Base station management method, device, equipment, storage medium and program product

Abstract

The invention relates to a base station management method and device, equipment, a storage medium and a program product, and relates to the technical field of computers. The method comprises the following steps: acquiring geographical location information, working state information and environment background information of at least one base station; for each base station, inputting the working state information and the environment background information of the base station into a trained large model, so as to extract the characteristics of the working state information through the large model, obtain the working state characteristics corresponding to the base station, extract the characteristics of the environment background information, and obtain the environment background characteristics corresponding to the base station; analyzing the working state feature and the environment background feature corresponding to the base station to obtain a first analysis result corresponding to the base station; generating a first operation instruction for the base station according to the first analysis result corresponding to the base station; and sending a first operation instruction for the base station to the base station based on the geographical location information of the base station, so that the base station executes an operation indicated by the first operation instruction. By adopting the method, the base station management efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a base station management method, apparatus, device, storage medium and program product. Background Art

[0002] For communication operators, as the number of base stations used to support communications continues to grow across the country, the coverage of base stations continues to expand, and the types of scenarios involved are also increasing. Therefore, efficient management of base stations is particularly important for communication operators. Efficient management of base stations can more reasonably schedule base station resources, reduce user complaints, and improve user satisfaction and user experience.

[0003] Traditional base station management methods mainly rely on the indicator characteristics, fault feedback and manual reporting of base stations, and perform a single demand analysis according to the fixed operation instruction generation logic. The demand analysis is mechanized, the base station resources cannot be reasonably scheduled, and it is impossible to respond to user needs in a timely and accurate manner, resulting in low base station management efficiency. Summary of the invention

[0004] Based on this, it is necessary to provide a base station management method, apparatus, device, storage medium and program product that can improve the efficiency of base station management in response to the above technical problems.

[0005] In a first aspect, the present application provides a base station management method, the method comprising:

[0006] Obtaining geographic location information, working status information, and environmental background information of at least one base station;

[0007] For each of the base stations, the working state information and the environmental background information of the base station are input into the trained large model, so as to extract the features of the working state information through the large model to obtain the working state features corresponding to the base station, and extract the features of the environmental background information to obtain the environmental background features corresponding to the base station;

[0008] Analyze the working state characteristics and the environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station;

[0009] generating a first operation instruction for the base station according to a first analysis result corresponding to the base station;

[0010] Based on the geographic location information of the base station, a first operation instruction for the base station is sent to the base station, so that the base station performs the operation indicated by the first operation instruction.

[0011] In one embodiment, the step of obtaining geographic location information of at least one base station includes:

[0012] For each base station in at least one base station, geographical location information associated with the base station is queried from a pre-built base station geographical information database; the geographical location information includes the latitude and longitude information, physical address keywords and historical data tags of the base station.

[0013] In one embodiment, the working status information and the environmental background information support multiple expressions in image modality, voice modality and text modality respectively; the large model is a multimodal large model that supports extracting the respective features of the working status information and the environmental background information in image modality, voice modality and text modality.

[0014] In one embodiment, the method further comprises:

[0015] After the base station completes executing the operation indicated by the first operation instruction, collecting feedback data of the base station;

[0016] Analyze the feedback data of the base station to obtain a second analysis result corresponding to the base station;

[0017] If it is determined that the first operation instruction is invalid based on the second analysis result corresponding to the base station, generating a second operation instruction for the base station according to the feedback data;

[0018] Based on the geographic location information of the base station, a second operation instruction for the base station is sent to the base station, so that the base station performs the operation indicated by the second operation instruction.

[0019] In one embodiment, the method further comprises:

[0020] According to a preset period, the large model is optimized and trained by using the working status information and the environmental background information of the at least one base station obtained within the preset period.

[0021] In one embodiment, the acquiring of geographic location information, working status information, and environmental background information of at least one base station includes:

[0022] Acquire initial geographic location information, initial working state information, and initial environmental background information of at least one base station from at least one data source;

[0023] The initial geographical location information, the initial working status information and the initial environmental background information are subjected to data standardization processing to obtain the geographical location information, the working status information and the environmental background information in a unified data format.

