CN116625271A - Mobile phone middle frame non-contact z-direction detection method - Google Patents
Mobile phone middle frame non-contact z-direction detection method Download PDFInfo
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- CN116625271A CN116625271A CN202310576182.6A CN202310576182A CN116625271A CN 116625271 A CN116625271 A CN 116625271A CN 202310576182 A CN202310576182 A CN 202310576182A CN 116625271 A CN116625271 A CN 116625271A
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- 238000001514 detection method Methods 0.000 title claims abstract description 41
- 238000005094 computer simulation Methods 0.000 claims abstract description 9
- 238000001914 filtration Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000002950 deficient Effects 0.000 description 2
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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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
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Abstract
The invention discloses a non-contact z-direction detection method of a mobile phone middle frame, which comprises a profiling jig and a 3D laser measuring instrument arranged below the profiling jig, wherein the detection steps comprise S1: the 3D laser measuring instrument emits line laser, the line laser converts the size data into point position data, and the point position data comprises line laser line width data, line laser line distance data, point position line number data and point position line number data which are obtained after scanning; 2:3D laser measuring instrument scans the jig and the product, and obtains preliminary data; s3, eliminating interference factors by a filtering module and acquiring processing data; s4: processing data to fit a plane to a product, wherein the fit plane comprises lower plane data and outer wall plane data of the product; s5: and performing simulation modeling through the lower plane data to obtain fitting lower plane data of the product. And (3) performing simulated 2D modeling or 3D modeling on the lower plane data and the outer wall plane data, and comparing the modeling with standard data, so that detection of products is realized.
Description
Technical Field
The invention relates to the field of middle frame detection methods, in particular to a non-contact z-direction detection method for a middle frame of a mobile phone.
Background
The middle frame of the mobile phone is a three-dimensional multi-dimensional structure, the firmness of the mobile phone and the bearing function on hardware are related, and the stability of the structure is one of key factors of whether the mobile phone is anti-falling.
However, the traditional feeler gauge measures the out-of-plane deformation of the product by placing the product on a platform and measuring gaps between four corners of the product and the platform by using the feeler gauge. However, this detection method is generally a spot check, and therefore has a problem of missing detection, and at the same time, there is generally a manual error in the detection of the feeler gauge, and it is impossible to precisely detect the detection in time.
Of course, there is also a method of adopting electric detection quantity, in which the product is placed on the lower die jig of electric detection during detection, and the upper die jig is pressed down to the lower die jig; the upper die and the lower die have fixed intervals, if the inner cavity of the product is convex or concave upwards, the inner cavity of the product is contacted with the upper die jig or the lower die jig, so that the NG of the product is judged, and the traditional method is to detect the concave-convex of the product through physical contact, so that the detection efficiency is slower.
Disclosure of Invention
The invention mainly aims to provide a non-contact z-direction detection method for a mobile phone middle frame, which aims to realize precise detection for the mobile phone middle frame by adopting the non-contact detection method.
In order to achieve the above-mentioned object, the present invention provides a non-contact z-direction detection method for a mobile phone center, which comprises a profiling fixture and a 3D laser measuring instrument disposed below the profiling fixture,
the detection step comprises the following steps:
s1: the 3D laser measuring instrument emits line laser, the line laser converts the size data into point position data, and the point position data comprises line laser line width data, line laser line distance data, point position line number data and point position line number data which are obtained after scanning;
s2, scanning a jig and a product by the 3D laser measuring instrument, and acquiring preliminary data;
s3, eliminating interference factors by a filtering module and acquiring processing data;
s4: processing data to fit a plane to a product, wherein the fit plane comprises lower plane data and outer wall plane data of the product;
s5: performing simulation modeling through the lower plane data to obtain fitting lower plane data of the product;
s6: comparing the fitting lower plane data with the standard lower plane data, and judging whether the fitting lower plane data accords with a preset threshold value or not;
s7, performing simulation modeling through outer wall plane data to obtain fitting outer wall plane data of the lower wall of the outer contour of the product;
s8: fitting the outer wall plane data, comparing the outer wall plane data with the standard outer wall plane data, and judging whether the outer wall plane data accords with a preset threshold value or not;
s9: and fitting the lower plane data and the standard outer wall plane data, and judging whether the product meets a preset value or not.
The technical scheme of the invention has the beneficial effects that:
1. when a product is placed in the jig, the contour data of the product and the concave-convex data of the bottom wall are obtained through the contact point and the contact distance between the line laser and the product, so that the measurement of the related data of the product is realized, the acquisition of the related data of the product is realized under the non-contact condition, and the detection method is stable;
2. simulating 2D modeling or 3D modeling is carried out on the lower plane data and the outer wall plane data, and the product detection is realized through comparison of modeling and standard data;
3. the modeling mode of the detection method is a replicable and learnable model, and the detection method is simple and stable.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention;
FIG. 2 is a method of measuring the concave-convex of the lower plane of the product in S5;
fig. 3 is a method of measuring deformation of the outer wall plane in S7.
