CN115439103A - Work ticket verification management method based on signature standard verification - Google Patents
Work ticket verification management method based on signature standard verification Download PDFInfo
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Abstract
The invention belongs to the field of signature verification, relates to a data analysis technology, and aims to solve the problem of low work ticket verification efficiency caused by the fact that the existing work ticket verification management method cannot automatically detect the signature normalization of a work ticket, in particular to a work ticket verification management method based on signature normalization verification, which is used for performing normalization verification analysis on the work ticket: the method comprises the steps of shooting an image of a work ticket, marking the shot image as a verification image, obtaining a template image through a storage module, marking an absolute value of a difference value between a verification area and the verification area as a verification value, and judging whether the shooting proportion of the verification image meets requirements or not through the numerical value of the verification value; the invention can judge whether the image shooting proportion of the work ticket meets the requirement or not, so that the work ticket is shot again when the image shooting proportion does not meet the requirement, and further, whether a signature part exists in a detection area or not can be monitored, and the signature normalization is fed back.
Description
Technical Field
The invention belongs to the field of signature verification, relates to a data analysis technology, and particularly relates to a work ticket verification management method based on signature specification verification.
Background
The work ticket is a written command which permits work on the electrical equipment and system software and is also a written basis for executing safety technical measures, the work ticket number, a work responsible person, a work class member, a work place and work contents, planned work time, work ending time, power failure range, safety measures, a work licensor, a work ticket issuer, a work ticket approver, a comment after power transmission and the like; however, the existing work ticket verification management method does not have the function of automatically detecting the standardization of the work ticket signature, so that the problems of complicated work ticket verification process and low verification efficiency are caused;
in view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a work ticket verification management method based on signature specification verification, which is used for solving the problem of low work ticket verification efficiency caused by the fact that the existing work ticket verification management method cannot automatically detect the specification of the signature of the work ticket.
The technical problems to be solved by the invention are as follows: how to provide a work ticket verification management method capable of automatically detecting the standardization of the work ticket sign.
The purpose of the invention can be realized by the following technical scheme:
a work ticket verification management method based on signature specification verification comprises the following steps:
the method comprises the following steps: and (3) carrying out standard verification analysis on the work ticket: the method comprises the steps of carrying out image shooting on a work ticket, marking the shot image as a verification image, obtaining a template image through a storage module, marking an area value of the work ticket in the verification image as a verification area, marking the area value of the work ticket in the template image as a template area, marking an absolute value of a difference value between the verification area and the verification area as a verification value, and judging whether the shooting proportion of the verification image meets requirements or not through the numerical value of the verification value;
step two: and (3) carrying out verification processing on the verification image: amplifying the image of the detection area into a pixel grid image, carrying out gray scale conversion to obtain a gray value of a pixel grid, obtaining a gray threshold value through a storage module, and comparing the gray value of the pixel grid with the gray threshold value: if the gray value is smaller than the gray threshold, marking the corresponding pixel grid as a covering pixel grid; if the gray value is larger than or equal to the gray threshold, marking the corresponding pixel grid as a blank pixel grid; forming a coverage set by the coverage pixel grids which are contacted with each other;
step three: performing frame line analysis on the coverage set to obtain a transverse expression value and a longitudinal expression value of the coverage set, and performing numerical calculation on the transverse expression value and the longitudinal expression value to obtain an expression coefficient of the coverage set; marking the standard characteristics of the coverage sets according to the numerical value of the expression coefficient, and judging whether the verification processing of the verification image is successful or not according to the standard characteristic marking condition of the coverage sets after all the coverage sets complete the frame line analysis;
step four: carrying out character recognition on the verification area through OCR character recognition software, if the recognition fails, sending a recognition failure signal to a verification management platform by a standard verification module, sending the recognition failure signal to a mobile phone terminal of a manager after the verification management platform receives the recognition failure signal, and simultaneously carrying out unidentifiable marking on a corresponding signatory; if the identification is successful, the standard verification module sends an identification success signal to the verification management platform, and the verification management platform uploads the work ticket to the server after receiving the identification success signal;
step five: and (3) performing standard management on signatory personnel: the method comprises the steps of marking signatory personnel who carry out standard management as management objects, obtaining identification data and standard data of the management objects, carrying out numerical calculation to obtain management coefficients of the management objects, judging whether signature normalization of the management objects meets requirements or not according to the numerical values of the management coefficients, marking the management objects which do not meet the requirements as training objects, and carrying out training analysis on the training objects.
