CN117893544A - Multi-class data evaluation monitoring method for suction materials of reinforcing machine - Google Patents
Multi-class data evaluation monitoring method for suction materials of reinforcing machine Download PDFInfo
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Abstract
The invention relates to the field of reinforcement machine process production data evaluation and monitoring, in particular to a multi-class data evaluation and monitoring method for reinforcement machine suction materials, which comprises the following steps: s1, obtaining a preliminary comparison result of a real-time monitoring image by using the real-time monitoring image of the material sucking of the reinforcing machine; s2, carrying out regional division processing by utilizing the real-time monitoring image of the suction material of the reinforcing machine to obtain regional image evaluation monitoring characteristics; s3, acquiring multiple kinds of data evaluation monitoring results by utilizing the preliminary comparison results and the regional image evaluation monitoring characteristics of the real-time monitoring images, and performing superposition processing on pixels and gray values of the real-time and historical images to rapidly analyze and process the real-time images, so that the rapid implementation thought of image data analysis, evaluation and final problem tracing is considered, meanwhile, in order to ensure the accuracy of analysis and judgment, the data source singleness is avoided, the images are segmented and independently processed, and the problem searching and the scheme self logic calibration are facilitated.
Description
Technical Field
The invention relates to the field of reinforcement machine process production data evaluation and monitoring, in particular to a multi-class data evaluation and monitoring method for reinforcement machine suction materials.
Background
The reinforcement machine is equipment with high automation degree, is mainly used on an FPC flexible circuit board, can realize high laminating precision and quick machining efficiency, but for real-time image monitoring in process production, because dislocation superposition possibly exists in the feeding process or a suction head is provided with materials, two materials are misplaced and sucked on a suction head after secondary material taking, and poor laminating is caused, so that a feasible real-time image analysis and evaluation scheme for the suction material level of the reinforcement machine is needed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-class data evaluation monitoring method for the suction materials of a reinforcing machine, which is used for rapidly analyzing the state of a real-time image and outputting an accurate analysis result through the comprehensive feature comparison screening of the real-time image and a historical image.
In order to achieve the above purpose, the present invention provides a method for evaluating and monitoring various kinds of data for suction materials of a reinforcing machine, comprising:
S1, obtaining a preliminary comparison result of a real-time monitoring image by using the real-time monitoring image of the material sucking of the reinforcing machine;
S2, carrying out regional division processing by utilizing the real-time monitoring image of the suction material of the reinforcing machine to obtain regional image evaluation monitoring characteristics;
And S3, acquiring multi-kind data evaluation monitoring results by utilizing the preliminary comparison result of the real-time monitoring image and the regional image evaluation monitoring characteristics.
Preferably, the preliminary comparison result of the real-time monitoring image obtained by using the real-time monitoring image of the material sucking of the reinforcing machine comprises:
S1-1, collecting a real-time monitoring image of suction materials of a reinforcing machine;
s1-2, acquiring a historical monitoring image corresponding to the suction material of the reinforcing machine according to the real-time monitoring image of the suction material of the reinforcing machine, and establishing a historical monitoring image database of the suction material of the reinforcing machine;
s1-3, acquiring image basic data of each history monitoring image in a history monitoring image database of the material sucking of the reinforcing machine, and establishing a history monitoring image tag library of the material sucking of the reinforcing machine;
s1-4, obtaining a preliminary comparison result of the real-time monitoring image by utilizing the real-time monitoring image, the historical monitoring image database and the historical monitoring image tag library of the suction material of the reinforcing machine;
wherein the image base data includes image pixels and image gray values.
