Coating production line on-line monitoring management system based on Internet of Things

Abstract

The invention discloses a coating production line on-line monitoring management system based on the Internet of Things, relates to the technical field of coating production lines, and solves the problem that spraying treatment cannot be carried out aiming at different coating pieces due to the fact that no spraying route determining mode is set. According to the method, image acquisition is carried out on a coating piece needing to be coated on a coating production line, contour confirmation is carried out based on the acquired image, then center point confirmation is carried out on the confirmed specific contour, and then equal-ratio reduction is carried out on the edge contour based on the confirmed center point and the edge contour, so that the coating quality of the coating piece is improved. According to the spraying route determining method, the corresponding spraying route is locked by determining the spraying route and ensuring that the shrinking distance associated with each shrinking process belongs to the corresponding preset range, the spraying liquid diffusion condition is fully considered in the spraying route determining mode, the uniform thickness of overall spraying can be effectively ensured, and the good spraying effect is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of coating production lines, and in particular to an online monitoring and management system for coating production lines based on the Internet of Things. Background Art

[0002] A coating production line is a production line used to apply surface coating to products. The design and layout of the coating production line need to be comprehensively considered based on factors such as product characteristics, production scale, and coating type in order to improve production efficiency, ensure product quality, and meet environmental protection requirements.

[0003] The application with publication number CN110244665A discloses a remote intelligent management system for a coating production line, which includes various types of sensors, network cameras, machine vision systems, intelligent gateways, central servers, disk arrays, remote intelligent management platforms for coating production lines, and large-screen display centers. Compared with the prior art, the invention has the following advantages: (1) It reduces the problem of scattered information resources caused by segmented processing and integrates manufacturing information in the production process; (2) It uses machine vision instead of artificial vision to reduce manual operations in dangerous environments, improve product production efficiency and quality accuracy, and make production more flexible and automated; (3) It saves a lot of labor costs, tracks and predicts the health status of equipment in real time, and makes equipment status management visual and remote.

[0004] During the monitoring and management process of its coating production line, the designated coating parts are generally coated based on the set relevant procedures, and the corresponding coating parameters are recorded to monitor the coating production line and generate coating data for the corresponding coating parts during the coating process. However, the original method can only spray a single and fixed coating part, and a method for determining the spraying route is not set, resulting in the inability to spray different coating parts. The coverage of the original coating production line needs to be enhanced. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an online monitoring and management system for a coating production line based on the Internet of Things, which solves the problem that there is no method for determining the spraying route, resulting in the inability to spray different coating parts.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an online monitoring and management system for a coating production line based on the Internet of Things, comprising:

[0007] The machine vision end acquires the surface image of the painted part to be painted on the painting production line, and transmits the acquired surface image of the painted part to the spraying route determination end;

[0008] The spraying route determination end determines the relevant contour of the corresponding painted part surface based on the acquired painted part surface image, and then generates the spraying route belonging to the painted part based on the determined relevant contour and relevant preset data, specifically in the following manner:

[0009] Based on the surface image of the painted part confirmed by the painted part, an edge detection algorithm is used to confirm the image contour of the surface image of the painted part and calibrate it as the contour of the painted part;

[0010] Based on the determined painted part contour, the painted part contour is placed in a set of two-dimensional coordinate systems, and based on a number of two-dimensional coordinates associated with relevant points of the painted part contour, a number of two-dimensional coordinates are averaged to determine the mean coordinates, the mean point is locked based on the determined mean coordinates, and the mean point is marked in the painted part contour as its center point;

[0011] Based on the center point of the painted part contour, the edge point farthest from the center point is identified on the painted part contour, and a characteristic line between the center point and the edge point is constructed. When there are multiple edge points farthest from the center point, a set of characteristic lines can be randomly determined.

