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CN119555020A - A method and system for detecting surface coating of environmentally friendly non-woven fabrics - Google Patents

A method and system for detecting surface coating of environmentally friendly non-woven fabrics Download PDF

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Publication number
CN119555020A
CN119555020A CN202510127569.2A CN202510127569A CN119555020A CN 119555020 A CN119555020 A CN 119555020A CN 202510127569 A CN202510127569 A CN 202510127569A CN 119555020 A CN119555020 A CN 119555020A
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China
Prior art keywords
scanning
coating
straight line
grayscale
points
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Inventor
康小平
许继军
唐静
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Sichuan Kaipu Environmental Protection Package Product Co ltd
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Sichuan Kaipu Environmental Protection Package Product Co ltd
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Priority to CN202510127569.2A priority Critical patent/CN119555020A/en
Publication of CN119555020A publication Critical patent/CN119555020A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/30Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring roughness or irregularity of surfaces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/02Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
    • G01B21/08Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness for measuring thickness
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/13Edge detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30124Fabrics; Textile; Paper

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Quality & Reliability (AREA)
  • Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)

Abstract

本发明涉及一种环保无纺布表面涂层检测方法及系统,属于非专用于特定变量的测量技术领域,包括如下步骤:步骤1):清洁所有的涂层表面,扫描涂层表面中的各个边缘表面,以检测涂层的各个边缘厚度是否均匀;步骤2):采用横纵向直线分布法扫描涂层表面中的各个边缘表面以外的涂层表面;步骤3):将采集到的涂层表面中的各个边缘表面以外的涂层表面图像转换为灰度图像,计算灰度图像的灰度值分布;步骤4):评估所有的涂层表面,检测出所有的涂层表面是否存在平整度的缺陷;本发明的有益效果:根据各个第一平面厚度是否均匀,以及根据各个第二平面的灰度图像的灰度值分布,检测出所有的涂层表面是否存在平整度的缺陷。

The invention relates to a method and system for detecting surface coating of an environmentally friendly non-woven fabric, belonging to the field of measurement technology not dedicated to a specific variable, and comprising the following steps: step 1): cleaning all coating surfaces, scanning each edge surface in the coating surface, so as to detect whether the thickness of each edge of the coating is uniform; step 2): scanning the coating surface other than each edge surface in the coating surface by adopting a horizontal and vertical linear distribution method; step 3): converting the collected coating surface image other than each edge surface in the coating surface into a grayscale image, and calculating the grayscale value distribution of the grayscale image; step 4): evaluating all coating surfaces, and detecting whether all coating surfaces have flatness defects; the beneficial effect of the invention is that according to whether the thickness of each first plane is uniform, and according to the grayscale value distribution of the grayscale image of each second plane, it is detected whether all coating surfaces have flatness defects.

Description

Environment-friendly non-woven fabric surface coating detection method and system
Technical Field
The invention belongs to the technical field of measurement of specific variables, and particularly relates to a method and a system for detecting a surface coating of an environment-friendly non-woven fabric.
Background
The non-woven fabric is a non-woven fabric, which is formed by directly weaving fibers into a net by using high polymer slices, short fibers and filaments through air flow or machinery, then performing water needling, needle punching and hot rolling for reinforcement, and finally finishing to form the non-woven fabric. The non-woven fabric has the advantages of no generation of fiber scraps, toughness, durability and silky softness, is a reinforcing material, and has cotton feel, and compared with cotton, the non-woven fabric is easier to process and manufacture into a formed product.
Most of the non-woven fabrics have a flat surface, but in the production process, fine irregularities or wrinkles may occur on the non-woven fabrics due to improper control of process parameters and the like. For example, in the hot pressing process, if the temperature and pressure are not uniform, fine irregularities are formed on the surface of the nonwoven fabric, and the flatness of the surface of the nonwoven fabric is affected.
The surface of the non-woven fabric can be coated with a coating, the non-woven fabric surface coating is a coating material for improving the performance and the function of the non-woven fabric, and the non-woven fabric surface coating can be a waterproof coating, an antistatic coating or a flame retardant coating, but if the surface of the non-woven fabric is slightly uneven, the flatness of the whole non-woven fabric surface coating is affected.
