Electric power communication network management and control method and device

Abstract

The invention discloses an electric power communication network management and control method and device, relates to the technical field of electric power operation and maintenance, and is applied to a first electric 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 being used for indicating network equipment to execute a target operation, the real-time network data information comprises at least one of the following items: network service information, network equipment information and network topology information; determining a first decision analysis model from a decision analysis model mapping table based on the management and control intention information, the decision analysis model mapping table comprising a corresponding relationship between the management and control intention information and the decision analysis model; the real-time network data information is input into a first decision analysis model, a control decision is generated, and the control decision is a specific strategy for executing 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 a management and control system corresponding to the network domain executing the target operation.

Description

Technical Field

[0001] The present application relates to the field of power operation and maintenance, and in particular to a method and device for controlling a power communication network. Background Art

[0002] Against the background of new power system construction, the scale of power information and communication networks continues to expand, the topology structure becomes increasingly complex, the digitalization and intelligence of power services are greatly improved, power services are increasingly deployed and dispatched in a distributed manner, and the demand for cross-domain business dispatching of power grids has increased significantly.

[0003] In order 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] The present application provides a power communication network management and control method and device for improving the intelligence level and management efficiency of power grid.

[0005] In order to achieve the above objectives, this application adopts the following technical solutions:

[0006] In a first aspect, a method for controlling an electric power communication network is provided, which is applied to a first electric power communication network control system, the method comprising: obtaining control intention information and real-time network data information, the control intention information being used to instruct network equipment to perform a target operation, the real-time network data information comprising at least one of the following: network service information, network equipment information, and network topology information; based on the control intention information, determining a first decision analysis model from a decision analysis model mapping table, the decision analysis model mapping table comprising a correspondence between the control intention information and the decision analysis model; inputting the real-time network data information into the first decision analysis model to generate a control decision, the control decision being a specific strategy for performing the target operation; and distributing the control decision to a second power grid control system, the second power grid control system being a control system corresponding to a network domain that performs the target operation.

[0007] Based on the above-mentioned power communication network control method, the power communication network control device can analyze the control intention information to obtain the target operation to be performed by instructing the network equipment. Then, the power communication network control device determines the first decision analysis model used by the first power communication network control system according to the decision analysis model mapping table, so that the acquired real-time network data information can be input into the first decision analysis model, and the specific control decision corresponding to the control intention information can be directly obtained and distributed to the second power grid control system. In this way, there is no need to manually input the control decision, and the network equipment corresponding to the second power grid control system can be instructed to perform the target operation, thereby improving the intelligent level and control efficiency of power grid 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 obtains historical network data information, and the historical network data information includes at least one of the following: network historical business 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 a possible implementation, the obtaining of the control intention information includes: analyzing the control intention information according to the manual control intention information input by the user and the network status of the power communication network.

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

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

[0012] In a second aspect, a power communication network control device is provided. The power communication network control device is applied to a first power grid control system, and can also be a functional module in the first power grid control system for implementing the method described in the first aspect or any possible design of the first aspect. The power communication network control device can implement the functions performed by the first power grid control system in the above aspects or possible designs, and the functions can be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions. For example, the power communication network control device includes an acquisition unit, a processing unit, and a sending unit.

[0013] The acquisition unit is used to acquire control intention information and real-time network data information, the control intention information is used to instruct the network device to perform the 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;

[0014] The processing unit is used to determine the first decision analysis model from the decision analysis model mapping table based on the control intention information, and the decision analysis model mapping table includes the corresponding relationship between the control intention information and the decision analysis model;

[0015] The processing unit is further used to input the real-time network data information into the first decision analysis model to generate a management and control decision, which is a specific strategy for executing the target operation;

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

[0017] Among them, the specific implementation method of the power communication network control device can refer to the behavior function of the network device corresponding to the power communication network control system in the power communication network 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 control device can achieve the same beneficial effects as the first aspect or any possible design of the first aspect.

