Network problem processing method and system and medium

Abstract

The invention provides a network problem processing method and system and a medium, and relates to the technical field of networks, in order to solve the problem of how to accurately analyze and process network problems, the method comprises the following steps: in a digital twin mobile network, simulating a real base station of a real mobile network to obtain a digital twin base station, obtaining network performance and service performance based on digital twin base station distribution, including obtaining network performance and service performance distributed around the digital twin base station in a rasterized manner; a network problem processing module simulates and processes network problems through digital twin base stations according to network performance and service performance based on digital twin base station distribution, and the network problems include positioning grids where the network problems are located and the digital twin base stations affecting the network performance and service performance of the grids where the network problems are located. According to the invention, the base station is simulated in the digital twin mobile network, the position and the base station causing the network problem are positioned, and the network problem processing efficiency is improved.

Description

Technical Field

[0001] The present disclosure at least relates to the field of network technology, and in particular to a network problem handling method, a network problem handling system, and a computer-readable storage medium. Background Art

[0002] When problems occur in the mobile network, it may cause user complaints. Handling network problems reported by users can solve problems that affect user perception and improve user satisfaction.

[0003] Existing technologies use big data platforms and artificial intelligence algorithms to analyze the causes of user complaints, locate network problems and formulate solutions. However, the accuracy of network problems and solutions cannot be determined, which affects the timely handling of network problems. Summary of the invention

[0004] The technical problem to be solved by the present disclosure is to provide a network problem processing method, a network problem processing system and a computer-readable storage medium in view of the above-mentioned deficiencies, so as to solve the problem of how to accurately analyze and process network problems.

[0005] In a first aspect, the present disclosure provides a method for handling a network problem, the method comprising:

[0006] In the digital twin mobile network, the real base stations of the real mobile network are simulated to obtain the digital twin base stations, and the network performance and service performance based on the distribution of the digital twin base stations are obtained, including obtaining the network performance and service performance around the grid distribution of the digital twin base stations;

[0007] The network problem processing module simulates and processes network problems through digital twin base stations based on the network performance and business performance based on the distribution of digital twin base stations, including locating the grid where the network problem is located and the digital twin base stations that affect the network performance and business performance of the grid.

[0008] Furthermore, the real base stations of the real mobile network are simulated to obtain digital twin base stations, and the network performance and service performance based on the distribution of digital twin base stations are obtained, including:

[0009] In the network basic information layer of the digital twin mobile network, three-dimensional modeling is used to build a digital twin base station based on the actual structure and location of the real base station, and the hardware configuration, parameter configuration, and fault information of the real base station are imported into the digital twin base station;

[0010] In the network performance information layer of the digital twin mobile network, the first twin network performance information of each digital twin base station and the second twin network performance information of the grid distribution around each digital twin base station are obtained according to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station;

[0011] In the service performance information layer of the digital twin mobile network, the twin service performance information distributed in a grid around each digital twin base station is obtained based on the twin network performance information and user service information;

[0012] Among them, the grid-distributed twin network performance information and twin business performance information are also obtained based on pre-optimized simulation parameters.

[0013] Furthermore, in the network basic information layer:

[0014] The actual structure and location of the real base station include: the real-time antenna tower structure, antenna structure, and geographical location of the real base station;

[0015] The hardware configuration includes antenna hardware specification information stored in real time in the database, and the parameter configuration includes antenna parameter configuration information stored in real time in the database;

[0016] Fault information is extracted in real time from network management equipment of real mobile networks.

[0017] Furthermore, in the network performance information layer:

[0018] According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated coverage level of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report reported by the terminal connected to the real base station at that time, a measured coverage level of the grid distribution around each real base station is obtained; and the simulated coverage level and the measured coverage level are compared to optimize the first simulation parameter so that the simulated coverage level is close to the measured coverage level;

[0019] According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated signal-to-noise ratio of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report or channel quality indication parameter reported by the terminal connected to the real base station at that time, a measured signal-to-noise ratio of the grid distribution around each real base station is obtained; and the simulated signal-to-noise ratio and the measured signal-to-noise ratio are compared to optimize the second simulation parameter so that the simulated signal-to-noise ratio is close to the measured signal-to-noise ratio;

[0020] The twin coverage level is obtained in real time through the first simulation parameter, the twin signal-to-noise ratio is obtained in real time through the second simulation parameter, the twin downlink interference is obtained in real time according to the twin coverage level and the twin signal-to-noise ratio, the actual load of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin load, and the actual uplink interference of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin uplink interference.

