Electronic file data quality detection method and system

Abstract

The invention discloses an electronic file data quality detection method and system, and the method comprises the steps: obtaining electronic file data in a to-be-detected list, carrying out the analysis, and obtaining the analyzed electronic file data; performing basic rule detection on the analyzed electronic file data according to a preset basic rule to obtain a basic rule detection result; performing directory rule detection on the analyzed electronic file data according to a preset directory rule to obtain a directory rule detection result; performing general rule detection on the analyzed electronic file data according to a preset general rule to obtain a general rule detection result; and generating a detection report according to the basic rule detection result, the directory rule detection result and the general rule detection result. The electronic file can be automatically detected, the filing quality of the electronic file is improved, document filing work is more efficient and accurate, manpower is released, cost is reduced, and the state of the file can be tracked and monitored in real time.

Description

Technical Field

[0001] The present application relates to the technical field of data quality detection, and in particular to a method and system for detecting the quality of electronic file data. Background Art

[0002] With the continuous deepening of the construction of smart courts, the scientific management and in-depth application of electronic files as an important part of judicial informatization have become the key to improving trial efficiency and quality. The simultaneous generation and in-depth application of electronic files are regarded as key projects in the construction of smart courts. However, the application of electronic files in courts across the country has problems such as unbalanced development and insufficient application, which has affected the quality and application effect of electronic files.

[0003] With the promotion of the single-set electronic case file system in courts across the country, the authenticity and compliance of electronic cases and electronic archives have become particularly important, which has brought additional case file quality inspection work to relevant business departments. Case file quality inspection work must manually proofread the case file quality, case file text content, necessary information, etc.

[0004] At present, the dossier quality inspection process involves multi-faceted comparison and full manual verification of dossier materials, and there are many dossier inspection items. Due to the limitations of manual verification, it is easy to make mistakes, resulting in a high error rate, and manual verification requires a lot of manual intervention, resulting in excessive resource investment and high costs; in addition, it is difficult to track and monitor the status of the dossier in real time during the existing dossier quality inspection process.

[0005] For customers, the file quality inspection process will lead to slower file processing and lower filing efficiency. Due to errors and defects, files need to be filed repeatedly, wasting time and resources. In addition, different personnel have inconsistent review standards for files, which will affect the consistency of the review and thus affect the customer's assessment or performance evaluation. Summary of the invention

[0006] To this end, the present application provides an electronic file data quality detection method and system to solve the problems of high error rate, high cost and difficulty in real-time tracking and monitoring of file status in the existing technology.

[0007] In order to achieve the above objectives, this application provides the following technical solutions:

[0008] In a first aspect, a method for detecting the quality of electronic file data includes:

[0009] Step 1: Obtain the electronic file data in the list to be detected, and parse it to obtain the parsed electronic file data;

[0010] Step 2: Perform basic rule detection on the parsed electronic file data according to the pre-set basic rules to obtain the basic rule detection results;

[0011] Step 3: Perform directory rule detection on the parsed electronic file data according to the pre-set directory rules to obtain the directory rule detection result;

[0012] Step 4: Perform general rule detection on the parsed electronic file data according to the pre-set general rules to obtain the general rule detection results;

[0013] Step 5: Generate a detection report based on the basic rule detection result, the directory rule detection result and the general rule detection result.

[0014] Preferably, in step 1, the electronic file data is pre-captured by RPA to automatically capture the file data and store it in the database.

[0015] Preferably, in step 2, the basic rule detection includes file attribution check, key information verification, seal check, signature check, keyword check, paging check and content duplication check.

[0016] Preferably, the stamp inspection includes a red institute stamp inspection, a red bill-specific stamp inspection and a black receipt stamp inspection.

[0017] Preferably, in step 3, the directory rule detection includes necessary file checking, file page number verification, primary and secondary volume consistency checking, and associated file checking.

[0018] Preferably, in step 4, the general rule detection includes directory and file correspondence check, blank material check, naming specification check and file quality check.

[0019] Preferably, the file quality check includes the presence of noise, black edges, DPI value, residual image, tilt and color.

[0020] In a second aspect, an electronic file data quality detection system includes:

[0021] The electronic file data acquisition module is used to acquire the electronic file data in the to-be-detected list and parse it to obtain the parsed electronic file data;

[0022] The basic rule detection module is used to perform basic rule detection on the parsed electronic file data according to the pre-set basic rules to obtain the basic rule detection results;

[0023] The directory rule detection module is used to perform directory rule detection on the parsed electronic file data according to the pre-set directory rules to obtain the directory rule detection result;

[0024] The general rule detection module is used to perform general rule detection on the parsed electronic file data according to the pre-set general rules to obtain the general rule detection results;

[0025] The detection report generating module is used to generate a detection report according to the basic rule detection result, the directory rule detection result and the general rule detection result.

