A financial supervision data processing method and system

By analyzing the basic data of financial supervision and matching the capabilities of the regulatory data processing department, and generating data allocation processing results and display interfaces, the problem of low efficiency in financial supervision data allocation is solved, and efficient and accurate data allocation processing is achieved.

CN114693418BActive Publication Date: 2025-03-14NANJING FITECH DATA SYST CO LTD
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Patent Information

Application Number
CN202210357949.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-04-07
Publication Date
2025-03-14
Estimated Expiration
2042-04-07

AI Technical Summary

Technical Problem

During the subsequent processing of financial regulatory data, data allocation efficiency is low, and existing storage devices are only suitable for local institutions and cannot effectively solve the problem of data allocation efficiency.

Method used

By obtaining basic financial supervision data and performing data analysis based on preset data analysis and processing ports, we obtain regulatory data verification time nodes and key confidential data. Based on this information, select the matching regulatory data processing department, build a collection of current matching regulatory departments, and match it based on the actual regulatory data processing capability values, generate initial matching results, and finally generate the current data allocation processing results and display interface.

Benefits of technology

It realizes efficient allocation and processing of financial regulatory data, improves data allocation and processing efficiency, meets the requirements of time and resource utilization, and ensures high efficiency and accuracy allocation of financial regulatory data.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to a method and system for processing financial regulatory data as described above, including obtaining the basic financial regulatory data transmitted through each preset information upload port, and obtaining the regulatory data verification time node and the regulatory data key confidential data, selecting the matching regulatory data processing department according to the regulatory data verification time node, and constructing the current matching regulatory department set; obtaining the actual regulatory data processing capacity value of each regulatory data processing department in the current matching regulatory department set, and matching each actual regulatory data processing capacity value with the regulatory data key confidential data corresponding to the regulatory data verification time node, and generating initial matching results respectively; generating the current data allocation processing result of the financial regulatory basic data, and generating an initial allocation display interface, the initial allocation display interface is used to display the current data allocation processing result. The present invention achieves a great improvement in the efficiency of data allocation processing.
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Description

Technical Field

[0001] The present application relates to the technical field of financial data processing, and in particular to a method and system for processing financial regulatory data. Background Art

[0002] There are many types of financial data. According to the classification of financial business activities, financial data can be divided into banking business data, securities business data, insurance business data, trust, consulting and other aspects of data. Banking business data includes data on credit, accounting, savings, settlement, interest rates, etc. Securities business data includes market conditions, entrustment, transactions, capital market supply and demand, and the operating status of listed companies. Insurance business data includes data on insurance, claims, investment, etc. These data reflect the characteristics, laws and operating conditions of financial activities from a certain aspect. With the development and progress of society, more and more people are concerned about their physical health and the risks they face.

[0003] In order to ensure the sound development of the financial industry, financial regulatory authorities conduct various regulatory inspections on financial institutions, including the formulation of a unified standard interface. Financial institutions submit business detail data in the form of files to the relevant regulatory authorities in accordance with this standard interface. After obtaining the corresponding financial information, data storage is required. When storing, the financial regulatory data storage device and its use method disclosed in the invention patent with application number CN202011411617.4 can be used, wherein a liquid storage tank is installed above the external protective structure, a base structure is arranged below the external protective structure, an inner partition structure is installed inside the external protective structure, an adjustment storage plate is arranged above the base structure, a cooling fan is installed on one side of the external protective structure, a thermal insulation tempered glass door is installed on the surface of the external protective structure, a signal device is arranged at one end of the thermal insulation tempered glass door, and the signal device is fixedly connected to one end of the thermal insulation tempered glass door, a signal light is installed on one side of the thermal insulation tempered glass door, a shunt pipe is arranged inside the external protective structure, and a thermal insulation layer is installed on the inner wall of the external protective structure.

[0004] Obviously, the above-mentioned storage devices are only applicable to local institutions, and in the subsequent processing of financial regulatory data, there is also the problem of low efficiency in subsequent data distribution. Summary of the invention

[0005] Based on this, it is necessary to provide a financial regulatory data processing method and system that can improve the efficiency of data allocation and processing in response to the above technical problems.

[0006] The technical solution of the present invention is as follows:

[0007] A method for processing financial regulatory data, the method comprising:

[0008] Obtain the financial regulatory basic data transmitted through each preset information upload port, and perform data analysis on the financial regulatory basic data based on the preset data analysis and processing port, and obtain the regulatory data verification time node and the regulatory data key confidential data, wherein one financial regulatory basic data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship; select matching regulatory data processing departments according to the regulatory data verification time node, and construct a current matching regulatory department set according to each regulatory data processing department corresponding to one regulatory data verification time node; obtain the actual regulatory data processing capacity value of each regulatory data processing department in the current matching regulatory department set, and match each actual regulatory data processing capacity value with the regulatory data key confidential data corresponding to the regulatory data verification time node, and generate initial matching results respectively;

[0009] The current data allocation processing result of the financial regulatory basic data is generated according to each of the initial matching results, and an initial allocation display interface is generated based on the current data allocation processing result, and the initial allocation display interface is used to display the current data allocation processing result.

