CN116245735B - Print control instrument operation supervision system based on data analysis - Google Patents
Print control instrument operation supervision system based on data analysis Download PDFInfo
- Publication number
- CN116245735B CN116245735B CN202310507845.9A CN202310507845A CN116245735B CN 116245735 B CN116245735 B CN 116245735B CN 202310507845 A CN202310507845 A CN 202310507845A CN 116245735 B CN116245735 B CN 116245735B
- Authority
- CN
- China
- Prior art keywords
- coefficient
- image
- abnormal
- module
- seal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000007405 data analysis Methods 0.000 title claims abstract description 16
- 238000007639 printing Methods 0.000 claims abstract description 72
- 238000004458 analytical method Methods 0.000 claims abstract description 63
- 238000012795 verification Methods 0.000 claims abstract description 53
- 230000005856 abnormality Effects 0.000 claims abstract description 50
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 238000004891 communication Methods 0.000 claims abstract description 4
- 230000002159 abnormal effect Effects 0.000 claims description 80
- 238000007789 sealing Methods 0.000 claims description 22
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 239000010893 paper waste Substances 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4038—Image mosaicing, e.g. composing plane images from plane sub-images
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention belongs to the field of printing control instruments, relates to a data analysis technology, and is used for solving the problem that a printing control instrument operation monitoring system in the prior art cannot accurately cover a seal on a seal area of a file, in particular to a printing control instrument operation monitoring system based on data analysis, which comprises an operation monitoring platform, wherein the operation monitoring platform is in communication connection with a user side, a projection module, a covering module, a verification analysis module, a period management module, an abnormality analysis module and a storage module; the user performs identity authentication through the user side, selects a printing type through the user side after the identity authentication, and then places a file to be stamped in a scanning area of the printing control instrument; according to the method, the pre-stamping position of the seal in the file is projected, the user previews the stamping position according to the projection of the seal and adjusts the position of the file, so that the seal can be stamped in the area to be stamped of the file, stamping efficiency is improved, and paper waste caused by stamping failure is avoided.
Description
Technical Field
The invention belongs to the field of printing control instruments, relates to a data analysis technology, and particularly relates to a printing control instrument operation supervision system based on data analysis.
Background
The intelligent seal control machine is a device for carrying out full-closed, automatic, intelligent and specialized management on a plurality of seals, integrates functions of scanning, printing, approval, stamping and fake identification, can rapidly and efficiently complete automatic seal after on-line approval, and ensures that the seal is more scientific, safe and efficient to use by recording the seal process in real time based on the requirements of safety control, portability in operation and rapid response;
however, the operation monitoring system of the seal control instrument in the prior art cannot move the file to a proper position before stamping, so that the seal cannot be accurately stamped in the stamping area of the file, and once the stamping position of the seal is excessively shifted, the seal needs to be stamped again, so that the stamping efficiency is low and paper waste is caused;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a print control instrument operation monitoring system based on data analysis, which is used for solving the problem that a seal cannot be accurately stamped in a stamping area of a file in the print control instrument operation monitoring system in the prior art.
The technical problems to be solved by the invention are as follows: how to provide a print controller operation supervision system based on data analysis, which can accurately seal a seal on a seal area of a file.
The aim of the invention can be achieved by the following technical scheme: the operation supervision system of the print control instrument based on data analysis comprises an operation supervision platform, wherein the operation supervision platform is in communication connection with a user side, a projection module, a capping module, a verification analysis module, a period management module, an abnormality analysis module and a storage module;
the user performs identity authentication through the user side, selects a printing type through the user side after the identity authentication, and then places a file to be stamped in a scanning area of the printing control instrument; projecting a seal pattern onto the surface of a file to be sealed through a projection module, moving the file until the seal projection pattern is positioned in a seal area of the file, shooting an image of the file, marking the shot image as a projection image, sealing through a sealing module, shooting the image of the file after sealing is finished, marking the shot image as a sealing image, and transmitting the projection image and the sealing image to a verification analysis module through the sealing module;
the verification analysis module is used for verifying and analyzing the seal position of the stamped image, when the verification analysis result is unqualified, the verification analysis module sends a re-stamping signal to the operation supervision platform, the operation supervision platform sends the re-stamping signal to the user terminal after receiving the re-stamping signal, and the user readjust the file position and stamp after receiving the re-stamping signal;
the period management module is used for periodically managing the operation state of the printing control instrument: generating a management period, acquiring primary data, multiple data and failure data in the management period, performing numerical calculation to obtain an operation coefficient of the printing control instrument in the management period, and judging whether the operation state of the printing control instrument in the management period meets the requirement or not according to the numerical value of the operation coefficient;
the abnormality analysis module is used for analyzing the reasons of abnormal operation of the printing control instrument and marking abnormal characteristics.