[0024] In a second aspect, the present application provides a base station management device, the device comprising:

[0025] An acquisition module, used to acquire geographic location information, working status information and environmental background information of at least one base station;

[0026] An extraction module is used to input the working state information and the environmental background information of each base station into a trained large model, so as to extract the features of the working state information through the large model to obtain the working state features corresponding to the base station, and extract the features of the environmental background information to obtain the environmental background features corresponding to the base station;

[0027] An analysis module, configured to analyze the working state characteristics and the environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station;

[0028] A generating module, configured to generate a first operating instruction for the base station according to a first analysis result corresponding to the base station;

[0029] A sending module is used to send a first operation instruction for the base station to the base station based on the geographic location information of the base station, so that the base station performs the operation indicated by the first operation instruction.

[0030] In a third aspect, the present application provides a computer device including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps in the method embodiments of the present application are implemented.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the method embodiments of the present application.

[0032] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the steps in the method embodiments of the present application when the computer program is executed by a processor.

[0033] The above-mentioned base station management method, apparatus, equipment, storage medium and program product obtain the geographic location information, working status information and environmental background information of at least one base station; for each base station, the working status information and environmental background information of the base station are input into a trained large model to extract the characteristics of the working status information through the large model to obtain the working status characteristics corresponding to the base station, and extract the characteristics of the environmental background information to obtain the environmental background characteristics corresponding to the base station; analyze the working status characteristics and environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station; generate a first operation instruction for the base station according to the first analysis result corresponding to the base station; based on the geographic location information of the base station, send the first operation instruction for the base station to the base station, so that the base station performs the operation indicated by the first operation instruction. Compared with the traditional base station management method, the present application inputs the working status information and environmental background information into a large model, extracts the working status characteristics of the working status information and the environmental background characteristics of the environmental background information through the large model, and analyzes the working status characteristics and the environmental background characteristics, and automatically generates accurate operation instructions based on the analysis results, and then accurately sends the operation instructions to the corresponding base station based on the geographical location information of the base station, so that the corresponding base station executes the operation indicated by the operation instructions, so that the precision of the operation instructions is improved to the individual base station level, which can respond to user needs in a timely and accurate manner, thereby improving the accuracy of base station resource scheduling and base station management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 An application environment diagram of a base station management method in an embodiment;

[0035] Figure 2 A schematic diagram of a flow chart of a base station management method in an embodiment;

[0036] Figure 3 is a structural block diagram of a base station management device in one embodiment;

[0037] Figure 4 is an internal structure diagram of a computer device in one embodiment;

[0038] Figure 5 FIG. 4 is a diagram showing the internal structure of a computer device in another embodiment. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0040] The base station management method provided in this application can be applied to Figure 1In the application environment shown. Among them, the base station 102 communicates with the server 104 through the network. The data storage system can be set up separately and can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other servers. Among them, the server 104 can be an independent physical server, or it can be a server cluster or distributed system composed of multiple physical servers, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, cloud security, host security and other network security services, CDN, and basic cloud computing services such as big data and artificial intelligence platforms.

[0041] Specifically, the server 104 may obtain geographic location information, working state information, and environmental background information of at least one base station 102. For each base station 102, the server 104 may input the working state information and environmental background information of the base station 102 into the trained large model, so as to extract the features of the working state information through the large model, obtain the working state features corresponding to the base station 102, extract the features of the environmental background information, and obtain the environmental background features corresponding to the base station 102. The server 104 may analyze the working state features and environmental background features corresponding to the base station 102, obtain the first analysis results corresponding to the base station 102, and generate the first operation instruction for the base station 102 according to the first analysis results corresponding to the base station 102. The server 104 may send the first operation instruction for the base station 102 to the base station 102 based on the geographic location information of the base station 102, so that the base station 102 performs the operation indicated by the first operation instruction.

[0042] It is understood that this embodiment does not limit this. It is understood that Figure 1 The application scenarios are only for illustration and are not limited to this.

