A method, system, apparatus, device, and storage medium for managing communication equipment.

Abstract

This application discloses a communication equipment management method, system, apparatus, device, and storage medium. The method includes: parsing the user input information corresponding to the base station to be configured and the operating parameters to be configured based on a management intent recognition model; using an intelligent retrieval component to search the base station configuration knowledge base, determine the target device status field and configuration guidance knowledge data, and query the base station service database based on the target device status field to determine the real-time device status data associated with the base station to be configured; using a base station configuration intelligent agent to call a base station configuration planning tool to plan parameter values ​​for the operating parameters to be configured based on the configuration guidance knowledge data and the real-time device status data, and calling a base station configuration distribution tool to issue a first parameter configuration instruction to the base station to be configured through the base station management interface, so that the base station to be configured can configure the operating parameters to be configured based on the planned parameter values. This solution can improve the convenience and efficiency of base station management.

Description

Technical Field

[0001] This specification relates to the field of communication equipment management technology, and in particular to a communication equipment management method, system, device, equipment and storage medium. Background Technology

[0002] With the rapid development of communication networks, traditional network management systems (OMC) rely on user input of parameter configuration instructions written in machine language to configure communication equipment. Users also need to manually send a series of configuration instructions such as parameter calculation and configuration parameter distribution. This results in low processing efficiency and complex operation, leading to a high barrier to entry for the system. Users without technical background find it difficult to operate, resulting in a poor user experience. Summary of the Invention

[0003] In view of the above-mentioned problems in the prior art, the purpose of this specification is to provide a communication equipment management method, system, device, equipment and storage medium, which can simplify the complexity of base station parameter configuration, improve the convenience and efficiency of base station management, thereby lowering the threshold for system use and improving the user experience.

[0004] To achieve the above objectives, this specification provides the following solutions:

[0005] A communication equipment management method is provided, the method being applied to a communication equipment management system, the system comprising: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface; the intelligent retrieval component comprising: a base station configuration knowledge base and a base station service database; the base station management toolchain comprising: a base station configuration planning tool and a base station configuration distribution tool; and the base station management interface for communicating with multiple base stations; the method comprising:

[0006] Obtain user input information;

[0007] When the user input information indicates that base station parameters should be configured, the management intent recognition model is used to parse the base station to be configured and the operating parameters to be configured corresponding to the user input information.

[0008] The intelligent retrieval component performs knowledge retrieval on the base station configuration knowledge base to determine configuration-related data associated with the operating parameters to be configured. The configuration-related data includes: target device status field and configuration guidance knowledge data. Based on the target device status field, the base station service database is queried to determine the real-time device status data associated with the base station to be configured.

[0009] The base station configuration agent makes configuration behavior decisions based on the operating parameters to be configured, and generates a first invocation instruction for the base station configuration planning tool and the base station configuration distribution tool.

[0010] Based on the first invocation instruction, the base station configuration planning tool is invoked, and the parameter values ​​for the base station to be configured are planned according to the configuration guidance knowledge data and the real-time device status data, so as to obtain the planned parameter values.

[0011] Based on the first invocation instruction, the base station configuration distribution tool is invoked, and a first parameter configuration instruction is issued to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planning parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the planning parameter values.

[0012] This application also discloses a communication equipment management system, the system comprising: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface, wherein the intelligent retrieval component comprises: a base station configuration knowledge base and a base station service database, the base station management toolchain comprises: a base station configuration planning tool and a base station configuration distribution tool, and the base station management interface is used to communicate with multiple base stations; wherein, the system is used to execute the communication equipment management method described above.

[0013] This application also discloses a communication equipment management device, which is applied to a communication equipment management system. The system includes: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface. The intelligent retrieval component includes: a base station configuration knowledge base and a base station service database. The base station management toolchain includes: a base station configuration planning tool and a base station configuration distribution tool. The base station management interface is used to communicate with multiple base stations. The device includes:

[0014] The user input information acquisition module is used to acquire user input information;

[0015] The parameter configuration intent parsing module is used to parse the base station to be configured and the operating parameters to be configured corresponding to the user input information based on the management intent recognition model when the user input information indicates that base station parameters should be configured.

[0016] The first retrieval module is used to perform knowledge retrieval on the base station configuration knowledge base by the intelligent retrieval component, determine the configuration association data related to the operating parameters to be configured, the configuration association data includes: target device status field and configuration guidance knowledge data, and based on the target device status field, perform device status query on the base station service database to determine the real-time device status data associated with the base station to be configured;

[0017] The first decision module is used to make configuration behavior decisions by the base station configuration agent based on the configuration operation parameters to be configured, and generate a first invocation instruction for the base station configuration planning tool and the base station configuration distribution tool.

[0018] The base station configuration planning module is used to invoke the base station configuration planning tool based on the first invocation instruction, and to plan the parameter values ​​for the base station to be configured based on the configuration guidance knowledge data and the real-time device status data, so as to obtain the planned parameter values.

[0019] The base station configuration distribution module is used to invoke the base station configuration distribution tool based on the first invocation instruction, and to issue a first parameter configuration instruction to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planning parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the planning parameter values.

[0020] This application also discloses a communication device management device, which includes a processor and a memory. The memory stores at least one instruction or at least one program segment, which is loaded and executed by the processor to implement the communication device management method described above.

[0021] This application also discloses a computer-readable storage medium storing at least one instruction or at least one program, which is loaded and executed by a processor to implement the communication device management method described above.

[0022] This application has significant advantages and beneficial effects compared with the prior art. Through the above technical solution, the communication equipment management method, system, device, equipment, and storage medium provided by this application all achieve considerable technological advancement and practicality, and have broad industrial application value. Its technical effects are as follows:

[0023] The technical solution provided in this application allows users to input natural language information instead of complex command lines. Based on a management intent recognition model, the system parses the user input information to identify the base station to be configured and the corresponding operating parameters. It introduces an intelligent retrieval component containing a base station configuration knowledge base and a base station service database, improving the convenience of retrieving configuration guidance knowledge data and querying real-time device status data. Subsequently, the base station configuration agent makes configuration behavior decisions, automatically generating first-call instructions for the base station configuration planning tool and the base station configuration distribution tool. The base station configuration planning tool is invoked, and based on the configuration guidance knowledge data and real-time device status data, it plans the parameter values ​​for the operating parameters to be configured for the base station, obtaining the planned parameters. The planned parameter values ​​can be improved by calling the base station configuration distribution tool and sending a first parameter configuration instruction carrying the operating parameters to be configured and the planned parameter values ​​to the base station to be configured through the base station management interface. This allows the base station to configure the operating parameters to be configured based on the planned parameter values, which can improve the convenience of parameter configuration and the base station response efficiency. Using the technical solution provided in this application, users only need to describe the base station parameter configuration requirements in natural language, and the communication equipment management system will automatically parse and execute the corresponding base station parameter configuration operations, which greatly simplifies the complexity of base station parameter configuration, improves the convenience and efficiency of base station management, lowers the threshold for system use, and improves the user experience. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the present invention, the accompanying drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative effort.

[0025] Figure 1 This is a schematic diagram of an application environment provided in an embodiment of this application;

[0026] Figure 2 This is a schematic diagram of the structure of a communication equipment management system provided in an embodiment of this application;

[0027] Figure 3 This is a schematic diagram of the business architecture of a communication equipment management system provided in an embodiment of this application;

[0028] Figure 4 This is a flowchart illustrating a communication device management method provided in an embodiment of this application;

[0029] Figure 5a -b is a flowchart illustrating a PCI configuration scheme provided in an embodiment of this application;

[0030] Figure 6This is a flowchart illustrating another communication device management method provided in an embodiment of this application;

[0031] Figure 7 This is a schematic flowchart of a base station commissioning scheme provided in an embodiment of this application;

[0032] Figure 8 This is a flowchart illustrating another communication device management method provided in an embodiment of this application;

[0033] Figure 9 This is a flowchart illustrating another communication device management method provided in an embodiment of this application;

[0034] Figure 10 This is a schematic diagram of an intelligent question-and-answer chat interface provided in an embodiment of this application;

[0035] Figure 11 This is a flowchart illustrating another communication device management method provided in an embodiment of this application;

[0036] Figure 12 This is a communication device management device provided in the embodiments of this application. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] In the embodiments provided in this application, the described system embodiments are merely illustrative. For example, the above-described module division is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between modules or units, and may be electrical or other forms.

[0039] To facilitate understanding of the embodiments of this application, several concepts will be briefly introduced below:

[0040] OMC (Operation and Maintenance Center): An important component of communication systems and a core infrastructure of operators, the OMC is used by telecommunications operators to monitor and manage their network equipment and systems. The OMC plays a crucial role in ensuring the stability and reliability of communication networks.

[0041] PCI (Physical Cell Identifier): A physical layer identifier used to uniquely identify a cell in mobile communication systems such as LTE and 5G.

[0042] With the rapid development of communication networks, traditional network management systems (OMC) have exposed many problems in equipment management, configuration, and monitoring:

[0043] (1) Complex operation: Traditional OMC relies on command line or GUI interface, which requires maintenance personnel to have high professional knowledge, making it difficult to learn and easy to make mistakes.

[0044] (2) Inefficient: Batch device management often requires manual or script support, which is cumbersome and inefficient when dealing with large-scale devices.

[0045] (3) Difficulty in obtaining information: Equipment status, alarm information, etc. require complex query commands or technical documents, resulting in low query efficiency and difficulty in timely response.

[0046] (4) Insufficient intelligence: Traditional systems lack intelligent processing and cannot provide operation suggestions or automated processing based on historical data or natural language instructions.

[0047] (5) High technical threshold: Users without technical background have difficulty operating it and there is a high risk of misoperation.

[0048] Based on this, the inventors, through further research and development, have made this application to provide a communication equipment management method, system, device, equipment, and storage medium.

[0049] Please see Figure 1 , Figure 1 This is a schematic diagram of an application environment provided in an embodiment of this application, such as... Figure 1As shown, the application environment includes a client side 10, a server side 20, and a base station side 30. The client side 10, server side 20, and base station side 30 can be indirectly connected via wireless communication. The base station side 30 includes multiple base stations. The server side 20 deploys a communication equipment management system, which includes: a management intent recognition model, a base station configuration agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface. The intelligent retrieval component includes: a base station configuration knowledge base and a base station service database. The base station management toolchain includes: a base station configuration planning tool and a base station configuration distribution tool. The base station management interface is used to communicate with multiple base stations. Relevant entities (such as communication equipment administrators) can send user input information to the server side 20 through the client side 10. When a user inputs information indicating base station parameter configuration, the server-side 20 parses the user input information based on a management intent recognition model to determine the base station to be configured and the operating parameters to be configured. The base station to be configured can be one of the aforementioned base stations. The intelligent retrieval component performs a knowledge retrieval of the base station configuration knowledge base to determine the configuration association data related to the operating parameters to be configured. The configuration association data includes: target device status field and configuration guidance knowledge data. Based on the target device status field, the server performs a device status query on the base station service database to determine the real-time device status data associated with the base station to be configured. The base station configuration agent makes configuration behavior decisions based on the operating parameters to be configured, generating a first call instruction for the base station configuration planning tool and the base station configuration distribution tool. Then, based on the first call instruction, the server calls the base station configuration planning tool to plan the parameter values ​​for the operating parameters to be configured for the base station to be configured according to the configuration guidance knowledge data and the real-time device status data, obtaining the planned parameter values. Then, based on the first call instruction, the server calls the base station configuration distribution tool to issue a first parameter configuration instruction to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planned parameter values. Finally, the base station to be configured performs parameter configuration based on the planned parameter values ​​for the operating parameters to be configured. It should be noted that, Figure 1 This is just one example.

[0050] The client can be a physical device such as a smartphone, computer (e.g., desktop computer, tablet computer, laptop computer), digital assistant, smart voice interaction device (e.g., smart speaker), smart wearable device, in-vehicle terminal, etc., or it can be software running on the physical device, such as a computer program. The corresponding operating system of the client can be Android, iOS (a mobile operating system developed by Apple), Linux (an operating system), Microsoft Windows, etc.

[0051] A server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. A server may include network communication units, processors, and memory, etc. The server can provide backend services to the corresponding clients.

[0052] A base station is an interface device for mobile devices to access the internet. Base stations are used for communication and data transmission with mobile devices (such as mobile phones and wireless network cards), enabling wireless communication coverage. Specifically, a base station can include: base station equipment and supporting equipment. The base station equipment includes a baseband unit, a wireless radio frequency unit, and an antenna, while the supporting equipment includes transmission equipment and a power supply.

[0053] It should be noted that the communication device management method provided in this application can be applied to both the client side and the server side, and is not limited to the embodiments described above.

[0054] The following describes a communication device management system provided by an embodiment of this application, specifically, as shown in the example. Figure 2 As shown, the system may include: a management intent recognition model, a base station management agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface, which can be used to communicate with multiple base stations.

[0055] In one specific embodiment, the management intent recognition model can identify the management intent corresponding to the user input information through the session context in which the user input information is located, and parse key information of the management intent such as the base station's operating parameters, device status, fault type, and operation type. Specifically, when the user input information indicates base station parameter configuration, the management intent recognition model can parse the base station to be configured and the operating parameters to be configured corresponding to the user input information; when the user input information indicates base station batch operation, it can parse the base station search keywords and operation type corresponding to the user input information; when the user input information indicates intelligent question answering, it can parse the question intent type and query keywords corresponding to the user input information; and when the user input information indicates base station fault handling, it can parse the base station fault type corresponding to the user input information.

[0056] In one specific embodiment, the management intent recognition model can be a general generative large language model pre-trained for management intent recognition. Specifically, the training data for the management intent recognition model can include: (1) static knowledge content: for example, OMC domain knowledge (communication, network, equipment, etc.), and OMC system operation and maintenance manuals; (2) thought-guided samples for completing base station management using the base station management toolchain: for example, thought-guided samples for base station configuration and thought-guided samples for summarizing device status. In an optional embodiment, the management intent recognition model can be a local model or an online model.

[0057] Specifically, user input information can be natural language input information. For example, user input information can include, but is not limited to, text input information and voice input information.

[0058] In one specific embodiment, the base station management agent can make management behavior decisions based on the user's operational intent, invoke the base station management toolchain to execute relevant tools, and return results. Specifically, the base station management agent can include: a base station configuration agent, a batch operation agent, and a device query agent. The base station configuration agent can make configuration behavior decisions based on the base station to be configured and the operating parameters to be configured corresponding to the user's input information, and invoke configuration-related tools in the base station management toolchain. The batch operation agent can perform batch operations on the corresponding base stations based on the base station search keywords and operation types corresponding to the user's input information. The device query agent can invoke base station data query tools to query the query results corresponding to the query keywords, such as device operating status data and device alarm data, based on the query keywords corresponding to the user's input information.

[0059] In a specific embodiment, the base station management toolchain can execute corresponding base station management operations based on the invocation instructions corresponding to the base station management agent. Specifically, the base station management toolchain may include, but is not limited to: base station configuration planning tools, base station configuration distribution tools, base station batch operation tools, base station data query tools, base station health monitoring tools, and base station status statistics tools. Among them, the base station configuration planning tool can plan parameter values ​​for the operating parameters to be configured for the base station to be configured based on user configuration requirements or equipment operating status; the base station configuration distribution tool can distribute the parameter values ​​corresponding to the operating parameters to be configured to the base station to be configured through the base station management interface; the base station batch operation tool can perform batch operations on selected base stations, and the types of operations that the base station batch operation tool can perform may include, but are not limited to: base station restart, base station upgrade, base station activation, base station shutdown, base station synchronization, etc.; the base station data query tool can query the service-related data of the base station in real time, and the service-related data may include, but is not limited to: equipment operating status data, equipment alarm data, base station frequency band data, base station transmit power data, etc.; the base station health monitoring tool can periodically collect the service-related data of the base station; the base station status statistics tool can summarize the equipment status information within the management area set by the system, such as the number of online devices, the number of alarm devices, and the distribution of various alarms.

[0060] In one specific embodiment, the intelligent retrieval component may include a base station configuration knowledge base and a base station service database. The intelligent retrieval component can provide users with intelligent question-and-answer services by retrieving knowledge data in the base station configuration knowledge base, and retrieve the latest device status information from the base station service database when needed, thereby generating intelligent responses to users' base station management needs based on comprehensive document knowledge and real-time data.

[0061] In a specific embodiment, the base station configuration knowledge base may include: OMC system manuals, equipment operation manuals (equipment function descriptions and configuration reference guides), equipment provider information, equipment operation and maintenance manuals (common fault handling guides and alarm handling guides), communication technology evolution, and other document content. The base station configuration knowledge base can provide rich document support for the intelligent retrieval component to respond to needs related to equipment descriptions, fault handling, and configuration optimization. Illustratively, the intelligent retrieval component can combine alarm handling guides from the base station configuration knowledge base to generate equipment configuration suggestions and operation plans. For example, when a user inputs "how to handle the insufficient power alarm of a 5G base station," the intelligent retrieval component will retrieve relevant documents and provide detailed handling steps and precautions. The intelligent retrieval component can also provide fault diagnosis and response methods to users based on common fault handling guides. For example, when a user inputs "antenna direction adjustment method," the intelligent retrieval component will provide adjustment steps and related guidance. The intelligent retrieval component can also provide optimal handling solutions and optimization suggestions for equipment configuration based on configuration reference guides. For example, when a user inputs "how to optimize antenna coverage," the RAG module extracts and generates optimal configuration suggestions for antenna coverage from the configuration reference guide.

[0062] In one specific embodiment, the base station service database may store service-related data for each base station within a management area defined by the system. Specifically, each base station may include: base station equipment and supporting equipment. The base station equipment may include, but is not limited to: 5G base stations and communication antennas; the supporting equipment may include, but is not limited to: transportation equipment and power supplies; and the service-related data may include, but is not limited to: parameter configuration data, equipment operating status data, and equipment alarm data. In an optional embodiment, the base station service database may also store historical data of the system, such as historical operation log data and historical base station service data.

[0063] In one specific embodiment, the intelligent retrieval component can retrieve the latest device status information from the base station service database through the system service interface, and respond to base station management tasks from other components of the system through the system service interface. Specifically, the base station management tasks may include, but are not limited to, parameter configuration tasks, status query tasks, and alarm response tasks. The system service interface can be a standard API interface, and the intelligent retrieval component can interact with the base station service database through the standard API interface to support the execution of tasks such as field device operation, status query, and configuration update.

[0064] In one specific embodiment, the base station management interface can be used to communicate directly with multiple base stations within a management area set by the system, so as to manage and monitor each base station in real time.

[0065] See Figure 3 , Figure 3This is a schematic diagram of the business architecture of a communication device management system provided in an embodiment of this application. Specifically, the business architecture may include: a user layer, a system layer, and a device layer, wherein:

[0066] The user layer is responsible for interacting with users on content. Specifically, the user layer can provide users with a conversational interface (e.g., a text chat interface) and pass the natural language information obtained from user input to the system layer for processing.

[0067] The system layer is responsible for processing natural language information input by the user, generating specific base station management commands, and performing base station management operations. The system layer may include: a model proxy component, a base station management agent component, a base station management toolchain component, an intelligent retrieval component, and a device management interface; the model proxy component may include: a local management intent recognition model and an online management intent recognition model; the intelligent retrieval component may include: a base station configuration knowledge base and a system service interface, the latter used to interact with the base station service database; the base station management agent component may include: a base station configuration agent, a batch operation agent, and a device query agent; the base station management toolchain component may include: a base station configuration planning tool, a base station configuration distribution tool, a base station batch operation tool, a base station data query tool, a base station health monitoring tool, and a base station status statistics tool.

[0068] The device layer is responsible for communicating with the system layer through the base station management interface to perform base station configuration updates, status queries, and batch operations. Specifically, the device layer can include multiple base stations within a management area defined by the system.

[0069] As can be seen from the above embodiments, compared with existing communication equipment management systems, the communication management device provided in this application has the following significant technical advantages and effects:

[0070] (1) Simplified operation process: Traditional communication equipment management systems rely on complex command lines or scripts to perform equipment management operations. The communication equipment management system provided in this application uses natural language interaction, which allows users to directly complete equipment configuration, query and batch operations through simple language descriptions. This not only reduces the learning cost, but also greatly reduces the risk of misoperation.

[0071] (2) Improve operation and maintenance efficiency: The communication equipment management system provided in this application embodiment allows users to manage a large number of devices at once (such as batch restart, batch upgrade, etc.) through batch operation function. When facing the daily maintenance of large-scale devices, it can greatly improve the efficiency of equipment management.

[0072] (3) Lowering the technical threshold: Maintenance personnel do not need to have professional communication network knowledge. They can complete equipment configuration, data query and other operations through simple natural language input, which reduces the dependence on technical documents and lowers the technical threshold for maintenance personnel.

[0073] (4) Intelligent support: The system has a built-in intelligent question and answer function. By combining the knowledge base and historical data, it can provide users with real-time equipment parameter descriptions, fault handling suggestions, etc., to help maintenance personnel make correct operational decisions quickly and improve the level of intelligent operation and maintenance.

[0074] (5) Efficiency of information query: It supports the use of natural language to query device status, summarize alarm information, etc., which greatly improves the convenience of information acquisition and response speed. Compared with traditional interface operation and manual statistics, it saves a lot of time.

[0075] (6) Improve the flexibility and scalability of the system: Since the system adopts a three-layer architecture consisting of user layer, system layer and device layer, and supports the combined application of local model and online model, it can flexibly respond to the management needs of large-scale base stations under different management scenarios. At the same time, the knowledge content of the base station configuration knowledge base and the base stations included in the device layer can be added or removed, so that the system has scalability.

[0076] On the other hand, embodiments of this application also provide a communication device management method, which is applied to the communication device management system described above. Figure 4 This is a flowchart illustrating a communication device management method provided in an embodiment of this application. This application provides the operational steps of the method described in the embodiment or flowchart, but based on conventional or non-inventive labor, more or fewer operational steps may be included. The order of steps listed in the embodiment is merely one possible execution order among many and does not represent the only execution order. In actual system or product execution, the method can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiment or drawings. Specifically, as... Figure 4 As shown, the method specifically includes the following steps:

[0077] S401, Obtain user input information.

[0078] Specifically, user input information can be natural language input information that expresses the user's base station management needs.

[0079] S402, when the user inputs information indicating that base station parameters should be configured, the base station to be configured and the operating parameters to be configured corresponding to the user input information are parsed based on the management intent recognition model.

[0080] Specifically, the management intent recognition model can parse the management intent indicated by the user input information to determine the user's management intent. When the user's management intent is to configure base station parameters, it can parse the base station to be configured and the operating parameters to be configured corresponding to the user input information.

[0081] In a specific embodiment, the base station to be configured can be a base station within a pre-defined management area of ​​the system, and the operating parameter to be configured can be one of a variety of operating parameters of the base station pre-defined by the system. For example, the various operating parameters may include, but are not limited to, PCI (Physical Cell Identifier), base station frequency band, base station bandwidth, and transmit power.

[0082] S403, the intelligent retrieval component performs knowledge retrieval on the base station configuration knowledge base to determine the configuration association data related to the operating parameters to be configured. The configuration association data includes: target device status field and configuration guidance knowledge data. Based on the target device status field, the base station service database is queried to determine the real-time device status data associated with the base station to be configured.

[0083] Specifically, the configuration-related data can be associated data used to guide the configuration of the operating parameters to be configured. This configuration-related data may include: configuration guidance knowledge data and target device status fields. Optionally, the configuration guidance knowledge data may include, but is not limited to: best configuration practice data, configuration suggestion data, and parameter value planning algorithms.

[0084] In one specific embodiment, the target device status field can be the influencing factor of the parameter value of the operating parameter to be configured. Specifically, at least one device status field that affects the operating parameter to be configured can be determined from the various device status fields of the base station pre-set by the system as the target device status field.

[0085] In one specific embodiment, the real-time device status data can be the field value of the target device status field of the base station to be configured. Optionally, the intelligent retrieval component can retrieve the field value of the target device status field of the base station to be configured from the base station service database through the system service interface. The system service interface can be a standard API interface.

[0086] S404: The base station configuration agent makes configuration behavior decisions based on the operating parameters to be configured, and generates the first invocation command for the base station configuration planning tool and the base station configuration distribution tool.

[0087] Specifically, the base station configuration agent can be a base station management agent that has undergone parameter configuration mind chain training. The base station management agent's management behavior decision-making can include: determining at least one tool to be called in the base station management toolchain and the calling order of the at least one tool to be called. Correspondingly, the base station configuration agent's configuration behavior decision-making based on the operating parameters to be configured can include: based on the operating parameters to be configured, taking the base station configuration planning tool and the base station configuration distribution tool as two tools to be called, determining the calling order of the two tools to be called, and generating a first calling instruction carrying the calling order.

[0088] S405, based on the first call instruction, calls the base station configuration planning tool, and plans the parameter values ​​for the operating parameters to be configured for the base station according to the configuration guidance knowledge data and real-time equipment status data, and obtains the planned parameter values.

[0089] In one specific embodiment, the aforementioned configuration guidance knowledge data may include a parameter value planning algorithm. The process of planning parameter values ​​for the operational parameters to be configured for the base station based on the configuration guidance knowledge data and real-time device status data may include: determining the input conditions of the parameter value planning algorithm based on the real-time device status data; determining the output parameter values ​​of the operational parameters to be configured corresponding to the input conditions based on the parameter value planning algorithm; and using the output parameter values ​​as the planned parameter values. Specifically, the parameter value planning algorithm can be set in conjunction with the specific base station operational parameter type, and this application does not impose any particular limitations on it.

[0090] S406, based on the first call instruction, invoke the base station configuration distribution tool, and send the first parameter configuration instruction to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planned parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the planned parameter values.

[0091] Specifically, the base station to be configured responds to the first parameter configuration command carrying the values ​​of the operating parameters to be configured and the planning parameters, and sets the values ​​of its own operating parameters to be configured to the values ​​of the planning parameters.

[0092] For illustrative purposes, taking PCI as an example for configuring operating parameters, see [link / reference]. Figure 5a , Figure 5a This application provides a PCI configuration scheme based on the aforementioned communication device management method. Specifically, the PCI configuration scheme may include the following steps:

[0093] S501, the user interface of the communication equipment management system obtains user input information expressing PCI configuration requirements. For example, user input information a is: "Initialize the PCI of base station A123".

[0094] S502, based on the management intent recognition model, analyzes the base station to be configured and the operating parameters to be configured corresponding to the user input information. For example, the base station to be configured corresponding to user input information a is "base station A123" and the operating parameter to be configured is "PCI".

[0095] S503, the intelligent retrieval component performs knowledge retrieval on the base station configuration knowledge base to determine the target device status fields and configuration guidance knowledge data related to PCI. For example, the target device status fields related to PCI include: the cell location of the base station, the neighboring cells of the base station, the PCI of the neighboring cells, etc. The configuration guidance knowledge data is "based on the specifications such as uniqueness and Mod 3 allocation principle, ensure that the PCI of each cell is unique within the range of neighboring cells, and ensure that the PCI is evenly distributed on Mod 3."

[0096] S504, the intelligent retrieval component performs a device status query on the base station service database based on the target device status field to determine the real-time device status data associated with the base station to be configured. For example, it queries the cell coordinate data (GPS coordinates) of base station A123 and the PCI of the neighboring cells of base station A123.

[0097] Specifically, when the base station is in controlled mode, the configuration and management of PCI are centrally controlled by the system. After the base station is powered on and initialized, it will report the location information of its cell to the system. Therefore, when the system obtains the user input information 'a', it can prompt the user to set the base station A123 to controlled mode and power it on and initialize it, or it can automatically set the base station A123 to controlled mode and power it on and initialize it.

[0098] S505: The base station configuration agent makes configuration behavior decisions based on PCI and generates invocation instructions for PCI planning tools and PCI issuing tools.

[0099] S506, the PCI planning tool uses the PCI planning algorithm and cell location coordinates to calculate the PCI value of the cell where the base station to be configured is located, to ensure that the PCI value does not overlap with the surrounding cells.

[0100] In S507, the PCI configuration tool sends PCI configuration commands to the base station to be configured through the base station management interface. These commands carry planned PCI values, enabling the base station to perform PCI configuration based on these values. Once the PCI configuration is complete, the base station enters the operational state.

[0101] In practical applications, a PCI conflict occurs when a base station discovers a neighboring cell with the same PCI value as its own cell; PCI confusion occurs when a base station discovers two neighboring cells with the same PCI value. For example... Figure 5bAs shown, during base station operation, if the base station detects a PCI conflict or confusion, the base station can report the conflict information to the system. The intelligent retrieval component and the base station configuration agent work together to calculate a new PCI value based on real-time monitoring data to avoid the recurrence of the conflict.

[0102] In a specific embodiment, Figure 6 As shown, the above method may further include:

[0103] S407, when the user inputs information indicating that base station parameters should be configured, the management intent recognition model is used to parse the base station to be configured, the operating parameters to be configured, and the input parameter values ​​corresponding to the operating parameters to be configured, which are corresponding to the user input information.

[0104] S408: The base station configuration agent makes configuration behavior decisions based on the operating parameters to be configured and the input parameter values, and generates a third invocation command for the base station configuration distribution tool.

[0105] Specifically, when the user input information includes input parameter values, the system can directly configure parameters based on the user's input parameter values ​​without the need for parameter value planning. Therefore, the base station configuration agent only needs to generate a third invocation command for the base station configuration distribution tool.

[0106] S409, based on the third call instruction, calls the base station configuration distribution tool, and sends the second parameter configuration instruction to the base station to be configured through the base station management interface. The second parameter configuration instruction carries the operating parameters to be configured and the input parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the input parameter values.

[0107] Specifically, the base station to be configured responds to the second parameter configuration command carrying the operating parameters to be configured and the input parameter values, and sets the parameter values ​​of its own operating parameters to be configured as the input parameter values.

[0108] To illustrate, the base station activation process involves multiple parameter configuration steps. Each step is handled by a management intent recognition model that parses user input and automatically generates specific base station configuration commands through a base station configuration agent. These commands then invoke the base station configuration distribution tool to communicate with the base station via the base station management interface, ultimately completing the base station activation operation. Specifically, for example... Figure 7 As shown, the base station deployment scheme based on the above communication equipment management method may include the following steps:

[0109] S701, configure the basic parameters of the base station.

[0110] Specifically, the management intent recognition model analyzes user input information b, such as "configure basic parameters of base station XX," to determine the target base station, at least one basic parameter (including site ID, cell ID, etc.), and the input parameter value for each basic parameter. The base station configuration agent then calls the base station configuration distribution tool to send basic parameter configuration instructions to the target base station, enabling the target base station to complete the basic parameter settings. For example, if user input information b is "configure the site ID of base station A123 as 1234 and the cell ID as 56," after analyzing user input information b, the management intent recognition model uses the base station configuration agent to send basic parameter configuration instructions to the target base station "A123," causing the target base station "A123" to configure the site ID as 1234 and the cell ID as 56.

[0111] S702, configures the base station's frequency band and bandwidth.

[0112] Specifically, the management intent recognition model analyzes user input information c such as "set the frequency band and bandwidth of base station XX" to determine the target base station, the input parameter values ​​corresponding to the frequency band, and the input parameter values ​​corresponding to the bandwidth. The base station configuration agent then calls the base station configuration distribution tool to send the frequency band and bandwidth configuration instructions to the target base station, enabling the target base station to complete the frequency band and bandwidth settings. For example, if user input information c is "configure the frequency band of base station A123 to 1800MHz and the bandwidth to 20MHz", after analyzing the user input information c, the management intent recognition model sends the frequency band and bandwidth configuration instructions to the target base station "A123" via the base station configuration distribution tool, causing the target base station "A123" to configure the frequency band to 1800MHz and the bandwidth to 20MHz.

[0113] S703, configures the antenna parameters of the base station.

[0114] Specifically, the management intent recognition model analyzes user input information d such as "configure base station XX antenna parameters" to determine the target base station, at least one antenna parameter (including antenna model, azimuth, elevation, etc.), and the input parameter value for each antenna parameter. The base station configuration agent then calls the base station configuration distribution tool to send antenna parameter configuration instructions to the target base station, enabling the target base station to complete the antenna parameter settings. For example, if user input information d is "configure base station A123's antenna model as XX, azimuth as 30 degrees, and elevation as 15 degrees," after analyzing user input information d, the management intent recognition model sends an antenna parameter configuration instruction to the target base station "A123" via the base station configuration distribution tool, causing the target base station "A123" to configure the antenna model as XX, the azimuth as 30 degrees, and the elevation as 15 degrees.

[0115] S704, sets the base station's transmit power and receive sensitivity.

[0116] Specifically, the management intent recognition model analyzes user input information e such as "set base station XX power and sensitivity" to determine the target base station, the input parameter values ​​corresponding to the transmit power, and the input parameter values ​​corresponding to the receive sensitivity. The base station configuration agent then calls the base station configuration distribution tool to send configuration instructions for the transmit power and receive sensitivity to the target base station, enabling the target base station to complete the settings and ensure signal coverage and reception performance. For example, if user input e is "set the transmit power of base station A123 to 30dBm and the receive sensitivity to -100dBm", after analyzing the user input e, the management intent recognition model sends configuration instructions for the transmit power and receive sensitivity to the target base station "A123" via the base station configuration distribution tool, causing the target base station "A123" to configure the transmit power to 30dBm and the receive sensitivity to -100dBm.

[0117] S705, configure the neighbor cell relationship of the base station.

[0118] Specifically, the management intent recognition model analyzes user input information f of the type "configure neighbor cell relationships for base station XX" to determine the target base station and the corresponding input parameter values ​​for the neighbor cell relationships. The base station configuration agent then calls the base station configuration distribution tool to send a base station neighbor cell configuration command to the target base station, enabling the target base station to set neighbor cell handover and reselection parameters, ensuring normal handover with surrounding sites. For example, if the user input information f is "configure the neighbor cell relationships of base station A123 as B234 and C345", after analyzing the user input information f, the management intent recognition model sends a neighbor cell relationship configuration command to the target base station "A123" through the base station configuration distribution tool, enabling the target base station "A123" to complete the neighbor cell relationship configuration.

[0119] S706, activate base station software.

[0120] Specifically, the management intent recognition model analyzes user input information g of the type "Activate base station XX" to determine the target base station corresponding to the user input information. It then sends an activation command to the target base station through the base station management interface, enabling the target base station to activate its software and enter normal working condition. For example, if the user input information f is "Activate base station A123", the management intent recognition model analyzes the user input information f and sends an activation command to the target base station "A123", enabling it to access the network normally.

[0121] In a specific embodiment, Figure 8 As shown, the above method may further include:

[0122] S801, when a user inputs information indicating a batch operation of a base station, the base station retrieval keywords and operation type corresponding to the user input information are analyzed based on the management intent recognition model. The base station retrieval keywords include at least one of the following: device identification keywords, geographic location keywords, device status keywords, and device provider keywords.

[0123] Specifically, the management intent recognition model can parse the management intent indicated by the user input information to determine the user's management intent. In the case that the user's management intent is a batch operation of the base station, it can parse the base station search keywords and operation type corresponding to the user input information.

[0124] In one specific embodiment, the base station search keywords can be search keywords used for selected base stations to be operated. Specifically, base station search keywords may include at least one of the following: device identification keywords, geographic location keywords, device status keywords, and device provider keywords.

[0125] In a specific embodiment, the operation type can be one of a variety of operation types preset by the system. Specifically, the various operation types may include, but are not limited to: base station restart, base station upgrade, base station activation, base station shutdown, base station synchronization, etc.

[0126] S802, the intelligent retrieval component performs a base station query on the base station service database based on base station search keywords, and identifies at least two base stations to be operated from multiple base stations.

