Base Station Information Processing Method and Apparatus

Abstract

The present invention provides a method and apparatus for processing base station information, which relates to the technical field of data processing. The method includes: inputting a query request text into a base station information large language model, and combining with a base station information knowledge base to output structured query instruction information corresponding to the query request text; the structured query instruction information includes: a base station number, time information, and base station capability information; determining a corresponding target base station according to the base station number, and generating an information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular, to a method and device for processing base station information. Background Art

[0002] As one of the infrastructure of modern society, the coverage and service quality of the current mobile communication network are constantly improving. As the core component of this network, the number and distribution of base stations are becoming increasingly extensive. They not only carry the heavy responsibility of data transmission but also contain huge resource potential and development space. However, the functions of traditional base stations mainly focus on providing wireless communication services. How to utilize their unique physical advantages, such as height advantages, strong power coverage, and wide geographical distribution, to empower more industry applications is worthy of in-depth exploration.

[0003] Therefore, how to more effectively utilize and process base station information has become an urgent problem to be solved in the industry. Summary of the Invention

[0004] The present invention provides a method and device for processing base station information to solve the problem of how to more effectively utilize and process base station information in the prior art.

[0005] The present invention provides a method for processing base station information, including:

[0006] Input the query request text into the base station information large language model, and combine with the base station information knowledge base to output the structured query instruction information corresponding to the query request text; the structured query instruction information includes: base station number, time information, and base station capability information;

[0007] Determine the corresponding target base station according to the base station number, and generate the information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information.

[0008] According to the method for processing base station information provided by the present invention, the inputting the query request text into the base station information large language model, and combining with the base station information knowledge base to output the structured query instruction information corresponding to the query request text includes:

[0009] Input the query request text into the base station information large language model and input the first preset prompt word into the base station information large language model to obtain the first structured output; wherein, the first preset prompt word is used to guide the base station information large language model to extract key information from the query request text;

[0010] Input the first structured output and the second preset prompt word into the base station information large language model, and combine with the base station information knowledge base to obtain the structured query instruction information corresponding to the query request text; wherein, the second preset prompt word is used to guide the base station information large language model to convert the information in the first structured output into structured query instructions in combination with the base station information knowledge base.

[0011] According to a base station information processing method provided by the present invention, inputting the first structured output and the second preset prompt word into the base station information large language model, and combining with the base station information knowledge base to obtain the structured query instruction information corresponding to the query request text includes:

[0012] The base station information large language model uses the retrieval-augmented generation technology to search for base station data related to the first structured output in the base station information knowledge base;

[0013] According to the second preset prompt word, adjust the base station data related to the first structured output to the structured query instruction information corresponding to the query request text.

[0014] According to a base station information processing method provided by the present invention, the base station information knowledge base includes: base station number field, longitude and latitude field, city field, base station available capacity field, area type field, and area description field.

[0015] According to a base station information processing method provided by the present invention, before the step of inputting the query request text into the base station information large language model, combining with the base station information knowledge base, and outputting the structured query instruction information corresponding to the query request text, it further includes:

[0016] Based on the base station numbers of each base station, obtain the base station number fields of each base station;

[0017] Based on the base station positioning information of each base station, obtain the longitude and latitude fields, area type fields, area description fields, and city fields of each base station;

[0018] Based on the base station equipment installed on each base station, determine the base station available capacity field of each base station; wherein, the base station equipment includes at least one of the following: high-definition camera, ultrasonic radar, millimeter-wave radar, lidar, particle detector, thermal sensor.

[0019] According to a base station information processing method provided by the present invention, determine the corresponding target base station according to the base station number, and the target base station generates the information processing result corresponding to the query request text according to the time information and the base station capacity information, including:

[0020] Invoke the base station device data corresponding to the base station capability information in the target base station during the time period corresponding to the time information;

[0021] Determine the information processing result corresponding to the query request text according to the analysis result of the base station device data.