[0043] In one embodiment, Figure 2 As shown, a base station management method is provided, which can be applied to a computer device, which can be a terminal or a server. This embodiment takes the method applied to a computer device as an example for description, and includes the following steps:

[0044] Step 202: Obtain geographic location information, working status information, and environmental background information of at least one base station.

[0045] Among them, the geographical location information of the base station is information used to locate the geographical location of the base station. Optionally, the geographical location information of the base station includes the latitude and longitude information of the base station, the physical address keyword and the historical data tag. Among them, the physical address keyword is information used to locate the area where the base station is located. For example, the physical address keyword can be No. XX, XX Road, XX Street or XX District. The historical data tag is used to identify the category of the area where the base station is located. For example, the historical data tag can be a campus category, a subway category or a building category. The working status information of the base station is information obtained when the base station is in a working state. Optionally, the working status information of the base station may include at least one of the signal coverage range of the base station, the number of user accesses, the communication flow and the power state. The environmental background information of the base station is the background information of the environment in which the base station is located. Optionally, the environmental background information of the base station may include at least one of time information, large-scale event information and holidays.

[0046] In one embodiment, the computer device can communicate with at least one base station, and the computer device can obtain the geographical location information, working status information and environmental background information of at least one base station through the communication channel between the computer device and each base station.

[0047] Step 204, for each base station, input the working status information and environmental background information of the base station into the trained large model, so as to extract the features of the working status information through the large model to obtain the working status features corresponding to the base station, extract the features of the environmental background information, and obtain the environmental background features corresponding to the base station.

[0048] Step 206: Analyze the working state characteristics and environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station.

[0049] The first analysis result is obtained by analyzing the working status characteristics and environmental background characteristics corresponding to the base station.

[0050] For example, if it is detected that the device frequently disconnects and reconnects, it is judged that the user network is poor, and energy saving should be reduced to restore the base station signal. If it is detected that the device temporarily uses bandwidth for a long time, it is judged that continuous data uploading or downloading is in progress, and attention should be paid to ensuring the stability of the user network.

[0051] Step 208: Generate a first operation instruction for the base station according to the first analysis result corresponding to the base station.

[0052] The first operation instruction is an operation instruction generated according to the first analysis result corresponding to the base station.

[0053] In one embodiment, the first operation instruction includes but is not limited to: dynamically adjusting base station power to optimize coverage, allocating bandwidth on demand to meet high traffic demands, load balancing high-load base stations to prevent congestion, and enabling temporary base stations in emergency scenarios to ensure communication capabilities.

[0054] Step 210: Send a first operation instruction for the base station to the base station based on the geographic location information of the base station, so that the base station performs the operation indicated by the first operation instruction.

[0055] In the above-mentioned base station management method, the geographical location information, working status information and environmental background information of at least one base station are obtained; for each base station, the working status information and environmental background information of the base station are input into a trained large model to extract the characteristics of the working status information through the large model to obtain the working status characteristics corresponding to the base station, and the characteristics of the environmental background information are extracted to obtain the environmental background characteristics corresponding to the base station; the working status characteristics and environmental background characteristics corresponding to the base station are analyzed to obtain a first analysis result corresponding to the base station; according to the first analysis result corresponding to the base station, a first operation instruction for the base station is generated; based on the geographical location information of the base station, the first operation instruction for the base station is sent to the base station, so that the base station performs the operation indicated by the first operation instruction. Compared with the traditional base station management method, the present application inputs the working status information and environmental background information into a large model, extracts the working status characteristics of the working status information and the environmental background characteristics of the environmental background information through the large model, and analyzes the working status characteristics and the environmental background characteristics, and automatically generates accurate operation instructions based on the analysis results, and then accurately sends the operation instructions to the corresponding base station based on the geographical location information of the base station, so that the corresponding base station executes the operation indicated by the operation instructions, so that the precision of the operation instructions is improved to the individual base station level, which can respond to user needs in a timely and accurate manner, thereby improving the accuracy of base station resource scheduling and base station management efficiency.