As a preferred embodiment of the invention, the specific process of the verification analysis module for verifying and analyzing the seal position of the stamped image comprises the following steps: amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, marking the absolute value of the gray level difference value of the pixel grid overlapped by the projection image and the capping image as the gray level difference value of the pixel grid of the capping image, acquiring a gray level difference threshold value through a storage module, and comparing the gray level difference value with the gray level difference threshold value: if the gray difference value is smaller than the gray difference threshold value, marking the corresponding pixel grid as qualified again; if the gray difference value is greater than or equal to the gray difference threshold value, marking the corresponding pixel grid as a deviation grid; marking the ratio of the number of the deviation cells to the number of the pixels of the capped image as a deviation coefficient, acquiring a deviation threshold value through a storage module, comparing the deviation coefficient with the deviation threshold value, and judging whether the verification analysis result of the file is qualified or not through a comparison result.
As a preferred embodiment of the present invention, the specific process of comparing the deviation coefficient with the deviation threshold value includes: if the deviation coefficient is smaller than the deviation threshold, judging that the verification analysis result is qualified, sending a verification qualified signal to the operation supervision platform by the verification analysis module, and sending the verification qualified signal to the user side after the operation supervision platform receives the verification qualified signal; if the deviation coefficient is larger than or equal to the deviation threshold value, judging that the verification analysis result is not qualified.
As a preferred embodiment of the present invention, the primary data acquisition process includes: marking the number of stamping times of the files with the stamping completed and qualified verification analysis results as the stamping value of the files, and marking the number of files with the stamping value of one as primary data; the process for acquiring the multiple data comprises the following steps: acquiring a cover number threshold value through a storage module, marking the number of files with the cover number smaller than the cover number threshold value as a multi-cover value, and marking the difference value between the multi-cover value and primary data as multiple data; the acquisition process of the failure data comprises the following steps: and marking the files with the covering number not smaller than the covering number threshold value or failed in sealing as failed files, and marking the number of the failed files as failed data.
As a preferred embodiment of the present invention, the specific process for determining whether the operation state of the printing control apparatus in the management period meets the requirement includes: the operation threshold value is obtained through the storage module, and the operation coefficient of the printing control instrument in the management period is compared with the operation threshold value: if the operation coefficient is greater than or equal to the operation threshold value, judging that the operation state of the printing control instrument in the management period meets the requirement, and sending an operation normal signal to an operation supervision platform by the period management module; if the operation coefficient is smaller than the operation threshold value, the operation state of the printing control instrument in the management period is judged to be not satisfied, the period management module sends an operation abnormal signal to the operation supervision platform, and the operation supervision platform sends the operation abnormal signal to the abnormality analysis module after receiving the operation abnormal signal.
As a preferred embodiment of the present invention, the specific process of analyzing the cause of the abnormal operation of the print controller by the abnormality analysis module includes: marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient with the abnormal threshold value: if the anomaly coefficient is greater than or equal to the anomaly threshold, marking the anomaly characteristic of the printing control instrument as capping anomaly, marking the printing type with the largest value of the anomaly value as anomaly type, sending the anomaly type to an operation supervision platform, and sending the anomaly type to a mobile phone terminal of a manager after the operation supervision platform receives the anomaly type; if the abnormality coefficient is smaller than the abnormality threshold, the abnormality characteristic of the printer is marked as projection abnormality, the abnormality analysis module sends a projection abnormality signal to the operation supervision platform, and the operation supervision platform sends the projection abnormality signal to a mobile phone terminal of a manager after receiving the projection abnormality signal.
The working method of the print control instrument operation supervision system based on data analysis comprises the following steps:
step one: the user performs identity authentication through the user side, selects a seal type through the user side after the identity authentication, and performs seal through the seal module;
step two: checking and analyzing the seal position of the stamped image: amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, obtaining a deviation coefficient of the capping image, and judging whether a verification analysis result is qualified or not according to the deviation coefficient;
step three: and periodically managing the operation state of the printing control instrument: generating a management period, acquiring primary data, multiple data and failure data in the management period, performing numerical value calculation to obtain an operation coefficient, and judging whether the operation state of the printing control instrument in the management period meets the requirement or not through the operation coefficient;
step four: analyzing the reasons of abnormal operation of the printing control instrument: and marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, and marking the abnormal characteristic as capped abnormality or projection abnormality through the numerical value of the abnormal coefficient.
