A work ticket verification management method based on signature specification verification

Abstract

The present invention belongs to the field of signature verification and involves data analysis technology. It is used to solve the problem of low work ticket verification efficiency caused by the inability of existing work ticket verification management methods to automatically detect the standardization of work ticket signatures. Specifically, it is a work ticket verification management method based on signature standard verification, which performs standard verification analysis on the work ticket: an image of the work ticket is captured and the captured image is marked as a verification image, a template image is obtained through a storage module, the absolute value of the difference between the verification area and the verification area is marked as a verification value, and whether the shooting ratio of the verification image meets the requirements is determined by the numerical value of the verification value; the present invention can determine whether the image shooting ratio of the work ticket meets the requirements, so that the image shooting ratio can be re-shot when it does not meet the requirements, and then whether there is a signature part in the detection area can be monitored, and feedback on the standardization of the signature can be provided.

Description

Technical Field

[0001] The present invention belongs to the field of signature verification and relates to data analysis technology, and specifically is a work ticket verification management method based on signature specification verification. Background Art

[0002] A work permit is a written order authorizing work on electrical equipment and system software, and serves as the written basis for implementing safety and technical measures. It includes the work permit number, person in charge of the work, team members, work location and content, planned work hours, work end time, power outage scope, safety measures, the person who authorizes the work, the person who issues the work permit, the person who approves the work permit, and comments after power is restored. However, existing work permit verification management methods lack the ability to automatically check the standardization of work permit signatures, resulting in a cumbersome and inefficient work permit verification process.

[0003] In response to the above technical problems, this application proposes a solution. Summary of the Invention

[0004] The purpose of the present invention is to provide a work ticket verification management method based on signature standard verification, which is used to solve the problem of low work ticket verification efficiency caused by the inability of existing work ticket verification management methods to automatically detect the standardization of work ticket signatures.

[0005] The technical problem to be solved by the present invention is: how to provide a work ticket verification management method that can automatically detect the standardization of work ticket signatures.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A work ticket verification management method based on signature specification verification includes the following steps:

[0008] Step 1: Conduct standardized verification analysis on the work ticket: Capture an image of the work ticket and mark the captured image as a verification image. Obtain a template image through a storage module. Mark the area value of the work ticket in the verification image as the verification area, and the area value of the work ticket in the template image as the template area. Mark the absolute value of the difference between the verification area and the verification area as the verification value. Use the numerical value of the verification value to determine whether the shooting ratio of the verification image meets the requirements.

[0009] Step 2: Verify the verification image: Enlarge the image of the detection area into a pixel grid image and perform grayscale transformation to obtain the grayscale value of the pixel grid. Obtain the grayscale threshold through the storage module and compare the grayscale value of the pixel grid with the grayscale threshold: If the grayscale value is less than the grayscale threshold, the corresponding pixel grid is marked as a covered pixel grid; if the grayscale value is greater than or equal to the grayscale threshold, the corresponding pixel grid is marked as a blank pixel grid; the covered pixel grids that touch each other are combined into a covered set;

[0010] Step 3: Perform frame line analysis on the covering set and obtain the horizontal and vertical performance values ​​of the covering set. The performance coefficient of the covering set is obtained by numerically calculating the horizontal and vertical performance values. The standard features of the covering set are marked by the numerical value of the performance coefficient. After all covering sets have completed the frame line analysis, the success of the verification process of the verification image is determined by the marking of the standard features of the covering set.

[0011] Step 4: Use OCR text recognition software to perform text recognition in the verification area. If the recognition fails, the standard verification module sends a recognition failure signal to the verification management platform. After receiving the recognition failure signal, the verification management platform sends the recognition failure signal to the manager's mobile terminal and marks the corresponding signatory as unrecognizable. If the recognition is successful, the standard verification module sends a recognition success signal to the verification management platform. After receiving the recognition success signal, the verification management platform uploads the work ticket to the server.

[0012] Step 5: Standardize the management of signatories: Mark the signatories who are subject to standardized management as management objects, obtain the identification data and standard data of the management objects, and perform numerical calculations to obtain the management coefficient of the management objects. Determine whether the standardization of the signatures of the management objects meets the requirements based on the numerical size of the management coefficient. Mark the management objects whose standardization does not meet the requirements as training objects, and conduct training analysis on the training objects.

