Verification system and method for realizing intelligent examination and approval of auditing point
By designing a smart approval and review point verification system based on Qlexpress, the problem of low manual approval efficiency in the existing technology is solved, and a fast and intelligent approval process is realized, which improves work efficiency and business processing experience.
Patent Information
- Application Number
- CN202510145182.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-10
- Publication Date
- 2025-05-16
AI Technical Summary
In the prior art, the manual approval process is inefficient, the workload is large, and the degree of electronicization, automation and intelligence is low.
Design a smart approval and review point verification system based on Qlexpress, including interface module, rule formula configuration module, rule formula analysis module, declaration data processing module and audit key point judgment module. Through these modules, the declaration data is pushed, key elements are sorted out, factor keywords are extracted, actual data is obtained, and the review results are finally obtained.
It realizes instant access to approval results and quickly completes processing, improves business processing experience, reduces the workload of approval staff, improves work efficiency, and standardizes approval behavior.
Smart Images

Figure CN120013485A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of rule engine application, and specifically provides a verification system and method for realizing intelligent approval review points. Background Art
[0002] In recent years, my country has made remarkable progress and development in the fields of Internet and business services. The construction of business services at all levels has used computer technology to change the approval process that was previously done manually to an intelligent approval process, and it has become a popular trend to make the business process electronic, automated and intelligent.
[0003] However, the manual approval process in the prior art or the automatic manual review of declared data through the board operated in the business system has low work efficiency, heavy workload for approval staff, and low degree of electronicization, automation and intelligence. Summary of the invention
[0004] The present invention aims at the deficiencies of the above-mentioned prior art and provides a verification system with strong practicality for realizing intelligent approval and review points.
[0005] A further technical task of the present invention is to provide a verification method for realizing intelligent approval and review points that is reasonably designed, safe and applicable.
[0006] The technical solution adopted by the present invention to solve its technical problem is:
[0007] A verification system for realizing intelligent approval and audit points, based on Qlexpress, including an interface module, a rule formula configuration module, a rule formula parsing module, a declaration data processing module and an audit key point judgment module;
[0008] The interface module is used to push the declaration data;
[0009] The rule formula configuration module is used to pre-sort out the key elements in each declared data;
[0010] The rule formula parsing module is used to extract element keywords from the formula;
[0011] The declaration data processing module is used to obtain actual data of elements in the declaration data;
[0012] The audit key point judgment module is used to obtain the final audit result.
[0013] Furthermore, in the interface module, the declared data is pushed and the data review results are obtained in the form of a program interface;
[0014] In the rule formula configuration module, key elements in each declared data are pre-sorted, and each audit point is represented by a QLexpress rule formula and stored in a fixed location in the database or data file.
[0015] Furthermore, in the rule formula parsing module, it is responsible for extracting element keywords from the formula, parsing the function method used in this audit, and converting the rule formula into a result formula that can be recognized by the rule engine.
[0016] Furthermore, in the declaration data processing module, after receiving the declaration data, the audit elements and rule formulas required for this declaration data audit are matched through the configuration module, and then the actual data of the elements are obtained from the declaration data.
[0017] Furthermore, in the audit key point judgment module, the parsed result formula, the extracted element keywords and the processed element data are passed into the rule engine, and the used function method is loaded to obtain the final audit result.
[0018] A verification method for realizing intelligent approval review points, based on Qlexpress, has the following steps:
[0019] S1. Push declaration data;
[0020] S2. Pre-sort out the key elements of each declared data;
[0021] S3, extracting element keywords from the formula;
[0022] S4. Actual data of elements obtained in the declared data;
[0023] S5. Obtain the final audit results.
[0024] Further, in step S1, the declared data is pushed and the data review result is obtained in the form of a program interface;
[0025] In step S2, the key elements in each declared data are pre-sorted, and each audit point is represented by a QLexpress rule formula and stored in a fixed location in the database or data file.