The invention has the following beneficial effects:
according to the invention, the projection module can project the pre-stamping position of the seal in the file, a user previews the stamping position according to the projection of the seal and adjusts the file position, so that the seal can be stamped in the area to be stamped of the file, the stamping efficiency is improved, and meanwhile, the paper waste caused by stamping failure is avoided; the seal position of the capped image can be checked and analyzed through the checking and analyzing module, and the deviation coefficient is obtained through analyzing the pixel gray difference value after the projection image is overlapped with the capped image, so that the overlapping degree of the capped image and the projection image is fed back through the deviation coefficient, and early warning is carried out when the overlapping degree of the capped image and the projection image does not meet the requirement, and a user is reminded to seal again, so that the effectiveness of a file is prevented from being damaged due to the deviation of the seal position;
the invention can also carry out periodic management on the running state of the printing control instrument through the period management module, obtains the running coefficient through comprehensive analysis and calculation on a plurality of parameters for managing the stamping of the files in the week, and feeds back the running state of the printing control instrument in the management period through the numerical value of the running coefficient, thereby carrying out early warning and abnormal factor investigation when the running state is abnormal; the cause of the operation abnormality of the printing control instrument can be analyzed through the abnormality analysis module, the abnormality coefficient is obtained through analysis and calculation of the abnormal value of the printing type, so that the distribution condition of the file with the unqualified verification analysis result in the printing type is marked through the abnormality coefficient, the abnormality characteristic is marked through the abnormality coefficient, data support is provided for equipment maintenance, and the abnormality processing efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. 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
As shown in FIG. 1, the operation monitoring system of the print controller based on data analysis comprises an operation monitoring platform, wherein the operation monitoring platform is in communication connection with a user side, a projection module, a capping module, a verification analysis module, a period management module, an abnormality analysis module and a storage module.
The user performs identity authentication through the user side, selects a printing type through the user side after the identity authentication, and then places a file to be stamped in a scanning area of the printing control instrument; projecting a seal pattern onto the surface of a file to be sealed through a projection module, moving the file until the seal projection pattern is positioned in a seal area of the file, shooting an image of the file, marking the shot image as a projection image, sealing through a sealing module, shooting the image of the file after sealing is finished, marking the shot image as a sealing image, and transmitting the projection image and the sealing image to a verification analysis module through the sealing module; the seal is projected at the pre-stamping position in the file, and a user previews the stamping position according to the seal projection and adjusts the file position, so that the seal can be stamped in the to-be-stamped area of the file, the stamping efficiency is improved, and meanwhile, the paper waste caused by stamping failure is avoided.
The verification analysis module is used for carrying out verification analysis on the seal position of the stamped image: amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, marking the absolute value of the gray level difference value of the pixel grid overlapped by the projection image and the capping image as the gray level difference value of the pixel grid of the capping image, acquiring a gray level difference threshold value through a storage module, and comparing the gray level difference value with the gray level difference threshold value: if the gray difference value is smaller than the gray difference threshold value, marking the corresponding pixel grid as qualified again; if the gray difference value is greater than or equal to the gray difference threshold value, marking the corresponding pixel grid as a deviation grid; marking the ratio of the number of the deviation cells to the number of the pixels of the capped image as a deviation coefficient, acquiring a deviation threshold value through a storage module, and comparing the deviation coefficient with the deviation threshold value: if the deviation coefficient is smaller than the deviation threshold, judging that the verification analysis result is qualified, sending a verification qualified signal to the operation supervision platform by the verification analysis module, and sending the verification qualified signal to the user side after the operation supervision platform receives the verification qualified signal; if the deviation coefficient is greater than or equal to the deviation threshold, judging that the verification analysis result is unqualified, sending a re-stamping signal to the operation supervision platform by the verification analysis module, sending the re-stamping signal to the user side after the operation supervision platform receives the re-stamping signal, and readjusting the file position and stamping after the user receives the re-stamping signal; and (3) checking and analyzing the seal position of the capped image, and analyzing the pixel gray difference value after the projection image is overlapped with the capped image to obtain a deviation coefficient, so that the overlapping degree of the capped image and the projection image is fed back through the deviation coefficient, and early warning is carried out when the overlapping degree of the capped image and the projection image does not meet the requirement, and a user is reminded to seal again, so that the effectiveness of the file is prevented from being damaged due to the deviation of the seal position.