[0127] Specifically, the intelligent retrieval component performs base station queries on the base station service database based on at least one of the following keywords: device identification keywords, geographic location keywords, device status keywords, and device provider keywords, to identify at least two base stations among multiple base stations that match the at least one keyword and are to be operated.

[0128] S803, the batch operation agent makes operation behavior decisions based on the operation type and generates a second invocation instruction for the base station batch operation tool.

[0129] Specifically, the batch operation agent can be a base station management agent that has undergone base station batch operation mind chain training. The base station management agent's management behavior decision may include: determining at least one tool to be called in the base station management toolchain and the calling order of the at least one tool to be called. Correspondingly, the batch operation agent's operation behavior decision based on the operation type may include: based on the operation type, selecting the base station batch operation tool as the tool to be called and generating a second calling instruction for the base station batch operation tool.

[0130] S804, based on the second invocation instruction, invokes the base station batch operation tool, and issues base station operation instructions corresponding to the operation type to at least two base stations to be operated through the base station management interface, so that at least two base stations to be operated can perform base station operations corresponding to the operation type.

[0131] Specifically, the base station batch operation tool issues base station operation instructions corresponding to the operation type to the at least two base stations to be operated through the base station management interface. Each of the at least two base stations to be operated responds to the base station operation instructions and performs the base station operation corresponding to the operation type.

[0132] As an example, the user inputs the natural language message: "Restart all base stations in Nankai District Science and Technology Park". The management intent recognition model parses the user input to obtain the base station search keyword "Nankai District Science and Technology Park" and the operation type "Restart". Based on the base station search keyword "Nankai District Science and Technology Park", the intelligent search component queries the base station service database to identify all base stations located in "Nankai District Science and Technology Park". The batch operation agent makes the operation behavior decision and generates a second invocation command for the base station batch operation tool. The base station batch operation tool sends the base station restart command to all base stations located in "Nankai District Science and Technology Park" through the base station management interface, so that all base stations located in "Nankai District Science and Technology Park" will perform the restart operation. After the operation is completed, the system generates an operation report and sends it back to the user.

[0133] As can be seen from the above embodiments, when users need to perform batch management operations on a certain region or a certain type of device, the manual configuration steps can be reduced, greatly improving the operational efficiency.

[0134] In a specific embodiment, Figure 9 As shown, the above method may further include:

[0135] S901, when the user inputs information to indicate intelligent question answering, analyzes the question intent type and query keywords corresponding to the user input information based on the management intent recognition model.

[0136] Specifically, the management intent recognition model can analyze user input information to determine the user's management intent. In the case of intelligent question answering, it can analyze the question intent type and query keywords corresponding to the user input information.

[0137] S902, when the question intent type is base station operation and maintenance knowledge retrieval, the intelligent retrieval component performs related knowledge retrieval on the base station configuration knowledge base based on the query keywords, obtains the knowledge retrieval results, and outputs the base station knowledge response information corresponding to the user input information based on the knowledge retrieval results.

[0138] Specifically, users can input questions through the system's chat interface. The management intent recognition model performs semantic parsing and calls the intelligent retrieval component based on the semantics to retrieve relevant content from the base station configuration knowledge base. The system integrates the retrieval results, generates natural language response information, and provides feedback to the user. This allows network equipment maintenance personnel to quickly understand equipment functions and troubleshooting scenarios without having to consult cumbersome technical documents.

[0139] Indicative, such as Figure 10 As shown, users input questions through the chat interface, such as "What is the KPI management function?". The management intent recognition model can perform semantic analysis on the user's input question "What is the KPI management function?", and based on the semantic analysis data, determine the query keyword "key KPI indicator" from the base station management terminology set within the system. The intelligent retrieval component then retrieves the following content from the base station configuration knowledge base based on the query keyword "key KPI indicator":

[0140] Key KPIs in the OMC system include, but are not limited to, the following categories:

[0141] 1. Network performance metrics: such as network throughput, data transmission rate, latency, packet loss rate, etc., are used to evaluate network operating efficiency and user experience.

[0142] 2. Equipment performance indicators: such as equipment utilization rate, failure rate, alarm frequency, etc., are used to monitor the operating status and health of the equipment.

[0143] 3. User service metrics: such as number of users, user activity, and user satisfaction, are used to evaluate the impact of online services on users.

[0144] 4. Network quality metrics: such as signal strength, coverage range, interference level, etc., are used to evaluate network coverage and quality.

[0145] 5. Energy consumption indicators: such as equipment energy consumption, overall network energy consumption, etc., used to monitor energy consumption.

[0146] 6. Security metrics: such as the number of security incidents and the number of intrusion detections, used to assess the network security status.

[0147] 7. Fault indicators: such as the number of faults, fault duration, and fault recovery time, are used to evaluate fault handling efficiency.

[0148] 8. Maintenance metrics: such as maintenance efficiency and maintenance duration, are used to evaluate the efficiency of maintenance work. These key performance indicators (KPIs) help operators gain a comprehensive understanding of network operation, identify problems in a timely manner, and make optimizations and adjustments.

[0149] The system integrates content based on the relevant definitions and explanations of key KPI indicators, generates natural language response information, and explains the KPI management function to users.

[0150] S903: When the question intent type is base station operation status query, the intelligent retrieval component performs a status query on the base station service database based on the query keywords, obtains the status query results, and outputs the status response information corresponding to the user input information based on the status query results.

[0151] In an optional embodiment, the management intent recognition model can perform semantic parsing on user input information and determine query keywords from multiple base station status fields set within the system based on the semantic parsing data. When the timeliness requirement of the base station status field corresponding to the query keyword is low, the intelligent retrieval component can perform a correlation status query on the base station service database based on the query keyword to obtain the status query result. When the timeliness requirement of the base station status field corresponding to the query keyword is high, the device query agent can also call the base station data query tool to communicate directly with the relevant base station (the target query base station in the user input information) through the base station management interface to directly obtain the status query result from the relevant base station.

[0152] In one specific embodiment, the above method may further include:

[0153] The base station health monitoring tool is invoked to periodically obtain equipment operation status data from multiple base stations through the base station management interface, and the base station service database is updated in real time based on the equipment operation status data.

[0154] Specifically, base station health monitoring tools can periodically obtain equipment operating status data related to base station performance through the base station management interface. For example, the equipment operating status data here may include, but is not limited to, CPU load, memory usage, and operating temperature.

[0155] In a specific embodiment, Figure 11 As shown, the above method may further include:

[0156] S1101, Obtain fault indication information for the target faulty base station reported by the base station health monitoring tool. The target faulty base station is any one of multiple faulty base stations.

[0157] Specifically, fault indication information can be used to indicate the fault type and severity of the target faulty base station.

[0158] S1102, the intelligent retrieval component performs fault diagnosis based on fault indication information and base station configuration knowledge base, and obtains the fault diagnosis result corresponding to the target faulty base station.

[0159] Specifically, the intelligent retrieval component can retrieve fault handling guidelines related to fault types from the base station configuration knowledge base, and query the latest equipment status information of the target faulty base station from the base station service database when needed, thereby generating fault diagnosis results based on comprehensive document knowledge and real-time data.

[0160] S1103 provides a visual display of fault indication information and fault diagnosis results.

[0161] Specifically, fault indication information and fault diagnosis results can be visualized in the form of charts.

[0162] It should be noted that the methods in the method embodiments and the system embodiments are based on the same inventive concept.