As a preferred embodiment of the present invention, in the first step, the specific process of determining whether the shooting ratio of the verification image meets the requirement includes: obtaining a verification threshold value through a storage module, and comparing the verification value with the verification threshold value: if the verification value is smaller than the verification threshold value, judging that the shooting proportion of the verification image meets the requirement, and carrying out verification processing on the verification image; if the verification value is larger than or equal to the verification threshold value, the shooting proportion of the verification image is judged not to meet the requirement, and the standard verification module sends a re-shooting signal to the verification management platform.
As a preferred embodiment of the present invention, in the step two, the acquiring process of the detection area includes: the method comprises the steps of enabling the upper left corner of the area of a work ticket in a verification image to coincide with the upper left corner of the area of a template image work ticket, rotating the verification image anticlockwise by three hundred sixty degrees, marking the area value of the coincidence area of the verification image work ticket and the area of the template image work ticket as a coincidence value in the rotating process, marking the rotation angle of the verification image with the largest coincidence value as a verification angle, marking the coincidence part of the verification image and the signature area of the template image as a verification area after rotating the verification image anticlockwise by the verification angle, carrying out equal-proportion amplification on the verification area to obtain an amplification area, and marking the non-coincidence part of the amplification area and the verification area as a detection area.
As a preferred embodiment of the present invention, in step three, the process of acquiring the horizontal representation value and the vertical representation value of the coverage set includes: establishing a rectangular coordinate system by taking the lower left corner of the enlarged area as the circle center and the bottom edge of the enlarged area as an X axis, obtaining coordinate values of the covering pixel grids in the covering set in the rectangular coordinate system, randomly selecting the abscissa of one covering pixel grid in the covering set and marking the abscissa as a verification abscissa, marking the number of the abscissas of the remaining covering pixel grids in the covering set, which is the same as the verification abscissa, as a transverse normalization value of the verification abscissa, removing the covering pixel grids with the abscissa in the covering set, which is the same as the verification abscissa, randomly selecting the abscissa of one covering pixel grid again in the remaining covering combination and marking the abscissa as the verification abscissa, and so on until the transverse normalization values of all the verification abscissas the same, summing the transverse normalization values and averaging to obtain the transverse representation value of the covering set; and acquiring the longitudinal expression value of the coverage set according to the method of the same transverse expression value.
In a preferred embodiment of the present invention, in step three, the specific process of marking the canonical features of the overlay set and determining whether the verification process of the verification image is successful includes: obtaining an expression threshold value through a storage module, and comparing an expression coefficient BX with the expression threshold value: if the performance coefficient is larger than or equal to the performance threshold, marking the standard features corresponding to the coverage set as frame lines; if the performance coefficient is smaller than the performance threshold, marking the specification characteristic of the corresponding coverage set as exceeding; after all the coverage sets complete the frame line analysis, if the standard features are the coverage sets which exceed the standard features, the verification processing of the verification image is judged to be failed, the standard verification module sends a verification failure signal to a verification management platform, the verification management platform sends the verification failure signal to a mobile phone terminal of a manager after receiving the verification failure signal, and meanwhile, corresponding signatory personnel are marked with unnormality; and if the standard features of all the coverage sets are frame lines, judging that the verification processing of the verification image is successful.
In a preferred embodiment of the present invention, in step five, the identification data is the number of times that the management object is marked with the unrecognizable mark in L1 month, and the normative data is the number of times that the management object is marked with the unnormal mark in L1 month;
the specific process for judging whether the signature normalization of the management object meets the requirement comprises the following steps: acquiring a management threshold value through a storage module, and comparing a management coefficient of a management object with the management threshold value: if the management coefficient is smaller than the management threshold, judging that the signature normalization of the management object meets the requirement; and if the management coefficient is larger than or equal to the management threshold, judging that the signature normalization of the management object does not meet the requirement.
As a preferred embodiment of the present invention, in step five, the specific process of performing training analysis on the training subjects includes: marking the sum of the identification data and the standard data as mark data, marking the ratio of the identification data and the mark data as an identification ratio, marking the ratio of the standard data and the mark data as a standard ratio, acquiring a measurement ratio through a storage module, and if the identification ratio is greater than the measurement ratio and the standard ratio is less than or equal to the measurement ratio, sending signature training signals to the mobile phone terminal corresponding to the training object; if the standard ratio is larger than the weighing ratio and the recognition ratio is smaller than or equal to the weighing ratio, transmitting a standard training signal to the mobile phone terminal corresponding to the training object; and if the recognition ratio and the standard ratio are both larger than the weighing ratio, transmitting a signature standard training signal to the mobile phone terminal corresponding to the training object.