[0026] In a third aspect, a computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for detecting the quality of electronic file data.

[0027] In a fourth aspect, a computer program product includes a computer program or instructions, which, when executed by a processor, implement the steps of a method for detecting the quality of electronic file data.

[0028] Compared with the prior art, this application has at least the following beneficial effects:

[0029] The present application provides a method and system for detecting the quality of electronic file data, which obtains the electronic file data in the list to be detected and parses it to obtain the parsed electronic file data; performs basic rule detection on the parsed electronic file data according to pre-set basic rules to obtain basic rule detection results; performs directory rule detection on the parsed electronic file data according to pre-set directory rules to obtain directory rule detection results; performs general rule detection on the parsed electronic file data according to pre-set general rules to obtain general rule detection results; generates a detection report based on the basic rule detection results, directory rule detection results and general rule detection results. The electronic file data quality detection method and system provided by the present application can automatically detect electronic files, significantly improve the filing quality of electronic files, make document filing work more efficient and accurate, release manpower, reduce costs, and can track and monitor the status of files in real time. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings should not generally be regarded as limiting conditions for implementing the present application; for example, those skilled in the art are capable of easily making conventional adjustments or further optimizations to the addition / reduction / attribution division, specific shapes, positional relationships, connection methods, dimensional ratios, etc. of certain units (components) based on the technical concepts and exemplary drawings disclosed in the present application.

[0031] Figure 1 A flow chart of a method for detecting the quality of electronic file data provided in Example 1 of the present application;

[0032] Figure 2 A schematic diagram of the structure of an electronic file data quality detection method provided in Example 1 of the present application. DETAILED DESCRIPTION

[0033] The present application is further described below in detail through specific embodiments in conjunction with the accompanying drawings.

[0034] In the description of this application: unless otherwise specified, the meaning of "plurality" is two or more. The terms "first", "second", "third", etc. in this application are intended to distinguish the objects referred to, and do not have special meanings in terms of technical connotations (for example, they should not be understood as emphasizing the importance or order, etc.). Expressions such as "including", "comprising", "having", etc. also mean "not limited to" (certain units, components, materials, steps, etc.).

[0035] The terms such as "upper", "lower", "left", "right", "middle", etc. cited in this application are usually used to indicate the general relative position relationship for the convenience of intuitive understanding by referring to the drawings, and are not absolute limitations on the position relationship in the actual product.

[0036] This application provides a method and system for detecting the quality of electronic case files. Aiming at the pain points of increasing data, uneven quality, and complex manual proofreading in the quality inspection process of court case files, this application aims to combine cutting-edge technologies such as OCR text recognition, image detection, and generative artificial intelligence large models to create a data quality inspection system. The system is aimed at the use scenarios of court electronic case files generated and deeply applied. The system runs through the entire process of case filing, trial, case closing, and archiving, and provides full-time, automated, three-dimensional inspections of trial data timeliness, completeness, accuracy, and compliance, saving judicial resources, improving trial quality and efficiency, providing a solid data foundation for the construction of digital courts, and providing directional guidance for the intensive reform of court auxiliary affairs.

[0037] Embodiment 1

[0038] See also Figure 1 and Figure 2 This embodiment provides a method for detecting the quality of electronic file data, including:

[0039] S1: Obtain the electronic file data in the list to be detected, and parse it to obtain the parsed electronic file data;

[0040] Specifically, the electronic file data in the list to be tested needs to manually add or import case numbers and case types. According to the case number and case type, the electronic file data that has been automatically captured by RPA (robotic process automation, involving OCR text recognition, image detection and generative artificial intelligence large models) and exists in the database is matched. If the case is not matched, it will be displayed that the case number is not searched and the process ends; if the case is matched, the queue parsing and detection will be carried out according to the configured rules.

[0041] When adding a case to the list to be checked, the default page is the Add Case Page. Enter the case number and case type to be checked, click Add, and search the database for this case information. If it is not found, the status is: No case number detected; if it is found, a new case is added to the list, and the status is To be checked. You can add it manually or import it into Excel in batches. You can also download the template before importing and add, delete, and modify it.

[0042] During the detection, the cases are parsed in the order in which they are imported. After the parsing is completed, the case files are tested and the status is "Testing".

[0043] S2: Perform basic rule detection on the parsed electronic file data according to the pre-set basic rules to obtain the basic rule detection results;

[0044] Specifically, before the detection, click on the detection setting to jump to the detection setting page. This embodiment supports multi-stage file inspection. After clicking on the new case stage, set the rules in the stage operation bar. When setting the rules, click on the rule setting to jump to the rule setting page. The rule setting includes basic rule configuration (file rule configuration), directory rule configuration and general rule configuration; you can also enter the edit and delete stages, and you can also enable or disable the stage. After disabling, the stage will no longer be detected.

