Information auditing method and system based on rule engine and storage medium

Abstract

The invention discloses an information auditing method and system based on a rule engine and a storage medium, a series of rigorous, detailed and comprehensive auditing rules are preset by creating the rule engine, and examination application information in all aspects is covered. By means of the system and the method, automatic and intelligent auditing of examinee application information is achieved. On one hand, the auditing efficiency is greatly improved, mass application data is quickly processed, the application period is shortened, and the examination application experience of examinees is improved. And on the other hand, the accuracy and consistency of the auditing result are ensured, auditing deviation caused by human factors is avoided, and the fairness and justice of auditing are ensured. Besides, standardized and normalized management of the auditing process can be realized, data collection and arrangement, statistical analysis and optimization and upgrading of subsequent processes are facilitated, and an efficient, accurate and reliable information auditing solution is provided for qualification registration work of middle and primary school teachers.

Description

Technical Field

[0001] The present invention belongs to the field of information auditing, and in particular relates to an information auditing method, system and storage medium based on a rule engine. Background Art

[0002] In the traditional registration process for primary and secondary school teacher qualifications, the review of candidates' application information mainly relies on manual operations. The manual review method requires a lot of manpower and time costs. The reviewers need to check the information submitted by the candidates one by one, such as whether they are students in school, whether the current grade meets the requirements, whether the name has special characters, whether the learning form meets the requirements, whether the school name is correct, whether the application subjects meet the requirements, whether the school code is correct, whether the residence permit number meets the requirements, etc. This is not only inefficient, but also prone to errors or inconsistencies in the review results due to factors such as fatigue, negligence or personal judgment differences of the reviewers. In addition, with the increase in the number of applicants, manual review is difficult to meet the needs of quickly processing a large amount of application information, which is easy to cause delays in the application process, affecting the candidates' application experience and the organization and arrangement of the entire teacher qualification examination. In today's digital age, information technology is widely used in various fields, and automated and intelligent review systems have become an urgent need to improve work efficiency and accuracy. Summary of the invention

[0003] The purpose of the present invention is to provide an information review method, system and storage medium based on a rule engine, which is specifically applied to the registration process for primary and secondary school teacher qualifications, and aims to solve the many drawbacks of traditional manual review methods in the review of registration information for primary and secondary school teacher qualifications.

[0004] The technical solution of the present invention is: An information review method based on a rule engine is applied to the registration process for primary and secondary school teacher qualifications, including: Step 1: Rule engine construction and rule setting: Build a rule engine platform to set review rules for various application information based on the application requirements for primary and secondary school teacher qualifications and relevant policies and regulations; Step 2: Information capture: Establish a data interface with the primary and secondary school teacher qualification registration system to fully collect the registration information submitted by candidates and import it into the rule engine platform; Step 3: Information preprocessing and format conversion: Pre-process the collected application information; data format conversion is to convert various types of information into a format that can be recognized and processed by the rule engine to ensure the accuracy and compatibility of the information in the subsequent review process; Step 4: Automated review driven by rule engine: Start the rule engine and automatically review the pre-processed candidate registration information according to the pre-built rule library; the rule engine extracts various rules and matches the registration information with the rules; Step 5: Audit result output and feedback: After the review is completed, an audit result report will be generated to clearly indicate whether each application information has passed the review.

[0005] Preferably, in step 1, rule engine construction and rule setting include: To determine whether a student is currently enrolled, set up rules and logic to connect with the student registration system data or make judgments based on uploaded certification materials; To determine whether the current grade meets the requirements, formulate grade range limitation rules corresponding to different academic levels; Regarding special characters in names, clearly define the range of acceptable characters and the rules for prohibited characters; In terms of learning forms, determine the compliance judgment rules for different learning forms such as full-time and part-time; For school names and codes, establish rules for comparison with the education department's school information database or matching based on the established school list; For the examination subjects, review rules are set according to the professional categories and application restrictions; For residence permit numbers, set rules for format verification and data interaction verification with relevant departments.

[0006] Preferably, in step 1, regarding the special characters of the name, a character pattern recognition algorithm is also used, including a regular expression combined with an abnormal character detection model in machine learning; In terms of learning forms, a connection with the certification system of educational institutions is also established to obtain the certification details of the learning forms provided by the institution in real time to ensure that the learning forms filled in by the candidates are authentic and valid and meet the application requirements; A geographic location information verification mechanism has also been introduced for the residence permit number, including comparing the regional information corresponding to the residence permit number with the geographic information database of the application area, to confirm the rationality of the candidate's residential area and the application location, and to prevent illegal cross-regional applications.