[0022] According to a base station information processing method provided by the present invention, after the step of determining the corresponding target base station according to the base station number, and generating the information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information, the method further includes:

[0023] Generate visual processing result information according to the information processing result.

[0024] According to a base station information processing method provided by the present invention, the base station capability information includes at least one of the following: fire monitoring capability, fishery administration management capability, environmental assessment capability, and traffic monitoring capability.

[0025] The present invention also provides a base station information processing device, including the following modules:

[0026] An output module, configured to input a query request text into a base station information large language model, and output structured query instruction information corresponding to the query request text in combination with a base station information knowledge base; the structured query instruction information includes: base station number, time information, and base station capability information;

[0027] A processing module, configured to determine a corresponding target base station according to the base station number, and generate an information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information.

[0028] According to a base station information processing device provided by the present invention, the device is further configured to:

[0029] Input the query request text into the base station information large language model and input a first preset prompt word into the base station information large language model to obtain a first structured output; wherein, the first preset prompt word is used to guide the base station information large language model to extract key information from the query request text;

[0030] Input the first structured output and a second preset prompt word into the base station information large language model, and combine the base station information knowledge base to obtain the structured query instruction information corresponding to the query request text; wherein, the second preset prompt word is used to guide the base station information large language model to convert the information in the first structured output into a structured query instruction in combination with the base station information knowledge base.

[0031] A base station information processing device provided according to the present invention, the device is further configured to:

[0032] The base station information large language model, through retrieval-augmented generation technology, searches for base station data related to the first structured output in the base station information knowledge base;

[0033] According to the second preset prompt word, adjust the base station data related to the first structured output to the structured query instruction information corresponding to the query request text.

[0034] A base station information processing device provided according to the present invention, the device is further configured to: obtain the base station number fields of each base station based on the base station numbers of each base station;

[0035] Based on the base station positioning information of each base station, obtain the longitude and latitude fields, area type fields, area description fields, and city fields of each base station;

[0036] Based on the base station equipment installed in each base station, determine the base station available capacity fields of each base station; wherein, the base station equipment includes at least one of the following: high-definition cameras, ultrasonic radars, millimeter-wave radars, lidars, particulate detectors, thermal sensors.

[0037] A base station information processing device provided according to the present invention, the device is further configured to: call the base station equipment data corresponding to the base station capability information in the target base station during the time period corresponding to the time information;

[0038] Based on the analysis result of the base station equipment data, determine the information processing result corresponding to the query request text.

[0039] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, it implements the base station information processing method as described in any one of the above.

[0040] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the base station information processing method as described in any one of the above.

[0041] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the base station information processing method as described in any one of the above.

[0042] The base station information processing method and device provided by the present invention can quickly and accurately understand and process user requirements through the combination of a large language model and a base station information knowledge base. The generation of structured query instructions ensures that the platform can accurately locate the target base station and call the corresponding capabilities. The base station can collect and process data in real time according to time information and capability information to provide the latest information. For the query of historical data, the base station can quickly retrieve log files and provide accurate structured query instruction information. The target base station calls the corresponding hardware devices and AI applications according to time information and base station capability information to generate the information processing results required by the user. It can effectively broaden the boundaries of traditional communication services and provide more accurate and real-time information services and regulatory support for various industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0044] Figure 1 It is a flowchart of the base station information processing method provided by the present invention;

[0045] Figure 2 It is a schematic diagram of optimization and adjustment provided by the present invention;

[0046] Figure 3 It is a flowchart of the intelligent operation and maintenance platform provided by the present invention;

[0047] Figure 4 It is a schematic diagram of the structure of the base station information processing device provided by the present invention;

[0048] Figure 5 It is a schematic diagram of the structure of the electronic device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0050] In this application, the base station is not only a traditional wireless communication infrastructure, but also a multi-functional intelligent node. By mounting a variety of hardware devices and integrating AI application capabilities, it realizes the full-process intelligence of data collection, processing, and feedback.

