Fountain solution recovery data processing system and method based on data identification

Abstract

The invention discloses a fountain solution recovery data processing system and method based on data identification, and belongs to the technical field of electronic digital data processing.The fountain solution recovery data processing method comprises the steps that a set amount of fountain solution is recovered, and pictures of the fountain solution are collected and preprocessed; the turbidity of the fountain solution is calculated according to the liquid turbidity calculation strategy; the last file printed by the fountain solution is obtained, a paper picture of the file is collected and preprocessed, and the paper abrasion degree is calculated according to the paper abrasion degree calculation strategy; calculating a fountain solution use abnormal value according to the fountain solution use abnormal value calculation strategy; the fountain solution use abnormal value obtained through calculation is compared with a preset fountain solution function abnormal threshold value, and whether the fountain solution meets the recovery standard or not is judged according to the comparison result; whether the fountain solution meets the recovery standard or not is comprehensively judged according to the turbidity of the fountain solution and the abrasion degree of printed paper, the judgment precision is improved, the fountain solution meeting the standard is recovered, and the recovery efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electronic digital data processing, and specifically relates to a dampening solution recovery data processing system and method based on data recognition. Background Art

[0002] Dampening solution recovery refers to the process of collecting, purifying, and reusing the used dampening solution during the printing process. The dampening solution plays roles such as regulating the fluidity of the ink, controlling the printing speed, and providing a good printing surface during the printing process. However, over time, the dampening solution will gradually deteriorate, possibly generating impurities and pollutants, which will affect the printing quality and the environment. Therefore, recovering and processing the dampening solution is an important measure to ensure printing quality and reduce environmental impact;

[0003] However, not all dampening solutions meet the recovery standards. Whether the dampening solution meets the recovery standards is affected by factors such as the composition of the dampening solution, the degree of contamination of the dampening solution, existing treatment technologies, and environmental protection regulations and standards. If the dampening solution is directly recovered without judging whether it meets the recovery standards, and if the pollutants in the dampening solution are not effectively removed, it will lead to a decline in printing quality, affecting the clarity and color uniformity of the printed matter, and will also damage the internal components of the printing machine, such as rollers, nozzles, etc., shortening the service life of the equipment; and discharging the non-compliant dampening solution directly into the environment will have a negative impact on the ecosystem, such as water pollution, soil pollution, etc.;

[0004] Most of the existing technologies detect whether the recovered and processed dampening solution meets the recovery standards, lacking the judgment on whether the dampening solution can be recovered before processing, and lacking the comprehensive judgment on whether the dampening solution meets the recovery standards by combining the turbidity of the dampening solution itself and the wear degree of the printed paper;

[0005] To solve the above problems, the present invention designs a dampening solution recovery data processing system and method based on data recognition. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention proposes a dampening solution recovery data processing system and method based on data recognition. The present invention recovers a set amount of dampening solution, collects pictures of the dampening solution and performs preprocessing; calculates the turbidity of the dampening solution according to the liquid turbidity calculation strategy; obtains the last document printed by the dampening solution, collects pictures of the paper of the document and performs preprocessing, and calculates the wear degree of the paper according to the paper wear degree calculation strategy; calculates the abnormal value of dampening solution use according to the abnormal value calculation strategy of dampening solution use; compares the calculated abnormal value of dampening solution use with the preset abnormal threshold of dampening solution function, and judges whether the dampening solution meets the recovery standard according to the comparison result; the present invention comprehensively judges whether the dampening solution meets the recovery standard according to the liquid turbidity of the dampening solution and the wear degree of the printed paper, improves the accuracy of judgment, and improves the recovery efficiency by recovering the dampening solution that meets the standard.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A dampening solution recovery data processing method based on data recognition, comprising the following specific steps:

[0009] S1. Recover a set amount of dampening solution, collect pictures of the dampening solution and perform preprocessing;

[0010] S2. Import the preprocessed pictures of the dampening solution into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution;

[0011] S3. Obtain the last document printed by the dampening solution, collect pictures of the paper of the document and perform preprocessing, and import the preprocessed pictures of the paper into the paper wear degree calculation strategy to calculate the wear degree of the paper;

[0012] S4. Import the calculated turbidity of the dampening solution and the wear degree of the paper into the abnormal value calculation strategy of dampening solution use to calculate the abnormal value of dampening solution use;

[0013] S5. Compare the calculated abnormal value of dampening solution use with the preset abnormal threshold of dampening solution function, and judge whether the dampening solution meets the recovery standard according to the comparison result.