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

[0019] The acquisition unit 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, wherein 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 training unit is used to train the preset decision analysis model based on historical network data information to obtain a first decision analysis model.

[0021] In a possible implementation, the acquisition unit is specifically used to analyze the control intention information according to the manual control intention information input by the user and the network status of the power communication network.

[0022] In a possible implementation, the sending unit is specifically configured to distribute the control decision to the second power grid control system via the first interface of the first power communication network control system.

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

[0024] In a third aspect, a power communication network control device is provided, which may be a network device corresponding to a first power grid control system or a chip or system on chip in a network device. The power communication network control device may implement the functions performed by the network device corresponding to the first power grid control system in the above aspects or possible designs, and the functions may be implemented by hardware, such as: in a possible design, the power communication network control device may include: a processor and a communication interface, and the processor may be used to support the power communication network control device to implement the functions involved in the above first aspect or any possible design of the first aspect, for example: the processor is used to obtain control intention information and real-time network data information, the control intention information is used to instruct the network device 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, network topology information; based on the control intention information, determine the first decision analysis model from the decision analysis model mapping table, and the decision analysis model mapping table includes the corresponding relationship between the control intention information and the decision analysis model; input the real-time network data information into the first decision analysis model to generate a control decision, and the control decision is a specific strategy for executing the target operation; distribute the control decision to the second power grid control system through the communication interface, and the second power grid control system is the control system corresponding to the network domain that performs the target operation.

[0025] In another possible design, the power communication network control device may further include a memory for storing computer-executable instructions and data necessary for the power communication network control device. When the power communication network control device is running, the processor executes the computer-executable instructions stored in the memory, so that the power communication network control device performs the power communication network control method described in the first aspect or any possible design of the first aspect.

[0026] In a fourth aspect, a power communication network control device is provided, which may be a power communication network control device or a chip or system on chip in the power communication network control device. The power communication network control device may implement the functions performed by the power communication network control device in the above aspects or possible designs, and the functions may be implemented by hardware, such as: in one possible design, the power communication network control device may include: a processor and a communication interface, and the processor may be used to support the power communication network control device to implement the functions involved in the above first aspect or any possible design of the first aspect, for example: the processor is used to obtain control intention information and real-time network data information, the control intention information is used to instruct the network device to perform the target operation, and the real-time network data information includes at least one of the following: network service information, network device information, network topology information; based on the control intention information, determine the first decision analysis model from the decision analysis model mapping table, the decision analysis model mapping table includes the corresponding relationship between the control intention information and the decision analysis model; input the real-time network data information into the first decision analysis model to generate a control decision, and the control decision is a specific strategy for executing the target operation; distribute the control decision to the second power grid control system through the communication interface, and the second power grid control system is the control system corresponding to the network domain that performs the target operation.

[0027] In another possible design, the power communication network control device may further include a memory for storing computer-executable instructions and data necessary for the power communication network control device. When the power communication network control device is running, the processor executes the computer-executable instructions stored in the memory, so that the power communication network control device performs the power communication network control method described in the first aspect or any possible design of the first aspect.

[0028] In a fifth aspect, a computer-readable storage medium is provided, which may be a readable non-volatile storage medium, and which stores computer instructions or programs. When the computer-readable storage medium is run on a computer, the computer can execute the power communication network management and control method described in the first aspect or any possible design of the above aspects.

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

[0030] In a seventh aspect, a power communication network control device is provided, which may be a power communication network control device or a chip or system on chip in the power communication network control device, and the power communication network control 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 the one or more memories are used to store computer program codes, and the computer program codes include computer instructions, and when the one or more processors execute the computer instructions, the power communication network control device performs the power communication network control method as described in the first aspect or any possible design of the first aspect.