Further, the preliminary comparison result of the real-time monitoring image obtained by utilizing the real-time monitoring image, the historical monitoring image database and the historical monitoring image tag library of the suction material of the reinforcing machine comprises:
Acquiring image pixels and image gray values of a real-time monitoring image of the suction material of the reinforcement machine as a first label of the real-time monitoring image and a second label of the real-time monitoring image respectively;
Acquiring the same historical monitoring image in a historical monitoring image database of the material suction of the reinforcing machine based on PSNR by using the real-time monitoring image of the material suction of the reinforcing machine as a reference historical monitoring image;
acquiring image pixels and image gray values of the reference historical monitoring image as a first historical monitoring image label and a second historical monitoring image label respectively;
acquiring a reference historical monitoring image, of which the first label of the historical monitoring image is the same as that of the first label of the real-time monitoring image, as an initial screening reference historical monitoring image;
And acquiring an initial screening reference historical monitoring image with the same second label of the historical monitoring image of the initial screening reference historical monitoring image as the second label of the real-time monitoring image as a preliminary comparison result of the real-time monitoring image.
Further, the method for obtaining the regional image evaluation monitoring feature by carrying out regional division processing on the real-time monitoring image of the suction material of the reinforcing machine comprises the following steps:
s2-1, respectively acquiring a main material absorbing area and a secondary background area according to the real-time monitoring image of the material absorbing of the reinforcing machine;
s2-2, establishing a main suction fluctuation area characteristic corresponding to a main suction area by utilizing the real-time monitoring image;
S2-3, establishing secondary background coverage area features corresponding to the secondary background areas by utilizing the real-time monitoring images;
S2-4, utilizing the primary suction fluctuation area characteristic and the secondary background coverage area characteristic as area image evaluation monitoring characteristics;
the main material absorbing area corresponds to a material area of the material absorbed by the reinforcing machine, and the secondary background area corresponds to an area outside the material area absorbed by the reinforcing machine.
Further, establishing the main suction fluctuation region feature corresponding to the main suction region by using the real-time monitoring image comprises:
s2-2-1, acquiring real-time monitoring image pixel point data of the main suction area corresponding to the real-time monitoring image;
S2-2-2, acquiring an area boundary of the main suction area corresponding to the real-time monitoring image to establish real-time monitoring image edge data;
S2-2-3, judging whether the real-time monitoring image edge data has a discontinuous edge, if so, using the real-time monitoring image pixel point data of the real-time monitoring image edge data corresponding to the discontinuous edge and the main suction area as the main suction fluctuation area characteristics, otherwise, using the real-time monitoring image edge data corresponding to the real-time monitoring image edge data and the real-time monitoring image pixel point data as the main suction fluctuation area characteristics.
Further, establishing secondary background coverage area features corresponding to the secondary background areas by using the real-time monitoring images comprises:
s2-3-1, obtaining texture features of a secondary background area corresponding to the secondary background area of the real-time monitoring image;
S2-3-2, judging whether the texture features of the secondary background areas are different, if yes, acquiring the texture features of the secondary background areas with the different conditions as secondary background coverage area features, otherwise, utilizing the texture features of the secondary background areas corresponding to the adjacent areas of the secondary background areas and the primary suction areas as secondary background coverage area features.
Further, the obtaining the multi-kind data evaluation monitoring result by utilizing the preliminary comparison result of the real-time monitoring image and the regional image evaluation monitoring feature comprises the following steps:
S3-1, acquiring multiple kinds of evaluation monitoring results of the suction areas by utilizing the preliminary comparison result of the real-time monitoring image and main suction fluctuation area characteristics corresponding to the area image evaluation monitoring characteristics;
s3-2, obtaining a background area multi-type evaluation monitoring result by utilizing the preliminary comparison result of the real-time monitoring image and the secondary background coverage area characteristic corresponding to the area image evaluation monitoring characteristic;
s3-3, utilizing the multi-type evaluation monitoring results of the material sucking area and the multi-type evaluation monitoring results of the background area to obtain multi-type data evaluation monitoring results.
