A communication device configuration management system based on a distributed backup mechanism

Abstract

This invention relates to the field of power communication equipment management technology, specifically providing a communication equipment configuration management system based on a distributed backup mechanism. The system includes a distributed configuration agent unit that decomposes configuration change flows into atomic configuration objects carrying dependency descriptors; a consistency verification engine that binds the generated root node hash value to the network topology snapshot fingerprint to generate a spatiotemporal consistency verification tag; an incremental backup and version control module that stores configuration differences based on the spatiotemporal consistency verification tag and constructs a version-topology state association graph; a security audit and access control module that introduces a shadow pre-playback mechanism to simulate configuration distribution; and a configuration recovery and synchronization engine that compares the current network topology information with the topology snapshot fingerprint. If they do not match, adaptive reconstruction processing is performed, dependencies are recalculated, and a derived configuration version is generated for distribution recovery. This invention achieves coupled verification of configuration data and network topology state, as well as adaptive environmental recovery.

Description

Technical Field

[0001] This invention relates to the field of power communication equipment management technology, specifically to a communication equipment configuration management system based on a distributed backup mechanism. Background Technology

[0002] With the continuous development of smart grid construction, power communication networks, as a key infrastructure supporting the safe and stable operation of the power grid, are becoming increasingly large in scale and complex in network structure. Configuration data of communication equipment (including routing policies, security policies, interface parameters, etc.) is crucial for ensuring the normal operation of the network. Existing communication equipment configuration management typically adopts a centralized network management model, using a centralized server to collect, store, and distribute configuration data for all network devices. This model is gradually encountering numerous technical bottlenecks when facing large-scale, high-concurrency, and highly heterogeneous power communication networks.

[0003] Centralized management presents a serious single point of failure risk. If the central management server experiences a hardware failure or is attacked by a network, resulting in service interruption, it will directly affect access to and recovery of configuration data across the entire network, thus threatening the continuity of power grid operations. Existing backup mechanisms lack sufficient real-time and consistency guarantees. Traditional backup methods typically employ periodic full backups, which have long backup cycles and involve massive amounts of data. Data changes occurring between backup windows are highly susceptible to loss. Backup data lacks automated integrity verification mechanisms during transmission and storage, making it difficult to prevent data tampering or damage due to storage media failures, rendering backup data unusable. Configuration recovery mechanisms lack intelligent collaboration. When a network failure requires configuration recovery, traditional methods often directly issue a full configuration without considering device dependencies and topology relationships, easily causing network instability and even secondary failures. Existing configuration management lacks fine-grained security auditing and closed-loop feedback mechanisms, making operational behavior difficult to trace and security risks difficult to predict. Summary of the Invention

[0004] This invention overcomes the shortcomings of existing technologies and proposes a communication equipment configuration management system based on a distributed backup mechanism. Addressing the problems of high single-point failure risk, weak data consistency assurance, insufficient recovery capabilities, and lack of security auditing in existing centralized configuration management systems, particularly the "recovery equals failure" problem caused by the separation of configuration data and network environment state, the system constructs a closed-loop management system of "edge semantic awareness - coupled verification - associated storage - pre-simulation decision - adaptive recovery". The system deploys a distributed configuration agent unit with a built-in semantic parser on the communication equipment side to capture configuration changes in real time and parse them into atomic configuration objects carrying dependencies. The configuration data stream is uploaded to the consistency verification engine to construct a semantic-topology coupled hash tree, generating spatiotemporal consistency verification tags bound to the network topology state. The incremental backup and version control module stores configuration differences based on the spatiotemporal consistency verification tags and constructs a version-topology state association graph. The security audit and access control module introduces a shadow pre-simulation mechanism to perform digital twin simulation before operation is issued. In the event of a failure, the configuration recovery and synchronization engine collaboratively generates a derived configuration version adapted to the new environment based on the graph and real-time topology and performs recovery. The system's innovation lies in breaking down the isolation between data management and network status. Through a deep collaborative mechanism of "semantic-topology coupling verification" and "pre-determined decision-making," it solves the environmental adaptability problem in configuration recovery, enhances the system's self-healing ability and robustness, and provides a solid guarantee for the stable operation of power communication networks.