Disclosure of Invention
The invention provides an environment-friendly non-woven fabric surface coating detection method and system, which are used for detecting whether all coating surfaces have flatness defects according to whether the edge thickness of each edge surface in the coating surfaces is uniform or not and according to the gray value distribution of gray images of the coating surfaces except for each edge surface in the coating surfaces.
In order to achieve the above purpose, the present invention is realized by the following technical scheme:
the method for detecting the surface coating of the environment-friendly non-woven fabric comprises the following steps:
step 1), cleaning all coating surfaces, and scanning all edge surfaces in the coating surfaces to detect whether the thickness of all edges of the coating is uniform, wherein an edge thickness detection method is adopted to detect whether the thickness of all edges of the coating is uniform;
scanning the coating surfaces except for the edge surfaces of the coating surfaces by adopting a transverse and longitudinal linear distribution method;
converting the acquired coating surface images except for each edge surface in the coating surface into gray images, and calculating gray value distribution of the gray images, wherein the gray images are analyzed by a gray depth analysis method;
and 4) evaluating all the coating surfaces, and detecting whether all the coating surfaces have defects of flatness.
Optionally, in step 1), dust on the surface of the coating layer is lightly brushed by using a soft brush on the dust collector in all coating layer surface cleaning processes, so that the fiber on the surface of the coating layer is prevented from being damaged, and the dust is adsorbed by the dust collector.
Alternatively, the edge thickness detection method is as follows formula (1):
(1);
Wherein, For a scanning line on a certain edge surface of the coating surface, the direction of the scanning line is from one direction to the other direction, or the direction of the scanning line is from the other direction to one direction,An operation is performed for the scanning,Scanning a certain edge surface of the coating surfaces along a scanning linear direction;
Is the first A point of height at which the height of the container is greater than the height of the container,For what is obtained after scanningA set of the height points,For scanningA point of height at which the height of the container is greater than the height of the container,Is thatThe scanning direction of the points of height,From the scanning direction of the altitude pointTo the point ofOr fromTo the point of;
To scan along the direction of the scanning lineA plurality of height points;
Calculating an average height for the heights of the obtained height points; The average height of a certain edge surface of the coating surfaces is taken as the edge thickness of the certain edge surface of the coating surfaces.
Optionally, in step 2), the transverse and longitudinal straight line distribution method comprises the following steps:
Step 01), scanning the coating surface along a straight line direction;
step 02), obtaining a plurality of scanning points in the scanning process, wherein each moment corresponds to each scanning point;
And 03) decomposing each scanning point to scan in two directions perpendicular to each other.
Optionally, in step 2), the transverse-longitudinal linear distribution method is as follows formula (2):
(2);
Wherein, Is straight lineUpper firstMultiple points, the scanning direction being in straight lineThe upper part of the upper part is provided with a plurality of grooves,For scanning straight linesAt each of the scanning points on the scanning beam,Is straight lineWith thereonScanning points; is along a straight line Scanning to obtainScanning points;
Is straight line Upper firstThe individual points are decomposed inStraight line in direction,Edge of the frameScanning in a direction; Is straight line Upper firstThe individual points are decomposed inStraight line in direction,Edge of the frameScanning in a direction; Is along a straight line Scanning, straight lineEach scanning point on the image is decomposed onIn the direction and decompose inPerforming scanning in the direction;
Is in a straight line of alignment When each scanning point on the image is scanned, each scanning point is decomposed intoIn the direction and decompose inScanning in the direction;
Is that At the moment of time of day,To collect the firstTime of day,For the time period of time it is possible,For the acquisition time periodEach time within;
for a time period of Each time within corresponds to a straight lineEach scanning point on the scanning line; is the scanning result of the transverse and longitudinal straight line distribution.
