A financial shared center industry and finance integration process automation processing system

Abstract

The application discloses a kind of financial shared center industry and finance integration process automation processing systems, belong to financial processing technical field, specifically include: business event receiving module receives the industry and finance event stream containing business operation code, transaction entity identification, transaction track description;Industry and finance track analysis module matches benchmark value flow model, based on business node segmentation benchmark value flow model, generates track model;Voucher reconstruction trigger module calls historical transaction feature set when mapping conflict;Voucher template fusion module filters historical template, removes conflict segment, calibrates curvature radius and outputs reconstruction template;Voucher generation module analyzes starting coordinates, converts subject code group into voucher entry, records value fluctuation as verification factor;Traceability output module fuses coordinate sequence, operation record, environment snapshot to generate traceability identification, and outputs to financial shared center;The application improves the accuracy, adaptability and traceability of financial shared center industry and finance integration process processing.

Description

Technical Field

[0001] This invention relates to the field of financial processing technology, and more specifically to an automated processing system for integrated business and financial processes in a financial shared service center. Background Technology

[0002] As enterprises deepen their digital transformation, the financial shared service center, as the core hub for business-finance integration, is becoming crucial for improving operational efficiency through its automated process capabilities. In this integrated business-finance scenario, the interaction between business and financial systems generates massive business and financial event flows, encompassing multi-dimensional transaction data such as procurement, sales, and fund receipts and payments. In large group enterprises, the complexity of cross-regional and multi-business operations leads to high frequency of business-finance data interaction and variable value flows, necessitating automated systems to achieve intelligent conversion of business events into financial vouchers and end-to-end traceability.

[0003] Existing integrated business and finance workflow automation systems typically rely on pre-defined rule engines to automatically generate vouchers by establishing a mapping relationship between business operations and accounting subjects. For example, some systems associate fixed voucher templates with business operation codes, use historical average data to set benchmark business nodes when segmenting and analyzing transaction trajectories, and trigger template matching logic when a transaction turning point is detected. These systems can achieve basic business and finance data flow, meet the automation needs of routine business scenarios, improve financial processing efficiency to a certain extent, and reduce manual intervention.

[0004] However, the fixed benchmark business nodes of the existing system are difficult to dynamically adapt to sudden changes in value flow. 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 the differences in account combination caused by factors such as changes in accounting policies, resulting in voucher entries errors and the inability to calibrate tax-accounting differences. Moreover, traceability only records simple logs and lacks a complete restoration of business scenarios and environmental parameters, making it difficult to verify the balance of account balances. Summary of the Invention

[0005] The purpose of this invention is to provide an automated processing system for the integrated business and finance processes of a financial shared service center, solving the following technical problems:

[0006] The existing system has several problems: fixed benchmark business nodes are difficult to dynamically adapt to sudden changes in value flow; template matching relies on a single feature and does not consider factors such as changes in accounting policies that lead to differences in account combinations; and traceability only records simple logs and lacks a complete reconstruction of business scenarios and environmental parameters.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] A financial shared service center integrated business and finance process automation system includes:

[0009] The business event receiving module is used to receive business and financial event streams from the business system, including business operation codes, transaction entity identifiers, and transaction trajectory descriptions.

[0010] The business and financial trajectory analysis module is used to match the benchmark value flow model of the historical voucher template library according to the business operation code. The benchmark value flow model has a pre-set accounting subject tag group. The transaction direction turning point in the value flow description where the deflection angle exceeds the preset threshold is marked as a business node. The business node divides the benchmark value flow model into several periodic segments. The accounting subject tag group of the periodic segment is activated to generate the business and financial event trajectory model.

[0011] The voucher reconstruction trigger module is used to retrieve the historical transaction feature set of the transaction entity identifier when the mapping relationship of the accounting subject tag group in the business and financial event trajectory model conflicts with the rules of the historical voucher template library.

[0012] The voucher template fusion module is used to filter the historical voucher templates 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 voucher element fragments, and output the reconstructed voucher template.

[0013] The voucher generation module is used to parse the starting business node coordinates of the reconstructed voucher template, locate the transaction coordinates of the business nodes sequentially along the benchmark value stream model, convert the accounting subject tag group indexed by the transaction coordinates into the subject code and debit / credit direction of the voucher entry, and record the value fluctuation range between business nodes as the reconciliation verification factor.

