Coated abrasive tool production monitoring device and method based on machine vision

Abstract

The invention provides a coated abrasive tool production monitoring device and method based on machine vision, and the method comprises the steps: building a linkage control mechanism of a coated abrasive tool production line and the machine vision, obtaining a shot image of a coated abrasive tool based on the linkage control mechanism, and carrying out the analysis and recognition of the shot image based on machine learning. The method comprises the steps of determining the sand grain distribution condition of the surface of the abrasive paper in the coated abrasive tool, determining the production problem in the coated abrasive tool production line based on the sand grain distribution condition, and adjusting the production process in real time based on the production problem in combination with the production parameters of the coated abrasive tool production line, so that high-precision and real-time monitoring is realized; the distribution, overlapping and thickness problems of the sand grains can be accurately judged, adjustment can be carried out in real time in the production process, the phenomenon that the sand grains are overlapped or uneven is avoided, and the production quality is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment production monitoring, and in particular to a coated abrasive production monitoring device and method based on machine vision. Background Art

[0002] In the production process of abrasive cloth and sandpaper, after the glue is applied to the substrate and the sand is planted, the sand grains overlap unevenly due to various reasons. At this time, the substrate needs to be vibrated up and down to make the sand grains flow levelly on the substrate. During this process, the uniformity and thickness of the sand grains need to be monitored in real time to improve the flatness of the product.

[0003] By installing high-resolution cameras and sensors, the sandpaper surface is photographed in real time and analyzed by image processing software. These image processing software can identify the distribution of sand grains on the sandpaper surface, analyze whether the distribution of sand grains is uniform, and whether there are areas where sand grains overlap or are missing.

[0004] How to apply visual technology to production monitoring and achieve high-precision recognition is an issue that needs to be addressed urgently. Summary of the invention

[0005] The present invention provides a coated abrasive production monitoring device and method based on machine vision, which are used to solve the problems raised in the background technology.

[0006] A coated abrasive production monitoring device based on machine vision, comprising: A linkage module is used to establish a linkage control mechanism between the coated abrasive production line and machine vision, and obtain the photographed image of the coated abrasive based on the linkage control mechanism; A recognition module, for analyzing and identifying the captured image based on machine learning to determine the distribution of sand grains on the surface of the sandpaper in the coated abrasive; An analysis module for identifying production problems in coated abrasive production lines based on grit distribution; The adjustment module is used to make immediate adjustments to the production process based on production problems and combined with the production parameters of the coated abrasives production line.

[0007] Preferably, the linkage module includes: A data acquisition unit, used to determine the main linkage data based on the production data of the coated abrasive production line, and to determine the secondary linkage data based on the working data of the machine vision; A mechanism establishing unit, used to establish linkage rules based on the primary linkage data and the secondary linkage data, and to establish a linkage control mechanism based on the linkage rules; The photographing unit is used for photographing the coated abrasive production line based on the machine vision to obtain a photographed image of the coated abrasive based on the linkage control mechanism after detecting a triggering action of the machine vision.

[0008] Preferably, the mechanism establishing unit includes: A scene determination unit, used to obtain the associated attributes between the coated abrasive production line and the machine vision, and to establish a production process scene based on the main linkage data and in combination with the production template; an identification configuration unit, configured to determine a first association feature of the association attribute in the production process scenario, configure an identification for the scenario corresponding to the first association feature, and obtain a first linkage identification; an association determination unit, configured to establish, based on an image acquisition standard of a coated abrasive production line, data type of the secondary linkage data and shooting association information of a production template, establish a shooting scene based on the secondary linkage data, determine a second association feature of the association attribute in the shooting scene, configure an identifier for the scene corresponding to the second association feature, and obtain a second linkage identifier; an identification matching unit, configured to perform identification matching on the first linkage identification and the second linkage identification based on the associated attribute, obtain an identification matching result, and establish a type linkage rule based on the shooting associated information and the identification matching result; A value determination unit, configured to determine value matching information between the production data type and the shooting data type based on a preset shooting scene adjustment model and in combination with the production data type and the shooting data type in the type linkage rule; The mechanism determination unit is used to establish a linkage rule based on the type linkage rule and the value matching information, and to establish a control program based on the linkage rule to obtain a linkage control mechanism.