[0021] Furthermore, in the service performance information layer:

[0022] According to the current twin coverage level, twin signal-to-noise ratio, twin load, twin uplink interference, twin downlink interference and the location of the digital twin base station, the simulated service performance information of the grid distribution around each digital twin base station is obtained in advance;

[0023] Obtain the current user service performance information and user location information from the network management equipment of the real mobile network in advance, and obtain the measured service performance information distributed in a grid around each digital twin base station based on the user service performance information and user service location information;

[0024] Preliminarily comparing the simulated service performance information with the measured service performance information to optimize the third simulation parameter so that the simulated service performance information is similar to the measured service performance information;

[0025] The twin service performance information is obtained in real time through the third simulation parameter, and the service performance information includes uplink and downlink service rates, connection rate, call drop rate, and call quality.

[0026] Furthermore, based on the network performance and service performance based on the distribution of digital twin base stations, network problems are handled through digital twin base station simulation, including:

[0027] The complaint reporting module of the network problem processing module obtains user complaint information;

[0028] The problem solving module of the network problem processing module imports user complaint information into the digital twin mobile network, and obtains solutions to user complaint problems based on the network performance and business performance based on the digital twin base station distribution.

[0029] The network performance and business performance based on the distribution of digital twin base stations include: the first twin network performance information of each digital twin base station, and the second twin network performance information and twin business performance information distributed in a grid around each digital twin base station.

[0030] Furthermore, user complaint information is obtained, specifically including the following by the complaint reporting module:

[0031] Receive user complaints, including: complaining user, complaint time, and complaint business type;

[0032] Obtain the complaint signal of the complaining user from the signaling tracking system according to the complaining user and the complaint time;

[0033] Obtain the complaint location and complaint base station of the complaining user according to the complaint signaling;

[0034] The complaint location, complaint base station, and complaint service type are sent to the problem analysis module as complaint information.

[0035] Furthermore, solutions to user complaints are obtained based on the network performance and service performance based on the distribution of digital twin base stations, including:

[0036] The problem analysis unit of the problem solving module obtains the first network anomaly of the complaint location that may cause the complaint business type based on the second twin network performance information and twin business performance information rasterized around each digital twin base station, and obtains the second network anomaly of the complaint base station that may cause the complaint business type based on the first twin network performance information of each digital twin base station;

[0037] The solution verification unit of the problem-solving module changes the network basic information of the base station affecting the complaint location or the digital twin base station corresponding to the complaint base station in the digital twin mobile network to obtain a solution to the user complaint problem that eliminates the first network anomaly and the second network anomaly without introducing new network anomalies.

[0038] In a second aspect, the present disclosure provides a network problem handling system, the system comprising:

[0039] Digital twin mobile network, used to simulate real base stations of real mobile networks to obtain digital twin base stations, and obtain network performance and business performance based on the distribution of digital twin base stations, including obtaining network performance and business performance around the grid distribution of digital twin base stations;

[0040] The network problem processing module is connected to the digital twin mobile network and is used to simulate and process network problems through digital twin base stations based on the network performance and business performance based on the distribution of digital twin base stations, including locating the grid where the network problem is located and the digital twin base stations that affect the network performance and business performance of the grid.

[0041] In a third aspect, the present disclosure provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the network problem handling method as described above is implemented.

[0042] The present disclosure provides a network problem handling method, a network problem handling system and a computer-readable storage medium. By simulating base stations in a digital twin mobile network, network performance and business performance based on the distribution of twin base stations are obtained. When network problems are being handled, the digital twin base stations are used to simulate and handle network problems, which facilitates locating the location and base station that cause the network problem, thereby improving the efficiency of network problem handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of a method for handling network problems according to an embodiment of the present disclosure;

[0044] Figure 2is a structural diagram of a network problem handling system according to an embodiment of the present disclosure;

[0045] Figure 3 is a structural schematic diagram of a digital twin mobile network according to an embodiment of the present disclosure;

[0046] Figure 4 It is a structural schematic diagram of a network problem processing module according to an embodiment of the present disclosure;

[0047] Figure 5 is a structural diagram of another network problem processing system according to an embodiment of the present disclosure;

[0048] Figure 6 is a flow chart of a network problem analysis method according to an embodiment of the present disclosure;

[0049] Figure 7 is a flow chart of a method for verifying a network problem solution according to an embodiment of the present disclosure;

[0050] Figure 8 It is a flow chart of a method for handling user complaints according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0051] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.

[0052] It should be understood that the specific embodiments and drawings described herein are only used to explain the present disclosure rather than to limit the present disclosure.

[0053] It can be understood that, in the absence of conflict, the various embodiments of the present disclosure and the various features in the embodiments can be combined with each other.

[0054] It can be understood that, for the convenience of description, the drawings of the present disclosure only show parts related to the present disclosure, while parts irrelevant to the present disclosure are not shown in the drawings.