[0005] The technical solution adopted by this invention is as follows: This solution provides a communication device configuration management system based on a distributed backup mechanism, including a distributed configuration agent unit, a consistency verification engine, an incremental backup and version control module, a security audit and access control module, and a configuration recovery and synchronization engine.

[0006] The distributed configuration proxy unit is deployed on the local device or near-field edge computing node of the communication device. The communication device generates a device configuration file, which includes device network parameters, routing table entries, and service policies. The distributed configuration proxy unit has a built-in configuration semantic parser that monitors changes to the device configuration file in real time. When the device configuration file changes, a configuration change stream is generated, which describes the sequence of change operations and data content. The distributed configuration proxy unit parses the configuration content in the configuration change stream and decomposes the configuration content into atomic configuration objects with independent business meanings according to the business semantics of the configuration content. Each atomic configuration object corresponds to a configuration item and carries a dependency descriptor. The distributed configuration proxy unit performs a local pre-backup operation and sends the configuration change stream to the consistency verification engine. The configuration change stream contains atomic configuration objects and dependency descriptors.

[0007] The consistency verification engine receives configuration change streams uploaded by the distributed configuration agent unit; obtains the network topology information of the current communication network, and generates a network topology snapshot fingerprint based on the network topology information; constructs a semantic-topology coupled hash tree based on the service type and network layer of the atomic configuration objects, using the hash value of the atomic configuration objects as leaf nodes, and aggregating not only the hashes of child nodes but also the network topology link state weights corresponding to that layer for non-leaf nodes, and generating a root node hash value; binds the root node hash value with the network topology snapshot fingerprint at the current moment to generate a spatiotemporal consistency verification label, which serves as the data integrity verification fingerprint for this configuration change; performs integrity verification on the atomic configuration objects and generates verification results; the consistency verification engine marks the verified atomic configuration objects as verified configuration data blocks, sends the verified configuration data blocks and their corresponding spatiotemporal consistency verification labels to the incremental backup and version control module, and feeds back the verification results to the distributed configuration agent unit.

[0008] The incremental backup and version control module receives and stores verified configuration data blocks and their corresponding spatiotemporal consistency verification tags from the consistency verification engine; it stores the verified configuration data blocks as configuration versions; it analyzes the differences between adjacent configuration versions using a differential comparison algorithm, extracts the difference features, and calculates the network health score based on the difference features and the network topology status recorded in the spatiotemporal consistency verification tags; it constructs a version-topology status association graph that records the parent-child relationships between each configuration version and the network health score; it generates version index information to locate the physical storage location of each configuration version based on the version-topology status association graph, and synchronizes the version index information to the configuration recovery and synchronization engine; and it uses a distributed storage cluster to achieve redundant storage and load balancing of verified configuration data blocks.

[0009] The security audit and access control module receives configuration access, modification, backup, and recovery requests from external operation and maintenance terminals or system monitoring modules, and performs identity authentication and permission verification on all requests. It introduces a shadow simulation mechanism, sending virtual recovery commands to the configuration recovery and synchronization engine. Using digital twin technology, it simulates the network state after configuration distribution in memory, generating simulation results. If the simulation results indicate that network segmentation or critical node disconnection will occur, the security audit and access control module automatically generates blocking commands to intercept the operation, or generates correction suggestions and feeds them back to the operation and maintenance terminal. When abnormal operations are detected, the security audit and access control module generates risk blocking commands to suspend related services and sends them to the consistency verification engine.

[0010] The configuration recovery and synchronization engine receives recovery requests, including the target device identifier and the desired recovery time. Based on the recovery request, it queries the synchronized version index information and extracts the corresponding target configuration data block and its spatiotemporal consistency verification tag from the incremental backup and version control module. The consistency verification engine verifies the target configuration data block to ensure its data integrity. After successful data integrity verification, it obtains the network topology information of the current communication network and compares it with the topology snapshot fingerprint in the spatiotemporal consistency verification tag. If they do not match, it performs adaptive reconstruction processing, extracts atomic configuration objects from the target configuration data block, recalculates dependencies based on the current real-time topology, automatically corrects configuration parameters, and generates a derived configuration version adapted to the new network. Based on the network topology information, it calculates the optimal transmission path from the source device to the target device and generates a configuration distribution sequence, including the distribution order and path. Based on the configuration distribution sequence, it assembles the target configuration data block or derived configuration version into a complete configuration file and pushes it to the distributed configuration agent unit of the target device, where the distributed configuration agent unit performs the recovery operation.

