An account payment method and system for government digitalized arrears service
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-24
- Publication Date
- 2026-08-11
AI Technical Summary
[0003]现有技术方案中在进行账户的支付处理过程中,忽视了结合考勤以及合同数据进行欠薪数据的校验处理,从而无法针对性的生成支付策略,在保证企业的资金安全的基础上,避免欠薪情况的出现
[0012] By analyzing the number of accounting processing difficulties of the target company, the contract terms of different accounting processing difficulties, and the attendance data, it is determined whether the payroll processing difficulty of the target company meets the requirements. This method not only considers the number of accounting processing difficulties of the target company, but also the differences in payroll processing difficulty caused by differences in contract terms and attendance data for different accounting processing difficulties. This enables the determination of the payroll processing difficulty of the target company from multiple perspectives, and also lays the foundation for determining differentiated verification processing strategies based on processing difficulty.
Smart Images

Figure CN119941243B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of payment management technology, and in particular relates to an account payment method and system for government digital wage arrears services. Background Technology
[0002] To achieve payment management, the invention patent application CN110738469A, "A Payment Processing Method, Apparatus, and Storage Medium," obtains the real-time payment success rate and the first historical payment success rate corresponding to the current payment channel within the current time range. When the real-time payment success rate is less than the first historical payment success rate, it switches to an alternative payment channel to complete the payment operation. However, the following technical problems exist:
[0003] Existing technical solutions neglect to verify wage arrears data by combining attendance and contract data during the payment process, thus failing to generate targeted payment strategies to ensure the company's financial security and prevent wage arrears.
[0004] To address the aforementioned technical issues, this application specifically provides an account payment method and system for government digital wage arrears services. Summary of the Invention
[0005] To achieve the objectives of this invention, the following technical solution is adopted:
[0006] According to one aspect of the present invention, an account payment method for government digital wage arrears services is provided.
[0007] An account payment method for government digital wage arrears services specifically includes:
[0008] The system obtains the target enterprises for salary management in the government digital system. Based on the contract types and attendance data of different salary management objects in the target enterprises, it determines that the difficulty of calculating and processing salary data in the target enterprises is within a preset range. Based on the analysis results of the contract terms and attendance data of the salary management objects in the target enterprises, it determines the difficulty of calculating and processing salary data in the target enterprises.
[0009] The number of accounting processing difficulties in the target enterprise is determined, and the analysis results of the contract terms and attendance data of different accounting processing difficulties are combined to determine that the processing difficulty of the target enterprise's salary accounting meets the requirements. Then, the salary accounting processing of the target enterprise is carried out according to the preset time period.
[0010] By leveraging the complexity of payroll calculation for target companies and the distribution data of bank cards held by payroll management objects across different banks, the verification processing order for different target companies is determined, and the payment management processing for different target companies is carried out using the verification processing results.
[0011] The beneficial effects of this invention are as follows:
[0012] By analyzing the number of accounting processing difficulties of the target company, the contract terms of different accounting processing difficulties, and the attendance data, it is determined whether the payroll processing difficulty of the target company meets the requirements. This method not only considers the number of accounting processing difficulties of the target company, but also the differences in payroll processing difficulty caused by differences in contract terms and attendance data for different accounting processing difficulties. This enables the determination of the payroll processing difficulty of the target company from multiple perspectives, and also lays the foundation for determining differentiated verification processing strategies based on processing difficulty.
[0013] By leveraging the processing difficulty of payroll calculation for target companies and the distribution data of bank cards held by payroll management objects at different banks, the verification processing order for different target companies is determined. This fully considers the differences in the distribution data of bank cards held by payroll management objects at different banks, which leads to differences in the difficulty of early abnormal verification processing of bank cards. This enables the determination of the verification processing order for target companies from multiple perspectives, thereby improving the efficiency of payment processing.
[0014] A further technical solution is that the target enterprise of the salary management is the enterprise used for salary disbursement in the government's digital system.