Further, the obtaining the suction area multi-type evaluation monitoring result by utilizing the preliminary comparison result of the real-time monitoring image and the main suction fluctuation area characteristic corresponding to the area image evaluation monitoring characteristic comprises the following steps:
S3-1-1, judging whether the preliminary comparison result of the real-time monitoring image corresponds to the pixel point data of the real-time monitoring image corresponding to the main suction fluctuation area characteristic of the area image evaluation monitoring characteristic, if so, acquiring the preliminary comparison result of the corresponding real-time monitoring image as an initial judging image of the suction area, executing S3-1-2, otherwise, returning to S1-2;
S3-1-2, judging whether a discontinuous edge exists in the area image evaluation monitoring feature corresponding to the main material suction fluctuation area feature, if yes, executing S3-1-3, otherwise, executing S3-1-4;
S3-1-3, judging whether main suction area corresponding pixels of an initial judgment image of the suction area are consistent with non-continuous edge corresponding pixels, if so, using the initial judgment image of the suction area as a suction area multi-kind evaluation monitoring result, otherwise, returning to S2-2-1;
S3-1-4, judging whether the initial judging image of the suction area corresponds to the main suction area, if yes, deleting the post repeated initial judging image, and taking the initial judging image of the current suction area as a suction area multi-type evaluation monitoring result, otherwise, taking the initial judging image of the suction area as the suction area multi-type evaluation monitoring result.
Further, the obtaining a background area multi-category evaluation monitoring result by using the preliminary comparison result of the real-time monitoring image and the secondary background coverage area characteristic corresponding to the area image evaluation monitoring characteristic comprises the following steps:
s3-2-1, judging whether the secondary background coverage area features corresponding to the area image evaluation monitoring features are all positioned in the non-segmentation adjacent areas corresponding to the preliminary comparison result of the real-time monitoring image, if so, executing S3-2-2, otherwise, returning to S2-3-2;
s3-2-2, judging whether the secondary background coverage area features corresponding to the area image evaluation monitoring features have position repetition, if so, deleting the secondary background coverage area features which are repeated later, using the secondary background coverage area features corresponding to the current area image evaluation monitoring features as background area multi-type evaluation monitoring results, otherwise, using the secondary background coverage area features corresponding to the area image evaluation monitoring features as background area multi-type evaluation monitoring results;
the adjacent areas are adjacent areas of the secondary background area and the main absorbing area.
Further, the obtaining the multi-kind data evaluation monitoring result by using the suction area multi-kind evaluation monitoring result and the background area multi-kind evaluation monitoring result comprises:
s3-1, judging whether homologous images exist in the suction area multi-type evaluation monitoring results and the background area multi-type evaluation monitoring results at the same time, if so, executing S3-2, otherwise, directly executing S3-4;
s3-2, judging whether the image pixels corresponding to the homologous images are consistent with the image pixels corresponding to the real-time monitoring image of the suction material of the reinforcing machine, if so, executing S3-3, otherwise, directly executing S3-4;
S3-3, judging whether the gray value of the image corresponding to the homologous image is consistent with the gray value of the image corresponding to the real-time monitoring image of the material sucking of the reinforcing machine, if so, outputting a plurality of types of evaluation monitoring results of the current material sucking area and a plurality of types of evaluation monitoring results of the background area, and if not, executing S3-4;
S3-4, judging whether the real-time monitoring image of the material sucking of the reinforcing machine, the multiple kinds of evaluation monitoring results of the material sucking area and the multiple kinds of evaluation monitoring results of the background area are all provided with corresponding images, if yes, the multiple kinds of data evaluation monitoring results are normal, updating the current moment, returning to S1, otherwise, the multiple kinds of data evaluation monitoring results are abnormal, and outputting the main material sucking fluctuation area characteristics and the secondary background coverage area characteristics with the corresponding images;
the homologous images are images of which the same image corresponds to the evaluation and monitoring results of the suction areas and the background areas.
