Data interaction method and system of ERP system

Abstract

The application relates to the technical field of enterprise resource planning data processing, and discloses a data interaction method and system of an ERP system, which comprises the following steps: setting a state anchor point of a mapping financial authority in a source end, defining a non-anchor point process as a silent interval; establishing a synchronized accounting benchmark; freezing a declaration permission in the silent interval; when the state is switched to the anchor point, calculating an effective net value increment based on a profit and loss comparison between a current value and the accounting benchmark, and generating a financial voucher instruction and sending the financial voucher instruction to a target end; through administrative state constraints and differential accounting logic, the application realizes logical filtering of process noise in a non-effective management cycle, and ensures accounting compliance and final consistency of financial data circulation between heterogeneous systems.

Description

Technical Field

[0001] This invention relates to a data interaction method and system for an ERP system, belonging to the field of enterprise resource planning data processing technology. Background Technology

[0002] In current distributed heterogeneous enterprise resource planning (ERP) system architectures, cross-module or cross-system data interaction typically relies on physical data storage event-driven synchronization mechanisms. Existing technologies often employ database triggers or log capture tools to monitor write or update operations in the source database and push data changes to the target system. However, this approach, based on physical storage actions rather than management logic state interaction, has limitations when handling long-cycle, multi-state iterative business data. Source documents often require multiple edits, temporary storage, or rollbacks before finally taking effect, and frequent physical changes do not equate to business-level confirmation of rights. To improve data processing capabilities, existing technologies attempt to address this from the perspective of operational status monitoring. Optimization, for example, Chinese invention patent CN116861364B discloses a data processing method and system based on an ERP system. This solution analyzes the system operation logs and data interaction between modules, identifies network intrusion and abnormal system-level risks, and assesses the overall health status of the ERP system. However, such technologies focus on anomaly detection and security assessment at the system operation and maintenance level. The core logic is to judge abnormal data interaction or attacks. For intermediate data that is compliant at the business level but has not yet had financial validity, such as frequently revised, temporarily stored, or repeatedly modified before approval during the document preparation stage, it is usually still regarded as a normal business operation record and processed in full.

[0003] Therefore, how to construct a lightweight data interaction mechanism that identifies the status of business rights confirmation, shields process noise at the source, and achieves accurate alignment of logical values ​​between heterogeneous systems has become the technical problem to be solved by the invention. Summary of the Invention

[0004] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: A data interaction method for an ERP system, comprising the following steps:

[0005] In the business rule configuration layer of the ERP system, a set of status anchor points is defined. The set of status anchor points is mapped to the specific confirmation status of business documents that have financial accounting effect or administrative approval effect, and the flow process between two adjacent status anchor points is defined as a non-effective management cycle.

[0006] Establish a synchronized accounting benchmark that uniquely corresponds to the business document, which is used to record the business volume value when the document was last aligned across systems at the status anchor point;

[0007] Real-time monitoring of the business rights status and changes in business volume of business documents. When the business rights status indicates that the document is in a non-effective management cycle, the application permissions for the target system are frozen at the business management level and only draft-level records are maintained locally to prevent unauthorized data from interfering with the financial accounts of the target system.

[0008] When the business rights confirmation status of a business document is identified to switch to any status in the set of status anchors, the freeze on the application permission is lifted and the differentiated accounting logic is executed.

[0009] The differentiated accounting logic executes the following rules: obtain the current business volume value of the business document, compare it with the synchronized accounting benchmark for profit and loss, and calculate the effective net value increment that has the effect of being recorded.

[0010] The system generates a financial voucher instruction containing the effective net value increment and sends it to the target system. After receiving confirmation feedback, it updates the synchronized accounting benchmark using the current business volume value as the prerequisite for the next accounting comparison.

[0011] Preferably, the steps for executing differentiated accounting logic further include: monitoring the business ownership status of business documents; when it is detected that the business ownership status has regressed from the status anchor point to a non-effective management period, it is identified as an administrative revocation event and a red-ink reconciliation operation is triggered; the red-ink reconciliation operation includes: treating the logical value of the current business volume of the business document as zero according to financial audit rules, calculating the difference between zero and the synchronized accounting benchmark to generate a negative effective net value increment; encapsulating the negative effective net value increment as a red-ink reversal voucher and sending it to the target system, and resetting the synchronized accounting benchmark to zero to maintain the consistency of the accounts of both parties.

[0012] Preferably, the synchronized accounting benchmark is associated with an accounting period attribute; the differentiated accounting logic also includes a cross-period compliance verification step: obtain the current accounting period to which the business document belongs, and compare it with the accounting period already carried forward in the synchronized accounting benchmark; if the accounting period to which the business document belongs is inconsistent with the accounting period already carried forward, it is determined to be a cross-period adjustment item, and a composite adjustment instruction containing a first voucher and a second voucher is generated; the first voucher generates a red-ink reversal record for the accounting period already carried forward based on the synchronized accounting benchmark, and the second voucher generates a blue-ink entry record for the accounting period to which the business document belongs based on the current business volume value; send the composite adjustment instruction, and update the accounting period attribute using the accounting period to which the business document belongs.