In the figure, 100 is a profiling jig, 200 is a product, 300 is a 3D laser measuring instrument, and 301 is a line laser.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. 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.
It should be noted that, in the embodiment of the present invention, directional indications (such as up, down, left, right, front, rear, top, bottom, inner, outer, vertical, lateral, longitudinal, counterclockwise, clockwise, circumferential, radial, axial … …) are referred to, and the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.
In addition, if there is a description of "first" or "second" etc. in the embodiments of the present invention, the description of "first" or "second" etc. is only for descriptive purposes, and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
As shown in fig. 1 to 3, a non-contact z-direction detection method for a mobile phone middle frame comprises a profiling jig and a 3D laser measuring instrument arranged below the profiling jig,
the detection step comprises the following steps:
s1: the 3D laser measuring instrument emits line laser, the line laser converts the size data into point position data, and the point position data comprises line laser line width data, line laser line distance data, point position line number data and point position line number data which are obtained after scanning;
s2, scanning a jig and a product by the 3D laser measuring instrument, and acquiring preliminary data;
s3, eliminating interference factors by a filtering module and acquiring processing data;
s4: processing data to fit a plane to a product, wherein the fit plane comprises lower plane data and outer wall plane data of the product;
s5: performing simulation modeling through the lower plane data to obtain fitting lower plane data of the product;
s6: comparing the fitting lower plane data with the standard lower plane data, and judging whether the fitting lower plane data accords with a preset threshold value or not;
s7, performing simulation modeling through outer wall plane data to obtain fitting outer wall plane data of the lower wall of the outer contour of the product;
s8: fitting the outer wall plane data, comparing the outer wall plane data with the standard outer wall plane data, and judging whether the outer wall plane data accords with a preset threshold value or not;
s9: and fitting the lower plane data and the standard outer wall plane data, and judging whether the product meets a preset value or not.
1. When a product is placed in the jig, the contour data of the product and the concave-convex data of the bottom wall are obtained through the contact point and the contact distance between the line laser and the product, so that the measurement of the related data of the product is realized, the acquisition of the related data of the product is realized under the non-contact condition, and the detection method is stable;
2. simulating 2D modeling or 3D modeling is carried out on the lower plane data and the outer wall plane data, and the product detection is realized through comparison of modeling and standard data;
3. the modeling mode of the detection method is a replicable and learnable model, and the detection method is simple and stable.
Specifically, the fitting lower plane data in S5 includes:
s501: combining line width data, line laser line distance data, point position line number data and point position line number data obtained after scanning into point cloud data, and performing concave-convex calculation;
s502, fitting a lower plane by using a least square method;
s503, obtaining lower flatness and a lower plane normal vector;
s504, the planes of different heights in the lower plane need to be combined (because the lower plane is not a single horizontal plane, the heights of the different horizontal planes are combined, and of course, the height of the lower plane may be n+1), including:
s505, calculating the maximum distance d1 between all the point cloud data in the detection area and the inner plane:
s506: calculating distances d2 from all point cloud data in the detection area to a reference plane (wherein the reference plane is a predetermined value when a standard product is placed on a jig):
s507: the roughness of the product is determined based on the distance d1+d2.
In an embodiment of the present invention, the fitting lower plane data in S7 includes:
s701: combining line laser line width data, line laser line distance data, point position line number data and point position line number data obtained after scanning into point cloud data, and carrying out product outer wall plane deformation calculation;
s702: acquiring four-angle fitting point cloud data of a product;
s703: selecting the maximum height of each angle fitting point;
s704: three fitting point fitting datum planes are selected from the four datum points:
s705: calculating the distance d3 from the point other than the fitting reference plane to the reference plane:
s706: and judging the deformation of the outer wall plane of the product according to the calculated four results.
It can be understood as the spacing of the profiling jig from the edge of the product, thereby obtaining a measurement of the product profile.
In the embodiment of the invention, the simulation modeling is 2D modeling or 3D modeling, wherein the 3D modeling is modeling of a single side surface, and the number of the 3D laser measuring instruments can be increased to realize complex 3D modeling.
Specifically, the jig obtains a supporting plane through processing data, wherein the supporting plane can be standard data, can also be obtained in practice, and the standard data is optimized, so that the detection efficiency is improved.
In the embodiment of the present invention, the S4 further includes a plane compensation module, where the plane compensation module is compared with the supporting plane, and performs result compensation according to the deformation degree of the product, because the deformation of the product is different, the fitting plane is greatly different from the actual supporting plane of the product, and the obtained calculation result is far different.
The 3D laser measuring instrument is used for scanning products in a non-contact mode, so that height data of the products are obtained, the obtained 3D data are used for fitting a virtual plane, then a detection method is used for calculation, the algorithm is a result of combining a mathematical formula and engineering, mathematical methods such as plane fitting knowledge, optimal data selection and Gaussian filtering are largely used, the 3D laser measuring instrument only provides original data, and the calculation result is calculated through the detection method.