[0009] Preferably, the identification module includes: A model building unit for building a sand grain recognition model based on machine learning and historical production images; The image recognition unit is used to input the captured image into a sand grain recognition model to obtain the sand grain distribution on the surface of the sandpaper in the coated abrasive tool.

[0010] Preferably, the model building unit comprises: A marking unit, used for acquiring actual sand grain features in the historical production image, marking the actual sand grain features based on the standard sand grain features and the overlapping sand grain features, and generating a marking result image of the historical production image according to the marking result; A division unit, used for dividing the labeled result image based on the labeling result to obtain a normal image group and an abnormal image group; A training unit, used to train the machine model based on the normal image group and the abnormal image group respectively to obtain a first recognition model and a second recognition model; A verification unit, used to verify the first recognition model and the second recognition model respectively, obtain a first model accuracy and a second model accuracy, and set a first model structure weight of the first recognition model based on the first model accuracy, and set a second model structure weight of the second recognition model based on the second model accuracy; A fusion unit, configured to fuse the first recognition model and the second recognition model based on the first model structure weight and the second model structure weight to obtain an initial recognition model; The secondary training unit is used to perform secondary training on the initial recognition model by using the normal image group and the abnormal image group as training samples to obtain a sand grain recognition model.

[0011] Preferably, the secondary training unit comprises: A mixed training unit, used for mixing the normal image group and the abnormal image group as training samples, performing secondary training on the initial recognition model, and obtaining a training result; The optimization unit is used to perform structural optimization on the initial recognition model based on the training results until the latest training results meet the evaluation index requirements.

[0012] Preferably, the analysis module comprises: A distribution matching unit, used for matching the sand distribution with the sand production problem distribution to obtain a target sand production problem distribution with a matching degree greater than a preset matching degree; The integration unit is used to integrate the distribution of target sand production problems to obtain the production problems in the coated abrasive production line.

[0013] Preferably, the adjustment module includes: A parameter acquisition unit, used to acquire a production parameter type related to the production problem, and to acquire a production value of the production parameter type from the production parameters of the coated abrasive production line; an adjustment determination unit, for determining a parameter adjustment value for a production value of a production parameter type based on a degree of abnormality of the production problem; The instant adjustment unit is used to make instant adjustments to the production values ​​according to the parameter adjustment values, and to make online determinations based on the adjusted sand grain characteristics.

[0014] Preferably, the instant adjustment unit comprises: A monitoring and judging unit is used to obtain and judge whether the characteristics of the adjusted sand particles meet the process standard requirements; If yes, determine that the adjusted production parameters meet the production requirements, and produce the coated abrasives according to the adjusted production parameters; Otherwise, it is determined that the adjusted production parameters do not meet the production requirements, and the parameter adjustment values ​​are adjusted a second time, and the adjustment judgment process is repeated until the adjusted production parameters meet the production requirements.

[0015] A monitoring method of a coated abrasive production monitoring device based on machine vision, comprising: S1: The linkage control mechanism between the coated abrasive production line and machine vision, based on which the photographic images of the coated abrasives are obtained; S2: Analyze and identify the captured image based on machine learning to determine the distribution of sand grains on the surface of the sandpaper in the coated abrasive tool; S3: Identify production problems in coated abrasive production lines based on grit distribution; S4: Based on production issues and combined with the production parameters of the coated abrasive production line, the production process is adjusted immediately.