[0010] Further, the actual supervision data processing capability value includes an actual data processing efficiency value, an actual data expertise field and an emergency deployment capability value, the actual data processing efficiency value and the emergency deployment capability value are added to obtain the numerical portion of the actual supervision data processing capability value, and the actual data expertise field is the attribute portion of the actual supervision data processing capability value; the method further includes:

[0011] The regulatory data actually processed by the regulatory data processing department within a first preset time period is quantitatively collected, and the current actual processing workload is obtained; the actual data processing efficiency value of the regulatory data processing department is generated according to the current actual processing workload and the first preset time period; the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within a second preset time period are obtained, wherein one financial regulatory basic data corresponds to one actual corresponding field; the number of each actual corresponding field is counted and arranged in descending order, and the actual corresponding field that ranks first after the descending order is set as the actual data expertise field of the regulatory data processing department; the emergency deployment capacity value made by the financial regulatory authority for the current regulatory data processing department is obtained; the actual regulatory data processing capacity value is generated according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value.

[0012] Furthermore, the initial matching result is a currently matching result or a currently unmatched result;

[0013] Obtaining the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and matching each actual regulatory data processing capability value with the key confidentiality data of the regulatory data corresponding to the regulatory data verification time node, and generating initial matching results respectively; specifically including:

[0014] Obtain the actual regulatory data processing capability value of each regulatory data processing department in the currently matching regulatory department set, and set the actual regulatory data processing capability value whose value is greater than the first preset capability value as the initial screening capability value; respectively obtain the actual data expertise fields corresponding to the initial screening capability values, and compare each of the actual data expertise fields with the corresponding key confidential data of the regulatory data, and respectively generate comparative similarity values, wherein an initial screening capability value, an actual data expertise field and a comparative similarity value have a one-to-one mapping relationship; set the initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value as the current matching result; set the initial screening capability value corresponding to the comparative similarity value whose value is less than the preset similarity value as the current unmatched result.

[0015] Furthermore, the current data allocation processing result is that a regulatory data processing department processes a piece of financial regulatory basic data;

[0016] Generating a current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and generating an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result, and then further comprising:

[0017] Acquire the urgent processing demand of the financial regulatory basic data being processed, the regulatory data processing department in the current data allocation processing result corresponding to the financial regulatory basic data being processed is the currently processing regulatory department; generate other data processing departments that match the cooperation degree of the currently processing regulatory department according to the urgent processing demand; acquire the current work task status of the other data processing departments, the current work task status is an deployable task status and a task full load status; send urgent demand instructions to other data processing departments in the deployable task status; generate work deployment instructions according to the urgent demand instructions, the work deployment instructions are used to deploy other data processing departments in the deployable task status to work in coordination with the currently processing regulatory department.

[0018] Furthermore, a work allocation instruction is generated according to the emergency demand instruction, and the work allocation instruction is used to allocate other data processing departments in the state of available tasks to work with the currently processing supervision department; and then it also includes:

[0019] Obtain the basic support condition resources required by other data processing departments in the deployable task state for the emergency processing needs; obtain the real-time material support resources required by the currently processing regulatory department for the emergency processing needs; obtain the current actual support materials provided by the emergency demand subject that makes the emergency processing needs; generate resource allocation instructions based on the current actual support materials, the basic support condition resources and the real-time material support resources; and allocate materials that match the resource allocation instructions from a preset material storage repository according to the resource allocation instructions.

[0020] Furthermore, the present invention also provides a financial supervision data processing system, the system comprising:

[0021] A data analysis module, used to obtain the basic financial regulatory data transmitted through each preset information upload port, and perform data analysis on the basic financial regulatory data based on the preset data analysis processing port, and obtain the regulatory data verification time node and the regulatory data key confidential data, wherein one of the basic financial regulatory data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship;

[0022] A time node module, used for selecting a matching regulatory data processing department according to the regulatory data verification time node, and constructing a current matching regulatory department set according to each regulatory data processing department corresponding to one regulatory data verification time node;

[0023] An initial matching module, used to obtain the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and match each actual regulatory data processing capability value with the key confidential data of the regulatory data corresponding to the regulatory data verification time node, and generate initial matching results respectively;

[0024] A result generation module is used to generate the current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and to generate an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result.

[0025] Furthermore, the system further comprises an efficiency weight value generation module, and the efficiency weight value generation module is used to:

[0026] The regulatory data actually processed by the regulatory data processing department within a first preset time period is quantitatively collected, and the current actual processing workload is obtained; the actual data processing efficiency value of the regulatory data processing department is generated according to the current actual processing workload and the first preset time period; the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within a second preset time period are obtained, wherein one financial regulatory basic data corresponds to one actual corresponding field; the number of each actual corresponding field is counted and arranged in descending order, and the actual corresponding field that ranks first after the descending order is set as the actual data expertise field of the regulatory data processing department; the emergency deployment capacity value made by the financial regulatory authority for the current regulatory data processing department is obtained; the actual regulatory data processing capacity value is generated according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value.