Optionally, in step 3), the gray-scale depth analysis method analyzes the gray-scale image, and the following formula (3) is adopted:
(3);
Wherein, Is the area of the gray-scale image,Is the first on the gray scale imageThe depth of the individual gray-scale points,Is the total number of gray points,In order to calculate the total number of gray points,For the depth recognition operation of the gray points,In order to identify gray points on the gray image and calculate the total number of the gray points;
is the total number of gray points in the area of the gray image Upper duty cycle;
to the area of the gray image according to the total number of gray points The upper proportion analyzes the gray value distribution condition on the gray image; As a result of the gray value distribution.
Optionally, in step 4), whether all the coating surfaces have a defect of flatness is detected according to whether the edge thickness of each of the coating surfaces is uniform or not, and according to the gray value distribution of the gray image of the coating surface other than each of the coating surfaces.
An environmental protection nonwoven fabric surface coating detecting system, comprising:
the scanning module is used for scanning each edge surface and the coating surface except each edge surface;
An image generation module for generating each edge surface image and generating a coating surface image outside each edge surface;
An image processing module for processing the respective edge surface images and processing the coating surface images outside the respective edge surfaces;
The data processing module is used for evaluating whether all the coating surfaces have flatness defects or not;
And the scanning module, the image generating module and the image processing module are sequentially connected with the data processing module.
The invention has the beneficial effects that:
The method comprises the steps of scanning all edge surfaces in a coating surface, converting all edge surfaces into images to detect whether the thickness of each edge of the coating is uniform, converting the acquired coating surface images except for all edge surfaces in the coating surface into images, wherein the images are gray images, calculating gray value distribution of the gray images, evaluating all the coating surfaces, and detecting whether all the coating surfaces have defects of flatness according to whether the thickness of each edge surface in the coating surface is uniform and according to the gray value distribution of the gray images except for all edge surfaces in the coating surface.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system architecture of the present invention;
FIG. 2 is a workflow diagram of the present invention;
FIG. 3 is a schematic cross-sectional view of a nonwoven fabric coated with a coating layer according to the present invention;
FIG. 4 is a schematic diagram of image processing after a first planar scan according to the present invention;
fig. 5 is a schematic diagram of image processing after a second planar scan according to the present invention.
The icons are 1-non-woven fabric, 2-coating, 3-first plane and 4-second plane.
Detailed Description
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Example 1;
As shown in fig. 1, this embodiment provides an environment-friendly non-woven fabric surface coating detection system, which includes:
the scanning module is used for scanning each edge surface and the coating surface except each edge surface;
An image generation module for generating each edge surface image and generating a coating surface image outside each edge surface;
An image processing module for processing the respective edge surface images and processing the coating surface images outside the respective edge surfaces;
The data processing module is used for evaluating whether all the coating surfaces have flatness defects or not;
And the scanning module, the image generating module and the image processing module are sequentially connected with the data processing module.
The scanning module scans each edge surface in the coating surface, the image generating module generates images of each edge surface, and the image processing module detects whether the thickness of each edge of the coating is uniform.
The scanning module scans the coating surfaces except for the edge surfaces of the coating surfaces, the image generating module generates images of the coating surfaces except for the edge surfaces of the coating surfaces, and the image processing module calculates gray value distribution of gray images.
The data processing module evaluates all the coating surfaces and detects whether all the coating surfaces have defects of flatness.
Example 2;
As shown in fig. 3, the outer surface of the nonwoven fabric 1 is coated with a coating 2, the first plane 3 is defined as an edge surface among the coating surfaces, and the second plane 4 is defined as a coating surface other than each of the coating surfaces.
Example 3;
Based on embodiment 1-embodiment 2, as shown in fig. 2, the embodiment provides a method for detecting a surface coating of an environment-friendly non-woven fabric, which includes the following steps:
Step 1) cleaning all coating surfaces (namely a first plane 3 and a second plane 4), and scanning each edge surface (namely the first plane 3) in the coating surfaces to detect whether the thickness of each edge of the coating is uniform;
scanning the coating surface (namely a second plane 4) except for each edge surface in the coating surface by adopting a transverse and longitudinal linear distribution method;
converting the acquired coating surface images except for each edge surface in the coating surface into gray images, and calculating gray value distribution of the gray images, wherein the gray images are analyzed by a gray depth analysis method;
and 4) evaluating all the coating surfaces, and detecting whether all the coating surfaces have defects of flatness.