[0031] In the eighth aspect, a chip system is provided, the chip system includes a processor and a communication interface, the chip system can be used to implement the functions performed by the power communication network control device in the above-mentioned first aspect or any possible design of the first aspect, such as a processor, for obtaining control intention information and real-time network data information, the control intention information is used to instruct the network device to perform the target operation, and the real-time network data information includes at least one of the following: network service information, network equipment information, network topology information; based on the control intention information, determine the first decision analysis model from the decision analysis model mapping table, the decision analysis model mapping table includes the corresponding relationship between the control intention information and the decision analysis model; input the real-time network data information into the first decision analysis model, generate a control decision, and the control decision is a specific strategy for performing the target operation; distribute the control decision to the second power grid control system through the communication interface, and the second power grid control system is the control system corresponding to the network domain that performs the target operation. In one possible design, the chip system also includes a memory, and the memory is used to store program instructions and / or data. The chip system can be composed of a chip, or it can include a chip and other discrete devices, without limitation.

[0032] Among them, the technical effects brought about by any design method from the second aspect to the eighth aspect can refer to the technical effects brought about by the above-mentioned first aspect, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of a flow chart of a power communication network management and control method provided in an embodiment of the present application;

[0034] Figure 2 A flowchart of another power communication network management and control method provided in an embodiment of the present application;

[0035] Figure 3 A flowchart of another power communication network management and control method provided in an embodiment of the present application;

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

[0037] Figure 5 A schematic diagram of the structure of another power communication network management and control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

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

[0040] It should also be understood that the term “comprising” indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements and / or components.

[0041] With the breakthrough of generative artificial intelligence (AI) technology, generative AI applications represented by Chat Generative Pre-trained Transformer (ChatGPT) and GPT series of large natural language models (LLM) have developed rapidly. Based on the huge amount of parameters, pre-training data and reinforcement learning from human feedback (RHLF), the ability to generate has emerged, with significant improvements in expression ability, logical reasoning and contextual understanding, which has triggered major changes in the artificial intelligence technology paradigm, infrastructure, industrial ecology and other aspects, and the application of intelligent agents for the industry has continued to deepen.

[0042] At the same time, under the background of new power system construction, the scale of power communication network (hereinafter referred to as power grid) continues to expand, the topology structure becomes increasingly complex, the digitalization and intelligentization capabilities of power services are greatly improved, power services are increasingly distributed and dispatched, and the demand for cross-domain business dispatch of power grids has increased significantly.

[0043] In order to achieve efficient management and control of large-scale power communication networks, the embodiments of the present application introduce AI technologies such as intelligent agents into the power grid to greatly improve the intelligence level and efficiency of power grid management.

[0044] Specifically, the embodiment of the present application provides a power grid control method for improving the level of intelligence and efficiency of power grid control. The method includes: obtaining control intention information and real-time network data information, the control intention information is used to instruct network equipment to perform target operations, and the real-time network data information includes at least one of the following: network service information, network equipment information, and network topology information; based on the control intention information, determining a first decision analysis model from a decision analysis model mapping table, the decision analysis model mapping table includes the corresponding relationship between the control intention information and the decision analysis model; inputting the real-time network data information into the first decision analysis model to generate a control decision, which is a specific strategy for executing the target operation; distributing the control decision to a second power grid control system, which is a control system corresponding to the network domain that performs the target operation.

[0045] Based on the above scheme, the power communication network control device can analyze the control intention information to obtain the target operation to be performed by the network device, and then the power communication network control device determines the first decision analysis model used by the first power communication network control system according to the decision analysis model mapping table, so that the acquired real-time network data information can be input into the first decision analysis model, and the specific control decision corresponding to the control intention information can be directly obtained and distributed to the second power grid control system, so that the network device corresponding to the second power grid control system can be instructed to perform the target operation without manual input of the control decision, thereby improving the intelligent level and control efficiency of the power grid control.

[0046] The method provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0047] The present application embodiment provides a method for controlling a power communication network. Figure 1 As shown, the method may include steps 201 to 204:

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

[0049] In some embodiments of the present application, the above-mentioned control intention information is used to instruct the network device to perform the target operation.