[0015] A further technical solution is that the contract type of the salary management object is determined based on the type of the salary management object and the hierarchy of different types of salary management objects.
[0016] A further technical solution involves determining that the difficulty of calculating and processing salary data in the target enterprise is within a preset range, specifically including:
[0017] Based on the different contract types of the payroll management objects in the target enterprise, determine the number of payroll management objects of different contract types;
[0018] Based on the attendance data of different payroll management objects in the target enterprise, determine the number of payroll management objects that adopt different attendance types;
[0019] The difficulty of calculating and processing salary data in the target enterprise is determined based on the number of salary management objects of different contract types and the number of salary management objects of different attendance types.
[0020] A further technical solution is that when the number of payroll management objects is greater than the number of contract types greater than the number of preset objects, or when the number of payroll management objects is greater than the number of attendance types greater than the number of preset objects, then it is determined that the difficulty of calculating and processing payroll data in the target enterprise is not within the preset range.
[0021] A further technical solution is that the method for determining the verification processing order of the target enterprise is as follows:
[0022] Based on the distribution data of the target company's payroll management objects' bank cards in different banks, the number of banks where the target company's payroll management objects are distributed is determined, and the difficulty of the target company's bank card verification processing is determined by the number of distributed banks;
[0023] The overall verification difficulty of the target company is determined by using the average of the processing difficulty of payroll calculation and the processing difficulty of bank card verification. The verification processing order of the target company is then determined based on the overall verification difficulty.
[0024] A further technical solution involves determining the verification processing order of the target enterprise based on the overall verification processing difficulty, specifically including:
[0025] The order of verification processing for target companies is determined by considering the difficulty of the comprehensive verification process from lowest to highest.
[0026] A further technical solution involves using the verification processing results to perform payment management for different target enterprises, specifically including:
[0027] When the percentage of bank cards with abnormalities in the target company's payroll management objects is less than the preset percentage of bank cards, the target company's payment management process will be initiated.
[0028] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the aforementioned account payment method for government digital wage arrears services when running the computer program.
[0029] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.
[0030] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description
[0031] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.
[0032] Figure 1 This is a flowchart of an account payment method for government digital wage arrears services;
[0033] Figure 2 It is a flowchart for determining whether the difficulty of calculating and processing salary data in the target company is within a preset range;
[0034] Figure 3 This is a flowchart illustrating the method for determining the difficulty of calculating and processing salary management objects within the target enterprise;
[0035] Figure 4 This is a flowchart illustrating the method for determining the verification processing order of the target enterprise;
[0036] Figure 5 It is a framework diagram of a computer system. Detailed Implementation
[0037] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.
[0038] The target enterprises for salary management in the government digital system are obtained. Based on the contract types and attendance data of different salary management objects in the target enterprises, when the difficulty of calculating and processing salary data in the target enterprises is determined to be within a preset range, salary management objects with a number of contract terms greater than the preset number of contract terms are taken as the objects with the difficulty of calculating and processing salary management objects in the target enterprises.
[0039] When the total number of contract terms is not greater than the preset number of terms or the total amount of attendance data is not greater than the preset amount of data, it is determined that the processing difficulty of the target company's payroll calculation meets the requirements, and the payroll calculation of the target company is carried out according to the preset time period.
[0040] Based on the number of banks where the target company's payroll management objects are distributed, the difficulty of bank card verification for the target company is determined according to a preset mapping function. The average of the difficulty of payroll calculation and the difficulty of bank card verification for the target company is used to determine the overall verification difficulty of the target company. The verification processing order of the target company is determined from the lowest to the highest overall verification difficulty. When the percentage of bank cards with abnormalities among the target company's payroll management objects is less than the preset percentage of bank cards, the target company's payment management processing is then performed.
[0041] Example 1
[0042] To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a first aspect is provided: the present invention provides an account payment method for government digital wage arrears services, specifically including:
[0043] If the number of salary management objects in the government digital system is greater than the number of contract types but not greater than the number of preset types, and the number of attendance types but not greater than the number of preset types, then the calculation and processing difficulty of salary data in the target enterprise is determined to be within the preset range, based on the analysis results of the contract terms and attendance data of the salary management objects in the target enterprise.
