Power communication network management and control method and device

Abstract

The application discloses a power communication network management and control method and device, relates to the technical field of power operation and maintenance, and is applied to a first power communication network management and control system. The method comprises the following steps: acquiring management and control intention information and real-time network data information. The management and control intention information is used for instructing a network device to execute a target operation. The real-time network data information comprises at least one of the following: network service information, network device information and network topology information. Based on the management and control intention information, a first decision analysis model is determined from a decision analysis model mapping table. The decision analysis model mapping table comprises a corresponding relationship between the management and control intention information and the decision analysis model. The real-time network data information is input into the first decision analysis model, and a management and control decision is generated. The management and control decision is a specific strategy for executing the target operation. The management and control decision is distributed to a second power grid management and control system. The second power grid management and control system is a management and control system corresponding to a network domain for executing the target operation.

Description

Technical Field

[0001] This application relates to the field of power operation and maintenance, and in particular to a method and device for power communication network management and control. Background Technology

[0002] Against the backdrop of the construction of new power systems, the scale of power information and communication networks continues to expand, the topology becomes increasingly complex, the digitalization and intelligence of power services are greatly improved, power services are increasingly characterized by distributed deployment and dispatch, and the demand for cross-domain power grid dispatch has increased significantly.

[0003] To achieve efficient management and control of large-scale power communication networks, how to significantly improve the intelligence level and efficiency of power grid management is an urgent problem to be solved in this application. Summary of the Invention

[0004] This application provides a power communication network management and control method and apparatus to improve the intelligence level and efficiency of power grid management and control.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, a power communication network management and control method is provided, applied to a first power communication network management and control system. The method includes: acquiring management and control intent information and real-time network data information, wherein the management and control intent information is used to instruct network devices to perform a target operation, and the real-time network data information includes at least one of the following: network service information, network device information, and network topology information; determining a first decision analysis model from a decision analysis model mapping table based on the management and control intent information, wherein the decision analysis model mapping table includes the correspondence between the management and control intent information and the decision analysis model; inputting the real-time network data information into the first decision analysis model to generate a management and control decision, wherein the management and control decision is a specific strategy for performing the target operation; and distributing the management and control decision to a second power grid management and control system, wherein the second power grid management and control system is the management and control system corresponding to the network domain performing the target operation.

[0007] Based on the above-mentioned power communication network management and control method, the power communication network management and control device can analyze the management and control intent information to determine the target operation to be performed by the network equipment. Then, according to the decision analysis model mapping table, the power communication network management and control device determines the first decision analysis model used by the first power communication network management and control system. This allows the real-time network data information to be input into the first decision analysis model, directly obtaining the specific management and control decision corresponding to the management and control intent information, and distributing it to the second power grid management and control system. Thus, without the need for manual input of management and control decisions, the device can instruct the network equipment corresponding to the second power grid management and control system to perform the target operation, thereby improving the intelligence level and efficiency of power grid management and control.

[0008] In one possible implementation, after determining the first decision analysis model from the decision analysis model mapping table based on the control intention information, the first power communication network control system acquires historical network data information, which includes at least one of the following: historical network service information, network equipment information, and network topology information; and trains the preset decision analysis model based on the historical network data information to obtain the first decision analysis model.

[0009] In one possible implementation, obtaining the control intent information includes: analyzing the control intent information based on the manual control intent information input by the user and the network status of the power communication network.

[0010] In one possible implementation, the above-mentioned distribution of control decisions to the second power grid control system includes: distributing control decisions to the second power grid control system through a first interface of the first power communication network control system.

[0011] In one possible implementation, the aforementioned second power grid control system corresponds to a network domain, and the network domain includes at least one network device. After distributing control decisions to the second power grid control system, the method further includes: controlling at least one network device through the second power grid control system to execute the target operation indicated by the control decision.

[0012] Secondly, a power communication network management and control device is provided. This device is applied to a first power grid management and control system and can also serve as a functional module within the first power grid management and control system for implementing the methods described in the first aspect or any possible design of the first aspect. This power communication network management and control device can implement the functions performed by the first power grid management and control system in the aforementioned aspects or possible designs, and these functions can be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the aforementioned functions. For example, the power communication network management and control device includes an acquisition unit, a processing unit, and a transmission unit.