In the step 1), dust on the surface of the coating is lightly brushed by using a soft brush on the dust collector in all coating surface cleaning processes, so that the fiber on the surface of the coating is prevented from being damaged, and the dust is adsorbed by the dust collector.
Specifically, the edge thickness detection method in step 1) is as follows formula (1):
(1);
Wherein, For a scanning line on a certain edge surface of the coating surface, the direction of the scanning line is from one direction to the other direction, or the direction of the scanning line is from the other direction to one direction,An operation is performed for the scanning,Scanning a certain edge surface of the coating surfaces along a scanning linear direction;
Is the first A point of height at which the height of the container is greater than the height of the container,For what is obtained after scanningA set of the height points,For scanningA point of height at which the height of the container is greater than the height of the container,Is thatThe scanning direction of the points of height,From the scanning direction of the altitude pointTo the point ofOr fromTo the point of;
To scan along the direction of the scanning lineA plurality of height points;
Calculating an average height for the heights of the obtained height points; In order to obtain the average height of a certain edge surface of the coating surface as the edge thickness of a certain edge surface of the coating surface (since after comparing the average height of the first plane 3 with the respective height points, if the average height of the first plane 3 is not different from or identical to the height of the respective height points, the average height is taken as the thickness of the first plane 3; otherwise, if the average height of the first plane 3 is very different from the height of the respective height points, the average height is not taken as the thickness of the first plane 3).
In the step 2), the transverse and longitudinal straight line distribution method comprises the following steps:
Step 01), scanning the coating surface along a straight line direction;
step 02), obtaining a plurality of scanning points in the scanning process, wherein each moment corresponds to each scanning point;
And 03) decomposing each scanning point to scan in two directions perpendicular to each other.
Or, in the step 2), the transverse and longitudinal straight line distribution method is as follows formula (2):
(2);
Wherein, Is straight lineUpper firstMultiple points, the scanning direction being in straight lineThe upper part of the upper part is provided with a plurality of grooves,For scanning straight linesAt each of the scanning points on the scanning beam,Is straight lineWith thereonScanning points; is along a straight line Scanning to obtainScanning points;
Is straight line Upper firstThe individual points are decomposed inStraight line in direction,Edge of the frameScanning in a direction; Is straight line Upper firstThe individual points are decomposed inStraight line in direction,Edge of the frameScanning in a direction; Is along a straight line Scanning, straight lineEach scanning point on the image is decomposed onIn the direction and decompose inPerforming scanning in the direction;
Is in a straight line of alignment When each scanning point on the image is scanned, each scanning point is decomposed intoIn the direction and decompose inScanning in the direction;
Is that At the moment of time of day,To collect the firstTime of day,For the time period of time it is possible,For the acquisition time periodEach time within;
for a time period of Each time within corresponds to a straight lineEach scanning point on the scanning line; is the scanning result of the transverse and longitudinal straight line distribution.
In step 3), the gray-scale depth analysis method analyzes the gray-scale image, using the following formula (3):
(3);
Wherein, Is the area of the gray-scale image,Is the first on the gray scale imageThe depth of the individual gray-scale points,Is the total number of gray points,In order to calculate the total number of gray points,For the depth recognition operation of the gray points,In order to identify gray points on the gray image and calculate the total number of the gray points;
is the total number of gray points in the area of the gray image Upper duty cycle;
to the area of the gray image according to the total number of gray points The upper proportion analyzes the gray value distribution condition on the gray image; As a result of the gray value distribution.
In step 4), whether or not all of the coating surfaces have a defect of flatness is detected from whether or not the edge thickness of each of the edge surfaces (i.e., each of the first planes 3) in the coating surfaces is uniform, and from the gray value distribution of the gray image of the coating surface (i.e., each of the second planes 4) other than each of the edge surfaces in the coating surfaces.
Example 4;
Based on example 2, explained by equation (1) in connection with fig. 4, fig. 4 is a schematic diagram of scanning the first plane 3 of the coating 2.