[0027] Furthermore, the initial matching module is also used for:

[0028] Obtain the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and set the actual regulatory data processing capability value whose value is greater than the first preset capability value as the initial screening capability value; respectively obtain the actual data expertise fields corresponding to the initial screening capability values, and compare each of the actual data expertise fields with the corresponding regulatory data key confidential data, and respectively generate comparative similarity values, wherein one initial screening capability value, one actual data expertise field and one comparative similarity value have a one-to-one mapping relationship; set the initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value as the current matching result; set the initial screening capability value corresponding to the comparative similarity value whose value is less than the preset similarity value as the current unmatched result;

[0029] The result generation module is also used for:

[0030] Acquire the urgent processing demand of the financial regulatory basic data being processed, the regulatory data processing department in the current data allocation processing result corresponding to the financial regulatory basic data being processed is the currently processing regulatory department; generate other data processing departments that match the degree of cooperation of the currently processing regulatory department according to the urgent processing demand; acquire the current work task status of the other data processing departments, the current work task status is the deployable task status and the task full load status; send urgent demand instructions to other data processing departments in the deployable task status; generate work deployment instructions according to the urgent demand instructions, the work deployment instructions are used to deploy other data processing departments in the deployable task status to work with the currently processing regulatory department; acquire the basic support condition resources required by other data processing departments in the deployable task status for the urgent processing demand;

[0031] Acquire the real-time material support resources needed by the regulatory department currently processing the emergency processing needs; acquire the current actual support materials provided by the emergency demand subject that makes the emergency processing needs; generate resource allocation instructions based on the current actual support materials, the basic support condition resources and the real-time material support resources; and allocate materials that match the resource allocation instructions from a preset material storage repository according to the resource allocation instructions.

[0032] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned financial regulatory data processing method when executing the computer program.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned financial regulatory data processing method.

[0034] The technical effects achieved by the present invention are as follows:

[0035] 1. The above-mentioned financial regulatory data processing method and system sequentially obtains the financial regulatory basic data transmitted through each preset information upload port, and performs data analysis on the financial regulatory basic data based on the preset data analysis and processing port, and obtains the regulatory data verification time node and the regulatory data key confidential data, wherein one of the financial regulatory basic data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship; then, according to the regulatory data verification time node, a matching regulatory data processing department is selected, and according to one of the regulatory data verification time nodes, a matching regulatory data processing department is selected. The corresponding regulatory data processing departments construct the current matching regulatory department set; obtain the actual regulatory data processing capacity value of each regulatory data processing department in the current matching regulatory department set, and match each actual regulatory data processing capacity value with the key confidential data of the regulatory data corresponding to the regulatory data verification time node, and generate initial matching results respectively; generate the current data allocation processing result of the financial regulatory basic data according to each initial matching result, and generate an initial allocation display interface based on the current data allocation processing result, the initial allocation display interface is used to display the current data allocation processing result, thereby achieving a great improvement in the data allocation processing efficiency;

[0036] 2. The present invention firstly traces the source of each of the financial regulatory basic data, and then sets the preset information upload port so that the data uploaded through the preset information upload port has a specific mark, which is a port upload mark, that is, one of the preset information upload ports has a port upload mark, and the port upload mark of each of the preset information upload ports is different. Then, the financial regulatory basic data uploaded through each of the preset information upload ports has a corresponding port upload mark, and they are all different, so that the financial regulatory basic data from different sources can be source marked and managed, which is convenient for subsequent efficient classification and allocation, and improves the efficiency and scientificity of the subsequent management of financial regulatory data;

[0037] 3. In the method described in the present invention, after obtaining a regulatory data verification time node corresponding to the financial regulatory basic data, the key confidential data of the regulatory data corresponding to the financial regulatory basic data can be obtained, thereby achieving a close correlation between related data, and then achieving stickiness between data during subsequent data processing, thereby improving data processing efficiency, and eliminating the need to query other data separately, thereby greatly improving data processing efficiency and rate.

[0038] 4. First, based on the consideration of time nodes, that is, first obtain the regulatory data verification time node, and select the matching regulatory data processing department based on the regulatory data verification time node, that is, only the department that meets the regulatory data verification time node requirements can belong to the current matching regulatory department set. This is the first screening process for regulatory data allocation. Then, obtain the actual regulatory data processing capacity value of each regulatory data processing department in the current matching regulatory department set, and perform a second screening based on the actual regulatory data processing capacity value, thereby achieving the generated current data allocation processing result while meeting the time requirements and meeting the most powerful resource utilization within the available resources, thereby ensuring the efficient allocation and accurate allocation of financial regulatory data. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A flowchart of a method for processing financial regulatory data in one embodiment;

[0040] Figure 2 is a structural block diagram of a financial regulatory data processing system in one embodiment;

[0041] Figure 3 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0043] In one embodiment, an application scenario of the financial regulatory data processing method is provided, which includes a terminal. The terminal first obtains the financial regulatory basic data transmitted through each preset information upload port, and performs data analysis on the financial regulatory basic data based on the preset data analysis and processing port, and obtains the regulatory data verification time node and regulatory data key confidential data, wherein one of the financial regulatory basic data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship; then, a matching regulatory data processing department is selected according to the regulatory data verification time node. , and construct a current matching regulatory department set according to each of the regulatory data processing departments corresponding to a regulatory data verification time node; then, obtain the actual regulatory data processing capacity value of each of the regulatory data processing departments in the current matching regulatory department set, and match each of the actual regulatory data processing capacity values ​​with the key confidential data of the regulatory data corresponding to the regulatory data verification time node, and generate initial matching results respectively; finally, generate the current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and generate an initial allocation display interface based on the current data allocation processing result, and the initial allocation display interface is used to display the current data allocation processing result.