[0050] In some embodiments of the present application, the above-mentioned real-time network data information includes at least one of the following: network service information, network equipment information, and network topology information.

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

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

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

[0054] In some embodiments of the present application, the power communication network management and control device collects the above-mentioned real-time network data information through each network domain.

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

[0056] Optionally, in some embodiments of the present application, the above step 201 can be specifically implemented through the following step 201a.

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

[0058] In some embodiments of the present 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 intention perception based on the manually input control intentions and network status to identify the control intention information.

[0059] Exemplarily, the control intention is manually input, such as increasing business bandwidth, reducing business latency, etc.; the AI ​​collaborative agent actively perceives the status of the power communication network, such as network business performance degradation, network fault alarms, etc.

[0060] Step 202: The power communication network management and control device determines a first decision analysis model from a decision analysis model mapping table based on the management and control intention information.

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

[0062] It is understandable that different control intention information indicates different applicable scenarios of the power grid.

[0063] Exemplarily, 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 the real-time network data information into the first decision analysis model to generate a management and control decision.

[0068] In some embodiments of the present application, the above-mentioned management and control decisions are specific strategies for executing target operations.

[0069] Exemplarily, the above-mentioned management and control decisions may include modifying a certain network device configuration, optimizing a certain network service configuration, providing a new service configuration, etc.

[0070] In some embodiments of the present 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 to generate corresponding management and control decisions.

[0071] 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.

[0072] In some embodiments of the present application, the second power grid management and control system is a management and control system corresponding to the network domain that performs the target operation.

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

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

[0075] Exemplarily, the first power grid management and control system may be a power grid management and control system that manages multiple network domains across domains.

[0076] It should be noted that the power communication network will be divided according to network domains, and managed and controlled according to different network domains. Each sub-network domain is controlled by the corresponding power grid control system, that is, the above-mentioned second power grid control system. A multi-domain control system is built on the upper layer, that is, the above-mentioned first power grid control system, to perform unified control and scheduling of multi-domain networks. By introducing decision analysis models with different functions in the first power grid control system and the second power grid control system, an intelligent architecture for multi-domain management and control of the power communication network is constructed. For multi-domain control scenarios, different decision analysis model instances are constructed respectively, and decision analysis models are constructed according to the actual multi-domain network control scenario requirements to realize multi-domain intelligent control of the power communication network.

[0077] Among them, the main network domain power grid control system is responsible for managing and controlling the network equipment of the main network, completing network control operations such as equipment configuration, business configuration, fault management, and performance management. The main network domain power grid control system also has intelligent control functions, including the completion of intent recognition, data collection, data analysis, solution decision-making, execution and distribution, and other intelligent control operations;

[0078] The sub-network domain power grid control system is responsible for managing and controlling the network devices in the sub-domain, and completing network control operations such as equipment configuration, service configuration, fault management, and performance management. The sub-network domain power grid control system also has intelligent control functions, including the completion of intent recognition, data collection, data analysis, solution decision-making, execution and distribution, and other intelligent control operations;

[0079] When the power grid control system is a multi-domain power grid control system, it is located at the upper layer of the main network domain power grid control system and the sub-network domain power grid control system, and realizes upper-layer collaborative management and control for the multi-domain network. The multi-domain power grid control system has intelligent control functions. The system contains a decision analysis model. The intention recognition for users and businesses is completed in the decision analysis model of the multi-domain power grid control system. The underlying equipment and network data are obtained through the main network and sub-network domain power grid control system, and data analysis and solution decision-making are performed. The decision plan is sent to the main network and sub-network domain power grid control system, thereby realizing the control and management of the underlying network.

[0080] In some embodiments of the present application, after identifying the control intention information of the first power grid control system in actual operation, a first decision analysis model is constructed by selecting an instance of a preset decision analysis model, and real-time network data information is input. Finally, a decision is generated and issued to each network domain after confirmation.

[0081] Optionally, in some embodiments of the present application, the above step 204 can be specifically implemented by the following step 204a.