[0014] Specifically, the S1 includes the following specific steps:

[0015] S101. Recover a set amount of dampening solution, collect pictures of the dampening solution and perform preprocessing. The preprocessing includes image grayscale conversion, and the image grayscale conversion includes a normalization processing calculation formula, which is: Z(i,j) = Z′(i,j) - min{Z(i,j)}, where i ∈ (0, I - 1), j ∈ (0, J - 1), (i,j) is the coordinate of the pixel in the picture, Z(i,j) is the grayscale value of the coordinate (i,j), min{Z(i,j)} is the minimum grayscale value, Z′ is the grayscale value of the image before normalization processing, I is the length of the abscissa of the picture, and J is the length of the ordinate of the picture;

[0016] S102. The preprocessing further includes picture cropping. The picture cropping is to crop the picture of the dampening solution into image slices with a size of 2 e ×2 e where e = 0, 1,..., min(I, J), and min(I, J) is the minimum value of the length of the abscissa and ordinate of the dampening solution picture.

[0017] Specifically, S2 includes the following specific steps:

[0018] Import the preprocessed picture of the dampening solution into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution. The liquid turbidity calculation strategy includes a liquid turbidity calculation formula, which is: where k n is the number of pixels of the area occupied by the nth impurity particle, 2 2e is the area of a single image slice of the dampening solution picture, k dw is the number of pixels of a single image slice of the dampening solution picture, k tp is the total number of pixels of the dampening solution picture, and m is the number of impurity particles in the dampening solution picture.

[0019] Specifically, S3 includes the following specific steps:

[0020] S301. Obtain the last document printed with the dampening solution, collect the picture of the paper of the document and perform preprocessing;

[0021] S302. Obtain the preprocessed picture of the paper, and calculate the average grayscale value of the paper according to the average grayscale value calculation formula. The average grayscale value calculation formula is: where t is the length of the paper picture, g is the width of the paper picture, 2 v is the length of a single image slice of the paper picture, v = 0, 1,..., min(t, g), and min(t, g) is the minimum value of the length and width of the paper picture, 2 2vLet \(S\) be the area of a single image slice of the paper picture, and \(f(x,y)\) be the grayscale value of the pixel point \((x,y)\) in the paper picture;

[0022] S303. Calculate the average intensity difference of each pixel point in the horizontal and vertical directions according to the average intensity difference calculation formula. The average intensity difference calculation formula in the horizontal direction is: The average intensity difference calculation formula in the vertical direction is:

[0023]

[0024] S304. Obtain the value of \(v\) when the maximum value of the average intensity difference in the horizontal and vertical directions is obtained according to the maximum size function. The calculation formula of the maximum size function is: \(M\) max (t,g) = 2 v ;

[0025] S305. Calculate the wear degree of the paper according to the wear degree calculation formula. The wear degree calculation formula is:

[0026] Specifically, the S4 includes the following specific steps:

[0027] Import the calculated turbidity of the dampening solution and the wear degree of the paper into the abnormal value calculation strategy for the use of the dampening solution to calculate the abnormal value for the use of the dampening solution. The abnormal value calculation strategy for the use of the dampening solution includes the abnormal value calculation formula for the use of the dampening solution. The abnormal value calculation formula for the use of the dampening solution is: where \(\alpha\) is the turbidity proportion coefficient, \(\beta\) is the wear degree proportion coefficient, and \(\alpha+\beta = 1\).

[0028] Specifically, the S5 includes the following specific steps:

[0029] Compare the calculated abnormal value for the use of the dampening solution with the preset abnormal threshold for the function of the dampening solution. If the calculated abnormal value for the use of the dampening solution is less than or equal to the preset abnormal threshold for the function of the dampening solution, it is determined that the dampening solution meets the recycling standard; if the calculated abnormal value for the use of the dampening solution is greater than the preset abnormal threshold for the function of the dampening solution, it is determined that the dampening solution does not meet the recycling standard.

