Processing Models and Methods for Local Regulatory Reporting Data

Abstract

This invention discloses a processing model and method for local regulatory reporting data, relating to the field of big data technology. The device includes: a file buffer unit for storing source data collected from the business systems of local regulated institutions; a source-attached storage unit for storing the source data while maintaining its original structure; a processing unit for obtaining source data from the file buffer layer or source-attached layer according to a pre-established indicator library, and processing it to generate basic data that meets the requirements of local regulatory departments; the indicator library includes basic indicators, derived indicators, and fused indicators; and a local regulatory standardization processing unit for verifying the basic data and / or source data according to a verification strategy library to obtain verification results; locating problems in abnormal verification results according to a problem library; and adjusting the basic data and / or source data according to the solution obtained from the problem location to obtain standardized local regulatory data. This invention can efficiently and accurately process local regulatory reporting data.

Description

Technical Field

[0001] This invention relates to the field of big data technology, and in particular to a processing model and method for local regulatory reporting data. Background Technology

[0002] This section is intended to provide background or context for the embodiments of the invention set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] With the rapid development of the social economy, new business chains are constantly emerging, and the difficulty of supervision is constantly increasing. In order to prevent risks caused by excessive innovation of financial products, banking supervision will be strengthened on the existing basis. Regulatory methods, technologies, concepts and systems also need to be innovated in tandem, so as to improve regulatory efficiency, professionalism and authority, and promote the competitiveness of the banking industry. At the same time, it also forces local regulatory departments to continuously improve regulatory strategies and technological innovation to meet the needs of the current ever-changing social development trends.

[0004] Faced with complex and ever-changing business models, the People's Bank of China, the China Banking and Insurance Regulatory Commission, and other relevant regulatory authorities have put forward higher data supervision requirements for local financial institutions. In order to cope with the changing regulatory system, ensure the quality of reported data, ensure the normal operation of the system and data storage requirements, financial institutions need to increase investment in technological innovation and operating costs to continuously meet the regulatory requirements of various regulatory agencies.

[0005] Currently, data in the local regulatory reporting system is uniformly collected and processed by the head office, using shared verification rules for data checking, splitting, and submission to various local regulatory agencies. The disadvantages of this regulatory reporting data processing method are:

[0006] 1. Local regulatory storage strategy: The head office and local regulatory data table space and file storage are shared, which leads to mutual occupation of resources such as data collection and processing, job scheduling and data transmission, and job dependence and waiting, resulting in the inability to provide local regulatory reporting data in a timely manner.

[0007] 2. Differences in Local Regulatory Inspection Rules: In addition to the standard inspection rules for regulatory requirements, local regulators may propose different inspection requirements based on their own understanding when conducting data quality checks. Establishing different inspection rules for different local regulatory requirements results in high implementation and maintenance costs.

[0008] 3. Differences in the scope of local regulatory reporting: There are differences in the timeliness, scope, and organization of data collection between the head office and local regulatory authorities. Currently, the data reported by local regulators is uniformly collected and distributed by the head office. Due to the large amount of data at the head office and the long collection time, some local regulatory reports are submitted earlier than those of the head office, and there are delays in the distribution of data from some source systems, resulting in poor quality of data distributed to local regulators.

[0009] Therefore, the processing efficiency and accuracy of existing local regulatory data reporting are both low. Summary of the Invention

[0010] This invention provides a processing model for local regulatory reporting data, used to efficiently and accurately process local regulatory reporting data. The model includes:

[0011] The file buffer unit is used to store source data collected from the business systems of local regulated institutions in the file buffer layer;

[0012] A source-attachment storage unit is used to store the source data in a way that preserves the source structure in the source-attachment layer.

[0013] The processing unit is used to obtain source data from the file buffer layer or the source layer according to the pre-established indicator library, and process it to generate basic data that meets the requirements of local regulatory authorities. The indicator library includes basic indicators, derived indicators and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained based on the basic indicators and the derived indicators.

[0014] The local regulatory standardization processing unit is used to perform verification on the basic data and / or source data according to a pre-established verification strategy library to obtain verification results; to locate the problems of abnormal verification results according to a pre-established problem library to obtain problem solutions; and to adjust the basic data and / or source data according to the problem solutions to obtain local regulatory standardized data.

[0015] In one embodiment, the processing unit is specifically used for:

[0016] Based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer to obtain standardized regulatory data as basic indicator data.

[0017] Based on the different characteristics of local supervision, the basic indicator data is analyzed to obtain derived indicator data;

[0018] Based on the aforementioned basic indicator data and derived indicator data, the fused indicator data is obtained;

[0019] Based on the aforementioned basic indicator data, derived indicator data, and integrated indicator data, basic data that meets the requirements of local regulatory authorities is obtained.

[0020] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: a setup unit, configured to pre-build the problem database according to the following method:

[0021] Collect detailed information on indicators reported by local regulated institutions, use standardized regulatory data as the basic indicators, conduct a differential analysis of the basic indicators according to the different characteristics and requirements of local regulation to obtain derived indicators, and construct a complete local regulatory indicator system as the indicator library based on the basic indicators, derived indicators and the integrated indicators obtained from the relationship between the various indicators.

[0022] Based on the aforementioned indicator database and local regulatory inspection requirements, a local regulatory inspection strategy database is established; the inspection strategy database is used to inspect the data of the regulated institutions.

[0023] In accordance with local regulatory requirements, the issues raised by the inspection strategy database or the regulatory agencies are archived to form the issue database.

[0024] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: an evaluation unit, used to evaluate the regulatory standardization data of each regulated institution based on the local regulatory standardization data.

[0025] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: a query unit, used to receive a user's query request and provide the query results to the user based on the question database.