[0013] Preferably, the synchronized accounting benchmark is associated with an auxiliary accounting dimension fingerprint, which is generated based on a combination of pre-set cost aggregation attribute fields in the business document. The differentiated accounting logic also includes a dimension reclassification step: generating the current accounting dimension fingerprint based on the current cost aggregation attribute fields of the business document, and comparing it with the historical dimension fingerprint in the synchronized accounting benchmark; if the current accounting dimension fingerprint is inconsistent with the historical dimension fingerprint, it is determined to be a cost attribution transfer event, and a debit / credit adjustment instruction is generated; the debit / credit adjustment instruction includes: a transfer-out record generated based on the synchronized accounting benchmark for the original cost attribution object, and a transfer-in record generated based on the current business volume value for the new cost attribution object; the debit / credit adjustment instruction is sent, and the auxiliary accounting dimension fingerprint is updated using the current accounting dimension fingerprint.

[0014] Preferably, the financial voucher instruction carries a consistency contract parameter, which is the value of the synchronized accounting benchmark recorded at the source end. The steps of sending it to the target system specifically include: instructing the target system to compare the opening balance of the document in the target system with the consistency contract parameter according to the audit rules before executing the voucher posting; if the comparison results are inconsistent, receiving the opening balance reconciliation statement returned by the target system; automatically correcting the synchronized accounting benchmark at the source end according to the opening balance reconciliation statement, and re-executing the differential accounting logic based on the corrected benchmark.

[0015] Preferably, the set of status anchor points is specifically configured as the financial review approval node, the inventory quality inspection qualification node, and the tax declaration completion node; the non-effective management cycle is specifically configured as the document preparation stage, the approval process stage, and the rejection revision stage; the step of freezing the declaration authority of the target system is intended to prevent non-final financial data in the preparation or revision process from being mistakenly included in the formal accounting statements of the target system through the constraint of administrative status; the generation of effective net value increment strictly follows the accrual basis principle, only reflecting the change in financial liability caused by the change in administrative confirmation status, and does not include any process modification records of business documents generated during the non-effective management cycle; after receiving the instruction, the target system only adjusts the account balance based on the effective net value increment, and does not perform full data overwrite.

[0016] Preferably, the cost aggregation attribute fields include department accounting code, project accounting code, supplier code, and tax classification code; the steps to generate the fingerprint of the current accounting dimension include: extracting the business code of each attribute field and combining it into a unique accounting feature code according to the preset financial coding rules.

[0017] Preferably, the steps for correcting the synchronized accounting baseline at the source end include: aligning the synchronized accounting baseline to the opening balance fed back by the target system to eliminate distributed accounting discrepancies caused by unilateral system failures; and generating a system-level audit trail log to record the adjustment amount and time of this automatic reconciliation.

[0018] Preferably, in the differentiated accounting logic, the effective net asset value increment... The calculation follows the following quantitative accounting rules: ,in, This represents the current transaction volume value of the business document when the status anchor point is triggered. The values ​​are stored in the synchronized accounting benchmark; when When the value is zero, the system determines that no substantial financial change has occurred, and only sends an administrative status synchronization signal to the target system without generating financial vouchers.

[0019] A data interaction system for an ERP system, comprising:

[0020] The rule configuration module is used to define a set of status anchor points in the business rule configuration layer of the ERP system, map the set of status anchor points to the specific confirmation status of business documents that have financial accounting effect or administrative approval effect, and define the flow process between two adjacent status anchor points as a non-effective management cycle.

[0021] The baseline maintenance module is used to establish a synchronized accounting baseline that uniquely corresponds to the business document, in order to record the business volume value when the document was last aligned across systems at the status anchor point;

[0022] The status control module is used to monitor the business rights status and business volume value changes of business documents in real time. When the business rights status indicates that the document is in a non-effective management cycle, the application permission for the target system is frozen. When the business rights status is detected to switch to any status in the status anchor set, the application permission is unfrozen and the accounting logic is triggered.

[0023] The differential accounting module is used to obtain the current business volume value of the business document, compare it with the synchronized accounting benchmark for profit and loss, and calculate the effective net value increment that has the effect of being recorded.

[0024] The voucher circulation module is used to generate financial voucher instructions containing effective net value increments and send them to the target system. After receiving confirmation feedback, it updates the synchronized accounting benchmark using the current business volume value.

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] 1. In the data interaction of the ERP system, a state anchor point-based discretized interaction gating mechanism is constructed to limit the data interaction triggering conditions to key state nodes. The interaction channel is locked within the silent interval between adjacent state anchor points. A strategy of prioritizing logical state rights confirmation over physical data changes is adopted. The mechanism automatically intercepts intermediate data fluctuations in the editing, temporary storage, modification, or ineffective stages from the source end. The local integration of high-frequency repeated physical modification operations by users at the source end is converged into a one-time net value output. By filtering out process noise data, the network communication bandwidth occupation between distributed heterogeneous systems is reduced, the concurrent computing load and storage pressure of the target system in processing redundant data are minimized, and the overall data throughput efficiency of the system is improved.

[0027] 2. Establish a reverse rollback mechanism based on zeroing input variables. When the status of a business document is detected to have rolled back from the anchor point to a non-anchor point, there is no need to call the delete interface or develop an independent undo function module. The forward interaction differential calculation formula is reused to set the current business value logic to zero and calculate it with the synchronized water level value. The precise negative reversal instruction is automatically generated. The reuse of core algorithm logic enables the system to handle forward flow and reverse reversal business scenarios under a unified calculation framework. Without increasing the complexity of system code and the number of interfaces, the system can automatically zero out and offset the timing logic of the target data, ensuring the integrity of the data audit trajectory.

