Online Monitoring and Management System for Coating Production Line Based on Internet of Things

Abstract

The present invention discloses an online monitoring and management system for a painting production line based on the Internet of Things. The present invention relates to the technical field of painting production lines, and solves the problem that there is no way to determine the spraying route, resulting in the inability to perform spraying treatment on different painting parts. The present invention obtains images of the painting parts that need to be painted on the painting production line, confirms the contours based on the obtained images, then confirms the center points for the confirmed specific contours, and then based on the confirmed center points and edge contours, reduces the edge contours in equal proportion, and ensures that the reduction distances associated with each reduction process are within the corresponding preset ranges, so as to lock the corresponding spraying routes. This way 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.

Description

Technical Field

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

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

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

[0004] During the monitoring and management process of its painting production line, it generally performs painting treatment on specified painted parts based on the set relevant procedures, and records the corresponding painting parameters to monitor the painting production line and generate painting data of the corresponding painted parts during the painting process. However, the original method can only perform spraying treatment on a single and fixed painted part, and does not set a method for determining the spraying route, resulting in the inability to perform spraying treatment on different painted parts, and the coverage of the original painting production line still needs to be enhanced. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an online monitoring and management system for a painting 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 perform spraying treatment on different painted parts.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: An online monitoring and management system for a painting production line based on the Internet of Things, including:

[0007] A machine vision terminal, which 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 into the spraying route determination terminal;

[0008] The spraying route determination end, based on the acquired surface image of the painted part, confirms the relevant contours of the corresponding painted part surface, and then generates the spraying route belonging to this painted part based on the determined relevant contours and relevant preset data. The specific method is as follows:

[0009] Based on the surface image of the painted part confirmed for this painted part, use the edge detection algorithm to confirm the image contours of the surface image of the painted part and mark them as the painted part contours;

[0010] Based on the determined painted part contours, place these painted part contours in a two-dimensional coordinate system, and based on several two-dimensional coordinates associated with the relevant points of the painted part contours, perform an average processing on the several two-dimensional coordinates to determine the average coordinate. Based on the determined average coordinate, lock the average point position and mark this average point position within the painted part contour as its center point;

[0011] Based on the center point of this painted part contour, confirm the edge point farthest from the center point on the painted part contour and construct a characteristic connection line between the center point and the edge point. When there are multiple edge points farthest from the center point, randomly determine a set of characteristic connection lines;

[0012] Based on the set range data, which is preset data, make the painted part contour shrink proportionally according to the determined center point. The distance JL between the same point positions of the shrunk contour and the original painted part contour belongs to the range data. Use this method to shrink the painted part contour successively, and during the shrinking process, ensure that the distance JL between the same point positions of adjacent shrunk contours belongs to the range data. Mark the shrunk contour as the characteristic contour. When the area of the shrunk characteristic contour is lower than Y1, stop this shrinking process, where Y1 is a preset value;

[0013] Execute different shrinking processes, and the JL corresponding to different shrinking processes are all different. Identify the closest distance LL between the innermost characteristic contour and the center point during different shrinking processes, and determine the intermediate value ZJ of the range data. Lock a set of shrinking processes with the closest numerical values of the closest distance LL and ZJ, and mark this shrinking process as the standard process;

[0014] Based on the determined standard process and the different characteristic contours associated with this standard process, mark the contour lines associated with the different characteristic contours as the spraying routes. The starting point positions of the spraying routes correspond to the intersection points of the characteristic contours and the characteristic connection lines. Randomly select a set of directions as the route traveling directions, and the several sets of spraying routes determined for this painted part are all the same;

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

[0016] Preferably, it further includes: a spraying thickness confirmation end, which confirms the spraying thickness on the outer surface of the defective part, and scans and confirms the associated value of the post-drive of the spraying on the outer surface of the defective part according to the set scanning device.

[0017] Preferably, it further includes: a warm area determination end, which based on the different spraying thicknesses associated with different points on the outer surface of the defective part, and based on the set center point, conducts an associated analysis of the spraying thickness, 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 is as follows:

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

[0019] First, identify the average value of the spraying thickness in the areas above and below this associated line, and move the associated line horizontally up and down. The moving direction is from the area with a larger average value of the spraying thickness to the area associated with the side with a smaller average value of the spraying thickness. When the absolute value of the average value of the thickness associated with the two areas reaches the minimum value after the associated line moves, stop and determine the current position of the associated line;

[0020] Then, construct a set of relevant perpendicular lines perpendicular to the associated line. The endpoints of this relevant perpendicular line are also located on the contour of the surface of the defective part. Identify the average value of the spraying thickness in the areas on the left and right sides of this relevant perpendicular line, and move the relevant perpendicular line horizontally left and right. The moving direction is from the area with a larger average value of the spraying thickness to the area associated with the side with a smaller average value of the spraying thickness. When the absolute value of the average value of the thickness associated with the two areas reaches the minimum value after the relevant perpendicular line moves, stop and determine the current position of the relevant perpendicular line;

[0021] Confirm the intersection point of the relevant perpendicular line and the associated line after the position is determined, and mark the confirmed intersection point as 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.