[0051] More specifically, the hardware devices of the base station, in addition to the base station hardware that realizes communication functions, may also include:

[0052] High-definition camera: Used to capture images and videos, supporting capabilities such as illegal parking monitoring, traffic monitoring, and species identification.

[0053] Ultrasonic radar: Used to detect obstacles and distances, supporting capabilities such as illegal parking monitoring and traffic monitoring.

[0054] Millimeter-wave radar: Used to detect the speed and distance of objects, supporting capabilities such as traffic monitoring and fire monitoring.

[0055] LiDAR: Used to generate high-precision 3D point cloud maps, supporting capabilities such as traffic monitoring and species identification.

[0056] Particle detector: Used to detect air quality, supporting environmental assessment capabilities.

[0057] Thermal sensor: Used to detect temperature changes, supporting fire monitoring capabilities.

[0058] In the present invention, through the mounted hardware devices, the base station can collect various types of data in real time, such as images, videos, radar data, sensor data, etc. The collected data is transmitted to the intelligent operation and maintenance platform through the base station for further processing and analysis.

[0059] Figure 1 It is a schematic flow diagram of the base station information processing method provided by the present invention. As Figure 1 shown, the method includes the following:

[0060] Step 110, input the query request text into the base station information large language model, and combine with the base station information knowledge base to output the structured query instruction information corresponding to the query request text; the structured query instruction information includes: base station number, time information, and base station capability information;

[0061] In the present invention, the query request text refers to the query requirements put forward by the user in natural language. For example: "Help me check if the road near the B Automobile Sales Store on Road A in xx City is congested now?"

[0062] The base station information large language model refers to a system based on the large language model (LLM) that can understand and process natural language queries and generate structured instructions.

[0063] In the present invention, the base station information knowledge base includes: a base station number field, a longitude and latitude field, a city field, a base station available capacity field, a region type field, and a region description field. By combining the base station information knowledge base, the large language model can obtain detailed information of the base station to ensure that the generated instructions are accurate.

[0064] In the present invention, the base station number refers to the unique identification number of the target base station, which is used to locate a specific base station; the time information refers to the time point queried by the user, which is used to obtain real-time data or historical data; the base station capacity information refers to the AI application capacity that the base station can carry, such as traffic monitoring, fire monitoring, etc.

[0065] In the present invention, the combination of the base station information large language model and the base station information knowledge base ensures that the system can accurately understand and process the user's natural language query and generate structured query instruction information. The instruction information containing the base station number, time information, and base station capacity information ensures that the platform can accurately call the corresponding capabilities of the target base station and generate the information processing result required by the user.

[0066] Step 120: Determine the corresponding target base station according to the base station number, and the target base station generates the information processing result corresponding to the query request text according to the time information and the base station capacity information.

[0067] In the present invention, through the base station number, the platform can quickly locate a specific base station to ensure the accuracy and timeliness of the instructions.

[0068] The time information in the structured query instruction is used to specify whether to obtain real-time data or historical data; the base station capacity information in the structured query instruction is used to specify the specific capabilities to be called by the target base station, such as traffic monitoring, fire monitoring, etc.

[0069] The target base station calls the corresponding hardware devices and AI applications according to the time information and the base station capacity information to generate the information processing result required by the user.

[0070] In the present invention, through the combination of the large language model and the base station information knowledge base, the user's needs can be quickly and accurately understood and processed. The generation of the structured query instruction ensures that the platform can accurately locate the target base station and call the corresponding capabilities. The base station can collect and process data in real time according to the time information and the capacity information to provide the latest information. For the query of historical data, the base station can quickly retrieve the log file and provide accurate structured query instruction information. The target base station calls the corresponding hardware devices and AI applications according to the time information and the base station capacity information to generate the information processing result required by the user. It can effectively broaden the boundaries of traditional communication services and provide more accurate and real-time information services and regulatory support for various industries.