[0030] The dampening solution recycling data processing system based on data recognition is implemented based on the above-mentioned dampening solution recycling data processing method based on data recognition, and includes a control module, a picture acquisition module, a preprocessing module, a liquid turbidity calculation module, a paper wear degree calculation module, an abnormal module for the use of the dampening solution, and a comparison and judgment module;

[0031] Specifically, the control module is used to control the operation of the picture acquisition module, the preprocessing module, the liquid turbidity calculation module, the paper wear calculation module, the dampening solution usage anomaly module, and the comparison and judgment module;

[0032] Specifically, the picture acquisition module is used to acquire pictures of the dampening solution and pictures of the paper of the acquisition file. The preprocessing module is used to preprocess the pictures of the dampening solution and the pictures of the paper of the acquisition file. The liquid turbidity calculation module is used to import the preprocessed pictures of the dampening solution into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution;

[0033] Specifically, the paper wear calculation module is used to import the preprocessed pictures of the paper into the paper wear calculation strategy to calculate the wear degree of the paper. The dampening solution usage anomaly module is used to import the calculated turbidity of the dampening solution and the wear degree of the paper into the dampening solution usage anomaly value calculation strategy to calculate the dampening solution usage anomaly value. The comparison and judgment module is used to compare the calculated dampening solution usage anomaly value with the preset dampening solution function anomaly threshold, and judge whether the dampening solution meets the recycling standard according to the comparison result.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention recycles a set amount of dampening solution, acquires pictures of the dampening solution and preprocesses them; calculates the turbidity of the dampening solution according to the liquid turbidity calculation strategy; obtains the last file printed by the dampening solution, acquires pictures of the paper of the file and preprocesses them, and calculates the wear degree of the paper according to the paper wear calculation strategy; calculates the dampening solution usage anomaly value according to the dampening solution usage anomaly value calculation strategy; compares the calculated dampening solution usage anomaly value with the preset dampening solution function anomaly threshold, and judges whether the dampening solution meets the recycling standard according to the comparison result; The present invention comprehensively judges whether the dampening solution meets the recycling standard according to the liquid turbidity of the dampening solution and the wear degree of the printed paper, improves the accuracy of the judgment, and recycles the dampening solution that meets the standard, thereby improving the recycling efficiency. Description of the Drawings

[0035] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0036] Figure 1 It is a schematic flow chart of the dampening solution recycling data processing method based on data recognition of the present invention;

[0037] Figure 2This is a schematic diagram of the overall framework of the dampening solution recycling data processing system based on data recognition according to the present invention. Detailed implementation manners

[0038] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features and effects of the dampening solution recycling data processing system and method based on data recognition according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0039] Embodiment 1

[0040] Please refer to Figure 1 , an embodiment provided by the present invention: A dampening solution recycling data processing method based on data recognition, which includes the following specific steps:

[0041] S1. Recycle a set amount of dampening solution, collect pictures of the dampening solution and perform preprocessing;

[0042] In this embodiment, S1 includes the following specific steps:

[0043] S101. Recycle a set amount of dampening solution, collect pictures of the dampening solution and perform preprocessing. The preprocessing includes image grayscale conversion, and the image grayscale conversion includes a normalization processing calculation formula. The normalization processing calculation formula is: Z(i,j) = Z′(i,j) - min{Z(i,j)}, i ∈ (0, I - 1), j ∈ (0, J - 1), where (i,j) is the coordinate of the pixel in the picture, Z(i,j) is the grayscale value of the coordinate (i,j), Z′ is the grayscale value of the image before normalization processing, I is the length of the abscissa of the picture, and J is the length of the ordinate of the picture;

[0044] Here, it should be noted that the specific steps for recycling a set amount of dampening solution are as follows:

[0045] Close the supply system: It is necessary to close the supply system of the dampening solution to prevent new dampening solution from flowing in;

[0046] Isolate the dampening solution: By closing the valve or separating the pipeline, isolate the dampening solution from the printing press and other possible flowing systems;

[0047] Collect the dampening solution: Use a special recycling container or a dampening solution recycling machine to collect the dampening solution;

[0048] After it is determined through calculation that the dampening solution can be reused, the specific steps for processing the dampening solution are as follows:

[0049] Separate impurities: If there are many impurities such as paper fibers and ink particles in the dampening solution, equipment such as sieves and centrifuges can be used for separation;

[0050] Treat chemical components: According to the chemical components of the dampening solution, specific chemical reagents need to be added to precipitate or degrade the harmful components therein to make it easier to handle and recycle;

[0051] Physical treatment: Physically treat the dampening solution by heating, cooling, stirring, etc. to help separate useful components;

[0052] Record and monitor: During the entire recycling process, information such as the recycling volume, treatment method, and treatment effect of the dampening solution needs to be recorded in detail for subsequent management and optimization.