Compared with the closest prior art, the invention has the following beneficial effects:
The real-time image is rapidly analyzed and processed through overlapping the pixels and gray values of the real-time image and the historical image, so that the rapid implementation thought of image data analysis, evaluation and final problem tracing is considered, meanwhile, in order to ensure the accuracy of analysis and judgment, the data source singleness is avoided, the image is divided and independently processed, and the problem searching and the scheme self logic calibration are facilitated.
Drawings
Fig. 1 is a flowchart of a method for evaluating and monitoring various kinds of data for sucking materials of a reinforcing machine.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: the invention provides a method for evaluating and monitoring various data of suction materials of a reinforcing machine, which is shown in figure 1 and comprises the following steps:
S1, obtaining a preliminary comparison result of a real-time monitoring image by using the real-time monitoring image of the material sucking of the reinforcing machine;
S2, carrying out regional division processing by utilizing the real-time monitoring image of the suction material of the reinforcing machine to obtain regional image evaluation monitoring characteristics;
And S3, acquiring multi-kind data evaluation monitoring results by utilizing the preliminary comparison result of the real-time monitoring image and the regional image evaluation monitoring characteristics.
S1 specifically comprises:
S1-1, collecting a real-time monitoring image of suction materials of a reinforcing machine;
s1-2, acquiring a historical monitoring image corresponding to the suction material of the reinforcing machine according to the real-time monitoring image of the suction material of the reinforcing machine, and establishing a historical monitoring image database of the suction material of the reinforcing machine;
s1-3, acquiring image basic data of each history monitoring image in a history monitoring image database of the material sucking of the reinforcing machine, and establishing a history monitoring image tag library of the material sucking of the reinforcing machine;
s1-4, obtaining a preliminary comparison result of the real-time monitoring image by utilizing the real-time monitoring image, the historical monitoring image database and the historical monitoring image tag library of the suction material of the reinforcing machine;
wherein the image base data includes image pixels and image gray values.
S1-4 specifically comprises:
S1-4-1, acquiring image pixels and image gray values of a real-time monitoring image of the suction material of the reinforcing machine as a first label of the real-time monitoring image and a second label of the real-time monitoring image respectively;
s1-4-2, acquiring the same historical monitoring image in a historical monitoring image database of the material suction of the reinforcing machine based on PSNR by using the real-time monitoring image of the material suction of the reinforcing machine as a reference historical monitoring image;
S1-4-3, acquiring image pixels and image gray values of the reference historical monitoring image as a first label of the historical monitoring image and a second label of the historical monitoring image respectively;
s1-4-4, acquiring a reference historical monitoring image, of which the first label of the historical monitoring image is the same as that of the first label of the real-time monitoring image, as an initial screening reference historical monitoring image;
S1-4-5, acquiring an initial screening reference historical monitoring image with the same second label of the historical monitoring image of the initial screening reference historical monitoring image as the second label of the real-time monitoring image as a preliminary comparison result of the real-time monitoring image.
S2 specifically comprises:
s2-1, respectively acquiring a main material absorbing area and a secondary background area according to the real-time monitoring image of the material absorbing of the reinforcing machine;
s2-2, establishing a main suction fluctuation area characteristic corresponding to a main suction area by utilizing the real-time monitoring image;
S2-3, establishing secondary background coverage area features corresponding to the secondary background areas by utilizing the real-time monitoring images;
S2-4, utilizing the primary suction fluctuation area characteristic and the secondary background coverage area characteristic as area image evaluation monitoring characteristics;
the main material absorbing area corresponds to a material area of the material absorbed by the reinforcing machine, and the secondary background area corresponds to an area outside the material area absorbed by the reinforcing machine.