The period management module is used for periodically managing the operation state of the printing control instrument: generating a management period, and acquiring primary data YC, multiple data DC and failure data SB in the management period, wherein the primary data YC acquisition process comprises the following steps: marking the number of stamping times of the files with the stamping completed and qualified verification analysis results as the stamping value of the files, and marking the number of files with the stamping value of one as primary data YC; the acquisition process of the multiple data DC comprises the following steps: the method comprises the steps that a cover number threshold value is obtained through a storage module, the number of files with the cover number smaller than the cover number threshold value is marked as a multi-cover value, and the difference value between the multi-cover value and primary data YC is marked as multiple data DC; the acquisition process of the failure data SB includes: marking files with the covering number not smaller than a covering number threshold value or failed in sealing as failed files, and marking the number of the failed files as failure data SB; obtaining an operation coefficient YX of the printing control instrument in a management period according to a formula YX= (alpha 1X YC)/(alpha 2X SB+alpha 3X DC), wherein the operation coefficient is a numerical value reflecting the operation state of the printing control instrument in the management period, and the larger the numerical value of the operation coefficient is, the better the operation state of the printing control instrument in the management period is indicated; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; the operation threshold value YXmin is obtained through the storage module, and the operation coefficient YX of the printing control instrument in the management period is compared with the operation threshold value YXmin: if the operation coefficient YX is greater than or equal to the operation threshold value YXmin, judging that the operation state of the printing control instrument in the management period meets the requirement, and sending an operation normal signal to an operation supervision platform by the period management module; if the operation coefficient YX is smaller than the operation threshold value YXmin, judging that the operation state of the printing control instrument in the management period does not meet the requirement, and sending an operation abnormal signal to an operation supervision platform by the period management module, and sending the operation abnormal signal to an abnormality analysis module after the operation supervision platform receives the operation abnormal signal; the operation state of the printing control instrument is periodically managed, the operation coefficient is obtained through comprehensive analysis and calculation of a plurality of parameters for sealing the files in the management period, and the operation state of the printing control instrument in the management period is fed back through the numerical value of the operation coefficient, so that early warning and abnormal factor investigation are carried out when the operation state is abnormal.
The abnormality analysis module is used for analyzing the reasons of abnormal operation of the printing control instrument: marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient with the abnormal threshold value: if the anomaly coefficient is greater than or equal to the anomaly threshold, marking the anomaly characteristic of the printing control instrument as capping anomaly, marking the printing type with the largest value of the anomaly value as anomaly type, sending the anomaly type to an operation supervision platform, and sending the anomaly type to a mobile phone terminal of a manager after the operation supervision platform receives the anomaly type; if the abnormality coefficient is smaller than the abnormality threshold, marking the abnormality characteristic of the printing control instrument as projection abnormality, and sending a projection abnormality signal to an operation supervision platform by an abnormality analysis module, and sending the projection abnormality signal to a mobile phone terminal of a manager after the operation supervision platform receives the projection abnormality signal; the printing type comprises printing, manual printing, scanning printing, photographing printing and the like; the method comprises the steps of analyzing the reasons of abnormal operation of the printing control instrument, analyzing and calculating abnormal values of the printing type to obtain abnormal coefficients, accordingly, the distribution condition of files with unqualified verification analysis results in the printing type is marked through the abnormal coefficients, data support is provided for equipment maintenance, and the abnormal processing efficiency is improved.
Example two
As shown in fig. 2, a method for supervising the operation of a print controller based on data analysis includes the following steps:
step one: the user performs identity authentication through the user side, selects a seal type through the user side after the identity authentication, and performs seal through the seal module;
step two: checking and analyzing the seal position of the stamped image: amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, obtaining a deviation coefficient of the capping image, and judging whether a verification analysis result is qualified or not according to the deviation coefficient;
step three: and periodically managing the operation state of the printing control instrument: generating a management period, acquiring primary data YC, multiple data DC and failure data SB in the management period, performing numerical value calculation to obtain an operation coefficient YX, and judging whether the operation state of the printing control instrument in the management period meets the requirement or not through the operation coefficient YX;
step four: analyzing the reasons of abnormal operation of the printing control instrument: and marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, and marking the abnormal characteristic as capped abnormality or projection abnormality through the numerical value of the abnormal coefficient.