The invention has the following beneficial effects:
1. whether the image shooting proportion of the work ticket meets the requirement can be judged through standard verification analysis, so that the work ticket is shot again when the image shooting proportion does not meet the requirement, a coverage set exceeding a verification area can be detected through verification processing, whether a signature part exists in the detection area can be monitored, and the signature normalization is fed back;
2. whether the coverage set exceeding the verification area forms a signature part or not can be detected by carrying out frame line analysis on the coverage set, and whether the coverage set forms the signature part or not is judged by the consistency of the abscissa and the ordinate of the coverage set element in a coordinate system, so that whether the signature part of the work ticket exceeds the verification area or not is fed back;
3. can retrain administrator's signature normalization through carrying out standard management to administrator, whether the sign normalization that combines among the historical data administrator by the mark number of times with by the mark distribution condition to administrator judges that whether meeting the demands, and then can be according to being carried out signature training supervision by the pertinence to administrator of mark distribution condition to improve the follow-up signature normalization of corresponding administrator.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method according to a second embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, a work ticket verification management system based on signature specification verification includes a verification management platform, and the verification management platform is communicatively connected with a specification verification module, a specification management module, a server, and a storage module.
The standard verification module is used for performing standard verification analysis on the work ticket: the method comprises the steps of shooting an image of a work ticket, marking the shot image as a verification image, obtaining a template image through a storage module, marking an area value of the work ticket in the verification image as a verification area, marking the area value of the work ticket in the template image as a template area, marking an absolute value of a difference value between the verification area and the verification area as a verification value, obtaining a verification threshold value through the storage module, and comparing the verification value with the verification threshold value: if the verification value is smaller than the verification threshold, judging that the shooting proportion of the verification image meets the requirement, and verifying the verification image; if the verification value is larger than or equal to the verification threshold value, judging that the shooting proportion of the verification image does not meet the requirement, and sending a re-shooting signal to the verification management platform by the standard verification module; the specific process of carrying out verification processing on the verification image comprises the following steps: the method comprises the steps of coinciding the upper left corner of the area of a work ticket in a verification image with the upper left corner of the area of a template image work ticket, rotating the verification image by three hundred sixty degrees anticlockwise, marking the area value of the coincidence area of the verification image work ticket and the area of the template image work ticket as a coincidence value in the rotation process, marking the rotation angle of the verification image with the maximum coincidence value as a verification angle, marking the coincidence part of the verification image with the signature area of the template image as a verification area after rotating the verification image anticlockwise, amplifying the verification area in equal proportion to obtain an amplification area, wherein the amplification range is usually 1.15-1.25, analyzing the coordinate regularity of a coverage pixel grid in a coverage range in frame line analysis, and therefore selecting different amplification factors in a certain range to neglect the influence of the result of the frame line analysis; marking the non-coincident part of the amplification area and the verification area as a detection area, amplifying the image of the detection area into a pixel grid image, carrying out gray scale conversion to obtain the gray value of the pixel grid, obtaining a gray threshold value through a storage module, and comparing the gray value of the pixel grid with the gray threshold value: if the gray value is smaller than the gray threshold value, marking the corresponding pixel grid as a covering pixel grid; if the gray value is larger than or equal to the gray threshold, marking the corresponding pixel grid as a blank pixel grid; forming a coverage set by the coverage pixel grids which are contacted with each other; whether the image shooting proportion of the work ticket meets the requirements or not is judged, so that the work ticket is shot again when the image shooting proportion does not meet the requirements, the coverage set exceeding the verification area can be detected through verification processing, and then whether a signature part exists in the detection area or not can be monitored, and the signature normalization is fed back.