[0014] The traceability output module is used to integrate business node coordinate sequences, template fusion container operation records, and voucher generation environment snapshots to generate business and financial traceability identifiers, and write them into accounting voucher data packages for output to the financial shared service center.

[0015] As a further aspect of the present invention: in the business trajectory analysis module, the construction process of the benchmark value stream model is as follows:

[0016] Business operation codes are associated with standard transaction paths for typical business scenarios through a preset mapping table. The standard transaction path is set as a benchmark business node based on the average historical transaction turning point position. Accounting subject tag groups are pre-bound to the corresponding segments of the benchmark business node during the initial configuration phase.

[0017] 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. This temporary business node automatically activates the nearest accounting subject tag group and binds the tax accounting identifier.

[0018] As a further aspect of the present invention: in the voucher reconstruction triggering module, the process of generating the historical transaction feature set is as follows:

[0019] The transaction entity database is used to accurately retrieve records of similar business events for the three most recent accounting periods of the transaction entity identifier. The business node coordinate sequence of the benchmark value stream model in the business and financial event trajectory model corresponding to these events is extracted. The distribution frequency of each business node coordinate is calculated in the dimension of financial turnover analysis. The combination type of accounting item label group and its probability weight are statistically analyzed for the same accounting period segment.

[0020] Finally, the frequency of business node distribution and the probability of account combination are combined to form a multidimensional feature matrix, and the multidimensional feature matrix is ​​dynamically updated with weights according to the accounting policy change indicators.

[0021] As a further aspect 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:

[0022] The multidimensional feature matrix is ​​loaded into a dedicated template matching engine to generate a heat map of business node distribution. The heat map is then compared with the node topology in the historical voucher template library for multidimensional similarity calculation. The similarity calculation process takes into account the node position weight factor and the subject combination consistency coefficient.

[0023] Historical voucher templates with weight factors exceeding a preset ratio threshold are selected as candidate templates. Among all candidate templates, the template with the highest subject combination consistency coefficient is selected and input into the template fusion container.

[0024] As a further aspect of the present invention: in the voucher template fusion module, the process of calibrating the radius of curvature of the value flow of voucher element fragment connection points is as follows:

[0025] Obtain the real-time value curvature value of the endpoints of the voucher element fragments that need 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 range.

[0026] The dynamic tolerance range is set in stages according to accounting standards. A basic tolerance range is used for monetary funds voucher elements, while a higher-level tolerance range is used for revenue recognition voucher elements.

[0027] When the tax-accounting difference is within the tolerance range, the segment is 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-accounting difference.

[0028] As a further aspect 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 as follows:

[0029] First, the coordinates of the starting business node are read to determine the starting position of the voucher entry. Then, each business node is located sequentially along the direction of the benchmark value stream model. Detailed transaction coordinate data of the business node is obtained, and the accounting subject tag group corresponding to the transaction coordinates is converted into a voucher entry instruction containing general ledger account code, auxiliary accounting item, and debit / credit direction in real time.

[0030] Simultaneously, the value fluctuation range between business nodes is transformed into the reconciliation verification factor to record the change characteristics. Finally, the voucher entry instructions and the reconciliation verification factor are jointly encapsulated into an accounting voucher data package.

[0031] As a further aspect of the present invention: in the traceability output module, the generation process of the business and financial traceability identifier is as follows:

[0032] Obtain the business node coordinate sequence according to the benchmark value stream model; extract voucher element fragments from the template fusion container to reorganize the operation type and precise timestamp; capture a real-time snapshot of the financial system environment based on the voucher generation module, including the accounting period identifier;

[0033] The business node coordinate sequence maintains the original encoding format, the reorganization operation type is input into the feature encoder and converted into a digital operation feature code, and the financial system environment snapshot is generated into a unique environment fingerprint through a lossless compression algorithm.

[0034] The processed business node coordinate sequence, operation feature code, and environmental fingerprint are input into the feature interleaving engine to perform triple data interleaving operations to generate irreversible business and financial traceability identifiers.

[0035] As a further aspect of the present invention: the process of outputting to the financial shared service center in the traceability output module is as follows:

[0036] The financial shared service center analyzes the business and financial traceability identifiers in the accounting voucher data package to separate the business node coordinate sequence, operation feature code, and environmental fingerprint;

[0037] The original business and financial event trajectory model is completely restored by the business node coordinate sequence; after decoding the operation feature code, the simulator outputs the historical operation instruction sequence after reconstructing the voucher template; after decompressing the environment fingerprint, it is loaded into the financial virtual environment to restore the running scenario.

