Nuclear power facility identification code management method and system

Abstract

The invention relates to the technical field of nuclear power facility information system integration, and discloses a nuclear power facility identification code management method and system.The nuclear power facility identification code management method comprises the steps that a middle layer code mapping model is constructed, and coding formats of different sources are unified; incremental coding synchronization is adopted, and real-time synchronization and consistency of coding updating between systems are guaranteed. A progressive migration strategy is implemented, large-scale coding system migration steps are split, and new and old codes are supported to be parallel; a mixed reality visualization function is developed, and the code migration state is visually displayed; and an abnormal mode identification and interactive intervention function is established to assist operation and maintenance personnel in handling migration problems in time. According to the method, the interoperation problem of a nuclear power facility multi-coding system is solved, unified management of coding between heterogeneous systems is realized, the interoperability and migration safety of the systems are improved, and the risk of coding migration is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power facility information system integration, and more particularly, to a nuclear power facility identification coding management method and system. Background Art

[0002] The operation and management of nuclear power facilities typically involves the deployment of multiple specialized information systems, including equipment management systems, maintenance management systems, asset management systems, safety monitoring systems, and document management systems. These systems are often developed by different vendors and utilize different identification and coding systems and data structures. With the accelerated digital transformation of the nuclear power industry, the need for data exchange and integration between these systems is increasing. However, the differences between these coding systems have become a key technical bottleneck hindering system interoperability.

[0003] Currently, there are two main approaches to managing the coding of heterogeneous systems in nuclear power facilities: unified reconstruction, which involves reconstructing all systems and adopting a unified coding system; and point-to-point mapping, which involves establishing direct coding mapping relationships between different systems. The unified reconstruction method is costly and risky to implement, often requiring extended downtime and impacting the normal operation of nuclear power facilities. With the point-to-point mapping method, mapping relationships grow exponentially as the number of systems increases, making maintenance difficult and synchronization inefficient. Furthermore, during system upgrades or integrations, large-scale coding migrations typically employ a one-time migration approach, which is not only risky but can also cause system instability. Furthermore, because the coding migration process is complex and abstract, operations and maintenance personnel struggle to intuitively understand the migration status and potential issues, making it impossible to intervene and adjust in a timely manner. This results in a high migration failure rate and frequent data inconsistencies.

[0004] Therefore, there is an urgent need for a nuclear power facility identification and coding management method that can achieve unified management and efficient synchronization while retaining the original coding system of each system, support safe and reliable progressive migration, provide intuitive visualization means and intelligent intervention mechanisms, reduce migration risks, and ensure business continuity. Summary of the Invention

[0005] The present invention provides a nuclear power facility identification coding management method and system, which solve the technical problems in related technologies of poor interoperability of multiple coding systems of nuclear power facilities and high risk of system integration and migration.

[0006] The present invention discloses a method for managing identification and coding of nuclear power facilities, comprising the following steps: Construct an intermediate layer code mapping model to uniformly map identification codes from different sources into a standardized format; Implementing an incremental code synchronization method to ensure real-time propagation and consistency maintenance of code updates across different systems; Adopt a gradual migration strategy, breaking down large-scale coding system migration into multiple independently verifiable small steps while supporting the parallel operation of the old and new coding systems; Develop a mixed reality-based migration process visualization function to map the abstract coding migration process into three-dimensional space, providing operations and maintenance personnel with intuitive migration status monitoring and understanding capabilities; Build abnormal pattern recognition and interactive intervention functions to help operation and maintenance personnel promptly identify and resolve potential problems during the migration process.

[0007] Furthermore, the constructing of the intermediate layer coding mapping model includes: Obtain the source system encoding rule set and extract the encoding rule data set from each source system; Build a coding feature extractor for each source system; Apply dynamic code mapping algorithm to establish a bidirectional mapping relationship between source code and target code; Generate an intermediate layer coding mapping model and build a resource library that records the coding correspondence between different systems.

[0008] Furthermore, the method for implementing incremental encoding synchronization includes: Build a change detection and capture model to continuously monitor the code base of each source system to detect code addition, modification, and deletion events; Apply the minimum change propagation algorithm to determine the set of target systems that need to be updated synchronously; Generate a differentiated update package for each affected target system; Perform transactional synchronization and use a two-phase commit protocol to ensure the atomicity and consistency of synchronization operations.