[0044] In one embodiment, Figure 1 As shown, a method for processing financial regulatory data is provided, the method comprising:

[0045] Step S100: obtaining the financial regulatory basic data transmitted through each preset information upload port, and performing data analysis on the financial regulatory basic data based on the preset data analysis and processing port, and obtaining the regulatory data verification time node and the regulatory data key confidential data, wherein one of the financial regulatory basic data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship;

[0046] Specifically, in this embodiment, in order to trace the source of each of the financial regulatory basic data, the preset information upload port is set so that the data uploaded through the preset information upload port has a specific mark, which is a port upload mark, that is, one of the preset information upload ports has a port upload mark, and the port upload mark of each preset information upload port is different. Then, the financial regulatory basic data uploaded through each of the preset information upload ports has a corresponding port upload mark, and they are all different, so that the financial regulatory basic data from different sources can be source marked and managed, which is convenient for subsequent efficient classification and allocation, and improves the efficiency and scientificity of the subsequent management of financial regulatory data.

[0047] Furthermore, when data analysis is performed on the financial regulatory basic data, it is carried out by specially preset data initial processing personnel, that is, the data initial processing personnel conduct initial review and analysis of each financial regulatory basic data, and then obtain the regulatory data verification time node and regulatory data key confidential data.

[0048] The regulatory data verification time point is the data at which the audit results need to be issued after the financial regulatory basic data is uploaded, including but not limited to one or more time points. The key confidential data of the regulatory data is data that is difficult to process and data that needs to be focused on, such as the qualifications of the financial applicant for large-scale financial approval, and the basic situation data of large-scale and high-frequency financial transactions in a short period of time.

[0049] Furthermore, the regulatory data verification time nodes and the regulatory data key confidential data can be understood as sensitive data in financial supervision, and then the security and reliability of the financial regulatory data processing process can be improved by obtaining the regulatory data verification time nodes and the regulatory data key confidential data.

[0050] Furthermore, the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship, which means that a regulatory data verification time node and regulatory data key confidential data corresponding to a financial regulatory basic data correspond to each other. It can also be understood that a regulatory data verification time node and regulatory data key confidential data corresponding to a financial regulatory basic data are stored correspondingly. When a regulatory data verification time node corresponding to a financial regulatory basic data is obtained, the regulatory data key confidential data corresponding to the financial regulatory basic data can be obtained, thereby achieving a close correlation between related data, and then achieving stickiness between data during subsequent data processing, thereby improving data processing efficiency, and there is no need to query other data separately, thereby greatly improving data processing efficiency and speed.

[0051] Step S200: selecting a matching supervision data processing department according to the supervision data verification time node, and constructing a current matching supervision department set according to each of the supervision data processing departments corresponding to one of the supervision data verification time nodes;

[0052] Specifically, in this embodiment, there are multiple regulatory data processing departments, such as an accounting data processing department, a savings business data processing department, a settlement business data processing department, an interest rate business data processing department, etc. Each regulatory data processing department has a different processing time for the same financial data, that is, it is necessary to first determine which regulatory data processing department's processing time can meet the current regulatory data verification time node, and then select matching regulatory data processing departments, and construct the current matching regulatory department set based on each regulatory data processing department corresponding to a regulatory data verification time node.

[0053] Step S300: obtaining the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and matching each actual regulatory data processing capability value with the key confidentiality data of the regulatory data corresponding to the regulatory data verification time node, and generating initial matching results respectively;

[0054] Specifically, in this embodiment, the actual regulatory data processing capability value is used to characterize the data processing capability of each regulatory data processing department in the current matching regulatory department set, and is specifically expressed in the form of a numerical value. The larger the numerical value, the stronger the data processing capability. That is, the larger the actual regulatory data processing capability value, the stronger the processing capability for financial regulatory basic data, and thus the more it can meet the requirements of efficiency and data processing quality.

[0055] Step S400: generating a current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and generating an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result.

[0056] Specifically, in this embodiment, after the current data allocation processing results of the financial regulatory basic data are generated, in order to achieve a more refined and intuitive display of the data, an initial allocation display interface is generated based on the current data allocation processing results, so that the initial allocation display interface displays the current data allocation processing results, thereby achieving efficient and convenient display of the data and facilitating viewing of the data.

[0057] Furthermore, the current data allocation processing result generated by the present invention is first based on the consideration of the time node, that is, the regulatory data verification time node is first obtained, and the matching regulatory data processing department is selected based on the regulatory data verification time node, that is, only the department that meets the regulatory data verification time node requirements can belong to the current matching regulatory department set. This is the first screening process for regulatory data allocation. Then, the actual regulatory data processing capacity value of each regulatory data processing department in the current matching regulatory department set is obtained, and a second screening is performed based on the actual regulatory data processing capacity value, thereby achieving the generated current data allocation processing result that meets the time requirements and can meet the most powerful resource utilization within the available resources, thereby ensuring the efficient allocation and accurate allocation of financial regulatory data.