[0044] Furthermore, the target enterprises for the salary management are those used for salary disbursement in the government's digital system.
[0045] Specifically, the contract type of the salary management object is determined based on the type of the salary management object and the hierarchy of different types of salary management objects.
[0046] Specifically, such as Figure 2 As shown, the difficulty of calculating and processing salary data in the target company is determined to be within a preset range, specifically including:
[0047] Based on the different contract types of the payroll management objects in the target enterprise, determine the number of payroll management objects of different contract types;
[0048] Based on the attendance data of different payroll management objects in the target enterprise, determine the number of payroll management objects that adopt different attendance types;
[0049] The difficulty of calculating and processing salary data in the target enterprise is determined based on the number of salary management objects of different contract types and the number of salary management objects of different attendance types.
[0050] Optionally, if the number of payroll management objects is greater than the number of contract types greater than the preset number of objects, or if the number of payroll management objects is greater than the number of attendance types greater than the preset number of objects, then it is determined that the difficulty of calculating and processing payroll data in the target enterprise is not within the preset range.
[0051] Furthermore, the attendance types are categorized based on the attendance system used by the payroll management object.
[0052] Specifically, when the difficulty of calculating and processing the salary data in the target company is not within the preset range, the salary data in the target company will be calculated and processed in real time.
[0053] In another embodiment, determining that the difficulty of calculating and processing salary data in the target enterprise is within a preset range specifically includes:
[0054] Based on the contract types of different salary management objects in the target enterprise, determine the number of salary management objects of different contract types, and use the number of salary management objects to determine the contract types of interest among the contract types;
[0055] Based on the attendance data of different payroll management objects in the target enterprise, determine the number of payroll management objects using different attendance types, and use the number of payroll management objects to determine the attention attendance types among the attendance types;
[0056] The difficulty of calculating and processing salary data in the target company is determined based on the total number of contract types and attendance types of interest.
[0057] Furthermore, when the total number of contract types and attendance types under observation exceeds the preset number of types, it is determined that the difficulty of calculating and processing salary data in the target enterprise is not within the preset range.
[0058] In another embodiment, determining that the difficulty of calculating and processing salary data in the target enterprise is within a preset range specifically includes:
[0059] S11 Determine the number of different types of salary management objects based on the contract types of different salary management objects in the target enterprise, and determine the contract accounting processing difficulty of the target enterprise based on the number of different types of salary management objects;
[0060] S12 uses the attendance data of different payroll management objects in the target enterprise to determine the number of payroll management objects using different attendance types, and uses the number of payroll management objects with different attendance types to determine the attendance accounting processing difficulty of the target enterprise;
[0061] S13 determines the processing difficulty of salary data in the target company based on the processing difficulty of attendance and contract calculations, and judges whether the processing difficulty is within a preset range.
[0062] Furthermore, the contract terms include different types of salary contract terms.
[0063] Specifically, such as Figure 3 As shown, the method for determining the accounting difficulty object of the salary management object in the target enterprise is as follows:
[0064] Based on the contract terms of the target company's salary management objects, determine the salary contract terms of the target company's salary management objects, and use the number of salary contract terms to determine the contract accounting complexity coefficient of the salary management objects;
[0065] Based on the analysis results of the attendance data of the target company's payroll management objects, the amount of attendance data of the target company's payroll management objects within the preset accounting period is determined, and the processing complexity coefficient of the payroll management object's attendance data is determined using the amount of attendance data of the target company's payroll management objects within the preset accounting period;
[0066] The average value of the contract calculation complexity coefficient and the attendance data processing complexity coefficient is used to determine the calculation processing difficulty of the salary management object in the target enterprise, and the calculation processing difficulty is used to determine whether the salary management object is an object with calculation processing difficulty.
[0067] Furthermore, the contract calculation complexity coefficient of the salary management object is determined based on the preset calculation complexity coefficient corresponding to the number of salary contract clauses.