[0038] The original business and financial event trajectory model, historical operation sequence, and financial virtual environment are combined to form a three-dimensional verification chain, which is used to perform debit and credit balance verification at the account balance level.

[0039] As a further aspect of this invention: continuously monitor the total number of business nodes and the subject dependency depth of each template in the historical voucher template library, calculate the actual call frequency of each template according to the accounting cycle, use a 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, mark it as a template to be streamlined, obtain the call frequency of all voucher element fragments of the template to be streamlined, retain the voucher element fragments in the template to be streamlined whose call frequency exceeds the set threshold, remove other voucher element fragments, and reconstruct the minimum accounting reconciliation relationship of the retained voucher element fragments to form a streamlined template.

[0040] The beneficial effects of this invention are:

[0041] This invention utilizes a business and financial trajectory analysis module to match a benchmark value stream model with business operation codes. It marks transaction direction inflection points where the value stream deflection angle exceeds a threshold as business nodes and segments them into phases. This activates the corresponding accounting subject marking group to generate a business and financial event trajectory model. This solves the problem of fixed benchmark business nodes being difficult to adapt to sudden changes in value stream direction and avoids tax accounting deviations caused by ignoring temporary tax nodes in scenarios such as cross-border procurement. Furthermore, the invention uses a voucher reconstruction trigger module to retrieve historical transaction feature sets of transaction entity identifiers. Combined with a voucher template fusion module, it filters historical voucher templates with the highest similarity based on a multi-dimensional feature matrix and removes conflicting element fragments from the template fusion container. The segmentation and calibration of the value flow curvature radius solves the problems of template matching relying on a single feature and not considering changes in accounting policies, avoiding voucher entry errors and achieving accurate calibration of tax-accounting differences. By integrating business node coordinate sequences, template fusion operation records, and voucher generation environment snapshots through the traceability output module, a business and financial traceability identifier is generated, constructing a three-dimensional verification chain that includes the original trajectory model, historical operation sequences, and financial virtual environment. This solves the problem of traceability only recording simple logs, realizes the complete restoration of business scenarios and environmental parameters, and achieves account balance-level debit and credit balance verification, comprehensively improving the accuracy, adaptability, and traceability of the integrated business and financial process processing in the financial shared service center. Attached Figure Description

[0042] The invention will now be further described with reference to the accompanying drawings.

[0043] Figure 1 This is a schematic diagram of the modules of the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figure 1 As shown, this invention is an automated processing system for integrated business and finance processes in a financial shared service center, comprising:

[0046] The business event receiving module receives business and financial event streams from various business systems. These event streams contain three core types of information: business operation codes, transaction entity identifiers, and transaction trajectory descriptions. Among them, business operation codes are used to accurately identify the business type, transaction entity identifiers clearly identify the entities participating in the transaction, and transaction trajectory descriptions record in detail the path and steps of value transfer, providing raw data support for subsequent process processing.

[0047] The business and financial trajectory analysis module matches the corresponding baseline value stream model from the historical voucher template library based on the business operation code. This model is pre-configured with accounting subject tag groups corresponding to business processes. When processing transaction trajectory descriptions, the module identifies transaction direction turning points where the value stream deflection angle exceeds a preset threshold and marks these turning points as business nodes. After dividing the baseline value stream model into several periodic segments through business nodes, the module activates the accounting subject tag groups corresponding to each periodic segment, ultimately generating a complete business and financial event trajectory model.

[0048] 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 will automatically retrieve the historical transaction feature set corresponding to the transaction entity identifier. These feature sets cover the processing records and subject tag combination patterns of similar past businesses, providing a reference basis for voucher template reconstruction.

[0049] The voucher template fusion module filters out the historical voucher templates with the highest similarity based on the historical transaction feature set and imports them into the template fusion container. In the container, the module removes voucher element fragments that conflict with the current accounting subject tag group and calibrates the value flow curvature radius of the connection points of the remaining element fragments to ensure the continuity of value flow logic. Finally, it outputs a reconstructed voucher template adapted to the current business scenario.