[0009] Furthermore, the gradual migration strategy includes: Build a migration dependency graph model to analyze the dependencies between coding systems; Apply the segmented migration algorithm to divide the migration sequence into multiple migration batches; Implement a parallel compatible operation mechanism to support the parallel operation of the old and new coding systems during the migration process; Perform rollback migration operations and roll back to the previous stable state when migration verification fails.

[0010] Furthermore, the development of a mixed reality-based migration process visualization function includes: Construct a spatial mapping model of the migration process to convert the abstract coding migration process into visualization elements in three-dimensional space; Apply real-time data stream processing algorithms to continuously capture state changes during the migration process and update the visual representation; Implement a mixed reality interactive interface to support operations personnel in viewing and operating the migration process through natural interaction; Generate a migration process analysis report, providing key indicators such as migration completion rate, quality, and risk distribution.

[0011] Furthermore, the construction of abnormal pattern recognition and interactive intervention functions includes: Establish a migration anomaly pattern library based on historical migration data and expert knowledge; Apply a multimodal anomaly detection algorithm to match and analyze real-time migration status data with the anomaly pattern library; Implement a natural interactive intervention mechanism, allowing operations personnel to adjust the migration process through intuitive gestures and voice commands; Generate intelligent intervention recommendations that are automatically generated based on the current migration status and detected anomalies.

[0012] Furthermore, the dynamic coding mapping algorithm calculates the similarity matrix through the following mapping function: ; in, Encode the source system, Code for the target system, and The source and target codes are The value of the feature dimension, is the feature dimension The weight coefficient of It is the feature similarity calculation function.

[0013] Furthermore, the minimum change propagation algorithm is based on the detected change events , calculate the scope of change impact : ; in, is the target system set, To be used on the target system The updated encoding set in , It is based on the intermediate layer coding mapping model Calculation change code Target system The affected function.

[0014] Furthermore, the segmented migration algorithm divides the migration sequence Seq into multiple migration batches ,in, 、 、 Respectively represent 、 、 Migration batches, is the total number of migration batches, Indicates the Migrate batches, and the batch division is based on the following optimization objective function: ; in, It's a batch The execution time, It's a batch The risk assessment function, is the maximum acceptable risk threshold, Indicates batch Risk assessment function Less than or equal to the maximum acceptable risk threshold .

[0015] The present invention provides a nuclear power facility identification and coding management system, comprising: The middle layer code mapping module is used to uniformly map identification codes from different sources into a standardized format; Incremental code synchronization module, used to ensure real-time propagation and consistency maintenance of code updates between different systems; A progressive migration strategy module, which is used to split large-scale coding system migration into multiple independently verifiable small steps, while supporting the parallel operation of the old and new coding systems; A mixed reality-based migration process visualization module is used to map the abstract code migration process into three-dimensional space, providing operations and maintenance personnel with intuitive migration status monitoring and understanding capabilities; The abnormal pattern recognition and interactive intervention module is used to help operation and maintenance personnel promptly identify and resolve potential problems during the migration process.

[0016] The beneficial effects of the present invention are: By building an intermediate-layer coding mapping model, efficient mapping and conversion between different coding systems is achieved. While retaining the original coding of each system, a unified mapping relationship is established, avoiding the high cost and high risk of system reconstruction. The incremental code synchronization method enables real-time detection and accurate propagation of code changes, reduces the risk of data inconsistency, reduces synchronization latency from hours to seconds, and improves data consistency between systems. Through a gradual migration strategy, large-scale code migration is broken down into multiple manageable small steps, achieving zero-disruption migration and supporting rollback at any time, effectively reducing migration risks and ensuring business continuity. Using mixed reality technology, the abstract code migration process is transformed into an intuitive 3D visual representation, helping operations personnel monitor and understand the migration status in real time, improving visibility and controllability of the migration process. Through abnormal pattern recognition and interactive intervention functions, early warning and intelligent analysis of migration anomalies are achieved, and intuitive intervention methods are provided, which reduces the average problem-solving time by about 90% and significantly improves the success rate and efficiency of migration. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The present invention is a flowchart of a nuclear power facility identification coding management method. DETAILED DESCRIPTION

[0018] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that these embodiments are discussed solely to enable those skilled in the art to better understand and implement the subject matter described herein, and that the functions and arrangements of the elements discussed may be varied without departing from the scope of this specification. Various examples may omit, substitute, or add various processes or components as needed. Furthermore, features described in some examples may be combined in other examples.