[0071] Optionally, inputting the query request text into the base station information large language model, and combining with the base station information knowledge base to output the structured query instruction information corresponding to the query request text, including:

[0072] Input the query request text into the base station information large language model and input the first preset prompt word into the base station information large language model to obtain a first structured output; wherein, the first preset prompt word is used to guide the base station information large language model to extract key information from the query request text;

[0073] Input the first structured output and the second preset prompt word into the base station information large language model, and combine with the base station information knowledge base to obtain the structured query instruction information corresponding to the query request text; wherein, the second preset prompt word is used to guide the base station information large language model to combine with the base station information knowledge base to convert the information in the first structured output into a structured query instruction.

[0074] In the present invention, the first preset prompt word can be a prompt word for guiding the base station information large language model to extract key information from the query request text. For example, the prompt word may be a JSON format template that requires extracting time, city, location, and problem type. Input the query request text and the first preset prompt word into the base station information large language model, and the model generates a first structured output.

[0075] In the present invention, through the first preset prompt word, the model can accurately extract the key information in the user's query, providing a basis for the next step of processing.

[0076] In the present invention, the second preset prompt word can be a prompt word for guiding the base station information large language model to combine with the base station information knowledge base to convert the information in the first structured output into a structured query instruction. For example, the prompt word may be a JSON format template that requires extracting the base station number, capabilities, and time. In the present invention, input the first structured output and the second preset prompt word into the base station information large language model, and the model combines with the base station information knowledge base to generate structured query instruction information.

[0077] In the present invention, through the second preset prompt word and the base station information knowledge base, the model can convert the extracted key information into a structured query instruction, ensuring that the platform can accurately call the corresponding capabilities of the target base station.

[0078] In the present invention, the combination of the base station information large language model and the base station information knowledge base ensures that the system can accurately understand and process the user's natural language query and generate structured query instruction information. The instruction information including the base station number, time information, and base station capability information ensures that the platform can accurately call the corresponding capabilities of the target base station and generate the information processing result required by the user.

[0079] Optionally, input the first structured output and the second preset prompt word into the base station information large language model, and combine with the base station information knowledge base to obtain the structured query instruction information corresponding to the query request text, including:

[0080] The base station information large language model uses the retrieval augmented generation technology to search for base station data related to the first structured output in the base station information knowledge base;

[0081] According to the second preset prompt word, adjust the base station data related to the first structured output to the structured query instruction information corresponding to the query request text.

[0082] In the present invention, the first structured output may refer to the structured data containing key information such as time, city, location, and problem type obtained from the above steps.

[0083] In the present invention, the retrieval augmented generation technology combines information retrieval and large language model technologies, and can dynamically retrieve relevant information from an external knowledge base when generating text to improve the accuracy and reliability of the generated content.

[0084] The base station information knowledge base is a database storing information such as base station numbers, longitudes, latitudes, cities, available capabilities, region types, and region descriptions. The large language model uses the retrieval augmented generation technology to retrieve base station data related to the location and problem type in the first structured output from the base station information knowledge base. For example, according to the city "F" and the location "Daming Road Automobile Sales Store", relevant base stations are retrieved.

[0085] The second preset prompt word is used to guide the model to combine the retrieved base station data with the information in the first structured output to generate the final structured query instruction information. For example, the prompt word may be a JSON format template that requires extracting the base station number, capability, and time.

[0086] The model combines the retrieved base station data with the information in the first structured output according to the second preset prompt word to generate the structured query instruction information.

[0087] For example: "base station number": "12345678", "time": "2024-11-11 16:00:00", "capability name": "traffic monitoring".

[0088] In the present invention, the base station information large language model combines the base station information knowledge base through the RAG technology to accurately find the base station data related to the user's query. Through the second preset prompt word, the model can convert the extracted key information into a structured query instruction, ensuring that the platform can accurately call the corresponding capabilities of the target base station. This process ensures that users can obtain accurate and real-time information feedback, improving the intelligence level of the system and the user experience.

[0089] Optionally, the base station information knowledge base includes: a base station number field, a longitude and latitude field, a city field, a base station available capability field, a region type field, and a region description field.