[0050] The voucher generation module parses and reconstructs the starting business node coordinates of the voucher template, locates the transaction coordinates of each business node sequentially along the benchmark value stream model, converts the accounting subject tag groups indexed by these coordinates into the subject code and debit / credit direction in the voucher entries, and records the value fluctuation range between each business node as a reconciliation verification factor to provide data support for voucher verification.

[0051] The traceability output module integrates the business node coordinate sequence, the operation records 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 service center to provide a complete basis for subsequent auditing and traceability.

[0052] In a preferred embodiment of the present invention, the construction process of the benchmark value stream model in the business trajectory analysis module is as follows:

[0053] When constructing the baseline value stream model, the business operation code in the business trajectory analysis module establishes a connection between the business operation code and the standard transaction path of typical business scenarios through a pre-set mapping table. This pre-set mapping table, based on historical transaction data accumulation and business process analysis, covers various common business scenarios such as procurement, sales, and fund receipt and payment, ensuring that each business operation code can accurately match the corresponding standard transaction path. The standard transaction path sets baseline 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. Accounting subject tag groups are pre-bound to the corresponding segments of each baseline business node during the initial configuration phase, forming an account mapping framework that matches the business process, laying the foundation for subsequent automated processing.

[0054] When a new transaction trajectory description is input, the trajectory analysis module compares the coordinate deviation between the actual transaction turning point and the benchmark business node in real time. This coordinate deviation reflects the degree of deviation between the actual business execution and the standard path. If the deviation value exceeds the accounting materiality level threshold, it indicates that the turning point has special financial significance and needs to be handled separately. At this time, the system will automatically add a temporary business node. This temporary business node not only activates the nearest accounting subject tag group but also simultaneously binds the tax accounting identifier. This mechanism ensures that the tax attributes of special transaction links are accurately captured, avoiding omissions or errors in tax processing due to variations in business processes, and providing a guarantee for corporate tax compliance.

[0055] In another preferred embodiment of the present invention, the generation process of the historical transaction feature set in the voucher reconstruction triggering module is as follows:

[0056] When the voucher reconstruction trigger module generates a historical transaction feature set, it first precisely extracts records of similar business events for the transaction entity identifiers in the most recent three accounting periods from the transaction entity database. Selecting data from the most recent three accounting periods ensures both data timeliness and covers a sufficient business cycle to reflect the company's recent business model and financial characteristics. For these records, the business node coordinate sequence of the corresponding business and financial event trajectory model is extracted from the benchmark value stream model, and the distribution frequency of each business node coordinate is statistically analyzed in the financial turnover analysis dimension.

[0057] Simultaneously, for the same accounting period segment, the combination types of accounting item tag groups and their probability weights are calculated. This process not only focuses on the usage frequency of individual items but also emphasizes the combination relationships between items, uncovering the financial logic behind business transactions. Ultimately, the distribution frequency of business nodes and the probability of item combinations are integrated into a multi-dimensional feature matrix. This matrix dynamically adjusts the weighting of each dimension based on accounting policy change indicators. For example, when a new revenue standard is implemented, the weighting of item combinations related to revenue recognition will increase accordingly, ensuring that the feature set reflects the latest accounting rules and making subsequent voucher template matching more accurate.

[0058] In a preferred embodiment, the process of filtering the historical voucher templates with the highest similarity based on the historical transaction feature set in the voucher template fusion module is as follows:

[0059] First, the multidimensional feature matrix is ​​loaded into a dedicated template matching engine to generate a heatmap that intuitively displays the distribution density of business nodes. This heatmap presents the distribution frequency of business nodes in different regions in a visual way; the darker the color, the higher the frequency of business nodes appearing in that region, providing intuitive data support for template matching.

[0060] Subsequently, a multi-dimensional similarity calculation was performed between the heatmap and the node topology in the historical voucher template library. The calculation considered both the weighting factor of node positions and the consistency coefficient of account combinations. Core business nodes, due to their importance to the business process, were given higher weights and occupied a more significant position in the similarity calculation. The account combination consistency coefficient measures the similarity between the current business and historical templates in the use of accounting account combinations; the higher the proportion of identical account combinations, the larger the coefficient.

[0061] First, historical voucher templates with weighting factors exceeding a preset threshold are selected as candidate templates to ensure a high degree of matching between these templates and 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 the selected template has the highest adaptability to the current business scenario in terms of account usage and node distribution. This selection mechanism comprehensively considers the spatial distribution of business nodes and the logical relationship of account usage, effectively improving the accuracy of template matching and providing a reliable foundation for subsequent voucher generation.