S2-2 specifically comprises:
s2-2-1, acquiring real-time monitoring image pixel point data of the main suction area corresponding to the real-time monitoring image;
S2-2-2, acquiring an area boundary of the main suction area corresponding to the real-time monitoring image to establish real-time monitoring image edge data;
S2-2-3, judging whether the real-time monitoring image edge data has a discontinuous edge, if so, using the real-time monitoring image pixel point data of the real-time monitoring image edge data corresponding to the discontinuous edge and the main suction area as the main suction fluctuation area characteristics, otherwise, using the real-time monitoring image edge data corresponding to the real-time monitoring image edge data and the real-time monitoring image pixel point data as the main suction fluctuation area characteristics.
S2-3 specifically comprises:
s2-3-1, obtaining texture features of a secondary background area corresponding to the secondary background area of the real-time monitoring image;
S2-3-2, judging whether the texture features of the secondary background areas are different, if yes, acquiring the texture features of the secondary background areas with the different conditions as secondary background coverage area features, otherwise, utilizing the texture features of the secondary background areas corresponding to the adjacent areas of the secondary background areas and the primary suction areas as secondary background coverage area features.
S3 specifically comprises:
S3-1, acquiring multiple kinds of evaluation monitoring results of the suction areas by utilizing the preliminary comparison result of the real-time monitoring image and main suction fluctuation area characteristics corresponding to the area image evaluation monitoring characteristics;
s3-2, obtaining a background area multi-type evaluation monitoring result by utilizing the preliminary comparison result of the real-time monitoring image and the secondary background coverage area characteristic corresponding to the area image evaluation monitoring characteristic;
s3-3, utilizing the multi-type evaluation monitoring results of the material sucking area and the multi-type evaluation monitoring results of the background area to obtain multi-type data evaluation monitoring results.
S3-1 specifically comprises:
S3-1-1, judging whether the preliminary comparison result of the real-time monitoring image corresponds to the pixel point data of the real-time monitoring image corresponding to the main suction fluctuation area characteristic of the area image evaluation monitoring characteristic, if so, acquiring the preliminary comparison result of the corresponding real-time monitoring image as an initial judging image of the suction area, executing S3-1-2, otherwise, returning to S1-2;
S3-1-2, judging whether a discontinuous edge exists in the area image evaluation monitoring feature corresponding to the main material suction fluctuation area feature, if yes, executing S3-1-3, otherwise, executing S3-1-4;
S3-1-3, judging whether main suction area corresponding pixels of an initial judgment image of the suction area are consistent with non-continuous edge corresponding pixels, if so, using the initial judgment image of the suction area as a suction area multi-kind evaluation monitoring result, otherwise, returning to S2-2-1;
S3-1-4, judging whether the initial judging image of the suction area corresponds to the main suction area, if yes, deleting the post repeated initial judging image, and taking the initial judging image of the current suction area as a suction area multi-type evaluation monitoring result, otherwise, taking the initial judging image of the suction area as the suction area multi-type evaluation monitoring result.
In this embodiment, in the method for evaluating and monitoring multiple types of data for suction materials of a reinforcing machine, when a repeated image exists in the post-repeated initial judgment image, the image with the corresponding time behind or relatively behind in sequence in the two images is the post-repeated initial judgment image.
S3-2 specifically comprises:
s3-2-1, judging whether the secondary background coverage area features corresponding to the area image evaluation monitoring features are all positioned in the non-segmentation adjacent areas corresponding to the preliminary comparison result of the real-time monitoring image, if so, executing S3-2-2, otherwise, returning to S2-3-2;
s3-2-2, judging whether the secondary background coverage area features corresponding to the area image evaluation monitoring features have position repetition, if so, deleting the secondary background coverage area features which are repeated later, using the secondary background coverage area features corresponding to the current area image evaluation monitoring features as background area multi-type evaluation monitoring results, otherwise, using the secondary background coverage area features corresponding to the area image evaluation monitoring features as background area multi-type evaluation monitoring results;
the adjacent areas are adjacent areas of the secondary background area and the main absorbing area.