[0090] In the present invention, the design of the base station information knowledge base consists of 7 fields, namely the base station number, longitude, latitude, city, available capabilities, region type, and region description.

[0091] Base station number: The unique identification number of each base station, and the identification rule belongs to the mobile operator.

[0092] Longitude and latitude: The geographical location where the base station equipment is located, and the value is accurate to 5 decimal places.

[0093] City: The name of the city where the base station equipment is located, a prefecture-level city.

[0094] Available capabilities: The name of the capabilities deployed on this base station, and there is no specific limit on the number of capabilities that can be deployed on a single base station.

[0095] Region type: A general description of the area where the base station is erected, and it can be used in conjunction with the large language model to quickly screen the target base station in specific applications.

[0096] Region description: A detailed description of the area where the base station is erected, including district, county, street, road, road number, and specific building or community information.

[0097] An example of the base station information knowledge base is shown in Table 1 below:

[0098] Table 1

[0099]

[0100] Optionally, before the step of inputting the query request text into the base station information large language model, combining the base station information knowledge base, and outputting the structured query instruction information corresponding to the query request text, it further includes:

[0101] Based on the base station numbers of each base station, obtain the base station number fields of each base station;

[0102] Based on the base station positioning information of each base station, obtain the longitude and latitude fields, region type fields, region description fields, and city fields of each base station;

[0103] Based on the base station equipment installed in each base station, determine the base station available capacity fields of each base station; wherein, the base station equipment includes at least one of the following: high-definition camera, ultrasonic radar, millimeter-wave radar, lidar, particulate detector, thermal sensor.

[0104] In the present invention, obtain the unique identification number of each base station, which is used to uniquely identify a base station in the knowledge base. Obtain the number of each base station through the base station information table provided by the mobile operator. The base station number can be a unique identifier such as "10000001", "11000002", "12000003", etc.

[0105] Based on the base station location information of each base station, obtain the longitude and latitude fields, area type field, area description field, and city field of each base station.

[0106] For example, longitude: 118.7965; latitude: 32.0603; city: Nanjing; area type: township, provincial road; area description: xx Marketing Center, xx Road, xx Street, xx District, xx City.

[0107] In the present invention, the base station equipment includes but is not limited to the following equipment:

[0108] High-definition camera: used to capture images and videos, supporting capabilities such as illegal parking monitoring, traffic monitoring, and species identification.

[0109] Ultrasonic radar: used to detect obstacles and distances, supporting capabilities such as illegal parking monitoring and traffic monitoring.

[0110] Millimeter-wave radar: used to detect the speed and distance of objects, supporting capabilities such as traffic monitoring and fire monitoring.

[0111] Lidar: used to generate high-precision three-dimensional point cloud maps, supporting capabilities such as traffic monitoring and species identification.

[0112] Particulate detector: used to detect air quality, supporting environmental assessment capabilities.

[0113] Thermal sensor: used to detect temperature changes, supporting fire monitoring capabilities.

[0114] In the present invention, according to the equipment type and function, determine the available capabilities of each base station, efficiently construct the base station information knowledge base, and ensure that the system can process user requirements quickly and accurately. The construction of the base station information knowledge base provides reliable data support for subsequent query processing, improving the intelligent level and user experience of the system.

[0115] Optionally, determine the corresponding target base station according to the base station number, and the target base station generates the information processing result corresponding to the query request text according to the time information and the base station capability information, including:

[0116] Invoke the base station device data corresponding to the base station capability information in the target base station during the time period corresponding to the time information;

[0117] Determine the information processing result corresponding to the query request text according to the analysis result of the base station device data.

[0118] In the present invention, the time information in the structured query instruction is used to specify whether to obtain real-time data or historical data, and the base station capability information in the structured query instruction is used to specify the specific capabilities to be invoked by the target base station, such as traffic monitoring, fire monitoring, etc.

[0119] The target base station collects data by invoking corresponding hardware devices according to the time information and the base station capability information. For example, traffic monitoring capabilities may require invoking cameras and radar devices to collect traffic flow data.