[0013] As a preferred embodiment of the present invention, in step one, the specific process of determining whether the shooting ratio of the verification image meets the requirements includes: obtaining the verification threshold through the storage module, and comparing the verification value with the verification threshold: if the verification value is less than the verification threshold, it is determined that the shooting ratio of the verification image meets the requirements, and the verification image is verified; if the verification value is greater than or equal to the verification threshold, it is determined that the shooting ratio of the verification image does not meet the requirements, and the standard verification module sends a re-shooting signal to the verification management platform.

[0014] As a preferred embodiment of the present invention, in step 2, the process of acquiring the detection area includes: overlapping the upper left corner of the work ticket area in the verification image with the upper left corner of the work ticket area of ​​the template image, rotating the verification image counterclockwise by three hundred and sixty degrees, marking the overlapping area value of the verification image work ticket area and the template image work ticket area during the rotation process as the overlapping value, marking the verification image rotation angle with the largest overlapping value as the verification angle, after rotating the verification image counterclockwise by the verification angle, marking the overlapping part of the verification image with the signature area of ​​the template image as the verification area, enlarging the verification area proportionally to obtain the enlarged area, and marking the non-overlapping part of the enlarged area and the verification area as the detection area.

[0015] As a preferred embodiment of the present invention, in step three, the process of obtaining the horizontal performance value and the vertical performance value of the coverage set includes: establishing a rectangular coordinate system with the lower left corner of the magnified area as the center and the bottom edge of the magnified area as the X-axis, obtaining the coordinate values ​​of the coverage pixel grids in the coverage set in the rectangular coordinate system, randomly selecting the horizontal coordinate of a coverage pixel grid in the coverage set and marking it as the verification horizontal coordinate, marking the number of remaining coverage pixel grids in the coverage set with the same horizontal coordinate as the verification horizontal coordinate as the horizontal normalization value of the verification horizontal coordinate, eliminating the coverage pixel grids in the coverage set with the same horizontal coordinate as the verification horizontal coordinate, randomly selecting the horizontal coordinate of a coverage pixel grid again in the remaining coverage set and marking it as the verification horizontal coordinate, and so on, until the horizontal normalization values ​​of all verification horizontal coordinates are obtained, summing and averaging the horizontal normalization values ​​to obtain the horizontal performance value of the coverage set; and obtaining the vertical performance value of the coverage set in the same way as the horizontal performance value.

[0016] As a preferred embodiment of the present invention, in step three, the specific process of marking the standard features of the covering set and determining whether the verification processing of the verification image is successful includes: obtaining the performance threshold through the storage module, and comparing the performance coefficient BX with the performance threshold: if the performance coefficient is greater than or equal to the performance threshold, the standard features of the corresponding covering set are marked as frame lines; if the performance coefficient is less than the performance threshold, the standard features of the corresponding covering set are marked as exceeded; after all covering sets have completed the frame line analysis, if there is a covering set whose standard features are exceeded, it is determined that the verification processing of the verification image has failed, and the standard verification module sends a verification failure signal to the verification management platform. After receiving the verification failure signal, the verification management platform sends the verification failure signal to the mobile phone terminal of the administrator, and at the same time marks the corresponding signatory as non-standard; if the standard features of all covering sets are frame lines, it is determined that the verification processing of the verification image is successful.

[0017] As a preferred embodiment of the present invention, in step 5, the identification data is the number of times the management object is marked as unrecognizable within L1 months, and the standard data is the number of times the management object is marked as non-standard within L1 months;

[0018] The specific process of determining whether the signature standardization of the management object meets the requirements includes: obtaining the management threshold through the storage module, and comparing the management coefficient of the management object with the management threshold: if the management coefficient is less than the management threshold, it is determined that the signature standardization of the management object meets the requirements; if the management coefficient is greater than or equal to the management threshold, it is determined that the signature standardization of the management object does not meet the requirements.

[0019] As a preferred embodiment of the present invention, in step five, the specific process of training and analyzing the training object includes: marking the sum of the recognition data and the standard data as the marked data, marking the ratio of the recognition data to the marked data as the recognition ratio, marking the ratio of the standard data to the marked data as the standard ratio, obtaining the measurement ratio through the storage module, if the recognition ratio is greater than the measurement ratio and the standard ratio is less than or equal to the measurement ratio, sending a signature training signal to the mobile phone terminal of the corresponding training object; if the standard ratio is greater than the measurement ratio and the recognition ratio is less than or equal to the measurement ratio, sending a standard training signal to the mobile phone terminal of the corresponding training object; if the recognition ratio and the standard ratio are both greater than the measurement ratio, sending a signature standard training signal to the mobile phone terminal of the corresponding training object.