[0016] Compared with the prior art, the present invention has achieved the following beneficial effects: By establishing a linkage control mechanism between the coated abrasive production line and machine vision, based on the linkage control mechanism, the captured images of the coated abrasives are obtained, and the captured images are analyzed and identified based on machine learning to determine the distribution of sand grains on the surface of sandpaper in the coated abrasives. Based on the distribution of sand grains, the production problems in the coated abrasive production line are determined. Based on the production problems, combined with the production parameters of the coated abrasive production line, the production process is adjusted in real time to achieve high-precision, real-time monitoring, and can accurately judge the distribution, overlap and thickness of sand grains. Adjustments can be made in real time during the production process to avoid overlapping or uneven sand grains and ensure production quality.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0018] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural diagram of a coated abrasive production monitoring device based on machine vision in an embodiment of the present invention; Figure 2 is a structural diagram of the linkage module described in an embodiment of the present invention; Figure 3The figure is a flow chart of a method for monitoring the production of coated abrasives based on machine vision in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0021] Example 1 The embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, such as Figure 1 As shown, including: A linkage module is used to establish a linkage control mechanism between the coated abrasive production line and machine vision, and obtain the photographed image of the coated abrasive based on the linkage control mechanism; A recognition module, for analyzing and identifying the captured image based on machine learning to determine the distribution of sand grains on the surface of the sandpaper in the coated abrasive; An analysis module for identifying production problems in coated abrasive production lines based on grit distribution; The adjustment module is used to make immediate adjustments to the production process based on production problems and combined with the production parameters of the coated abrasives production line.

[0022] In this embodiment, the coated abrasive production line is an abrasive cloth and sandpaper production process.

[0023] In this embodiment, the captured image of the coated abrasive is an image of the surface of the emery cloth or sandpaper.

[0024] In this embodiment, the production problem is, for example, that the uniformity and thickness of the sand particles do not meet the production standards.

[0025] In this embodiment, the real-time adjustment of the production process includes the adjustment of parameters, the time and frequency of the adjustment, etc.

[0026] The beneficial effects of the above design scheme are: by establishing a linkage control mechanism between the coated abrasive production line and machine vision, based on the linkage control mechanism, the captured image of the coated abrasive is obtained, the captured image is analyzed and identified based on machine learning, and the distribution of sand grains on the surface of sandpaper in the coated abrasive is determined. Based on the distribution of sand grains, the production problems in the coated abrasive production line are determined. Based on the production problems, combined with the production parameters of the coated abrasive production line, the production process is adjusted in real time to achieve high-precision and real-time monitoring, and the distribution, overlap and thickness of sand grains can be accurately judged. Adjustments can be made in real time during the production process to avoid overlapping or uneven sand grains and ensure production quality.

[0027] Example 2 Based on Example 1, the present invention provides a coated abrasive production monitoring device based on machine vision, such as Figure 2 As shown, the linkage module includes: A data acquisition unit, used to determine the main linkage data based on the production data of the coated abrasive production line, and to determine the secondary linkage data based on the working data of the machine vision; A mechanism establishing unit, used to establish linkage rules based on the primary linkage data and the secondary linkage data, and to establish a linkage control mechanism based on the linkage rules; The photographing unit is used for photographing the coated abrasive production line based on the machine vision to obtain a photographed image of the coated abrasive based on the linkage control mechanism after detecting a triggering action of the machine vision.

[0028] In this embodiment, the main linkage data includes the operation data of the coated abrasive production line, the status data of the coated abrasive and other data about the production process. In this embodiment, the secondary linkage data is data related to the machine vision, such as the position of the machine vision and the shooting angle.

[0029] The beneficial effect of the above design scheme is: by determining the main linkage data based on the production data of the coated abrasive production line, determining the secondary linkage data based on the working data of the machine vision, establishing linkage rules based on the main linkage data and the secondary linkage data, and establishing a linkage control mechanism based on the linkage rules, based on the linkage control mechanism, when the triggering action of the machine vision is detected, the coated abrasive production line is photographed based on the machine vision to obtain the photographed image of the coated abrasive, thereby realizing the image acquisition of the coated abrasive production process, and providing an image basis for the production monitoring of the coated abrasive.

[0030] Example 3 Based on Example 2, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the mechanism establishment unit includes: A scene determination unit, used to obtain the associated attributes between the coated abrasive production line and the machine vision, and to establish a production process scene based on the main linkage data and in combination with the production template; an identification configuration unit, configured to determine a first association feature of the association attribute in the production process scenario, configure an identification for the scenario corresponding to the first association feature, and obtain a first linkage identification; an association determination unit, configured to establish, based on an image acquisition standard of a coated abrasive production line, data type of the secondary linkage data and shooting association information of a production template, establish a shooting scene based on the secondary linkage data, determine a second association feature of the association attribute in the shooting scene, configure an identifier for the scene corresponding to the second association feature, and obtain a second linkage identifier; an identification matching unit, configured to perform identification matching on the first linkage identification and the second linkage identification based on the associated attribute, obtain an identification matching result, and establish a type linkage rule based on the shooting associated information and the identification matching result; A value determination unit, configured to determine value matching information between the production data type and the shooting data type based on a preset shooting scene adjustment model and in combination with the production data type and the shooting data type in the type linkage rule; The mechanism determination unit is used to establish a linkage rule based on the type linkage rule and the value matching information, and to establish a control program based on the linkage rule to obtain a linkage control mechanism.