[0053] It should be noted here that the standardization process is to normalize all pixel values of the grayscale image and scale them to a standard range, such as between 0 and 1;

[0054] Advantages of image grayscale conversion and standardization:

[0055] Enhance contrast: Image grayscale conversion and standardization can adjust the range of image data, making the pixel values of the image distributed in a standardized interval, giving the pixel values of the image a unified amplitude, which helps to enhance the contrast of different region features in the image and facilitates subsequent image processing operations;

[0056] Eliminate the influence of uneven illumination: Through standardization, the shadows or overexposed areas caused by uneven illumination in the image can be reduced, making image analysis more accurate;

[0057] Improve the efficiency of image processing algorithms: The standardized image data can be directly used in image processing algorithms;

[0058] Improve image visualization: The standardized data is clearer when displaying and analyzing images.

[0059] S102. The preprocessing also includes picture cropping. The picture of the dampening solution is cropped into image slices with a size of 2 e ×2 e where e = 0, 1,..., min(I, J), and min(I, J) is the minimum value of the abscissa and ordinate lengths of the dampening solution picture.

[0060] It should be noted here that the advantages of cropping the picture into several image slices:

[0061] Simplified Image Analysis: By cropping the entire dampening solution image into multiple slices, the complexity of image analysis can be simplified. Each slice contains only partial image information, enabling more focused attention on local features during the recognition and analysis process;

[0062] Improved Processing Speed: For large images, the overall recognition and analysis process can be very time-consuming. By cropping them into small slices, they can be processed quickly one by one, thus improving the overall processing speed;

[0063] Reduced Consumption of Computing Resources: The cropped image slices are usually much smaller than the original image. Therefore, when processing these slices, the consumption of computing resources such as memory and processing power can be reduced.

[0064] S2. Import the preprocessed dampening solution image into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution;

[0065] In this embodiment, S2 includes the following specific steps:

[0066] Import the preprocessed dampening solution image into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution. The liquid turbidity calculation strategy includes a liquid turbidity calculation formula, and the liquid turbidity calculation formula is where k n is the number of pixels of the area occupied by the nth impurity particle, 2 2e is the area of a single image slice of the dampening solution image, k dw is the number of pixels of a single image slice of the dampening solution image, k tp is the total number of pixels of the dampening solution image, and m is the number of impurity particles in the dampening solution image.

[0067] S3. Obtain the last document printed by the dampening solution, collect and preprocess the paper image of the document, and import the preprocessed paper image into the paper wear calculation strategy to calculate the wear of the paper;

[0068] In this embodiment, S3 includes the following specific steps:

[0069] S301. Obtain the last document printed by the dampening solution, collect and preprocess the paper image of the document;

[0070] S302. Obtain the preprocessed paper image, calculate the average gray value of the paper according to the average gray value calculation formula. The average gray value calculation formula is: where t is the length of the paper image, g is the width of the paper image, 2 v is the length of a single image slice of the paper image, v = 0, 1,..., min(t, g), and min(t, g) is the minimum value of the length and width of the paper image, 2 2vLet \(S\) be the area of a single image slice of the paper picture, and \(f(x,y)\) be the gray value of the pixel point \((x,y)\) in the paper picture;

[0071] S303. Calculate the average intensity difference of each pixel point in the horizontal and vertical directions according to the average intensity difference calculation formula. The average intensity difference calculation formula in the horizontal direction is: The average intensity difference calculation formula in the vertical direction is:

[0072]

[0073] S304. Obtain the value of \(v\) when the maximum value of the average intensity difference in the horizontal and vertical directions is obtained according to the maximum size function. The calculation formula of the maximum size function is: \(M\) max (t,g) = 2 v ;

[0074] S305. Calculate the wear degree of the paper according to the wear degree calculation formula. The wear degree calculation formula is:

[0075] S4. Import the calculated turbidity of the dampening solution and the wear degree of the paper into the calculation strategy for abnormal values of dampening solution usage to calculate the abnormal values of dampening solution usage;