[0058] In one embodiment, the actual supervision data processing capability value includes an actual data processing efficiency value, an actual data expertise field, and an emergency deployment capability value. The actual data processing efficiency value and the emergency deployment capability value are added to obtain a numerical portion of the actual supervision data processing capability value. The actual data expertise field is an attribute portion of the actual supervision data processing capability value. The method further includes:

[0059] Step S031: quantitatively collecting the supervision data actually processed by the supervision data processing department within the first preset time period, and obtaining the current actual processing workload;

[0060] Step S032: generating an actual data processing efficiency value of the supervisory data processing department according to the current actual processing workload and the first preset time period;

[0061] The first preset time period is pre-set, and the current actual processing workload is the amount of data of the financial regulatory basic data that is specifically processed. Therefore, after obtaining the current actual processing workload and the first preset time period, the actual data processing efficiency value can be obtained by dividing them.

[0062] Step S033: obtaining the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within the second preset time period, wherein each financial regulatory basic data corresponds to one actual corresponding field;

[0063] Step S034: Count the number of the actual corresponding fields, and arrange them in descending order, and set the actual corresponding field that is ranked first after the descending order as the actual data expertise field of the regulatory data processing department;

[0064] The second preset time period is pre-set and arranged in descending order. The actual corresponding field that ranks first after descending order is the field with the largest number, that is, the field with the largest number is the field that is processed most by the regulatory data processing department. At this time, this field is set as the field of actual data expertise.

[0065] Step S035: Obtain the emergency deployment capability value made by the financial regulatory authority to the current regulatory data processing department;

[0066] The financial regulatory authority is a leading department, specifically a board of directors or a shareholders' meeting. The financial regulatory authority makes an emergency deployment capability value for the current regulatory data processing department. The emergency deployment capability value is a reflection of the regulatory data processing department's handling capabilities when faced with emergencies, and is comprehensively set by the financial regulatory authority based on the degree of completeness of matter handling, the success rate of matter handling, and the speed of matter handling.

[0067] Step S036: Generate an actual supervision data processing capacity value according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value.

[0068] Specifically, in this embodiment, in order to achieve rapid and efficient allocation of subsequent financial regulatory data, the regulatory data actually processed by the regulatory data processing department within the first preset time period is first quantitatively collected, and the current actual processing workload is obtained; then the actual data processing efficiency value of the regulatory data processing department is generated according to the current actual processing workload and the first preset time period; the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within the second preset time period are obtained, and then the number of each actual corresponding field is counted and arranged in descending order, and the actual corresponding field that is ranked first after descending order is set as the actual data expertise field of the regulatory data processing department; the emergency deployment capacity value made by the financial regulatory authority for the current regulatory data processing department is obtained; the actual regulatory data processing capacity value is generated according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value, thereby achieving the provision of stable and reliable data support for subsequent data processing and ensuring the accuracy of subsequent financial data allocation.

[0069] In one embodiment, the initial matching result is a currently matching result or a currently unmatchable result;

[0070] Step S300: obtaining the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and matching each actual regulatory data processing capability value with the key confidentiality data of the regulatory data corresponding to the regulatory data verification time node, and generating initial matching results respectively; specifically including:

[0071] Step S310: obtaining the actual regulatory data processing capability value of each regulatory data processing department in the currently matching regulatory department set, and setting the actual regulatory data processing capability value whose value is greater than the first preset capability value as the initial screening capability value;

[0072] Step S320: respectively obtaining the actual data expertise fields corresponding to the initial screening capability values, and comparing each of the actual data expertise fields with the corresponding key confidential data of the supervision data, and respectively generating comparative similarity values, wherein one initial screening capability value, one actual data expertise field and one comparative similarity value have a one-to-one mapping relationship;

[0073] Specifically, the mapping relationship is a one-to-one correspondence between the initial screening capability value, the actual data expertise field and the comparative similarity value, so that when any one of the three data is obtained, the remaining two data can be obtained according to the mapping relationship, thereby ensuring the correlation between the data.

[0074] Step S330: setting the initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value as the current matching result;

[0075] Step S340: setting the initial screening capability value corresponding to the comparative similarity value whose value is smaller than the preset similarity value as the current unmatched result.

[0076] Specifically, in this embodiment, the initial screening capability value is first obtained, then the actual data expertise fields corresponding to the initial screening capability value are respectively obtained, and then the comparative similarity values ​​are respectively generated. Then, the initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value is set as the current matching result; and the initial screening capability value corresponding to the comparative similarity value whose value is less than the preset similarity value is set as the current unmatched result, thereby achieving high-precision matching.

[0077] In one embodiment, the current data allocation processing result is a supervision data processing department processing a piece of financial supervision basic data;

[0078] Step S400: generating the current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and generating an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result, and then further comprising:

[0079] Step S510: Acquire the urgent processing requirements of the financial regulatory basic data being processed, and the regulatory data processing department in the current data allocation processing result corresponding to the financial regulatory basic data being processed is the current processing regulatory department;

[0080] The emergency processing demand refers to the expedited processing of the financial regulatory basic data being processed. Due to actual needs, it may be necessary to expedite the processing of certain data due to special circumstances, thereby obtaining the emergency processing demand.