[0012] Based on the set range data, the range data is preset data, so that the contour of the painted part is proportionally reduced according to the determined center point, and the distance JL between the reduced contour and the original painted part contour at the same point belongs to the range data. In this way, the contour of the painted part is successively reduced, and in the reduction process, it is ensured that the distance JL between the same point of the adjacent reduced contours belongs to the range data, and the reduced contour is calibrated as a characteristic contour. When the area of ​​the reduced characteristic contour is less than Y1, the reduction process is stopped, where Y1 is a preset value;

[0013] Execute different reduction processes, and the JL corresponding to different reduction processes are all different. Identify the closest distance LL between the innermost feature contour and the center point in different reduction processes, and determine the middle value ZJ of the range data. Lock a group of reduction processes with the closest distance LL and ZJ values, and calibrate this reduction process as the standard process;

[0014] Based on the determined standard process and the different characteristic contours associated with the standard process, the contour lines associated with the different characteristic contours are calibrated as spray routes. The starting point of the spray route corresponds to the intersection of the characteristic contour and the characteristic line. A group of directions are randomly selected as the route travel direction. The several groups of spray routes determined for this coating part are all consistent.

[0015] The execution end controls the spraying equipment according to the spraying route determined for the painted part, so that the internal execution parts of the spraying equipment spray the painted part according to the determined spraying route, and mark the painted part after the spraying process as a defective part.

[0016] Preferably, it also includes: a spraying thickness confirmation end, which confirms the spraying thickness of the outer surface of the defective part, and scans the spraying thickness of the outer surface of the defective part according to the set scanning equipment and confirms the related value.

[0017] Preferably, it also includes: a warm area determination end, according to different spraying thicknesses associated with different points on the outer surface of the product, and based on the set center point, a correlation analysis of the spraying thickness is performed to determine the variable positioning point, align the direct point of the warm area with the variable positioning point, and lock the location of the warm area; the specific method is:

[0018] Based on the confirmed center point of the defective part surface, a set of association lines passing through the center point is randomly generated, the endpoints of the association lines are located on the contour of the defective part surface, and the association lines are parallel to the horizontal plane;

[0019] Prioritize identifying the mean values ​​of the spraying thickness of the upper and lower areas of the correlation line, and move the correlation line horizontally up and down. The moving direction is from the area with a larger mean value of the spraying thickness to the area with a smaller mean value of the spraying thickness. When the correlation line moves to the point where the absolute value of the mean value of the thickness associated with the areas on both sides reaches the minimum, it stops, and the current position of the correlation line is determined.

[0020] Then construct a set of related vertical lines perpendicular to the associated line, the endpoints of which are also located on the contour of the defective part surface, identify the mean value of the spraying thickness of the left and right areas of the related vertical line, and move the related vertical line horizontally left and right. The moving direction is from the area with a large mean value of spraying thickness to the direction associated with the area with a small mean value of spraying thickness. When the related vertical line moves to the absolute value of the mean value of the thickness associated with the two side areas reaches the minimum, it stops, and the current position of the related vertical line is determined;

[0021] After the position is determined, the intersection points of the relevant vertical lines and associated lines are confirmed, and the confirmed intersection points are marked as variable positioning points, so that the direct points of the warm area are aligned with the variable positioning points to lock the position of the warm area.

[0022] Preferably, the execution end controls the heating device based on the determined location of the heating area so that the heating area falls at the location and performs heating treatment on the surface of the defective parts.

[0023] The present invention provides an online monitoring and management system for coating production lines based on the Internet of Things. Compared with the prior art, it has the following beneficial effects:

[0024] The present invention acquires images of the painted parts to be painted on the painting production line, confirms the contours based on the acquired images, confirms the center points of the confirmed specific contours, and then proportionally reduces the edge contours based on the confirmed center points and edge contours, and ensures that the reduction distance associated with each reduction process belongs to the corresponding preset range, so as to lock the corresponding spraying route. This method of determining the spraying route fully considers the diffusion of the spraying liquid, can effectively ensure the uniform thickness of the overall spraying, and achieves a better spraying effect;

[0025] When performing heat treatment on defective parts, the positioning point of the heat treatment is confirmed based on the relevant thickness data of the spray coating on the surface of the defective parts. During the heat treatment, the positioning point is aligned with this point to achieve a better heat treatment effect, so that the related parts after spraying can achieve a uniform heat treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the principle framework of the present invention;

[0027] Figure 2 A schematic diagram associated with the process of reducing the profile of a coated part according to the present invention. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] First embodiment

[0030] See also Figure 1 , the present application provides an online monitoring and management system for a coating production line based on the Internet of Things, including a machine vision end, a spraying route determination end, a spraying thickness confirmation end, a warm area determination end and an execution end, wherein the machine vision end is electrically connected to an input node of the spraying route determination end, and the spraying route determination end is electrically connected to the spraying thickness confirmation end and the execution end input node respectively, and the spraying thickness confirmation end is electrically connected to the warm area determination end input node, wherein the spraying route determination end and the warm area determination end are both electrically connected to the execution end input node;