[0028] 3. Establish a closed-loop interaction protocol carrying pre-contract conditions. Encapsulate the synchronized water level value recorded by the source end into a verification key in the interaction instruction packet. Before the target system performs a write operation, it compares the local actual balance with the contract conditions. When a unilateral system data rollback, fault recovery, or network packet loss is detected, causing state drift, the target end feeds back the real balance data, automatically corrects the source end synchronized water level mark, and recalculates the differential increment based on the corrected benchmark. The application layer optimistic locking and state correction logic enhance the self-healing capability of the data interaction system in a distributed environment, eliminates the cumulative error of single-point failure data, and maintains the eventual consistency of data between heterogeneous systems without manual intervention. Attached Figure Description

[0029] Figure 1 This is a flowchart of the differential accounting interaction process for state anchor point control in this invention;

[0030] Figure 2 This is a comparison chart of the data consistency self-healing convergence trend under fault scenarios of the present invention;

[0031] Figure 3 The diagram shows the system architecture and interaction use cases for this invention, which integrates self-healing and red-charge mechanisms. Detailed Implementation

[0032] The following detailed description of the technical solution claimed by the present invention, in conjunction with preferred embodiments thereof, is not restrictive. It should be understood that the following specific embodiments are only used to explain the technical essence of the present invention and are not intended to limit the scope of protection of the present invention.

[0033] This invention provides a data interaction method and system for an ERP system, logically divided into four core execution units: a rule configuration unit, a status control unit, a differential accounting unit, and a voucher circulation unit. These units are implemented through a set of logical instructions residing in the memory space of the source application server and interact with the underlying relational database to access business documents and status markers. To address the financial noise problem caused by frequent process data transmission between heterogeneous systems, this system first performs the initial configuration of status anchors. In the business rule configuration table of the source ERP system, a status mapping matrix is ​​established. This matrix divides all discrete status codes in the lifecycle of business documents into two categories: a status anchor set, which selects key node status codes with legal effect or financial finality. In specific configuration, financial approval, inventory quality inspection qualification, and tax declaration completion are defined as status anchors. These statuses signify the formal transfer of business responsibility or the establishment of financial obligations. During non-effective management periods, all intermediate statuses other than the above status anchors, including document preparation, approval process, rejection pending revision, and temporary draft, are uniformly defined as silent intervals. The system performs real-time status control based on the above configuration. When the current status code of a business document is within a non-effective management period, the system freezes the document's application permissions for the target system at the business management interface layer. During this period, regardless of the frequency or magnitude of physical modifications to the document's business volume value, the system only performs update operations in the local database, blocking the transmission of any data packets to the target system.

[0034] To enable incremental differential calculation, the system extends the data structure of business documents with a dedicated system-level field named "Synchronized Calculation Baseline" (…). This field is used to persistently store the business volume value when the document was last successfully triggered in the status anchor interaction and confirmed by the target system. Initial state definition procedure: For newly created business documents, its... The initial value is set to zero by default. For existing documents, during the system's initialization phase, the current balance of the document in the target system is read and written back to it. The system monitors document status change events in real time through database triggers or application-layer interceptors. When a document status is detected to switch from an inactive management cycle to any status in the status anchor set, the system lifts the application freeze and performs differentiated accounting according to the following deterministic procedure: Quantity Value Acquisition: The system reads the current business quantity value of the document and records it as... Profit and loss comparison: The system calls the differential accounting unit and executes the formula. ,in Indicates the effective net asset value increment. This indicates the current transaction volume value of the document. This indicates that the benchmark has been calculated synchronously, and if the calculation result... If the result is zero, the system determines that although there has been an administrative status change, there has been no substantial financial change. It only generates a status synchronization command and sends it to the target end, without generating financial vouchers. Non-zero, the system generates a value containing this. Financial document instruction for value, benchmark update: After receiving a successful processing confirmation message from the target system, the system performs an atomic update operation, which will... Updated to This completes the closed loop of this interaction.

[0035] In addition, for common anti-review or abandonment operations in business practice, the system automatically reverses red flags by reusing the differential algorithm, without the need to develop a dedicated revocation interface. The process judgment quantification procedure is as follows: When the system monitors that the document status has rolled back from the status anchor set to a non-effective management period, the system recognizes this behavior as an administrative revocation event and performs the following operations: Logical zeroing: When calculating the differential, the system ignores the current value of the document physically stored in the database, but sets it to zero in the memory operation logic. Assigning a value of zero generates a negative pulse: Execute the standard difference formula. ,at this time It must be a negative value, i.e., the amount in red, and its absolute value is exactly equal to the total valid amount previously transmitted to the target system for this document. Baseline reset: This will include the negative amount... The voucher instruction is sent to the target system. After the target system records the transaction, the balance of the voucher in the financial accounts is zeroed. After receiving confirmation, the source end will then process the local data. Reset to zero; to comply with the accrual basis and accounting period principles in accounting standards, the synchronized accounting benchmark field structure is associated with the attribute of the accounting period already carried forward. When the interaction is triggered, the system obtains the current accounting period to which the document belongs ( And perform the following inter-period compliance checks: Period comparison: and Composite adjustment instruction generation: If the two are inconsistent, the system prohibits directly sending the difference, but instead constructs a composite voucher containing two details: First voucher: for During this period, a red-ink reversal record was generated, with an amount of This voucher is used to reverse old accounts; the second voucher: for During this period, a blue entry record was generated, with the amount being... This voucher is used to create a new account; attribute update: after the interaction is complete, the system will... Updated to .