[0120] In the present invention, the target base station analyzes and processes the collected data. For example, traffic flow data can generate a flow chart, and fire monitoring data can generate early warning information.

[0121] In the present invention, user requirements can be efficiently processed to provide accurate and real-time information services. The combination of the base station information large language model and the base station information knowledge base ensures that the system can accurately understand and process natural language queries from users and generate structured query instruction information. The instruction information containing the base station number, time information, and base station capability information ensures that the platform can accurately invoke the corresponding capabilities of the target base station to generate the information processing results required by users.

[0122] Optionally, after the step of determining the corresponding target base station according to the base station number, and the target base station generating the information processing result corresponding to the query request text according to the time information and the base station capability information, the method further includes:

[0123] Generate visualization processing result information according to the information processing result.

[0124] In the present invention, the visualization processing result information enhances the user experience and satisfaction. The combination of the base station information large language model and the base station information knowledge base ensures that the system can accurately understand and process natural language queries from users and generate structured query instruction information. The instruction information containing the base station number, time information, and base station capability information ensures that the platform can accurately invoke the corresponding capabilities of the target base station to generate the information processing results required by users.

[0125] Figure 2 Schematic diagram of optimization and adjustment provided by the present invention, as shown in Figure 2 shown. In the information extraction and structured reorganization process, in addition to relying on the knowledge base and RAG tools, reasonable prompt engineering is also required for assistance. Among them, Prompt 1 and Prompt 2 will be optimized and adjusted in actual applications.

[0126] The user's question and Prompt 1 are input into the LLM;

[0127] The LLM obtains Output 1 according to the json format specified in Prompt 1. The output includes four items of information: time, city, location, and question.

[0128] Output 1 and Prompt 2 are input into the LLM;

[0129] The LLM is docked with the base station information knowledge base using the Retrieval-Augmented Generation (RAG) technology. According to the content in Output 1, the entry with the highest correlation degree is searched in the knowledge base;

[0130] Based on the knowledge base entry, the LLM obtains Output 2 according to the json format specified in Prompt 2. The output includes three items of information: base station number, time, and capability.

[0131] Figure 3 Schematic diagram of the intelligent operation and maintenance platform process provided by the present invention, as shown in Figure 3 shown. The intelligent operation and maintenance platform can serve as the platform carrier of the present invention's solution, mainly realizing the landing deployment of the functions and capabilities involved in the industry service capability integration module, base station information knowledge base construction module, and user demand recognition module. Taking the human-computer interaction assistant (external) as the entry, it uses a visual method to connect the entire process of the base station industry empowerment scenario in series.

[0132] The user accesses the platform and submits a query request;

[0133] The LLM receives the query request and, in cooperation with the base station information knowledge base, extracts the information of the user's question and outputs a structured instruction;

[0134] After the platform parses the instruction content, it sends the running instruction to the corresponding model capability of the corresponding base station;

[0135] The model capability obtains real-time results by calling the capability according to the instruction information, or obtains historical results by querying the log.

[0136] The base station transmits the model output back to the operation and maintenance platform. Since the output data format is generally complex, necessary visualization processing is required;

[0137] The platform submits the processed query results to the user, completing the current service call for the capability.

[0138] In the present invention, an innovative scenario for empowering the base station industry is realized with the platform as the carrier, the large model as the technical support, and the base station-mounted equipment as the basis, broadening the value of precious base station resources, exploring the application potential of base station resources in multiple fields such as fire monitoring, fishery administration, environmental assessment, and traffic monitoring, crossing the boundaries of traditional communication services, and providing more accurate and real-time information services and regulatory support for various industries.

[0139] The base station information processing device provided by the present invention will be described below. The base station information processing device described below can be mutually referred to corresponding to the base station information processing method described above.