[0082] Step 204a: The power communication network management and control device distributes the management and control decision 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 the present application, the first interface may be a southbound interface.

[0084] In some embodiments of the present application, after the above-mentioned management and control decisions are generated, the power communication network management and control system will confirm the generated management and control decisions, and send them to the power communication management and control systems corresponding to each network domain through the southbound interface of the first power communication network management and control system, that is, the above-mentioned second power grid management and control system, thereby realizing the management and control of the network.

[0085] Based on the above-mentioned power communication network control method, the power communication network control device can analyze the control intention information to obtain the target operation to be performed by instructing the network equipment. Then, the power communication network control device determines the first decision analysis model used by the first power communication network control system according to the decision analysis model mapping table, so that the acquired real-time network data information can be input into the first decision analysis model, and the specific control decision corresponding to the control intention information can be directly obtained and distributed to the second power grid control system. In this way, there is no need to manually input the control decision, and the network equipment corresponding to the second power grid control system can be instructed to perform the target operation, thereby improving the intelligent level and control efficiency of power grid control.

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

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

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

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

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

[0091] In some embodiments of the present application, the above-mentioned preset decision analysis model is an artificial intelligence model of different structures.

[0092] Exemplarily, the preset decision analysis model may be any decision analysis model in Table 1 above.

[0093] In some embodiments of the present 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 adjustment interface, and defines applicable network scenarios and network domains, and finally constructs the above-mentioned 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 and continuous training of alternative decision analysis models to obtain decision analysis models that meet different scenarios, thereby improving the efficiency of the decision analysis models.

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

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

[0097] In some embodiments of the present application, after the second power grid control system receives the control decision, it instructs the corresponding network device to perform corresponding operations, such as maintenance, warnings or specifications, by analyzing the specific decision content of the control decision, that is, the target operation.

[0098] In this way, since the control decision generated by the power communication network control device through the decision analysis model is a specific target operation, the power communication network control device can quickly instruct the network equipment to perform the target operation, thereby improving the power grid control efficiency.

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

[0100] The embodiment of the present application can divide the power communication network control device into functional modules or functional units according to the above method example. For example, each functional module or functional unit can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules or functional units. Among them, the division of modules or units in the embodiment of the present application is schematic, which is only a logical functional division. There may be other division methods in actual implementation.

[0101] In the case of dividing each functional module into corresponding functional modules, Figure 4 A structural schematic diagram of a power communication network control device 700 is shown. The power communication network control device 700 can be a network device corresponding to the first power grid control, or a chip applied to the network device. The power communication network control device 700 can be used to execute 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 sending unit 703 .

[0102] The acquisition unit 701 is used to acquire control intention information and real-time network data information, the control intention information is used to instruct the network device to perform the 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;

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

[0104] The processing unit 702 is further configured to input the real-time network data information into the first decision analysis model to generate a management and control decision, where the management and control decision is a specific strategy for executing the target operation;

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

[0106] Among them, the specific implementation method of the power communication network control device can refer to the behavior function of the network device corresponding to the power communication network control system in the power communication network 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 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 above-mentioned power communication network management and control device 700 further includes: a training unit 704;

[0108] The 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, where 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 training unit 704 is used to train the preset decision analysis model based on historical network data information to obtain a first decision analysis model.

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

[0111] In a possible implementation, the sending unit 703 is specifically configured to distribute the control decision 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 control system corresponds to a network domain, and a network domain includes at least one network device; the above-mentioned processing unit 702 is also used to control at least one network device through the second power grid control system to execute the target operation indicated by the control decision after the sending unit 703 distributes the control decision to the second power grid control system.

[0113] In the power communication network control and management device provided in the embodiment of the present application, the power communication network control and management device can analyze the control intention information to obtain the target operation to be performed by instructing the network device to perform, and then the power communication network control and management device determines the first decision analysis model used by the first power communication network control and management system according to the decision analysis model mapping table, so that the acquired real-time network data information can be input into the first decision analysis model, and the specific control decision corresponding to the control intention information can be directly obtained and distributed to the second power grid control and management system, so that there is no need for manual input of the control decision, and the network device corresponding to the second power grid control and management system can be instructed to perform the target operation, thereby improving the intelligence level and control efficiency of the power grid control.