[0019] At least one embodiment of the present invention discloses a method for managing identification codes of nuclear power facilities, such as Figure 1 As shown, the following steps are included: Step 1: Construct an intermediate layer code mapping model to uniformly map identification codes from different sources into a standardized format; Specifically include: Sub-step 1.1, obtain the source system encoding rule set; Extract encoding rule datasets from various source systems ,in, 、 、 Respectively represent A set of encoding rules for a source system, is the total number of encoding rule sets in the source system, Indicates the A set of encoding rules for a source system, including the encoding format, delimiter rules, and semantic definition-related metadata used by the system.

[0020] Sub-step 1.2, construct the encoding feature extractor; For each source system , build the corresponding encoding feature extractor , the extractor is able to extract Extract the structured feature vector from: ; in, 、 、 Respectively represent the 1st, 、 feature dimensions, is the total number of feature dimensions, Indicates that the encoding The extracted Feature dimensions, such as location information, functional category, and system affiliation. The design of the feature extractor is based on the encoding rule set of the source system. .

[0021] Sub-step 1.3, applying the dynamic encoding mapping algorithm; Construct a dynamic encoding mapping algorithm to establish a bidirectional mapping relationship between the source encoding and the target encoding. The algorithm is based on the encoding feature vector and calculates the similarity matrix through the following mapping function , and its calculation formula is: ; in, Encode the source system, Code for the target system, and The source and target codes are The value of the feature dimension, is the feature dimension The weight coefficient of It is the feature similarity calculation function.

[0022] In the specific implementation, the feature similarity calculation function Different calculation methods are used according to the feature type: for numerical features, normalized Euclidean distance is used; for text features, Jaccard similarity is used; for categorical features, semantic-based cosine similarity is used. Weight coefficient Obtained through statistical learning of historical mapping data, the initial weights are set based on domain expert knowledge and then dynamically optimized through a feedback adjustment mechanism.

[0023] Sub-step 1.4, generating an intermediate layer coding mapping model; Based on the calculated similarity matrix , construct the intermediate layer coding mapping model, and its calculation formula is: ; in, Indicates the source system The encoding, Indicates the target system The encoding, Indicates the similarity score between them. When new codes are added or existing codes are updated, the mapping resource library is updated through incremental calculation to ensure the real-time validity of the mapping relationship.

[0024] Step 2: Implement an incremental code synchronization method to ensure real-time propagation and consistency maintenance of code updates across different systems. Specifically include: Sub-step 2.1: Build a change detection and capture model; Build a change detection and capture model that continuously monitors the code base of each source system to detect code addition, modification, and deletion events. Represented by a triple, its calculation formula is: ; in, A code indicating the change, Indicates the operation type, Indicates the timestamp of the change event.

[0025] Sub-step 2.2, apply the minimum change propagation algorithm; Based on detected change events , the minimum change propagation algorithm is applied to determine the set of target systems that need to be updated synchronously. This algorithm calculates the scope of change impact , and its calculation formula is:

[0026] in, is the target system set, To be used on the target system The updated encoding set in , Is an impact analysis function based on the intermediate layer encoding mapping model Calculation change code Target system impact.

[0027] Impact analysis function Using the dependency propagation graph algorithm, we first change the encoding Starting from this, we construct a directed dependency graph, where nodes represent codes and edges represent mapping relationships. Then, we traverse the dependency graph using a breadth-first search algorithm to filter out the associated codes whose impact reaches a predefined threshold, forming a minimum impact set to avoid unnecessary update propagation.

[0028] Sub-step 2.3, generating a differential update package; For each affected target system , generate differential update packages , and its calculation formula is: ; in, is the code that needs to be updated in the target system, is the corresponding operation type, The update package is generated with minimal disruption and contains only necessary changes.

[0029] Sub-step 2.4, perform transactional synchronization; Use transactional synchronization mechanism to execute update packages , ensuring the atomicity and consistency of synchronization operations. The synchronization process uses a two-phase commit protocol: Prepare phase: Send prepare commands to all affected target systems to verify update conditions; Commit phase: After all systems are ready, a commit command is sent to perform the actual update. After synchronous execution, update the intermediate layer encoding mapping model The relevant mapping relationships in the sync log are recorded for subsequent auditing and backtracking.

[0030] Step 3: Adopt a gradual migration strategy, breaking down the large-scale coding system migration into multiple independently verifiable small steps while supporting the parallel operation of the old and new coding systems. Specifically include: Sub-step 3.1: Build a migration dependency graph model; Analyze the dependencies between coding systems and build a migration dependency graph , where the vertex set Represents the set of codes that need to be migrated, the edge set Represents the dependency relationship between codes. The dependency relationship consists of directed edges express, and There are two encoding nodes. is the dependency weight, which indicates the strength of the dependency.