[0013] The aforementioned acquisition unit is used to acquire control intent information and real-time network data information. The control intent information is used to instruct network devices to perform target operations. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information.

[0014] The aforementioned processing unit is used to determine a first decision analysis model from a decision analysis model mapping table based on control intent information. The decision analysis model mapping table includes the correspondence between control intent information and decision analysis models.

[0015] The aforementioned processing unit is also used to input real-time network data information into the first decision analysis model to generate control decisions, which are specific strategies for executing target operations;

[0016] The aforementioned sending unit is used to distribute control decisions to the second power grid control system, which is the control system corresponding to the network domain that performs the target operation.

[0017] The specific implementation of this power communication network management and control device can refer to the behavioral functions of the network equipment corresponding to the power communication network management and control system in the power communication network management and control method provided in the first aspect or any possible design of the first aspect, and will not be repeated here. Therefore, the provided power communication network management and control device can achieve the same beneficial effects as the first aspect or any possible design of the first aspect.

[0018] In one possible implementation, the aforementioned power communication network management and control device further includes: a training unit;

[0019] The aforementioned acquisition unit is also used to acquire historical network data information after determining the first decision analysis model from the decision analysis model mapping table based on the control intention information. The historical network data information includes at least one of the following: historical network service information, network device information, and network topology information.

[0020] The aforementioned training unit is used to train a preset decision analysis model based on historical network data information to obtain the first decision analysis model.

[0021] In one possible implementation, the aforementioned acquisition unit is specifically used to analyze the control intention information based on the user-input manual control intention information and the network status of the power communication network.

[0022] In one possible implementation, the aforementioned sending unit is specifically used to distribute control decisions to the second power grid control system through the first interface of the first power communication network control system.

[0023] In one possible implementation, a second power grid management system corresponds to a network domain, and a network domain includes at least one network device; the aforementioned processing unit is further configured to, after the sending unit distributes the management decision to the second power grid management system, control at least one network device through the second power grid management system to execute the target operation indicated by the management decision.

[0024] Thirdly, a power communication network management and control device is provided. This device can be a network device corresponding to a first power grid management and control system, or a chip or system-on-a-chip within that network device. This device can implement the functions performed by the network device corresponding to the first power grid management and control system in the above-mentioned aspects or possible designs. These functions can be implemented in hardware. For example, in one possible design, the device may include a processor and a communication interface. The processor can be used to support the device in implementing the functions involved in the first aspect or any possible design of the first aspect. For instance, the processor is used to acquire management intent information and real-time network data information. The management intent information is used to instruct the network device to perform a target operation. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information. Based on the management intent information, a first decision analysis model is determined from a decision analysis model mapping table, which includes the correspondence between the management intent information and the decision analysis model. The real-time network data information is input into the first decision analysis model to generate a management decision, which is a specific strategy for performing the target operation. The management decision is distributed to a second power grid management and control system through the communication interface. The second power grid management and control system is the management and control system corresponding to the network domain performing the target operation.

[0025] In another possible design, the power communication network management device may further include a memory for storing necessary computer execution instructions and data. When the power communication network management device is running, the processor executes the computer execution instructions stored in the memory to cause the power communication network management device to perform the power communication network management method described in the first aspect or any possible design of the first aspect.

[0026] Fourthly, a power communication network management and control device is provided. This device can be a power communication network management and control device or a chip or system-on-a-chip within the device. This device can perform the functions described in the above aspects or possible designs. These functions can be implemented in hardware. For example, in one possible design, the device may include a processor and a communication interface. The processor can be used to support the device in performing the functions described in the first aspect or any possible design. For instance, the processor is used to acquire management intent information and real-time network data information. The management intent information is used to instruct network devices to perform target operations. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information. Based on the management intent information, a first decision analysis model is determined from a decision analysis model mapping table, which includes the correspondence between the management intent information and the decision analysis model. The real-time network data information is input into the first decision analysis model to generate a management decision, which is a specific strategy for performing the target operation. The management decision is distributed to a second power grid management system via the communication interface. The second power grid management system is the management system corresponding to the network domain performing the target operation.