Performing a frame line analysis on the coverage set: establishing a rectangular coordinate system by taking the lower left corner of the amplification area as the circle center and the bottom edge of the amplification area as an X axis, acquiring coordinate values of covering pixel grids in a covering set in the rectangular coordinate system, randomly selecting the abscissa of one covering pixel grid in the covering set and marking the abscissa as a verification abscissa, marking the number of the abscissas of the remaining covering pixel grids in the covering set, which is the same as the verification abscissa, as a transverse normalized value of the verification abscissa, eliminating the covering pixel grids with the abscissa in the covering set, which is the same as the verification abscissa, randomly selecting the abscissa of one covering pixel grid again in the remaining covering combination and marking the abscissa as the verification abscissa, and so on until the transverse normalized values of all the verification abscissas the normalized value are obtained, and summing the transverse normalized values to obtain the average value to obtain the transverse expression value HB of the covering set; acquiring a longitudinal expression value ZB of the coverage set according to a method that the transverse expression values are the same; obtaining an expression coefficient BX of the coverage set through a formula BX = alpha 1 HB + alpha 2 ZB, wherein the expression coefficient is a numerical value reflecting the overlapping degree of the coverage set and the template frame line, and the larger the numerical value of the expression coefficient is, the higher the overlapping degree of the coverage set and the template frame line is, wherein alpha 1 and alpha 2 are proportionality coefficients, and alpha 1 is more than alpha 2 and more than 1; obtaining an expression threshold BXmin through a storage module, and comparing the expression coefficient BX with the expression threshold BXmin: if the performance coefficient BX is larger than or equal to the performance threshold BXmin, marking the standard characteristic corresponding to the coverage set as a frame line; if the performance coefficient BX is smaller than a performance threshold BXmin, marking the specification characteristic of the corresponding coverage set as exceeding; after all the coverage sets complete the frame line analysis, if the standard characteristic is an excessive coverage set, the corresponding coverage set is represented as a signature excessive part, the verification processing failure of the verification image is judged, the standard verification module sends a verification failure signal to a verification management platform, the verification management platform sends the verification failure signal to a mobile phone terminal of a manager after receiving the verification failure signal, and simultaneously, the corresponding signatory carries out non-standard marking; if the standard features of all the coverage sets are frame lines, judging that the verification processing of the verification image is successful; the coverage set is subjected to the frame line analysis, whether the coverage set exceeding the verification area forms a signature part can be detected, and whether the coverage set forms the signature part is judged through the consistency of the abscissa and the ordinate of the coverage set element in the coordinate system, so that whether the signature part of the work ticket exceeds the verification area is fed back.
Carrying out character recognition on the verification area through OCR character recognition software, if the recognition fails, sending a recognition failure signal to a verification management platform by a standard verification module, sending the recognition failure signal to a mobile phone terminal of a manager after the verification management platform receives the recognition failure signal, and simultaneously carrying out unidentifiable marking on a corresponding signatory; if the identification is successful, the standard verification module sends an identification success signal to the verification management platform, and the verification management platform uploads the work ticket to the server after receiving the identification success signal.
The standard management module is used for performing standard management on the signatory: marking signatory personnel who perform standard management as a management object, and acquiring identification data SS and standard data GS of the management object, wherein the identification data SS is the times that the management object is subjected to non-identification marking within L1 month, the standard data GS is the times that the management object is subjected to non-standard marking within L1 month, L1 is a numerical constant, and the numerical value of L1 is set by the management personnel; obtaining a management coefficient GL of the management object through a formula GL = beta 1 × SS + beta 2 × GS, wherein the management coefficient is a numerical value reflecting the standard degree of signature of the management object, and the larger the numerical value of the management coefficient is, the lower the standard degree of signature of the management object is; wherein, the beta 1 and the beta 2 are proportional coefficients, and the beta 1 is more than the beta 2 and more than 1; acquiring a management threshold GLmax through a storage module, and comparing a management coefficient GL of a management object with the management threshold GLmax: if the management coefficient GL is smaller than a management threshold GLmax, judging that the signing normalization of the management object meets the requirement; if the management coefficient GL is larger than or equal to a management threshold GLmax, judging that the signature normalization of the management object does not meet the requirement, marking the corresponding management object as a training object, and performing training analysis on the training object: marking the sum of the identification data SS and the standard data GS as mark data, marking the ratio of the identification data SS to the mark data as an identification ratio, marking the ratio of the standard data GS to the mark data as a standard ratio, acquiring a weighing ratio through a storage module, wherein the weighing ratio is a numerical constant, the numerical value of the weighing ratio is set by a manager, and the value range of the weighing ratio is usually 35-45%; if the recognition ratio is greater than the weighing ratio and the standard ratio is less than or equal to the weighing ratio, transmitting signature training signals to the mobile phone terminal corresponding to the training object; if the standard ratio is larger than the weighing ratio and the recognition ratio is smaller than or equal to the weighing ratio, sending a standard training signal to the mobile phone terminal corresponding to the training object; if the recognition ratio and the standard ratio are both larger than the weighing ratio, sending a signature standard training signal to the mobile phone terminal corresponding to the training object; carry out the restraint to managers' signature normality, whether the sign normality of management personnel is satisfied the requirement and is judged by the sign number of times of combining management personnel in the historical data and by the sign distribution condition, and then can be according to being signed the pertinence of distribution condition and carrying out signature training supervision to management personnel to improve the follow-up signature normality of corresponding management personnel.