Scanning straight lineThe scanning direction of (a) is from the left end to the right end, or from the right end to the left end.
Along a scan lineIs obtained after scanning the first plane 3 in the scanning direction of (a)The set of height points, i.e.If scan straight lineThe scanning direction of (a) is from the left end to the right endThe height points are slavesTo the point ofArrangement, if a straight line is scannedThe scanning direction of (a) is from right end to left endThe height points are slavesTo the point ofArranging;
By obtaining the height of each height point (height is the distance between the top end face and the bottom end face of the first plane 3 of fig. 2), the height of each height point is The average height of each height point of the first plane 3 is calculated as the edge thickness of a certain edge surface of the coating surface, i.e. the edge thickness of the first plane 3.
Example 5;
Based on example 2, illustrated by equation (2) in connection with fig. 5, fig. 5 is a schematic diagram of scanning the second plane 4 of the coating 2.
In straight lineWith thereonThe scanning points, i.e. along straight linesScanning to obtainScanning points;
Straight line The 1 st point on the graph is decomposed inStraight line in the directionStraight line, straight lineAt the position ofScanning in the direction, straight lineThe 1 st point on the graph is decomposed inStraight line in the directionStraight line, straight lineAt the position ofScanning in the direction, analogizing in the same way, straight lineUpper firstThe individual points are decomposed inStraight line in the directionStraight line, straight lineAt the position ofScanning in the direction, straight lineUpper firstThe individual points are decomposed inStraight line in the directionStraight line, straight lineAt the position ofScanning in the direction until a straight line is scannedUpper firstA point.
Time periodIn, haveAt a straight lineIn the course of the above-mentioned scanning process,Corresponding to straight lineAt the 1 st point on the top of the table,Corresponding to straight lineUpper firstA single point, and so on,Corresponding to straight lineUpper firstA scanning result of transverse and longitudinal linear distribution is finally obtained at a plurality of points
Example 6;
Based on embodiment 2, the description of fig. 5 is combined with the formula (3), and the scanning area of fig. 5 is obtained after scanning with a horizontal-vertical linear distribution, and the scanning area of fig. 5 can be converted into a gray-scale image, i.e., a straight line Point 1 on to straight lineUpper firstRectangular areas between points can be converted into grayscale images.
The area of the gray image isEach point in the gray image is the depth of each point according to the color of each point, the gray of the point is darker, the depth of the point in the gray image is darker, a depth threshold value is set for the depth of the point, the point in the gray image is darker than the depth threshold value, the gray point in the gray image is the gray point, and the gray point on the gray image is found.
Finally, the total number of gray points is used for displaying the area of the gray imageThe upper duty ratio analyzes the distribution of the gradation values on the gradation image.
The above description is merely an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present invention, and it is intended to cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (8)