[0140] Figure 4 It is a schematic structural diagram of the base station information processing device provided by the present invention, as Figure 4 shown, including: an output module 410 for inputting the query request text into the base station information large language model, and combining with the base station information knowledge base to output the structured query instruction information corresponding to the query request text; the structured query instruction information includes: base station number, time information, and base station capability information;

[0141] A processing module 420 is used to determine the corresponding target base station according to the base station number, and the target base station generates the information processing result corresponding to the query request text according to the time information and the base station capability information.

[0142] According to a base station information processing device provided by the present invention, the device is further used for:

[0143] Inputting the query request text into the base station information large language model and inputting a first preset prompt word into the base station information large language model to obtain a first structured output; wherein, the first preset prompt word is used to guide the base station information large language model to extract key information from the query request text;

[0144] Inputting the first structured output and a second preset prompt word into the base station information large language model, and combining with the base station information knowledge base to obtain the structured query instruction information corresponding to the query request text; wherein, the second preset prompt word is used to guide the base station information large language model to combine with the base station information knowledge base to convert the information in the first structured output into structured query instructions.

[0145] According to a base station information processing device provided by the present invention, the device is further used for:

[0146] The base station information large language model searches for base station data related to the first structured output in the base station information knowledge base through retrieval-enhanced generation technology;

[0147] According to the second preset prompt word, adjust the base station data related to the first structured output to the structured query instruction information corresponding to the query request text.

[0148] According to a base station information processing device provided by the present invention, the device is further configured to: obtain the base station number fields of each base station based on the base station numbers of each base station;

[0149] Obtain the longitude and latitude fields, area type fields, area description fields, and city fields of each base station based on the base station location information of each base station;

[0150] Determine the base station available capacity fields of each base station based on the base station equipment installed in each base station; wherein, the base station equipment includes at least one of the following: high-definition camera, ultrasonic radar, millimeter-wave radar, lidar, particulate detector, thermal sensor.

[0151] According to a base station information processing device provided by the present invention, the device is further configured to: call the base station equipment data corresponding to the base station capability information in the target base station during the time period corresponding to the time information;

[0152] Determine the information processing result corresponding to the query request text according to the analysis result of the base station equipment data.

[0153] Figure 5 is a schematic structural diagram of an electronic device provided by the present invention, as Figure 5 shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540. The processor 510 can call the logical instructions in the memory 530 to execute the base station information processing method, which includes: inputting the query request text into the base station information large language model, and combining with the base station information knowledge base to output the structured query instruction information corresponding to the query request text; the structured query instruction information includes: base station number, time information, and base station capability information;

[0154] Determine the corresponding target base station according to the base station number, and generate the information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information.

[0155] In addition, when the logical instructions in the above-mentioned memory 530 can be implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0156] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the base station information processing method provided by the above-mentioned various methods. The method includes: inputting a query request text into a base station information large language model, and combining with a base station information knowledge base to output structured query instruction information corresponding to the query request text; the structured query instruction information includes: base station number, time information, and base station capability information;

[0157] Determine the corresponding target base station according to the base station number, and generate an information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information.

[0158] In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the base station information processing method provided by the above-mentioned various methods. The method includes: inputting a query request text into a base station information large language model, and combining with a base station information knowledge base to output structured query instruction information corresponding to the query request text; the structured query instruction information includes: base station number, time information, and base station capability information;

[0159] Determine the corresponding target base station according to the base station number, and generate an information processing result corresponding to the query request text by the target base station according to the time information and the base station capability information.

[0160] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative efforts.

[0161] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A base station information processing method, characterized in that: include: Inputting the query request text into the base station information large language model, combining with the base station information knowledge base, and outputting the structured query instruction information corresponding to the query request text; The structured query instruction information includes: base station number, time information and base station capability information; Determine a corresponding target base station according to the base station number, and generate, by the target base station, an information processing result corresponding to the query request text according to the time information and the base station capability information; The base station is a wireless communication infrastructure, and the base station equipment includes at least one of the following: a high-definition camera, an ultrasonic radar, a millimeter-wave radar, a laser radar, a particle detector, and a thermal sensor; The high-definition camera is used to capture images and videos, and supports illegal parking monitoring, traffic monitoring, and species identification capabilities; The ultrasonic radar is used to detect obstacles and distances, and supports illegal parking monitoring and traffic monitoring capabilities; The millimeter wave radar is used to detect the speed and distance of an object and supports traffic monitoring and fire monitoring capabilities; The laser radar is used to generate high-precision three-dimensional point cloud images, supporting traffic monitoring and species identification capabilities; The base station information knowledge base includes: a base station number field, a latitude and longitude field, a city field, a base station available capacity field, an area type field and an area description field.