[0081] Step S520: generating other data processing departments that match the cooperation degree of the currently processing regulatory department according to the emergency processing demand;

[0082] Among them, there is a degree of coordination between other data processing departments and the currently processing regulatory department. For example, if the departments are accounting data processing department, savings business data processing department and settlement business data processing department, then there is an intersection between the accounting data processing department and the savings business data processing department in terms of processing matters, and thus the degree of coordination is relatively high, for example, 80. Then, there is no intersection between the savings business data processing department and the settlement business data processing department, so the degree of coordination between the two is relatively low, for example, 50. Then, when the accounting data processing department needs to perform expedited processing, the other data processing departments with matching coordination degrees are the savings business data processing departments with higher coordination degrees. In this way, by generating other data processing departments that match the coordination degrees of the currently processing regulatory department according to the emergency processing needs, it is achieved that the departments that can cooperate with each other are adjusted together, which is conducive to improving work efficiency.

[0083] Step S530: obtaining the current work task status of the other data processing departments, wherein the current work task status is an allocatable task status and a task full load status;

[0084] Step S540: Sending an urgent demand instruction to other data processing departments in a state where tasks can be deployed;

[0085] Step S550: Generate a work deployment instruction according to the emergency demand instruction, and the work deployment instruction is used to deploy other data processing departments in the deployable task state to work in collaboration with the currently processing supervision department.

[0086] Specifically, in this embodiment, in order to achieve high data accuracy and collaborative work among adjacent departments to improve work efficiency, other data processing departments that match the degree of cooperation of the currently processing regulatory department are generated according to the emergency processing needs; then, the current work task status of the other data processing departments is obtained, and the current work task status is an deployable task status and a task full load status; then, an emergency demand instruction is sent to other data processing departments that are in an deployable task status; finally, a work deployment instruction is generated according to the emergency demand instruction, and the work deployment instruction is used to deploy other data processing departments in an deployable task status to work collaboratively with the currently processing regulatory department, thereby achieving resource allocation through collaborative cooperation between departments, and thus achieving efficient and fast data processing.

[0087] In one embodiment, step S550: generating a work allocation instruction according to the emergency demand instruction, wherein the work allocation instruction is used to allocate other data processing departments in the state of available tasks to work with the currently processing supervision department; and then further comprising:

[0088] Step S551: Acquire the basic support condition resources required by other data processing departments in the deployable task state for the emergency processing demand;

[0089] Step S552: Acquire the real-time material support resources required by the currently processing regulatory department for the emergency processing demand;

[0090] Step S553: ​​Acquire the current actual support materials provided by the emergency demand subject that makes the emergency processing demand;

[0091] Step S554: Generate a resource allocation instruction according to the current actual support materials, the basic support condition resources and the real-time material support resources;

[0092] Furthermore, when the current actual support materials are greater than the sum of the basic support condition resources and the real-time material support resources, they are directly transferred.

[0093] When the current actual support materials are less than the sum of the basic support condition resources and the real-time material support resources, a material shortage feedback indication is generated and sent to the emergency demand entity until the material support provided by the emergency demand entity meets the demand for the basic support condition resources and the real-time material support resources, thereby ensuring sufficient supply of materials and achieving efficient and rapid resource allocation.

[0094] Step S555: allocating materials matching the resource allocation instruction from a preset material storage library according to the resource allocation instruction.

[0095] Specifically, in this embodiment, first, the basic support condition resources required by other data processing departments in the deployable task state for the emergency processing needs are obtained; then, the real-time material support resources required by the currently processing regulatory department for the emergency processing needs are obtained; then, the current actual support materials provided by the emergency demand subject that makes the emergency processing demand are obtained; then, resource allocation instructions are generated based on the current actual support materials, the basic support condition resources and the real-time material support resources, thereby ensuring sufficient supply of materials and realizing emergency material allocation in emergency needs, thereby meeting usage needs.

[0096] In one embodiment, Figure 2 The invention also provides a financial supervision data processing system, the system comprising:

[0097] A data analysis module, used to obtain the basic financial regulatory data transmitted through each preset information upload port, and perform data analysis on the basic financial regulatory data based on the preset data analysis processing port, and obtain the regulatory data verification time node and the regulatory data key confidential data, wherein one of the basic financial regulatory data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship;

[0098] A time node module, used for selecting a matching regulatory data processing department according to the regulatory data verification time node, and constructing a current matching regulatory department set according to each regulatory data processing department corresponding to one regulatory data verification time node;

[0099] An initial matching module, used to obtain the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and match each actual regulatory data processing capability value with the key confidential data of the regulatory data corresponding to the regulatory data verification time node, and generate initial matching results respectively;

[0100] A result generation module is used to generate the current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and to generate an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result.

[0101] In one embodiment, the system further comprises an efficiency weight generating module, wherein the efficiency weight generating module is used to:

[0102] The regulatory data actually processed by the regulatory data processing department within a first preset time period is quantitatively collected, and the current actual processing workload is obtained; the actual data processing efficiency value of the regulatory data processing department is generated according to the current actual processing workload and the first preset time period; the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within a second preset time period are obtained, wherein one financial regulatory basic data corresponds to one actual corresponding field; the number of each actual corresponding field is counted and arranged in descending order, and the actual corresponding field that ranks first after the descending order is set as the actual data expertise field of the regulatory data processing department; the emergency deployment capacity value made by the financial regulatory authority for the current regulatory data processing department is obtained; the actual regulatory data processing capacity value is generated according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value.