[0031] In this embodiment, the associated attribute is, for example, that when the coated abrasive is produced to a certain position or a certain form, it can be photographed by machine vision.

[0032] In this embodiment, the type linkage rule is, for example, association of the position data of the coated abrasive with the startup data of the machine vision.

[0033] In this embodiment, the value matching information is, for example, the value of the explicit position data and the value of the startup data of the machine vision.

[0034] In this embodiment, the production template is determined according to the coated abrasive production process.

[0035] In this embodiment, the preset shooting scene adjustment model is used to determine the shooting effect under the specific value of the data type.

[0036] The beneficial effect of the above design scheme is: by establishing linkage rules based on the main linkage data and the secondary linkage data, the association attributes between the coated abrasive production line and the machine vision are considered during the establishment process, the data type of the secondary linkage data and the shooting association information of the production template, the preset shooting scene adjustment model and other factors are used to establish the rules, and finally the control program is established based on the linkage rules to obtain the linkage control mechanism, ensure the accuracy of the obtained linkage control mechanism, ensure the integrity and comprehensiveness of the production monitoring of coated abrasives based on machine vision, and provide a basis for obtaining high-quality captured images.

[0037] Example 4 Based on Example 1, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the recognition module comprises: A model building unit for building a sand grain recognition model based on machine learning and historical production images; The image recognition unit is used to input the captured image into a sand grain recognition model to obtain the sand grain distribution on the surface of the sandpaper in the coated abrasive tool.

[0038] The beneficial effect of the above design scheme is: by inputting the captured image into the image sand recognition model based on machine learning and historical production images, the sand distribution on the surface of the sandpaper in the coated abrasive is obtained, which provides a basis for the identification of sand distribution, overlap and thickness problems.

[0039] Example 5 Based on Example 4, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the model building unit comprises: A marking unit, used for acquiring actual sand grain features in the historical production image, marking the actual sand grain features based on the standard sand grain features and the overlapping sand grain features, and generating a marking result image of the historical production image according to the marking result; A division unit, used for dividing the labeled result image based on the labeling result to obtain a normal image group and an abnormal image group; A training unit, used to train the machine model based on the normal image group and the abnormal image group respectively to obtain a first recognition model and a second recognition model; A verification unit, used to verify the first recognition model and the second recognition model respectively, obtain a first model accuracy and a second model accuracy, and set a first model structure weight of the first recognition model based on the first model accuracy, and set a second model structure weight of the second recognition model based on the second model accuracy; A fusion unit, configured to fuse the first recognition model and the second recognition model based on the first model structure weight and the second model structure weight to obtain an initial recognition model; The secondary training unit is used to perform secondary training on the initial recognition model by using the normal image group and the abnormal image group as training samples to obtain a sand grain recognition model.

[0040] In this embodiment, the higher the accuracy of the first model, the lower the corresponding first model structure weight; the higher the accuracy of the second model, the lower the corresponding second model structure weight.

[0041] The beneficial effects of the above design scheme are as follows: by acquiring the actual sand grain features in the historical production image, the actual sand grain features are marked based on the standard sand grain features and the overlapping sand grain features, and a marking result image of the historical production image is generated according to the marking result; based on the marking result, the marking result image is divided to obtain a normal image group and an abnormal image group; based on the normal image group and the abnormal image group, the machine model is trained respectively to obtain a first recognition model and a second recognition model; the first recognition model and the second recognition model are verified respectively to obtain a first model accuracy and a second model accuracy, and a first model structure weight of the first recognition model is set based on the first model accuracy, and a second model structure weight of the second recognition model is set based on the second model accuracy; the first recognition model and the second recognition model are fused based on the first model structure weight and the second model structure weight to obtain an initial recognition model, and the model is initially established to ensure that the obtained model meets the recognition capabilities of different image features, and finally the normal image group and the abnormal image group are used as training samples to perform secondary training on the initial recognition model to obtain a sand grain recognition model, further ensuring the model accuracy, achieving high-precision and real-time monitoring, and being able to accurately judge the distribution, overlap and thickness of sand grains.