[0011] Furthermore, the system constructs a collaborative efficiency mechanism based on shadow pre-simulation and adaptive reconstruction: During shadow pre-simulation, the security audit and access control module simulates the network state after configuration distribution, generates a network state snapshot, and sends this snapshot to the consistency verification engine. The consistency verification engine verifies the feasibility of the configuration logic based on the network state snapshot, generates verification results, and feeds these results back to the configuration recovery and synchronization engine. When generating derived configuration versions, the configuration recovery and synchronization engine calls the incremental backup and version control module in real time to update the version-topology state association graph, forming a closed-loop collaboration of "pre-simulation-verification-reconstruction-storage." This ensures that every recovery operation is pre-verified and adapted to the current network environment, achieving a high degree of adaptability of the system to dynamic network environments.

[0012] Furthermore, the security audit and access control module constructs an audit-driven dynamic policy adjustment mechanism: The module records operational behaviors to generate an audit log chain and is configured with a behavior analysis engine to continuously analyze the operation sequences, time characteristics, and permission combination patterns in the audit log chain. When the frequency of configuration changes, recovery request patterns, or abnormal operation attempts of a specific device node are detected to meet preset risk escalation conditions, the behavior analysis engine generates a dynamic security policy, including instructions to upgrade the verification strength of the consistency verification engine, instructions to add redundant copies to the incremental backup and version control module, and instructions to refresh the local cache of the distributed configuration agent unit. Simultaneously with the generation of the dynamic security policy, a hash value is calculated from the content of the dynamic security policy and appended to the end of the audit log chain, ensuring the traceability of policy execution. After executing the dynamic security policy, the consistency verification engine, incremental backup and version control module, and distributed configuration agent unit encapsulate the execution status into actual execution feedback and send it back to the security audit and access control module. The security audit and access control module determines the expected effect of the policy based on the instructions of the dynamic security policy. By comparing the expected effect of the policy with the actual execution feedback, it automatically adjusts the risk escalation conditions and the generation logic of the dynamic security policy, realizing the self-evolution of the security policy and the risk joint defense collaboration between modules.

[0013] Furthermore, the configuration recovery and synchronization engine establishes a topology-aware intelligent recovery decision-making mechanism: The engine has a built-in network status awareness interface to obtain the current communication network's topology connections, link load status, and node online status in real time. When a recovery request is received, the engine determines the target configuration's dependent version sequence based on the version-topology status association graph, calculates the optimal distribution path based on network topology information, and sorts the optimal distribution paths according to link load and node reachability, prioritizing nodes with low load and stable paths to form the distribution sequence. During the distribution process, if it detects in real time that the load of a link in the path exceeds a preset threshold or a node is offline, dynamic path reconstruction is triggered, and the distribution path is recalculated based on the remaining online nodes in the network topology information. Path change records generated during dynamic path reconstruction are sent to the security audit and access control module as a supplement to the audit log; network status snapshot information in the path change records is fed back to the incremental backup and version control module to update the version index information of the corresponding version in the version-topology status association graph, enhancing the accuracy of future recovery decisions. This mechanism enables the configuration recovery and synchronization engine, security audit and access control module, and incremental backup and version control module to work collaboratively in a dynamic network environment, thereby improving the system's recovery success rate and robustness under complex network conditions.

[0014] Furthermore, the consistency verification engine introduces a time-sliding window mechanism during the configuration change flow process. It performs batch verification on multiple atomic configuration objects within the time-sliding window and calculates the access popularity of each atomic configuration object within the window. If the access popularity of an atomic configuration object exceeds a preset threshold, the atomic configuration object is marked as hot data, and a hot data priority prefetch instruction is generated and sent to the configuration recovery and synchronization engine.

[0015] Furthermore, the method for extracting configuration difference features by the incremental backup and version control module is as follows: Define a logical structure model for the configuration data, and parse the received and verified configuration data blocks into a set of logical nodes based on atomic configuration objects; take the currently received configuration version as the new version, compare it with the previously stored configuration version, and retain only the changed atomic configuration objects and their operation types to form an incremental update record; encapsulate the incremental update record, the index information of the previous configuration version, and the spatiotemporal consistency verification tag corresponding to the current configuration version into a backup block for storage; update the version-topology state association graph based on the storage parent-child relationship to form a directed acyclic graph, which supports rollback to any historical version.