[0036] To address the pseudo-silence issue caused by changes in cost attribution dimensions despite unchanged numerical values, the system introduces a dimensional fingerprint mechanism: Fingerprint generation algorithm: The system pre-sets a set of sensitive attributes, including department accounting codes, project accounting codes, supplier codes, and tax classification codes, which are then used in each update. At the same time, the system synchronously extracts the business codes of the above fields, concatenates them into a string in a predetermined order, and uses the SHA-256 algorithm to calculate and generate a unique historical dimension fingerprint. ); Tear operation process: When subsequent interactions are triggered, the system recalculates the fingerprint of the current accounting dimension based on the current document attributes ( The system performs a double comparison: even if If it is zero, The system determines this to be a cost attribution transfer event and performs a debit / credit adjustment: based on Based on the old dimension attributes, generate a reverse transfer record, based on Including new dimension attributes, a positive transfer record is generated. This process ensures the accuracy of multi-dimensional financial accounting and requires no manual intervention. To eliminate the risk of data drift in a distributed environment, the system adopts a consistency contract mechanism based on optimistic locking. In each generated financial voucher instruction, the system will include the source record... The numerical value is encapsulated as a consistent contract parameter. After the instruction is sent to the target system, the target system first reads the opening balance of the document in the target account before executing the posting. ), and compare them, if If the verification passes, proceed with the accounting entry; if The verification failed, the target system rejected the payment, and returned a response containing... The initial balance reconciliation statement of the actual value; after the source system receives the reconciliation statement, it triggers self-healing logic: the local... Revised to The system records a system-level audit log, and then recalculates based on the corrected baseline. It then initiates another interaction to ensure that the system can automatically recover from unilateral data failures and maintain final consistency between heterogeneous systems.

[0037] Example 1: In a large enterprise resource planning (ERP) data processing environment involving high-frequency supply chain procurement, the technical solution of this invention is applied to solve the problem of financial data consistency and redundancy processing caused by frequent revisions of business documents between heterogeneous systems. In this application scenario, procurement personnel need to adjust key information multiple times for a purchase order numbered PO-2024-X, including increases or decreases in purchase quantity and corrections in unit price. The financial accounting system needs to generate accounts payable vouchers based on the final confirmation status of the order. At the business rule configuration layer, a status mapping procedure is executed for this type of purchase order to encode the purchase order. Intermediate processes such as order processing, supplier inquiries, and internal approvals are defined as non-effective management cycles. Financial approval, a legally binding status node for fund payment, is configured as the sole trigger condition in the status anchor set. If, within a non-effective management cycle, a business user modifies the order quantity from an initial 1000 units to 1200 units, and then subsequently to 1150 units, despite three changes to the underlying physical data in the database, the status control unit detects that the current status code does not match the status anchor and maintains the freeze on the reporting permissions for the target financial system. During this period, the accounting benchmark has been synchronized. By maintaining the initial value of zero, the target system does not receive any intermediate data packets, thus protecting the financial database from the interference of invalid process data being written.

[0038] When the purchase order completes its internal processing and is confirmed as approved by financial personnel, the system recognizes the positive transition event to the anchor point, releases the application freeze, triggers the differential accounting unit, and reads the currently confirmed business volume value of the document. That is, the amount corresponding to 1150 units, based on the formula. Perform the calculation, since at this time If the value is zero, the system calculates the effective net asset value increment. The system calculates the full positive value corresponding to 1150 units and generates a financial voucher instruction accordingly, which is then sent to the target system. Upon receiving confirmation of the entry from the target system, the system will... The amount was updated to correspond to 1150 units, completing the initial financial confirmation and synchronization. This process demonstrates that only business changes that have undergone administrative confirmation can be transformed into effective financial increments, thereby resolving the contradiction between business process volatility and financial accounting certainty within a single architecture. In subsequent business execution, the order was abandoned by authorized management personnel due to changes in quality terms. Its status code was rolled back from financial approval to the non-effective management cycle of purchase order preparation. The system monitored this reverse status migration in real time, automatically identifying it as an administrative revocation event and triggering the red-ink reconciliation logic. During this process, the system did not directly call the delete interface but instead initiated a process judgment and quantification procedure, performing the calculation in memory. Assign a value of zero, and based on The amount corresponding to the 1150 units stored in the middle is used to perform differential calculation. This calculation directly generates a negative pulse, i.e., a red-ink reversal voucher, whose value is exactly equal to the original confirmed amount. After receiving the instruction, the target system executes a credit reversal, making the balance of the document in the financial accounts return to zero. This mechanism redefines the complex business rollback operation as a standard differential calculation process by manipulating the logical value of the input variable instead of developing an independent reversal interface, ensuring the consistency of the business reversal operation in the financial accounts and avoiding the risk of data residue caused by unilateral state rollback.