S3 specifically comprises:
s3-1, judging whether homologous images exist in the suction area multi-type evaluation monitoring results and the background area multi-type evaluation monitoring results at the same time, if so, executing S3-2, otherwise, directly executing S3-4;
s3-2, judging whether the image pixels corresponding to the homologous images are consistent with the image pixels corresponding to the real-time monitoring image of the suction material of the reinforcing machine, if so, executing S3-3, otherwise, directly executing S3-4;
S3-3, judging whether the gray value of the image corresponding to the homologous image is consistent with the gray value of the image corresponding to the real-time monitoring image of the material sucking of the reinforcing machine, if so, outputting a plurality of types of evaluation monitoring results of the current material sucking area and a plurality of types of evaluation monitoring results of the background area, and if not, executing S3-4;
S3-4, judging whether the real-time monitoring image of the material sucking of the reinforcing machine, the multiple kinds of evaluation monitoring results of the material sucking area and the multiple kinds of evaluation monitoring results of the background area are all provided with corresponding images, if yes, the multiple kinds of data evaluation monitoring results are normal, updating the current moment, returning to S1, otherwise, the multiple kinds of data evaluation monitoring results are abnormal, and outputting the main material sucking fluctuation area characteristics and the secondary background coverage area characteristics with the corresponding images;
the homologous images are images of which the same image corresponds to the evaluation and monitoring results of the suction areas and the background areas.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. The method for evaluating and monitoring various data of the suction materials of the reinforcing machine is characterized by comprising the following steps of:
S1, obtaining a preliminary comparison result of a real-time monitoring image by using the real-time monitoring image of the material sucking of the reinforcing machine;
S2, carrying out regional division processing by utilizing the real-time monitoring image of the suction material of the reinforcing machine to obtain regional image evaluation monitoring characteristics;
And S3, acquiring multi-kind data evaluation monitoring results by utilizing the preliminary comparison result of the real-time monitoring image and the regional image evaluation monitoring characteristics.
2. The method for evaluating and monitoring various types of data for sucking materials of a reinforcing machine according to claim 1, wherein the step of obtaining the preliminary comparison result of the real-time monitoring image by using the real-time monitoring image of the sucking materials of the reinforcing machine comprises the following steps:
S1-1, collecting a real-time monitoring image of suction materials of a reinforcing machine;
s1-2, acquiring a historical monitoring image corresponding to the suction material of the reinforcing machine according to the real-time monitoring image of the suction material of the reinforcing machine, and establishing a historical monitoring image database of the suction material of the reinforcing machine;
s1-3, acquiring image basic data of each history monitoring image in a history monitoring image database of the material sucking of the reinforcing machine, and establishing a history monitoring image tag library of the material sucking of the reinforcing machine;
s1-4, obtaining a preliminary comparison result of the real-time monitoring image by utilizing the real-time monitoring image, the historical monitoring image database and the historical monitoring image tag library of the suction material of the reinforcing machine;
wherein the image base data includes image pixels and image gray values.
3. The method for evaluating and monitoring various types of data for sucking materials of a reinforcing machine according to claim 2, wherein obtaining preliminary comparison results of real-time monitoring images by using the real-time monitoring images, the historical monitoring image database and the historical monitoring image tag library of the sucking materials of the reinforcing machine comprises:
Acquiring image pixels and image gray values of a real-time monitoring image of the suction material of the reinforcement machine as a first label of the real-time monitoring image and a second label of the real-time monitoring image respectively;
Acquiring the same historical monitoring image in a historical monitoring image database of the material suction of the reinforcing machine based on PSNR by using the real-time monitoring image of the material suction of the reinforcing machine as a reference historical monitoring image;
acquiring image pixels and image gray values of the reference historical monitoring image as a first historical monitoring image label and a second historical monitoring image label respectively;
acquiring a reference historical monitoring image, of which the first label of the historical monitoring image is the same as that of the first label of the real-time monitoring image, as an initial screening reference historical monitoring image;
And acquiring an initial screening reference historical monitoring image with the same second label of the historical monitoring image of the initial screening reference historical monitoring image as the second label of the real-time monitoring image as a preliminary comparison result of the real-time monitoring image.