[0016] Furthermore, the security audit and access control module employs a role-based access control policy, assigning different sets of permissions to operations and maintenance personnel and system components. Audit logs are stored in a chained structure, with each log entry containing the hash value of the previous log entry, a summary of the current operation, and the operator's signature. The security audit and access control module is configured with an abnormal behavior detection model. If unauthorized access attempts are continuously detected or the frequency of configuration increases abnormally, an account lockout mechanism is automatically triggered, generating a high-risk alarm and forcing the consistency verification engine to suspend service.

[0017] Furthermore, during the recovery process, the configuration recovery and synchronization engine requests the spatiotemporal consistency verification tag of the target version from the consistency verification engine. It sequentially extracts incremental update records and verified configuration data blocks that the target version depends on from the incremental backup and version control module. Based on these configuration data blocks, it reconstructs the complete configuration file and calculates its hash value. This hash value is compared with the root node hash value in the spatiotemporal consistency verification tag. If they match, subsequent distribution proceeds; otherwise, the data is deemed corrupted, and an automatic rollback to the previous configuration version is attempted for recovery. During the distribution process, the configuration recovery and synchronization engine distributes the configuration step-by-step from higher-level devices to lower-level devices according to the network hierarchy of the network topology information, ensuring a smooth migration of network states.

[0018] Compared with the prior art, the beneficial effects of the present invention are:

[0019] (1) By deploying distributed configuration agent units on the communication equipment side, the load of configuration collection, semantic parsing and local pre-backup is distributed to the network edge, which effectively avoids the risk of the entire network configuration data becoming inaccessible due to the failure of the central management server, solves the single point of failure risk and performance bottleneck problem of centralized management, and improves the system throughput and response speed.

[0020] (2) A semantic-topology coupled hash tree is constructed using a consistency verification engine and a spatiotemporal consistency verification label bound to the network topology state is generated, providing an immutable integrity verification fingerprint for backup data; combined with incremental backup and version control modules, real-time storage and version evolution of configuration differences are realized, solving the problems of insufficient real-time and consistency guarantees of existing backup mechanisms and the ease with which backup data can be silently tampered with or damaged, ensuring the authenticity, reliability and traceability of stored data;

[0021] (3) By establishing a topology-aware intelligent recovery decision mechanism in the configuration recovery and synchronization engine, the optimal distribution path is calculated based on network topology information, and a shadow pre-simulation mechanism is introduced to perform digital twin simulation and adaptive reconstruction to generate derivative configuration versions. This achieves accurate, coordinated and smooth recovery of configuration, solves the problems of traditional recovery mechanisms lacking intelligent coordination and directly distributing full configurations which can easily cause network oscillations or secondary failures. In particular, it solves the problem of "recovery is failure" caused by the separation of configuration data and network environment status.

[0022] (4) By using the security audit and access control module to build a chain log and audit-driven dynamic policy adjustment mechanism, fine-grained auditing and proactive risk blocking of all operation behaviors are realized. The security policy is dynamically adjusted through the behavior analysis engine, which solves the problem that the existing configuration management lacks a closed-loop feedback mechanism, making it difficult to trace operation behaviors and predict security risks, and enhances the system's inherent security protection capabilities. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the overall architecture of a communication device configuration management system based on a distributed backup mechanism according to the present invention.

[0024] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. Detailed Implementation

[0025] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0026] Example 1:

[0027] Please see Figure 1 This embodiment presents a communication equipment configuration management system based on a distributed backup mechanism, applied to power communication networks, covering key nodes such as substation communication equipment, dispatch data network routers, and switches. The system includes a distributed configuration agent unit, a consistency verification engine, an incremental backup and version control module, a security audit and access control module, and a configuration recovery and synchronization engine.

