external influence can be reduced.
Before step S1, the appearance of the product is detected, and the product with a serious deformation is removed. The subsequent workload can be reduced.
The go gauge and the no-go gauge are checked in step S2. The influence on the normal inspection of the product caused by the error of the go gauge and the no-go gauge can be reduced.
The working principle is as follows: the method comprises the steps of firstly rejecting products which are seriously deformed by naked eyes, detecting the sizes of holes through a go gauge and a no-go gauge, rejecting unqualified products, picking out the products with unqualified flatness by using a block gauge and a plug ruler, and finally detecting the products by using an image comparison method.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. An integrated detection method for the outline and the hole position of an automobile part is characterized by comprising the following steps:
s1: fixing a product to be detected on a detection tool;
s2: respectively plugging a hole by using a go gauge and a no-go gauge detected by the hole, wherein the go gauge can be plugged in and the no-go gauge cannot be plugged in, and the size of the hole is qualified;
s3: the block gauge is placed on the surface of the qualified product detected in the step S2, a feeler with the flatness of 0.5 is used for detection, the flatness of the product which can be plugged by the feeler is unqualified, and the flatness of the product which can not be plugged by the feeler is qualified;
s4: acquiring a contour picture of the product in S3 by using a camera;
s5: digitally converting the outline picture of the product to obtain a digitized image;
s6: and comparing the digitized image with the standard image to obtain a qualified or unqualified result.
2. The method as claimed in claim 1, wherein in step S6, the digital image is processed by computer aided design software AutoCAD, the product cloud point map is created by point command, the product cloud point map is labeled with coordinates, the labeled coordinates are compared with standard coordinates, and the result is qualified or unqualified.
3. The integrated detection method for the profile and the hole position of the automobile part as claimed in claim 2, wherein the coordinates of the product cloud are based on the geometric center point of the product cloud as the origin of coordinates.
4. The method as claimed in claim 1, wherein the step S3 is performed by using gaussian smoothing filtering to process noise and distortion contained in the image signal, and to suppress unwanted distortion and enhance image characteristics.
5. The method for integrally detecting the profile and the hole position of the automobile part as claimed in claim 1, wherein the digital processing procedures of image normalization, image binarization and image profile extraction are performed on the profile photo of the product in step S5.
6. The integrated detection method for the contour and the hole position of the automobile part as claimed in claim 1, wherein the operation methods of image normalization and image binarization are White and Rohrer dynamic threshold algorithm and iteration method.
7. The integrated detecting method for the contour and hole position of automobile parts as claimed in claim 1, wherein the detecting environment in step S1 is a dust-free environment.
8. The method as claimed in claim 1, wherein the step of detecting the appearance of the product is performed before step S1, and the product with serious deformation is removed.
9. The method of claim 1, wherein the step S2 is performed to check the go gauge and the no-go gauge.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210292407.0A CN114608405A (en) | 2022-03-23 | 2022-03-23 | Integrated detection method for automobile part contour and hole position |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210292407.0A CN114608405A (en) | 2022-03-23 | 2022-03-23 | Integrated detection method for automobile part contour and hole position |
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| CN114608405A true CN114608405A (en) | 2022-06-10 |
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| CN202210292407.0A Pending CN114608405A (en) | 2022-03-23 | 2022-03-23 | Integrated detection method for automobile part contour and hole position |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116989706A (en) * | 2023-09-27 | 2023-11-03 | 靖江市明拓科技有限公司 | Flatness detection device for automobile stamping part |
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| US20040095585A1 (en) * | 2002-11-18 | 2004-05-20 | Kambiz Nayebi | Wheel profile inspection apparatus and method |
| CN207832743U (en) * | 2018-02-12 | 2018-09-07 | 天津市广达现代机械制造有限公司 | It is detecting device integrated that one kind being fixedly mounted with nut |
| CN212458187U (en) * | 2020-07-03 | 2021-02-02 | 湖北中烟工业有限责任公司 | Filter stick length measuring device |
| CN213120386U (en) * | 2020-06-27 | 2021-05-04 | 苏州佰奇金属制品有限公司 | High-precision high-efficiency automobile part detection tool |
| CN214582966U (en) * | 2021-05-15 | 2021-11-02 | 宁波朗成智能科技有限公司 | Nut detection machine |
| CN113847881A (en) * | 2021-01-06 | 2021-12-28 | 西华大学 | Free-form surface profile tolerance detection method based on machine vision |
-
2022
- 2022-03-23 CN CN202210292407.0A patent/CN114608405A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040095585A1 (en) * | 2002-11-18 | 2004-05-20 | Kambiz Nayebi | Wheel profile inspection apparatus and method |
| CN207832743U (en) * | 2018-02-12 | 2018-09-07 | 天津市广达现代机械制造有限公司 | It is detecting device integrated that one kind being fixedly mounted with nut |
| CN213120386U (en) * | 2020-06-27 | 2021-05-04 | 苏州佰奇金属制品有限公司 | High-precision high-efficiency automobile part detection tool |
| CN212458187U (en) * | 2020-07-03 | 2021-02-02 | 湖北中烟工业有限责任公司 | Filter stick length measuring device |
| CN113847881A (en) * | 2021-01-06 | 2021-12-28 | 西华大学 | Free-form surface profile tolerance detection method based on machine vision |
| CN214582966U (en) * | 2021-05-15 | 2021-11-02 | 宁波朗成智能科技有限公司 | Nut detection machine |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116989706A (en) * | 2023-09-27 | 2023-11-03 | 靖江市明拓科技有限公司 | Flatness detection device for automobile stamping part |
| CN116989706B (en) * | 2023-09-27 | 2023-12-15 | 靖江市明拓科技有限公司 | Flatness detection device for automobile stamping part |
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