1.一种环保无纺布表面涂层检测方法,其特征在于,包括如下步骤:1. A method for detecting surface coating of environmentally friendly non-woven fabrics, characterized in that it comprises the following steps: 步骤1):清洁所有的涂层表面,扫描涂层表面中的各个边缘表面,以检测涂层的各个边缘厚度是否均匀;其中,采用边缘厚度检测法检测涂层的各个边缘厚度是否均匀;Step 1): clean all coating surfaces, scan each edge surface of the coating surface to detect whether the thickness of each edge of the coating is uniform; wherein, an edge thickness detection method is used to detect whether the thickness of each edge of the coating is uniform; 步骤2):采用横纵向直线分布法扫描涂层表面中的各个边缘表面以外的涂层表面;Step 2): Scan the coating surface other than each edge surface of the coating surface using a horizontal and vertical linear distribution method; 步骤3):将采集到的涂层表面中的各个边缘表面以外的涂层表面图像转换为灰度图像,计算灰度图像的灰度值分布;其中,通过灰度深度分析法分析灰度图像;Step 3): converting the collected coating surface images other than the edge surfaces into grayscale images, and calculating the grayscale value distribution of the grayscale images; wherein the grayscale images are analyzed by a grayscale depth analysis method; 步骤4):评估所有的涂层表面,检测出所有的涂层表面是否存在平整度的缺陷。Step 4): Evaluate all coating surfaces and detect whether there are any flatness defects on all coating surfaces. 2.根据权利要求1所述的一种环保无纺布表面涂层检测方法,其特征在于,在所述步骤1)中,在所述所有的涂层表面清洁过程中,利用吸尘器上的软毛刷轻刷涂层表面的灰尘,避免损坏涂层表面的纤维,同时吸尘器吸附灰尘。2. An environmentally friendly non-woven fabric surface coating detection method according to claim 1 is characterized in that, in the step 1), during the cleaning process of all the coating surfaces, the dust on the coating surface is gently brushed with a soft brush on a vacuum cleaner to avoid damaging the fibers on the coating surface, and the vacuum cleaner absorbs the dust at the same time. 3.根据权利要求2所述的一种环保无纺布表面涂层检测方法,其特征在于,所述边缘厚度检测法,为如下公式(1):3. The method for detecting the surface coating of an environmentally friendly non-woven fabric according to claim 2, characterized in that the edge thickness detection method is the following formula (1): (1); (1); 其中,为涂层表面中的某个边缘表面上的扫描直线,扫描直线的方向从一个方向到另一个方向,或扫描直线的方向从另一个方向到一个方向,为扫描执行操作,为涂层表面中的某个边缘表面沿扫描直线方向进行扫描;in, is a scanning straight line on a certain edge surface of the coating surface, the direction of the scanning straight line is from one direction to another direction, or the direction of the scanning straight line is from another direction to one direction, To perform an action for a scan, Scanning a certain edge surface of the coating surface along a scanning straight line direction; 为第个高度点,为扫描后得到的个高度点的集合,为扫描个高度点,个高度点的扫描方向,为高度点的扫描方向从或从 For the A height point, After scanning, A collection of height points, For scanning A height point, for The scanning direction of the height points, The scanning direction of the height point is from arrive or from arrive ; 为沿扫描直线的方向,扫描出个高度点; is the direction along the scanning line, scanning out height points; 为通过得到的各个高度点的高度,计算出平均高度;为将得到涂层表面中的某个边缘表面的平均高度作为涂层表面中的某个边缘表面的边缘厚度。 Calculate the average height of each height point obtained; The average height of a certain edge surface in the coating surface is obtained as the edge thickness of a certain edge surface in the coating surface. 4.根据权利要求1所述的一种环保无纺布表面涂层检测方法,其特征在于,在所述步骤2)中,所述横纵向直线分布法,为如下步骤:4. The method for detecting the surface coating of an environmentally friendly non-woven fabric according to claim 1, characterized in that in the step 2), the horizontal and vertical linear distribution method is the following steps: 步骤01):在涂层表面上沿直线方向进行扫描;Step 01): Scan along a straight line on the coating surface; 步骤02):在扫描过程中,得到多个扫描点;其中,各个时刻对应到各自的所述扫描点;Step 02): During the scanning process, a plurality of scanning points are obtained; wherein each moment corresponds to a respective scanning point; 步骤03):将各个扫描点各自分解在相互垂直的两个方向上进行扫描。Step 03): Decompose each scanning point into two mutually perpendicular directions for scanning. 5.