[0062] In another preferred embodiment of the present invention, the process of calibrating the radius of curvature of the value flow of the connection points of the voucher element fragments in the voucher template fusion module is as follows:

[0063] First, obtain the real-time value curvature values ​​of the endpoints of the document element segments that need to be connected. These curvature values ​​intuitively reflect the changing trend of value during the circulation process and are a key indicator for judging the rationality of the connection between different segments. Based on this, calculate the tax-accounting difference between the value curvature values ​​of the two endpoints. This difference reflects the accounting deviation between accounting treatment and tax treatment in the same business process.

[0064] The tax-accounting difference was then compared and analyzed with the dynamic tolerance range. The dynamic tolerance range was set in stages according to the materiality principle of accounting standards, and differentiated standards were adopted for different types of voucher element fragments: cash and cash equivalents voucher element fragments are directly related to cash receipts and payments, and the accounting accuracy requirement is stable, so the basic tolerance range is adopted; revenue recognition voucher element fragments involve the determination of the timing of tax liability, and the compliance requirements are higher, so a higher-level tolerance range is adopted.

[0065] When the amount of tax-accounting difference is within the corresponding tolerance range, it indicates that the difference is within an acceptable range, and the accounting logic can be kept consistent by directly connecting the voucher element fragments; if the amount of difference exceeds the tolerance range, a tax adjustment transition segment is automatically inserted, and the length of the transition segment increases accordingly with the increase of the amount of tax-accounting difference. By refining the intermediate links, the value transfer process is ensured to fully map the tax-accounting difference, and accounting distortion caused by improper connection is avoided.

[0066] In another preferred embodiment of the present invention, the process by which 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, is as follows:

[0067] First, read the coordinates of the starting business node, and use this as a benchmark to determine the starting position of the voucher entry, ensuring that the accounting record corresponds accurately to the starting point of the business process.

[0068] Next, each business node is located sequentially 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 the transaction, related parties, and monetary attributes. Based on this, the accounting subject marker group corresponding to the transaction coordinates is converted into voucher entry instructions in real time. The instructions not only include general ledger account codes but also cover auxiliary accounting items and debit / credit directions, fully meeting the detailed requirements of accounting.

[0069] Simultaneously, the value fluctuation range between business nodes is transformed into reconciliation verification factors, recording in detail the magnitude, frequency, and other characteristics of value changes, providing a quantitative basis for subsequent accounting reconciliation. Finally, the voucher entry instructions and reconciliation verification factors are jointly packaged into an accounting voucher data package, ensuring the integrity of accounting records while achieving dynamic correlation between business trajectories and financial data through verification factors.

[0070] In another preferred embodiment of the present invention, the generation process of the business and financial traceability identifier in the traceability output module is as follows:

[0071] First, the coordinate sequences of business nodes are obtained according to the inherent order of the benchmark value stream model. These coordinate sequences completely record the key turning points in the business flow process and are the core basis for reconstructing the transaction trajectory. Simultaneously, the reorganization operation type and precise timestamp of voucher element fragments are extracted from the template fusion container. The operation type reflects the specific method of template adjustment, while the timestamp accurately marks the execution time of each adjustment, providing a time-dimensional reference for tracing the modification process. Furthermore, the voucher generation module captures real-time environmental snapshots of the financial system, which, in addition to accounting period identifiers, also cover key environmental variables such as the currently effective accounting standard version, exchange rate parameters, and tax rate settings, ensuring a complete record of the business processing background.

[0072] During the data processing phase, the business node coordinate sequence maintains its original encoding format to preserve the integrity of the original transaction information to the greatest extent possible. The recombined operation type is input into the feature encoder and converted into a standardized digital operation feature code, facilitating rapid decoding and comparison later. The financial system environment snapshot generates a unique environmental fingerprint through a lossless compression algorithm, ensuring information integrity while reducing storage usage and preventing data tampering through uniqueness. Finally, the processed business node coordinate sequence, operation feature code, and environmental fingerprint are jointly input into the feature interleaving engine, generating an irreversible business and financial traceability identifier through triple data interleaving operations. This interleaving operation deeply integrates the three types of data, ensuring that the identifier contains not only spatial information of the business trajectory but also temporal information and environmental parameters of the operation process, providing comprehensive data support for subsequent traceability.