The operation supervision system of the seal control instrument based on data analysis, while working, users carry on identity authentication through the user side, and choose the type of seal through the user side after identity authentication, seal through the capping module; amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, obtaining a deviation coefficient of the capping image, and judging whether a verification analysis result is qualified or not according to the deviation coefficient; generating a management period, acquiring primary data YC, multiple data DC and failure data SB in the management period, performing numerical value calculation to obtain an operation coefficient YX, and judging whether the operation state of the printing control instrument in the management period meets the requirement or not through the operation coefficient YX; and marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, and marking the abnormal characteristic as capped abnormality or projection abnormality through the numerical value of the abnormal coefficient.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula yx= (α1×yc)/(α2×sb+α3×dc); collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding operation coefficient for each group of sample data; substituting the set operation coefficient and the collected sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 3.74, 2.97 and 2.65 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding operation coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the operation coefficient is directly proportional to the value of the primary data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The operation supervision system of the print control instrument based on data analysis is characterized by comprising an operation supervision platform, wherein the operation supervision platform is in communication connection with a user side, a projection module, a capping module, a verification analysis module, a period management module, an abnormality analysis module and a storage module;
the user performs identity authentication through the user side, selects a printing type through the user side after the identity authentication, and then places a file to be stamped in a scanning area of the printing control instrument; projecting a seal pattern onto the surface of a file to be sealed through a projection module, moving the file until the seal projection pattern is positioned in a seal area of the file, shooting an image of the file, marking the shot image as a projection image, sealing through a sealing module, shooting the image of the file after sealing is finished, marking the shot image as a sealing image, and transmitting the projection image and the sealing image to a verification analysis module through the sealing module;
the verification analysis module is used for verifying and analyzing the seal position of the stamped image, when the verification analysis result is unqualified, the verification analysis module sends a re-stamping signal to the operation supervision platform, the operation supervision platform sends the re-stamping signal to the user terminal after receiving the re-stamping signal, and the user readjust the file position and stamp after receiving the re-stamping signal;
the period management module is used for periodically managing the operation state of the printing control instrument: generating a management period, acquiring primary data, multiple data and failure data in the management period, performing numerical calculation to obtain an operation coefficient of the printing control instrument in the management period, and judging whether the operation state of the printing control instrument in the management period meets the requirement or not according to the numerical value of the operation coefficient;
the operation coefficient is a numerical value reflecting the operation state of the printing control instrument in the management period, and the larger the numerical value of the operation coefficient is, the better the operation state of the printing control instrument in the management period is;
the abnormality analysis module is used for analyzing the reasons of abnormal operation of the printing control instrument and marking abnormal characteristics;
the specific process of checking and analyzing the seal position of the stamped image by the checking and analyzing module comprises the following steps: amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, marking the absolute value of the gray level difference value of the pixel grid overlapped by the projection image and the capping image as the gray level difference value of the pixel grid of the capping image, acquiring a gray level difference threshold value through a storage module, and comparing the gray level difference value with the gray level difference threshold value: if the gray difference value is smaller than the gray difference threshold value, marking the corresponding pixel grid as qualified again; if the gray difference value is greater than or equal to the gray difference threshold value, marking the corresponding pixel grid as a deviation grid; marking the ratio of the number of the deviation cells to the number of the pixel cells of the capped image as a deviation coefficient, acquiring a deviation threshold value through a storage module, comparing the deviation coefficient with the deviation threshold value, and judging whether a verification analysis result of the file is qualified or not through a comparison result;
the specific process of comparing the deviation coefficient with the deviation threshold value comprises the following steps: if the deviation coefficient is smaller than the deviation threshold, judging that the verification analysis result is qualified, sending a verification qualified signal to the operation supervision platform by the verification analysis module, and sending the verification qualified signal to the user side after the operation supervision platform receives the verification qualified signal; if the deviation coefficient is greater than or equal to the deviation threshold value, judging that the verification analysis result is unqualified;
the primary data acquisition process comprises the following steps: marking the number of stamping times of the files with the stamping completed and qualified verification analysis results as the stamping value of the files, and marking the number of files with the stamping value of one as primary data; the process for acquiring the multiple data comprises the following steps: acquiring a cover number threshold value through a storage module, marking the number of files with the cover number smaller than the cover number threshold value as a multi-cover value, and marking the difference value between the multi-cover value and primary data as multiple data; the acquisition process of the failure data comprises the following steps: and marking the files with the covering number not smaller than the covering number threshold value or failed in sealing as failed files, and marking the number of the failed files as failed data.