[0007] Preferably, in step 3, the collected application information is preprocessed, including data cleaning, to remove redundant, erroneous or incomplete data in the information; Data format conversion includes standardizing the encoding of text information and normalizing digital information into a specific format.

[0008] Preferably, in step 4, the rule engine extracts each rule one by one and matches the application information with it.

[0009] Preferably, in step 4, the rule engine adopts a parallel audit strategy, assigning different audit threads or sub-engines to conduct audits simultaneously for different types of application information, thereby improving audit efficiency.

[0010] Preferably, in step 4, during the audit process, the rule engine records the intermediate results and detailed data information of the audit in real time, including the matching status of each rule, the audit time, etc., for subsequent query and analysis.

[0011] Preferably, in step 5, for items that have not passed the review, the content and reasons for non-compliance with the rules are accurately pointed out, and feedback is given to the candidates through the registration system, and corresponding appeal channels or modification suggestions are provided so that the candidates can carry out subsequent processing; if the candidates have objections to the review results, they submit appeal materials through the appeal channel within the prescribed time, and the review will be conducted again according to the rules.

[0012] An information audit system based on a rule engine, comprising: The rule engine construction and rule setting module builds a rule engine platform and sets the review rules for various application information according to the requirements for primary and secondary school teacher qualification examinations and relevant policies and regulations; The information capture module establishes a data interface with the primary and secondary school teacher qualification registration system to completely collect the registration information submitted by candidates and import it into the rule engine platform; The information preprocessing and format conversion module preprocesses the collected application information; data format conversion is to convert various types of information into a format that can be recognized and processed by the rule engine to ensure the accuracy and compatibility of the information in the subsequent review process; The automated review module driven by the rule engine starts the rule engine and automatically reviews the pre-processed candidate application information according to the pre-built rule library; the rule engine extracts various rules and matches the application information with the rules; The audit result output and feedback module generates an audit result report after the audit is completed, clearly indicating whether each application information has passed the audit.

[0013] A storage medium stores computer program instructions, and when the computer program instructions are read and run by a computer, the information audit method is executed.

[0014] The advantages of the present invention are: The present invention pre-sets a series of rigorous, detailed and comprehensive audit rules by creating a rule engine, covering various aspects of application information such as whether a student is a student at school, current grade, name specification, learning form, school-related information, application subjects, school code and residence permit number. With the help of this system and method, the automated and intelligent audit of the candidate's application information is realized. On the one hand, the audit efficiency is greatly improved, the massive application data can be quickly processed, the registration cycle is shortened, and the candidate's application experience is improved. On the other hand, the accuracy and consistency of the audit results are ensured, the audit deviation caused by human factors is avoided, and the fairness and justice of the audit is guaranteed. In addition, it can realize the standardization and normalization management of the audit process, facilitate data collection and collation, statistical analysis and optimization and upgrading of subsequent processes, and provide an efficient, accurate and reliable information audit solution for the registration of primary and secondary school teacher qualifications. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be further described below in conjunction with the accompanying drawings and embodiments: Figure 1 This is a flow chart of the information audit method based on the rule engine of the present invention; Figure 2 This is an architecture diagram of the information audit system based on the rule engine of the present invention; Figure 3 This is the technical architecture diagram of the rule engine. DETAILED DESCRIPTION

[0016] like Figure 1 As shown, a rule engine-based information review method is applied to the registration process for primary and secondary school teacher qualifications, including: Step 1: Rule engine construction and rule setting: like Figure 3 As shown, a rule engine platform is built to set review rules for various application information based on the application requirements for primary and secondary school teacher qualifications and relevant policies and regulations. For example, for whether a student is in school, set the rule logic for docking with the student registration system data or judging based on the uploaded proof materials; for whether the current grade meets the requirements, formulate grade range limitation rules corresponding to different academic levels; for special characters in names, clarify the acceptable character range and the rules for prohibited characters; in terms of learning forms, determine the compliance judgment rules for different learning forms such as full-time and part-time; for school names and codes, establish rules for comparison with the education department's school information database or matching based on the established school list; for application subjects, set review rules according to professional categories and application restrictions; for residence permit numbers, set format verification and rules for interactive verification of data with relevant departments, etc.