[0076] In this embodiment, S4 includes the following specific steps:

[0077] Import the calculated turbidity of the dampening solution and the wear degree of the paper into the calculation strategy for abnormal values of dampening solution usage to calculate the abnormal values of dampening solution usage. The calculation strategy for abnormal values of dampening solution usage includes the calculation formula for abnormal values of dampening solution usage. The calculation formula for abnormal values of dampening solution usage is: Where, \(\alpha\) is the turbidity proportion coefficient, \(\beta\) is the wear degree proportion coefficient, and \(\alpha+\beta = 1\) 。

[0078] S5. Compare the calculated abnormal values of dampening solution usage with the preset abnormal threshold of dampening solution function, and judge whether the dampening solution meets the recycling standard according to the comparison result.

[0079] In this embodiment, S5 includes the following specific steps:

[0080] Compare the calculated abnormal values of dampening solution usage with the preset abnormal threshold of dampening solution function. If the calculated abnormal values of dampening solution usage are less than or equal to the preset abnormal threshold of dampening solution function, judge the dampening solution, then judge that the dampening solution meets the recycling standard; if the calculated abnormal values of dampening solution usage are greater than the preset abnormal threshold of dampening solution function, judge the dampening solution, then judge that the dampening solution does not meet the recycling standard.

[0081] It should be noted here that the methods for obtaining the values of α, β, and the preset abnormal threshold of the dampening solution function are as follows: Select 100 portions of used dampening solution, collect the pictures of the dampening solution and the pictures of the paper of the last printed document. Import the dampening solution pictures into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution, import the paper pictures into the paper wear degree calculation strategy to calculate the wear degree of the paper, import the calculated turbidity of the dampening solution and the wear degree of the paper into the abnormal value calculation strategy for dampening solution use to calculate the abnormal value of dampening solution use. Determine whether the dampening solution meets the recycling standard according to the comparison result between the abnormal value of dampening solution use and the preset abnormal threshold of the dampening solution function. Select 30 relevant practitioners to process these 100 portions of used dampening solution, and determine the dampening solution that meets the recycling standard after processing. Import the results of the comprehensive comparison and judgment according to the calculation strategy and the judgment results of the relevant practitioners into the relevant fitting software to output a set of values of α, β, and the preset abnormal threshold of the dampening solution function with the highest judgment accuracy rate.

[0082] This embodiment is suitable for an automated and intelligent data processing system for dampening solution recycling, which can achieve real-time monitoring and automatic judgment, reducing manual intervention; only the dampening solution that meets the recycling standard can be reused, which can ensure the quality of the dampening solution in use; by monitoring the usage and recycling effect of the dampening solution and analyzing the data, it helps to discover potential problems and take measures for continuous improvement.

[0083] It should be noted here that this embodiment determines whether the dampening solution meets the recycling standard because not all dampening solutions meet the recycling standard. The factors affecting whether the dampening solution meets the recycling standard include the following:

[0084] Composition: The composition of the dampening solution determines its recyclability. Some dampening solutions may contain chemical substances that are not easily degradable, and these substances may be difficult to remove during the recycling process, thus affecting the recycling quality of the dampening solution;

[0085] Degree of contamination: The dampening solution during use may accumulate solid particles, bacteria, and other pollutants. If the degree of contamination is too high, the dampening solution cannot reach the quality standard required for recycling;

[0086] Treatment technology: Recycling the dampening solution requires specific treatment technologies, such as filtration, chemical treatment, and separation, etc. If the existing technologies cannot effectively remove the pollutants in the dampening solution, then this dampening solution may not be recyclable;

[0087] Environmental protection regulations and standards: The environmental protection regulations and standards in different regions have clear requirements for the recycling and use of the dampening solution. If the recycling quality of the dampening solution cannot meet the local environmental protection regulations and standards, then this dampening solution cannot be recycled;

[0088] Before processing the dampening solution, it is first determined whether the dampening solution meets the recycling standards. By comprehensively considering two key indicators, namely the turbidity of the dampening solution and the wear degree of the paper, the usage status of the dampening solution is evaluated from different perspectives, improving the comprehensiveness of the evaluation. By comparing with the preset abnormal threshold of the dampening solution function, the judgment process is simplified and the efficiency is improved. By accurately judging whether the dampening solution meets the recycling standards, waste of resources can be effectively avoided and the utilization rate of resources can be improved.