2. The system of claim 1, wherein the specific process for determining whether the operation state of the printing control instrument in the management period meets the requirement comprises: the operation threshold value is obtained through the storage module, and the operation coefficient of the printing control instrument in the management period is compared with the operation threshold value: if the operation coefficient is greater than or equal to the operation threshold value, judging that the operation state of the printing control instrument in the management period meets the requirement, and sending an operation normal signal to an operation supervision platform by the period management module; if the operation coefficient is smaller than the operation threshold value, the operation state of the printing control instrument in the management period is judged to be not satisfied, the period management module sends an operation abnormal signal to the operation supervision platform, and the operation supervision platform sends the operation abnormal signal to the abnormality analysis module after receiving the operation abnormal signal.
3. The system of claim 2, wherein the anomaly analysis module analyzes the cause of the anomaly in operation of the printer comprising: marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient with the abnormal threshold value: if the anomaly coefficient is greater than or equal to the anomaly threshold, marking the anomaly characteristic of the printing control instrument as capping anomaly, marking the printing type with the largest value of the anomaly value as anomaly type, sending the anomaly type to an operation supervision platform, and sending the anomaly type to a mobile phone terminal of a manager after the operation supervision platform receives the anomaly type; if the abnormality coefficient is smaller than the abnormality threshold, the abnormality characteristic of the printer is marked as projection abnormality, the abnormality analysis module sends a projection abnormality signal to the operation supervision platform, and the operation supervision platform sends the projection abnormality signal to a mobile phone terminal of a manager after receiving the projection abnormality signal.
4. A data analysis based print controller operation monitoring system according to any one of claims 1-3, characterized in that the working method of the data analysis based print controller operation monitoring system comprises the steps of:
step one: the user performs identity authentication through the user side, selects a seal type through the user side after the identity authentication, and performs seal through the seal module;
step two: checking and analyzing the seal position of the stamped image: amplifying the projection image and the capping image into pixel grid images, carrying out gray level conversion, overlapping the projection image and the capping image, obtaining a deviation coefficient of the capping image, and judging whether a verification analysis result is qualified or not according to the deviation coefficient;
step three: and periodically managing the operation state of the printing control instrument: generating a management period, acquiring primary data, multiple data and failure data in the management period, performing numerical value calculation to obtain an operation coefficient, and judging whether the operation state of the printing control instrument in the management period meets the requirement or not through the operation coefficient;
step four: analyzing the reasons of abnormal operation of the printing control instrument: and marking the number of files with unqualified verification analysis results corresponding to the seal types as abnormal values of the seal types, establishing an abnormal set of all abnormal values of the seal types, performing variance calculation on the abnormal set to obtain an abnormal coefficient, and marking the abnormal characteristic as capped abnormality or projection abnormality through the numerical value of the abnormal coefficient.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310507845.9A CN116245735B (en) | 2023-05-08 | 2023-05-08 | Print control instrument operation supervision system based on data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310507845.9A CN116245735B (en) | 2023-05-08 | 2023-05-08 | Print control instrument operation supervision system based on data analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116245735A CN116245735A (en) | 2023-06-09 |
| CN116245735B true CN116245735B (en) | 2023-07-14 |
Family
ID=86631624
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310507845.9A Active CN116245735B (en) | 2023-05-08 | 2023-05-08 | Print control instrument operation supervision system based on data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116245735B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116501532B (en) * | 2023-06-26 | 2023-08-29 | 北京惠朗时代科技有限公司 | Print control instrument operation fault prediction system based on data analysis |
| CN117350750A (en) * | 2023-10-20 | 2024-01-05 | 湖北卓铸网络科技有限公司 | Marketing data analysis system and method based on big data |