[0103] In one embodiment, the initial matching module is further used for:

[0104] Obtain the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and set the actual regulatory data processing capability value whose value is greater than the first preset capability value as the initial screening capability value; respectively obtain the actual data expertise fields corresponding to the initial screening capability values, and compare each of the actual data expertise fields with the corresponding regulatory data key confidential data, and respectively generate comparative similarity values, wherein one initial screening capability value, one actual data expertise field and one comparative similarity value have a one-to-one mapping relationship; set the initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value as the current matching result; set the initial screening capability value corresponding to the comparative similarity value whose value is less than the preset similarity value as the current unmatched result;

[0105] The result generation module is also used for:

[0106] Acquire the urgent processing demand of the financial regulatory basic data being processed, the regulatory data processing department in the current data allocation processing result corresponding to the financial regulatory basic data being processed is the currently processing regulatory department; generate other data processing departments that match the degree of cooperation of the currently processing regulatory department according to the urgent processing demand; acquire the current work task status of the other data processing departments, the current work task status is the deployable task status and the task full load status; send urgent demand instructions to other data processing departments in the deployable task status; generate work deployment instructions according to the urgent demand instructions, the work deployment instructions are used to deploy other data processing departments in the deployable task status to work with the currently processing regulatory department; acquire the basic support condition resources required by other data processing departments in the deployable task status for the urgent processing demand;

[0107] Acquire the real-time material support resources needed by the regulatory department currently processing the emergency processing needs; acquire the current actual support materials provided by the emergency demand subject that makes the emergency processing needs; generate resource allocation instructions based on the current actual support materials, the basic support condition resources and the real-time material support resources; and allocate materials that match the resource allocation instructions from a preset material storage repository according to the resource allocation instructions.

[0108] In one embodiment, Figure 3 As shown, a computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps described in the above-mentioned financial regulatory data processing method when executing the computer program.

[0109] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned financial regulatory data processing method.

[0110] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0111] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0112] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for processing financial regulatory data, characterized in that: The method comprises: The financial regulatory basic data transmitted through each preset information upload port is obtained, and data analysis is performed on the financial regulatory basic data based on the preset data analysis and processing port, and the regulatory data verification time node and the regulatory data key confidential data are obtained, wherein one financial regulatory basic data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship; a matching regulatory data processing department is selected according to the regulatory data verification time node, and a current matching regulatory department set is constructed according to each regulatory data processing department corresponding to one regulatory data verification time node; the actual regulatory data processing capacity value of each regulatory data processing department in the current matching regulatory department set is obtained, and each actual regulatory data processing capacity value is matched with the regulatory data key confidential data corresponding to the regulatory data verification time node, and initial matching results are generated respectively; the current data allocation processing result of the financial regulatory basic data is generated according to each initial matching result, and an initial allocation display interface is generated based on the current data allocation processing result, and the initial allocation display interface is used to display the current data allocation processing result.

2. The financial regulatory data processing method according to claim 1, characterized in that: The actual supervision data processing capability value includes an actual data processing efficiency value, an actual data expertise field, and an emergency deployment capability value. The actual data processing efficiency value and the emergency deployment capability value are added to obtain the numerical portion of the actual supervision data processing capability value, and the actual data expertise field is the attribute portion of the actual supervision data processing capability value. The method further comprises: The regulatory data actually processed by the regulatory data processing department within a first preset time period is quantitatively collected, and the current actual processing workload is obtained; the actual data processing efficiency value of the regulatory data processing department is generated according to the current actual processing workload and the first preset time period; the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within a second preset time period are obtained, wherein one financial regulatory basic data corresponds to one actual corresponding field; the number of each actual corresponding field is counted and arranged in descending order, and the actual corresponding field that ranks first after the descending order is set as the actual data expertise field of the regulatory data processing department; the emergency deployment capacity value made by the financial regulatory authority for the current regulatory data processing department is obtained; the actual regulatory data processing capacity value is generated according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value.

3. The financial regulatory data processing method according to claim 2, characterized in that: The initial matching result is a currently matching result or a currently unmatched result; Obtaining the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and matching each actual regulatory data processing capability value with the key confidentiality data of the regulatory data corresponding to the regulatory data verification time node, and generating initial matching results respectively; specifically including: Obtain the actual regulatory data processing capability value of each regulatory data processing department in the currently matching regulatory department set, and set the actual regulatory data processing capability value whose value is greater than the first preset capability value as the initial screening capability value; respectively obtain the actual data expertise fields corresponding to the initial screening capability values, and compare each of the actual data expertise fields with the corresponding key confidential data of the regulatory data, and respectively generate comparative similarity values, wherein an initial screening capability value, an actual data expertise field and a comparative similarity value have a one-to-one mapping relationship; set the initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value as the current matching result; set the initial screening capability value corresponding to the comparative similarity value whose value is less than the preset similarity value as the current unmatched result.