[0017] In the rule engine construction and rule setting steps, for the review of whether the name contains special characters, in addition to the preset acceptable character range and prohibited character rules, character pattern recognition algorithms can also be used, such as regular expressions combined with abnormal character detection models in machine learning. By learning a large amount of normal name data, this model can more accurately identify special character combinations that do not meet the conventional name specifications, thereby improving the accuracy and intelligence of name review. For the compliance judgment of the learning form, in addition to the conventional definition and scope of application, a connection with the certification system of the educational institution can be established to obtain the certification details of the learning form provided by the institution in real time to ensure that the learning form filled in by the candidate is authentic and valid and meets the application requirements. In terms of the review of the residence permit number, in addition to format verification and data interaction verification with relevant departments, a geographic location information verification mechanism can also be introduced. For example, based on the regional information corresponding to the residence permit number, it is compared with the geographic information database of the application area to confirm the rationality of the candidate's residential area and the application location, and prevent the occurrence of cross-regional illegal applications.

[0018] Step 2: Information capture: Establish a data interface with the primary and secondary school teacher qualification registration system to completely collect and import the registration information submitted by candidates, including personal basic information, academic information, school information, registration subject information, and residence permit information (if required), into the information review system based on the rule engine.

[0019] Step 3: Information preprocessing and format conversion: Pre-process the collected application information, including data cleaning to remove redundant, erroneous or incomplete data; data format conversion to convert various types of information into a format that can be recognized and processed by the rule engine, such as standardized encoding of text information and normalization of digital information in a specific format, to ensure the accuracy and compatibility of the information in the subsequent review process.

[0020] Step 4: Automated review driven by rule engine: Start the rule engine and automatically review the pre-processed candidate application information according to the pre-built rule library. The rule engine extracts each rule one by one and matches the application information with it. For example, for information on whether a student is currently enrolled, use the docking with the student registration system or the review rules for supporting materials to make an accurate judgment; for the name of the school, check its correctness based on the comparison rules with the school information database; for the application subjects, evaluate them according to the review rules for professional categories and application restrictions, etc. During the review process, the rule engine records the intermediate results and detailed data information of the review in real time, including the matching status of each rule, review time, etc., for subsequent query and analysis.

[0021] In the automated review process, in addition to sequentially extracting rules for review, the rule engine can adopt a parallel review strategy. Different review threads or sub-engines are assigned to conduct simultaneous reviews for different types of application information (such as basic personal information, educational information, etc.) to improve review efficiency. For example, in a multi-core processor environment, the review of whether a student is enrolled in school, name specifications, etc. are assigned to different cores for parallel processing. In addition to conventional local storage and simple database records, data recording and storage during the review process can utilize a big data storage architecture to perform distributed storage and management of massive amounts of review data, facilitate large-scale data query, statistical analysis, and data mining, and provide data support for subsequent application trend analysis, review process optimization, etc.

[0022] Step 5: Audit result output and feedback: After the review is completed, the system generates a detailed review report, clearly indicating whether each application information has passed the review. For items that have not passed the review, the content and reasons for non-compliance are accurately pointed out, and feedback is given to candidates through the registration system. At the same time, corresponding appeal channels or modification suggestions are provided for candidates to handle in the future. If candidates have objections to the review results, they can submit appeal materials through the appeal channel within the specified time, and the system will review and audit again according to the rules.

[0023] like Figure 2 As shown, the present invention also proposes an information audit system based on a rule engine, which executes the information audit method, including: The rule engine construction and rule setting module builds a rule engine platform and sets the review rules for various application information according to the requirements for primary and secondary school teacher qualification examinations and relevant policies and regulations; The information capture module establishes a data interface with the primary and secondary school teacher qualification registration system to completely collect the registration information submitted by candidates and import it into the rule engine platform; The information preprocessing and format conversion module preprocesses the collected application information; data format conversion is to convert various types of information into a format that can be recognized and processed by the rule engine to ensure the accuracy and compatibility of the information in the subsequent review process; The automated review module driven by the rule engine starts the rule engine and automatically reviews the pre-processed candidate application information according to the pre-built rule library; the rule engine extracts various rules and matches the application information with the rules; The audit result output and feedback module generates an audit result report after the audit is completed, clearly indicating whether each application information has passed the audit.

[0024] The present invention further provides a storage medium, on which computer program instructions are stored. When the computer program instructions are read and run by a computer, the information audit method is executed.