[0027] In another possible design, the power communication network management device may further include a memory for storing necessary computer execution instructions and data. When the power communication network management device is running, the processor executes the computer execution instructions stored in the memory to cause the power communication network management device to perform the power communication network management method described in the first aspect or any possible design of the first aspect.

[0028] Fifthly, a computer-readable storage medium is provided, which may be a readable non-volatile storage medium storing computer instructions or programs that, when executed on a computer, enable the computer to perform the power communication network management method described in the first aspect or any possible design of the above aspects.

[0029] In a sixth aspect, a computer program product containing instructions is provided, which, when run on a computer, enables the computer to execute the power communication network management method described in the first aspect or any possible design of the above aspects.

[0030] In a seventh aspect, a power communication network management and control device is provided. This device can be a power communication network management and control device or a chip or system-on-a-chip within such a device. The device includes one or more processors and one or more memories. The one or more memories are coupled to the one or more processors and are used to store computer program code, including computer instructions. When the one or more processors execute the computer instructions, the power communication network management and control device performs the power communication network management and control method as described in the first aspect or any possible design of the first aspect.

[0031] Eighthly, a chip system is provided, comprising a processor and a communication interface. This chip system can be used to implement the functions performed by the power communication network management device in the first aspect or any possible design of the first aspect. For example, the processor is used to acquire management intent information and real-time network data information. The management intent information is used to instruct network devices to perform a target operation. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information. Based on the management intent information, a first decision analysis model is determined from a decision analysis model mapping table, which includes the correspondence between the management intent information and the decision analysis model. The real-time network data information is input into the first decision analysis model to generate a management decision, which is a specific strategy for performing the target operation. The management decision is distributed to a second power grid management system through the communication interface, which is the management system corresponding to the network domain performing the target operation. In one possible design, the chip system further includes a memory for storing program instructions and / or data. The chip system can be composed of chips or may include chips and other discrete devices, without limitation.

[0032] The technical effects of any of the design methods in aspects two through eight can be found in the technical effects of aspect one mentioned above, and will not be repeated here. Attached Figure Description

[0033] Figure 1 A flowchart illustrating a power communication network management and control method provided in an embodiment of this application;

[0034] Figure 2 A flowchart illustrating another power communication network management method provided in this application embodiment;

[0035] Figure 3 A flowchart illustrating another power communication network management method provided in this application embodiment;

[0036] Figure 4A schematic diagram of the structure of a power communication network management and control device provided in an embodiment of this application;

[0037] Figure 5 A schematic diagram of another power communication network management and control device provided in this application embodiment. Detailed Implementation

[0038] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0039] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0040] It should also be understood that the term "comprising" indicates the presence of the described feature, whole, step, operation, element and / or component, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements and / or components.

[0041] With breakthroughs in generative artificial intelligence (AI) technology, generative AI applications, exemplified by the Chat Generative Pre-trained Transformer (ChatGPT), and the rapid development of the GPT series of large language models (LLMs) have emerged. Based on massive amounts of parameters, pre-training data, and reinforcement learning from human feedback (RHLF) methods, these technologies have generated emerging capabilities, significantly improving expressive abilities, logical reasoning, and contextual understanding. This has triggered major changes in AI technology paradigms, infrastructure, and industrial ecosystems, leading to the deepening application of intelligent agents across various industries.

[0042] Meanwhile, against the backdrop of the construction of new power systems, the scale of power communication networks (hereinafter referred to as power grids) continues to expand, the topology becomes increasingly complex, the digitalization and intelligentization capabilities of power services are greatly improved, power services are increasingly exhibiting distributed deployment and dispatch, and the demand for cross-domain business dispatch of power grids is growing significantly.