[0039] Example 2: To objectively verify the technical effectiveness and engineering stability of the ERP system data interaction method proposed in this invention in a real and complex industrial environment, especially its performance under extreme conditions such as high concurrency load, unstable network links, and abnormal rollback of the source system, this example constructs a distributed simulation test platform based on a heterogeneous architecture. The test platform consists of a source-end supply chain management system (based on Java microservice architecture) and a target-end financial accounting system (based on SAP kernel) deployed on a high-performance server cluster. The two are connected through a wide area network simulation environment. To reproduce the complexity of the real engineering site, a network impairment simulator is connected to the platform to inject random packet loss and jitter, and a traffic generator capable of replaying historical de-identified business traffic is configured. In terms of test parameter settings, for the key parameter of timeout threshold for consistency contract verification, following the distribution law of round-trip time (RTT) in communication principles, it is set to 3 times the average network RTT and the sum of the average database transaction processing time, which is calibrated to 1.5 seconds in this test environment to achieve a balance between ensuring the sensitivity of anomaly detection and avoiding false alarms.

[0040] Three parallel control groups were designed for rigorous performance evaluation. Control group A adopted a traditional full-data synchronization strategy, where every physical save of the source document triggered a full data push. Control group B adopted a simple incremental synchronization strategy, which only calculated the difference in numerical changes before pushing data, but lacked the constraint of state anchor points. The sample group of this invention fully deployed state anchor point filtering, differential pulse calculation, and consistency contract verification mechanisms. The experiment first simulated a high-concurrency business scenario lasting for 1 hour, during which 100,000 purchase order transactions were injected. Each document underwent an average of 4.2 physical modifications, including quantity or unit price adjustments, within the non-effective management cycle. During the experiment, the network impairment simulator was configured to introduce a 2% random packet loss rate and 50ms random jitter to simulate a real unstable network environment (see Table 1).

[0041] Table 1: Comparative data of measured data interaction performance under high concurrency and network disturbance conditions.

[0042]

[0043] Data shows that, under the same original business input, control group A and control group B sent massive amounts of intermediate state data to the target end, resulting in hundreds of thousands of invalid vouchers accumulating in the target end database. Furthermore, due to network packet loss, some intermediate states were lost, ultimately failing to achieve 100% account consistency. In contrast, the total data transmission volume of the sample group of this invention was only 4.4% of that of control group A, and the number of invalid vouchers at the target end was zero. The state control unit of this invention successfully identified and intercepted all process noise in non-effective management cycles at the source end, triggering the calculation and transmission of effective net value increments only when the document state switches to the anchor point. This converges the high-frequency physical modification integral into a one-time logical output, eliminating the risk of data redundancy and timing errors from the source. Further stress testing focused on the system's self-healing capability in a one-sided disaster recovery scenario. The experiment simulated an unexpected crash in the source end database during operation, rolling back to a snapshot state 15 minutes prior, causing the synchronized accounting benchmark recorded at the source end to be lost. After significant data loss or rollback, and upon service recovery and restart of the interaction at the source end, control group B, lacking benchmark verification, continued to calculate the difference based on the erroneous benchmark after the rollback. This resulted in severe cumulative deviations in the target end's financial data, causing the consistency rate to drop below 85%. In contrast, the sample group of this invention, in the first interaction after recovery, utilized the contractual condition parameters carried... The target system's verification circuit breaker mechanism was triggered. System logs show that after detecting a mismatch in the baseline of 1258 documents, the source system automatically corrected its local data using the opening balance reconciliation table returned by the target system. The system then recalculates the effective net value increment based on the revised benchmark. This process, without human intervention, automatically restores the accounting consistency of all affected documents to 100% within 3 minutes. Furthermore, for the special scenario where the numerical value remains unchanged but the attribution dimension changes, the experiment selected 500 documents with only the department accounting code modified for testing. The results showed that control group B, due to a zero numerical difference, did not trigger any interaction, leading to an error in the cost allocation object in the financial accounts. The sample group of this invention, however, accurately identified the error through dimensional fingerprint comparison. It generates composite certificates that include adjustments to the lending and borrowing directions.

[0044] Example 3: This example combines Figures 1 to 3 A description of a data interaction method and system for an ERP system, such as... Figure 1As shown, the process enters the real-time monitoring stage. When the source business operation triggers a change in the business document, the status control module immediately identifies the business confirmation status. If the status is in a non-effective management cycle defined by two adjacent status anchors, the system determines that it has entered a silent interval and executes the operation of freezing the declaration permission and only recording the draft locally. Once the status is identified to switch to the status anchor, the process is unfrozen and triggers the differential accounting module, which reads the synchronized accounting benchmark stored in the database. As shown in the database icon, the benchmark records the value at the time of the last alignment. Then, the current business value is compared with the benchmark to calculate the effective net value increment. Subsequently, the voucher circulation module generates financial voucher instructions based on the increment and sends them to the target financial system to perform differential accounting. Finally, after obtaining confirmation feedback, the benchmark maintenance module uses the current value to update or reset the synchronized accounting benchmark, thereby forming a closed-loop control of data flow.