| CN117453164A (en) * | 2023-12-22 | 2024-01-26 | 北京裕佳科技有限公司 | Print control instrument platform safety supervision and early warning system based on data analysis |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018159839A (en) * | 2017-03-23 | 2018-10-11 | キヤノン株式会社 | Image projector, control method thereof, program and storage medium |
| JP2019016913A (en) * | 2017-07-06 | 2019-01-31 | キヤノン株式会社 | Projection device, superimposed position adjustment device, image projection system, control method, and program |
| CN210680141U (en) * | 2019-04-23 | 2020-06-05 | 鄂州市中心医院 | Automatic stamping equipment |
| JP2020203428A (en) * | 2019-06-17 | 2020-12-24 | 富士フイルム株式会社 | Method and device for image inspection, program, and image recording system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5998090B2 (en) * | 2013-03-25 | 2016-09-28 | 日立オムロンターミナルソリューションズ株式会社 | Image collation device, image collation method, and image collation program |
| JP2019008478A (en) * | 2017-06-22 | 2019-01-17 | キヤノン株式会社 | Image processing apparatus and method, image projection apparatus, printing apparatus, and image printing projection system |
| CN107323114B (en) * | 2017-06-22 | 2019-08-16 | 珠海汇金科技股份有限公司 | Intrusion detection method, system and the print control instrument of print control instrument |
| CN111284154B (en) * | 2020-03-09 | 2021-08-24 | 江苏尚博信息科技有限公司 | Seal control machine seal control method, device and system based on image recognition |
| CN115620328A (en) * | 2022-10-28 | 2023-01-17 | 国网安徽省电力有限公司物资分公司 | Contract stamp position identification system and method based on image identification |
| CN116061587A (en) * | 2023-02-22 | 2023-05-05 | 北京惠朗时代科技有限公司 | Printing control instrument file positioning and adjusting mechanism based on infrared scanning alignment |
-
2023
- 2023-05-08 CN CN202310507845.9A patent/CN116245735B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018159839A (en) * | 2017-03-23 | 2018-10-11 | キヤノン株式会社 | Image projector, control method thereof, program and storage medium |
| JP2019016913A (en) * | 2017-07-06 | 2019-01-31 | キヤノン株式会社 | Projection device, superimposed position adjustment device, image projection system, control method, and program |
| CN210680141U (en) * | 2019-04-23 | 2020-06-05 | 鄂州市中心医院 | Automatic stamping equipment |
| JP2020203428A (en) * | 2019-06-17 | 2020-12-24 | 富士フイルム株式会社 | Method and device for image inspection, program, and image recording system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116245735A (en) | 2023-06-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116245735B (en) | Print control instrument operation supervision system based on data analysis | |
| US7872584B2 (en) | Analyzing smoke or other emissions with pattern recognition | |
| CN107220937A (en) | A kind of electrical equipment detection infrared panorama image processing method and platform | |
| CN116071030B (en) | Electronic signature data access safety control system based on Internet | |
| CN112085710A (en) | Protection constant value and pressure plate inspection system and method | |
| CN114219799A (en) | Intelligent manufacturing defective product analysis method and system | |
| CN114255784A (en) | Substation equipment fault diagnosis method based on voiceprint recognition and related device | |
| CN115940809A (en) | Solar panel fault detection method based on power data and visual analysis | |
| CN113610788B (en) | Fault monitoring method and device for image acquisition device, electronic equipment and storage medium | |
| CN113094244B (en) | Machine room operation intelligent detection system for data center | |
| CN114091846A (en) | Intelligent printing quality management method, system, device and storage medium | |
| CN116319081B (en) | Electronic signature security management system based on big data cloud platform | |
| CN116204390B (en) | Seal monitoring management method and system based on data analysis | |
| CN117455887A (en) | PCB incoming material detection method, device, equipment and medium based on machine vision | |
| CN116660317A (en) | Hot spot detection method, system, processor and storage medium of photovoltaic array | |
| CN116862843A (en) | Construction site safety risk noninductive inspection method and system | |
| CN116344378A (en) | Intelligent detection system for photovoltaic panel production and detection method thereof | |
| CN115439103A (en) | Work ticket verification management method based on signature standard verification | |
| CN113033326B (en) | Photovoltaic power station construction treading assembly monitoring method | |
| CN115620329A (en) | Stamp deviation intelligent identification method based on artificial intelligence | |
| CN114821025A (en) | Meter identification method and system based on deep learning | |
| CN114463683A (en) | Transformer equipment intelligent monitoring system and method based on artificial intelligence and big data | |
| CN113794277A (en) | Method and system for identifying pressing plate state image | |
| CN112614059A (en) | Transformer substation detection method and device, storage medium and processor | |
| CN114048815B (en) | Power grid operation information sensing system and sensing method based on plant side |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |