Financial sharing center business and financial integrated process automatic processing system

Abstract

The invention discloses a financial sharing center business and financial integrated process automatic processing system, which belongs to the technical field of financial processing, and specifically comprises: a business event receiving module receives a business and financial event flow containing a business operation code, a transaction entity identifier and a transaction track description; the business and financial trajectory analysis module matches the reference value flow model, segments the reference value flow model based on the business nodes, and generates a trajectory model; a voucher reconstruction triggering module calls a historical transaction feature set during mapping conflict; the voucher template fusion module screens historical templates, removes conflict fragments, calibrates the curvature radius and outputs a reconstruction template; the voucher generation module analyzes the initial coordinate, converts the subject mark group into a voucher entry, and records value fluctuation as a verification factor; the traceability output module fuses the coordinate sequence, the operation record and the environment snapshot to generate a traceability identifier, and outputs the traceability identifier to a financial sharing center; according to the invention, the accuracy, adaptability and traceability of the business and financial integrated process processing of the financial sharing center are improved.

Description

Technical Field

[0001] The present invention relates to the field of financial processing technology, and in particular to an automated processing system for business-finance integration processes in a financial shared center. Background Art

[0002] As enterprises deepen their digital transformation, the process automation capabilities of the Financial Shared Services Center (FSC), the core hub for business-finance integration, have become crucial for improving operational efficiency. In this integrated business-finance scenario, the interaction between business and financial systems generates massive amounts of business-finance event streams, encompassing multi-dimensional transaction data such as procurement, sales, and funds collection and payment. In conglomerates, the complexity of cross-regional and multi-format operations leads to high frequency of business-finance data interaction and highly variable value flows, necessitating the intelligent conversion of business events into financial vouchers and full-process traceability through automated systems. Existing automated processing systems for integrated business and finance processes are typically based on pre-set rule engines, automatically generating vouchers by mapping business operations to accounting items. For example, some systems associate fixed voucher templates with business operation codes, use historical average data to set benchmark business nodes when analyzing transaction traces in segments, and trigger template matching logic when detecting transaction turning points. These systems can achieve basic business and financial data flow, meeting the automation requirements of common business scenarios, significantly improving financial processing efficiency and reducing manual intervention. However, the fixed benchmark business nodes of the existing system are difficult to dynamically adapt to sudden changes in value flows. For example, temporary tax nodes caused by exchange rate fluctuations in cross-border procurement are easily overlooked, leading to tax accounting deviations; template matching relies on a single feature and does not consider differences in account combinations caused by factors such as changes in accounting policies, resulting in errors in voucher entries and the inability to calibrate tax differences; and traceability only records simple logs, lacks a complete restoration of business scenarios and environmental parameters, and is difficult to verify the balance of account balances. Summary of the Invention

[0003] The purpose of this invention is to provide a financial shared center business and financial integration process automation processing system to solve the following technical problems: The existing system has fixed benchmark business nodes that are difficult to dynamically adapt to sudden changes in value flows, template matching relies on a single feature and does not consider factors such as changes in accounting policies, which lead to differences in account combinations, and traceability only records simple logs but lacks complete restoration of business scenarios and environmental parameters.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An automated processing system for business-finance integration processes in a financial shared center, including: The business event receiving module is used to receive the business and financial event stream of the business system, including the business operation code, transaction entity identifier, and transaction track description; The business and financial trajectory parsing module is used to match the benchmark value stream model of the historical voucher template library based on business operation codes. The benchmark value stream model has a preset accounting subject tag group. It marks transaction direction turning points in the transaction trajectory description where the value flow deflection angle exceeds a preset threshold as business nodes. The business nodes divide the benchmark value stream model into several installment segments, and the accounting subject tag groups of the installment segments are activated to generate the business and financial event trajectory model. The voucher reconstruction trigger module is used to retrieve the historical transaction feature set of the transaction entity identifier when the accounting subject tag group mapping relationship of the business and financial event trajectory model conflicts with the rules of the historical voucher template library; The voucher template fusion module is used to select the historical voucher template with the highest similarity based on the historical transaction feature set, remove voucher element fragments with conflicting accounting subject tag groups in the template fusion container, calibrate the value flow curvature radius of the connection points of the voucher element fragments, and output the reconstructed voucher template; The voucher generation module is used to parse and reconstruct the starting business node coordinates of the voucher template, locate the business node transaction coordinates along the baseline value stream model, convert the accounting subject tag group indexed by the transaction coordinates into the account code and debit / credit direction of the voucher entry, and record the value fluctuation range between business nodes as the cross-checking verification factor; The traceability output module is used to integrate the business node coordinate sequence, template fusion container operation records, and voucher generation environment snapshots to generate business and financial traceability identification, and write the accounting voucher data package to output to the financial shared center.

[0005] As a further solution of the present invention: in the business and financial trajectory analysis module, the construction process of the benchmark value stream model is as follows: Business operation codes are associated with standard transaction paths for typical business scenarios through a preset mapping table. This standard transaction path sets benchmark business nodes based on the average of historical transaction turning points. Accounting subject marker groups are pre-bound to the corresponding segments of the benchmark business nodes during the initial configuration phase. When a new transaction trajectory description is entered, the trajectory analysis module detects the coordinate deviation between the actual transaction turning point and the benchmark business node in real time. If the coordinate deviation exceeds the accounting materiality level threshold, a temporary business node is added. The temporary business node automatically activates the nearest accounting subject tag group and is bound to the tax accounting identifier.

[0006] As a further solution of the present invention: in the credential reconstruction trigger module, the generation process of the historical transaction feature set is as follows: Accurately retrieve similar business event records from the transaction entity database for the last three accounting periods of the transaction entity identifier. Extract the business node coordinate sequence of the benchmark value stream model in the business and financial event trajectory model corresponding to these events. Calculate the distribution frequency of each business node coordinate in the financial turnover analysis dimension. Count the combination types and probability weights of accounting subject mark groups for the same accounting period segment. Finally, the business node distribution frequency and the subject combination probability are combined to form a multidimensional feature matrix, and the multidimensional feature matrix is dynamically updated according to the accounting policy change flag.

[0007] As a further solution of the present invention: in the voucher template fusion module, the process of selecting the historical voucher template with the highest similarity based on the historical transaction feature set is as follows: The multi-dimensional feature matrix is loaded into a dedicated template matching engine to generate a business node distribution heat map. The heat map is then compared with the node topology structure in the historical voucher template library for multi-dimensional similarity calculation. The similarity calculation process comprehensively considers the node position weight factor and the subject combination consistency coefficient. The historical voucher templates whose weight factors exceed the preset ratio threshold are selected as candidate templates, and the template with the highest account combination consistency coefficient is selected from all candidate templates and input into the template fusion container.

[0008] As a further solution of the present invention: in the voucher template fusion module, the process of calibrating the value flow curvature radius of the voucher element segment connection point is as follows: Obtain the real-time value curvature value of the endpoints of the voucher element segment to be connected, calculate the tax and accounting difference between the value curvature values of the two endpoints, and compare and analyze the tax and accounting difference with the dynamic tolerance interval; The dynamic tolerance interval is set according to the accounting standards. The basic tolerance interval is used for the elements of monetary funds vouchers, and the high-level tolerance interval is used for the elements of revenue recognition vouchers. When the tax and accounting difference is within the tolerance range, the segments are directly connected. If it exceeds the tolerance range, a tax adjustment transition segment is automatically inserted. The length of the transition segment is positively correlated with the tax and accounting difference.

[0009] As a further solution of the present invention, the voucher generation module converts the accounting subject tag group of the transaction coordinate index into the subject code and debit / credit direction of the voucher entry, and records the value fluctuation range between business nodes as a verification factor. The process is as follows: First, the starting business node coordinates are read to determine the starting position of the voucher entry. Each business node is located sequentially along the direction of the baseline value stream model, and detailed transaction coordinate data of the business node is obtained. The accounting subject tag group corresponding to the transaction coordinates is converted in real time into a voucher entry instruction containing the general ledger account code, auxiliary accounting item, and debit / credit direction. At the same time, the value fluctuation range between business nodes is converted into cross-check verification factors to record change characteristics, and finally the voucher entry instructions and cross-check verification factors are packaged together into an accounting voucher data package.

[0010] As a further solution of the present invention: in the traceability output module, the process of generating the business and financial traceability identifier is as follows: Acquire business node coordinate sequences according to the baseline value stream model; extract voucher element fragments from the template fusion container to reconstruct the operation type and precise timestamp; capture real-time snapshots of the financial system environment, including accounting period identifiers, based on the voucher generation module; The business node coordinate sequence maintains the original encoding format, the reorganized operation type is input into the feature encoder and converted into a digital operation feature code, and the financial system environment snapshot is compressed using a lossless algorithm to generate a unique environment fingerprint; The processed business node coordinate sequence, operation feature code and environmental fingerprint are input into the feature interleaving engine together, and a triple data interleaving operation is performed to generate an irreversible business and financial traceability identification.

[0011] As a further solution of the present invention: In the traceability output module, the process of outputting to the financial shared center is: The Financial Shared Service Center parses the financial traceability identifier in the accounting voucher data package to separate the business node coordinate sequence, operation feature code and environmental fingerprint; The original business and financial event trajectory model is fully restored through the business node coordinate sequence; the operation feature code is decoded and the voucher template reconstruction simulator is driven to output the historical operation instruction sequence; the environmental fingerprint is decompressed and loaded into the financial virtual environment to restore the operation scenario; The original business and financial event trajectory model, the historical operation sequence and the financial virtual environment together form a three-dimensional verification chain, which is used to perform credit and debit balance verification at the account balance level.

[0012] As a further solution of the present invention: continuously monitor the total number of business nodes and subject dependency depth indicators of each template in the historical voucher template library, count the actual calling frequency of each template according to the accounting period, use the sliding window algorithm to calculate the moving average of the calling frequency of each template, and when the moving average of any template is continuously lower than the preset active threshold, mark it as a template to be streamlined, obtain the calling frequency of all voucher element fragments of the template to be streamlined, retain the voucher element fragments whose calling frequency exceeds the set threshold in the template to be streamlined, remove other voucher element fragments, and reconstruct the minimum accounting cross-reference relationship for the retained voucher element fragments to form a streamlined template.

[0013] Beneficial effects of the present invention: The present invention uses a business and financial trajectory analysis module to match the benchmark value flow model based on the business operation code, marks the transaction direction turning point where the value flow deflection angle exceeds the threshold as a business node and divides it into phased segments, activates the corresponding accounting subject tag group to generate a business and financial event trajectory model, solves the problem that fixed benchmark business nodes are difficult to adapt to sudden changes in value flow, and avoids tax accounting deviations caused by the neglect of temporary tax nodes in scenarios such as cross-border procurement; retrieves the historical transaction feature set of the transaction entity identifier through the voucher reconstruction trigger module, combines the voucher template fusion module to screen the historical voucher template with the highest similarity based on the multi-dimensional feature matrix, and removes conflicting element fragments in the template fusion container. The value flow curvature radius is segmented and calibrated, which solves the problem of template matching relying on a single feature and not considering changes in accounting policies, avoids errors in voucher entries and realizes the accurate calibration of tax and accounting differences; through the traceability output module, the business node coordinate sequence, template fusion operation records and voucher generation environment snapshots are integrated to generate business and financial traceability identification, and a three-dimensional verification chain including the original trajectory model, historical operation sequence and financial virtual environment is constructed, which solves the problem of traceability only recording simple logs, realizes the complete restoration of business scenarios and environmental parameters and account balance-level debit and credit balance verification, and comprehensively improves the accuracy, adaptability and traceability of the business and financial integration process processing of the financial shared center. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention will be further described below with reference to the accompanying drawings.

[0015] Figure 1 It is a module schematic diagram of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, the present invention is an automated processing system for business and financial integration processes in a financial shared center, comprising: The business event receiving module receives business and financial event streams from various business systems. These event streams contain three core pieces of information: business operation codes, transaction entity identifiers, and transaction trajectory descriptions. The business operation codes accurately identify the business type, the transaction entity identifiers clearly identify the parties involved in the transaction, and the transaction trajectory descriptions detail the paths and links of value transfer, providing raw data support for subsequent process processing. The business and financial trajectory parsing module matches the business operation code to a corresponding baseline value stream model from a library of historical voucher templates. This model is preconfigured with accounting subject markers corresponding to each business process. When processing transaction trajectory descriptions, the module identifies turning points where the value flow deflection angle exceeds a preset threshold and marks these turning points as business nodes. Using the business nodes, the baseline value stream model is segmented into several phased segments, and the corresponding accounting subject markers are activated for each phased segment, ultimately generating a complete business and financial event trajectory model. When the voucher reconstruction trigger module detects a conflict between the accounting subject tag group mapping relationship in the business and financial event trajectory model and the rules in the historical voucher template library, it automatically retrieves the historical transaction feature set corresponding to the transaction entity identifier. These feature sets include past processing records and subject tag combination patterns of similar transactions, providing a reference for voucher template reconstruction. The voucher template fusion module selects the most similar historical voucher templates based on a historical transaction feature set and imports them into a template fusion container. Within the container, the module removes voucher element fragments that conflict with the current accounting subject identification group and calibrates the value flow curvature radius of the remaining element fragments' connection points to ensure logical coherence of the value flow. Ultimately, it outputs a reconstructed voucher template adapted to the current business scenario. The voucher generation module parses and reconstructs the starting business node coordinates of the voucher template, locates the transaction coordinates of each business node in sequence along the benchmark value stream model, converts the accounting subject mark groups indexed by these coordinates into the account code and debit and credit directions in the voucher entry, and records the value fluctuation range between each business node as a cross-check verification factor to provide data support for voucher verification. The traceability output module integrates the business node coordinate sequence, the operation record of the template fusion container, and the environmental snapshot when the voucher is generated to generate a unique business and financial traceability identifier. After writing the identifier into the accounting voucher data package, it is output to the financial shared center to provide a complete basis for subsequent auditing and tracing.

[0018] In a preferred embodiment of the present invention, in the business and financial trajectory analysis module, the process of constructing the benchmark value stream model is as follows: When the business and financial trajectory analysis module constructs a baseline value stream model, business operation codes are associated with standard transaction paths for typical business scenarios through a preset mapping table. This preset mapping table, generated based on historical transaction data accumulation and business process analysis, covers common business scenarios such as procurement, sales, and funds collection and payment, ensuring that each business operation code is accurately matched to the corresponding standard transaction path. The standard transaction path sets benchmark business nodes based on the average of historical transaction turning points. These nodes represent key links in the business process where the direction of value flow changes significantly. During the initial configuration phase, accounting subject marking groups are pre-bound to the corresponding segments of each benchmark business node, forming a subject mapping framework that matches the business process and lays the foundation for subsequent automated processing.

[0019] When a new transaction trajectory description is entered, the trajectory analysis module compares the coordinate deviations of the actual transaction turning points with those of the benchmark business nodes in real time. This coordinate deviation reflects the degree of deviation from the standard path for actual business execution. If the deviation exceeds the accounting materiality threshold, it indicates that the turning point has special financial significance and requires separate processing. At this point, the system automatically adds a temporary business node. This temporary business node not only activates the nearest accounting subject marking group but also simultaneously binds the tax accounting identifier. This mechanism ensures that the tax attributes of specific transaction links are accurately captured, avoiding omissions or errors in tax processing due to business process variations, and ensuring corporate tax compliance.

[0020] In another preferred embodiment of the present invention, in the credential reconstruction trigger module, the process of generating the historical transaction feature set is as follows: When the voucher reconstruction trigger module generates a historical transaction feature set, it first precisely extracts similar business event records for the transaction entity identifier from the transaction entity database over the last three accounting periods. Selecting data from the last three accounting periods ensures data timeliness while covering a sufficient business cycle to reflect the company's recent business model and financial characteristics. For these records, the business node coordinate sequence corresponding to the benchmark value stream model in the business and financial event trajectory model is extracted, and the distribution frequency of each business node coordinate is statistically analyzed within the financial turnover analysis dimension.

[0021] At the same time, for the same accounting period, the combination types and probability weights of accounting account marker groups are calculated. This process not only focuses on the frequency of use of individual accounts, but also on the combination relationships between accounts, exploring the financial logic behind business transactions. Ultimately, the business node distribution frequency and account combination probability are integrated into a multidimensional feature matrix. This matrix dynamically adjusts the weight of each dimension based on the accounting policy change indicators. For example, after the implementation of the new revenue standard, the weight of account combinations related to revenue recognition will be increased accordingly. This ensures that the feature set reflects the latest accounting rules and requirements, making subsequent voucher template matching more accurate.

[0022] In a preferred embodiment of the present invention, the process of selecting the historical voucher template with the highest similarity based on the historical transaction feature set in the voucher template fusion module is as follows: First, the multidimensional feature matrix is loaded into a dedicated template matching engine to generate a heat map that intuitively displays the distribution density of business nodes. This heat map visually presents the distribution frequency of business nodes in different regions. Darker colors indicate a higher frequency of business nodes in that region, providing intuitive data support for template matching.

[0023] This heat map is then compared to the node topology in the historical voucher template library for a multi-dimensional similarity calculation. This calculation considers both the weighting factor of the node position and the consistency coefficient of the account combination. Core business nodes, due to their importance to the business process, are given a higher weight and thus occupy a more prominent position in the similarity calculation. The account combination consistency coefficient measures the degree of similarity between the current business and the historical template in terms of the combination of accounting accounts used. The higher the proportion of identical account combinations, the greater the coefficient.

[0024] First, historical voucher templates with weight factors exceeding a preset ratio threshold are selected as candidate templates to ensure a high degree of match with the current business at key business nodes. Then, the template with the highest account combination consistency coefficient is selected from all candidate templates and input into the template fusion container to ensure that the selected template has the highest degree of compatibility with the current business scenario in terms of account usage and node distribution. This screening mechanism comprehensively considers the spatial distribution of business nodes and the logical relationship between account usage, effectively improving the accuracy of template matching and providing a reliable foundation for subsequent voucher generation.

[0025] In another preferred embodiment of the present invention, in the voucher template fusion module, the process of calibrating the value flow curvature radius of the voucher element segment connection point is as follows: First, obtain the real-time value curvature values for the endpoints of the document element segments to be connected. These curvature values intuitively reflect the changing trends in value during the flow process and are key indicators for determining the rationality of connecting different segments. Based on this, calculate the tax and accounting difference between the value curvature values of the two endpoints. This difference reflects the accounting deviation between accounting and tax treatments for the same business process. The tax and accounting discrepancies were then compared and analyzed against dynamic tolerance intervals. Dynamic tolerance intervals are set based on the materiality principle of accounting standards, with differentiated standards applied to different types of voucher element segments. Monetary fund voucher element segments directly relate to fund receipts and payments, requiring stable accounting accuracy, and therefore use a basic tolerance interval. Revenue recognition voucher element segments involve determining the timing of tax obligations, requiring higher compliance, and therefore use a high-level tolerance interval. When the amount of tax and accounting differences is within the corresponding tolerance range, it indicates that the difference is within an acceptable range, and directly connecting the voucher element fragments can ensure the consistency of accounting logic; if the amount of the difference exceeds the tolerance range, the tax adjustment transition segment will be automatically inserted, and the length of the transition segment will increase accordingly with the increase in the amount of tax and accounting differences. By refining the intermediate links, the value flow process is ensured to fully map the tax and accounting differences, avoiding accounting distortion caused by improper connection.

[0026] In another preferred embodiment of the present invention, the process of converting the accounting subject tag group of the transaction coordinate index into the subject code and debit / credit direction of the voucher entry and recording the value fluctuation range between business nodes as the verification factor is as follows: First, read the coordinates of the starting business node and use this as a basis to determine the starting position of the voucher entry to ensure that the accounting records accurately correspond to the starting point of the business process. Next, each business node is sequentially located along the baseline value stream model, and detailed transaction coordinate data for each node is extracted. This data includes multi-dimensional information such as the time of transaction, related parties, and amount attributes. Based on this data, the accounting subject tag group corresponding to the transaction coordinates is converted into voucher entry instructions in real time. The instructions not only include the general ledger account code, but also cover auxiliary accounting items and debit and credit directions, fully meeting the detailed accounting requirements.

[0027] At the same time, the value fluctuations between business nodes are converted into cross-checking verification factors, which record the magnitude and frequency of value changes in detail, providing a quantitative basis for subsequent account reconciliation. Finally, the voucher entry instructions and cross-checking verification factors are packaged together into an accounting voucher data package, which not only ensures the integrity of the accounting records but also realizes the dynamic connection between business traces and financial data through the verification factors.

[0028] In another preferred embodiment of the present invention, in the traceability output module, the process of generating the business and financial traceability identifier is as follows: First, the business node coordinate sequence is obtained according to the inherent order of the benchmark value stream model. These coordinate sequences fully record the key turning points in the business flow process and are the core basis for restoring the transaction trajectory. At the same time, the reorganization operation type and precise timestamp of the voucher element fragment are extracted from the template fusion container. The operation type reflects the specific method of template adjustment, and the timestamp accurately marks the execution time of each adjustment, providing a reference for the time dimension for tracing the modification process. In addition, based on the voucher generation module, the environmental snapshot of the financial system is captured in real time. In addition to the accounting period identifier, it also covers key environmental variables such as the currently effective accounting standard version, exchange rate parameters, and tax rate settings to ensure a complete record of the business processing background. During the data processing phase, the business node coordinate sequence maintains its original encoding format to maximize the integrity of the original transaction information. The reorganized operation type is input into the feature encoder and converted into a standardized digital operation feature code to facilitate subsequent rapid decoding and comparison. The financial system environment snapshot generates a unique environmental fingerprint through a lossless compression algorithm, which ensures information integrity while reducing storage usage and preventing data tampering through unique features. Finally, the processed business node coordinate sequence, operation feature code, and environmental fingerprint are input into the feature interleaving engine, which performs a triple data interleaving operation to generate an irreversible business and financial traceability identifier. This interleaving operation deeply integrates the three types of data, so that the identifier contains both the spatial information of the business trajectory and the temporal information and environmental parameters of the operation process, providing comprehensive data support for subsequent tracing.

[0029] In a preferred embodiment of this embodiment, in the traceability output module, the process of outputting to the financial shared center is: The Financial Shared Services Center first analyzes the financial traceability identifiers within the accounting voucher data packets, extracting the business node coordinate sequence, operation signature code, and environmental fingerprint. This business node coordinate sequence fully restores the original financial event trajectory model, clearly illustrating the entire value flow path from the start to the end of the business process. After decoding the operation signature code, the voucher template reconstruction simulator reproduces the historical operation instruction sequence, accurately displaying every detail of the template's adjustment during the integration process. After decompression, the environmental fingerprint is loaded into the financial virtual environment, fully restoring the system operation scenario at the time the voucher was generated, including key environmental factors such as policy parameters and accounting rules at the time. Ultimately, the original business and financial event trajectory model, historical operation sequences, and the financial virtual environment together form a three-dimensional verification chain. This chain transcends the traditional single-dimensional verification model and cross-validates financial data from three dimensions: business substance, operational process, and environmental context. It is specifically designed to perform account balance-level debit and credit balance verification. By comparing actual account balances with theoretical balances inferred from the three-dimensional scenario, it can accurately identify accounting deviations caused by missed business nodes, template adjustments, or incorrect environmental parameters, significantly improving the depth and accuracy of financial data verification.

[0030] In another preferred embodiment of the present invention, the dynamic optimization process of the historical voucher template library is achieved through continuous monitoring. Monitoring targets include the total number of business nodes and the subject dependency depth indicator for each template. The total number of business nodes reflects the complexity of the business covered by the template, while the subject dependency depth reflects the closeness of the template's connection with the accounting subject system. Simultaneously, the actual call frequency of each template is counted by accounting cycle, and a sliding window algorithm is used to calculate a moving average of the call frequency. This average can smooth short-term fluctuations and more objectively reflect the long-term usage trends of the template. When the moving average value of any template is continuously lower than the preset active threshold, it is marked as a template to be streamlined. For the template to be streamlined, the system further obtains the call frequency of all the voucher element fragments it contains, retains the fragments whose call frequency exceeds the set threshold, which usually corresponds to high-frequency business scenarios or core accounting links and has continuous reuse value; and removes the remaining low-frequency fragments to reduce redundant data. Finally, the minimum accounting cross-reference relationship is reconstructed for the retained voucher element fragments to form a streamlined template. This simplification not only ensures that the core functions of the template are not affected, but also reduces the storage pressure of the template library by eliminating invalid information, while improving the retrieval efficiency of subsequent template matching, so that the system maintains efficient processing capabilities during long-term operation.

[0031] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A financial shared center business and financial integration process automation processing system, characterized by: include: The business event receiving module is used to receive the business and financial event stream of the business system, including the business operation code, transaction entity identifier, and transaction track description; The business and financial trajectory parsing module is used to match the benchmark value stream model of the historical voucher template library based on business operation codes. The benchmark value stream model has a preset accounting subject tag group. It marks transaction direction turning points in the transaction trajectory description where the value flow deflection angle exceeds a preset threshold as business nodes. The business nodes divide the benchmark value stream model into several installment segments, and the accounting subject tag groups of the installment segments are activated to generate the business and financial event trajectory model. The voucher reconstruction trigger module is used to retrieve the historical transaction feature set of the transaction entity identifier when the accounting subject tag group mapping relationship of the business and financial event trajectory model conflicts with the rules of the historical voucher template library; The voucher template fusion module is used to select the historical voucher template with the highest similarity based on the historical transaction feature set, remove voucher element fragments with conflicting accounting subject tag groups in the template fusion container, calibrate the value flow curvature radius of the connection points of the voucher element fragments, and output the reconstructed voucher template; The voucher generation module is used to parse and reconstruct the starting business node coordinates of the voucher template, locate the business node transaction coordinates along the baseline value stream model, convert the accounting subject tag group indexed by the transaction coordinates into the account code and debit / credit direction of the voucher entry, and record the value fluctuation range between business nodes as the cross-checking verification factor; The traceability output module is used to integrate the business node coordinate sequence, template fusion container operation records, and voucher generation environment snapshots to generate business and financial traceability identification, and write the accounting voucher data package to output to the financial shared center.

2. The financial shared center business and financial integration process automation processing system according to claim 1 is characterized in that: In the business and financial trajectory analysis module, the construction process of the benchmark value stream model is as follows: Business operation codes are associated with standard transaction paths for typical business scenarios through a preset mapping table. This standard transaction path sets benchmark business nodes based on the average of historical transaction turning points. Accounting subject marker groups are pre-bound to the corresponding segments of the benchmark business nodes during the initial configuration phase. When a new transaction trajectory description is entered, the trajectory analysis module detects the coordinate deviation between the actual transaction turning point and the benchmark business node in real time. If the coordinate deviation exceeds the accounting materiality level threshold, a temporary business node is added. The temporary business node automatically activates the nearest accounting subject tag group and is bound to the tax accounting identifier.

3. The financial shared center business and financial integration process automation processing system according to claim 1 is characterized in that: In the voucher reconstruction trigger module, the generation process of the historical transaction feature set is as follows: Accurately retrieve similar business event records from the transaction entity database for the last three accounting periods of the transaction entity identifier. Extract the business node coordinate sequence of the benchmark value stream model in the business and financial event trajectory model corresponding to these events. Calculate the distribution frequency of each business node coordinate in the financial turnover analysis dimension. Count the combination types and probability weights of accounting subject mark groups for the same accounting period segment. Finally, the business node distribution frequency and subject combination probability are combined to form a multidimensional feature matrix. The multi-dimensional feature matrix is dynamically updated with weights according to the accounting policy change flag.

4. The financial shared center business and financial integration process automation processing system according to claim 3 is characterized in that: In the voucher template fusion module, the process of selecting the historical voucher template with the highest similarity based on the historical transaction feature set is as follows: The multi-dimensional feature matrix is loaded into a dedicated template matching engine to generate a business node distribution heat map. The heat map is then compared with the node topology structure in the historical voucher template library for multi-dimensional similarity calculation. The similarity calculation process comprehensively considers the node position weight factor and the subject combination consistency coefficient. The historical voucher templates whose weight factors exceed the preset ratio threshold are selected as candidate templates, and the template with the highest account combination consistency coefficient is selected from all candidate templates and input into the template fusion container.

5. The financial shared center business and financial integration process automation processing system according to claim 1 is characterized in that: In the voucher template fusion module, the process of calibrating the value flow curvature radius of the voucher element segment connection point is as follows: Obtain the real-time value curvature value of the endpoints of the voucher element segment to be connected, calculate the tax and accounting difference between the value curvature values of the two endpoints, and compare and analyze the tax and accounting difference with the dynamic tolerance interval; The dynamic tolerance interval is set according to the accounting standards. The basic tolerance interval is used for the elements of monetary funds vouchers, and the high-level tolerance interval is used for the elements of revenue recognition vouchers. When the tax and accounting difference is within the tolerance range, the segments are directly connected. If it exceeds the tolerance range, a tax adjustment transition segment is automatically inserted. The length of the transition segment is positively correlated with the tax and accounting difference.

6. The financial shared center business and financial integration process automation processing system according to claim 1 is characterized in that: The voucher generation module converts the accounting subject tag group of the transaction coordinate index into the subject code and debit / credit direction of the voucher entry, and records the value fluctuation range between business nodes as the verification factor. The process is as follows: First, the starting business node coordinates are read to determine the starting position of the voucher entry. Each business node is located sequentially along the direction of the baseline value stream model, and detailed transaction coordinate data of the business node is obtained. The accounting subject tag group corresponding to the transaction coordinates is converted in real time into a voucher entry instruction containing the general ledger account code, auxiliary accounting item, and debit / credit direction. At the same time, the value fluctuation range between business nodes is converted into cross-check verification factors to record change characteristics, and finally the voucher entry instructions and cross-check verification factors are packaged together into an accounting voucher data package.

7. The financial shared center business and financial integration process automation processing system according to claim 1 is characterized in that: In the traceability output module, the process of generating the business and financial traceability identifier is as follows: Acquire business node coordinate sequences according to the baseline value stream model; extract voucher element fragments from the template fusion container to reconstruct the operation type and precise timestamp; capture real-time snapshots of the financial system environment, including accounting period identifiers, based on the voucher generation module; The business node coordinate sequence maintains the original encoding format, the reorganized operation type is input into the feature encoder and converted into a digital operation feature code, and the financial system environment snapshot is compressed using a lossless algorithm to generate a unique environment fingerprint; The processed business node coordinate sequence, operation feature code and environmental fingerprint are input into the feature interleaving engine together, and a triple data interleaving operation is performed to generate an irreversible business and financial traceability identification.

8. The automated processing system for business-finance integration process of a financial shared center according to claim 7 is characterized in that: In the traceability output module, the process of outputting to the financial shared center is as follows: The Financial Shared Service Center parses the financial traceability identifier in the accounting voucher data package to separate the business node coordinate sequence, operation feature code and environmental fingerprint; The original business and financial event trajectory model is fully restored through the business node coordinate sequence; the operation feature code is decoded and the voucher template reconstruction simulator is driven to output the historical operation instruction sequence; the environmental fingerprint is decompressed and loaded into the financial virtual environment to restore the operation scenario; The original business and financial event trajectory model, the historical operation sequence and the financial virtual environment together form a three-dimensional verification chain, which is used to perform credit and debit balance verification at the account balance level.

9. The automated processing system for business-finance integration in a financial shared center according to claim 1, characterized in that: Continuously monitor the total number of business nodes and subject dependency depth indicators of each template in the historical voucher template library, count the actual call frequency of each template according to the accounting cycle, and use the sliding window algorithm to calculate the moving average of the call frequency of each template. When the moving average of any template is continuously lower than the preset active threshold, it is marked as a template to be streamlined. The call frequency of all voucher element fragments of the template to be streamlined is obtained, and the voucher element fragments in the template to be streamlined whose call frequency exceeds the set threshold are retained. The other voucher element fragments are removed, and the minimum accounting cross-reference relationship is rebuilt for the retained voucher element fragments to form a streamlined template.

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