[0031] Among them, the machine vision end acquires the surface image of the painted part that needs to be painted on the painting production line, and transmits the acquired surface image of the painted part to the spray route determination end. When the painted part moves on the painting production line, it will pass through the designated machine vision acquisition point, and the acquisition device associated with the machine vision end will acquire the surface image of the painted part. The acquired surface image is the surface image of the specific area on the surface of the painted part to be sprayed;

[0032] Among them, the spraying route determination end confirms the relevant contour of the corresponding painted part surface based on the acquired painted part surface image, and then generates the spraying route belonging to this painted part based on the determined relevant contour and relevant preset data. Specifically, different relevant contours can identify different spraying routes, and the spraying routes are determined according to the surface contour of the corresponding painted part. Based on the different surface contours associated with different painted parts, the spraying routes of the corresponding painted parts are determined, and the surface of the painted part is sprayed based on the determined spraying route. The specific method of generating the spraying route belonging to this painted part is:

[0033] Based on the surface image of the coated part confirmed by the present coated part, an edge detection algorithm is used to confirm the image contour of the surface image of the coated part, and the image contour is calibrated as the coated part contour. Since the method of using the edge detection algorithm to confirm the contour is relatively common in the prior art, it will not be described in detail here. The edge monitoring algorithms such as Canny edge detection and Sobel edge detection are used to detect the edge in the image; these algorithms can determine the position of the edge by calculating the gradient of the image;

[0034] Based on the determined painted part contour, the painted part contour is placed in a set of two-dimensional coordinate systems, and based on a number of two-dimensional coordinates associated with relevant points of the painted part contour, a number of two-dimensional coordinates are averaged to determine the mean coordinates, the mean point is locked based on the determined mean coordinates, and the mean point is marked in the painted part contour as its center point. The painted part contour is composed of a number of points, and the composed points have corresponding point coordinates. After the existing several point coordinates are averaged, the corresponding mean coordinates can be determined, and the mean coordinates are the center point of the corresponding contour;

[0035] Based on the center point of the painted part contour, the edge point farthest from the center point is identified on the painted part contour, and a characteristic line is constructed between the center point and the edge point. If there are multiple edge points, a set of characteristic lines can be randomly determined.

[0036] Based on the set range data, the range data is preset data, which is determined in advance by the operator according to the spray range of the spray port and belongs to a range value, so that the contour of the painted part is proportionally reduced according to the determined center point, and the distance JL between the reduced contour and the same point of the original painted part contour belongs to the range data. In this way, the contour of the painted part is successively reduced, and in the process of reduction, it is ensured that the distance JL between the same point of the adjacent reduced contours belongs to the range data, and the reduced contour is calibrated as a characteristic contour. When the area of ​​the reduced characteristic contour is lower than Y1, the reduction process is stopped, wherein Y1 is a preset value, and its specific value is formulated by the operator based on experience;

[0037] Execute different reduction processes, and the JL corresponding to different reduction processes is different (that is, after completing a set of reduction processes, in order to achieve a better processing effect, the corresponding reduction process can be changed by changing JL), identify the closest distance LL between the innermost circle feature contour and the center point in different reduction processes, and determine the middle value ZJ of the range data, lock a set of reduction processes with the closest distance LL and ZJ values, and calibrate this reduction process as the standard process;

[0038] Based on the determined standard process and the different characteristic contours associated with the standard process, the contour lines associated with the different characteristic contours are calibrated as spray routes. The starting point of the spray route corresponds to the intersection of the characteristic contour and the characteristic line. A group of directions is randomly selected as the route travel direction. The several groups of spray routes determined by the coating part are consistent (there are only two groups of route travel directions, one group is forward and the other group is reverse). This method of determining the spray route fully considers the diffusion of the spray liquid, which can effectively ensure the uniform thickness of the overall spray and achieve a better spray effect.