4. The financial regulatory data processing method according to claim 1, characterized in that: The current data allocation processing result is that a regulatory data processing department processes a piece of financial regulatory basic data; Generating a current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and generating an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result, and then further comprising: Acquire the urgent processing demand of the financial regulatory basic data being processed, the regulatory data processing department in the current data allocation processing result corresponding to the financial regulatory basic data being processed is the currently processing regulatory department; generate other data processing departments that match the cooperation degree of the currently processing regulatory department according to the urgent processing demand; acquire the current work task status of the other data processing departments, the current work task status is an deployable task status and a task full load status; send urgent demand instructions to other data processing departments in the deployable task status; generate work deployment instructions according to the urgent demand instructions, the work deployment instructions are used to deploy other data processing departments in the deployable task status to work in coordination with the currently processing regulatory department.

5. The financial regulatory data processing method according to claim 4, characterized in that: Generate a work deployment instruction according to the emergency demand instruction, the work deployment instruction is used to deploy other data processing departments in the deployable task state to work with the currently processing supervision department; and then further include: Obtain the basic support condition resources required by other data processing departments in the deployable task state for the emergency processing needs; obtain the real-time material support resources required by the currently processing regulatory department for the emergency processing needs; obtain the current actual support materials provided by the emergency demand subject that makes the emergency processing needs; generate resource allocation instructions based on the current actual support materials, the basic support condition resources and the real-time material support resources; and allocate materials that match the resource allocation instructions from a preset material storage repository according to the resource allocation instructions.

6. A financial regulatory data processing system, characterized in that: The system comprises: A data analysis module, used to obtain the basic financial regulatory data transmitted through each preset information upload port, and perform data analysis on the basic financial regulatory data based on the preset data analysis processing port, and obtain the regulatory data verification time node and the regulatory data key confidential data, wherein one of the basic financial regulatory data corresponds to one regulatory data verification time node and one regulatory data key confidential data, and the regulatory data verification time node and the regulatory data key confidential data have a matching connection relationship; A time node module, used for selecting a matching regulatory data processing department according to the regulatory data verification time node, and constructing a current matching regulatory department set according to each regulatory data processing department corresponding to one regulatory data verification time node; An initial matching module, used to obtain the actual regulatory data processing capability value of each regulatory data processing department in the current matching regulatory department set, and match each actual regulatory data processing capability value with the key confidential data of the regulatory data corresponding to the regulatory data verification time node, and generate initial matching results respectively; A result generation module is used to generate the current data allocation processing result of the financial regulatory basic data according to each of the initial matching results, and to generate an initial allocation display interface based on the current data allocation processing result, wherein the initial allocation display interface is used to display the current data allocation processing result.

7. The financial regulatory data processing system according to claim 6, characterized in that: The system further comprises an efficiency weight value generating module, wherein the efficiency weight value generating module is used to: Quantitatively collect the regulatory data actually processed by the regulatory data processing department within the first preset time period and obtain the current actual processing workload; Generate an actual data processing efficiency value of the supervisory data processing department according to the current actual processing workload and the first preset time period; Obtaining the actual corresponding fields of each financial regulatory basic data processed by the regulatory data processing department within the second preset time period, wherein one financial regulatory basic data corresponds to one actual corresponding field; counting the number of each actual corresponding field, and arranging them in descending order, and setting the actual corresponding field that ranks first after the descending order as the actual data expertise field of the regulatory data processing department; obtaining the emergency deployment capacity value made by the financial regulatory authority to the current regulatory data processing department; An actual supervision data processing capacity value is generated according to the actual data processing efficiency value, the actual data expertise field and the emergency deployment capacity value.

8. The financial regulatory data processing system according to claim 6, characterized in that: The initial matching module is also used for: Obtaining the actual regulatory data processing capability value of each regulatory data processing department in the currently matched regulatory department set, and setting the actual regulatory data processing capability value whose value is greater than the first preset capability value as the initial screening capability value; respectively obtaining the actual data expertise fields corresponding to the initial screening capability values, and comparing each actual data expertise field with the corresponding regulatory data key confidential data, and respectively generating comparative similarity values, wherein one initial screening capability value, one actual data expertise field and one comparative similarity value have a one-to-one mapping relationship; The initial screening capability value corresponding to the comparative similarity value whose value is greater than or equal to the preset similarity value is set as the current matching result; the initial screening capability value corresponding to the comparative similarity value whose value is less than the preset similarity value is set as the current unmatched result; The result generation module is also used for: Acquire the urgent processing demand of the financial regulatory basic data being processed, the regulatory data processing department in the current data allocation processing result corresponding to the financial regulatory basic data being processed is the currently processing regulatory department; generate other data processing departments that match the degree of cooperation of the currently processing regulatory department according to the urgent processing demand; acquire the current work task status of the other data processing departments, the current work task status is the deployable task status and the task full load status; send urgent demand instructions to other data processing departments in the deployable task status; generate work deployment instructions according to the urgent demand instructions, the work deployment instructions are used to deploy other data processing departments in the deployable task status to work with the currently processing regulatory department; acquire the basic support condition resources required by other data processing departments in the deployable task status for the urgent processing demand; Obtaining real-time material support resources required by the regulatory department currently processing the emergency processing needs; Acquire the current actual support materials provided by the emergency demand subject that makes the emergency processing demand; generate a resource allocation instruction according to the current actual support materials, the basic support condition resources and the real-time material support resources; According to the resource allocation instruction, materials matching the resource allocation instruction are allocated from a preset material storage library.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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