Example two
As shown in fig. 2, a work ticket verification management method based on signature specification verification includes the following steps:
the method comprises the following steps: and (3) carrying out standard verification analysis on the work ticket: the method comprises the steps of carrying out image shooting on a work ticket, marking the shot image as a verification image, obtaining a template image through a storage module, marking an area value of the work ticket in the verification image as a verification area, marking the area value of the work ticket in the template image as a template area, marking an absolute value of a difference value between the verification area and the verification area as a verification value, and judging whether the shooting proportion of the verification image meets requirements or not through the numerical value of the verification value;
step two: carrying out verification processing on the verification image: amplifying the image of the detection area into a pixel grid image, performing gray level conversion to obtain a gray level value of a pixel grid, acquiring a gray level threshold value through a storage module, and comparing the gray level value of the pixel grid with the gray level threshold value: if the gray value is smaller than the gray threshold, marking the corresponding pixel grid as a covering pixel grid; if the gray value is larger than or equal to the gray threshold, marking the corresponding pixel grid as a blank pixel grid; forming a coverage set by the mutually contacted coverage pixel grids, monitoring whether a signature part exists in the detection area, and feeding back the signature normalization;
step three: carrying out frame line analysis on the coverage set to obtain a transverse expression value and a longitudinal expression value of the coverage set, and carrying out numerical calculation on the transverse expression value and the longitudinal expression value to obtain an expression coefficient of the coverage set; marking the standard characteristics of the coverage sets according to the numerical values of the expression coefficients, judging whether the verification processing of the verification images is successful or not according to the standard characteristic marking conditions of the coverage sets after all the coverage sets are subjected to frame line analysis, and feeding back whether signature parts of the work tickets exceed verification areas or not;
step four: carrying out character recognition on the verification area through OCR character recognition software, if the recognition fails, sending a recognition failure signal to a verification management platform by a standard verification module, sending the recognition failure signal to a mobile phone terminal of a manager after the verification management platform receives the recognition failure signal, and simultaneously carrying out unidentifiable marking on a corresponding signatory; if the identification is successful, the standard verification module sends an identification success signal to the verification management platform, and the verification management platform uploads the work ticket to the server after receiving the identification success signal;
step five: and (3) performing standard management on signatory personnel: the method comprises the steps of marking signatory personnel who carry out standard management as management objects, obtaining identification data and standard data of the management objects, carrying out numerical calculation to obtain management coefficients of the management objects, judging whether signature normalization of the management objects meets requirements or not according to the numerical values of the management coefficients, marking the management objects which do not meet the requirements in normalization as training objects, and carrying out training analysis on the training objects.