2. The base station information processing method according to claim 1, characterized in that: The step of inputting the query request text into the base station information large language model and combining it with the base station information knowledge base to output structured query instruction information corresponding to the query request text includes: Inputting the query request text into a base station information large language model and a first preset prompt word into the base station information large language model to obtain a first structured output; wherein the first preset prompt word is used to guide the base station information large language model to extract key information from the query request text; The first structured output and the second preset prompt word are input into a base station information large language model, and combined with the base station information knowledge base, structured query instruction information corresponding to the query request text is obtained; wherein the second preset prompt word is used to guide the base station information large language model, combined with the base station information knowledge base, to convert the information in the first structured output into a structured query instruction.

3. The base station information processing method according to claim 2, characterized in that: Inputting the first structured output and the second preset prompt word into the base station information large language model, and combining with the base station information knowledge base, obtaining structured query instruction information corresponding to the query request text, including: The base station information large language model searches the base station information knowledge base for base station data related to the first structured output by using a retrieval enhancement generation technology; According to the second preset prompt word, the base station data related to the first structured output is adjusted to the structured query instruction information corresponding to the query request text.

4. The base station information processing method according to claim 1, characterized in that: Before the step of inputting the query request text into the base station information large language model and outputting the structured query instruction information corresponding to the query request text in combination with the base station information knowledge base, the method further includes: Based on the base station number of each base station, obtain the base station number field of each base station; Based on the base station positioning information of each base station, the latitude and longitude fields, the area type field, the area description field and the city field of each base station are obtained; The base station available capability field of each base station is determined based on the base station equipment installed in each base station.

5. The base station information processing method according to claim 4, characterized in that: Determining a corresponding target base station according to the base station number, and generating, by the target base station, an information processing result corresponding to the query request text according to the time information and the base station capability information, including: Calling base station equipment data corresponding to the base station capability information in the target base station within a time period corresponding to the time information; According to the analysis result of the base station equipment data, an information processing result corresponding to the query request text is determined.

6. The base station information processing method according to claim 1, characterized in that: After the step of determining the corresponding target base station according to the base station number, and generating, by the target base station, an information processing result corresponding to the query request text according to the time information and the base station capability information, the method further includes: According to the information processing result, visualization processing result information is generated.

7. A base station information processing device, characterized in that: include: An output module, used to input the query request text into the base station information large language model, and output the structured query instruction information corresponding to the query request text in combination with the base station information knowledge base; The structured query instruction information includes: base station number, time information and base station capability information; A processing module, configured to determine a corresponding target base station according to the base station number, and the target base station generates an information processing result corresponding to the query request text according to the time information and the base station capability information; The base station equipment includes at least one of the following: a high-definition camera, an ultrasonic radar, a millimeter-wave radar, a laser radar, a particle detector, and a thermal sensor; The high-definition camera is used to capture images and videos, and supports illegal parking monitoring, traffic monitoring, and species identification capabilities; The ultrasonic radar is used to detect obstacles and distances, and supports illegal parking monitoring and traffic monitoring capabilities; The millimeter wave radar is used to detect the speed and distance of an object and supports traffic monitoring and fire monitoring capabilities; The laser radar is used to generate high-precision three-dimensional point cloud images, supporting traffic monitoring and species identification capabilities; The base station information knowledge base includes: a base station number field, a latitude and longitude field, a city field, a base station available capacity field, an area type field and an area description field.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the base station information processing method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the base station information processing method according to any one of claims 1 to 6 is implemented.

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

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