[0025] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with the technology to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any modifications made according to the spirit of the main technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A rule engine-based information review method, applied to the registration process for primary and secondary school teacher qualifications, characterized in that: include: Step 1: Rule engine construction and rule setting: Build a rule engine platform to set review rules for various application information based on the application requirements for primary and secondary school teacher qualifications and relevant policies and regulations; Step 2: Information capture: Establish a data interface with the primary and secondary school teacher qualification registration system to fully collect the registration information submitted by candidates and import it into the rule engine platform; Step 3: Information preprocessing and format conversion: Pre-process the collected application information; Data format conversion is to convert all kinds of information into a format that can be recognized and processed by the rule engine, ensuring the accuracy and compatibility of the information in the subsequent review process; Step 4: Automated review driven by rule engine: Start the rule engine and automatically review the pre-processed candidate registration information according to the pre-built rule library; the rule engine extracts various rules and matches the registration information with the rules; Step 5: Audit result output and feedback: After the review is completed, an audit result report will be generated to clearly indicate whether each application information has passed the review.

2. The information audit method based on rule engine according to claim 1 is characterized in that: In step 1, rule engine construction and rule setting include: To determine whether a student is currently enrolled, set up rules and logic to connect with the student registration system data or make judgments based on uploaded certification materials; To determine whether the current grade meets the requirements, formulate grade range limitation rules corresponding to different academic levels; Regarding special characters in names, clearly define the range of acceptable characters and the rules for prohibited characters; In terms of learning forms, determine the compliance judgment rules for different learning forms such as full-time and part-time; For school names and codes, establish rules for comparison with the education department's school information database or matching based on the established school list; For the examination subjects, review rules are set according to the professional categories and application restrictions; For residence permit numbers, set rules for format verification and data interaction verification with relevant departments.

3. The information audit method based on rule engine according to claim 2 is characterized in that: In step 1, regarding the special characters in the name, a character pattern recognition algorithm is also used, including regular expressions combined with an abnormal character detection model in machine learning; In terms of learning forms, a connection with the certification system of educational institutions is also established to obtain the certification details of the learning forms provided by the institution in real time to ensure that the learning forms filled in by the candidates are authentic and valid and meet the application requirements; A geographic location information verification mechanism has also been introduced for the residence permit number, including comparing the regional information corresponding to the residence permit number with the geographic information database of the application area, to confirm the rationality of the candidate's residential area and the application location, and to prevent illegal cross-regional applications.

4. The information audit method based on rule engine according to claim 1 is characterized in that: In step 3, the collected application information is preprocessed, including data cleaning to remove redundant, erroneous or incomplete data; Data format conversion includes standardizing the encoding of text information and normalizing digital information into a specific format.

5. The information audit method based on rule engine according to claim 1 is characterized in that: In step 4, the rule engine extracts each rule one by one and matches the application information with them.

6. The information audit method based on rule engine according to claim 5 is characterized in that: In step 4, the rule engine adopts a parallel review strategy to assign different review threads or sub-engines to review different types of application information at the same time, thereby improving review efficiency.

7. The information audit method based on rule engine according to claim 6 is characterized in that: In step 4, during the audit process, the rule engine records the intermediate results and detailed data information of the audit in real time, including the matching status of each rule, the audit time, etc., for subsequent query and analysis.

8. The information audit method based on rule engine according to claim 1 is characterized in that: In step 5, for projects that have not passed the review, the content and reasons for non-compliance with the rules are accurately pointed out and fed back to the candidates through the registration system. At the same time, corresponding appeal channels or modification suggestions are provided so that the candidates can carry out subsequent processing; if the candidates have objections to the review results, they shall submit appeal materials through the appeal channel within the prescribed time, and the review will be conducted again according to the rules.

9. An information review system based on a rule engine, applied to the registration process for primary and secondary school teacher qualifications, executing the information review method as described in any one of claims 1 to 8, characterized in that: include: The rule engine construction and rule setting module builds a rule engine platform and sets the review rules for various application information according to the requirements for primary and secondary school teacher qualification examinations and relevant policies and regulations; The information capture module establishes a data interface with the primary and secondary school teacher qualification registration system to completely collect the registration information submitted by candidates and import it into the rule engine platform; Information preprocessing and format conversion module, preprocessing the collected application information; Data format conversion is to convert all kinds of information into a format that can be recognized and processed by the rule engine, ensuring the accuracy and compatibility of the information in the subsequent review process; The automated review module driven by the rule engine starts the rule engine and automatically reviews the pre-processed candidate application information according to the pre-built rule library; the rule engine extracts various rules and matches the application information with the rules; The audit result output and feedback module generates an audit result report after the audit is completed, clearly indicating whether each application information has passed the audit.

10. A storage medium, characterized in that: The storage medium stores computer program instructions, and when the computer program instructions are read and executed by a computer, the information audit method according to any one of claims 1 to 8 is executed.

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