[0068] It should be noted that the processing complexity coefficient of the attendance data of the payroll management object is determined based on the preset complexity coefficient corresponding to the data volume of the attendance data of the payroll management object within the preset accounting period.
[0069] The number of accounting processing difficulties in the target enterprise is determined, and the analysis results of the contract terms and attendance data of different accounting processing difficulties are combined to determine that the processing difficulty of the target enterprise's salary accounting meets the requirements. Then, the salary accounting processing of the target enterprise is carried out according to the preset time period.
[0070] Optionally, the processing difficulty of the target company's payroll calculation must meet the requirements, specifically including:
[0071] The total number of contract terms is determined based on the number of contract terms for different accounting and processing difficulties within the target enterprise.
[0072] Based on the analysis results of attendance data of different accounting processing difficulty objects in the target enterprise, the total amount of attendance data of different accounting processing difficulty objects is determined;
[0073] The total number of contract terms and the total amount of attendance data are used to determine whether the processing difficulty of the target company's payroll calculation meets the requirements.
[0074] Furthermore, if the total number of contract terms exceeds the preset number of terms and the total amount of attendance data exceeds the preset amount of data, then it is determined that the processing difficulty of the target company's payroll calculation does not meet the requirements.
[0075] In another embodiment, determining that the processing difficulty of the target company's payroll calculation meets the requirements specifically includes:
[0076] Obtain the number of contract terms for different accounting processing difficulty objects in the target enterprise, and determine the contract accounting complexity coefficient for different accounting processing difficulty objects by combining the accounting methods corresponding to different contract terms; determine the sum of the contract accounting complexity coefficients for different accounting processing difficulty objects.
[0077] The processing complexity coefficients for attendance data of different accounting and processing difficulty objects are determined based on the total amount of attendance data for different accounting and processing difficulty objects, and the sum of the processing complexity coefficients for attendance data of different accounting and processing difficulty objects is used to determine the sum of the processing complexity coefficients.
[0078] The average of the processing complexity coefficient and the accounting complexity coefficient is used to determine the salary accounting processing difficulty of the target enterprise, and the salary accounting processing difficulty is used to determine whether the salary accounting processing difficulty of the target enterprise meets the requirements.
[0079] Specifically, when the processing difficulty of salary calculation for the target company does not meet the requirements, the salary data of the target company will be processed in real time.
[0080] Optionally, the processing difficulty of the target company's payroll calculation must meet the requirements, specifically including:
[0081] S11 Obtain the number of contract terms for different accounting processing difficulty objects in the target enterprise, and determine the contract accounting complexity coefficient for different accounting processing difficulty objects in combination with the accounting methods corresponding to different contract terms;
[0082] Optionally, step S11 above includes the following:
[0083] S111 Obtain the number of accounting processing difficulty objects of the target enterprise. When the number of accounting processing difficulty objects of the target enterprise is greater than the preset number of difficulty objects, it is determined that the processing difficulty of salary accounting of the target enterprise does not meet the requirements. When the number of accounting processing difficulty objects of the target enterprise is not greater than the preset number of difficulty objects, proceed to step S112.
[0084] S112 determines the contract accounting complexity coefficient for different accounting difficulty objects based on the number of contract clauses for different accounting difficulty objects in the target enterprise and the accounting method corresponding to the different contract clauses. When the average value of the contract accounting complexity coefficient for different accounting difficulty objects is greater than the preset accounting coefficient threshold, the process proceeds to step S113. When the average value of the contract accounting complexity coefficient for different accounting difficulty objects is not greater than the preset accounting coefficient threshold, the process proceeds to step S12.
[0085] S113 When the number of objects with difficulty in accounting for the target enterprise is within the preset number range, it is determined that the processing difficulty of salary accounting for the target enterprise does not meet the requirements. When the number of objects with difficulty in accounting for the target enterprise is not within the preset number range, proceed to step S12.