[0043] To achieve efficient management and control of large-scale power communication networks, this application embodiment introduces AI technologies such as intelligent agents into the power grid to significantly improve the intelligence level and efficiency of power grid management and control.

[0044] Specifically, this application provides a power grid management method to improve the intelligence and efficiency of power grid management. The method includes: acquiring management intent information and real-time network data information, wherein the management intent information is used to instruct network devices to perform a target operation, and the real-time network data information includes at least one of the following: network service information, network device information, and network topology information; determining a first decision analysis model from a decision analysis model mapping table based on the management intent information, the decision analysis model mapping table including the correspondence between the management intent information and the decision analysis model; inputting the real-time network data information into the first decision analysis model to generate a management decision, the management decision being a specific strategy for performing the target operation; and distributing the management decision to a second power grid management system, the second power grid management system being the management system corresponding to the network domain performing the target operation.

[0045] Based on the above scheme, the power communication network management and control device can analyze the management and control intent information to determine the target operation to be performed by the network equipment. Then, according to the decision analysis model mapping table, the power communication network management and control device determines the first decision analysis model used by the first power communication network management and control system. This allows the real-time network data information to be input into the first decision analysis model, directly obtaining the specific management and control decision corresponding to the management and control intent information, and distributing it to the second power grid management and control system. Thus, without the need for manual input of management and control decisions, the device can instruct the network equipment corresponding to the second power grid management and control system to perform the target operation, thereby improving the intelligence level and efficiency of power grid management and control.

[0046] The methods provided in the embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0047] This application provides a method for managing and controlling a power communication network. For example... Figure 1 As shown, the method may include steps 201 to 204:

[0048] Step 201: The power communication network management and control device acquires management and control intent information and real-time network data information.

[0049] In some embodiments of this application, the aforementioned control intent information is used to instruct network devices to perform target operations.

[0050] In some embodiments of this application, the aforementioned real-time network data information includes at least one of the following: network service information, network device information, and network topology information.

[0051] For example, the aforementioned network service information includes at least one of the following: link configuration information, tunnel configuration information, channel configuration information, and service configuration information.

[0052] For example, the network device information mentioned above includes at least one of the following: device name and type information, device status information, board information, and port information.

[0053] For example, the network topology information mentioned above includes at least one of the following: routing information and network domain link information.

[0054] In some embodiments of this application, the power communication network management and control device collects the aforementioned real-time network data information through various network domains.

[0055] Optionally, in some embodiments of this application, after the power communication network management and control device collects the above-mentioned real-time network data information through each network domain, it processes the collected network data information. Specifically, it constructs a multi-domain network dataset by unifying the parameters, format, and units of the network data information.

[0056] Optionally, in some embodiments of this application, step 201 described above may be implemented through step 201a.

[0057] Step 201a: The power communication network control device analyzes the control intention information based on the manual control intention information input by the user and the network status of the power communication network.

[0058] In some embodiments of this application, during the normal operation of the power communication network, the cross-domain AI collaborative intelligent agent of the power communication network actively perceives the status of the multi-domain power communication network, and performs intent perception based on the manually input control intent and network status to identify control intent information.

[0059] For example, manual input of control intentions, such as increasing service bandwidth or reducing service latency; and AI collaborative agents proactively sensing the status of the power communication network, such as network service performance degradation or network fault alarms.

[0060] Step 202: Based on the control intent information, the power communication network control device determines the first decision analysis model from the decision analysis model mapping table.

[0061] In some embodiments of this application, the above-mentioned decision analysis model mapping table includes the correspondence between control intention information and decision analysis models.

[0062] It is understandable that different control intent information indicates different scenarios for which the power grid is applicable.

[0063] For example, the specific correspondence of the above decision analysis model mapping table is shown in Table 1 below.

[0064]

[0065]

[0066] Table 1. Correspondence between decision analysis models and application scenarios.

[0067] Step 203: The power communication network management and control device inputs real-time network data information into the first decision analysis model to generate management and control decisions.

[0068] In some embodiments of this application, the above-mentioned control decisions are specific strategies for performing target operations.