[0031] Through the topological sorting algorithm, based on the dependency graph Calculate the optimal migration sequence , and its calculation formula is: ; in, is a weighted function that considers system stability and business continuity. Represents a topological sorting algorithm.

[0032] Sub-step 3.2, applying the segmented migration algorithm; Migrate the sequence Divide into multiple migration batches ,in, 、 、 Respectively represent 、 、 Migration batches, is the total number of migration batches, Indicates the Migration batches, each batch Contains a set of codes that can be migrated in parallel. Batch division is based on the optimization objective function, which is calculated as: ; in It's a batch The execution time, It's a batch The risk assessment function, is the maximum acceptable risk threshold, Indicates batch Risk assessment function Less than or equal to the maximum acceptable risk threshold .

[0033] The segmented migration algorithm uses an adaptive batch partitioning strategy, dynamically adjusting batch size based on system load and business activity. Specifically, a hierarchical clustering approach is used to group codes, with clustering characteristics including code dependency strength, business relevance, and system load impact. A risk-balanced optimization algorithm is then applied to adjust the clustering results to ensure that the risk score of each batch does not exceed a threshold.

[0034] Sub-step 3.3, implement the parallel compatible operation mechanism; A parallel compatible operation mechanism is built to support the parallel operation of the old and new coding systems during the migration process. This mechanism achieves transparency in data access through the following bidirectional conversion function, whose calculation formula is: ; ; in, and are the values ​​corresponding to the old and new encodings respectively. Is the transformation context, containing the necessary metadata, and It is a bidirectional conversion function.

[0035] Sub-step 3.4, perform rollback migration operations; For each migration batch , perform a rollback migration. The migration process uses the following steps: Pre-migration verification: confirm that the migration conditions of the current batch are met; Create a rollback point: record the current system state as a reference point for potential rollback; Execute migration: perform encoding conversion in a predefined order; Migration verification: Verify the correctness and consistency of migration results; If the verification fails, perform a rollback; otherwise, commit the migration results and update the system status.

[0036] Step 4: Develop a mixed reality-based migration process visualization function to map the abstract code migration process into three-dimensional space, providing operations personnel with intuitive migration status monitoring and understanding capabilities. Specifically include: Sub-step 4.1, constructing a spatial mapping model of the migration process; A migration process space mapping model is constructed, which converts the abstract coding migration process into visualization elements in three-dimensional space. The calculation formula of the mapping function is: ; in, is the entity in the migration process, is the corresponding visual representation, is the environmental context information, is a mapping function. The mapping model supports multiple levels of abstraction, allowing you to view migration details at different granularity levels through zoom operations.

[0037] The migration process spatial mapping model adopts a layered architecture, consisting of a data layer, a mapping layer, and a rendering layer. The data layer is responsible for acquiring real-time status data from the migration system. The mapping layer converts abstract data into visual objects, employs a force-directed graph algorithm to lay out the encoded nodes, and adjusts node spacing based on association strength. The rendering layer is responsible for the final visual presentation, encoding migration status and progress information through color, shape, size, and animated visual variables.

[0038] Sub-step 4.2, applying real-time data stream processing algorithms; Build a real-time data stream processing algorithm to continuously capture state changes during the migration process and update the visual representation. The data stream processed by this algorithm can be expressed as: ; in, is a migration entity, is the current state of the entity, is the data stream timestamp, is the edge set of the migration dependency graph, is the set of migration states, Is a collection of timestamps. Data stream processing uses sliding window technology to ensure that the visualization results reflect the latest status while retaining the necessary historical context.

[0039] Sub-step 4.3, implement the mixed reality interactive interface; A mixed reality interactive interface is built based on MR devices (such as head-mounted displays) to enable operators to view and operate the migration process through natural interaction. The interactive interface includes the following key functions: Three-dimensional presentation: The coding migration network is presented as a three-dimensional structure, with different coding systems located at different levels, and connecting lines representing mapping relationships; State encoding: Use color, shape, and animation visual elements to encode migration status and progress; Spatial navigation: allows users to move, rotate, and zoom views in three-dimensional space using gestures. Context-aware: Automatically adjusts visualization content based on user location and perspective, emphasizing key information.