[0086] S12 determines the processing complexity coefficient of attendance data for different accounting processing difficulty objects based on the total amount of attendance data for different accounting processing difficulty objects, and determines the accounting processing difficulty coefficient of the target enterprise's accounting processing difficulty object based on the average of the processing complexity coefficient and the accounting complexity coefficient.
[0087] Optionally, step S12 above includes the following:
[0088] S121 determines the processing complexity coefficient of attendance data for different accounting processing difficulty objects based on the total amount of attendance data for different accounting processing difficulty objects, and determines the accounting processing difficulty coefficient of the target enterprise's accounting processing difficulty object based on the average of the processing complexity coefficient and the accounting complexity coefficient.
[0089] S122 When the sum of the accounting difficulty coefficients of the target enterprise's accounting difficulty objects does not meet the requirements, it is determined that the salary accounting difficulty of the target enterprise does not meet the requirements. When the sum of the accounting difficulty coefficients of the target enterprise's accounting difficulty objects meets the requirements, proceed to step S123.
[0090] S123 When the calculation difficulty coefficients of different calculation difficulty objects are all less than the preset difficulty coefficient threshold, proceed to step S124. When there is a calculation difficulty object whose calculation difficulty coefficient is not less than the preset difficulty coefficient threshold, proceed to step S13.
[0091] S124 When the number of objects with difficulty in accounting for the target enterprise is within the preset number range, it is determined that the processing difficulty of the salary accounting for the target enterprise meets the requirements. When the number of objects with difficulty in accounting for the target enterprise is not within the preset number range, proceed to step S13.
[0092] S13 determines the payroll processing difficulty based on the sum of the payroll processing difficulty coefficients of different processing difficulty objects, and uses the payroll processing difficulty to determine whether the payroll processing difficulty of the target enterprise meets the requirements.
[0093] Specifically, the preset time period is determined based on the number of target companies. The more target companies there are, the shorter the preset time period will be. Specifically, it is determined based on the preset correspondence between the number of target companies and the preset time period.
[0094] By leveraging the complexity of payroll calculation for target companies and the distribution data of bank cards held by payroll management objects across different banks, the verification processing order for different target companies is determined, and the payment management processing for different target companies is carried out using the verification processing results.
[0095] In another embodiment, step S11 above includes the following:
[0096] S111 Obtain the number of salary management objects in the target enterprise. When the number of salary management objects in the target enterprise is less than the preset number of management objects, it is determined that the accounting processing difficulty of the target enterprise is within the preset range. When the number of salary management objects in the target enterprise is not less than the preset number of management objects, proceed to step S112.
[0097] S112 determines the number of different salary management objects based on the contract types of different salary management objects in the target enterprise. When there is a contract type with a number of salary management objects greater than the preset number of objects, or when there is no contract type with a number of salary management objects greater than the preset number of objects, proceed to step S114.
[0098] S113. Contract types with a number of payroll management objects greater than the preset number of objects are designated as contract types of interest. When the number of contract types of interest is greater than the preset threshold, it is determined that the accounting processing difficulty of the target enterprise is not within the preset range. When the number of contract types of interest is not greater than the preset threshold, the process proceeds to step S114.
[0099] S114 determines the contract accounting processing difficulty of the target enterprise by using the number of salary management objects of different contract types. If the contract accounting processing difficulty of the target enterprise does not meet the requirements, it is determined that the accounting processing difficulty of the target enterprise is not within the preset range. If the contract accounting processing difficulty of the target enterprise meets the requirements, the process proceeds to step S12.
[0100] Optionally, appeal step S12 may include the following:
[0101] S121 uses the attendance data of different salary management objects in the target enterprise to determine the number of salary management objects using different attendance types. If there is an attendance type with a number of salary management objects greater than the preset number of objects, then proceed to step S122. If there is no attendance type with a number of salary management objects greater than the preset number of objects, then proceed to step S123.
[0102] S122. Attendance types with a number of payroll management objects greater than the preset number of objects are designated as attention attendance types. When the number of attention attendance types is greater than the preset type number threshold, it is determined that the accounting processing difficulty of the target enterprise is not within the preset range. When the number of attention attendance types is not greater than the preset type number threshold, the process proceeds to step S123.