[0026] Furthermore, in step S3, it is responsible for extracting element keywords from the formula, parsing the function method used in this audit, and converting the rule formula into a result formula that can be recognized by the rule engine.
[0027] Furthermore, in step S4, after receiving the declaration data, the audit elements and rule formulas required for the current declaration data audit are matched through the configuration module, and then the actual data of the elements are obtained from the declaration data.
[0028] Furthermore, in step S5, in the audit key point judgment module, the parsed result formula, the extracted element keywords and the processed element data are passed into the rule engine, and the used function method is loaded to obtain the final audit result.
[0029] Compared with the prior art, the verification system and method for realizing intelligent approval and review points of the present invention have the following outstanding beneficial effects:
[0030] The present invention greatly reduces the waiting time for applicants after applying for matters, can obtain the feedback of approval results in real time, complete the processing quickly, and improve the experience of business processing.
[0031] It reduces the workload of approval staff, improves work efficiency, and standardizes approval behavior. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0033] Attached Figure 1 It is a framework diagram of a verification system for realizing intelligent approval and review points. DETAILED DESCRIPTION
[0034] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention is further described in detail below in conjunction with specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0035] A best embodiment is given below:
[0036] like Figure 1 As shown, a verification system for realizing intelligent approval review points in this embodiment includes an interface module, a rule formula configuration module, a rule formula parsing module, a declaration data processing module and a review key point judgment module;
[0037] The interface module is used to push declaration data and obtain data review results in the form of a program interface.
[0038] The rule formula configuration module is used to pre-sort out which audit points should be included in each declaration data and which key elements are included in the audit points. Each audit point is represented by a QLexpress rule formula and stored in a fixed location such as a database or data file.
[0039] The rule formula parsing module is used to extract key words from the formula, parse out the function method used in this audit, and convert the rule formula into a result formula that can be recognized by the rule engine.
[0040] The declaration data processing module is used to match the audit elements and rule formulas required for the current declaration data audit through the configuration module after receiving the declaration data, and then obtain the actual data of the elements from the declaration data.
[0041] The audit key points judgment module is responsible for passing the parsed result formula, extracted element keywords and processed element data into the rule engine, and loading the used function method to obtain the final audit result.
[0042] Based on the above method, a verification method for realizing smart approval and review points in this embodiment has the following steps:
[0043] S1. Push declaration data;
[0044] Push declaration data and obtain data review results in the form of program interface;
[0045] S2. Pre-sort out the key elements of each declared data;
[0046] Sort out in advance which audit points should be included in each declared data and which key elements are in the audit points. Each audit point is represented by a QLexpress rule formula and stored in a fixed location such as a database or data file.
[0047] S3, extracting element keywords from the formula;
[0048] Responsible for extracting key words from the formula, parsing the function method used in this audit, and converting the rule formula into a result formula that can be recognized by the rule engine
[0049] S4. Actual data of elements obtained in the declared data;
[0050] After receiving the declaration data, the audit elements and rule formulas required for this declaration data review are matched through the configuration module, and then the actual data of the elements are obtained from the declaration data.
[0051] S5. Obtain the final audit result;
[0052] In the audit key point judgment module, the parsed result formula, extracted element keywords and processed element data are passed into the rule engine, and the used function method is loaded to obtain the final audit result.
[0053] According to the standardized items, we pre-sort out which audit points should be included in each item and which key elements are included in the audit points. Each audit point is represented by a QLexpress rule formula and stored in a fixed location. This step needs to be completed manually in the rule formula configuration management module.
[0054] When the applicant initiates a business application and the business system generates the declaration data, the business system pushes the declaration data through the interface module. The declaration data processing module matches the audit elements and rule formulas required for this declaration data review through the previous configuration, and then obtains the actual data of the elements from the declaration data. The matched rule formula cannot be directly recognized by the rule engine and requires further parsing and processing. The rule formula parsing module is responsible for parsing and extracting the functions and keywords required by the rule engine in this review from the formula, and converting the formula into a result formula that can be recognized by the rule engine.