[0020] The present invention has the following beneficial effects:

[0021] 1. Standardized verification analysis can be used to determine whether the image capture ratio of the work ticket meets the requirements. If the image capture ratio does not meet the requirements, the image can be re-photographed. Verification processing can detect the coverage set that exceeds the verification area, and then monitor whether there is a signature part in the detection area, and provide feedback on the standardization of the signature.

[0022] 2. By performing frame line analysis on the covering set, it is possible to detect whether the covering set that exceeds the verification area constitutes the signature part. The consistency of the horizontal and vertical coordinates of the covering set elements in the coordinate system is used to determine whether the covering set constitutes the signature part, thereby providing feedback on whether the signature part of the work ticket exceeds the verification area;

[0023] 3. By standardizing the management of managers, the standardization of their signatures can be constrained. The number of times managers are marked and the distribution of marks in historical data can be combined to determine whether the standardization of managers' signatures meets the requirements. Then, based on the distribution of marks, targeted signature training and supervision of managers can be carried out to improve the subsequent standardization of the corresponding managers' signatures. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0026] Figure 2 This is a flow chart of the method of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0028] Example 1

[0029] like Figure 1 As shown, a work ticket verification and management system based on signature specification verification includes a verification management platform, which is communicatively connected to a specification verification module, a specification management module, a server and a storage module.

[0030] The standard verification module is used to perform standard verification analysis on the work ticket: take an image of the work ticket and mark the image obtained as the verification image, obtain the template image through the storage module, mark the area value of the work ticket in the verification image as the verification area, mark the area value of the work ticket in the template image as the template area, mark the absolute value of the difference between the verification area and the verification area as the verification value, obtain the verification threshold through the storage module, and compare the verification value with the verification threshold: if the verification value is less than the verification threshold, it is determined that the verification image shooting ratio meets the requirements, and the verification image is verified; ... If the verification value is greater than or equal to the verification threshold, it is determined that the verification image shooting ratio does not meet the requirements, and the standard verification module sends a re-shooting signal to the verification management platform; the specific process of verifying the verification image includes: overlapping the upper left corner of the work ticket area in the verification image with the upper left corner of the work ticket area of ​​the template image, rotating the verification image 360 ​​degrees counterclockwise, and marking the overlapping area value of the verification image work ticket area and the template image work ticket area during the rotation process as the overlapping value, marking the verification image rotation angle with the largest overlapping value as the verification angle, and rotating the verification image counterclockwise by the verification angle. After that, the part of the verification image that overlaps with the signature area of ​​the template image is marked as the verification area, and the verification area is proportionally enlarged to obtain the enlarged area. The enlargement factor range is usually 1.15-1.25. In the frame line analysis, the regularity of the coverage pixel grid coordinates of the coverage range is analyzed. Therefore, the influence of different enlargement factors within a certain range on the result of the frame line analysis can be ignored; the part that does not overlap with the enlarged area and the verification area is marked as the detection area, and the image of the detection area is enlarged to a pixel grid image and grayscale transformation is performed to obtain the grayscale value of the pixel grid. The grayscale threshold is obtained through the storage module. Value, compare the grayscale value of the pixel grid with the grayscale threshold: if the grayscale value is less than the grayscale threshold, the corresponding pixel grid is marked as a covered pixel grid; if the grayscale value is greater than or equal to the grayscale threshold, the corresponding pixel grid is marked as a blank pixel grid; the covered pixel grids that touch each other are formed into a covering set; it is determined whether the image shooting ratio of the work ticket meets the requirements, so that the image shooting ratio is re-shot when it does not meet the requirements. The covering set that exceeds the verification area can be detected through verification processing, and then the presence of the signature part in the detection area can be monitored, and feedback on the signature standardization can be given.