[0103] S123 determines the attendance accounting processing difficulty of the target enterprise by using the number of salary management objects of different attendance types. When the attendance accounting processing difficulty of the target enterprise does not meet the requirements, proceed to step S124. When the attendance accounting processing difficulty of the target enterprise meets the requirements, proceed to step S13.
[0104] S124 When the contract accounting processing difficulty of the target enterprise is within the preset processing difficulty range, it is determined that the accounting processing difficulty of the target enterprise is not within the preset range. When the contract accounting processing difficulty of the target enterprise is not within the preset processing difficulty range, proceed to step S13.
[0105] Specifically, such as Figure 4 As shown, the method for determining the verification processing order of the target enterprise is as follows:
[0106] Based on the distribution data of the target company's payroll management objects' bank cards in different banks, the number of banks where the target company's payroll management objects are distributed is determined, and the difficulty of the target company's bank card verification processing is determined by the number of distributed banks;
[0107] The overall verification difficulty of the target company is determined by using the average of the processing difficulty of payroll calculation and the processing difficulty of bank card verification. The verification processing order of the target company is then determined based on the overall verification difficulty.
[0108] Furthermore, the verification processing order for the target enterprise is determined based on the overall verification processing difficulty, specifically including:
[0109] The order of verification processing for target companies is determined by considering the difficulty of the comprehensive verification process from lowest to highest.
[0110] Furthermore, the verification results are used for payment management of different target enterprises, specifically including:
[0111] When the percentage of bank cards with abnormalities in the target company's payroll management objects is less than the preset percentage of bank cards, the target company's payment management process will be initiated.
[0112] Example 2
[0113] Secondly, such as Figure 5 As shown, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described account payment method for government digital wage arrears services when running the computer program.
[0114] Furthermore, the preset accounting period is half a month or one month.
[0115] Specifically, when the calculation difficulty of the salary management object is greater than the preset calculation difficulty, the salary management object is determined to be an object with high calculation difficulty.
[0116] In another embodiment, the method for determining the accounting processing difficulty object of the salary management object in the target enterprise is as follows:
[0117] Based on the contract terms of the target company's salary management objects, determine the salary contract terms of the target company's salary management objects. When the number of salary contract terms of the target company's salary management objects is greater than the preset number of contract terms, then determine that the salary management objects belong to the category of objects with difficult accounting processing.
[0118] When the number of salary contract clauses for the target company's salary management objects is not greater than the preset number of contract clauses:
[0119] The complexity coefficient of different salary contract terms is calculated using different calculation methods. When there is a calculation method whose complexity coefficient exceeds a preset complexity coefficient threshold:
[0120] The calculation method with a complexity coefficient greater than the preset complexity coefficient threshold is defined as a complex calculation method. When the number of such complex calculation methods is greater than the preset number of complex methods, the salary management object is determined to be an object with high calculation difficulty.
[0121] When there is no calculation method with a complexity coefficient not greater than the preset complexity coefficient threshold, or when the number of complex calculation methods is not greater than the preset number of complex methods:
[0122] The contract accounting complexity coefficient of the payroll management object is determined by summing the accounting complexity coefficients of the clauses with different complex accounting methods. When the contract accounting complexity coefficient of the payroll management object is greater than the preset accounting complexity coefficient threshold, the payroll management object is determined to be an object with difficult accounting processing.
[0123] When the contract calculation complexity coefficient of the payroll management object is not greater than the preset calculation complexity coefficient threshold:
[0124] Based on the analysis results of the attendance data of the target company's payroll management object, the amount of attendance data of the target company's payroll management object within the preset accounting period is determined. The processing complexity coefficient of the payroll management object's attendance data is determined using the amount of attendance data of the target company's payroll management object within the preset accounting period. When the processing complexity coefficient of the payroll management object's attendance data is greater than the preset processing complexity coefficient threshold and the contract accounting complexity coefficient is within the preset accounting complexity coefficient range, the payroll management object is determined to be an object with high accounting processing difficulty.