[0114] As another possible way to achieve this, Figure 4 The acquisition unit 701, the processing unit 702 and Figure 5 The training unit 704 in the embodiment can be replaced by a processor, which can integrate the functions of the above-mentioned units. Figure 4The sending unit 703 in the embodiment may be replaced by a transceiver or a transceiver unit, and the transceiver or transceiver unit may integrate the function of the sending unit 703.

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

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

[0117] It should be understood that in the present application, "at least one (item)" means one or more, "more than one" means two or more, "at least two (items)" means two or three and more than three, and "and / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one 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, c can be single or multiple.

[0118] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned 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 the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0120] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0121] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0122] If the integrated unit is implemented in the form of 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 solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard drives, ROM, RAM, magnetic disks or optical disks.

[0123] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for controlling a power communication network, characterized in that: Applied to the first power communication network management and control system, the method includes: Acquire control intention information and real-time network data information, wherein the control intention information is used to instruct the network device 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; Based on the control intention information, determining a first decision analysis model from a decision analysis model mapping table, wherein the decision analysis model mapping table includes a correspondence between the control intention 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 executing the target operation; The control decision is distributed to a second power grid control system, where the second power grid control system is a control system corresponding to the network domain that performs the target operation.

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: 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; A preset decision analysis model is trained based on the historical network data information to obtain the first decision analysis model.

3. The method according to claim 1, characterized in that The obtaining of control intention information includes: The control intention information is analyzed according to the manual control intention information input by the user and the network status of the power communication network.

4. The method according to claim 1, characterized in that The distributing the control decision 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 communication network control system.

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

6. A power communication network management and control device, characterized in that: Applied to the first power communication network management and control system, the device comprises: an acquisition unit, a processing unit and a sending unit; The acquisition unit is used to acquire control intention information and real-time network data information, wherein the control intention information is used to instruct the network device 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; The processing unit is used to determine a first decision analysis model from a decision analysis model mapping table based on the control intention information, wherein the decision analysis model mapping table includes a correspondence between the control intention information and the decision analysis model; The processing unit is further used to input the real-time network data information into the first decision analysis model to generate a management and control decision, where the management and control decision is a specific strategy for executing the target operation; The sending unit is used to distribute the control decision to a second power grid control system, where the second power grid control system is a control system corresponding to the network domain that executes the target operation.

7. The device according to claim 6, characterized in that The device further comprises: a training unit; The acquisition unit 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, 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.

8. The device according to claim 6, characterized in that The acquisition unit is specifically used to analyze the control intention information according to the manual control intention information input by the user and the network status of the power communication network.

9. The device according to claim 6, characterized in that The sending unit is specifically configured to distribute the control decision to the second power grid control system through the first interface of the first power communication network control system.

10. The device according to claim 6 or 9, characterized in that One second power grid management and control system corresponds to one network domain, and one network domain includes at least one network device; The processing unit is further configured to control the at least one network device through the second power grid management and control system to execute the target operation indicated by the management and control decision after the sending unit distributes the management and control decision to the second power grid management and control system.

11. A computer-readable storage medium, characterized in that: The readable storage medium stores instructions, and when the instructions are executed, the power communication network management and control method according to any one of claims 1 to 5 is implemented.

12. A power communication network management and control device, characterized in that: include: A processor, a memory and a communication interface; wherein the communication interface is used for communication with the power communication network management and control device; The memory is used to store one or more programs, and the one or more programs include computer-executable instructions. When the power communication network control and management device is running, the processor executes the computer-executable instructions stored in the memory to enable the power communication network control and management device to perform the power communication network control and management method described in any one of claims 1 to 5.

Images