[0031] Perform frame line analysis on the coverage set: establish a rectangular coordinate system with the lower left corner of the magnified area as the center and the bottom edge of the magnified area as the X-axis, obtain the coordinate values ​​of the coverage pixel grids in the coverage set in the rectangular coordinate system, randomly select the horizontal coordinate of a coverage pixel grid in the coverage set and mark it as the verification horizontal coordinate, mark the number of remaining coverage pixel grids in the coverage set with the same horizontal coordinate as the verification horizontal coordinate as the horizontal normalization value of the verification horizontal coordinate, eliminate the coverage pixel grids in the coverage set with the same horizontal coordinate as the verification horizontal coordinate, and randomly select the horizontal coordinate of a coverage pixel grid in the remaining coverage set and mark it as the verification horizontal coordinate. Verify the horizontal coordinate, and so on, until the horizontal normalized values ​​of all verified horizontal coordinates are obtained, and the horizontal normalized values ​​are summed and averaged to obtain the horizontal performance value HB of the covering set; the vertical performance value ZB of the covering set is obtained in the same way as the horizontal performance value; the performance coefficient BX of the covering set is obtained by the formula BX=α1*HB+α2*ZB. It should be noted that the performance coefficient is a value that reflects the degree of overlap between the covering set and the template frame line. The larger the value of the performance coefficient, the higher the degree of overlap between the covering set and the template frame line. α1 and α2 are both proportional coefficients, and α1>α2 >1; obtain the performance threshold BXmin through the storage module, and compare the performance coefficient BX with the performance threshold BXmin: if the performance coefficient BX is greater than or equal to the performance threshold BXmin, the standard feature of the corresponding covering set is marked as a frame line; if the performance coefficient BX is less than the performance threshold BXmin, the standard feature of the corresponding covering set is marked as exceeded; after all covering sets have completed the frame line analysis, if there is a covering set with a standard feature that exceeds, it means that the corresponding covering set is the signature exceeding part, and the verification processing of the verification image is determined to have failed, and the standard verification module sends a verification failure signal to the verification management platform. After receiving the verification failure signal, the verification management platform sends the verification failure signal to the mobile phone terminal of the manager and marks the corresponding signatory as non-standard; if the standard features of all covering sets are frame lines, the verification processing of the verification image is determined to be successful; performing frame line analysis on the covering set can detect whether the covering set that exceeds the verification area constitutes the signature part, and whether the covering set constitutes the signature part is determined by the consistency of the horizontal coordinate and vertical coordinate of the covering set elements in the coordinate system, thereby providing feedback on whether the signature part of the work ticket exceeds the verification area.

[0032] The text in the verification area is recognized by OCR text recognition software. If the recognition fails, the standard verification module sends a recognition failure signal to the verification management platform. After receiving the recognition failure signal, the verification management platform sends the recognition failure signal to the manager's mobile terminal, and at the same time marks the corresponding signatory as unrecognizable; if the recognition is successful, the standard verification module sends a recognition success signal to the verification management platform. After receiving the recognition success signal, the verification management platform uploads the work ticket to the server.

[0033] The standardized management module is used to perform standardized management on the signatories: the signatories who are subject to standardized management are marked as management objects, and the identification data SS and the standardized data GS of the management objects are obtained. The identification data SS is the number of times the management object has been marked as unrecognizable within L1 months, and the standardized data GS is the number of times the management object has been marked as non-standardized within L1 months. L1 is a numerical constant, and the value of L1 is set by the management personnel. The management coefficient GL of the management object is obtained through the formula GL=β1*SS+β2*GS. It should be noted that the management coefficient is a value that reflects the degree of standardization of the signature of the management object. The larger the value of the management coefficient, the lower the degree of standardization of the signature of the management object. β1 and β2 are both proportional coefficients, and β1>β2>1. The management threshold GLmax is obtained through the storage module, and the management coefficient GL of the management object is compared with the management threshold GLmax: if the management coefficient GL is less than the management threshold GLmax, it is determined that the signature standardization of the management object meets the requirements; if the management coefficient GL is greater than or equal to the management threshold GLmax, it is determined that the signature standardization of the management object does not meet the requirements, and the corresponding management object is The object is marked as a training object, and a training analysis is performed on the training object: the sum of the recognition data SS and the standard data GS is marked as the marked data, the ratio of the recognition data SS to the marked data is marked as the recognition ratio, and the ratio of the standard data GS to the marked data is marked as the standard ratio. The measurement ratio is obtained through the storage module. The measurement ratio is a numerical constant. The value of the measurement ratio is set by the administrator. The value range of the measurement ratio is usually 35%-45%; if the recognition ratio is greater than the measurement ratio and the standard ratio is less than or equal to the measurement ratio, a signature training signal is sent to the mobile phone terminal of the corresponding training object; if the standard ratio is greater than the measurement ratio and the recognition ratio is less than or equal to the measurement ratio, a standard training signal is sent to the mobile phone terminal of the corresponding training object; if the recognition ratio and the standard ratio are both greater than the measurement ratio, a signature standard training signal is sent to the mobile phone terminal of the corresponding training object; the signature standardization of the administrator is constrained, and the number of times the administrator is marked and the distribution of the marks in the historical data are combined to determine whether the signature standardization of the administrator meets the requirements. Then, the signature training supervision of the administrator can be carried out in a targeted manner according to the marked distribution to improve the subsequent signature standardization of the corresponding administrator.