[0125] When the processing complexity coefficient of the attendance data of the payroll management object is not greater than the preset processing complexity coefficient threshold or the contract calculation complexity coefficient is not within the preset calculation complexity coefficient range:
[0126] The average value of the contract calculation complexity coefficient and the attendance data processing complexity coefficient is used to determine the calculation processing difficulty of the salary management object in the target enterprise, and the calculation processing difficulty is used to determine whether the salary management object is an object with calculation processing difficulty.
[0127] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.
[0128] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.
[0129] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.
Claims
1. An account payment method for government digital wage arrears services, characterized in that, Specifically, it includes: The system obtains the target enterprises for salary management in the government digital system. Based on the contract types and attendance data of different salary management objects in the target enterprises, it determines that the difficulty of calculating and processing salary data in the target enterprises is within a preset range. Based on the analysis results of the contract terms and attendance data of the salary management objects in the target enterprises, it determines the difficulty of calculating and processing salary data in the target enterprises. The number of accounting processing difficulties in the target enterprise is determined, and the analysis results of the contract terms and attendance data of different accounting processing difficulties are combined to determine that the processing difficulty of the target enterprise's salary accounting meets the requirements. Then, the salary accounting processing of the target enterprise is carried out according to the preset time period. By leveraging the processing difficulty of payroll calculation for target companies and the distribution data of bank cards of payroll management objects in different banks, the verification processing order for different target companies is determined, and the payment management processing for different target companies is carried out using the verification processing results. The method for determining the verification processing order of the target enterprise is as follows: Based on the distribution data of the target company's payroll management objects' bank cards in different banks, the number of banks where the target company's payroll management objects are distributed is determined, and the difficulty of the target company's bank card verification processing is determined by the number of distributed banks; The overall verification difficulty of the target company is determined by using the average of the processing difficulty of payroll calculation and the processing difficulty of bank card verification. The verification processing order of the target company is then determined based on the overall verification difficulty. The verification processing order for the target enterprise is determined based on the overall verification processing difficulty, specifically including: The order of verification processing for target companies is determined by considering the difficulty of the comprehensive verification process from lowest to highest. The verification process results are used for payment management of different target companies, specifically including: When the percentage of bank cards with abnormalities in the target company's payroll management objects is less than the preset percentage of bank cards, the target company's payment management process will be initiated.
2. The account payment method for government digital wage arrears services as described in claim 1, characterized in that, The target enterprises for the salary management are those used for salary disbursement in the government's digital system.
3. The account payment method for government digital wage arrears services as described in claim 1, characterized in that, The contract type of the payroll management object is determined based on the type of the payroll management object and the hierarchy of different types of payroll management objects.
4. The account payment method for government digital wage arrears services as described in claim 1, characterized in that, The difficulty of calculating and processing salary data in the target company is determined to be within a preset range, specifically including: Based on the different contract types of the payroll management objects in the target enterprise, determine the number of payroll management objects of different contract types; Based on the attendance data of different payroll management objects in the target enterprise, determine the number of payroll management objects that adopt different attendance types; The difficulty of calculating and processing salary data in the target enterprise is determined based on the number of salary management objects of different contract types and the number of salary management objects of different attendance types.
5. The account payment method for government digital wage arrears services as described in claim 4, characterized in that, The attendance types are categorized based on the attendance system used by the payroll management object.
6. The account payment method for government digital wage arrears services as described in claim 4, characterized in that, When the difficulty of calculating and processing the salary data in the target company is not within the preset range, the salary data in the target company will be calculated and processed in real time.
7. A computer system, comprising: A memory and processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes an account payment method for government digital wage arrears services as described in any one of claims 1-6.
Citation Information
Patent Citations
Payment processing method and device and storage medium
CN110738469A
Block chain-based distributed salary settlement system and method thereof
CN114169853A
Salary data processing system
CN117592958A