[0040] Sub-step 4.4, generating a migration process analysis report; Automatically generate a migration process analysis report based on visual data and user interaction records. The report includes the following key indicators: Migration completion rate: the proportion of migrated codes to the total; Migration quality: the accuracy and consistency score of the migration results; Risk distribution map: displays risk points and distribution during the migration process; Trend prediction: Predict migration completion time and potential issues based on historical data; Analysis reports are presented in the form of interactive charts in a mixed reality environment, allowing operations personnel to conduct in-depth analysis.

[0041] Step 5: Build abnormal pattern recognition and interactive intervention capabilities to help operations personnel promptly identify and resolve potential issues during the migration process. Specifically include: Sub-step 5.1, establish a migration exception pattern library; Build a migration anomaly pattern library based on historical migration data and expert knowledge ,in, 、 、 Respectively represent 、 、 An abnormal pattern, is the total number of abnormal patterns, Indicates the abnormal mode, each abnormal mode It is composed of the following elements and its calculation formula is: ; in, is a characteristic description of the abnormal pattern, is the severity level, is the recommended solution. Exception modes include but are not limited to encoding conflicts, mapping failures, and data inconsistencies.

[0042] Sub-step 5.2, applying a multimodal anomaly detection algorithm; Build a multimodal anomaly detection algorithm to match and analyze real-time migration status data with the anomaly pattern library. Detection function , and its calculation formula is: ; in, is a snapshot of the system state, is the exception pattern that is matched, is the confidence score, It is abnormal location information. It is an exception pattern library. is the confidence threshold. The algorithm comprehensively considers multiple data features, including temporal patterns, topological structures, and state distribution.

[0043] The multimodal anomaly detection algorithm uses an ensemble learning framework, combining multiple detection methods including rule matching, statistical analysis, and temporal pattern recognition. In its implementation, it first extracts temporal features using a sliding window to capture state change patterns. It then uses a local outlier factor (LOF) algorithm to detect spatially distributed anomalies. Finally, a decision-level fusion strategy is applied to integrate the results from each detector, improving the accuracy and robustness of anomaly detection.

[0044] Sub-step 5.3, implement the natural interaction intervention mechanism; Based on the mixed reality environment, a natural interactive intervention mechanism is built to support operation and maintenance personnel to adjust the migration process through intuitive gestures and voice commands. Includes the following core operations: Pause / resume: Control the execution status of the migration process; Adjust: Modify migration parameters or priorities; Rollback: Roll back a specific code or batch to its previous state; Diagnose: An in-depth analysis of a specific anomaly or problem. Predict: Predict future outcomes based on current state simulations; Interaction commands are parsed through natural language and gesture recognition algorithms and converted into a sequence of operations that can be executed by the system.

[0045] Sub-step 5.4, generating intelligent intervention suggestions; Automatically generate intelligent intervention recommendations based on current migration status and detected anomalies , and its calculation formula is: ; in, is the current system status, is the set of detected anomalies, is the recommended intervention. is an assessment of the expected impact of the operation, is the confidence level of the recommendation, which is generated using a hybrid reasoning approach that combines a rule-based expert system and a data-based machine learning model. Contains prioritized action recommendations, potential impact assessment, execution time window, and expected outcomes; Intervention suggestions are visually presented to operation and maintenance personnel through a mixed reality interface, supporting interactive adjustment and execution.

[0046] In this implementation, an intermediate-layer coding mapping model is constructed to address the interoperability challenges of multiple coding systems, preserving the existing coding systems of each system while enabling interoperability. This significantly reduces system reconstruction costs, reduces cross-system coding query response time by 70%, and maintains coding consistency at 99.8%. An incremental coding synchronization method breaks down information silos, reducing synchronization latency from 4 hours to within 30 seconds and data consistency error rates by 95%. A gradual migration strategy breaks down coding system migration into multiple, verifiable steps, shortening system integration time by 60%, service interruption time by 85%, and error handling time by 75%, respectively. Leveraging mixed reality visualization, operations and maintenance personnel reduce the time it takes to identify potential issues by 65% ​​and improve problem-solving accuracy by 40%. Abnormal pattern recognition and interactive intervention enable intelligent monitoring and proactive intervention, achieving a 92% early warning rate for abnormal events, an 85% success rate for preventing critical faults, and a 50% reduction in overall operations and maintenance workload. This method addresses the management and information sharing challenges of multiple coding systems within nuclear power facilities, providing an effective means for coding system migration, reducing migration risks, and ensuring business continuity. It demonstrates significant technical effectiveness and application value.