[0045] like Figure 2 As shown, the horizontal axis represents the time points after the fault occurred, covering several observation points from the instant the fault occurred to 5 minutes later; the vertical axis represents the final consistency ratio of financial accounts. The figure contains two comparative curves: the dashed line represents control group B using a simple incremental synchronization strategy, and the solid line represents the sample group applying the technical solution of this invention. Observing the curve trend, it can be seen that in the initial stage of the fault, the consistency ratio of both groups is at a low starting point; however, as time goes on, the solid line representing the sample group of this invention shows a rapid and stable upward trend, and converges to a consistency level of 100% after 3 minutes. In contrast, the dashed line representing control group B, although showing a slight increase, remains in a low consistency range and does not show any signs of complete closure. Figure 3 As shown, the rule configuration administrator is responsible for defining the set of state anchor points and defining the silent interval in the configuration terminal, while the business operation personnel are responsible for triggering state changes. The core logic of the system automatically executes the task of monitoring the business rights confirmation status: when it is in the frozen declaration permission stage marked by the dashed box, the system blocks external interaction; when the state switches to the anchor point, the system sequentially triggers the calculation of the effective net value increment, generates financial voucher instructions and sends interaction instructions to the target financial accounting system. In addition, the system architecture also integrates a variety of key branch mechanisms in parallel, including self-healing correction, red-ink reconciliation and dimensional fingerprint reclassification.

[0046] Example 4: In complex distributed financial architectures involving cross-border multi-currency settlements, the data interaction system of this invention is used to solve the data consistency problem caused by differences in the underlying encoding of heterogeneous systems and high-concurrency race conditions. In this scenario, the source business system and the target financial system run in different operating system and character set environments, and need to process complex documents containing dozens of custom auxiliary accounting dimensions. To ensure the determinism of auxiliary accounting dimension fingerprints in heterogeneous environments, the system has a built-in strict normalized serialization procedure. When the system is ready to calculate historical dimension fingerprints or current accounting dimension fingerprints, it does not directly... Instead of performing hash operations on the original data structure, the system first extracts all key-value pairs from the preset sensitive attribute set. The system then performs a lexicographical rearrangement operation, which sorts the key-value pairs in ascending order based on the ASCII code values ​​of the attribute names to eliminate differences caused by different field definition orders in the system. For empty objects or null values ​​in the attribute values, the system uniformly converts them into empty strings and uses specific delimiters such as vertical bars to connect the sorted key-value pairs into a standardized plaintext string. Subsequently, the system performs SHA-256 operations on the standardized plaintext string to generate a fingerprint feature code with cross-platform bit-level consistency.

[0047] After achieving consistent representation of static data, to address the risk of concurrency conflicts during dynamic interactions, the system employs an atomic contract execution logic based on the Compare-and-Exchange (CAS) principle. This logic is used when the source generates a contract containing a valid net value increment. and pre-contractual conditions When the instruction is sent to the target database, the target database does not perform read and write operations step by step. Instead, it executes an atomic update instruction with a conditional check. The update occurs when the current balance of the document in the database is strictly equal to the value in the instruction packet. Only then was it approved to The transaction is accumulated to the current balance and committed. If the condition is not met, the database kernel directly refuses the update and throws a state version exception. This mechanism builds an exclusive barrier at the microsecond-level database instruction level, completely eliminating the risk of dirty writes caused by the time difference between read, modify, and write in a high-concurrency environment. For scenarios where the target system is standard commercial software and the kernel cannot be modified, the consistency contract verification step is executed by a lightweight adapter deployed at the application interface gateway layer of the target system. The adapter intercepts the source end's transmission containing consistency contract parameters. Voucher instructions query the current balance of documents in the target database through a read-only channel. And compare and The numerical values ​​are used to forward a write instruction to the target system kernel when they are strictly equal; otherwise, a direct generation of a function containing the specified values ​​is generated. The true value feedback message is returned to the source end, and the consistency verification is completed without modifying the core code of the target system.

[0048] If the aforementioned contract verification failure occurs, the source system will receive a response from the target system containing the actual initial balance. Upon receiving a rejection message, the source system initiates a single-convergence self-healing procedure. The system first suspends all concurrent operations on the document and then stores the locally synchronized calculation benchmark. Updated to the feedback from the target end The system simultaneously records audit logs for traceability, and then recalculates the corrected net asset value increment based on the updated benchmark. The calculation follows the formula After the calculation is completed, the system generates a new interaction command and retryes. To prevent the system from getting stuck in an infinite loop under extreme network oscillations, the self-healing retry logic is set to execute only once in a single interaction cycle. If it fails again, the document is suspended and a manual intervention alarm is triggered, thereby ensuring the system's stability and resource security while ensuring the eventual consistency of the data.

[0049] Example 5: To address the potential differences in floating-point precision truncation or timestamp formatting in different database systems such as Oracle and MySQL, and in cross-platform network environments, the data interaction system of this invention incorporates a standardized offline calibration and data filling procedure. First, a benchmark table containing standard test cases is established in the target database, which includes pre-set sample records covering key data types such as high-precision long floating-point numbers, millisecond-level timestamps, and multi-byte character sets. The source system reads these sample records sequentially and generates corresponding verification fingerprints locally according to the aforementioned standardized serialization rules. The system calculates the fingerprint matching deviation in the current environment by comparing the fingerprint generated by the source with the standard fingerprint pre-set on the target. When the deviation exceeds a preset security threshold, the system automatically fine-tunes the precision retention bits and character encoding conversion parameters in the serialization algorithm.