[0089] Embodiment 2

[0090] Please refer to Figure 2 , a dampening solution recycling data processing system based on data recognition, which is implemented based on the above-mentioned dampening solution recycling data processing method based on data recognition, and includes a control module, a picture acquisition module, a preprocessing module, a liquid turbidity calculation module, a paper wear degree calculation module, a dampening solution usage abnormality module, and a comparison and judgment module;

[0091] In this embodiment, the control module is used to control the operation of the picture acquisition module, the preprocessing module, the liquid turbidity calculation module, the paper wear degree calculation module, the dampening solution usage abnormality module, and the comparison and judgment module;

[0092] In this embodiment, the picture acquisition module is used to acquire pictures of the dampening solution and pictures of the paper of the acquired file. The preprocessing module is used to preprocess the pictures of the dampening solution and the pictures of the paper of the acquired file. The liquid turbidity calculation module is used to import the preprocessed pictures of the dampening solution into the liquid turbidity calculation strategy to calculate the turbidity of the dampening solution;

[0093] In this embodiment, the paper wear degree calculation module is used to import the preprocessed pictures of the paper into the paper wear degree calculation strategy to calculate the wear degree of the paper. The dampening solution usage abnormality module is used to import the calculated turbidity of the dampening solution and the wear degree of the paper into the dampening solution usage abnormality value calculation strategy to calculate the dampening solution usage abnormality value. The comparison and judgment module is used to compare the calculated dampening solution usage abnormality value with the preset abnormal threshold of the dampening solution function, and judge whether the dampening solution meets the recycling standards according to the comparison result.

[0094] It should be understood that in various embodiments of the present invention, the magnitudes of the serial numbers of the above processes do not mean the sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0095] It should be understood that determining B based on A does not mean determining B only based on A, and B can also be determined based on A and / or other information.

[0096] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from a website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more collections of available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0097] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed in the present invention can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0098] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0099] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only one way, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings, direct couplings, or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be electrical, mechanical, or other forms.

[0100] The unit described as a separation component may or may not be physically separated. The component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] In addition, in each embodiment of the present invention, each functional unit may be integrated in a processing unit, may exist physically separately for each unit, or two or more units may be integrated in one unit.

[0102] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0103] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific implementation manners. Obviously, according to the content of this specification, many modifications and changes can be made. This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A method for processing fountain solution recovery data based on data recognition, characterized in that: The specific steps include: S1, recovering a set amount of fountain solution, collecting pictures of the fountain solution and performing pre-processing; S2, importing the pre-processed fountain solution image into the liquid turbidity calculation strategy to calculate the turbidity of the fountain solution; S3, obtaining the last document printed by the fountain solution, collecting and preprocessing the paper image of the document, and importing the preprocessed paper image into the paper wear calculation strategy to calculate the paper wear; S4, introducing the calculated turbidity of the fountain solution and the degree of wear of the paper into the fountain solution usage abnormal value calculation strategy to calculate the fountain solution usage abnormal value; S5. Compare the calculated fountain solution usage abnormal value with the preset fountain solution function abnormality threshold value, and determine whether the fountain solution meets the recycling standard based on the comparison result.

2. The method for processing fountain solution recovery data based on data identification according to claim 1, characterized in that: The S1 comprises the following specific steps: S101, recovering a set amount of fountain solution, collecting a picture of the fountain solution and performing preprocessing, wherein the preprocessing includes image graying, and the image graying includes a standardization calculation formula, wherein the standardization calculation formula is: Z(i,j)=Z′(i,j)-min{Z(i,j)},i∈(0,I-1),j∈(0,J-1), wherein (i,j) is the coordinate of the pixel in the picture, Z(i,j) is the gray value of the coordinate (i,j), min{Z(i,j)} is the minimum gray value, Z′ is the gray value of the image without standardization, I is the length of the horizontal coordinate of the picture, and J is the length of the vertical coordinate of the picture; S102, the preprocessing also includes image cropping, wherein the image cropping is to crop the image of the fountain solution into a size of 2 e ×2 e image slice, where e = 0, 1, ..., min (I, J), min (I, J) is the minimum length of the horizontal and vertical coordinates of the fountain solution image.