[0047] In one embodiment of the present invention, an application example of the aforementioned nuclear power facility identification coding management method is provided: Application Scenario: This nuclear power group planned to build a group-level integrated management platform (IMP) to integrate heterogeneous systems across nuclear power plants and enable cross-site and cross-system data sharing and business collaboration. The system integration involved migrating and mapping over one million equipment identification codes, and the integration process had to be performed while the system was operating normally, with no extended downtime permitted.

[0048] There are significant differences in the coding systems of existing systems in various nuclear power plants, mainly manifested in problems such as inconsistent coding formats, inconsistent semantic rules, and different hierarchical structures. The differences in coding systems of typical systems are shown in Table 1: Table 1: Comparison of coding systems of various systems:

[0049] The main challenges faced by system integration include: Large-scale code mapping: It is necessary to establish a mapping relationship between codes in different systems to ensure data consistency; Real-time synchronization update: The system frequently updates its code during operation and needs to be synchronized to related systems in real time; Risk control: The coding migration process carries the risk of data loss or inconsistency, requiring a reliable migration strategy. Complexity management: Migration involves numerous systems and the process is complex, making it difficult for operations personnel to intuitively control it. Real-time intervention: When migration anomalies occur, timely identification and intervention are required to prevent the problem from spreading.

[0050] In this project, the nuclear power facility identification and coding management method proposed in this invention was applied, and the following main steps were implemented: First, we analyze the encoding rules of each system and extract a set of encoding rule data. For example, the rule set extracted from the Equipment Management System (EMS) contains the semantic rules and format definitions for the four-segment encoding structure (power station-system-equipment type-serial number).

[0051] Next, we built a coding feature extractor for each system. Taking the circulating pump in the reactor cooling system as an example, we show the feature extraction results for the same device coding in different systems, as shown in Table 2: Table 2: Example of encoding feature extraction (taking the circulating pump 001 of the reactor cooling system of Unit 1 as an example):

[0052] Based on the extracted feature vectors, the dynamic code mapping algorithm is applied to calculate the similarity matrix. For the above example, the algorithm calculates the similarity scores between each code, as shown in Table 3: Table 3: Example of encoding similarity matrix:

[0053] Finally, an intermediate-layer coding mapping model was constructed to record the corresponding relationships between the codes of different systems. The mapping results showed that power plant and system information is ubiquitous in the codes of each system, but expressed differently, necessitating semantic mapping. Furthermore, some systems (such as AMS) use positional coding, which is fundamentally different from the functional coding system and requires additional metadata to establish mapping relationships.

[0054] Deploy a change detection and capture model to monitor coding changes across all systems. During the project, the system continuously captures coding change events, including device status changes, newly added device records, and the removal of old monitoring points.

[0055] The minimum change propagation algorithm was applied to analyze the scope of change impact. For example, taking a device status change event as an example, the algorithm identified the target systems that needed to be synchronized and updated: the MMS, SMS, and the group-level integrated management platform (IMP). The AMS and DMS did not require synchronization because the device status information in these systems was irrelevant.

[0056] Generate a differentiated update package for the target system. In the event of a device status change, the update package generated for the MMS system contains the corresponding coded status update command, but does not contain changes to other irrelevant fields.

[0057] A two-phase commit protocol was used to perform transactional synchronization, ensuring consistent state across all systems. Synchronization results showed that state change events were synchronized across systems within 0.8 seconds, ensuring data consistency.

[0058] Analyze code dependencies and construct a migration dependency graph. For the code migration of the main steam system (MSS) of a nuclear power plant, a dependency graph containing 214 device nodes was constructed to calculate the optimal migration sequence.

[0059] A segmented migration algorithm was applied to divide the migration task into multiple batches. The 214 device codes of the MSS system were divided into 8 migration batches, of which batch 1 contained highly independent auxiliary devices and batch 8 contained critical safety-level devices.

[0060] A parallel compatible operation mechanism is built to support the transition between the old and new coding systems. During the migration period, when accessing codes that have not yet been migrated, the system automatically converts them through mapping relationships to ensure business continuity.

[0061] Perform rollback-capable migrations to ensure safe migrations. A rollback point is created before each batch of migrations. After the migration is complete, the migration is verified and rolled back if any issues are found. During the project implementation, three rollbacks were triggered, all of which successfully restored the system to a stable state.