[0069] For example, the above control decisions may include modifying the configuration of a network device, optimizing the configuration of a network service, or providing a new configuration for a service.

[0070] In some embodiments of this application, the power communication network management and control device inputs the collected real-time network data information into the first decision analysis model to perform data prediction in order to generate corresponding management and control decisions.

[0071] Step 204: The power communication network management and control device distributes the management and control decisions to the second power grid management and control system.

[0072] In some embodiments of this application, the second power grid management system described above is the management system corresponding to the network domain that performs the target operation.

[0073] In some embodiments of this application, a second power grid management system corresponds to at least one network domain, and a network domain includes at least one network device.

[0074] In some embodiments of this application, the first power grid management system and the second power grid management system can be management systems of the same level or different levels. For example, the first power grid management system can be a power grid management system built in the main network domain, and the second power grid management system can be a power grid management system built in a sub-network domain; or, the first power grid management system and the second power grid management system can be power grid management systems built in different sub-network domains.

[0075] For example, the first power grid management system described above can be a power grid management system that manages multiple network domains across domains.

[0076] It should be noted that the power communication network is divided into network domains and managed and controlled according to different network domains. Each sub-network domain is controlled by its corresponding power grid management system, namely the second power grid management system mentioned above. A multi-domain management system, namely the first power grid management system mentioned above, is built at the upper layer to perform unified management and scheduling of the multi-domain network. By introducing decision analysis models with different functions into the first and second power grid management systems, an intelligent architecture for multi-domain management and control of the power communication network is constructed. Different decision analysis model instances are built for multi-domain management scenarios, and these models are combined according to the actual needs of multi-domain network management scenarios to achieve intelligent multi-domain management and control of the power communication network.

[0077] The main network domain power grid management system is responsible for managing and controlling the network devices of the main network, completing network management operations such as device configuration, service configuration, fault management, and performance management. The main network domain power grid management system also possesses intelligent management functions, including intelligent management operations such as intent recognition, data collection, data analysis, solution decision-making, and execution deployment.

[0078] The sub-network domain power grid management and control system is responsible for managing and controlling network devices within its sub-domain, performing network management and control operations such as device configuration, service configuration, fault management, and performance management. The sub-network domain power grid management and control system also possesses intelligent management and control functions, including intelligent management and control operations such as intent recognition, data collection, data analysis, solution decision-making, and execution deployment.

[0079] In the case of a multi-domain power grid management system, the system sits above the main network domain power grid management system and the sub-network domain power grid management system, enabling upper-level collaborative management and control of the multi-domain network. The multi-domain power grid management system possesses intelligent management and control functions, including a decision analysis model. Within this model, it identifies user and service intentions, acquires underlying device and network data from the main and sub-network domain power grid management systems, performs data analysis and solution decisions, and then distributes the decisions to the main and sub-network domain power grid management systems, thereby achieving control and management of the underlying network.

[0080] In some embodiments of this application, after identifying the control intent information of the first power grid control system in actual operation, an instance of the preset decision analysis model is selected to construct the first decision analysis model, and real-time network data information is input. Finally, a decision is generated and sent to each network domain after confirmation.

[0081] Optionally, in some embodiments of this application, step 204 above may be implemented through step 204a.

[0082] Step 204a: The power communication network management and control device distributes the management and control decisions to the second power grid management and control system through the first interface of the first power communication network management and control system.

[0083] In some embodiments of this application, the first interface described above may be a southbound interface.

[0084] In some embodiments of this application, after the above-mentioned generation of control decisions, the power communication network control system confirms the generated control decisions and sends them to the power communication control system corresponding to each network domain, namely the above-mentioned second power grid control system, through the southbound interface of the first power communication network control system, thereby realizing the management and control of the network.

[0085] Based on the above-mentioned power communication network management and control method, the power communication network management and control device can analyze the management and control intent information to determine the target operation to be performed by the network equipment. Then, according to the decision analysis model mapping table, the power communication network management and control device determines the first decision analysis model used by the first power communication network management and control system. This allows the real-time network data information to be input into the first decision analysis model, directly obtaining the specific management and control decision corresponding to the management and control intent information, and distributing it to the second power grid management and control system. Thus, without the need for manual input of management and control decisions, the device can instruct the network equipment corresponding to the second power grid management and control system to perform the target operation, thereby improving the intelligence level and efficiency of power grid management and control.