[0022] Preferably, based on the determined location of the warm area, the execution end controls the warm device so that the warm area falls on the location, and conducts warm treatment on the surface of the defective part.

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

[0024] The present invention obtains images of painting parts to be painted on a painting production line, confirms the contours based on the obtained images, then confirms the center points for the confirmed specific contours, and based on the confirmed center points and edge contours, reduces the edge contours proportionally, ensuring that the reduction distances associated with each reduction process are within the corresponding preset ranges, thereby locking the corresponding spraying routes. This method of determining the spraying routes fully considers the diffusion of the spraying liquid, can effectively ensure the uniform thickness of the overall spraying, and achieves a good spraying effect;

[0025] When performing temperature and heat treatment on defective parts, based on the relevant thickness data sprayed on the surface of the defective parts, confirm the positioning points for temperature and heat treatment, so that when performing temperature and heat treatment, align with this point, which can achieve a good temperature and heat treatment effect, and enable the related parts after spraying to achieve a uniform warm 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 It is a schematic diagram related to the reduction process of the contour of the painting parts of the present invention. Detailed Embodiments

[0028] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0029] First Embodiment

[0030] Please refer to Figure 1 , this application provides an online monitoring and management system for a painting production line based on the Internet of Things, including a machine vision terminal, a spraying route determination terminal, a spraying thickness confirmation terminal, a warm area determination terminal, and an execution terminal. Among them, the machine vision terminal is electrically connected to the input node of the spraying route determination terminal, and the spraying route determination terminal is electrically connected to the input nodes of the spraying thickness confirmation terminal and the execution terminal respectively, and the spraying thickness confirmation terminal is electrically connected to the input node of the warm area determination terminal. Among them, both the spraying route determination terminal and the warm area determination terminal are electrically connected to the input node of the execution terminal;

[0031] Among them, on the machine vision side, the surface image of the painting part that needs to be painted on the painting production line is acquired, and the acquired surface image of the painting part is transmitted into the spraying route determination side. When the painting 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 side will acquire the surface image of this painting part. The acquired surface image is the surface image of the specific area to be sprayed on the surface of the painting part;

[0032] Among them, on the spraying route determination side, based on the acquired surface image of the painting part, the relevant contours of the corresponding painting part surface are confirmed, and then based on the determined relevant contours and relevant preset data, the spraying route belonging to this painting part is generated. Specifically, different relevant contours can identify different spraying routes. The spraying route is determined according to the surface contour of the corresponding spraying part. Based on the different surface contours associated with different spraying parts, the spraying routes of the corresponding spraying parts are determined, and the surface spraying treatment of the painting part is carried out based on the determined spraying route. The specific method for generating the spraying route belonging to this painting part is as follows:

[0033] Based on the confirmed surface image of the painting part of this painting part, the edge detection algorithm is used to confirm the image contour of the surface image of the painting part and calibrate it as the painting 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 elaborated here too much. The edge monitoring algorithms such as Canny edge detection and Sobel edge detection are used to detect the edges in the image; these algorithms can determine the positions of the edges by calculating the gradients of the images;

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

[0035] Based on the center point of this painting part contour, the edge point farthest from the center point is confirmed on the painting part contour, and the characteristic connection line between the center point and the edge point is constructed. If there are multiple edge points, a group of characteristic connection lines can be randomly determined;

[0036] Based on the set range data, which is preset data determined in advance by the operator according to the spraying range of the spraying port and belongs to a range value, the outline of the painted part is reduced proportionally according to the determined center point. The distance JL between the same point positions of the reduced outline and the original outline of the painted part belongs to the range data. In this way, the outline of the painted part is successively reduced, and during the reduction process, it is ensured that the distance JL between the same point positions of adjacent reduced outlines belongs to the range data. The reduced outline is marked as the characteristic outline. When the area of the reduced characteristic outline is lower than Y1, this reduction process is stopped, where Y1 is a preset value, and its specific value is determined by the operator according to 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 better processing effects, by changing JL, the corresponding reduction process can be changed). Identify the closest distance LL between the innermost characteristic outline and the center point in different reduction processes, and determine the intermediate value ZJ of the range data. Lock a set of reduction processes with the closest numerical values of the closest distance LL and ZJ, and mark this reduction process as the standard process;