[0042] Example 6 Based on Example 5, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the secondary training unit comprises: A mixed training unit, used for mixing the normal image group and the abnormal image group as training samples, performing secondary training on the initial recognition model, and obtaining a training result; The optimization unit is used to perform structural optimization on the initial recognition model based on the training results until the latest training results meet the evaluation index requirements.

[0043] In this embodiment, the evaluation index requirements include accuracy, recall rate, F1 score, etc., and the specific values ​​are set in advance.

[0044] The beneficial effect of the above design scheme is: by mixing the normal image group and the abnormal image group as training samples, the initial recognition model is trained twice to obtain training results, and the structure of the initial recognition model is optimized based on the training results until the latest training results meet the evaluation index requirements, thereby ensuring that the model performance of the obtained sand grain recognition model is optimal.

[0045] Example 7 Based on Example 1, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the analysis module comprises: A distribution matching unit, used for matching the sand distribution with the sand production problem distribution to obtain a target sand production problem distribution with a matching degree greater than a preset matching degree; The integration unit is used to integrate the distribution of target sand production problems to obtain the production problems in the coated abrasive production line.

[0046] In this embodiment, the distribution of sand production problems includes, for example, uniformity not meeting requirements, thickness not meeting requirements, and the like.

[0047] In this embodiment, there may be multiple target sand production problem distribution situations.

[0048] The beneficial effect of the above design scheme is: by matching the sand grain distribution with the sand grain production problem distribution, obtaining the target sand grain production problem distribution with a matching degree greater than the preset matching degree, integrating the target sand grain production problem distribution, obtaining the production problems in the coated abrasive production line, and realizing accurate judgment of the distribution, overlap and thickness problems of the sand grains.

[0049] Example 8 Based on Example 1, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the adjustment module comprises: A parameter acquisition unit, used to acquire a production parameter type related to the production problem, and to acquire a production value of the production parameter type from the production parameters of the coated abrasive production line; an adjustment determination unit, for determining a parameter adjustment value for a production value of a production parameter type based on a degree of abnormality of the production problem; The instant adjustment unit is used to make instant adjustments to the production values ​​according to the parameter adjustment values, and to make online determinations based on the adjusted sand grain characteristics.

[0050] The beneficial effect of the above design scheme is: by obtaining the production parameter type related to the production problem and obtaining the production value of the production parameter type from the production parameters of the coated abrasive production line, based on the abnormality of the production problem, the parameter adjustment value of the production value of the production parameter type is determined, the production value is adjusted immediately according to the parameter adjustment value, and the adjusted sand grain characteristics are determined online to achieve immediate adjustment in the production process, avoid overlapping or uneven sand grains, and ensure production quality.

[0051] Example 9 Based on Example 8, the embodiment of the present invention provides a coated abrasive production monitoring device based on machine vision, wherein the instant adjustment unit comprises: A monitoring and judging unit is used to obtain and judge whether the characteristics of the adjusted sand particles meet the process standard requirements; If yes, determine that the adjusted production parameters meet the production requirements, and produce the coated abrasives according to the adjusted production parameters; Otherwise, it is determined that the adjusted production parameters do not meet the production requirements, and the parameter adjustment values ​​are adjusted a second time, and the adjustment judgment process is repeated until the adjusted production parameters meet the production requirements.

[0052] The beneficial effect of the above design scheme is: by obtaining and judging whether the characteristics of the adjusted sand particles meet the process standard requirements; if so, determining that the adjusted production parameters meet the production requirements, and producing coated abrasives according to the adjusted production parameters; otherwise, determining that the adjusted production parameters meet the production requirements, and making a secondary adjustment to the parameter adjustment values, and cyclically performing the adjustment and judgment process until the adjusted production parameters meet the production requirements, thereby achieving real-time monitoring, adjustment and judgment of the production process and ensuring production quality.