[0086] Optionally, in some embodiments of this application, combined with Figure 1 ,like Figure 2 As shown, after step 202, "the power communication network management and control device determines the first decision analysis model from the decision analysis model mapping table based on the management and control intent information," the power communication network management and control method provided in this application embodiment further includes steps 301 and 302:

[0087] Step 301: The power communication network management and control device acquires historical network data information.

[0088] In some embodiments of this application, the aforementioned historical network data information includes at least one of the following: historical network service information, network device information, and network topology information.

[0089] It is understandable that the content and method of collecting the aforementioned historical network data information are the same as those of the aforementioned real-time network data information, and will not be repeated here.

[0090] Step 302: The power communication network management and control device trains the preset decision analysis model based on historical network data information to obtain the first decision analysis model.

[0091] In some embodiments of this application, the aforementioned preset decision analysis model is an artificial intelligence model with different constructions.

[0092] For example, the aforementioned preset decision analysis model can be any of the decision analysis models in Table 1 above.

[0093] In some embodiments of this application, the power communication network management and control device inputs historical network data information into a preset decision analysis model for training, encapsulates the trained preset decision analysis model, retains the data input and model parameter tuning interface, and defines the applicable network scenarios and network domains, and finally constructs the aforementioned first decision analysis model.

[0094] In this way, the power communication network management and control device combines historical network data information under different scenarios to conduct deep learning on the candidate decision analysis models and continuously train them to obtain decision analysis models that meet different scenarios, thereby improving the efficiency of the decision analysis models.

[0095] Optionally, in some embodiments of this application, combined with Figure 1 ,like Figure 3 As shown, after step 204 "the power communication network management and control device distributes the management and control decision to the second power grid management and control system" as described above, the power communication network management and control method provided in this application embodiment further includes step 401:

[0096] Step 401: The power communication network control device controls at least one network device through the second power grid control system to execute the target operation of the control decision instruction.

[0097] In some embodiments of this application, after the second power grid management system receives the management decision, it analyzes the specific decision content of the management decision, i.e. the target operation, and instructs the corresponding network device to perform the corresponding operation, such as maintenance, warning, or specification.

[0098] Thus, since the control decisions generated by the power communication network control device through the decision analysis model are specific target operations, the power communication network control device can quickly instruct network equipment to perform target operations, thereby improving the efficiency of power grid control.

[0099] The various solutions in the above embodiments of this application can be combined without contradiction.

[0100] This application embodiment can divide the power communication network management and control device into functional modules or functional units according to the above method examples. For example, each function can be divided into a separate functional module or functional unit, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or in software functional modules or functional units. The module or unit division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0101] When dividing each function into modules according to its corresponding function. Figure 4 A schematic diagram of a power communication network management and control device 700 is shown. The power communication network management and control device 700 can be a network device corresponding to a first power grid management and control system, or it can be a chip applied to a network device. The power communication network management and control device 700 can be used to perform the functions of the network device involved in the above embodiments. Figure 4 The power communication network management and control device 700 shown may include an acquisition unit 701, a processing unit 702, and a transmission unit 703.

[0102] The aforementioned acquisition unit 701 is used to acquire control intent information and real-time network data information. The control intent information is used to instruct network devices to perform target operations. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information.

[0103] The aforementioned processing unit 702 is used to determine a first decision analysis model from a decision analysis model mapping table based on the control intention information. The decision analysis model mapping table includes the correspondence between the control intention information and the decision analysis model.

[0104] The aforementioned processing unit 702 is also used to input real-time network data information into the first decision analysis model to generate control decisions, which are specific strategies for executing target operations;

[0105] The aforementioned sending unit 703 is used to distribute control decisions to the second power grid control system, which is the control system corresponding to the network domain that performs the target operation.