[0026] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: an update unit, configured to add the problems and corresponding solutions that are not present in the problem database to the problem database when a problem and its corresponding solution are detected that are not present in the problem database.

[0027] This invention also provides a method for processing local regulatory reporting data, which can efficiently and accurately process local regulatory reporting data. The method includes:

[0028] The source data collected from the business systems of local regulated institutions will be stored in a file buffer layer;

[0029] The source data is stored in the source-attached layer in a manner that preserves the source structure;

[0030] Based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer and processed to generate basic data that meets the requirements of local regulatory authorities. The indicator library includes basic indicators, derived indicators, and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained based on the basic indicators and the derived indicators.

[0031] Based on a pre-established verification strategy library, the basic data and / or source data are verified to obtain verification results; based on a pre-established problem library, abnormal verification results are located to obtain problem solutions; based on the problem solutions, the basic data and / or source data are adjusted to obtain local regulatory standardized data.

[0032] In one embodiment, source data is obtained from a file buffer layer or a source layer based on a pre-established indicator library, and processed to generate basic data that meets the requirements of local regulatory authorities, including:

[0033] Based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer to obtain standardized regulatory data as basic indicator data.

[0034] Based on the different characteristics of local supervision, the basic indicator data is analyzed to obtain derived indicator data;

[0035] Based on the aforementioned basic indicator data and derived indicator data, the fused indicator data is obtained;

[0036] Based on the aforementioned basic indicator data, derived indicator data, and integrated indicator data, basic data that meets the requirements of local regulatory authorities is obtained.

[0037] In one embodiment, the method for processing the aforementioned local regulatory reporting data further includes: pre-establishing the problem database according to the following method:

[0038] Collect detailed information on indicators reported by local regulated institutions, use standardized regulatory data as the basic indicators, conduct a differential analysis of the basic indicators according to the different characteristics and requirements of local regulation to obtain derived indicators, and construct a complete local regulatory indicator system as the indicator library based on the basic indicators, derived indicators and the integrated indicators obtained from the relationship between the various indicators.

[0039] Based on the aforementioned indicator database and local regulatory inspection requirements, a local regulatory inspection strategy database is established; the inspection strategy database is used to inspect the data of the regulated institutions.

[0040] In accordance with local regulatory requirements, the issues raised by the inspection strategy database or the regulatory agencies are archived to form the issue database.

[0041] In one embodiment, the method for processing the aforementioned local regulatory reporting data may further include: evaluating the regulatory standardization data of each regulated institution based on the local regulatory standardization data.

[0042] In one embodiment, the above-mentioned method for processing local regulatory reporting data may further include: receiving a user's query request and providing the query results to the user based on the question database.

[0043] In one embodiment, the method for processing the aforementioned local regulatory reporting data may further include: when a problem and its corresponding solution are detected that do not appear in the problem database, adding the problem and its corresponding solution that do not appear in the problem database to the problem database.

[0044] In one embodiment, the problem database includes a tracking of historical problem resolutions.

[0045] In one embodiment, the derived indicator is specifically obtained by splitting the same basic indicator according to different regulatory requirements in different places.

[0046] In one embodiment, the fusion index is specifically obtained by fusing indicators with the same attributes from local regulatory authorities in different business systems.

[0047] In one embodiment, the attributes of the metric include: basic attributes, business attributes, technical attributes, regulatory attributes, and metric category attributes.

[0048] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the aforementioned method for processing local regulatory reporting data.

[0049] This invention also provides a computer-readable storage medium storing a computer program that performs the above-described method for processing local regulatory reporting data.

[0050] In this embodiment of the invention, the processing scheme for data reported by local regulators, compared with the existing technology where data is uniformly collected and processed by the head office, data is checked using shared verification rules, and data is split and reported to various local regulatory agencies, resulting in low efficiency and accuracy, has the following advantages:

[0051] First, an independent data storage strategy is adopted: the source data collected from the business systems of local regulatory agencies is stored in the file buffer layer, and the source data is stored in the paste source layer in a way that maintains the source structure. When processing data later, the source data is obtained from the file buffer layer or the paste source layer. This ensures that resources such as collection and processing, job scheduling, and data transmission do not occupy each other, and that jobs do not depend on waiting. This allows for timely provision of local regulatory reporting data and improves the efficiency of local regulatory reporting data processing.

[0052] Secondly, a unique processing mechanism is adopted: based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer, and processed to generate basic data that meets the requirements of local regulatory authorities. The indicator library includes basic indicators, derived indicators, and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained based on the basic indicators and derived indicators, thereby obtaining reporting data that meets the requirements of local regulatory authorities and improving the accuracy of local regulatory reporting data processing.

[0053] Next, based on the pre-established verification strategy library, the basic data and / or source data are verified to obtain verification results. This allows for rapid response to data inspections by regulatory agencies, improving the efficiency of local regulatory data processing. Based on the pre-established problem library, abnormal verification results are identified and solutions are derived. According to the solutions, the basic data and / or source data are adjusted to obtain standardized local regulatory data. This enables rapid analysis, identification, and rectification of problems, timely response to regulatory requirements, and improved quality of local regulatory data. Therefore, it enhances the efficiency and accuracy of local regulatory data processing.

[0054] In summary, the local regulatory reporting data processing provided by the embodiments of the present invention can efficiently and accurately process local regulatory reporting data. Attached Figure Description

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0056] Figure 1 This is a schematic diagram of the structure of the data processing model for local regulatory reporting in an embodiment of the present invention;

[0057] Figure 2 This is a schematic diagram of the structure of a local regulatory reporting data processing model in another embodiment of the present invention;

[0058] Figure 3 This is a schematic diagram of the application architecture for processing local regulatory reporting data in an embodiment of the present invention;

[0059] Figure 4 This is a flowchart illustrating the method for processing data submitted by local regulators in an embodiment of the present invention.

[0060] Figure 5This is a flowchart illustrating a method for processing data submitted by local regulators in another embodiment of the present invention. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0062] Before introducing the embodiments of the present invention, the terms involved in the present invention will be introduced first.

[0063] Standardized Regulatory Data: By clarifying the business and technical attributes of commercial bank data, the data structures of relevant institutions are mapped into a unified standard regulatory format to achieve the collection and processing of standardized regulatory data. The data sources include accounting records, transaction logs, and various management information, forming an interconnected and comprehensively utilized data system that facilitates data mining and analysis. Standardized regulatory data employs a typical analytical data structure, allowing for the extraction of inspection data views from different levels of banks and even branch offices, meeting the inspection and analysis needs of different regulatory departments at different levels. Simultaneously, it provides the basic data types required for commercial bank business management, enabling commercial banks to compare their own system architecture and data completeness, accuracy, and timeliness against standardized regulatory data. This provides an effective way for commercial banks to improve risk management and internal control, and enhance data governance.

[0064] To address the requirements of local regulatory authorities to establish independent data storage strategies and collection and processing mechanisms, and to develop a unified standard application platform, a processing solution for locally submitted regulatory data is proposed. This solution optimizes the local regulatory indicator system by collecting detailed indicator information submitted by local regulatory agencies, using standardized regulatory data as the base indicator, and conducting differential analysis based on the different characteristics and requirements of local regulations to derive derived indicators. A complete local regulatory indicator system is constructed from the base indicators, derived indicators, and their relationships. Simultaneously, local regulatory inspection rules are optimized by extracting differences based on the indicator system and local regulatory inspection requirements, establishing a local regulatory inspection rule database for rapid response to data inspections by regulatory agencies. Furthermore, the quality of locally submitted regulatory data is optimized by archiving indicator issues arising from inspection rule verification and those raised by regulatory agencies, forming an issue database for rapid analysis, problem identification, and rectification, enabling timely response to regulatory requirements and improving data quality. The following section provides a detailed introduction to this local regulatory data processing solution.

[0065] Figure 1 This is a schematic diagram of the structure of the local regulatory reporting data processing model in an embodiment of the present invention, such as... Figure 1 As shown, the model includes:

[0066] File buffer unit 01 is used to store source data collected from the business systems of local regulated institutions in the file buffer layer;

[0067] The source data storage unit 02 is used to store the source data in a way that preserves the source structure in the source layer.

[0068] Processing unit 03 is used to obtain source data from the file buffer layer or the source layer according to the pre-established indicator library, and process it to generate basic data that meets the requirements of local regulatory authorities. The indicator library includes basic indicators, derived indicators and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained based on the basic indicators and the derived indicators.

[0069] The local regulatory standardization processing unit 04 is used to perform verification on the basic data and / or source data according to the pre-established verification strategy library to obtain verification results; to locate the abnormal verification results according to the pre-established problem library to obtain problem solutions; and to adjust the basic data and / or source data according to the problem solutions to obtain local regulatory standardization data.

[0070] In this embodiment of the invention, the beneficial technical effects of the local regulatory data processing scheme compared to the existing technical solution where data is uniformly collected and processed by the head office, data is checked using shared verification rules, and then split and reported to various local regulatory agencies, resulting in low efficiency and accuracy, are as follows:

[0071] First, an independent data storage strategy is adopted: the source data collected from the business systems of local regulatory agencies is stored in the file buffer layer, and the source data is stored in the paste source layer in a way that maintains the source structure. When processing data later, the source data is obtained from the file buffer layer or the paste source layer. This ensures that resources such as collection and processing, job scheduling, and data transmission do not occupy each other, and that jobs do not depend on waiting. This allows for timely provision of local regulatory reporting data and improves the efficiency of local regulatory reporting data processing.

[0072] Secondly, a unique processing mechanism is adopted: based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer, and processed to generate basic data that meets the requirements of local regulatory departments; the indicator library includes basic indicators, derived indicators, and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution, the derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation, and the integrated indicators are obtained based on the basic indicators and derived indicators, which improves the accuracy of data processing reported by local regulators.

[0073] Next, based on the pre-established verification strategy library, the basic data and / or source data are verified to obtain verification results. This allows for rapid response to data inspections by regulatory agencies, improving the efficiency of local regulatory data processing. Based on the pre-established problem library, abnormal verification results are identified and solutions are derived. According to the solutions, the basic data and / or source data are adjusted to obtain standardized local regulatory data. This enables rapid analysis, identification, and rectification of problems, timely response to regulatory requirements, and improved quality of local regulatory data. Therefore, it enhances the efficiency and accuracy of local regulatory data processing.

[0074] In summary, the local regulatory reporting data processing provided by the embodiments of the present invention can efficiently and accurately process local regulatory reporting data.

[0075] Furthermore, the local regulatory reporting data processing solution provided in this embodiment of the invention can be applied not only to the banking sector, but also to the processing of local regulatory reporting data for group enterprises in other sectors.

[0076] The following is in conjunction with the appendix Figures 2 to 3 This paper provides a detailed introduction to the data processing model for local regulatory reporting in this invention.

[0077] First, we will introduce the file buffer unit and the source storage unit, such as... Figure 2 The file buffer layer and the pasting source area.

[0078] In practice, source system data can be unloaded into a file buffer layer via a data file system, and then loaded to form a source area or indicator layer (such as...). Figure 2 (The basic indicator layer, derived indicator layer, and fusion indicator layer are shown).

[0079] In practice, the source area collects and stores the data from various source business systems required for regulatory reporting. The main goal of this area is to store the source data in a historical manner while maintaining the source structure, so as to provide the data capability of providing full or cross-sectional data at any point in time for subsequent data integration and calculation.

[0080] In practice, the advantages of setting up a file buffer layer are: it facilitates management by classifying and storing data according to different source systems, different data supply institutions, different data supply dates, and data supply batches; it allows for file verification of data files supplied by the source system to eliminate erroneous files in advance; and it allows for the periodic archiving of historical data files according to a defined data archiving strategy, thereby improving storage space utilization.

[0081] Second, let's introduce the processing unit, such as... Figure 2 The data shows the basic indicator layer, derived indicator layer, and integrated indicator layer.

[0082] In one embodiment, the processing unit may specifically be used for:

[0083] Based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer to obtain standardized regulatory data as basic indicator data.

[0084] Based on the different characteristics of local supervision, the basic indicator data is analyzed to obtain derived indicator data;

[0085] Based on the aforementioned basic indicator data and derived indicator data, the fused indicator data is obtained;

[0086] Based on the aforementioned basic indicator data, derived indicator data, and integrated indicator data, basic data that meets the requirements of local regulatory authorities (such as...) is obtained. Figure 2 (The basic area shown).

[0087] In practical implementation, for example, the basic indicator could be "loan classification at twelve levels," the derived indicator could be "loan classification at five levels," and the integrated indicator could be formed by merging multiple data points from different dimensions (such as branches or systems) into a single common indicator. The basic data processed to meet local regulatory requirements can be any regulatory indicator.

[0088] In practical implementation, let's take another example. For basic indicators, such as "Transaction Amount Recorded in Personal Current Deposit Sub-Accounts," the head office only needs to report transaction amounts exceeding 1,000 RMB. Derived indicators: These are derived from differences in individual attributes of basic indicators. For example, if the reporting scope of the head office and branches differs, branch-specific indicators may arise. For instance, the Jiangsu branch might require reporting all transactions without a specific amount limit, thus creating the Jiangsu branch's derived indicator, "Transaction Amount Recorded in Personal Current Deposit Sub-Accounts." Integrated indicators: Basic or derived indicators from different regulatory reporting systems that share the same attributes are integrated into a single integrated indicator. For example, the ESAT regulatory reporting system has a derived indicator called "Personal Current Deposit Balance," and the Financial Auditing and Accounting Professionals (FADAP) system has an indicator for "Private Current Deposit Balance." These two indicators share the same attributes and are ultimately integrated into a single integrated indicator called "Personal Current Deposit Balance."

[0089] In practice, based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer to obtain standardized regulatory data as basic indicator data. Differential analysis is performed on the basic indicator data according to the different characteristics of local regulations to obtain derived indicator data. Based on the basic indicator data and the derived indicator data, integrated indicator data is obtained. Based on the basic indicator data, the derived indicator data, and the integrated indicator data, basic data that meets the requirements of local regulatory departments is obtained, improving the processing accuracy of local regulatory reporting data and resulting in high-quality local regulatory reporting data.

[0090] In practice, this step involves sorting out basic indicators, derived indicators, and integrated indicators according to local regulatory requirements, and processing them to generate basic data that meets local regulatory requirements.

[0091] Thirdly, we will introduce the standardized processing units for local supervision, such as... Figure 2 The data shown is standardized local regulatory data.

[0092] 1. First, let's introduce some preparatory steps: establish an indicator library, a verification strategy (rule) library (verification library), and a problem (list) library in advance.

[0093] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: a setup unit, configured to pre-build the problem database according to the following method:

[0094] Collect detailed information on indicators reported by local regulated institutions, use standardized regulatory data as the basic indicators, conduct a differential analysis of the basic indicators according to the different characteristics and requirements of local regulation to obtain derived indicators, and construct a complete local regulatory indicator system as the indicator library based on the basic indicators, derived indicators and the integrated indicators obtained from the relationship between the various indicators.

[0095] Based on the aforementioned indicator database and local regulatory inspection requirements, a local regulatory inspection strategy database is established; the inspection strategy database is used to inspect the data of the regulated institutions.

[0096] In accordance with local regulatory requirements, the issues raised by the inspection strategy database or the regulatory agencies are archived to form the issue database.

[0097] To facilitate understanding, let's take a specific example: We analyze and integrate the same or different indicators from different systems and dimensions to build an indicator library. Then, we generate a check library (check strategy library) based on the check rules of different check libraries. We build a problem library for the problems found during the check. Finally, we establish the relationship between different libraries to enable the splitting, fusion, and location of corresponding check rules and indicator problems from different perspectives.

[0098] In practice, a regulatory indicator database is established based on local regulatory applications to support the capabilities of various indicators and provide support for local regulatory systems.

[0099] (1) The established local regulatory indicator database may include:

[0100] Regulatory definition: Local regulatory requirements, such as those issued by the China Banking and Insurance Regulatory Commission, the People's Bank of China, or the National Audit Office.

[0101] Business Definition: Based on regulatory definitions and the actual business situation of financial institutions, the indicators are analyzed. For example, the regulatory definition of "Operating Status" is: Operating, Closed, Merged. The financial institution definition of "Operating Status" is: Operating, Closed. The analysis result of "Operating Status" is: Operating, Closed, Other.

[0102] Data Mapping: Data retrieval strategies (rules) determined based on business interpretation. For example, the "Bank Institution Code" business interpretation: The assignment is based on the institution status code in the China Construction Bank institution information table of the institution management component. The assignment logic is as follows: When the institution status code is '1-Pending Operation' or '2-Normal Operation', the value is 'Operating'; when the institution status code is '3-Suspended Operation' or '4-Terminated Operation', the value is 'Closed Operation'; otherwise, the value is 'Other'. The determined data retrieval rules are: When the institution status code is '1' or '2', the value is 'Operating'; when the institution status code is '3' or '4', the value is 'Closed Operation'; otherwise, the value is 'Other'.

[0103] (2) The established local regulatory inspection database may include:

[0104] List of rules: Verification rules (strategies) required by local regulations. These rules may include: length verification, null value verification, value range verification, association verification, logical verification, format verification, primary key constraint verification, assignment verification, etc.

[0105] (3) The established local issue archive (issue archive) may include:

[0106] Issue list: A list of issues collected from inspection rules and local regulatory inspections.

[0107] Issue review: The relationship between issues and review rules.

[0108] Problem tracking: Tracking and statistics on the resolution status of historical problems. In one embodiment, the problem database may include tracking results of the resolution status of historical problems.

[0109] For example, to illustrate step "(3)": Register the issues raised by local regulators and add information on issue analysis records, processing procedures and results; ensure that all historical issues can be tracked in a timely manner. For example: Issue Number → Indicator Number → Table Sequence Number → Regulatory Issue Number → Issue Description → Issue Source → Organization Name → Issue Data Batch → Number of Anomalies → Examples of Anomalies → Anomaly Ratio → Verification Script → Contact Person and Contact Information → Verification Rule Number → Verification Rule Description → Data Item Description → Filling Details → Regulatory Requirements → Business Interpretation → Table Chinese Name → Field Chinese Name → Source System Competent Authority → Source System Component Development Center → Source System Chinese Name → Source System English Name → Source System Number → Source Table English Name → Source Table Chinese Name → Source Field English Name → Source Field Chinese Name → Table Association Conditions → Table Constraint Conditions → Technical Mapping Rules → Processing Method → ​​Issue Registration Date → Latest Update Date → Issue-Related Business → Component Contact Person and Contact Information → Issue Verification Process → Issue Verification SQL: Does it need to issue a work contact form? → Work Contact Form Content → Work Contact Form Feedback → Final Root Cause Conclusion → Tag → Original Issue Number → Merged Issue Numbers → Issue Classification → Handling Method Classification → Handling Responsible Person → Issue Status → Handling Plan → Go-live Time → Verification Data Date → Rectification Effectiveness Verification SQL → Rectification Effectiveness.

[0110] In practice, the problem database can include the relationship between problems and corresponding solutions. For example, it can be a table. When problems are found in the inspection results, the problems can be found in the table, the corresponding solutions can be found, the reported data can be modified, and finally accurate local regulatory standardized data can be obtained.

[0111] (4) Provide system support: Provide application system support for local regulatory reporting.

[0112] 2. Next, we will introduce the detailed implementation plan for the local regulatory standardized processing unit.

[0113] In practice, the basic data and / or source data are verified according to the pre-established verification strategy library to obtain verification results; abnormal verification results are located according to the pre-established problem library to obtain problem solutions; and the basic data and / or source data are adjusted according to the problem solutions to obtain local regulatory standardized data.

[0114] In practice, Figure 3The application platform provides system management, indicator management, inspection management, issue management, and local regulatory report querying. It enables users to confirm, modify, and supplement issues in the inspection issue list and local regulatory inspections. For example, users can access the issue list (issue database) through the client to modify and supplement questionable or missing data. For instance, when processing data for a local regulatory department, the application platform's indicator database can provide specific indicators corresponding to that department, allowing processing units to perform data processing based on these indicators.

[0115] In specific implementation, such as Figure 2 As shown, local regulatory standardization data can currently be obtained directly from the source post and can be directly loaded into the local regulatory standardization database through data scheduling tools for data copying.

[0116] In specific implementation, such as Figure 2 As shown, the local regulatory application terminal can be Figure 2 The application platform shown. Figure 2 The supplementary data shown may refer to data that the system has not yet implemented machine collection, such as shareholder information tables and asset transfer tables. These are data that business personnel import from manual reports into the system through the application platform and then store in the data area of ​​local regulatory standardization.

[0117] In specific implementation, such as Figure 2 As shown, the advantage of forming either a "source layer" or an "indicator layer" is that the data in the source layer (source area) is directly comparable. For some indicator layers that require calculation, preprocessing simplifies subsequent data processing. Indicator data requiring calculation is copied from the file buffer layer to the indicator layers (basic indicator layer, derived indicator layer, and fused indicator layer). Data that does not require calculation generally moves from the file buffer layer to the source layer (source area). The indicator layer performs some data algorithms on the source layer data; after algorithm processing, some indicator layer data still depends on some data from the source area.

[0118] Fourth, we will now introduce some other preferred embodiments of the present invention.

[0119] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: an evaluation unit, used to evaluate the regulatory standardization data of each regulated institution based on the local regulatory standardization data.

[0120] In specific implementation, data quality performance assessment involves establishing a standardized regulatory data quality system based on local regulatory standardized data. This system involves establishing a comprehensive check rule base and issue database, and continuously improving data quality through check rules and data quality issues. It also involves establishing indicator early warning thresholds to assess business departments, components, branches, and other institutions, and to promote the rectification of data issues.

[0121] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: a query unit, used to receive a user's query request and provide the query results to the user based on the question database.

[0122] In practice, the problem file management involves classifying and managing the problems collected from local regulatory agencies according to the data source dimension, and establishing an error data problem database to facilitate business access and analysis at any time, avoiding the analysis of duplicate data problems; at the same time, the problem data is shared, and the problems analyzed in the problem databases of various local regulators can be queried and referenced to enable timely response to the data inspection work of the local banking regulatory bureau.

[0123] In one embodiment, the processing model for the aforementioned local regulatory reporting data may further include: an update unit, configured to add the problems and corresponding solutions that are not present in the problem database to the problem database when a problem and its corresponding solution are detected that are not present in the problem database.

[0124] In one embodiment, the derived indicator can specifically be obtained by splitting the same basic indicator according to different regulatory requirements in different places.

[0125] In practical implementation, the detailed analysis of local regulatory application indicators will be conducted, and indicator definitions will be clarified. Indicator splitting will be performed: the same indicator will be split according to the different regulatory requirements of different regions. For example, System A: Heilongjiang Branch of the China Banking and Insurance Regulatory Commission; Transaction Type: Chinese description corresponding to the transaction code, bank-defined (empty). System B: Zhejiang Branch of the China Banking and Insurance Regulatory Commission; Transaction Type: Chinese description corresponding to the transaction code, bank-defined (other). Indicator splitting: because the definitions of two identical indicators differ, the indicator needs to be split.

[0126] In one embodiment, the fusion index can specifically be obtained by fusing indicators with the same attributes from local regulatory authorities of different business systems.

[0127] In practical implementation, the detailed analysis of local regulatory application indicators will be conducted, the indicator definitions will be clarified, and the indicators will be fused as follows: Indicator fusion: Indicators with the same attributes from different local regulatory systems will be merged. For example, System A: Hebei Banking and Insurance Regulatory Bureau; personal time deposit account. System B: Beijing Banking and Insurance Regulatory Bureau; personal time deposit account. Merging indicators: These two identical indicators need to be merged into a single indicator data.

[0128] In one embodiment, the attributes of an indicator may include: basic attributes, business attributes, technical attributes, regulatory attributes, and indicator category attributes.

[0129] In practical implementation, the indicator relationship chain can include: five major attributes describing the indicator: basic attributes (applicable system, region, indicator description, applicable legal person, etc.), business attributes (indicator competent department, business interpretation, etc.), technical attributes (source component, source table, source field, etc.), regulatory attributes (regulatory standard definition, regulatory version number, etc.), and indicator category attributes (basic indicator, derived indicator, integrated indicator, etc.); and two major relationships: the relationship with the table and the difference in scope with the standard indicator.

[0130] In practical implementation, to facilitate understanding, the following examples are provided regarding the attributes of the above indicators:

[0131] Examples of basic attributes: indicator number, indicator name, indicator alias, Chinese abbreviation of indicator, English abbreviation of indicator, indicator description, applicable legal entity, applicable system, etc.

[0132] Examples of business attributes: interpretation of indicator business, bank product to which the indicator belongs, and competent department of indicator business.

[0133] Examples of technical attributes: source system management department, development center of source system components, Chinese name of source system, English name of source system, source system number, English name of source table, Chinese name of source table, English name of source field, Chinese name of source field, table association conditions, table constraints, technical mapping rules, processing method, special processing flag, code number, desensitization type, desensitization rules, whether it is a primary key, whether it is an index, whether it is a key field, whether null values ​​are allowed.

[0134] Examples of regulatory attributes: regulatory version number, Chinese name of regulatory data item, English name of regulatory data item, description of regulatory data item, regulatory reporting rules, regulatory anonymization requirements, data type name of regulatory data item, regulatory field type, and regulatory reporting constraints.

[0135] Example of indicator category attributes: indicator category, indicator flag to be merged, and explanation of differences from the merged indicator.

[0136] In addition, an indicator issue archive is maintained: Indicator issues arising from verification rule checks or regulatory inspections are recorded and archived. For example, an issue database is created for indicators that currently or have had issues. Data items in the issue database may include: Issue Number → Indicator Number → Table Number → Regulatory Issue Number → Issue Description → Issue Source → Institution Name → Issue Data Batch → Number of Anomalies → Examples of Anomalies → Anomaly Ratio → Verification Script → Contact Person and Contact Information → Verification Rule Number → Verification Rule Description → Data Item Description → Reporting Details → Regulatory Requirements → Business Interpretation → Table Chinese Name → Field Chinese Name → Source System Management Department → Source System Component Development Center → Source System Chinese Name → Source System English Name → Source System Number → Source Table English Name → Source System Table Chinese Name → Source Field English Name → Source Field Chinese Name → Table Association Conditions → Table Constraints → Technical Mapping Rules → Processing Method → ​​Issue Registration Date → Latest Update Date → Business Affected by the Issue → Component Contact Person and Contact Information → Issue Verification Process → Does the Issue Verification SQL Require a Work Order? → Work Order Content → Work Order Feedback → Final Root Cause Conclusion → Tag → Original Issue Number → Merge Issue Numbers → Issue Classification → Handling Method Classification → Responsible Person for Handling → Issue Status → Handling Plan → Go-live Time → Verification Data Date → Rectification Effectiveness Verification SQL → Rectification Effectiveness.

[0137] This invention also provides a method for processing local regulatory reporting data, as described in the following embodiments. Since the principle behind this method is similar to the local regulatory reporting data processing model, its implementation can be found in the implementation of the local regulatory reporting data processing model; repeated details will not be elaborated further.

[0138] Figure 4 This is a flowchart illustrating the method for processing locally reported regulatory data in an embodiment of the present invention, as shown below. Figure 4 As shown, the method includes the following steps:

[0139] Step 101: Store the source data collected from the business systems of local regulated institutions in a file buffer layer;

[0140] Step 102: Store the source data in the source-attach layer in a manner that preserves the source structure;

[0141] Step 103: Based on the pre-established indicator library, obtain source data from the file buffer layer or the source layer, and process it to generate basic data that meets the requirements of local regulatory authorities. The indicator library includes basic indicators, derived indicators, and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained based on the basic indicators and the derived indicators.

[0142] Step 104: Based on the pre-established verification strategy library, verify the basic data and / or source data to obtain verification results; based on the pre-established problem library, locate the problems in the abnormal verification results to obtain problem solutions; based on the problem solutions, adjust the basic data and / or source data to obtain local regulatory standardized data.

[0143] In one embodiment, source data is obtained from a file buffer layer or a source layer based on a pre-established indicator library, and processed to generate basic data that meets the requirements of local regulatory authorities, including:

[0144] Based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer to obtain standardized regulatory data as basic indicator data.

[0145] Based on the different characteristics of local supervision, the basic indicator data is analyzed to obtain derived indicator data;

[0146] Based on the aforementioned basic indicator data and derived indicator data, the fused indicator data is obtained;

[0147] Based on the aforementioned basic indicator data, derived indicator data, and integrated indicator data, basic data that meets the requirements of local regulatory authorities is obtained.

[0148] In one embodiment, the method for processing the aforementioned local regulatory reporting data further includes: pre-establishing the problem database according to the following method:

[0149] Collect detailed information on indicators reported by local regulated institutions, use standardized regulatory data as the basic indicators, conduct a differential analysis of the basic indicators according to the different characteristics and requirements of local regulation to obtain derived indicators, and construct a complete local regulatory indicator system as the indicator library based on the basic indicators, derived indicators and the integrated indicators obtained from the relationship between the various indicators.

[0150] Based on the aforementioned indicator database and local regulatory inspection requirements, a local regulatory inspection strategy database is established; the inspection strategy database is used to inspect the data of the regulated institutions.

[0151] In accordance with local regulatory requirements, the issues raised by the inspection strategy database or the regulatory agencies are archived to form the issue database.

[0152] In one embodiment, such as Figure 5 As shown, the above-mentioned method for processing local regulatory reporting data may further include step 105: evaluating the regulatory standardization data of each regulated institution based on the local regulatory standardization data.

[0153] In one embodiment, the above-mentioned method for processing local regulatory reporting data may further include: receiving a user's query request and providing the query results to the user based on the question database.

[0154] In one embodiment, the method for processing the aforementioned local regulatory reporting data may further include: when a problem and its corresponding solution are detected that do not appear in the problem database, adding the problem and its corresponding solution that do not appear in the problem database to the problem database.

[0155] In one embodiment, the problem database includes a tracking of historical problem resolutions.

[0156] In one embodiment, the derived indicator is specifically obtained by splitting the same basic indicator according to different regulatory requirements in different places.

[0157] In one embodiment, the fusion index is specifically obtained by fusing indicators with the same attributes from local regulatory authorities in different business systems.

[0158] In one embodiment, the attributes of the metric include: basic attributes, business attributes, technical attributes, regulatory attributes, and metric category attributes.

[0159] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the aforementioned method for processing local regulatory reporting data.

[0160] This invention also provides a computer-readable storage medium storing a computer program that performs the above-described method for processing local regulatory reporting data.

[0161] In this embodiment of the invention, the processing scheme for data reported by local regulators, compared with the existing technology where data is uniformly collected and processed by the head office, data is checked using shared verification rules, and data is split and reported to various local regulatory agencies, resulting in low efficiency and accuracy, has the following advantages:

[0162] First, an independent data storage strategy is adopted: the source data collected from the business systems of local regulatory agencies is stored in the file buffer layer, and the source data is stored in the paste source layer in a way that maintains the source structure. When processing data later, the source data is obtained from the file buffer layer or the paste source layer. This ensures that resources such as collection and processing, job scheduling, and data transmission do not occupy each other, and that jobs do not depend on waiting. This allows for timely provision of local regulatory reporting data and improves the efficiency of local regulatory reporting data processing.

[0163] Secondly, a unique processing mechanism is adopted: based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer, and processed to generate basic data that meets the requirements of local regulatory authorities. The indicator library includes basic indicators, derived indicators, and integrated indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained based on the basic indicators and derived indicators, thereby obtaining reporting data that meets the requirements of local regulatory authorities and improving the accuracy of local regulatory reporting data processing.

[0164] Next, based on the pre-established verification strategy library, the basic data and / or source data are verified to obtain verification results. This allows for rapid response to data inspections by regulatory agencies, improving the efficiency of local regulatory data processing. Based on the pre-established problem library, abnormal verification results are identified and solutions are derived. According to the solutions, the basic data and / or source data are adjusted to obtain standardized local regulatory data. This enables rapid analysis, identification, and rectification of problems, timely response to regulatory requirements, and improved quality of local regulatory data. Therefore, it enhances the efficiency and accuracy of local regulatory data processing.

[0165] In summary, the local regulatory reporting data processing provided by the embodiments of the present invention can efficiently and accurately process local regulatory reporting data.

[0166] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0167] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0168] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0169] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0170] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A processing model for local regulatory reporting data, characterized in that, include: The file buffer unit is used to store source data collected from the business systems of local regulated institutions in the file buffer layer; A source-attachment storage unit is used to store the source data in a way that preserves the source structure in the source-attachment layer. The processing unit is used to obtain source data from the file buffer layer or the source layer according to a pre-established indicator library, and obtain standardized regulatory data as basic indicator data; perform difference analysis on the basic indicator data according to different local regulatory characteristics to obtain derived indicator data; obtain fused indicator data based on the basic indicator data and the derived indicator data; and obtain basic data that meets the requirements of local regulatory departments based on the basic indicator data, the derived indicator data, and the fused indicator data. The indicator library includes basic indicators, derived indicators, and fused indicators. The basic indicators are the standardized regulatory data indicators of each regulated institution, the derived indicators are obtained by performing difference analysis on the basic indicators according to different local regulatory characteristics, and the fused indicators are obtained based on the basic indicators and the derived indicators. The local regulatory standardization processing unit is used to perform verification on the basic data and / or source data according to the pre-established verification strategy library, and obtain the verification results; Based on a pre-established problem database, abnormal inspection results are identified and solutions are obtained. The problem database includes the relationship between problems and corresponding solutions. Based on the solution to the problem, the underlying data and / or source data are adjusted to obtain standardized local regulatory data.

2. The data processing model for local regulatory reporting as described in claim 1, characterized in that, It also includes: a setup unit for pre-building the problem database according to the following method: Collect detailed information on indicators reported by local regulated institutions, use standardized regulatory data as the basic indicators, conduct a differential analysis of the basic indicators according to the different characteristics and requirements of local regulation to obtain derived indicators, and construct a complete local regulatory indicator system as the indicator library based on the basic indicators, derived indicators and the integrated indicators obtained from the relationship between the various indicators. Based on the aforementioned indicator database and local regulatory inspection requirements, a local regulatory inspection strategy database is established; the inspection strategy database is used to inspect the data of the regulated institutions. In accordance with local regulatory requirements, the issues raised by the inspection strategy database or the regulatory agencies are archived to form the issue database.

3. The data processing model for local regulatory reporting as described in claim 1, characterized in that, Also includes: An assessment unit is used to assess the regulatory standardization data of each regulated institution based on the local regulatory standardization data.

4. The data processing model for local regulatory reporting as described in claim 1, characterized in that, Also includes: The query unit is used to receive a question query request input by the user and return the query results to the user based on the question database.

5. The data processing model for local regulatory reporting as described in claim 1, characterized in that, Also includes: An update unit is used to add a problem and its corresponding solution that are not present in the problem database to the problem database when a problem and its corresponding solution are detected that are not present in the problem database.

6. The data processing model for local regulatory reporting as described in claim 1, characterized in that, The fusion index is specifically obtained by fusing indicators with the same attributes from local supervision in different business systems.

7. The data processing model for local regulatory reporting as described in claim 6, characterized in that, The attributes of an indicator include: basic attributes, business attributes, technical attributes, regulatory attributes, and indicator category attributes.

8. The processing model for local regulatory reporting data as described in claim 1, characterized in that, The derived indicators are specifically derived by splitting the same basic indicator according to different regulatory requirements in different regions.

9. A method for processing data submitted by local regulatory authorities, characterized in that, include: The source data collected from the business systems of local regulated institutions will be stored in a file buffer layer; The source data is stored in the source-attached layer in a manner that preserves the source structure; Based on a pre-established indicator library, source data is obtained from the file buffer layer or the source layer to obtain standardized regulatory data as basic indicator data. Differential analysis is performed on the basic indicator data according to the different characteristics of local regulation to obtain derived indicator data. Based on the basic indicator data and the derived indicator data, integrated indicator data is obtained. Based on the basic indicator data, the derived indicator data, and the integrated indicator data, basic data that meets the requirements of local regulatory departments is obtained. The indicator library includes basic indicators, derived indicators, and integrated indicators. The basic indicators are the standardized regulatory data indicators for each regulated institution. The derived indicators are obtained by performing differential analysis on the basic indicators according to the different characteristics of local regulation. The integrated indicators are obtained from the basic indicators and the derived indicators. Based on a pre-established verification strategy library, the basic data and / or source data are verified to obtain verification results; Based on a pre-established problem database, abnormal inspection results are identified and solutions are obtained. The problem database includes the relationship between problems and corresponding solutions. Based on the solution to the problem, the underlying data and / or source data are adjusted to obtain standardized local regulatory data.

10. The method for processing local regulatory reporting data as described in claim 9, characterized in that, It also includes: pre-establishing the question database according to the following method: Collect detailed information on indicators reported by local regulated institutions, use standardized regulatory data as the basic indicators, conduct a differential analysis of the basic indicators according to the different characteristics and requirements of local regulation to obtain derived indicators, and construct a complete local regulatory indicator system as the indicator library based on the basic indicators, derived indicators and the integrated indicators obtained from the relationship between the various indicators. Based on the aforementioned indicator database and local regulatory inspection requirements, a local regulatory inspection strategy database is established; the inspection strategy database is used to inspect the data of the regulated institutions. In accordance with local regulatory requirements, the issues raised by the inspection strategy database or the regulatory agencies are archived to form the issue database.

11. The method for processing local regulatory reporting data as described in claim 9, characterized in that, Also includes: Based on the aforementioned local regulatory standardization data, assess the regulatory standardization data of each regulated institution.

12. The method for processing local regulatory reporting data as described in claim 9, characterized in that, Also includes: Receive a question query request from a user and return the query results to the user based on the question database.

13. The method for processing local regulatory reporting data as described in claim 9, characterized in that, Also includes: When a problem and its corresponding solution are not found in the problem database, the problem and its corresponding solution are added to the problem database.

14. The method for processing local regulatory reporting data as described in claim 9, characterized in that, The problem database includes tracking results of how historical problems have been resolved.

15. The method for processing local regulatory reporting data as described in claim 9, characterized in that, The derived indicators are specifically derived by splitting the same basic indicator according to different regulatory requirements in different regions.

16. The method for processing local regulatory reporting data as described in claim 9, characterized in that, The fusion index is specifically obtained by fusing indicators with the same attributes from local supervision in different business systems.

17. The method for processing local regulatory reporting data as described in claim 16, characterized in that, The attributes of an indicator include: basic attributes, business attributes, technical attributes, regulatory attributes, and indicator category attributes.

18. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 9 to 17.

19. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that performs the method of any one of claims 9 to 17.

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