[0050] Furthermore, considering the differences in network latency and system load across different enterprise deployment environments, the system establishes a pre-deployment calibration procedure. Before the system is officially launched, a stress test calibration is performed, simulating a stepped increase in concurrent business requests using a traffic generator, and monitoring the distribution characteristics of network round-trip time (RTT) and database transaction processing time in real time. Based on the monitoring data, the system uses a built-in statistical algorithm to dynamically calculate the optimal timeout threshold suitable for the current network environment. The retry interval parameter is calculated according to the formula. ,in This represents the average network round-trip time. Its standard deviation, By calibrating the average processing time of database transactions, the system can set the optimal combination of parameters for each specific deployment environment, minimizing false circuit breakers caused by network jitter.

[0051] Example 6: To ensure that the judgment logic of state anchor points and silent intervals can adapt to the differences in business processes of different enterprises in actual engineering deployment, the system has a built-in standardized on-site deployment pre-calibration and state mapping configuration procedure. Before the system goes live, the implementation engineer must first use the built-in business panorama scanner to read all document types and their corresponding state machine definitions in the source ERP system. Then the system automatically generates an initial state mapping matrix and starts a shadow operation mode for one business cycle. In this mode, the system does not intercept any data interaction, but records the state change trajectory of each document in real time and its temporal correlation with the accounting operation of the target financial system. The system analyzes historical data through statistical algorithms to identify those state nodes that frequently change before financial accounting and whose final values ​​are inconsistent with the accounting values, and marks them as candidate states for non-effective management cycles. During the construction of the state mapping matrix, the recommended state anchor point screening is performed using a sliding time window variance detection procedure, setting a time window that covers the entire business cycle. Track specific state nodes within the window The amount field of the business document Change frequency If the state Frequency of amount changes during the duration The variance of the time interval between the status update and the immediate financial accounting action is less than 0.01 times per hour. If the time is less than 5 square seconds below the preset threshold, the status is determined. The system identifies and marks state nodes that meet the stability convergence criteria as candidate state anchors. It also identifies state nodes that are adjacent to financial accounting operations and have a value stability of 100% and recommends them as state anchors. Based on the recommendation report generated by the system and combined with the company's financial internal control standards, the implementation engineer confirms and solidifies the final set of state anchors in the configuration interface, thereby completing the personalized parameter calibration for a specific enterprise environment.

[0052] Furthermore, to address the potential accuracy issues related to cross-currency exchange rate conversions in net asset value pulse calculations, the system employs a floating-point arithmetic precision control procedure. Before performing differential calculations, the system first reads the metadata from both the source and target databases to obtain the defined precision of each monetary field. If the precision definitions at both ends are inconsistent, the system automatically adopts the higher precision value and sets the precision of intermediate variables in the internal calculations accordingly. During subtraction operations, the system uses a high-precision BigDecimal type for calculation and only performs banker's rounding to truncate the data according to the precision requirements of the target system when generating the final interactive instruction. In order to prevent accounting imbalances caused by the accumulation of rounding errors, the system temporarily stores the small residuals generated by rounding in the local precision adjustment pool after each calculation. When the accumulated residual value reaches the minimum currency unit of the target system, the system automatically adds a small correction entry in the next interactive instruction, thereby ensuring the long-term balance of financial accounts from a mathematical perspective.

[0053] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A data interaction method for an ERP system, characterized in that, Includes the following steps: In the business rule configuration layer of the ERP system, a set of status anchor points is defined. The set of status anchor points is mapped to the specific confirmation status of business documents that have financial accounting effect or administrative approval effect, and the flow process between two adjacent status anchor points is defined as a non-effective management cycle. Establish a synchronized accounting benchmark that uniquely corresponds to the business document, which is used to record the business volume value when the document was last aligned across systems at the status anchor point; Real-time monitoring of the business rights status and changes in business volume of business documents. When the business rights status indicates that the document is in a non-effective management cycle, the application permissions for the target system are frozen at the business management level and only draft-level records are maintained locally to prevent unauthorized data from interfering with the financial accounts of the target system. When the business rights confirmation status of a business document is identified to switch to any status in the set of status anchors, the freeze on the application permission is lifted and the differentiated accounting logic is executed. The differentiated accounting logic executes the following rules: obtain the current business volume value of the business document, compare it with the synchronized accounting benchmark for profit and loss, and calculate the effective net value increment that has the effect of being recorded. The instruction to generate financial vouchers containing effective net value increments is sent to the target system. After receiving confirmation feedback, the synchronized accounting benchmark is updated using the current business volume value as a prerequisite for the next accounting comparison. Furthermore, the steps for executing differentiated accounting logic also include: monitoring the business ownership status of business documents; when it is detected that the business ownership status has regressed from the status anchor point to a non-effective management cycle, it is identified as an administrative revocation event and a red-ink reconciliation operation is triggered; the red-ink reconciliation operation includes: treating the logical value of the current business volume of the business document as zero according to financial audit rules, calculating the difference between zero and the synchronized accounting benchmark to generate a negative effective net value increment; encapsulating the negative effective net value increment into a red-ink reversal voucher and sending it to the target system, and resetting the synchronized accounting benchmark to zero; The synchronized accounting benchmark is associated with an accounting period attribute; the differentiated accounting logic also includes a cross-period compliance verification step: obtain the current accounting period to which the business document belongs, and compare it with the accounting period already carried forward in the synchronized accounting benchmark; if the accounting period to which the business document belongs is inconsistent with the accounting period already carried forward, it is determined to be a cross-period adjustment item, and a composite adjustment instruction containing the first voucher and the second voucher is generated; the first voucher generates a red-ink reversal record for the accounting period already carried forward based on the synchronized accounting benchmark, and the second voucher generates a blue-ink entry record for the accounting period to which the business document belongs based on the current business volume value; send the composite adjustment instruction, and update the accounting period attribute using the accounting period to which the business document belongs; The financial voucher instruction carries a consistency contract parameter, which is the value of the synchronized accounting benchmark recorded at the source. The steps to send it to the target system specifically include: instructing the target system to compare the opening balance of the document in the target system with the consistency contract parameter according to the audit rules before executing the voucher posting; if the comparison results are inconsistent, receiving the opening balance reconciliation statement returned by the target system; automatically correcting the synchronized accounting benchmark at the source based on the opening balance reconciliation statement, and re-executing the differential accounting logic based on the corrected benchmark.