[0038] Based on the determined standard process and the different characteristic outlines associated with this standard process, the contour lines associated with different characteristic outlines are marked as spraying routes. The starting point of the spraying route corresponds to the intersection point of the characteristic outline and the characteristic connection line. Randomly select a set of directions as the route traveling direction. The several sets of spraying routes determined for this painted part are all the same (there are only two sets of route traveling directions, one is the forward direction and the other is the reverse direction). This way of determining the spraying route fully considers the diffusion of the spraying liquid and can effectively ensure the uniform thickness of the overall spraying and achieve a better spraying effect;

[0039] Herein, in combination with Figure 2 Understand that: Figure 2 Among them, it belongs to a relatively standard outline of the painted part. The outline of the painted part is reduced, and the relevant distance JL between the same point positions of the first set of reduced outlines and the original outline of the painted part is determined. According to the determined relevant distance JL, the outline of the painted part is successively reduced until the total area of the innermost characteristic outline is lower than the set value Y2, and the first set of reduction processes is completed. The distance JL corresponding to this reduction process is designated as J1;

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

[0041] Based on each different reduction process, the closest distance LL between the innermost characteristic outline and the center point can be determined, and thus the best standard process can be locked to achieve better processing effects.

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

[0043] The second embodiment

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

[0045] The spraying thickness confirmation end confirms the spraying thickness on the outer surface of the defective part, scans and confirms the associated values for the post-spraying of the outer surface of the defective part according to the set scanning equipment, and the scanning equipment can select relevant light scanning equipment;

[0046] Its warm area determination end, based on the different spraying thicknesses associated with different points on the outer surface of this defective part, and based on the set center point, conducts an associated analysis of the spraying thickness, so as 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. Among them, the specific method for locking is:

[0047] Based on the center point confirmed on the surface of the defective part, randomly generate a set of associated lines passing through this center point. The endpoints of this associated line are located on the contour of the surface of the defective part, and the associated line is parallel to the horizontal plane;

[0048] First, identify the average values of the spraying thicknesses in the areas above and below this associated line, and move the associated line horizontally up and down. The moving direction is from the area with a larger average spraying thickness to the area with a smaller average spraying thickness. Stop when the absolute value of the average thicknesses associated with the two areas reaches the minimum value when the associated line moves, and determine the current position of the associated line;

[0049] Then construct a set of relevant perpendicular lines perpendicular to the associated line. The endpoints of this relevant perpendicular line are also located on the contour of the surface of the defective part. Identify the average values of the spraying thicknesses in the areas on the left and right sides of this relevant perpendicular line, and move the relevant perpendicular line horizontally left and right. The moving direction is from the area with a larger average spraying thickness to the area with a smaller average spraying thickness. Stop when the absolute value of the average thicknesses associated with the two areas reaches the minimum value when the relevant perpendicular line moves, and determine the current position of the relevant perpendicular line;

[0050] Confirm the intersection point of the relevant perpendicular line and the associated line after the position is determined, and mark the confirmed intersection point as 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.

[0051] Specifically, after the defective part is confirmed, lock the associated center point of the defective part, construct two sets of perpendicular lines passing through this associated center point, which are respectively the associated lines or relevant perpendicular lines, and the endpoints of the associated lines or relevant perpendicular lines always fall on the surface contour of the corresponding defective part. First, move one set of associated lines up and down, and based on the corresponding up and down movement process, identify the average thickness of the upper and lower regions. When the difference between the average thicknesses of the upper and lower regions drops to the lowest, determine the position of the corresponding associated line. Then, use the same method to control the relevant perpendicular lines to move left and right and lock the position of the relevant perpendicular lines. Then, the intersection point between the two sets of perpendicular lines is the relative center point with respect to the surface thickness of the defective part. The average spraying thickness values diffusing from this relative center point to the surrounding are basically in a consistent state. During the thermal treatment, aligning with this point can achieve a better thermal treatment effect, enabling the relevant parts after spraying to achieve a uniform warm effect.

[0052] Its execution end controls the thermal equipment based on the determined position of the warm region, so that the warm region falls on the corresponding position for thermal treatment of the surface of the defective part.

[0053] Third Embodiment

[0054] In the specific implementation process of this embodiment, it includes all the implementation processes of the above two sets of embodiments.

[0055] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0056] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced 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, specifically in the following manner: 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 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. 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: When there are multiple edge points that are farthest from the center point, a set of feature lines can be randomly determined.

3. 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.

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: 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.

5. The online monitoring and management system for coating production lines based on the Internet of Things according to claim 4 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.

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 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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