[0073] In a preferred embodiment, the process of outputting to the financial shared service center in the traceability output module is as follows:

[0074] The financial shared service center first analyzes the business and financial traceability identifiers in the accounting voucher data package, separating the business node coordinate sequence, operation feature code, and environmental fingerprint. The business node coordinate sequence allows for the complete reconstruction of the original business and financial event trajectory model, clearly presenting the entire value flow path from start to finish. After decoding, the operation feature code drives the voucher template reconstruction simulator to reproduce historical operation instruction sequences, accurately displaying every adjustment detail of the template during the integration process. The environmental fingerprint, after decompression, is loaded into the financial virtual environment, completely restoring the system operation scenario at the time of voucher generation, including key environmental factors such as policy parameters and accounting rules at the time.

[0075] Ultimately, the original business and financial event trajectory model, historical operation sequences, and the virtual financial environment together constitute a three-dimensional verification chain. This verification chain breaks through the traditional single-dimensional verification model, cross-validating financial data from three dimensions: business substance, operational process, and environmental background. It is specifically used to perform debit and credit balance verification at the account balance level. By comparing the actually generated account balances with the theoretical balances derived from the three-dimensional scenario, accounting deviations caused by omissions in business nodes, template adjustment errors, or incorrect environmental parameters can be accurately identified, significantly improving the depth and accuracy of financial data verification.

[0076] In another preferred embodiment of the present invention, the dynamic optimization process of the historical voucher template library is achieved through continuous monitoring. The monitoring objects include the total number of business nodes and the subject dependency depth indicators for each template. The total number of business nodes reflects the business complexity covered by the template, while the subject dependency depth reflects the closeness of the association between the template and the accounting subject system. Simultaneously, the actual call frequency of each template is statistically analyzed according to the accounting cycle, and a moving average of the call frequency is calculated using a sliding window algorithm. This average can smooth out short-term fluctuations and more objectively reflect the long-term usage trend of the templates.

[0077] When the moving average of any template continuously falls below a preset active threshold, it is marked as a template to be streamlined. For templates to be streamlined, the system further obtains the call frequency of all voucher element fragments contained within them, retaining fragments whose call frequency exceeds a set threshold. These fragments typically correspond to high-frequency business scenarios or core accounting processes and have continuous reuse value; while the remaining low-frequency fragments are removed to reduce redundant data. Finally, the minimum accounting reconciliation relationship is reconstructed for the retained voucher element fragments to form a streamlined template. This streamlining ensures that the core functionality of the template is not affected, reduces the storage pressure on the template library by eliminating invalid information, and improves the retrieval efficiency of subsequent template matching, enabling the system to maintain high processing efficiency in long-term operation.

[0078] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A financial shared service center integrated business and finance process automation system, characterized in that, include: The business event receiving module is used to receive business and financial event streams from the business system, including business operation codes, transaction entity identifiers, and transaction trajectory descriptions. The business and financial trajectory analysis module is used to match the benchmark value flow model of the historical voucher template library according to the business operation code. The benchmark value flow model has a pre-set accounting subject tag group. The transaction direction turning point in the value flow description where the deflection angle exceeds the preset threshold is marked as a business node. The business node divides the benchmark value flow model into several periodic segments. The accounting subject tag group of the periodic segment is 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 mapping relationship of the accounting subject tag group in 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 filter the historical voucher templates 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 voucher element fragments, and output the reconstructed voucher template. The voucher generation module is used to parse the starting business node coordinates of the reconstructed voucher template, locate the transaction coordinates of the business nodes sequentially along the benchmark value stream model, convert the accounting subject tag group indexed by the transaction coordinates into the subject code and debit / credit direction of the voucher entry, and record the value fluctuation range between business nodes as the reconciliation verification factor. The traceability output module is used to integrate business node coordinate sequences, template fusion container operation records, and voucher generation environment snapshots to generate business and financial traceability identifiers, and write them into accounting voucher data packages for output to the financial shared service center; 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. The standard transaction path is set as a benchmark business node based on the average historical transaction turning point position. Accounting subject tag groups are pre-bound to the corresponding segments of the benchmark business node during the initial configuration phase. When a new transaction trajectory description is entered, the trajectory parsing 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. This temporary business node automatically activates the nearest accounting subject tag group and binds the tax accounting identifier. In the certificate reconstruction triggering module, the process of generating the historical transaction feature set is as follows: The transaction entity database is used to accurately retrieve records of similar business events for the three most recent accounting periods of the transaction entity identifier. The business node coordinate sequence of the benchmark value stream model in the business and financial event trajectory model corresponding to these events is extracted. The distribution frequency of each business node coordinate is calculated in the dimension of financial turnover analysis. The combination type of accounting item label group and its probability weight are statistically analyzed for the same accounting period segment. Finally, the frequency of business node distribution and the probability of account combination are combined to form a multi-dimensional feature matrix, and the multi-dimensional feature matrix is ​​dynamically updated with weights according to the accounting policy change indicators; In the voucher template fusion module, the process of calibrating the radius of curvature of the value flow of voucher element fragment connection points is as follows: Obtain the real-time value curvature value of the endpoints of the voucher element fragments that need 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 range. The dynamic tolerance range is set in stages according to accounting standards. A basic tolerance range is used for monetary funds voucher elements, while a higher-level tolerance range is used for revenue recognition voucher elements. When the tax-accounting difference is within the tolerance range, the segment is 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-accounting difference.