[0056] In one embodiment, the step of obtaining geographic location information of at least one base station includes: for each base station in the at least one base station, querying geographic location information associated with the base station from a pre-built base station geographic information library; the geographic location information includes the latitude and longitude information, physical address keywords and historical data tags of the base station.

[0057] In one embodiment, the base station identification of each base station is associated with the geographical location information of the corresponding base station and stored in a pre-built base station geographical information library. The geographical location information includes the latitude and longitude information, physical address keywords and historical data tags of the base station. For each base station, the computer device can query the geographical location information stored in association with the base station identification of the base station from the pre-built base station geographical information library.

[0058] In the above embodiment, an association relationship between the base station and various types of geographic location information is established in the base station geographic information database, which realizes the integration of various types of geographic location information of the base station, greatly improves the integrity and accuracy of the base station geographic information, solves the current problem of difficulty in accurate positioning of the base station, and improves the precision of operation instructions from the district and county level to the individual base station level, thereby improving the accuracy and effectiveness of sending operation instructions, thereby improving the accuracy of base station resource scheduling.

[0059] In one embodiment, the working status information and environmental background information support multiple expressions in image modality, voice modality and text modality respectively; the large model is a multimodal large model that supports extracting the respective features of the working status information and environmental background information in image modality, voice modality and text modality.

[0060] In the above embodiments, compared with the traditional base station management method that only supports text input, the present application introduces a multimodal large model that can support the input of working status information and environmental background information in a variety of expression forms under image mode, voice mode and text mode, avoiding the limitations of data input forms and improving the flexibility of data input.

[0061] In one embodiment, the method also includes: after the base station completes the operation indicated by the first operation instruction, collecting feedback data of the base station; analyzing the feedback data of the base station to obtain a second analysis result corresponding to the base station; if the first operation instruction is determined to be invalid based on the second analysis result corresponding to the base station, generating a second operation instruction for the base station based on the feedback data; based on the geographic location information of the base station, sending the second operation instruction for the base station to the base station, so that the base station performs the operation indicated by the second operation instruction.

[0062] The second analysis result is a result obtained by analyzing the feedback data of the base station. The second operation instruction is an operation instruction generated according to the feedback data of the base station.

[0063] In one embodiment, after the base station completes the operation indicated by the first operation instruction, it may return a reminder instruction to the computer device indicating that the operation has been completed. The computer device may receive and respond to the reminder instruction, collect feedback data of the base station such as the load condition of the base station and the adjustment of user behavior, and analyze the feedback data of the base station to obtain a second analysis result corresponding to the base station. If the first operation instruction is determined to be invalid based on the second analysis result corresponding to the base station, it means that the previous operation on the base station did not meet expectations. At this time, the computer device may generate a second operation instruction for the base station based on the feedback data, and send the second operation instruction for the base station to the base station based on the geographical location information of the base station, so that the base station performs the operation indicated by the second operation instruction.

[0064] In the above embodiment, if the feedback data of the base station does not meet expectations after the base station completes the operation indicated by the operation instruction, the operation instruction for the base station will be regenerated based on the feedback data, forming a closed-loop optimization mechanism, thereby further improving the base station resource scheduling accuracy and base station management efficiency, and improving user satisfaction.

[0065] In one embodiment, the method further includes: optimizing and training the large model according to a preset period using the working status information and environmental background information of at least one base station obtained within the preset period.

[0066] In the above embodiment, the large model is updated periodically and new data is incorporated into the training process, so that base station management can adapt to changes in the environment and user needs, further improving the data processing performance of the large model, thereby further improving the base station resource scheduling accuracy and base station management efficiency.

[0067] In one embodiment, obtaining geographic location information, working status information and environmental background information of at least one base station includes: obtaining initial geographic location information, initial working status information and initial environmental background information of at least one base station from at least one data source; performing data standardization processing on the initial geographic location information, initial working status information and initial environmental background information to obtain geographic location information, working status information and environmental background information in a unified data format.