[0034] Example 2

[0035] like Figure 2 As shown, a work ticket verification management method based on signature specification verification includes the following steps:

[0036] Step 1: Conduct standardized verification analysis on the work ticket: Capture an image of the work ticket and mark the captured image as a verification image. Obtain a template image through a storage module. Mark the area value of the work ticket in the verification image as the verification area, and the area value of the work ticket in the template image as the template area. Mark the absolute value of the difference between the verification area and the verification area as the verification value. Use the numerical value of the verification value to determine whether the shooting ratio of the verification image meets the requirements.

[0037] Step 2: Verify the verification image: The image of the detection area is enlarged into a pixel grid image and grayscale transformed to obtain the grayscale value of the pixel grid. The grayscale threshold is obtained through the storage module, and the grayscale value of the pixel grid is compared with the grayscale threshold. If the grayscale value is less than the grayscale threshold, the corresponding pixel grid is marked as a covered pixel grid; if the grayscale value is greater than or equal to the grayscale threshold, the corresponding pixel grid is marked as a blank pixel grid. The overlapping pixel grids that touch each other are formed into a covering set. The presence of the signature part in the detection area is monitored, and feedback on the standardization of the signature is provided.

[0038] Step 3: Perform frame line analysis on the covering set and obtain the horizontal and vertical performance values ​​of the covering set. The performance coefficient of the covering set is obtained by numerically calculating the horizontal and vertical performance values. The standard features of the covering set are marked by the numerical value of the performance coefficient. After all covering sets have completed the frame line analysis, the success of the verification process of the verification image is determined by the marking of the standard features of the covering set, and feedback is provided on whether the signature part of the work ticket exceeds the verification area.

[0039] Step 4: Use OCR text recognition software to perform text recognition in the verification area. If the recognition fails, the standard verification module sends a recognition failure signal to the verification management platform. After receiving the recognition failure signal, the verification management platform sends the recognition failure signal to the manager's mobile terminal and marks the corresponding signatory as unrecognizable. If the recognition is successful, the standard verification module sends a recognition success signal to the verification management platform. After receiving the recognition success signal, the verification management platform uploads the work ticket to the server.

[0040] Step 5: Standardize the management of signatories: Mark the signatories who are subject to standardized management as management objects, obtain the identification data and standard data of the management objects, and perform numerical calculations to obtain the management coefficient of the management objects. Determine whether the standardization of the signatures of the management objects meets the requirements based on the numerical size of the management coefficient. Mark the management objects whose standardization does not meet the requirements as training objects, and conduct training analysis on the training objects.

[0041] A work ticket verification management method based on signature specification verification, when working, the image of the detection area is magnified into a pixel grid image and grayscale transformation is performed to obtain the grayscale value of the pixel grid, the grayscale threshold is obtained through the storage module, and the grayscale value of the pixel grid is compared with the grayscale threshold: if the grayscale value is less than the grayscale threshold, the corresponding pixel grid is marked as a covered pixel grid; if the grayscale value is greater than or equal to the grayscale threshold, the corresponding pixel grid is marked as a blank pixel grid; the covered pixel grids that are in contact with each other are formed into a covering set, and the presence of a signature part in the detection area is monitored, and feedback is given on the signature standardization; the covering set is subjected to frame line analysis and the horizontal performance value and the vertical performance value of the covering set are obtained, and the performance coefficient of the covering set is obtained by numerically calculating the horizontal performance value and the vertical performance value; The numerical value of the over-expression coefficient is used to mark the standard features of the coverage set. After the frame line analysis of all coverage sets is completed, the success of the verification processing of the verification image is judged by the marking of the standard features of the coverage set, and feedback is given on whether the signature part of the work ticket exceeds the verification area; the text in the verification area is recognized by the OCR text recognition software. If the recognition fails, the standard verification module sends a recognition failure signal to the verification management platform. After receiving the recognition failure signal, the verification management platform sends the recognition failure signal to the manager's mobile terminal, and at the same time marks the corresponding signatory as unrecognizable; if the recognition is successful, the standard verification module sends a recognition success signal to the verification management platform. After receiving the recognition success signal, the verification management platform uploads the work ticket to the server.