The difference between the data obtained by different scanning modes is different in the line laser oblique scanning or the vertical scanning, but it can be known from fig. 1 that the concave-convex surface of the lower plane of the mobile phone middle frame is complex, so that the oblique scanning mode is preferred to reduce the scanning blind area, wherein the scanned data is preferably multiple times, such as 3+n times.
The 3D laser measuring instrument is used for scanning products in a non-contact mode, so that height data of the products are obtained, the obtained 3D data are used for fitting a virtual plane, then a detection method is used for calculation, the algorithm is a result of combining a mathematical formula and engineering, mathematical methods such as plane fitting knowledge, optimal data selection and Gaussian filtering are largely used, the 3D laser measuring instrument only provides original data, and the calculation result is calculated through the detection method.
The following are practical measurement examples:
the product 1 is defective product measurement data,
the product 2 is defective product measurement data,
the product 3 is the measurement data of good products,
the product 4 is the measurement data of good products,
the foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather, the equivalent structural changes made by the description of the present invention and the accompanying drawings or the direct/indirect application in other related technical fields are included in the scope of the invention.
Claims (7)
1. A non-contact z-direction detection method for a mobile phone middle frame is characterized by comprising a profiling jig and a 3D laser measuring instrument arranged below the profiling jig,
the detection step comprises the following steps:
s1: the 3D laser measuring instrument emits line laser, the line laser converts the size data into point position data, and the point position data comprises line laser line width data, line laser line distance data, point position line number data and point position line number data which are obtained after scanning;
s2, scanning a jig and a product by the 3D laser measuring instrument, and acquiring preliminary data;
s3, eliminating interference factors by a filtering module and acquiring processing data;
s4: processing data to fit a plane to a product, wherein the fit plane comprises lower plane data and outer wall plane data of the product;
s5: performing simulation modeling through the lower plane data to obtain fitting lower plane data of the product;
s6: comparing the fitting lower plane data with the standard lower plane data, and judging whether the fitting lower plane data accords with a preset threshold value or not;
s7, performing simulation modeling through outer wall plane data to obtain fitting outer wall plane data of the lower wall of the outer contour of the product;
s8: fitting the outer wall plane data, comparing the outer wall plane data with the standard outer wall plane data, and judging whether the outer wall plane data accords with a preset threshold value or not;
s9: and fitting the lower plane data and the standard outer wall plane data, and judging whether the product meets a preset value or not.
2. The method for detecting the non-contact z direction of the middle frame of the mobile phone according to claim 1, wherein the method comprises the following steps: the fitting lower plane data in S5 includes:
s501: combining line width data, line laser line distance data, point position line number data and point position line number data obtained after scanning into point cloud data, and performing concave-convex calculation;
s502, fitting a lower plane by using a least square method;
s503, obtaining lower flatness and a lower plane normal vector;
s504, planes with different heights in the lower plane need to be combined, including:
s505, calculating the maximum distance d1 between all the point cloud data in the detection area and the inner plane:
s506: calculating the distances d2 from all the point cloud data in the detection area to the reference plane:
s507: the roughness of the product is determined based on the distance d1+d2.
3. The method for detecting the non-contact z direction of the middle frame of the mobile phone according to claim 1, wherein the method comprises the following steps:
the fitting lower plane data in S7 includes:
s701: combining line laser line width data, line laser line distance data, point position line number data and point position line number data obtained after scanning into point cloud data, and carrying out product outer wall plane deformation calculation;
s702: acquiring four-angle fitting point cloud data of a product;
s703: selecting the maximum height of each angle fitting point;
s704: three fitting point fitting datum planes are selected from the four datum points:
s705: calculating the distance d3 from the point other than the fitting reference plane to the reference plane:
s706: and judging the deformation of the outer wall plane of the product according to the calculated four results.
4. The method for detecting the non-contact z direction of the middle frame of the mobile phone according to claim 1, wherein the method comprises the following steps: the simulation modeling is 2D modeling or 3D modeling.
5. The method for detecting the non-contact z direction of the middle frame of the mobile phone according to claim 1, wherein the method comprises the following steps: the jig obtains a supporting plane by processing data.
6. The method for detecting the non-contact z direction of the middle frame of the mobile phone according to claim 1, wherein the method comprises the following steps: and the S4 further comprises a plane compensation module, wherein the plane compensation module is compared with the supporting plane, and result compensation is carried out according to the deformation degree of the product.
7. The method for detecting the non-contact z direction of the middle frame of the mobile phone according to claim 1, wherein the method comprises the following steps: the line laser scans obliquely or vertically.
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| CN202310576182.6A CN116625271A (en) | 2023-05-19 | 2023-05-19 | Mobile phone middle frame non-contact z-direction detection method |
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| CN202310576182.6A CN116625271A (en) | 2023-05-19 | 2023-05-19 | Mobile phone middle frame non-contact z-direction detection method |
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