2. The automated processing system for integrated business and finance workflows in a financial shared service center according to claim 1, 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 multidimensional feature matrix is ​​loaded into the template matching engine to generate a heat map of business node distribution. The heat map is compared with the node topology in the historical voucher template library for multidimensional similarity calculation. The similarity calculation process takes into account the node position weight factor and the subject combination consistency coefficient. Historical voucher templates with weight factors exceeding a preset ratio threshold are selected as candidate templates. Among all candidate templates, the template with the highest subject combination consistency coefficient is selected and input into the template fusion container.

3. The automated processing system for integrated business and finance processes in a financial shared service center according to claim 1, 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 a verification factor as follows: First, the coordinates of the starting business node are read to determine the starting position of the voucher entry. Then, each business node is located sequentially along the direction of the benchmark value stream model. Detailed transaction coordinate data of the business node is obtained, and the accounting subject tag group corresponding to the transaction coordinates is converted into a voucher entry instruction containing general ledger account code, auxiliary accounting item, and debit / credit direction in real time. Simultaneously, the value fluctuation range between business nodes is transformed into the reconciliation verification factor to record the change characteristics. Finally, the voucher entry instructions and the reconciliation verification factor are jointly encapsulated into an accounting voucher data package.

4. The automated processing system for integrated business and finance processes in a financial shared service center according to claim 1, characterized in that, In the traceability output module, the generation process of the business and financial traceability identifier is as follows: Obtain the business node coordinate sequence according to the benchmark value stream model; extract voucher element fragments from the template fusion container to reorganize the operation type and precise timestamp; capture a real-time snapshot of the financial system environment based on the voucher generation module, including the accounting period identifier; The business node coordinate sequence maintains the original encoding format, the reorganization operation type is input into the feature encoder and converted into a digital operation feature code, and the financial system environment snapshot is generated into a unique environment fingerprint through a lossless compression algorithm. The processed business node coordinate sequence, operation feature code, and environmental fingerprint are input into the feature interleaving engine to perform triple data interleaving operations to generate irreversible business and financial traceability identifiers.

5. The financial shared service center integrated business and finance process automation system according to claim 4, characterized in that, The process of outputting to the financial shared service center in the traceability output module is as follows: The financial shared service center analyzes the business and financial traceability identifiers 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 completely restored by the business node coordinate sequence; after decoding the operation feature code, the simulator outputs the historical operation instruction sequence after reconstructing the voucher template; after decompressing the environment fingerprint, it is loaded into the financial virtual environment to restore the running scenario. The original business and financial event trajectory model, historical operation sequence, and financial virtual environment are combined to form a three-dimensional verification chain, which is used to perform debit and credit balance verification at the account balance level.

6. The automated processing system for integrated business and finance workflows in a financial shared service center according to claim 1, characterized in that, Continuously monitor the total number of business nodes and the depth of account dependency for each template in the historical voucher template library. Calculate the actual call frequency of each template according to the accounting cycle. Use a 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. Obtain the call frequency of all voucher element fragments in the template to be streamlined. Keep the voucher element fragments in the template to be streamlined whose call frequency exceeds the set threshold. Remove other voucher element fragments. Reconstruct the minimum accounting reconciliation relationship for the retained voucher element fragments to form a streamlined template.

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