[0042] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

[0043] The above formulas are all obtained by collecting a large amount of data and performing software simulation to obtain a formula that is close to the actual value. The coefficients in the formula are set by those skilled in the art based on actual conditions; for example: formula BX = α1*HB + α2*ZB; those skilled in the art collect multiple groups of sample data and set corresponding performance coefficients for each group of sample data; the set performance coefficients and the collected sample data are substituted into the formula, and any two formulas form a system of linear equations of two variables. The calculated coefficients are screened and averaged, and the values ​​of α1 and α2 are obtained as 3.54 and 3.21, respectively;

[0044] The size of the coefficient is to quantify each parameter to obtain a specific numerical value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding performance coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the performance coefficient is proportional to the value of the horizontal performance value.

[0045] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0046] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A work ticket verification management method based on signature specification verification, characterized in that: The following steps are involved: Step 1: Conduct standardized verification analysis on the work ticket: Capture an image of the work ticket and mark the captured image as a verification image. Obtain a template image through a storage module. Mark the area value of the work ticket in the verification image as the verification area, and the area value of the work ticket in the template image as the template area. Mark the absolute value of the difference between the verification area and the verification area as the verification value. Use the numerical value of the verification value to determine whether the shooting ratio of the verification image meets the requirements. Step 2: Verify the verification image: Enlarge the image of the detection area into a pixel grid image and perform grayscale transformation to obtain the grayscale value of the pixel grid. Obtain the grayscale threshold through the storage module and compare the grayscale value of the pixel grid with the grayscale threshold: If the grayscale value is less than the grayscale threshold, the corresponding pixel grid is marked as a covered pixel grid; if the grayscale value is greater than or equal to the grayscale threshold, the corresponding pixel grid is marked as a blank pixel grid; the covered pixel grids that touch each other are combined into a covered set; Step 3: Perform frame line analysis on the covering set and obtain the horizontal and vertical performance values ​​of the covering set. The performance coefficient of the covering set is obtained by numerically calculating the horizontal and vertical performance values. The standard features of the covering set are marked by the numerical value of the performance coefficient. After all covering sets have completed the frame line analysis, the success of the verification process of the verification image is determined by the marking of the standard features of the covering set. Step 4: Use OCR text recognition software to perform text recognition in the verification area. If the recognition fails, the standard verification module sends a recognition failure signal to the verification management platform. After receiving the recognition failure signal, the verification management platform sends the recognition failure signal to the manager's mobile terminal and marks the corresponding signatory as unrecognizable. If the recognition is successful, the standard verification module sends a recognition success signal to the verification management platform. After receiving the recognition success signal, the verification management platform uploads the work ticket to the server. Step 5: Standardize the management of signatories: Mark the signatories who are subject to standardized management as management objects, obtain the identification data and standard data of the management objects, and perform numerical calculations to obtain the management coefficient of the management objects. Determine whether the standardization of the signatures of the management objects meets the requirements based on the numerical size of the management coefficient. Mark the management objects whose standardization does not meet the requirements as training objects, and conduct training analysis on the training objects.

2. A work ticket verification management method based on signature specification verification according to claim 1, characterized in that: In step one, the specific process of determining whether the shooting ratio of the verification image meets the requirements includes: obtaining the verification threshold through the storage module, and comparing the verification value with the verification threshold: if the verification value is less than the verification threshold, it is determined that the shooting ratio of the verification image meets the requirements, and the verification image is verified; if the verification value is greater than or equal to the verification threshold, it is determined that the shooting ratio of the verification image does not meet the requirements, and the standard verification module sends a re-shooting signal to the verification management platform.