2. The data interaction method for an ERP system according to claim 1, characterized in that, The synchronized accounting benchmark is associated with auxiliary accounting dimension fingerprints, which are generated based on the combination of cost aggregation attribute fields preset in the business documents. The differentiated accounting logic also includes a dimension reclassification step: generating the current accounting dimension fingerprint based on the current cost aggregation attribute fields of the business documents, and comparing it with the historical dimension fingerprints in the synchronized accounting benchmark. If the current accounting dimension fingerprint is inconsistent with the historical dimension fingerprint, it is determined to be a cost attribution transfer event, and a debit / credit adjustment instruction is generated. The debit / credit adjustment instruction includes: a transfer-out record generated based on the synchronized accounting benchmark for the original cost attribution object, and a transfer-in record generated based on the current business volume value for the new cost attribution object. Send a lending adjustment instruction and update the auxiliary accounting dimension fingerprint using the current accounting dimension fingerprint.

3. The data interaction method for an ERP system according to claim 1, characterized in that, The specific configuration of the status anchor point set includes the financial review approval node, the inventory quality inspection qualification node, and the tax declaration completion node; the specific configuration of the non-effective management cycle includes the document preparation stage, the approval process stage, and the rejection revision stage; the step of freezing the declaration authority of the target system aims to prevent non-final financial data in the preparation or revision process from being mistakenly included in the formal accounting statements of the target system through the constraint of administrative status; the generation of effective net value increment strictly follows the accrual basis principle and only reflects the change in financial liability caused by the change in administrative confirmation status, without including any process modification records of business documents during the non-effective management cycle; after receiving the instruction, the target system only adjusts the account balance based on the effective net value increment and does not perform full data overwrite.

4. The data interaction method of an ERP system according to claim 2, characterized in that, The cost aggregation attribute fields include department accounting code, project accounting code, supplier code, and tax classification code; The steps to generate the fingerprint of the current accounting dimension include: extracting the business codes of each attribute field and combining them into a unique accounting feature code according to the preset financial coding rules.

5. The data interaction method for an ERP system according to claim 1, characterized in that, The steps to correct the synchronized accounting baseline at the source end include: aligning the synchronized accounting baseline to the opening balance reported by the target system; and generating a system-level audit trail log to record the adjustment amount and time of the automatic reconciliation.

6. The data interaction method of an ERP system according to claim 1, characterized in that, In the differentiated accounting logic, for the effective net asset value increment The calculation follows the following quantitative accounting rules: ,in, This represents the current transaction volume value of the business document when the status anchor point is triggered. The values ​​are stored in the synchronized accounting benchmark; when When the value is zero, the system determines that no substantial financial change has occurred, and only sends an administrative status synchronization signal to the target system without generating financial vouchers.

7. A data interaction system for an ERP system, used to implement the method according to any one of claims 1 to 6, characterized in that, include: The rule configuration module is used to define a set of status anchor points in the business rule configuration layer of the ERP system, map the set of status anchor points to the specific confirmation status of business documents that have financial accounting effect or administrative approval effect, and define the flow process between two adjacent status anchor points as a non-effective management cycle. The baseline maintenance module is used to establish a synchronized accounting baseline that uniquely corresponds to the business document, in order to record the business volume value when the document was last aligned across systems at the status anchor point; The status control module is used to monitor the business rights status and business volume value changes of business documents in real time. When the business rights status indicates that the document is in a non-effective management cycle, the application permission for the target system is frozen. When the business rights status is detected to switch to any status in the status anchor set, the application permission is unfrozen and the accounting logic is triggered. The differential accounting module is used to obtain the current business volume value of the business document, compare it with the synchronized accounting benchmark for profit and loss, and calculate the effective net value increment that has the effect of being recorded. The voucher circulation module is used to generate financial voucher instructions containing effective net value increments and send them to the target system. After receiving confirmation feedback, it updates the synchronized accounting benchmark using the current business volume value.

Images