[0055] The audit point judgment module passes the element data, element keywords, and result formula obtained in the previous steps to the rule engine. The engine will determine whether the application is passed or not based on logical judgment or execution function methods. If there are multiple formulas to be judged, they will be executed in sequence, and the judgment results of each formula will be combined by the pre-set AND or OR logic to obtain the final judgment result. Finally, the result will be returned to the business system through the interface module to inform it of the audit status of the declared data.
[0056] The above-mentioned specific implementations are only specific cases of the present invention. The patent protection scope of the present invention includes but is not limited to the above-mentioned specific implementations. Any technical solutions that conform to the above-mentioned specific implementations of the present invention and any appropriate changes or substitutions made by ordinary technicians in the relevant technical field shall fall within the patent protection scope of the present invention.
[0057] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A verification system for realizing intelligent approval and audit points, characterized in that: Based on Qlexpress, it includes interface module, rule formula configuration module, rule formula parsing module, declaration data processing module and audit key point judgment module; The interface module is used to push the declaration data; The rule formula configuration module is used to pre-sort out the key elements in each declared data; The rule formula parsing module is used to extract element keywords from the formula; The declaration data processing module is used to obtain actual data of elements in the declaration data; The audit key point judgment module is used to obtain the final audit result.
2. According to claim 1, a verification system for realizing intelligent approval and review points is characterized in that: In the interface module, the declared data is pushed and the data review results are obtained in the form of program interface; In the rule formula configuration module, key elements in each declared data are pre-sorted, and each audit point is represented by a QLexpress rule formula and stored in a fixed location in the database or data file.
3. According to claim 2, a verification system for realizing intelligent approval and audit points is characterized in that: In the rule formula parsing module, it is responsible for extracting key words from the formula, parsing the function method used in this audit, and converting the rule formula into a result formula that can be recognized by the rule engine.
4. According to claim 2, a verification system for realizing intelligent approval and review points is characterized in that: In the declaration data processing module, after receiving the declaration data, the audit elements and rule formulas required for this declaration data audit are matched through the configuration module, and then the actual data of the elements are obtained from the declaration data.
5. According to claim 4, a verification system for realizing intelligent approval and audit points is characterized in that: In the audit key point judgment module, the parsed result formula, extracted element keywords and processed element data are passed into the rule engine, and the used function method is loaded to obtain the final audit result.
6. A verification method for realizing intelligent approval and audit points, characterized in that: Based on Qlexpress, the steps are as follows: S1. Push declaration data; S2. Pre-sort out the key elements of each declared data; S3, extracting element keywords from the formula; S4. Actual data of elements obtained in the declared data; S5. Obtain the final audit results.
7. A verification method for realizing intelligent approval and audit points according to claim 6, characterized in that: In step S1, the declared data is pushed and the data review results are obtained in the form of a program interface; In step S2, the key elements in each declared data are pre-sorted, and each audit point is represented by a QLexpress rule formula and stored in a fixed location in the database or data file.
8. A verification method for realizing intelligent approval and audit points according to claim 7, characterized in that: In step S3, it is responsible for extracting element keywords from the formula, parsing the function method used in this audit, and converting the rule formula into a result formula that can be recognized by the rule engine.
9. A verification method for realizing intelligent approval and audit points according to claim 7, characterized in that: In step S4, after receiving the declaration data, the audit elements and rule formulas required for the current declaration data audit are matched through the configuration module, and then the actual data of the elements are obtained from the declaration data.
10. A verification method for realizing intelligent approval and audit points according to claim 7, characterized in that: In step S5, in the audit key point judgment module, the parsed result formula, the extracted element keywords and the processed element data are passed to the rule engine, and the used function method is loaded to obtain the final audit result.