3. A work ticket verification management method based on signature specification verification according to claim 1, characterized in that: In step 2, the process of acquiring the detection area includes: overlapping the upper left corner of the work ticket area in the verification image with the upper left corner of the work ticket area of ​​the template image, rotating the verification image counterclockwise by 360 degrees, marking the overlapping area value of the verification image work ticket area and the template image work ticket area during the rotation process as the overlapping value, marking the verification image rotation angle with the largest overlapping value as the verification angle, rotating the verification image counterclockwise by the verification angle, marking the overlapping part of the verification image with the signature area of ​​the template image as the verification area, enlarging the verification area proportionally to obtain the enlarged area, and marking the non-overlapping part of the enlarged area and the verification area as the detection area.

4. A work ticket verification management method based on signature specification verification according to claim 1, characterized in that: In step three, the process of obtaining the horizontal and vertical expression values ​​of the coverage set includes: establishing a rectangular coordinate system with the lower left corner of the magnified area as the center and the bottom edge of the magnified area as the X-axis, obtaining the coordinate values ​​of the coverage pixel grids in the coverage set in the rectangular coordinate system, randomly selecting the horizontal coordinate of a coverage pixel grid in the coverage set and marking it as the verification horizontal coordinate, marking the number of remaining coverage pixel grids in the coverage set with the same horizontal coordinate as the verification horizontal coordinate as the horizontal normalized value of the verification horizontal coordinate, eliminating the coverage pixel grids in the coverage set with the same horizontal coordinate as the verification horizontal coordinate, and randomly selecting the horizontal coordinate of a coverage pixel grid in the remaining coverage set and marking it as the verification horizontal coordinate, and so on, until the horizontal normalized values ​​of all verification horizontal coordinates are obtained, summing and averaging the horizontal normalized values ​​to obtain the horizontal expression value of the coverage set; and obtaining the vertical expression value of the coverage set in the same way as the horizontal expression value.

5. A work ticket verification management method based on signature specification verification according to claim 4, characterized in that: In step three, the specific process of marking the standard features of the covering set and determining whether the verification processing of the verification image is successful includes: obtaining the performance threshold through the storage module, and comparing the performance coefficient BX with the performance threshold: if the performance coefficient is greater than or equal to the performance threshold, the standard features of the corresponding covering set are marked as frame lines; if the performance coefficient is less than the performance threshold, the standard features of the corresponding covering set are marked as exceeded; after all covering sets have completed the frame line analysis, if there is a covering set whose standard features are exceeded, it is determined that the verification processing of the verification image has failed, and the standard verification module sends a verification failure signal to the verification management platform. After receiving the verification failure signal, the verification management platform sends the verification failure signal to the administrator's mobile phone terminal, and at the same time marks the corresponding signatory as non-standard; if the standard features of all covering sets are frame lines, it is determined that the verification processing of the verification image is successful.

6. A work ticket verification management method based on signature specification verification according to claim 5, characterized in that: In step 5, the identification data is the number of times the management object is marked as unidentifiable within L1 months, and the standard data is the number of times the management object is marked as non-standard within L1 months; The specific process of determining whether the signature standardization of the management object meets the requirements includes: obtaining the management threshold through the storage module, and comparing the management coefficient of the management object with the management threshold: if the management coefficient is less than the management threshold, it is determined that the signature standardization of the management object meets the requirements; if the management coefficient is greater than or equal to the management threshold, it is determined that the signature standardization of the management object does not meet the requirements.

7. A work ticket verification management method based on signature specification verification according to claim 6, characterized in that: In step five, the specific process of training and analyzing the training object includes: marking the sum of the recognition data and the standard data as the marked data, marking the ratio of the recognition data to the marked data as the recognition ratio, marking the ratio of the standard data to the marked data as the standard ratio, obtaining the measurement ratio through the storage module, if the recognition ratio is greater than the measurement ratio and the standard ratio is less than or equal to the measurement ratio, then sending a signature training signal to the mobile phone terminal of the corresponding training object; if the standard ratio is greater than the measurement ratio and the recognition ratio is less than or equal to the measurement ratio, then sending a standard training signal to the mobile phone terminal of the corresponding training object; if both the recognition ratio and the standard ratio are greater than the measurement ratio, then sending a signature standard training signal to the mobile phone terminal of the corresponding training object.

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