[0062] A spatial mapping model for the migration process was constructed to visualize the migration process. This model maps the codes of different systems into nodes in a three-dimensional space, with colors representing migration status and lines representing mapping relationships, providing an intuitive view for operations personnel.

[0063] Apply real-time data stream processing algorithms to continuously update visualization results. The algorithm refreshes status data every 3 seconds to ensure that the visualization content reflects the latest migration status.

[0064] A mixed reality interface built on an MR headset allows operators to monitor and adjust the migration process through natural interaction. During a batch migration, an operator discovered an anomaly in some code migration through the MR interface and paused the migration process with a gesture, preventing the problem from spreading.

[0065] Automatically generate a migration process analysis report to support decision-making. The report includes key indicators such as migration completion rate, quality score, and risk distribution chart, helping management understand migration progress and quality.

[0066] Based on historical migration data and expert knowledge in the nuclear power field, a migration anomaly pattern library was constructed. This library contains 27 typical anomaly patterns, covering common problems such as coding conflicts, mapping failures, and data inconsistencies.

[0067] A multimodal anomaly detection algorithm was applied to monitor migration status in real time. During the project implementation, the algorithm successfully detected 31 potential anomalies, 28 of which were real issues, with an accuracy rate of 90.3%. Table 4 shows some of the detected anomalies. Table 4: Examples of anomaly detection events:

[0068] A natural interaction intervention mechanism was built to support real-time intervention by operations personnel. In abnormal event A002, the system prompted a mapping failure. The operations personnel adjusted the mapping rule parameters through gestures and voice commands in the MR environment, successfully resolving the issue.

[0069] Generate intelligent intervention recommendations to assist decision-making. For abnormal event A003, the system automatically analyzed the cause and recommended a rollback, predicting the impact range to be 12 associated codes with a confidence level of 0.95. Operations and maintenance personnel implemented the recommendation and successfully restored system stability.

[0070] During the project implementation, the technical effects of the present invention were systematically verified and evaluated, with a focus on improving system interoperability and reducing migration risks.

[0071] This invention significantly improves interoperability between systems through intermediate layer coding mapping and incremental synchronization. The key indicators before and after the project implementation are compared as shown in Table 5: Table 5: Comparison of system interoperability indicators:

[0072] The reduction in coded query response time is primarily due to the mid-tier mapping model, which reduces the number of intermediate steps in cross-system queries, transforming what used to be multiple queries into a single mapping lookup. The system integration development workload has been significantly reduced, primarily due to the standardized mapping interface, which reduces the need for custom development.

[0073] The gradual migration strategy and visual monitoring method adopted by this invention significantly reduced migration risks. The changes in key risk indicators are shown in Table 6: Table 6: Comparison of migration risk indicators:

[0074] The gradual migration strategy achieved zero service interruption and ensured business continuity. The early warning capabilities of the multimodal anomaly detection algorithm significantly reduced the scope of the problem. On average, each anomaly event affected only 3.2 related codes, far lower than the estimate of more than 20 by traditional methods.

[0075] The unified identification management method provided by the present invention significantly improves the identification and coding management efficiency of nuclear power facilities. The improvement in management efficiency is shown in Table 7: Table 7: Comparison of management efficiency indicators:

[0076] Analysis shows that this invention significantly improves code management efficiency by reducing manual query and maintenance time through automated code association and mapping. This is particularly true for assigning new equipment codes, which has significantly improved work efficiency by streamlining the process from one that required collaborative approval from multiple departments to one where the system automatically recommends and confirms the code.

[0077] Verified by this project, the nuclear power facility identification coding management method proposed in this invention not only successfully solves the coding mapping and migration problems between heterogeneous systems, but also provides visualization and intelligent intervention means, significantly reduces migration risks, improves system interoperability, and provides an efficient and reliable technical path for the upgrade and integration of nuclear power facility information systems.

[0078] The above describes an embodiment of the present invention, but this embodiment is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Ordinary technicians in this field can also make more forms of equivalent embodiments based on the inspiration of this embodiment, all of which are protected by this embodiment.

Claims

1. A method for managing identification codes of nuclear power facilities, characterized in that: The following steps are involved: Construct an intermediate layer code mapping model to uniformly map identification codes from different sources into a standardized format; Implementing an incremental code synchronization method to ensure real-time propagation and consistency maintenance of code updates across different systems; Adopt a gradual migration strategy, breaking down large-scale coding system migration into multiple independently verifiable small steps while supporting the parallel operation of the old and new coding systems; Develop a mixed reality-based migration process visualization function to map the abstract coding migration process into three-dimensional space, providing operations and maintenance personnel with intuitive migration status monitoring and understanding capabilities; Build abnormal pattern recognition and interactive intervention functions to help operation and maintenance personnel promptly identify and resolve potential problems during the migration process.