[0028] The distributed configuration agent unit is deployed on the near-field edge computing nodes of the communication equipment. The communication equipment generates a device configuration file, containing network parameters, routing table entries, and service policies. The distributed configuration agent unit has a built-in configuration semantic parser that periodically reads the status of the device configuration file via the NETCONF protocol and uses a file system event notification mechanism to detect configuration changes in real time. When the device configuration file changes, a configuration change stream is generated, describing the sequence of change operations and data content. Based on a pre-defined YANG model tree, the configuration semantic parser parses the configuration content in the configuration change stream into a structured abstract syntax tree. Traversing the abstract syntax tree, it decomposes the configuration content into a collection of atomic configuration objects with independent business meanings based on the business semantics of the configuration content. Each atomic configuration object Defined as a quintuple:

[0029] ;

[0030] in, A globally unique identifier for an object. For business type, For specific configuration instruction sets, For dependency descriptors, This is the change timestamp. After performing a local encrypted pre-backup, the distributed configuration broker unit uploads the configuration change stream to the consistency verification engine via a TLS secure channel. The configuration change stream contains atomic configuration objects and dependency descriptors.

[0031] The consistency verification engine is responsible for the core verification of data integrity and state consistency. It maintains a real-time updated network topology knowledge base and constructs the current topology graph through LLDP link layer discovery protocol parsing. When a configuration change stream is received, the system obtains the network topology information of the current communication network and generates a network topology snapshot fingerprint based on this information. A semantic-topology coupled hash tree is constructed based on the service type and network layer of the atomic configuration object. The hash value of the atomic configuration object is used as the leaf node. Non-leaf nodes aggregate not only the hashes of their child nodes but also the network topology link state weights corresponding to that layer, generating a root node hash value. The root node hash value is bound to the network topology snapshot fingerprint at the current moment to generate a spatiotemporal consistency verification label, which serves as the data integrity verification fingerprint for this configuration change. The atomic configuration object undergoes integrity verification, generating a verification result. The consistency verification engine marks the verified atomic configuration objects as verified configuration data blocks, sends the verified configuration data blocks and their corresponding spatiotemporal consistency verification labels to the incremental backup and version control module, and feeds back the verification result to the distributed configuration agent unit.

[0032] The incremental backup and version control module receives and stores verified configuration data blocks and their corresponding spatiotemporal consistency verification tags from the consistency verification engine; it stores the verified configuration data blocks as configuration versions; it analyzes the differences between adjacent configuration versions using a differential comparison algorithm, extracts the difference features, and calculates the network health score based on the difference features and the network topology status recorded in the spatiotemporal consistency verification tags; it constructs a version-topology status association graph that records the parent-child relationships between each configuration version and the network health score; it generates version index information to locate the physical storage location of each configuration version based on the version-topology status association graph, and synchronizes the version index information to the configuration recovery and synchronization engine; it uses a distributed storage cluster to achieve redundant storage and load balancing of verified configuration data blocks. The version-topology status association graph is a directed acyclic graph, where nodes represent configuration versions, edges represent incremental differences, and the node attributes are bound to the network health score and network topology snapshot fingerprint, supporting accurate backtracking of any historical version.

[0033] The security audit and access control module receives configuration access, modification, backup, and recovery requests from external operation and maintenance terminals or system monitoring modules, and performs identity authentication and permission verification on all requests. It constructs an RBAC-based permission model, introduces a shadow pre-simulation mechanism, sends virtual recovery commands to the configuration recovery and synchronization engine, and uses digital twin technology to simulate the network state after configuration distribution in memory, generating pre-simulation results. If the pre-simulation results show network connectivity failure, the operation is automatically blocked. When abnormal operations are detected, the security audit and access control module generates a risk blocking command to suspend related services and sends it to the consistency verification engine. Simultaneously, the security audit and access control module continuously builds chained audit logs, analyzes operational behavior characteristics in real time, and dynamically adjusts system security policies.

[0034] The configuration recovery and synchronization engine has a built-in network status awareness interface to obtain network topology connections and link load in real time. It receives recovery requests, including the target device identifier and the desired recovery time; based on the recovery request, it queries the synchronized version index information and extracts the corresponding target configuration data block and its spatiotemporal consistency verification tag from the incremental backup and version control module; the consistency verification engine verifies the target configuration data block to check its data integrity; after the data integrity verification passes, it obtains the current communication network topology information. and the topological snapshot fingerprint in the spatiotemporal consistency verification label. A comparison is performed to determine environmental differences. If differences exist, adaptive reconstruction is executed. Atomic configuration objects are extracted from the target configuration data block, and dependencies are recalculated based on the current real-time topology. Configuration parameters are automatically corrected, and a derived configuration version adapted to the current network environment is generated. Based on the network topology information, the optimal transmission path from the source device to the target device is calculated, and a configuration delivery sequence is generated, including the delivery order and path. Based on the configuration delivery sequence, the target configuration data block or derived configuration version is assembled into a complete configuration file and pushed to the distributed configuration agent unit of the target device, where the distributed configuration agent unit performs the recovery operation.

[0035] Example 2:

[0036] The specific steps for the consistency verification engine to construct a semantic-topology coupled hash tree and generate spatiotemporal consistency verification labels include:

[0037] Step S201: Preprocessing and vectorization of atomic configuration objects.

[0038] The consistency verification engine receives configuration change streams. ,in, This refers to device metadata. For atomic configuration objects... Perform serialization processing to generate normalized data blocks. The processing removes non-semantic interference characters, retaining only the core instruction logic.

[0039] Step S202: Construct a semantic-topologically coupled hash tree.

[0040] Traditional Merkle trees focus only on the data itself. This invention introduces network topology state weights to construct a coupled hash tree.

[0041] Leaf node generation: Each atomic configuration object is calculated using the SM3 national cryptographic hash algorithm. digest hash value :

[0042] ;

[0043] in, For the first The leaf node hash value of an atomic configuration object. This indicates the SM3 cryptographic hash algorithm operation. Configure objects for atoms Serialized normalized data blocks, This represents the byte-level string concatenation operator. This is a hash value for the dependency descriptor, ensuring that changes to dependencies result in changes to the object fingerprint.

[0044] Non-leaf node aggregation: Let a non-leaf node... Corresponding network layer identifier ,in This indicates the specific layer number for the core layer, aggregation layer, and access layer. Its hash value... The calculation formula is:

[0045] ;

[0046] in, The hash value of the current non-leaf node. and These are the hash values ​​of the left and right child nodes, respectively. For the current level The corresponding network topology link state weight vector.

[0047] The weight vector is defined as:

[0048] ;

[0049] in, hierarchical The link state weight scalar, hierarchical The set of directed links below, Indicates from node To the node A single directed link, For link Real-time bandwidth load rate, For link A reliability score is calculated based on bit error rate and latency. This design deeply binds the configuration fingerprint to the link quality of the network topology at the time.

[0050] Step S203: Generate spatiotemporal consistency verification tags.

[0051] The hash value of the root node of the hash tree This represents the semantic integrity of the configuration data. The consistency verification engine also obtains the network topology snapshot fingerprint at the current moment. The fingerprint is based on the current topology. Structural feature generation:

[0052] ;

[0053] in, Topology graph Serialized byte stream of the adjacency matrix, Topology graph The set of all network nodes in the network. For set A single node in For nodes The device's unique identifier.

[0054] Finally, the spatiotemporal consistency verification label Defined as a set of quintuples:

[0055] ;

[0056] in, A unique identifier for the communication device that initiates the configuration change. The system's precise timestamp when the change occurred. The root node hash value of the semantic-topologically coupled hash tree. For network topology snapshot fingerprint, The consistency verification engine uses its own private key to digitally sign the above four fields, generating a signature value. The spatiotemporal consistency verification tag is stored as metadata along with the configuration data block, and any tampering with the configuration data can be detected in subsequent verifications.

[0057] Step S204: Heat perception and batch verification.

[0058] Introducing a time sliding window Count the frequency of access to atomic configuration objects within the window. Popularity rating The calculation model is as follows:

[0059] ;

[0060] in, Configure objects for atoms Overall popularity score In the sliding window The cumulative number of times the content has been accessed. Quantify the business importance level to which this object belongs. The time interval between the current moment and the last time the object was accessed. It represents the reciprocal of the time interval (i.e., the closer the time, the larger the reciprocal). , , The preset weighting coefficients for the system satisfy... .like If the threshold is exceeded, the consistency verification engine sends a hot data prefetching instruction to the configuration recovery and synchronization engine to load the hot configuration object into the cache.

[0061] Example 3:

[0062] This embodiment elaborates on the storage and graph construction mechanism of the incremental backup and version control module.

[0063] Difference feature extraction algorithm:

[0064] This invention employs a semantic tree-based difference extraction algorithm. Assuming the previous version... The configuration logic tree is Current version The configuration logic tree is The specific traversal of the algorithm is as follows:

[0065] for any node in ,exist Find the corresponding node with the same path in the middle. .

[0066] like If it does not exist, generate a difference vector. .in, For nodes Configure the absolute path index in the logical tree. An identifier indicating the new operation type. For nodes The specific configuration details included.

[0067] like Existence and Generate difference vector .in, An identifier indicating the type of modification operation. The corresponding node in the previous version Includes historical configuration content.

[0068] like does not exist Existence, generate difference vector .in, An identifier indicating the type of delete operation.

[0069] The final stored incremental backup block encapsulates a set of difference vectors and their corresponding spatiotemporal consistency verification tags. .

[0070] Version - Construction of Topological State Association Graph:

[0071] Incremental backup and version control modules construct directed acyclic graphs .

[0072] Each version node The attribute set is defined as follows:

[0073] ;

[0074] in, Represents version node The complete attribute descriptor, A globally unique version number is assigned to this configuration version. This is the spatiotemporal consistency verification tag associated with this version. Assess network health rating. This is a set of physical storage address pointers for the incremental backup data of this version within the distributed storage cluster. This generates a list of parent version node identifiers that this version directly depends on.

[0075] The following is calculated based on the topology state weights corresponding to this version:

[0076] ;

[0077] in, This represents the absolute value of the total number of links in the current network topology. It is a collection of all network links. For link load rate, Score the link reliability.

[0078] When a configuration rollback occurs, the system follows... By backtracking the edges and performing reverse operations based on the difference vector, the complete configuration data of the target version is reconstructed.

[0079] Example 4:

[0080] This embodiment describes the deep protection logic of the security audit and access control module.

[0081] Shadow pre-operation mechanism: Before executing high-risk operations, the security audit and access control module intercepts the operation commands and sends virtual recovery commands to the configuration recovery and synchronization engine. The configuration recovery and synchronization engine builds a lightweight digital twin network model in memory. Load the current network topology snapshot and simulate configuration deployment in the sandbox environment. During the simulation, the configuration recovery and synchronization engine monitors connectivity and convergence metrics. If the simulation results show that the reachability matrix of key nodes... If a disconnection occurs, the module automatically generates a blocking command, intercepts the operation, and returns correction suggestions to the maintenance terminal.

[0082] Audit-driven dynamic policy adjustment: The security audit and access control module builds a behavior analysis engine to perform real-time mining of audit log chains. It defines behavioral feature vectors for operations and maintenance personnel. The Isolation Forest algorithm was used to calculate the behavioral anomaly score. :

[0083] ;

[0084] in, Quantify and score the degree of abnormality of the current operational behavior vector. The feature input sample represents the current operation behavior. For the sample Average path length across all isolated trees This is the expected value of the sample path length. The total number of training samples, Given the total number of samples The normalization factor for the average path length of a binary search tree at time (used for...) (Standardize the process).

[0085] when When the value approaches 1, it is considered abnormal behavior. Upon detecting the anomaly, the security audit and access control module generates a dynamic security policy. The instruction consistency verification engine uses the SM4 encryption algorithm for two-factor hash verification, and the instruction incremental backup and version control module increases the number of copies of relevant configuration data to [number missing]. After the policy is executed, each module encapsulates the execution status into a feedback message and sends it back. The security audit and access control module automatically adjusts the risk threshold based on the feedback, realizing the adaptive evolution of the security policy.

[0086] Example 5:

[0087] This embodiment details the adaptive recovery process after changes in the network environment.

[0088] Step S401: Topology comparison and environment perception.

[0089] The configuration recovery and synchronization engine receives recovery requests and extracts the spatiotemporal consistency verification tags of the target version. Topological snapshot fingerprint Call the network status awareness interface to obtain the current real-time network topology. Calculate the current topological fingerprint Compare fingerprints, if The system determines that the network environment has changed and initiates an adaptive reconstruction process.

[0090] Step S402: Adaptive reconstruction processing.

[0091] Extract the set of atomic configuration objects from the target configuration data block. For each atomic configuration object, parse its... If the dependency involves a broken link, based on Execution path recalculation. Assume the original configured path is... Using Dijkstra's algorithm in Alternative Paths for Computation :

[0092] ;

[0093] in, The calculated optimal alternative distribution path result, This is the set of all reachable paths from the source node to the target node in the current network topology. For set Any candidate path in the list, To construct a path A single link, For link The overall transmission overhead weight value, This means finding the path that minimizes the sum of subsequent costs. Configuration recovery and synchronization engine updates atomic configuration objects. Generate a derivative configuration version .

[0094] Step S403: Ordered distribution of topology-aware data.

[0095] Configuration recovery and synchronization engine based on Calculate the optimal distribution path sequence. Based on the network hierarchy—core layer, aggregation layer, and access layer—determine the distribution priority order for each device. During the distribution process, if congestion is detected on a path in real time, dynamic path reconstruction is triggered, selecting an alternative path to transmit the configuration data packet. After configuration distribution is complete, the distributed configuration agent unit performs configuration activation and feeds back the final running status to the consistency verification engine for secondary verification, ensuring successful recovery.

[0096] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A communication device configuration management system based on a distributed backup mechanism, characterized in that, It includes a distributed configuration agent unit, a consistency verification engine, an incremental backup and version control module, a security audit and access control module, and a configuration recovery and synchronization engine. The distributed configuration agent unit has a built-in configuration semantic parser, which generates a configuration change stream when a change in the device configuration file is detected, and decomposes the configuration content in the configuration change stream into atomic configuration objects. The consistency verification engine receives the configuration change stream, obtains the network topology information of the current communication network, generates a network topology snapshot fingerprint, constructs a semantic-topology coupled hash tree based on atomic configuration objects to generate a root node hash value, binds the root node hash value with the network topology snapshot fingerprint to generate a spatiotemporal consistency verification label; The incremental backup and version control module receives atomic configuration objects and spatiotemporal consistency verification tags, extracts difference features using a differential comparison algorithm, constructs a version-topology state association graph, and generates version index information. The security audit and access control module introduces a shadow pre-simulation mechanism, using digital twin technology to simulate and generate pre-simulation results. The configuration recovery and synchronization engine extracts target configuration data blocks and spatiotemporal consistency verification tags based on the version index information, compares the current network topology information with the network topology snapshot fingerprint, and if they do not match, performs adaptive reconstruction processing to generate a derived configuration version and sends it to the distributed configuration agent unit to perform recovery operations. The consistency verification engine uses the hash value of the atomic configuration object as the leaf node of the hash tree; the non-leaf nodes of the hash tree aggregate the hash values ​​of their corresponding child nodes and the network topology link state weights corresponding to the current network level, and recursively calculate the root node hash value. When performing adaptive refactoring, the configuration recovery and synchronization engine extracts atomic configuration objects from the target configuration data block, recalculates dependencies based on the current real-time topology, updates the atomic configuration objects, and generates a derived configuration version adapted to the current network environment.

2. The communication equipment configuration management system based on a distributed backup mechanism according to claim 1, characterized in that: The distributed configuration proxy unit parses the configuration content into an abstract syntax tree, and traverses the abstract syntax tree to decompose atomic configuration objects.

3. The communication equipment configuration management system based on a distributed backup mechanism according to claim 2, characterized in that: The incremental backup and version control module calculates the network health score based on the network topology status in the difference features and spatiotemporal consistency verification tags; it constructs a version-topology status association graph in the form of a directed acyclic graph, with the stored set of atomic configuration objects as nodes and the difference features as edges.

4. The communication equipment configuration management system based on a distributed backup mechanism according to claim 1, characterized in that: If the simulation results show that network connectivity is compromised, the security audit and access control module will automatically block the operation. When an abnormal operation is detected, the security audit and access control module will generate a risk blocking command to suspend the relevant service and send it to the consistency verification engine.

5. The communication equipment configuration management system based on a distributed backup mechanism according to claim 1, characterized in that: The configuration recovery and synchronization engine calculates the optimal transmission path based on the network hierarchy of the network topology information, generates a configuration distribution sequence, and distributes the configuration files level by level from higher-level devices to lower-level devices.

6. The communication equipment configuration management system based on a distributed backup mechanism according to claim 4, characterized in that: The security audit and access control module constructs an audit log chain. When an operation is detected that meets the risk escalation conditions, a dynamic security policy is generated, and the hash value of the dynamic security policy is appended to the end of the audit log chain.

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