Power concentrator operation safety guarantee method and system based on fault-tolerant mechanism

Abstract

The application discloses a power concentrator operation safety guarantee method and system based on a fault-tolerant mechanism, relates to the technical field of power safety, and comprises the following steps: monitoring each module of a power concentrator in real time, and constructing a concentrator monitoring sequence set; performing operation safety detection on the power concentrator according to the concentrator monitoring sequence set, and obtaining a concentrator detection atlas; performing self-adaptive isolation on the power concentrator according to the concentrator detection atlas, and establishing a concentrator isolation layer; performing dynamic recovery adjustment on the concentrator isolation layer based on a fault-tolerant recovery mechanism, and obtaining a recovery control instruction; and performing operation reconstruction management on the power concentrator based on the recovery control instruction. The application solves the technical problem that the power concentrator lacks effective real-time monitoring and fault processing in the prior art, leading to insufficient operation safety, and achieves the technical effect of improving the operation safety and reliability of the power concentrator.

Description

Technical Field

[0001] This invention relates to the field of power safety technology, specifically to a method and system for ensuring the safe operation of power concentrators based on fault-tolerant mechanisms. Background Technology

[0002] As a crucial device in power distribution automation and electricity consumption information collection systems, power concentrators need to handle various data acquisition, communication, and control tasks during long-term operation. Due to the complex operating environment, abnormal fluctuations, malfunctions, or communication interruptions may occur in the various functional modules during task execution. Without effective real-time monitoring and fault handling mechanisms, it is difficult to detect the source of anomalies in a timely manner, and the fault location and isolation process is delayed, resulting in insufficient operational safety. Summary of the Invention

[0003] This application provides a method and system for ensuring the operational safety of power concentrators based on a fault-tolerant mechanism, which is used to address the technical problem of insufficient operational safety in existing power concentrators due to the lack of effective real-time monitoring and fault handling.

[0004] In view of the above problems, this application provides a method and system for ensuring the safe operation of power concentrators based on fault tolerance mechanisms.

[0005] The first aspect of this application provides a method for ensuring the operational safety of power concentrators based on a fault-tolerant mechanism, the method comprising:

[0006] Real-time monitoring of each module of the power concentrator is performed to construct a concentrator monitoring sequence set; operational safety testing of the power concentrator is conducted based on the concentrator monitoring sequence set to obtain a concentrator detection map; adaptive isolation of the power concentrator is performed based on the concentrator detection map to establish a concentrator isolation layer; dynamic recovery adjustment of the concentrator isolation layer is performed based on a fault-tolerant recovery mechanism to obtain recovery control commands; and operational reconfiguration management of the power concentrator is performed based on the recovery control commands.

[0007] A second aspect of this application provides a fault-tolerant power concentrator operation safety assurance system, the system comprising:

[0008] The system includes a real-time monitoring module for monitoring various modules of the power concentrator and constructing a concentrator monitoring sequence set; a safety detection module for performing operational safety detection on the power concentrator based on the concentrator monitoring sequence set and obtaining a concentrator detection map; an adaptive isolation module for adaptively isolating the power concentrator based on the concentrator detection map and establishing a concentrator isolation layer; an adjustment module for dynamically restoring and adjusting the concentrator isolation layer based on a fault-tolerant recovery mechanism and obtaining recovery control commands; and an operation reconfiguration management module for performing operation reconfiguration management on the power concentrator based on the recovery control commands.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] This application performs real-time monitoring of various modules of a power concentrator, constructing a concentrator monitoring sequence set; performs operational safety testing on the power concentrator based on the concentrator monitoring sequence set, obtaining a concentrator detection map; performs adaptive isolation of the power concentrator based on the concentrator detection map, establishing a concentrator isolation layer; dynamically restores and adjusts the concentrator isolation layer based on a fault-tolerant recovery mechanism, obtaining recovery control commands; and performs operational reconfiguration management of the power concentrator based on the recovery control commands. This invention solves the technical problem of insufficient operational safety in existing power concentrators due to the lack of effective real-time monitoring and fault handling. By constructing monitoring sequences, generating detection maps, and implementing adaptive isolation and fault-tolerant recovery, it achieves the technical effect of improving the operational safety and reliability of power concentrators. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A schematic diagram of the operation safety assurance method for power concentrators based on fault tolerance mechanism provided in the embodiments of this application;

[0013] Figure 2 A schematic diagram of the structure of a power concentrator operation safety assurance system based on a fault-tolerant mechanism provided in this application embodiment.

[0014] Figure labeling: Real-time monitoring module 11, safety detection module 12, adaptive isolation module 13, adjustment module 14, operation reconstruction management module 15. Detailed Implementation

[0015] This application provides a method and system for ensuring the operational safety of power concentrators based on a fault-tolerant mechanism. It addresses the technical problem of insufficient operational safety in existing power concentrators due to the lack of effective real-time monitoring and fault handling. By constructing monitoring sequences, generating detection maps, and implementing adaptive isolation and fault-tolerant recovery, it achieves the technical effect of improving the operational safety and reliability of power concentrators.

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0017] It should be noted that any variation of the terms "comprising" and "having" is intended to cover non-exclusive inclusion, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or modules that are not explicitly listed or that are inherent to such processes, methods, products, or devices.

[0018] Example 1, as Figure 1 As shown, this application provides a method for ensuring the operational safety of power concentrators based on a fault-tolerant mechanism, the method comprising:

[0019] Step S100: Perform real-time monitoring of each module of the power concentrator and construct a concentrator monitoring sequence set.

[0020] In this embodiment, when monitoring the various modules of the power concentrator in real time, multi-dimensional status information of the power concentrator during operation is first collected to form a power concentrator monitoring dataset. Subsequently, the power concentrator monitoring dataset is formatted, anomalies are removed, and validity is filtered to obtain a monitoring status dataset reflecting the operation of the power concentrator. Then, based on the functional attributes of different modules within the power concentrator, the monitoring status data is divided by module and structured, ultimately constructing a power concentrator monitoring sequence set composed of monitoring sequences from each module.

[0021] Furthermore, the method provided in the application embodiments, which involves real-time monitoring of each module of the power concentrator and constructing a concentrator monitoring sequence set, also includes:

[0022] The power concentrator is monitored in real time to obtain a concentrator monitoring dataset; the concentrator monitoring dataset is cleaned to obtain a monitoring status dataset; the monitoring status dataset is classified according to each module to obtain a concentrator monitoring sequence set, which includes monitoring sequences of each module.

[0023] In this embodiment, when monitoring a power concentrator in real time, the operating status of each functional module within the power concentrator is first continuously collected. The power concentrator includes a data acquisition module, a communication module, a processing and control module, a storage module, and a task scheduling module. The data acquisition module acquires operating parameters such as voltage, current, and energy from the electricity meter and field equipment; the communication module handles data interaction with the master station, upper-level management devices, or other terminals; the processing and control module processes the collected data and executes control logic; the storage module records operating logs, business data, and key status information; and the task scheduling module manages the unified scheduling and priority of various tasks. During real-time monitoring, multi-dimensional data collection is performed on the electrical quantities, communication quantities, task execution results, and resource usage of each module, and the data is organized chronologically to form a concentrator monitoring dataset covering the overall operating status of the power concentrator.

[0024] Next, data cleaning is performed on the concentrator monitoring dataset. Specifically, incomplete, abnormally formatted, or physically unreasonable data records in the concentrator monitoring dataset are removed through data format verification. The data format verification checks the content of each record according to the field structure requirements, removing records with severely missing fields, incorrect time information, or incorrect data units, and retaining data that meets the collection specifications, thus forming the monitoring status dataset.

[0025] Finally, the monitoring status dataset is categorized according to each module. In this process, data in the monitoring status dataset is assigned to corresponding module categories based on module attributes using module classification rules. Specifically, data related to the data acquisition module is organized into a data acquisition module monitoring sequence, data related to the communication module into a communication module monitoring sequence, data related to the processing and control module into a processing and control module monitoring sequence, data related to the storage module into a storage module monitoring sequence, and data related to the task scheduling module into a task scheduling module monitoring sequence. Each module monitoring sequence is arranged in chronological order to record the change trajectory of the operating parameters of a single module. The above module monitoring sequences are then aggregated to form the concentrator monitoring sequence set.

[0026] Step S200: Perform operational safety testing on the power concentrator based on the concentrator monitoring sequence set to obtain a concentrator detection map.

[0027] In this embodiment, when performing operational safety testing on the power concentrator based on the concentrator monitoring sequence set, firstly, big data collection on operational safety testing is conducted for each module to obtain a historical database of safety testing for each module. Then, the historical database of safety testing for each module is used to train the safety testing network for each module. Subsequently, the monitoring sequences of each module are input into the safety testing network of each module to obtain the safety testing results for each module. Finally, the above safety testing results are organized based on a knowledge graph to construct a concentrator testing graph.

[0028] Furthermore, in the method provided in the application embodiments, the operation safety detection of the power concentrator is performed based on the concentrator monitoring sequence set to obtain a concentrator detection map, which further includes:

[0029] Based on the above modules, big data collection for operational safety testing is performed to obtain a historical database of safety testing for each module; based on the historical database of safety testing for each module, a safety testing network for each module is trained; the monitoring sequences of each module are input into the safety testing network of each module to obtain the safety testing results of each module; based on the knowledge graph, the safety testing results of each module are processed to generate the concentrator detection graph.

[0030] In this embodiment, when collecting big data on operational safety monitoring for each module, long-term operational data is collected from the data acquisition module, communication module, processing and control module, storage module, and task scheduling module within the power concentrator to obtain historical monitoring data reflecting the operational behavior characteristics of the modules. Specifically, the operational safety monitoring big data collection comprehensively gathers information such as module operational anomalies, parameter fluctuations, communication jitter, task execution timeouts, and resource usage changes through continuous recording, and organizes it according to time sequence and event identifiers to form a data set with a large sample size and long time span. Based on the above-mentioned collected content, operational safety monitoring data related to the same module are archived separately to construct historical databases for data acquisition module safety monitoring, communication module safety monitoring, processing and control module safety monitoring, storage module safety monitoring, and task scheduling module safety monitoring.

[0031] Next, based on the security detection history databases of each module, the security detection networks for each module are trained. In this process, data for the target module is first selected from the historical security detection data of multiple modules to form the security detection history database for that module. Then, this database is divided into training and validation sets according to a predetermined ratio for model learning and performance verification. Next, the neural network parameters are trained using the training set, and the training effect is verified and adjusted using the validation set, enabling the network to accurately identify changes in the operational state of the module. Finally, a security detection network suitable for the target module is generated through the training and validation process.

[0032] Subsequently, the monitoring sequences of each module are input into the respective module's security detection network. In this process, monitoring sequences for the data acquisition module, communication module, processing control module, storage module, and task scheduling module are first extracted from the concentrator monitoring sequence set, maintaining the same feature format and temporal granularity as during the training phase. Then, each module's monitoring sequence is input into its corresponding module's security detection network, which analyzes the operational status of the input sequences. Each module's security detection network, based on its trained feature recognition capabilities, judges feature changes in the monitoring sequences and outputs the module's operational status results. Through these steps, security detection results for the data acquisition module, communication module, processing control module, storage module, and task scheduling module are obtained respectively.

[0033] Finally, the security detection results of each module are organized based on the knowledge graph. A graph mapping method is used to map the scattered security detection results of each module to the module nodes and relationships in the knowledge graph. Specifically, firstly, a knowledge graph describing the internal structure and business relationships of the power concentrator is constructed, with data acquisition modules, communication modules, processing and control modules, storage modules, and task scheduling modules as nodes in the graph, and data dependencies, control relationships, and impact paths between modules as connections in the graph. Then, using graph mapping, the security detection results of each module are mapped to the corresponding nodes in the knowledge graph according to the module identifier. Combined with the relationships between nodes, cross-module anomalies are organized and correlated to identify security risks that may arise from the linkage of multiple modules. Through the aggregation, correlation, and display of the security detection results of each module on the knowledge graph, a concentrator detection graph is formed.

[0034] Furthermore, in the method provided in the application embodiments, training the security detection network of each module based on the security detection history database of each module further includes:

[0035] Based on the security detection history databases of each module, extract the security detection history database of the first module; divide the security detection history database of the first module according to a predetermined ratio to obtain a first security detection training set and a first security detection verification set; train and verify the neural network based on the first security detection training set and the first security detection verification set to generate the security detection network of the first module.

[0036] In this embodiment of the application, the security detection history library corresponding to any target module is randomly selected from the security detection history libraries of each module as the first module security detection history library.

[0037] Next, the data in the first module's security detection history database will be divided according to a predetermined ratio. One part will be divided into the first security detection training set, and the other part will be divided into the first security detection verification set.

[0038] Subsequently, the neural network is trained and validated using the first security detection training set and the first security detection validation set. During this process, the neural network undergoes multiple rounds of iterative training using the first security detection training set as input data, allowing it to gradually learn the feature distribution and discrimination boundaries of the first module under different operating states. After training, the neural network is validated using the first security detection validation set. By comparing the consistency between the neural network's output and the operating state labels, appropriate adjustments are made to the network structure or key parameters until the network's recognition accuracy on the validation set reaches the expected requirements. Through the above training and validation process, a first-module security detection network suitable for the first module is finally obtained.

[0039] Furthermore, in the method provided in the application embodiments, obtaining the concentrator detection spectrum further includes:

[0040] Based on the concentrator detection map, the concentrator early warning mechanism is activated; based on the concentrator early warning mechanism, a concentrator early warning signal is generated.

[0041] In this embodiment, the concentrator early warning mechanism is first activated based on the concentrator detection map. Specifically, the overall operating status of the power concentrator is comprehensively identified based on the module operating status, the relationships between modules, and the operational risk chain formed by abnormal combinations of multiple modules presented in the concentrator detection map. When the concentrator detection map shows that any module has an abnormal operating status, or that multiple modules form an abnormal relationship that has a potential impact on the overall operation, the power concentrator is considered to have entered the early warning condition, thereby activating the concentrator early warning mechanism. The concentrator early warning mechanism is used to respond to abnormal states appearing in the concentrator detection map, and its function is to transform the risk information presented in the detection map into early warning criteria that can be used for subsequent processing.

[0042] Subsequently, based on the concentrator early warning mechanism, a concentrator early warning signal is generated. In this process, information such as the abnormal state of the module, the abnormal correlation between modules, and the possible scope of impact, which are the basis for activating the early warning mechanism, is organized and a concentrator early warning signal is formed according to the output rules of the early warning mechanism.

[0043] Step S300: Adaptively isolate the power concentrator according to the concentrator detection map and establish a concentrator isolation layer.

[0044] In this embodiment, when adaptively isolating a power concentrator based on a concentrator detection map, a multi-dimensional isolation decision analysis is first conducted based on the module operating status, anomaly relationships, and risk propagation paths presented in the concentrator detection map. This generates concentrator isolation strategies from the structural and operational levels of the power concentrator. The concentrator isolation strategies include module-level, thread-level, function-level, and communication-level isolation strategies, used to isolate and control modules, threads, functional units, or communication links that may affect operational safety at different granularities.

[0045] Then, the power concentrator is adaptively isolated according to the concentrator isolation strategy. That is, the corresponding objects of the power concentrator are adaptively isolated according to the concentrator isolation strategy. The modules or functions that need to be isolated are restricted, cut off, or run independently, thereby establishing a concentrator isolation layer.

[0046] Furthermore, in the method provided in the application embodiments, the adaptive isolation of the power concentrator based on the concentrator detection map to establish a concentrator isolation layer further includes:

[0047] Based on the concentrator detection map, a multi-dimensional isolation decision is made for the power concentrator to obtain a concentrator isolation strategy. The concentrator isolation strategy includes a module-level isolation strategy, a thread-level isolation strategy, a function-level isolation strategy, and a communication-level isolation strategy. Based on the concentrator isolation strategy, the power concentrator is adaptively isolated to establish the concentrator isolation layer.

[0048] In this embodiment, when making multi-dimensional isolation decisions for the power concentrator based on the concentrator detection map, a hierarchical analysis method is used to comprehensively analyze the operating status information in the concentrator detection map. This involves a layered analysis of the dependency structure, interface relationships, and business interaction paths between the data acquisition module, communication module, processing control module, storage module, and task scheduling module. Specifically, the hierarchical analysis first identifies data acquisition modules, communication modules, processing control modules, storage modules, or task scheduling modules exhibiting abnormal states in the concentrator detection map at the module level, isolating modules that may affect the operation of core functions. Then, at the thread level, based on the thread execution status, thread conflicts, and thread resource usage reflected in the concentrator detection map, thread nodes that may cause abnormal propagation are identified. Next, at the functional level, based on the function call chain, function execution anomalies, and the relationships between functions recorded in the map, functional units that need to be restricted or isolated are determined. Finally, at the communication level, considering link anomalies, communication interruptions, data loss, or link instability displayed in the map, communication links requiring isolation are identified. Through the above hierarchical analysis process, the following four isolation strategies are ultimately formed: module-level isolation strategy, thread-level isolation strategy, function-level isolation strategy, and communication-level isolation strategy. These four strategies together constitute the concentrator isolation strategy, which is used to guide the granularity and isolation objects of subsequent isolation operations.

[0049] Subsequently, when adaptively isolating the power concentrator according to the concentrator isolation strategy, targeted isolation processing is performed on the clearly defined isolation objects in the concentrator isolation strategy through strategy execution. In module-level isolation, the strategy execution method disables, switches, or allows independent operation of data acquisition modules, communication modules, processing control modules, storage modules, or task scheduling modules identified as having anomaly risks, establishing independent operating boundaries between them and other modules. In thread-level isolation, the strategy executes suspension, replacement, or migration operation control for abnormal threads to prevent thread anomalies from continuing to affect task scheduling and business processing. In function-level isolation, the strategy executes restricted calls, suspended execution, or independent processing control for functional units identified as anomaly trigger points, thereby blocking the impact of abnormal functions on other functional links. In communication-level isolation, the strategy executes temporary disconnection, channel switching, or transmission path reconstruction control for designated communication links to ensure that communication anomalies do not spread to other links. After completing the above isolation measures through strategy execution, the power concentrator forms a concentrator isolation layer with multiple isolation boundaries in its operating structure.

[0050] Step S400: Based on the fault-tolerant recovery mechanism, the concentrator isolation layer is dynamically restored and adjusted to obtain a recovery control command.

[0051] Furthermore, the method provided in the application embodiments also includes:

[0052] The fault-tolerant recovery mechanism includes a parameter recovery mechanism, a module hot restart mechanism, a redundant module switching mechanism, an automatic link reconstruction mechanism, an automatic data compensation mechanism, and a task rescheduling mechanism.

[0053] In this embodiment, when dynamically adjusting the concentrator isolation layer based on the fault-tolerant recovery mechanism, the operational status of objects in the isolated state within the concentrator isolation layer is first analyzed to determine their recovery conditions and paths. The fault-tolerant recovery mechanism includes a parameter recovery mechanism, a module hot restart mechanism, a redundant module switching mechanism, an automatic link reconstruction mechanism, an automatic data compensation mechanism, and a task rescheduling mechanism. Each mechanism corresponds to the recovery method for different types of isolated objects in the concentrator isolation layer. The mechanism includes several key components: a parameter recovery mechanism to restore critical operating parameters for objects whose functionality is unstable due to abnormal parameters; a module hot restart mechanism to perform a partial restart on modules that malfunction, restoring the module's internal execution environment to a runnable state; a redundant module switching mechanism to migrate services to preset redundant modules to maintain business continuity when the main module can no longer handle the business; an automatic link reconstruction mechanism to rebuild communication links that have experienced transmission interruptions or anomalies during isolation, restoring data interaction capabilities; an automatic data compensation mechanism to compensate for data loss during isolation, ensuring the integrity of the data sequence; and a task rescheduling mechanism to rearrange the task execution order when thread or function execution is blocked, restoring the task execution logic to a maintainable state. Based on these recovery methods, the isolated object is dynamically adjusted, and recovery control instructions are generated by combining the state change information during the recovery process.

[0054] Step S500: Perform operation reconfiguration management on the power concentrator based on the recovery control command.

[0055] In this embodiment, when managing the operation reconfiguration of the power concentrator based on recovery control instructions, the operational structure of the power concentrator after isolation is first structurally adjusted according to the recovery action type, target object, and execution order specified in the recovery control instructions. The recovery control instructions, serving as the basis for executing the results of the aforementioned fault-tolerant recovery mechanism, include module recovery operations, thread recovery operations, function recovery operations, and communication link recovery operations. During the operation reconfiguration management of the power concentrator, for the operational objects processed by the parameter recovery mechanism, module hot restart mechanism, redundant module switching mechanism, link automatic reconstruction mechanism, data automatic compensation mechanism, and task rescheduling mechanism, their operational states are reorganized according to the recovery control instructions, gradually restoring them to their normal operating structure. Specifically, modules that have completed parameter recovery or module hot restart are re-incorporated into the module operational structure according to the recovery control instructions; thread nodes that have completed task scheduling adjustments are restored to their execution positions in the task chain according to the recovery control instructions; functional units that have completed data compensation are restored to their logical relationships according to the recovery control instructions; and communication links that have completed link reconstruction are re-added to the communication path structure according to the recovery control instructions. By performing a step-by-step recovery operation on the aforementioned operating objects, the operating modules, operating threads, operating functions, and communication links of the power concentrator are reconstructed into a complete operating link structure after isolation processing, thereby completing the reconstruction of the operating structure.

[0056] In summary, the embodiments of this application have at least the following technical effects:

[0057] This application performs real-time monitoring of various modules of a power concentrator, constructing a concentrator monitoring sequence set; performs operational safety testing on the power concentrator based on the concentrator monitoring sequence set, obtaining a concentrator detection map; performs adaptive isolation of the power concentrator based on the concentrator detection map, establishing a concentrator isolation layer; dynamically restores and adjusts the concentrator isolation layer based on a fault-tolerant recovery mechanism, obtaining recovery control commands; and performs operational reconfiguration management of the power concentrator based on the recovery control commands. This invention solves the technical problem of insufficient operational safety in existing power concentrators due to the lack of effective real-time monitoring and fault handling. By constructing monitoring sequences, generating detection maps, and implementing adaptive isolation and fault-tolerant recovery, it achieves the technical effect of improving the operational safety and reliability of power concentrators.

[0058] Example 2 is based on the same inventive concept as the fault-tolerant mechanism-based power concentrator operation safety assurance method in the previous examples, such as... Figure 2 As shown, this application provides a power concentrator operation safety assurance system based on a fault-tolerant mechanism. The system and method embodiments in this application are based on the same inventive concept. The system includes:

[0059] The real-time monitoring module 11 is used to monitor each module of the power concentrator in real time and construct a concentrator monitoring sequence set; the safety detection module 12 is used to perform operational safety detection on the power concentrator according to the concentrator monitoring sequence set and obtain a concentrator detection map; the adaptive isolation module 13 is used to perform adaptive isolation on the power concentrator according to the concentrator detection map and establish a concentrator isolation layer; the adjustment module 14 is used to perform dynamic recovery adjustment on the concentrator isolation layer based on the fault-tolerant recovery mechanism and obtain recovery control commands; and the operation reconfiguration management module 15 is used to perform operation reconfiguration management on the power concentrator based on the recovery control commands.

[0060] Furthermore, the system is also used to implement the following functions:

[0061] The power concentrator is monitored in real time to obtain a concentrator monitoring dataset; the concentrator monitoring dataset is cleaned to obtain a monitoring status dataset; the monitoring status dataset is classified according to each module to obtain a concentrator monitoring sequence set, which includes monitoring sequences of each module.

[0062] Furthermore, the system is also used to implement the following functions:

[0063] Based on the above modules, big data collection for operational safety testing is performed to obtain a historical database of safety testing for each module; based on the historical database of safety testing for each module, a safety testing network for each module is trained; the monitoring sequences of each module are input into the safety testing network of each module to obtain the safety testing results of each module; based on the knowledge graph, the safety testing results of each module are processed to generate the concentrator detection graph.

[0064] Furthermore, the system is also used to implement the following functions:

[0065] Based on the security detection history databases of each module, extract the security detection history database of the first module; divide the security detection history database of the first module according to a predetermined ratio to obtain a first security detection training set and a first security detection verification set; train and verify the neural network based on the first security detection training set and the first security detection verification set to generate the security detection network of the first module.

[0066] Furthermore, the system is also used to implement the following functions:

[0067] Based on the concentrator detection map, a multi-dimensional isolation decision is made for the power concentrator to obtain a concentrator isolation strategy. The concentrator isolation strategy includes a module-level isolation strategy, a thread-level isolation strategy, a function-level isolation strategy, and a communication-level isolation strategy. Based on the concentrator isolation strategy, the power concentrator is adaptively isolated to establish the concentrator isolation layer.

[0068] Furthermore, the system is also used to implement the following functions:

[0069] The fault-tolerant recovery mechanism includes a parameter recovery mechanism, a module hot restart mechanism, a redundant module switching mechanism, an automatic link reconstruction mechanism, an automatic data compensation mechanism, and a task rescheduling mechanism.

[0070] Furthermore, the system is also used to implement the following functions:

[0071] Based on the concentrator detection map, the concentrator early warning mechanism is activated; based on the concentrator early warning mechanism, a concentrator early warning signal is generated.

[0072] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0073] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for ensuring the safe operation of power concentrators based on fault-tolerant mechanisms, characterized in that, The method includes: Real-time monitoring of each module of the power concentrator is performed to construct a concentrator monitoring sequence set; The power concentrator is subjected to operational safety testing based on the concentrator monitoring sequence set to obtain a concentrator testing map. Based on the concentrator detection map, the power concentrator is adaptively isolated to establish a concentrator isolation layer; Based on the fault-tolerant recovery mechanism, the concentrator isolation layer is dynamically restored and adjusted to obtain recovery control commands; The power concentrator is reconfigured based on the recovery control command. This includes real-time monitoring of each module of the power concentrator, constructing a concentrator monitoring sequence set, including: The power concentrator is monitored in real time to obtain a concentrator monitoring dataset; Data cleaning is performed on the concentrator monitoring dataset to obtain a monitoring status dataset. The monitoring status dataset is classified according to each module to obtain the concentrator monitoring sequence set, which includes the monitoring sequences of each module. Specifically, the operation safety of the power concentrator is tested based on the concentrator monitoring sequence set to obtain a concentrator detection map, including: Based on the aforementioned modules, big data collection for operational safety testing is performed to obtain a historical database of safety testing for each module. Based on the security detection history database of each module, train the security detection network of each module; The monitoring sequences of each module are input into the security detection network of each module to obtain the security detection results of each module. Based on the knowledge graph, the security detection results of each module are processed to generate the concentrator detection graph. Specifically, based on the security detection history database of each module, the security detection network of each module is trained, including: Based on the security detection history databases of each module, extract the security detection history database of the first module; The first module security detection history library is divided according to a predetermined ratio to obtain a first security detection training set and a first security detection verification set. The neural network is trained and verified based on the first security detection training set and the first security detection verification set to generate the first module security detection network. Specifically, adaptive isolation of the power concentrator is performed based on the concentrator detection map to establish a concentrator isolation layer, including: Based on the concentrator detection map, a multi-dimensional isolation decision is made on the power concentrator to obtain a concentrator isolation strategy. The concentrator isolation strategy includes a module-level isolation strategy, a thread-level isolation strategy, a function-level isolation strategy, and a communication-level isolation strategy. The power concentrator is adaptively isolated according to the concentrator isolation strategy, and the concentrator isolation layer is established. The fault-tolerant recovery mechanism includes a parameter recovery mechanism, a module hot restart mechanism, a redundant module switching mechanism, an automatic link reconstruction mechanism, an automatic data compensation mechanism, and a task rescheduling mechanism.

2. The method for ensuring the safe operation of power concentrators based on a fault-tolerant mechanism as described in claim 1, characterized in that, Obtain the concentrator detection spectrum, including: Based on the concentrator detection map, activate the concentrator early warning mechanism; Based on the concentrator early warning mechanism, a concentrator early warning signal is generated.

3. A power concentrator operation safety assurance system based on a fault-tolerant mechanism, characterized in that, The system is used to execute the power concentrator operation safety assurance method based on fault tolerance mechanism as described in any one of claims 1-2, and the system includes: The real-time monitoring module is used to monitor each module of the power concentrator in real time and build a concentrator monitoring sequence set; The safety detection module is used to perform operational safety detection on the power concentrator based on the concentrator monitoring sequence set and obtain the concentrator detection map; An adaptive isolation module is used to adaptively isolate the power concentrator based on the concentrator detection map and establish a concentrator isolation layer. The adjustment module is used to dynamically adjust the concentrator isolation layer based on the fault-tolerant recovery mechanism to obtain recovery control commands; The operation reconfiguration management module is used to perform operation reconfiguration management on the power concentrator based on the recovery control command.

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