[0163] As can be seen from the embodiments of the communication device management method provided in this application above, compared with existing communication device management methods, the communication management method provided in this application has the following significant technical advantages and effects:

[0164] (1) Simplified operation process: Through natural language interaction, users can directly complete device configuration, query and batch operation through simple language description, which not only reduces the learning cost, but also greatly reduces the risk of misoperation.

[0165] (2) Improve operation and maintenance efficiency: Through batch operation tools, users can manage a large number of devices at once (such as batch restart, batch upgrade, etc.) using natural language. This can greatly improve the efficiency of device management when facing the daily maintenance of large-scale devices.

[0166] (3) Lowering the technical threshold: Maintenance personnel do not need to have professional communication network knowledge. They can complete equipment configuration, data query and other operations through simple natural language input, which reduces the dependence on technical documents and lowers the technical threshold for maintenance personnel.

[0167] (4) Intelligent support: By combining knowledge base and business database, it can provide users with real-time equipment parameter descriptions, fault handling suggestions, etc., to help operation and maintenance personnel make correct operation decisions quickly and improve the level of intelligent operation and maintenance.

[0168] (5) Efficiency of information query: It supports the use of natural language to query device status, summarize alarm information, etc., which greatly improves the convenience of information acquisition and response speed. Compared with traditional interface operation and manual statistics, it saves a lot of time.

[0169] On the other hand, this application embodiment also provides a communication equipment management device, which is applied to the communication equipment management system described above. The communication equipment management system includes: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface. The intelligent retrieval component includes: a base station configuration knowledge base and a base station service database. The base station management toolchain includes: a base station configuration planning tool and a base station configuration distribution tool. The base station management interface is used to communicate with multiple base stations, such as... Figure 12 As shown, the communication equipment management device may include:

[0170] User input information acquisition module 1210 is used to acquire user input information;

[0171] The parameter configuration intent parsing module 1220 is used to parse the base station to be configured and the operating parameters to be configured corresponding to the user input information based on the management intent recognition model when the user input information indicates that the base station parameters are to be configured.

[0172] The first retrieval module 1230 is used to perform knowledge retrieval on the base station configuration knowledge base by the intelligent retrieval component, determine the configuration association data related to the operating parameters to be configured, the configuration association data includes: target device status field and configuration guidance knowledge data, and based on the target device status field, perform device status query on the base station service database to determine the real-time device status data associated with the base station to be configured;

[0173] The first decision module 1240 is used for the base station configuration agent to make configuration behavior decisions based on the operating parameters to be configured, and to generate the first invocation command for the base station configuration planning tool and the base station configuration distribution tool.

[0174] The base station configuration planning module 1250 is used to call the base station configuration planning tool based on the first call instruction, and to plan the parameter values ​​of the base station to be configured for the operating parameters to be configured according to the configuration guidance knowledge data and real-time equipment status data, so as to obtain the planned parameter values.

[0175] The base station configuration distribution module 1260 is used to call the base station configuration distribution tool based on the first call instruction, and to send the first parameter configuration instruction to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planned parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the planned parameter values.

[0176] In one specific embodiment, the system further includes: a batch operation intelligent agent; the base station management toolchain further includes: a base station batch operation tool; and the apparatus may further include:

[0177] The batch operation intent parsing module is used to parse the base station search keywords and operation type corresponding to the user input information based on the management intent recognition model when the user inputs information to perform batch operations on the base station. The base station search keywords include at least one of the following: device identification keywords, geographic location keywords, device status keywords, and device provider keywords.

[0178] The second retrieval module is used by the intelligent retrieval component to perform base station queries on the base station service database based on base station retrieval keywords, and to determine at least two base stations to be operated from multiple base stations.

[0179] The second decision module is used for the batch operation agent to make operation behavior decisions based on the operation type and generate a second invocation instruction for the base station batch operation tool.

[0180] The base station batch operation module is used to invoke the base station batch operation tool based on the second invocation instruction, and issue base station operation instructions corresponding to the operation type to at least two base stations to be operated through the base station management interface, so that at least two base stations to be operated can perform base station operations corresponding to the operation type.

[0181] In one specific embodiment, the above-described apparatus may further include:

[0182] The question intent parsing module is used to parse the question intent type and query keywords corresponding to the user input information based on the management intent recognition model when the user inputs information to indicate intelligent question answering.

[0183] The third retrieval module is used to retrieve base station operation and maintenance knowledge by intelligent retrieval component based on query keywords when the question intent type is base station operation and maintenance knowledge retrieval. The module then retrieves the knowledge retrieval results and outputs the base station knowledge response information corresponding to the user input information based on the knowledge retrieval results.

[0184] The fourth retrieval module is used to perform a status query on the base station service database based on the query keywords when the query intent type is base station operation status query. The module then outputs the status response information corresponding to the user input information based on the status query results.

[0185] In one specific embodiment, when the user inputs information indicating that base station parameters should be configured, the above-mentioned apparatus may further include:

[0186] The input parameter value parsing module is used to parse the base station to be configured, the operating parameters to be configured, and the input parameter values ​​corresponding to the operating parameters to be configured based on the management intent recognition model.

[0187] The third decision module is used by the base station configuration agent to make configuration behavior decisions based on the operating parameters to be configured and the input parameter values, and to generate a third invocation command for the base station configuration distribution tool.

[0188] The input value delivery module is used to invoke the base station configuration delivery tool based on the third invocation command, and send the second parameter configuration command to the base station to be configured through the base station management interface. The second parameter configuration command carries the operating parameters to be configured and the input parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the input parameter values.

[0189] In one specific embodiment, the above-mentioned base station management toolchain may further include: a base station health monitoring tool, and the above-mentioned device may further include:

[0190] The base station health monitoring module is used to call the base station health monitoring tool, periodically obtain equipment operation status data of multiple base stations through the base station management interface, and update the base station service database in real time based on the equipment operation status data.

[0191] In one specific embodiment, the above-described apparatus may further include:

[0192] The fault indication information acquisition module is used to acquire fault indication information for a target faulty base station reported by the base station health monitoring tool. The target faulty base station is any one of multiple base stations.

[0193] The fifth retrieval module is used by the intelligent retrieval component to perform fault diagnosis based on fault indication information and base station configuration knowledge base, and obtain the fault diagnosis result corresponding to the target faulty base station.

[0194] The visualization module is used to visualize fault indication information and fault diagnosis results.

[0195] It should be noted that the apparatus and method embodiments described above are based on the same inventive concept.

[0196] On the other hand, embodiments of this application provide a communication device management device, which includes a processor and a memory. The memory stores at least one instruction or at least one program, which is loaded and executed by the processor to implement the communication device management method provided in the above method embodiments.

[0197] On the other hand, embodiments of this application also provide a computer-readable storage medium, which can be disposed in a communication device management device to store at least one instruction or at least one program related to implementing the communication device management method in the method embodiments. The at least one instruction or the at least one program is loaded and executed by the processor to implement the communication device management method provided in the above method embodiments.

[0198] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0199] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, the above embodiments can be arbitrarily combined to obtain other embodiments.