[0068] Specifically, data from different data sources may have different data formats, and the computer device may obtain the initial geographic location information, initial working status information, and initial environmental background information of at least one base station from at least one data source. The initial geographic location information may include the initial longitude and latitude information, initial physical address keywords, and initial historical data tags of the base station. The computer device may perform data standardization processing on the initial geographic location information, initial working status information, and initial environmental background information to obtain geographic location information, working status information, and environmental background information in a unified data format. The geographic location information includes the longitude and latitude information, physical address keywords, and historical data tags of the base station.

[0069] In the above embodiment, by standardizing the geographic location information, working status information and environmental background information obtained from different data sources, the data format can be unified so that the geographic location information, working status information and environmental background information can be fully utilized, avoiding the problem that some data cannot participate in the base station management calculation process due to format problems, thereby further improving the base station resource scheduling accuracy and base station management efficiency.

[0070] It should be understood that, although each step in the flow chart of the above-mentioned embodiments is shown in order, these steps are not necessarily performed in order. Unless there is a clear explanation in this article, the execution of these steps does not have strict order restrictions, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the above-mentioned embodiments may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in order, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0071] In one embodiment, Figure 3 As shown, a base station management device 300 is provided, and the device specifically includes:

[0072] An acquisition module 302 is used to acquire geographic location information, working status information and environmental background information of at least one base station;

[0073] An extraction module 304 is used to input the working state information and environmental background information of each base station into the trained large model, so as to extract the features of the working state information through the large model to obtain the working state features corresponding to the base station, and extract the features of the environmental background information to obtain the environmental background features corresponding to the base station;

[0074] An analysis module 306 is used to analyze the working state characteristics and environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station;

[0075] A generating module 308, configured to generate a first operating instruction for the base station according to a first analysis result corresponding to the base station;

[0076] The sending module 310 is used to send a first operation instruction for the base station to the base station based on the geographical location information of the base station, so that the base station performs the operation indicated by the first operation instruction.

[0077] In one embodiment, the acquisition module 302 is also used to query geographic location information associated with each base station in at least one base station from a pre-built base station geographic information database; the geographic location information includes the latitude and longitude information, physical address keywords and historical data tags of the base station.

[0078] In one embodiment, the working status information and environmental background information support multiple expressions in image modality, voice modality and text modality respectively; the large model is a multimodal large model that supports extracting the respective features of the working status information and environmental background information in image modality, voice modality and text modality.

[0079] In one embodiment, the acquisition module 302 is also used to collect feedback data of the base station after the base station completes the operation indicated by the first operation instruction; the analysis module 306 is also used to analyze the feedback data of the base station to obtain a second analysis result corresponding to the base station; the generation module 308 is also used to generate a second operation instruction for the base station based on the feedback data if the first operation instruction is determined to be invalid based on the second analysis result corresponding to the base station; the sending module 310 is also used to send the second operation instruction for the base station to the base station based on the geographic location information of the base station, so that the base station performs the operation indicated by the second operation instruction.

[0080] In one embodiment, the apparatus further comprises:

[0081] The training module is used to optimize the large model according to a preset period by obtaining the working status information and environmental background information of at least one base station within the preset period.

[0082] In one embodiment, the acquisition module 302 is further used to acquire initial geographic location information, initial working state information and initial environmental background information of at least one base station from at least one data source;

[0083] The initial geographic location information, initial working status information and initial environmental background information are processed by data standardization to obtain the geographic location information, working status information and environmental background information in a unified data format.