[0106] The specific implementation of this power communication network management and control device can refer to the behavioral functions of the network equipment corresponding to the power communication network management and control system in the power communication network management and control method provided in the first aspect or any possible design of the first aspect, and will not be repeated here. Therefore, the provided power communication network management and control device can achieve the same beneficial effects as the first aspect or any possible design of the first aspect.

[0107] In one possible implementation, combining Figure 4 ,like Figure 5 As shown, the aforementioned power communication network management and control device 700 also includes: a training unit 704;

[0108] The aforementioned acquisition unit 701 is further configured to acquire historical network data information after determining the first decision analysis model from the decision analysis model mapping table based on the control intention information. The historical network data information includes at least one of the following: historical network service information, network device information, and network topology information.

[0109] The aforementioned training unit 704 is used to train a preset decision analysis model based on historical network data information to obtain a first decision analysis model.

[0110] In one possible implementation, the acquisition unit 701 is specifically used to analyze the control intention information based on the manual control intention information input by the user and the network status of the power communication network.

[0111] In one possible implementation, the aforementioned sending unit 703 is specifically used to distribute control decisions to the second power grid control system through the first interface of the first power communication network control system.

[0112] In one possible implementation, a second power grid management system corresponds to a network domain, and a network domain includes at least one network device; the processing unit 702 is further configured to, after the sending unit 703 distributes the management decision to the second power grid management system, control at least one network device through the second power grid management system to execute the target operation indicated by the management decision.

[0113] In the power communication network management and control device provided in this application embodiment, the power communication network management and control device can analyze the management and control intention information to know the target operation to be performed by the network device. Then, the power communication network management and control device determines the first decision analysis model used by the first power communication network management and control system according to the decision analysis model mapping table. This allows the real-time network data information to be input into the first decision analysis model, directly obtain the specific management and control decision corresponding to the management and control intention information, and distribute it to the second power grid management and control system. Thus, without the need for manual input of management and control decisions, the device can instruct the network device corresponding to the second power grid management and control system to perform the target operation, thereby improving the intelligence level and efficiency of power grid management and control.

[0114] As another feasible approach Figure 4 The acquisition unit 701, processing unit 702 and Figure 5 The training unit 704 in the above can be replaced by a processor that can integrate the functions of the aforementioned units. Figure 4The transmitting unit 703 can be replaced by a transceiver or transceiver unit, which can integrate the functions of the transmitting unit 703.

[0115] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be implemented by a computer program instructing related hardware. This program can be stored in the computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be an internal storage unit of the power communication network management and control device in any of the foregoing embodiments, such as the hard disk or memory of the power communication network management and control device. The computer-readable storage medium can also be an external storage device of the terminal device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device. Further, the computer-readable storage medium can include both the internal storage unit of the power communication network management and control device and external storage devices. The computer-readable storage medium is used to store the computer program and other programs and data required by the power communication network management and control device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0116] It should be noted that the terms "first" and "second," etc., in the specification, claims, and drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0117] It should be understood that in this application, "at least one (item)" means one or more, "more than one" means two or more, "at least two (items)" means two or three or more, and "and / or" is used to describe the relationship between related objects, indicating that there can be three relationships. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the related objects before and after are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0118] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0120] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0122] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0123] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for managing and controlling a power communication network, characterized in that, The method, applied to a first power grid control system, includes: The system acquires control intent information and real-time network data information for each network domain. The control intent information is used to instruct network devices to perform target operations. The control intent information is obtained by analyzing the user-inputted manual control intent and the acquired network status. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information. Based on the control intention information, a first decision analysis model is determined from the decision analysis model mapping table. The decision analysis model mapping table includes the correspondence between control intention information and decision analysis models. The first decision analysis model is trained using historical network data. The real-time network data information is input into the first decision analysis model to generate a control decision, which is a specific strategy for instructing the second power grid control system to perform the target operation. The control decision is distributed to a second power grid control system, which is the control system corresponding to the network domain that performs the target operation; The acquisition of control intent information includes: Based on the user's input of the manual control intention and the network status of the power communication network perceived by the artificial intelligence (AI) agent, the control intention information is identified; The network service information includes at least one of the following: link configuration information, tunnel configuration information, channel configuration information, and service configuration information; The network device information includes at least one of the following: device name and type information, device status information, board information, and port information; The network topology information includes at least one of the following: routing information and network domain link information; The first power grid management system and the second power grid management system are power grid management systems built in different network domains.