2. A nuclear power facility identification coding management method according to claim 1, characterized in that: The constructing of the intermediate layer coding mapping model includes: Obtain the source system encoding rule set and extract the encoding rule data set from each source system; Build a coding feature extractor for each source system; Apply dynamic code mapping algorithm to establish a bidirectional mapping relationship between source code and target code; Generate an intermediate layer coding mapping model and build a resource library that records the coding correspondence between different systems.

3. A nuclear power facility identification coding management method according to claim 1, characterized in that: The method for implementing incremental encoding synchronization includes: Build a change detection and capture model to continuously monitor the code base of each source system to detect code addition, modification, and deletion events; Apply the minimum change propagation algorithm to determine the set of target systems that need to be updated synchronously; Generate a differentiated update package for each affected target system; Perform transactional synchronization and use a two-phase commit protocol to ensure the atomicity and consistency of synchronization operations.

4. A nuclear power facility identification coding management method according to claim 1, characterized in that: The gradual migration strategy includes: Build a migration dependency graph model to analyze the dependencies between coding systems; Apply the segmented migration algorithm to divide the migration sequence into multiple migration batches; Implement a parallel compatible operation mechanism to support the parallel operation of the old and new coding systems during the migration process; Perform rollback migration operations and roll back to the previous stable state when migration verification fails.

5. A nuclear power facility identification coding management method according to claim 1, characterized in that: The development of mixed reality-based migration process visualization capabilities includes: Construct a spatial mapping model of the migration process to convert the abstract coding migration process into visualization elements in three-dimensional space; Apply real-time data stream processing algorithms to continuously capture state changes during the migration process and update the visual representation; Implement a mixed reality interactive interface to support operations personnel in viewing and operating the migration process through natural interaction; Generate a migration process analysis report, providing key indicators such as migration completion rate, quality, and risk distribution.

6. A nuclear power facility identification coding management method according to claim 1, characterized in that: The construction of abnormal pattern recognition and interactive intervention functions includes: Establish a migration anomaly pattern library based on historical migration data and expert knowledge; Apply a multimodal anomaly detection algorithm to match and analyze real-time migration status data with the anomaly pattern library; Implement a natural interactive intervention mechanism, allowing operations personnel to adjust the migration process through intuitive gestures and voice commands; Generate intelligent intervention recommendations that are automatically generated based on the current migration status and detected anomalies.

7. A method for managing identification codes of nuclear power facilities according to claim 2, characterized in that: The dynamic code mapping algorithm calculates the similarity matrix through the following mapping function: ； in, Encode the source system, Code for the target system, and The source and target codes are The value of the feature dimension, is the feature dimension The weight coefficient of It is the feature similarity calculation function.

8. A method for managing identification codes of nuclear power facilities according to claim 3, characterized in that: The minimum change propagation algorithm is based on the detected change events , calculate the scope of change impact : ； in, is the target system set, To be used on the target system The updated encoding set in , It is based on the intermediate layer coding mapping model Calculation change code Target system The affected function.

9. A method for managing identification codes of nuclear power facilities according to claim 4, characterized in that: The segmented migration algorithm will migrate the sequence Divide into multiple migration batches ,in, 、 、 Respectively represent 、 、 Migration batches, is the total number of migration batches, Indicates the Migrate batches, and the batch division is based on the following optimization objective function: ； in, It's a batch The execution time, It's a batch The risk assessment function, is the maximum acceptable risk threshold, Indicates batch Risk assessment function Less than or equal to the maximum acceptable risk threshold .

10. A nuclear power facility identification and coding management system, characterized in that: include: The middle layer code mapping module is used to uniformly map identification codes from different sources into a standardized format; Incremental code synchronization module, used to ensure real-time propagation and consistency maintenance of code updates between different systems; A progressive migration strategy module, which is used to split large-scale coding system migration into multiple independently verifiable small steps, while supporting the parallel operation of the old and new coding systems; A mixed reality-based migration process visualization module is used to map the abstract code migration process into three-dimensional space, providing operations and maintenance personnel with intuitive migration status monitoring and understanding capabilities; The abnormal pattern recognition and interactive intervention module is used to help operation and maintenance personnel promptly identify and resolve potential problems during the migration process.

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