[0084] The above-mentioned base station management device obtains the geographical location information, working status information and environmental background information of at least one base station; for each base station, the working status information and environmental background information of the base station are input into a trained large model to extract the characteristics of the working status information through the large model to obtain the working status characteristics corresponding to the base station, and extract the characteristics of the environmental background information to obtain the environmental background characteristics corresponding to the base station; analyze the working status characteristics and environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station; generate a first operation instruction for the base station according to the first analysis result corresponding to the base station; based on the geographical location information of the base station, send the first operation instruction for the base station to the base station, so that the base station performs the operation indicated by the first operation instruction. Compared with the traditional base station management method, the present application inputs the working status information and environmental background information into a large model, extracts the working status characteristics of the working status information and the environmental background characteristics of the environmental background information through the large model, and analyzes the working status characteristics and the environmental background characteristics, and automatically generates accurate operation instructions based on the analysis results, and then accurately sends the operation instructions to the corresponding base station based on the geographical location information of the base station, so that the corresponding base station executes the operation indicated by the operation instructions, so that the precision of the operation instructions is improved to the individual base station level, which can respond to user needs in a timely and accurate manner, thereby improving the accuracy of base station resource scheduling and base station management efficiency.

[0085] Each module in the above-mentioned base station management device can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0086] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a base station management method is implemented.

[0087] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a base station management method is implemented. The display unit of the computer device is used to form a visually visible image, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse, etc.

[0088] Those skilled in the art will understand that Figure 4 and Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0090] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0091] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0092] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0093] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0094] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0095] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A base station management method, characterized in that: The method comprises: Obtaining geographic location information, working status information, and environmental background information of at least one base station; For each of the base stations, the working state information and the environmental background information of the base station are input into the trained large model, so as to extract the features of the working state information through the large model to obtain the working state features corresponding to the base station, and extract the features of the environmental background information to obtain the environmental background features corresponding to the base station; Analyze the working state characteristics and the environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station; generating a first operation instruction for the base station according to a first analysis result corresponding to the base station; Based on the geographic location information of the base station, a first operation instruction for the base station is sent to the base station, so that the base station performs the operation indicated by the first operation instruction.

2. The method according to claim 1, characterized in that The step of obtaining geographical location information of at least one base station includes: For each base station in at least one base station, geographical location information associated with the base station is queried from a pre-built base station geographical information database; the geographical location information includes the latitude and longitude information, physical address keywords and historical data tags of the base station.

3. The method according to claim 1, characterized in that The working status information and the environmental background information support multiple expressions in image mode, voice mode and text mode respectively; the large model is a multimodal large model that supports extracting the respective features of the working status information and the environmental background information in image mode, voice mode and text mode.

4. The method according to claim 1, characterized in that: The method further comprises: After the base station completes executing the operation indicated by the first operation instruction, collecting feedback data of the base station; Analyze the feedback data of the base station to obtain a second analysis result corresponding to the base station; If it is determined that the first operation instruction is invalid based on the second analysis result corresponding to the base station, generating a second operation instruction for the base station according to the feedback data; Based on the geographic location information of the base station, a second operation instruction for the base station is sent to the base station, so that the base station performs the operation indicated by the second operation instruction.

5. The method according to claim 1, characterized in that The method further comprises: According to a preset period, the large model is optimized and trained by using the working status information and the environmental background information of the at least one base station obtained within the preset period.

6. The method according to any one of claims 1 to 5, characterized in that The acquiring of geographical location information, working status information and environmental background information of at least one base station includes: Acquire initial geographic location information, initial working state information, and initial environmental background information of at least one base station from at least one data source; The initial geographical location information, the initial working status information and the initial environmental background information are subjected to data standardization processing to obtain the geographical location information, the working status information and the environmental background information in a unified data format.

7. A base station management device, characterized in that: The device comprises: An acquisition module, used to acquire geographic location information, working status information and environmental background information of at least one base station; An extraction module is used to input the working state information and the environmental background information of each base station into a trained large model, so as to extract the features of the working state information through the large model to obtain the working state features corresponding to the base station, and extract the features of the environmental background information to obtain the environmental background features corresponding to the base station; An analysis module, configured to analyze the working state characteristics and the environmental background characteristics corresponding to the base station to obtain a first analysis result corresponding to the base station; A generating module, configured to generate a first operating instruction for the base station according to a first analysis result corresponding to the base station; A sending module is used to send a first operation instruction for the base station to the base station based on the geographic location information of the base station, so that the base station performs the operation indicated by the first operation instruction.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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