2. The method according to claim 1, characterized in that, After determining the first decision analysis model from the decision analysis model mapping table based on the control intention information, the method further includes: Obtain historical network data information, which includes at least one of the following: historical network service information, network device information, and network topology information; The first decision analysis model is obtained by training a preset decision analysis model based on the historical network data information.

3. The method according to claim 1, characterized in that, The step of distributing the control decisions to the second power grid control system includes: The control decision is distributed to the second power grid control system through the first interface of the first power grid control system.

4. The method according to claim 1 or 3, characterized in that, A second power grid management system corresponds to a network domain, and a network domain includes at least one network device. After distributing the management decision to the second power grid management system, the method further includes: The second power grid management system controls the at least one network device to execute the target operation indicated by the management decision.

5. A power communication network management and control device, characterized in that, The device, applied to a first power grid control system, includes: an acquisition unit, a processing unit, and a transmission unit; The acquisition unit is used to acquire control intention information and real-time network data information. The control intention information is used to instruct network devices to perform target operations. The control intention information is obtained by analyzing the manual control intention input by the user and the acquired network status. The real-time network data information includes at least one of the following: network service information, network device information, and network topology information. The processing unit is configured to determine a first decision analysis model from a decision analysis model mapping table based on the control intention information. The decision analysis model mapping table includes the correspondence between control intention information and decision analysis models. The first decision analysis model is obtained by training with historical network data. The processing unit is further configured to input the real-time network data information into the first decision analysis model to generate a control decision, wherein the control decision is a specific strategy for instructing the second power grid control system to execute the target operation; The sending unit is used to distribute the control decision to the second power grid control system, which is the control system corresponding to the network domain that performs the target operation; The acquisition unit is specifically used for: Based on the user's input of the manual control intention and the network status of the power communication network perceived by the artificial intelligence (AI) agent, the control intention information is identified; The network service information includes at least one of the following: link configuration information, tunnel configuration information, channel configuration information, and service configuration information; The network device information includes at least one of the following: device name and type information, device status information, board information, and port information; The network topology information includes at least one of the following: routing information and network domain link information; The first power grid management system and the second power grid management system are power grid management systems built in different network domains.

6. The apparatus according to claim 5, characterized in that, The device further includes: a training unit; The acquisition unit is further configured to, based on the control intent information, determine the first decision analysis model from the decision analysis model mapping table, and then acquire historical network data information, wherein the historical network data information includes at least one of the following: historical network service information, network device information, and network topology information; The training unit is used to train a preset decision analysis model based on the historical network data information to obtain the first decision analysis model.

7. The apparatus according to claim 5, characterized in that, The sending unit is specifically used to distribute the control decision to the second power grid control system through the first interface of the first power grid control system.

8. The apparatus according to claim 5 or 7, characterized in that, A second power grid management system corresponds to a network domain, and a network domain includes at least one network device. The processing unit is further configured to, after the sending unit distributes the control decision to the second power grid control system, control the at least one network device through the second power grid control system to execute the target operation indicated by the control decision.

9. A computer-readable storage medium, characterized in that, The readable storage medium stores instructions that, when executed, implement the power communication network management and control method as described in any one of claims 1 to 4.

10. A power communication network management and control device, characterized in that, include: The device includes a processor, a memory, and a communication interface; wherein the communication interface is used for communication by the power communication network management and control device. The memory is used to store one or more programs, the one or more programs including computer execution instructions. When the power communication network management and control device is running, the processor executes the computer execution instructions stored in the memory to cause the power communication network management and control device to perform the power communication network management and control method according to any one of claims 1 to 4.

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