3. The method for processing fountain solution recovery data based on data identification according to claim 2, characterized in that: The S2 comprises the following specific steps: The pre-processed fountain solution image is imported into the liquid turbidity calculation strategy to calculate the turbidity of the fountain solution. The liquid turbidity calculation strategy includes a liquid turbidity calculation formula, which is: Among them, k n is the number of pixels of the area occupied by the nth impurity particle, 2 2e is the area of ​​a single image slice of the fountain solution image, k dw is the number of pixels in a single image slice of the fountain solution image, k tp is the total number of pixels in the fountain solution image, and m is the number of impurity particles in the fountain solution image.

4. The method for processing fountain solution recovery data based on data identification according to claim 3, characterized in that: The S3 comprises the following specific steps: S301, obtaining the last document printed by the fountain solution, collecting a paper image of the document and performing preprocessing; S302, obtaining the preprocessed paper image, and calculating the average gray value of the paper according to the average gray value calculation formula, the average gray value calculation formula is: Among them, t is the length of the paper image, g is the width of the paper image, 2 v is the length of a single image slice of the paper image, v = 0, 1, ..., min (t, g), min (t, g) is the minimum value of the length and width of the paper image, 2 2v is the area of ​​a single image slice of the paper image, and f(x,y) is the grayscale value of the pixel point (x,y) in the paper image; S303, calculating the average intensity difference of each pixel in the horizontal and vertical directions according to the average intensity difference calculation formula, the average intensity difference calculation formula in the horizontal direction is: The average intensity difference in the vertical direction is calculated as: S304, obtaining the value of v when the average intensity difference in the horizontal and vertical directions is the maximum value according to the maximum size function, wherein the calculation formula of the maximum size function is: max (t,g)=2 v ; S305, calculating the degree of wear of the paper according to a wear degree calculation formula, wherein the wear degree calculation formula is:

5. The method for processing fountain solution recovery data based on data recognition according to claim 4, characterized in that: The S4 comprises the following specific steps: The calculated turbidity of the fountain solution and the degree of wear of the paper are introduced into the fountain solution usage abnormal value calculation strategy to calculate the fountain solution usage abnormal value, and the fountain solution usage abnormal value calculation strategy includes a fountain solution usage abnormal value calculation formula, and the fountain solution usage abnormal value calculation formula is: Among them, α is the turbidity ratio, β is the wear ratio, and α+β=1.

6. The method for processing fountain solution recovery data based on data recognition according to claim 5, characterized in that: The S5 comprises the following specific steps: The calculated fountain solution usage abnormal value is compared with the preset fountain solution function abnormality threshold. If the calculated fountain solution usage abnormal value is less than or equal to the preset fountain solution function abnormality threshold, the fountain solution is judged to meet the recycling standard; if the calculated fountain solution usage abnormal value is greater than the preset fountain solution function abnormality threshold, the fountain solution is judged to not meet the recycling standard.

7. A fountain solution recovery data processing system based on data identification, which is implemented based on the fountain solution recovery data processing method based on data identification as claimed in any one of claims 1 to 6, characterized in that: It includes a control module, a picture acquisition module, a preprocessing module, a liquid turbidity calculation module, a paper wear calculation module, a fountain solution usage abnormality module and a comparison and judgment module. The control module is used to control the operation of the picture acquisition module, the preprocessing module, the liquid turbidity calculation module, the paper wear calculation module, the fountain solution usage abnormality module and the comparison and judgment module. The picture acquisition module is used to collect pictures of the fountain solution and collect pictures of the paper of the file. The preprocessing module is used to preprocess the collected pictures of the fountain solution and the collected pictures of the paper of the file. The liquid turbidity calculation module is used to import the preprocessed fountain solution pictures into the liquid turbidity calculation strategy to calculate the turbidity of the fountain solution.

8. The fountain solution recovery data processing system based on data recognition according to claim 7, characterized in that: The paper wear calculation module is used to import the preprocessed paper image into the paper wear calculation strategy to calculate the paper wear, the fountain solution usage abnormality module is used to import the calculated fountain solution turbidity and paper wear into the fountain solution usage abnormality value calculation strategy to calculate the fountain solution usage abnormality value, and the comparison and judgment module is used to compare the calculated fountain solution usage abnormality value with the preset fountain solution function abnormality threshold value, and judge whether the fountain solution meets the recycling standard according to the comparison result.

Images