[0200] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not described in detail in one embodiment can be found in the relevant descriptions of other embodiments. Those skilled in the art will also understand that the various illustrative logical blocks, units, and steps listed in the embodiments of the present invention can be implemented using electronic hardware, computer software, or a combination of both. To clearly demonstrate the interchangeability of hardware and software, the functions of the various illustrative components, units, and steps described above have been generally described. Whether such functions are implemented through hardware or software depends on the specific application and the overall system design requirements. Those skilled in the art can implement the above functions using various methods for each specific application, but such implementations should not be construed as exceeding the scope of protection of the embodiments of the present invention.

[0201] The foregoing description has fully disclosed the specific embodiments of the present invention. It should be noted that any modifications made to the specific embodiments of the present invention by those skilled in the art do not depart from the scope of the claims. Accordingly, the scope of the claims is not limited to the foregoing specific embodiments.

Claims

1. A method for managing communication equipment, characterized in that, The method is applied to a communication equipment management system, which includes: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface. The intelligent retrieval component includes: a base station configuration knowledge base and a base station service database. The base station management toolchain includes: a base station configuration planning tool and a base station configuration distribution tool. The base station management interface is used to communicate with multiple base stations. The method includes: Obtain user input information; When the user input information indicates that base station parameters should be configured, the management intent recognition model is used to parse the base station to be configured and the operating parameters to be configured corresponding to the user input information. The intelligent retrieval component performs knowledge retrieval on the base station configuration knowledge base to determine configuration-related data associated with the operating parameters to be configured. The configuration-related data includes: target device status field and configuration guidance knowledge data. Based on the target device status field, the base station service database is queried to determine the real-time device status data associated with the base station to be configured. The base station configuration agent makes configuration behavior decisions based on the operating parameters to be configured, and generates a first invocation instruction for the base station configuration planning tool and the base station configuration distribution tool. Based on the first invocation instruction, the base station configuration planning tool is invoked, and the parameter values ​​for the base station to be configured are planned according to the configuration guidance knowledge data and the real-time device status data, so as to obtain the planned parameter values. Based on the first invocation instruction, the base station configuration distribution tool is invoked, and a first parameter configuration instruction is issued to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planning parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the planning parameter values.

2. The method according to claim 1, characterized in that, The system further includes: a batch operation intelligent agent; the base station management toolchain further includes: a base station batch operation tool; and the method further includes: When the user input information indicates that a batch operation of the base station is to be performed, the base station search keywords and operation type corresponding to the user input information are analyzed based on the management intent recognition model. The base station search keywords include at least one of the following keywords: device identification keywords, geographic location keywords, device status keywords, and device provider keywords. The intelligent retrieval component performs a base station query on the base station service database based on the base station search keywords to determine at least two base stations to be operated from among the plurality of base stations; The batch operation agent makes operation behavior decisions based on the operation type and generates a second invocation instruction for the base station batch operation tool. Based on the second invocation instruction, the base station batch operation tool is invoked, and base station operation instructions corresponding to the operation type are issued to the at least two base stations to be operated through the base station management interface, so that the at least two base stations to be operated can perform the base station operation corresponding to the operation type.

3. The method according to claim 1, characterized in that, The method further includes: When the user input information indicates intelligent question answering, the question intent type and query keywords corresponding to the user input information are analyzed based on the management intent recognition model. When the question intent type is base station operation and maintenance knowledge retrieval, the intelligent retrieval component performs associated knowledge retrieval on the base station configuration knowledge base based on the query keywords to obtain knowledge retrieval results, and outputs base station knowledge response information corresponding to the user input information based on the knowledge retrieval results; When the question intent type is a base station operation status query, the intelligent retrieval component performs a status query on the base station service database based on the query keywords to obtain the status query results, and outputs the status response information corresponding to the user input information based on the status query results.

4. The method according to claim 1, characterized in that, When the user input information indicates that base station parameters should be configured, the method further includes: Based on the management intent recognition model, the user input information is analyzed to determine the base station to be configured, the operating parameters to be configured, and the input parameter values ​​corresponding to the operating parameters to be configured. The base station configuration agent makes configuration behavior decisions based on the operating parameters to be configured and the input parameter values, and generates a third invocation command for the base station configuration distribution tool; Based on the third invocation instruction, the base station configuration distribution tool is invoked, and a second parameter configuration instruction is issued to the base station to be configured through the base station management interface. The second parameter configuration instruction carries the operating parameters to be configured and the input parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the input parameter values.

5. The method according to claim 1, characterized in that, The base station management toolchain also includes: a base station health monitoring tool, and the method further includes: The base station health monitoring tool is invoked to periodically obtain the equipment operation status data of the multiple base stations through the base station management interface, and the base station service database is updated in real time based on the equipment operation status data.

6. The method according to claim 5, characterized in that, The method further includes: Obtain fault indication information for a target faulty base station reported by the base station health monitoring tool, wherein the target faulty base station is any one of the plurality of base stations; The intelligent retrieval component performs fault diagnosis based on the fault indication information and the base station configuration knowledge base to obtain the fault diagnosis result corresponding to the target faulty base station. The fault indication information and the fault diagnosis results are displayed visually.

7. A communication equipment management system, characterized in that, The system includes: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface. The intelligent retrieval component includes: a base station configuration knowledge base and a base station service database. The base station management toolchain includes: a base station configuration planning tool and a base station configuration distribution tool. The base station management interface is used to communicate with multiple base stations. The system is used to execute the communication device management method as described in any one of claims 1 to 6.

8. A communication equipment management device, characterized in that, The device is applied to a communication equipment management system, which includes: a management intent recognition model, a base station configuration intelligent agent, a base station management toolchain, an intelligent retrieval component, and a base station management interface. The intelligent retrieval component includes: a base station configuration knowledge base and a base station service database. The base station management toolchain includes: a base station configuration planning tool and a base station configuration distribution tool. The base station management interface is used to communicate with multiple base stations. The device includes: The user input information acquisition module is used to acquire user input information; The parameter configuration intent parsing module is used to parse the base station to be configured and the operating parameters to be configured corresponding to the user input information based on the management intent recognition model when the user input information indicates that base station parameters should be configured. The first retrieval module is used to perform knowledge retrieval on the base station configuration knowledge base by the intelligent retrieval component, determine the configuration association data related to the operating parameters to be configured, the configuration association data includes: target device status field and configuration guidance knowledge data, and based on the target device status field, perform device status query on the base station service database to determine the real-time device status data associated with the base station to be configured; The first decision module is used to make configuration behavior decisions by the base station configuration agent based on the configuration operation parameters to be configured, and generate a first invocation instruction for the base station configuration planning tool and the base station configuration distribution tool. The base station configuration planning module is used to invoke the base station configuration planning tool based on the first invocation instruction, and to plan the parameter values ​​for the base station to be configured based on the configuration guidance knowledge data and the real-time device status data, so as to obtain the planned parameter values. The base station configuration distribution module is used to invoke the base station configuration distribution tool based on the first invocation instruction, and to issue a first parameter configuration instruction to the base station to be configured through the base station management interface. The first parameter configuration instruction carries the operating parameters to be configured and the planning parameter values, so that the base station to be configured can configure the operating parameters to be configured based on the planning parameter values.

9. A communication equipment management device, characterized in that, The device includes a processor and a memory, the memory storing at least one instruction or at least one program, the at least one instruction or the at least one program being loaded and executed by the processor to implement the communication device management method as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction or at least one program segment, which is loaded and executed by a processor to implement the communication device management method as described in any one of claims 1 to 6.

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