A work ticket verification management method based on signature specification verification is characterized in that during work, an image of a detection area is amplified into a pixel grid image, gray level conversion is carried out on the pixel grid image to obtain a gray level value of a pixel grid, a storage module is used for obtaining a gray level threshold value, and the gray level value of the pixel grid is compared with the gray level threshold value: if the gray value is smaller than the gray threshold value, marking the corresponding pixel grid as a covering pixel grid; if the gray value is larger than or equal to the gray threshold, marking the corresponding pixel grid as a blank pixel grid; forming a coverage set by the mutually contacted coverage pixel grids, monitoring whether a signature part exists in the detection area, and feeding back the signature normalization; performing frame line analysis on the coverage set to obtain a transverse expression value and a longitudinal expression value of the coverage set, and performing numerical calculation on the transverse expression value and the longitudinal expression value to obtain an expression coefficient of the coverage set; marking the standard characteristics of the coverage sets according to the numerical value of the expression coefficient, judging whether the verification processing of the verification image is successful or not according to the standard characteristic marking condition of the coverage sets after all the coverage sets finish the frame line analysis, and feeding back whether the signature part of the work ticket exceeds the verification area or not; carrying out character recognition on the verification area through OCR character recognition software, if the recognition fails, sending a recognition failure signal to a verification management platform by a standard verification module, sending the recognition failure signal to a mobile phone terminal of a manager after the verification management platform receives the recognition failure signal, and simultaneously carrying out unidentifiable marking on a corresponding signatory; if the identification is successful, the standard verification module sends an identification success signal to the verification management platform, and the verification management platform uploads the work ticket to the server after receiving the identification success signal.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula BX = α 1 × hb + α 2 × zb; collecting multiple groups of sample data and setting corresponding expression coefficient for each group of sample data by technicians in the field; substituting the set expression coefficient and the acquired sample data into formulas, forming a linear equation of two-dimensional system by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1 and alpha 2 which are respectively 3.54 and 3.21;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the size depends on the number of sample data and a corresponding expression coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameter and the quantized value is not affected, for example, the representation coefficient is proportional to the value of the lateral representation value.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. A work ticket verification management method based on signature specification verification is characterized by comprising the following steps:
the method comprises the following steps: and (3) carrying out standard verification analysis on the work ticket: the method comprises the steps of carrying out image shooting on a work ticket, marking the shot image as a verification image, obtaining a template image through a storage module, marking an area value of the work ticket in the verification image as a verification area, marking the area value of the work ticket in the template image as a template area, marking an absolute value of a difference value between the verification area and the verification area as a verification value, and judging whether the shooting proportion of the verification image meets requirements or not through the numerical value of the verification value;
step two: and (3) carrying out verification processing on the verification image: amplifying the image of the detection area into a pixel grid image, carrying out gray scale conversion to obtain a gray value of a pixel grid, obtaining a gray threshold value through a storage module, and comparing the gray value of the pixel grid with the gray threshold value: if the gray value is smaller than the gray threshold value, marking the corresponding pixel grid as a covering pixel grid; if the gray value is larger than or equal to the gray threshold, marking the corresponding pixel grid as a blank pixel grid; forming a coverage set by the coverage pixel grids which are contacted with each other;
step three: carrying out frame line analysis on the coverage set to obtain a transverse expression value and a longitudinal expression value of the coverage set, and carrying out numerical calculation on the transverse expression value and the longitudinal expression value to obtain an expression coefficient of the coverage set; marking the standard characteristics of the coverage sets according to the numerical value of the expression coefficient, and judging whether the verification processing of the verification image is successful or not according to the standard characteristic marking condition of the coverage sets after all the coverage sets complete the frame line analysis;
step four: carrying out character recognition on the verification area through OCR character recognition software, if the recognition fails, sending a recognition failure signal to a verification management platform by a standard verification module, sending the recognition failure signal to a mobile phone terminal of a manager after the verification management platform receives the recognition failure signal, and simultaneously marking the corresponding signatory to be unidentifiable; if the identification is successful, the standard verification module sends an identification success signal to the verification management platform, and the verification management platform uploads the work ticket to the server after receiving the identification success signal;
step five: and (3) performing standard management on signatory personnel: the method comprises the steps of marking signatory personnel who carry out standard management as management objects, obtaining identification data and standard data of the management objects, carrying out numerical calculation to obtain management coefficients of the management objects, judging whether signature normalization of the management objects meets requirements or not according to the numerical values of the management coefficients, marking the management objects which do not meet the requirements as training objects, and carrying out training analysis on the training objects.
2. The work ticket verification management method based on signature specification verification as claimed in claim 1, wherein in the step one, the specific process of determining whether the shooting ratio of the verification image meets the requirement includes: obtaining a verification threshold value through a storage module, and comparing the verification value with the verification threshold value: if the verification value is smaller than the verification threshold, judging that the shooting proportion of the verification image meets the requirement, and verifying the verification image; if the verification value is larger than or equal to the verification threshold value, the shooting proportion of the verification image is judged not to meet the requirement, and the standard verification module sends a re-shooting signal to the verification management platform.