[0039] Combined here Figure 2 understand: Figure 2 The painted part contour is relatively standard, so the painted part contour is reduced, and the relevant distance JL between the first group of reduced contours and the original painted part contour at the same point is determined, and according to the determined relevant distance JL, the painted part contour is reduced in sequence until the total area of ​​the innermost circle characteristic contour is lower than the set value Y2, completing the first group of reduction process, and the distance JL corresponding to this reduction process is proposed to be J1;

[0040] Then perform other reduction processes to determine different distance parameters;

[0041] Based on each different reduction process, the closest distance LL associated with the innermost circle feature contour and the center point can be determined, so that the best standard process can be locked to achieve better processing results.

[0042] The execution end controls the spraying equipment according to the spraying route determined for the painted part, so that the internal execution parts of the spraying equipment spray the painted part according to the determined spraying route, and mark the painted part after the spraying process as a defective part.

[0043] Second embodiment

[0044] In the specific implementation process of this embodiment, compared with the above-mentioned embodiment, this embodiment is mainly used for the relevant processing process of defective parts.

[0045] The spraying thickness confirmation end confirms the spraying thickness of the outer surface of the defective part. The spraying thickness of the outer surface of the defective part is scanned according to the set scanning device and the related value is confirmed. The scanning device can select the relevant light scanning device;

[0046] The warm area determination end determines the different spraying thicknesses associated with different points on the outer surface of the product and performs a correlation analysis of the spraying thickness based on the set center point, thereby determining the variable positioning point, aligning the direct point of the warm area with the variable positioning point, and locking the location of the warm area. The specific method of locking is:

[0047] Based on the confirmed center point of the defective part surface, a set of association lines passing through the center point is randomly generated, the endpoints of the association lines are located on the contour of the defective part surface, and the association lines are parallel to the horizontal plane;

[0048] Prioritize identifying the mean values ​​of the spraying thickness of the upper and lower areas of the correlation line, and move the correlation line horizontally up and down. The moving direction is from the area with a larger mean value of the spraying thickness to the area with a smaller mean value of the spraying thickness. When the correlation line moves to the point where the absolute value of the mean value of the thickness associated with the areas on both sides reaches the minimum, it stops, and the current position of the correlation line is determined.

[0049] Then construct a set of related vertical lines perpendicular to the associated line, the endpoints of which are also located on the contour of the defective part surface, identify the mean value of the spraying thickness of the left and right areas of the related vertical line, and move the related vertical line horizontally left and right. The moving direction is from the area with a large mean value of spraying thickness to the direction associated with the area with a small mean value of spraying thickness. When the related vertical line moves to the absolute value of the mean value of the thickness associated with the two side areas reaches the minimum, it stops, and the current position of the related vertical line is determined;

[0050] After the position is determined, the intersection points of the relevant vertical lines and associated lines are confirmed, and the confirmed intersection points are marked as variable positioning points, so that the direct points of the warm area are aligned with the variable positioning points to lock the position of the warm area.

[0051] Specifically, after the defective parts are confirmed, the associated center points of the defective parts are locked, and two groups of vertical lines passing through the associated center points are constructed, which are associated lines or associated vertical lines respectively, and the endpoints of the associated lines or associated vertical lines always fall on the surface contour of the corresponding defective parts. A group of associated lines is preferentially moved up and down, and based on the corresponding up and down movement process, the average thickness of the upper and lower areas is identified. When the difference between the average thickness of the upper and lower areas is reduced to the minimum, the position of the corresponding associated line is determined, and then the same method is used to control the relevant vertical lines to move left and right, and the position of the relevant vertical lines is locked. Then, the intersection point between the two groups of vertical lines is the relative center point of the surface thickness of the defective parts. The average spray thickness diffused from this relative center point to the surrounding area is basically in a consistent state. During warm heat treatment, alignment with this point can achieve a better warm heat treatment effect, so that the related parts after spraying can achieve a uniform warm effect.

[0052] Its execution end controls the heating equipment based on the determined location of the heating area, so that the heating area falls at the location and performs heating treatment on the surface of the defective parts.

[0053] Third embodiment

[0054] The specific implementation process of this embodiment includes the entire implementation process of the above two groups of embodiments.

[0055] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0056] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The online monitoring and management system of coating production line based on Internet of Things is characterized by: include: The machine vision end acquires the surface image of the painted part to be painted on the painting production line, and transmits the acquired surface image of the painted part to the spraying route determination end; The spraying route determination end determines the relevant contour of the corresponding painted part surface based on the acquired painted part surface image, and then generates the spraying route belonging to the painted part based on the determined relevant contour and relevant preset data; The execution end controls the spraying equipment according to the spraying route determined for the painted part, so that the internal execution parts of the spraying equipment spray the painted part according to the determined spraying route, and mark the painted part after the spraying process as a defective part.

2. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 1 is characterized in that: The specific method of generating the spraying route belonging to the coating part at the spraying route determination end is as follows: Based on the surface image of the painted part confirmed by the painted part, an edge detection algorithm is used to confirm the image contour of the surface image of the painted part and calibrate it as the painted part contour; Based on the determined painted part contour, the painted part contour is placed in a set of two-dimensional coordinate systems, and based on a number of two-dimensional coordinates associated with relevant points of the painted part contour, a number of two-dimensional coordinates are averaged to determine the mean coordinates, the mean point is locked based on the determined mean coordinates, and the mean point is marked in the painted part contour as its center point; Based on the center point of the painted part contour, an edge point farthest from the center point is identified on the painted part contour, and a feature connection line between the center point and the edge point is constructed; Based on the set range data, the range data is preset data, so that the contour of the painted part is proportionally reduced according to the determined center point, and the distance JL between the reduced contour and the same point of the original painted part contour belongs to the range data. In this way, the contour of the painted part is successively reduced, and in the reduction process, it is ensured that the distance JL between the same point of the adjacent reduced contours belongs to the range data, and the reduced contour is calibrated as a characteristic contour. When the area of ​​the reduced characteristic contour is less than Y1, the reduction process is stopped, where Y1 is a preset value; Execute different reduction processes, and the JL corresponding to different reduction processes are all different. Identify the closest distance LL between the innermost feature contour and the center point in different reduction processes, and determine the middle value ZJ of the range data. Lock a group of reduction processes with the closest distance LL and ZJ values, and calibrate this reduction process as the standard process; Based on the determined standard process and the different characteristic contours associated with this standard process, the contour lines associated with the different characteristic contours are calibrated as spray routes. The starting point of the spray route corresponds to the intersection of the characteristic contour and the characteristic line. A group of directions are randomly selected as the route travel direction. The several groups of spray routes determined for this coating part are all consistent.

3. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 2 is characterized in that: When there are multiple edge points that are farthest from the center point, a set of feature lines can be randomly determined.

4. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 1 is characterized in that: Also includes: The spray thickness confirmation end confirms the spray thickness of the outer surface of the defective part. The spray thickness of the outer surface of the defective part is scanned according to the set scanning equipment and the related values ​​are confirmed.

5. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 1 is characterized in that: Also includes: At the warm area determination end, based on the different spray thicknesses associated with different points on the outer surface of the product, and based on the set center point, a correlation analysis of the spray thickness is performed to determine the variable positioning point, align the direct point of the warm area with the variable positioning point, and lock the location of the warm area.

6. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 5 is characterized in that: The specific method of the warm area determination end to lock the location of the warm area is: Based on the confirmed center point of the defective part surface, a set of association lines passing through the center point is randomly generated, the endpoints of the association lines are located on the contour of the defective part surface, and the association lines are parallel to the horizontal plane; Prioritize identifying the mean values ​​of the spraying thickness of the upper and lower areas of the correlation line, and move the correlation line horizontally up and down. The moving direction is from the area with a larger mean value of the spraying thickness to the area with a smaller mean value of the spraying thickness. When the correlation line moves to the point where the absolute value of the mean value of the thickness associated with the areas on both sides reaches the minimum, it stops, and the current position of the correlation line is determined. Then construct a set of related vertical lines perpendicular to the associated line, the endpoints of which are also located on the contour of the defective part surface, identify the mean value of the spraying thickness of the left and right areas of the related vertical line, and move the related vertical line horizontally left and right. The moving direction is from the area with a large mean value of spraying thickness to the direction associated with the area with a small mean value of spraying thickness. When the related vertical line moves to the absolute value of the mean value of the thickness associated with the two side areas reaches the minimum, it stops, and the current position of the related vertical line is determined; After the position is determined, the intersection points of the relevant vertical lines and associated lines are confirmed, and the confirmed intersection points are marked as variable positioning points, so that the direct points of the warm area are aligned with the variable positioning points to lock the position of the warm area.

7. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 6 is characterized in that: The execution end controls the heating device based on the determined location of the heating area so that the heating area falls at the location and performs heating treatment on the surface of the defective parts.

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