[0053] Embodiment 10: Based on Example 1, the embodiment of the present invention provides a monitoring method of a coated abrasive production monitoring device based on machine vision, comprising: S1: The linkage control mechanism between the coated abrasive production line and machine vision, based on which the photographic images of the coated abrasives are obtained; S2: Analyze and identify the captured image based on machine learning to determine the distribution of sand grains on the surface of the sandpaper in the coated abrasive tool; S3: Identify production problems in coated abrasive production lines based on grit distribution; S4: Based on production issues and combined with the production parameters of the coated abrasive production line, the production process is adjusted immediately.

[0054] In this embodiment, the coated abrasive production line is an abrasive cloth and sandpaper production process.

[0055] In this embodiment, the captured image of the coated abrasive is an image of the surface of the emery cloth or sandpaper.

[0056] In this embodiment, the production problem is, for example, that the uniformity and thickness of the sand particles do not meet the production standards.

[0057] In this embodiment, the real-time adjustment of the production process includes the adjustment of parameters, the time and frequency of the adjustment, etc.

[0058] The beneficial effects of the above design scheme are: by establishing a linkage control mechanism between the coated abrasive production line and machine vision, based on the linkage control mechanism, the captured image of the coated abrasive is obtained, the captured image is analyzed and identified based on machine learning, and the distribution of sand grains on the surface of sandpaper in the coated abrasive is determined. Based on the distribution of sand grains, the production problems in the coated abrasive production line are determined. Based on the production problems, combined with the production parameters of the coated abrasive production line, the production process is adjusted in real time to achieve high-precision and real-time monitoring, and the distribution, overlap and thickness of sand grains can be accurately judged. Adjustments can be made in real time during the production process to avoid overlapping or uneven sand grains and ensure production quality.

[0059] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of this application document and its equivalent technology, the present invention is also intended to include these changes and variations.

Claims

1. A coated abrasive production monitoring device based on machine vision, characterized in that: include: A linkage module is used to establish a linkage control mechanism between the coated abrasive production line and machine vision, and obtain the photographed image of the coated abrasive based on the linkage control mechanism; A recognition module, for analyzing and identifying the captured image based on machine learning to determine the distribution of sand grains on the surface of the sandpaper in the coated abrasive; An analysis module for identifying production problems in coated abrasive production lines based on grit distribution; The adjustment module is used to make immediate adjustments to the production process based on production problems and combined with the production parameters of the coated abrasives production line.

2. The coated abrasive production monitoring device based on machine vision according to claim 1, characterized in that: The linkage module comprises: A data acquisition unit, used to determine the main linkage data based on the production data of the coated abrasive production line, and to determine the secondary linkage data based on the working data of the machine vision; A mechanism establishing unit, used to establish linkage rules based on the primary linkage data and the secondary linkage data, and to establish a linkage control mechanism based on the linkage rules; The photographing unit is used for photographing the coated abrasive production line based on the machine vision to obtain a photographed image of the coated abrasive based on the linkage control mechanism after detecting a triggering action of the machine vision.

3. The coated abrasive production monitoring device based on machine vision according to claim 2, characterized in that: The mechanism establishment unit comprises: A scene determination unit, used to obtain the associated attributes between the coated abrasive production line and the machine vision, and to establish a production process scene based on the main linkage data and in combination with the production template; an identification configuration unit, configured to determine a first association feature of the association attribute in the production process scenario, configure an identification for the scenario corresponding to the first association feature, and obtain a first linkage identification; an association determination unit, configured to establish, based on an image acquisition standard of a coated abrasive production line, data type of the secondary linkage data and shooting association information of a production template, establish a shooting scene based on the secondary linkage data, determine a second association feature of the association attribute in the shooting scene, configure an identifier for the scene corresponding to the second association feature, and obtain a second linkage identifier; an identification matching unit, configured to perform identification matching on the first linkage identification and the second linkage identification based on the associated attribute, obtain an identification matching result, and establish a type linkage rule based on the shooting associated information and the identification matching result; A value determination unit, configured to determine value matching information between the production data type and the shooting data type based on a preset shooting scene adjustment model and in combination with the production data type and the shooting data type in the type linkage rule; The mechanism determination unit is used to establish a linkage rule based on the type linkage rule and the value matching information, and to establish a control program based on the linkage rule to obtain a linkage control mechanism.