3. The work ticket verification management method based on signature specification verification as claimed in claim 1, wherein in the step two, the acquisition process of the detection area comprises: the method comprises the steps of enabling the upper left corner of the area of a work ticket in a verification image to coincide with the upper left corner of the area of a template image work ticket, rotating the verification image anticlockwise by three hundred sixty degrees, marking the area value of the coincidence area of the verification image work ticket and the area of the template image work ticket as a coincidence value in the rotating process, marking the rotation angle of the verification image with the largest coincidence value as a verification angle, marking the coincidence part of the verification image and the signature area of the template image as a verification area after rotating the verification image anticlockwise by the verification angle, carrying out equal-proportion amplification on the verification area to obtain an amplification area, and marking the non-coincidence part of the amplification area and the verification area as a detection area.
4. The work ticket verification management method based on signature specification verification as claimed in claim 1, wherein in step three, the process of acquiring the horizontal and vertical representation values of the coverage set comprises: establishing a rectangular coordinate system by taking the lower left corner of the enlarged area as the circle center and the bottom edge of the enlarged area as an X axis, obtaining coordinate values of the covering pixel grids in the covering set in the rectangular coordinate system, randomly selecting the abscissa of one covering pixel grid in the covering set and marking the abscissa as a verification abscissa, marking the number of the abscissas of the remaining covering pixel grids in the covering set, which is the same as the verification abscissa, as a transverse normalization value of the verification abscissa, removing the covering pixel grids with the abscissa in the covering set, which is the same as the verification abscissa, randomly selecting the abscissa of one covering pixel grid again in the remaining covering combination and marking the abscissa as the verification abscissa, and so on until the transverse normalization values of all the verification abscissas the same, summing the transverse normalization values and averaging to obtain the transverse representation value of the covering set; and acquiring the longitudinal expression value of the coverage set according to the method of the same transverse expression value.
5. The work ticket verification management method based on signature specification verification as claimed in claim 4, wherein in step three, the specific process of marking the specification features of the overlay set and determining whether the verification process of the verification image is successful comprises: obtaining an expression threshold value through a storage module, and comparing the expression coefficient BX with the expression threshold value: if the performance coefficient is larger than or equal to the performance threshold, marking the standard characteristic of the corresponding coverage set as a frame line; if the performance coefficient is smaller than the performance threshold, marking the specification characteristic of the corresponding coverage set as exceeding; after all the coverage sets complete the frame line analysis, if the standard characteristic is an excessive coverage set, the verification processing of the verification image is judged to be failed, the standard verification module sends a verification failure signal to the verification management platform, the verification management platform sends the verification failure signal to a mobile phone terminal of a manager after receiving the verification failure signal, and simultaneously, the corresponding signatory carries out non-standard marking; and if the standard features of all the coverage sets are frame lines, judging that the verification processing of the verification image is successful.
6. The work ticket verification management method based on signature specification verification as claimed in claim 5, wherein in the fifth step, the identification data is the number of times that the management object is marked unrecognizably within L1 month, and the specification data is the number of times that the management object is marked unnormally within L1 month;
the specific process for judging whether the signature normalization of the management object meets the requirement comprises the following steps: acquiring a management threshold value through a storage module, and comparing a management coefficient of a management object with the management threshold value: if the management coefficient is smaller than the management threshold, judging that the signature normalization of the management object meets the requirement; if the management coefficient is larger than or equal to the management threshold value, judging that the signature normalization of the management object does not meet the requirement.
7. The work ticket verification management method based on signature specification verification as claimed in claim 6, wherein in step five, the specific process of performing training analysis on the training object comprises: marking the sum of the identification data and the standard data as marking data, marking the ratio of the identification data and the marking data as an identification ratio, marking the ratio of the standard data and the marking data as a standard ratio, acquiring a weighing ratio through a storage module, and if the identification ratio is greater than the weighing ratio and the standard ratio is less than or equal to the weighing ratio, sending a signature training signal to a mobile phone terminal corresponding to a training object; if the standard ratio is larger than the weighing ratio and the recognition ratio is smaller than or equal to the weighing ratio, sending a standard training signal to the mobile phone terminal corresponding to the training object; and if the recognition ratio and the standard ratio are both larger than the weighing ratio, sending a signature standard training signal to the mobile phone terminal corresponding to the training object.
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| CN116704529A (en) * | 2023-06-12 | 2023-09-05 | 南方电网数字平台科技(广东)有限公司 | Work ticket auditing system based on image recognition technology |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116704529A (en) * | 2023-06-12 | 2023-09-05 | 南方电网数字平台科技(广东)有限公司 | Work ticket auditing system based on image recognition technology |
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