[0045] When configuring basic rules, first select the court to be configured, enter the case type, and the directory on the left will return the directory information of the court based on the selected court and case type. Then click File to configure the file to be checked. The configurable items of basic rules are:

[0046] File belongs to: In addition to this directory, in which other directories can the current file be placed? Select the number of directories. Multiple selections are allowed.

[0047] Key information check: Which metadata of the current file cannot be empty? If it is empty, an error prompt will be given.

[0048] Stamp check: Stamp check of the current document, including red institute stamp check, red bill special stamp check, and black receipt stamp check.

[0049] Signature check: Check the signature of the current file. Select the signature that needs to be checked for this file and compare it with the value of other files or case information of this case. You can add any signature you want.

[0050] Keyword check: keyword check for the current file. For example, in the check document, it must contain the words "This document is the same as the original document", etc., which can be added at will. If the set keyword is greater than or equal to 2, the option "Whether any one of them is sufficient" is given. If "Any one of them is sufficient" is checked, it is considered correct if one of the multiple keywords is matched, and an error is reported if none of them is matched. If "Any one of them is sufficient" is not checked, all the keywords must be matched, otherwise an error is reported.

[0051] Paging check: whether there are paging in the current file.

[0052] Duplicate content: Check whether the current file content is duplicated. If so, an error message will be displayed. When an error message is displayed, it will indicate which page is duplicated.

[0053] Verification of multiple metadata in the file can be added arbitrarily.

[0054] S3: Performing directory rule detection on the parsed electronic file data according to the pre-set directory rules to obtain the directory rule detection result;

[0055] Specifically, when you configure directory rules in advance, you need to click the directory and configure it on the directory. The configurable items of directory rules are:

[0056] Required file check: Check the required files in the directory. If this configuration is not checked, it doesn’t matter whether the files in the directory exist or not. If the required files are checked, an error will be reported if there are no files. If the required files exist and the file names are restricted, only these file names (including aliases) must exist in the directory. If other files are transferred, an error will be reported.

[0057] Consistency check of primary and secondary volumes: Check the consistency of files in a directory. Select a file in the directory and compare it with files in other directories to see if the number of files, number of pages, or content of files are consistent. At least one comparison item is selected by default.

[0058] Related file check: Check the related files in the directory. If there are files in the current directory, there must be files in other directories, or there must be xxxx and xxxx files. The file name and number can be customized. Click Add on the right to add multiple similar rules.

[0059] The contents of all files in this directory are checked for duplication.

[0060] S4: Performing general rule detection on the parsed electronic file data according to pre-set general rules to obtain general rule detection results;

[0061] Specifically, when configuring the general rules in advance, you only need to configure them once to cover all files, without configuring them one by one. The configurable items of the general rules are:

[0062] Directory and file correspondence: the contents of the directory correspond to the listed folder directory, and the directory page number is consistent with the directory page number. If they are inconsistent, an error will be reported.

[0063] Blank material check: Check "No blank pages are allowed in all files". If a blank page is detected, an error will be reported on that page. If you check "xxxx files and xxxx files are allowed to have blank pages", an error will be reported if blank pages appear in all files except these two files.

[0064] Naming standard check: The file name is not allowed to exceed a certain number of characters. The default value is 60 and can be modified at will. The file name cannot be named in pure English, pure letters, or a combination of pure English + letters. Multiple selections are allowed. If the current configuration rules are matched, an error prompt will be given.

[0065] File quality check: resolution, black border, noise. The default values ​​are resolution of 300 DPI, black border greater than 1 mm, and noise greater than 60. If the current configuration rules are met, an error prompt will be given.

[0066] Incomplete image check: Check whether there are any incomplete files under the file.

[0067] S5: Generate a detection report based on the basic rule detection results, the directory rule detection results and the general rule detection results.

[0068] Specifically, after the test is completed, the results will be returned to the file management system, and the quality inspectors can see the test results and reports of the files, and the test results will be passed or failed.

[0069] The electronic file data quality detection method provided in this embodiment also has the following functions:

[0070] Rule reuse: You can select the configured case type and click Rule reuse to modify the configuration items under the selected case type. You no longer need to preset from scratch, saving configuration time.

[0071] Check the saved configuration: You can check any of them without affecting the configuration rules in the system application.

[0072] Application configuration: When the configuration rules are in use, they can also be modified. After application, the next case to be checked can be checked with the current rules. The case being checked is still the old rule check. The configuration rules can also be cleared with one click.

[0073] Whether to prompt the comparison source: After checking it, there will be a small icon in front of each result on the result viewing page. When you move the mouse over the icon, the value in the current file and the correct value will be displayed, which is convenient for users to check and compare.