4. The coated abrasive production monitoring device based on machine vision according to claim 1, characterized in that: The identification module comprises: A model building unit for building a sand grain recognition model based on machine learning and historical production images; The image recognition unit is used to input the captured image into a sand grain recognition model to obtain the sand grain distribution on the surface of the sandpaper in the coated abrasive tool.

5. The coated abrasive production monitoring device based on machine vision according to claim 4, characterized in that: The model building unit comprises: A marking unit, used for acquiring actual sand grain features in the historical production image, marking the actual sand grain features based on the standard sand grain features and the overlapping sand grain features, and generating a marking result image of the historical production image according to the marking result; A division unit, used for dividing the labeled result image based on the labeling result to obtain a normal image group and an abnormal image group; A training unit, used to train the machine model based on the normal image group and the abnormal image group respectively to obtain a first recognition model and a second recognition model; A verification unit, used to verify the first recognition model and the second recognition model respectively, obtain a first model accuracy and a second model accuracy, and set a first model structure weight of the first recognition model based on the first model accuracy, and set a second model structure weight of the second recognition model based on the second model accuracy; A fusion unit, configured to fuse the first recognition model and the second recognition model based on the first model structure weight and the second model structure weight to obtain an initial recognition model; The secondary training unit is used to perform secondary training on the initial recognition model by using the normal image group and the abnormal image group as training samples to obtain a sand grain recognition model.

6. The coated abrasive production monitoring device based on machine vision according to claim 5, characterized in that: Secondary training unit, including: A mixed training unit, used for mixing the normal image group and the abnormal image group as training samples, performing secondary training on the initial recognition model, and obtaining a training result; The optimization unit is used to perform structural optimization on the initial recognition model based on the training results until the latest training results meet the evaluation index requirements.

7. The coated abrasive production monitoring device based on machine vision according to claim 1, characterized in that: The analysis module comprises: A distribution matching unit, used for matching the sand distribution with the sand production problem distribution to obtain a target sand production problem distribution with a matching degree greater than a preset matching degree; The integration unit is used to integrate the distribution of target sand production problems to obtain the production problems in the coated abrasive production line.

8. The coated abrasive production monitoring device based on machine vision according to claim 1, characterized in that: The adjustment module comprises: A parameter acquisition unit, used to acquire a production parameter type related to the production problem, and to acquire a production value of the production parameter type from the production parameters of the coated abrasive production line; an adjustment determination unit, for determining a parameter adjustment value for a production value of a production parameter type based on a degree of abnormality of the production problem; The instant adjustment unit is used to make instant adjustments to the production values ​​according to the parameter adjustment values, and to make online determinations based on the adjusted sand grain characteristics.

9. The coated abrasive production monitoring device based on machine vision according to claim 8, characterized in that: The instant adjustment unit comprises: A monitoring and judging unit is used to obtain and judge whether the characteristics of the adjusted sand particles meet the process standard requirements; If yes, determine that the adjusted production parameters meet the production requirements, and produce the coated abrasives according to the adjusted production parameters; Otherwise, it is determined that the adjusted production parameters do not meet the production requirements, and the parameter adjustment values ​​are adjusted a second time, and the adjustment judgment process is repeated until the adjusted production parameters meet the production requirements.

10. The monitoring method of the coated abrasive production monitoring device based on machine vision according to claim 1, characterized in that: include: S1: The linkage control mechanism between the coated abrasive production line and machine vision, based on which the photographic images of the coated abrasives are obtained; S2: Analyze and identify the captured image based on machine learning to determine the distribution of sand grains on the surface of the sandpaper in the coated abrasive tool; S3: Identify production problems in coated abrasive production lines based on grit distribution; S4: Based on production issues and combined with the production parameters of the coated abrasive production line, the production process is adjusted immediately.

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