根据权利要求1所述的一种环保无纺布表面涂层检测方法,其特征在于,在所述步骤2)中,所述横纵向直线分布法,为如下公式(2):5. The method for detecting the surface coating of an environmentally friendly non-woven fabric according to claim 1, characterized in that, in the step 2), the horizontal and vertical linear distribution method is the following formula (2): (2); (2); 其中,为直线上的第个点,扫描方向在直线上,为扫描直线上的各个扫描点,为直线上具有个扫描点;为沿着直线进行扫描得到个扫描点;in, For straight line On points, the scanning direction is in a straight line superior, Scanning line Each scanning point on For straight line Has Scan points; To follow the straight line Scan to get Scan points; 为直线上的第个点分解在方向上的直线沿方向扫描;为直线上的第个点分解在方向上的直线沿方向扫描;为沿直线扫描,直线上的各个扫描点各自分解在方向上和分解在方向上进行扫描的操作; For straight line On The point decomposition Straight line in direction , along Direction scanning; For straight line On The point decomposition Straight line in direction , along Direction scanning; For a straight line Scan, Line Each scanning point on the Direction and decomposition in Operation of scanning in direction; 为在对直线上的各个扫描点进行扫描时,各个扫描点各自分解在方向上和分解在方向上进行扫描; For the straight line When scanning each scanning point on the Direction and decomposition in Scan in the direction; 时刻,为采集第时刻的为时间段,为采集时间段内的各个时刻; for time, To collect Moment , For the time period, Collection time period every moment within; 为时间段内的各个时刻对应到直线上的各个扫描点;为横纵向直线分布的扫描结果。 For time period Each moment in the corresponding straight line Each scanning point on It is the scanning result of horizontal and vertical straight line distribution. 6.根据权利要求1所述的一种环保无纺布表面涂层检测方法,其特征在于,在所述步骤3)中,所述灰度深度分析法分析灰度图像,采用如下公式(3):6. The method for detecting surface coating of environmentally friendly non-woven fabrics according to claim 1, characterized in that, in the step 3), the grayscale depth analysis method analyzes the grayscale image using the following formula (3): (3); (3); 其中,为灰度图像的面积,为灰度图像上的第个灰度点的深度,为灰度点的总个数,为计算灰度点的总个数,为灰度点的深度识别操作,为在灰度图像上,识别出灰度点并计算灰度点的总个数;in, is the area of the grayscale image, is the grayscale image The depth of the grayscale point, is the total number of grayscale points, To calculate the total number of gray points, is the depth recognition operation of grayscale points, To identify the grayscale points and calculate the total number of grayscale points on the grayscale image; 为灰度点的总个数在灰度图像的面积上的占比; is the total number of grayscale points in the area of the grayscale image The proportion of 为根据灰度点的总个数在灰度图像的面积上的占比分析灰度图像上的灰度值分布情况;为灰度值分布情况的结果。 is the area of the grayscale image based on the total number of grayscale points Analyze the distribution of grayscale values on the grayscale image by using the proportion on it; The result is the gray value distribution. 7.根据权利要求1所述的一种环保无纺布表面涂层检测方法,其特征在于,在所述步骤4)中,根据所述涂层表面中的各个所述边缘表面的所述边缘厚度是否均匀,以及根据涂层表面中的各个边缘表面以外的涂层表面的所述灰度图像的灰度值分布,检测出所有的所述涂层表面是否存在平整度的缺陷。7. An environmentally friendly non-woven fabric surface coating detection method according to claim 1 is characterized in that, in the step 4), whether all the coating surfaces have flatness defects is detected based on whether the edge thickness of each edge surface in the coating surface is uniform, and based on the grayscale value distribution of the grayscale image of the coating surface other than each edge surface in the coating surface. 8.一种环保无纺布表面涂层检测系统,用于执行根据权利要求1-7任意一项所述的一种环保无纺布表面涂层检测方法,其特征在于,包括:8. An environmentally friendly non-woven fabric surface coating detection system, used to perform an environmentally friendly non-woven fabric surface coating detection method according to any one of claims 1 to 7, characterized in that it comprises: 扫描模块,用于扫描各个边缘表面以及各个边缘表面以外的涂层表面;A scanning module, used for scanning each edge surface and a coating surface other than each edge surface; 图像生成模块,用于生成各个边缘表面图像以及生成各个边缘表面以外的涂层表面图像;An image generation module, used to generate images of each edge surface and images of coating surfaces other than each edge surface; 图像处理模块,用于处理各个边缘表面图像以及处理各个边缘表面以外的涂层表面图像;An image processing module, used for processing each edge surface image and processing the coating surface image other than each edge surface; 数据处理模块,用于评估所有的涂层表面是否存在平整度的缺陷;Data processing module to evaluate all coating surfaces for flatness defects; 从所述扫描模块、所述图像生成模块、所述图像处理模块到所述数据处理模块,依次连接。The scanning module, the image generating module, the image processing module and the data processing module are connected in sequence.
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