4. A method for evaluating and monitoring multiple types of data of a suction material of a reinforcing machine according to claim 3, wherein the step of performing area division processing by using the real-time monitoring image of the suction material of the reinforcing machine to obtain an area image evaluating and monitoring feature comprises the following steps:
s2-1, respectively acquiring a main material absorbing area and a secondary background area according to the real-time monitoring image of the material absorbing of the reinforcing machine;
s2-2, establishing a main suction fluctuation area characteristic corresponding to a main suction area by utilizing the real-time monitoring image;
S2-3, establishing secondary background coverage area features corresponding to the secondary background areas by utilizing the real-time monitoring images;
S2-4, utilizing the primary suction fluctuation area characteristic and the secondary background coverage area characteristic as area image evaluation monitoring characteristics;
the main material absorbing area corresponds to a material area of the material absorbed by the reinforcing machine, and the secondary background area corresponds to an area outside the material area absorbed by the reinforcing machine.
5. The method for evaluating and monitoring multiple types of data for sucking materials of a reinforcing machine according to claim 4, wherein the step of establishing a main sucking fluctuation area characteristic corresponding to a main sucking area by using the real-time monitoring image comprises the steps of:
s2-2-1, acquiring real-time monitoring image pixel point data of the main suction area corresponding to the real-time monitoring image;
S2-2-2, acquiring an area boundary of the main suction area corresponding to the real-time monitoring image to establish real-time monitoring image edge data;
S2-2-3, judging whether the real-time monitoring image edge data has a discontinuous edge, if so, using the real-time monitoring image pixel point data of the real-time monitoring image edge data corresponding to the discontinuous edge and the main suction area as the main suction fluctuation area characteristics, otherwise, using the real-time monitoring image edge data corresponding to the real-time monitoring image edge data and the real-time monitoring image pixel point data as the main suction fluctuation area characteristics.
6. The method of claim 4, wherein establishing secondary background coverage area features for the secondary background areas using the real-time monitoring image comprises:
s2-3-1, obtaining texture features of a secondary background area corresponding to the secondary background area of the real-time monitoring image;
S2-3-2, judging whether the texture features of the secondary background areas are different, if yes, acquiring the texture features of the secondary background areas with the different conditions as secondary background coverage area features, otherwise, utilizing the texture features of the secondary background areas corresponding to the adjacent areas of the secondary background areas and the primary suction areas as secondary background coverage area features.
7. The method for evaluating and monitoring multiple types of data for sucking materials of a reinforcing machine according to claim 4, wherein the step of obtaining the evaluating and monitoring multiple types of data by using the preliminary comparison result of the real-time monitoring image and the regional image evaluating and monitoring feature comprises the following steps:
S3-1, acquiring multiple kinds of evaluation monitoring results of the suction areas by utilizing the preliminary comparison result of the real-time monitoring image and main suction fluctuation area characteristics corresponding to the area image evaluation monitoring characteristics;
s3-2, obtaining a background area multi-type evaluation monitoring result by utilizing the preliminary comparison result of the real-time monitoring image and the secondary background coverage area characteristic corresponding to the area image evaluation monitoring characteristic;
s3-3, utilizing the multi-type evaluation monitoring results of the material sucking area and the multi-type evaluation monitoring results of the background area to obtain multi-type data evaluation monitoring results.