[0074] The electronic file data quality detection method provided in this embodiment can check the following data items of the electronic file data through basic rule detection, directory rule detection and general rule detection:

[0075]

[0076] The electronic case file data quality detection method provided in this embodiment can automatically and in real time check the content consistency, key elements, structured information, case file integrity, etc. of the electronic case file and generate a report of the inspection results to promptly discover case file problems. Through automated processing, the quality of filing of judicial documents is significantly improved, ensuring that each document is accurate, making the filing of documents more efficient and accurate; through automated testing, the uniformity of review standards is ensured, repeated filing is avoided, and the workload of judges in manually checking files is effectively reduced, saving judicial resources and improving the quality and efficiency of trials.

[0077] The electronic file data quality detection method provided in this embodiment releases manpower, improves manpower quality and efficiency, reduces costs, and makes the manual replacement rate of file quality inspection work reach 80%; it ensures quality control, improves case quality and efficiency, and makes the intention accuracy rate reach 85%; it provides 24-hour automated inspection without taking up file review time, making document archiving work more efficient and accurate. Compared with manual quality inspection, the efficiency of automatic quality inspection is improved by more than 6 times, and the status of files can be tracked and monitored in real time.

[0078] Embodiment 2

[0079] This embodiment provides an electronic file data quality detection system, including:

[0080] The electronic file data acquisition module is used to acquire the electronic file data in the to-be-detected list and parse it to obtain the parsed electronic file data;

[0081] The basic rule detection module is used to perform basic rule detection on the parsed electronic file data according to the pre-set basic rules to obtain the basic rule detection results;

[0082] The directory rule detection module is used to perform directory rule detection on the parsed electronic file data according to the pre-set directory rules to obtain the directory rule detection result;

[0083] The general rule detection module is used to perform general rule detection on the parsed electronic file data according to the pre-set general rules to obtain the general rule detection results;

[0084] The detection report generating module is used to generate a detection report according to the basic rule detection result, the directory rule detection result and the general rule detection result.

[0085] For the specific implementation content of each module in an electronic file data quality detection system, please refer to the above definition of an electronic file data quality detection method, which will not be repeated here.

[0086] Embodiment 3

[0087] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for detecting the quality of electronic file data are implemented.

[0088] Embodiment 4

[0089] This embodiment provides a computer program product, including a computer program or instructions, which, when executed by a processor, implements the steps of a method for detecting the quality of electronic file data.

[0090] The technical features of the above embodiments may be arbitrarily combined (as long as there is no contradiction in the combination of these technical features). To make the description concise, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written should also be considered to be within the scope of this specification.

Claims

1. A method for detecting the quality of electronic file data, characterized in that: include: Step 1: Obtain the electronic file data in the list to be detected, and parse it to obtain the parsed electronic file data; Step 2: Perform basic rule detection on the parsed electronic file data according to the pre-set basic rules to obtain the basic rule detection results; Step 3: Perform directory rule detection on the parsed electronic file data according to the pre-set directory rules to obtain the directory rule detection result; Step 4: Perform general rule detection on the parsed electronic file data according to the pre-set general rules to obtain the general rule detection results; Step 5: Generate a detection report based on the basic rule detection result, the directory rule detection result and the general rule detection result.

2. The electronic file data quality detection method according to claim 1 is characterized in that: In step 1, the electronic file data is pre-captured by RPA to automatically capture the file data and store it in the database.

3. The electronic file data quality detection method according to claim 1, characterized in that: In step 2, the basic rule detection includes file attribution check, key information check, seal check, signature check, keyword check, paging check and content duplication check.

4. The electronic file data quality detection method according to claim 3 is characterized in that: The stamp inspection includes red institute stamp inspection, red bill special stamp inspection and black receipt stamp inspection.

5. The electronic file data quality detection method according to claim 1 is characterized in that: In step 3, the directory rule detection includes necessary file checking, file page number verification, primary and secondary volume consistency checking, and associated file checking.

6. The electronic file data quality detection method according to claim 1, characterized in that: In step 4, the general rule detection includes directory and file correspondence check, blank material check, naming specification check and file quality check.

7. The electronic file data quality detection method according to claim 6 is characterized in that: The file quality check includes the presence of noise, black edges, DPI value, image residue, tilt and color.

8. An electronic file data quality detection system, characterized in that: include: The electronic file data acquisition module is used to acquire the electronic file data in the to-be-detected list and parse it to obtain the parsed electronic file data; The basic rule detection module is used to perform basic rule detection on the parsed electronic file data according to the pre-set basic rules to obtain the basic rule detection results; The directory rule detection module is used to perform directory rule detection on the parsed electronic file data according to the pre-set directory rules to obtain the directory rule detection result; The general rule detection module is used to perform general rule detection on the parsed electronic file data according to the pre-set general rules to obtain the general rule detection results; The detection report generating module is used to generate a detection report according to the basic rule detection result, the directory rule detection result and the general rule detection result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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