8. The method for evaluating and monitoring multiple types of data of suction materials of a reinforcing machine according to claim 7, wherein the step of obtaining multiple types of evaluation and monitoring results of the suction material region by using the primary comparison result of the real-time monitoring image and the main suction material fluctuation region characteristic corresponding to the region image evaluation and monitoring characteristic comprises the following steps:
S3-1-1, judging whether the preliminary comparison result of the real-time monitoring image corresponds to the pixel point data of the real-time monitoring image corresponding to the main suction fluctuation area characteristic of the area image evaluation monitoring characteristic, if so, acquiring the preliminary comparison result of the corresponding real-time monitoring image as an initial judging image of the suction area, executing S3-1-2, otherwise, returning to S1-2;
S3-1-2, judging whether a discontinuous edge exists in the area image evaluation monitoring feature corresponding to the main material suction fluctuation area feature, if yes, executing S3-1-3, otherwise, executing S3-1-4;
S3-1-3, judging whether main suction area corresponding pixels of an initial judgment image of the suction area are consistent with non-continuous edge corresponding pixels, if so, using the initial judgment image of the suction area as a suction area multi-kind evaluation monitoring result, otherwise, returning to S2-2-1;
S3-1-4, judging whether the initial judging image of the suction area corresponds to the main suction area, if yes, deleting the post repeated initial judging image, and taking the initial judging image of the current suction area as a suction area multi-type evaluation monitoring result, otherwise, taking the initial judging image of the suction area as the suction area multi-type evaluation monitoring result.
9. The method for evaluating and monitoring a plurality of types of data for sucking materials of a reinforcing machine according to claim 8, wherein the step of obtaining the background area plurality of types of evaluation and monitoring results by using the secondary background coverage area features corresponding to the area image evaluation and monitoring features of the preliminary comparison result of the real-time monitoring image comprises the steps of:
s3-2-1, judging whether the secondary background coverage area features corresponding to the area image evaluation monitoring features are all positioned in the non-segmentation adjacent areas corresponding to the preliminary comparison result of the real-time monitoring image, if so, executing S3-2-2, otherwise, returning to S2-3-2;
s3-2-2, judging whether the secondary background coverage area features corresponding to the area image evaluation monitoring features have position repetition, if so, deleting the secondary background coverage area features which are repeated later, using the secondary background coverage area features corresponding to the current area image evaluation monitoring features as background area multi-type evaluation monitoring results, otherwise, using the secondary background coverage area features corresponding to the area image evaluation monitoring features as background area multi-type evaluation monitoring results;
the adjacent areas are adjacent areas of the secondary background area and the main absorbing area.
10. The method for evaluating and monitoring multiple types of data for sucking materials of a reinforcing machine according to claim 9, wherein obtaining multiple types of data by utilizing the suction area multiple types of evaluation and monitoring results and the background area multiple types of evaluation and monitoring results comprises:
s3-1, judging whether homologous images exist in the suction area multi-type evaluation monitoring results and the background area multi-type evaluation monitoring results at the same time, if so, executing S3-2, otherwise, directly executing S3-4;
s3-2, judging whether the image pixels corresponding to the homologous images are consistent with the image pixels corresponding to the real-time monitoring image of the suction material of the reinforcing machine, if so, executing S3-3, otherwise, directly executing S3-4;
S3-3, judging whether the gray value of the image corresponding to the homologous image is consistent with the gray value of the image corresponding to the real-time monitoring image of the material sucking of the reinforcing machine, if so, outputting a plurality of types of evaluation monitoring results of the current material sucking area and a plurality of types of evaluation monitoring results of the background area, and if not, executing S3-4;
S3-4, judging whether the real-time monitoring image of the material sucking of the reinforcing machine, the multiple kinds of evaluation monitoring results of the material sucking area and the multiple kinds of evaluation monitoring results of the background area are all provided with corresponding images, if yes, the multiple kinds of data evaluation monitoring results are normal, updating the current moment, returning to S1, otherwise, the multiple kinds of data evaluation monitoring results are abnormal, and outputting the main material sucking fluctuation area characteristics and the secondary background coverage area characteristics with the corresponding images;
the homologous images are images of which the same image corresponds to the evaluation and monitoring results of the suction areas and the background areas.
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