[0055] It can be understood that each module or unit involved in the embodiments of the present disclosure may correspond to only one entity structure, or may be composed of multiple entity structures, or multiple modules or units may be integrated into one entity structure.

[0056] It will be understood that, in the absence of conflict, the functions and steps marked in the flowcharts and block diagrams of the present disclosure may occur in an order different from that marked in the drawings.

[0057] It is understood that the flowcharts and block diagrams of the present disclosure illustrate the possible architectures, functions, and operations of the systems, devices, equipment, and methods according to the various embodiments of the present disclosure. Each box in the flowchart or block diagram may represent a module, unit, program segment, or code, which contains executable instructions for implementing the specified functions. Moreover, each box or combination of boxes in the block diagram and flowchart may be implemented by a hardware-based system that implements the specified functions, or may be implemented by a combination of hardware and computer instructions.

[0058] It can be understood that the modules and units involved in the embodiments of the present disclosure can be implemented by software or hardware, for example, the modules and units can be located in a processor.

[0059] Embodiment 1:

[0060] like Figure 1-2 As shown, the present disclosure provides a method for handling network problems, the method comprising:

[0061] S1. In the digital twin mobile network 1, a real base station of a real mobile network is simulated to obtain a digital twin base station, and network performance and service performance based on the distribution of the digital twin base stations are obtained, including obtaining network performance and service performance around the grid distribution of the digital twin base stations;

[0062] S2. Network problem processing module 2 simulates and processes network problems through digital twin base stations based on the network performance and business performance based on the distribution of digital twin base stations, including locating the grid where the network problem is located and the digital twin base stations that affect the network performance and business performance of the grid.

[0063] In this embodiment, by simulating base stations in the digital twin mobile network, network performance and business performance based on the distribution of twin base stations are obtained. When network problems are handled, the network problems are handled by simulating the digital twin base stations, which facilitates the location and base station that cause the network problems and improves the efficiency of network problem handling. For example, by obtaining the network performance and business performance of the grid distribution around the digital twin base station, the network problem point (grid) and the base station that causes the network problem at the point can be located, so that the base station can be processed to solve the network problem. The processing process first includes simulation processing in the digital twin mobile network 1, and after the simulation processing is successful, it can be applied to the real mobile network.

[0064] Combination Figure 3 As shown, in one embodiment, step S1 simulates a real base station of a real mobile network to obtain a digital twin base station, and obtains network performance and service performance based on the distribution of the digital twin base station, specifically including:

[0065] In the network basic information layer of the digital twin mobile network 1, according to the actual structure and location of the real base station, a digital twin base station is constructed using three-dimensional modeling, and the hardware configuration, parameter configuration, and fault information of the real base station are imported into the digital twin base station;

[0066] In the network performance information layer of the digital twin mobile network 1, the first twin network performance information of each digital twin base station and the second twin network performance information of the grid distribution around each digital twin base station are obtained according to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station;

[0067] In the service performance information layer of the digital twin mobile network 1, the twin service performance information distributed in a grid around each digital twin base station is obtained based on the twin network performance information and user service information;

[0068] Among them, the grid-distributed twin network performance information and twin business performance information are also obtained based on pre-optimized simulation parameters.

[0069] In this embodiment, the digital twin mobile network 1 is divided into three layers. Layer 1 is used to obtain basic network information, layer 2 is used to obtain network performance information, and layer 3 is used to obtain business performance information. The basic network information is used to establish a base station model, and the network performance information and business performance information are used to locate problem network areas. Therefore, it includes the first twin network performance information of each digital twin base station, and the second twin network performance information and twin business performance information rasterized around each digital twin base station. The rasterized second twin network performance information and twin business performance information can help locate network problems at the user's location. Both the twin network performance information and the twin business performance information are associated with the base station, and can locate and repair the base station with network problems.

[0070] In one implementation, in the network basic information layer:

[0071] The actual structure and location of the real base station include: the real-time antenna tower structure, antenna structure, and geographical location of the real base station;

[0072] The hardware configuration includes antenna hardware specification information stored in real time in the database, and the parameter configuration includes antenna parameter configuration information stored in real time in the database;

[0073] Fault information is extracted in real time from network management equipment of real mobile networks.

[0074] In one embodiment, in the network performance information layer:

[0075] According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated coverage level of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report reported by the terminal connected to the real base station at that time, a measured coverage level of the grid distribution around each real base station is obtained; and the simulated coverage level and the measured coverage level are compared to optimize the first simulation parameter so that the simulated coverage level is close to the measured coverage level;

[0076] According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated signal-to-noise ratio of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report or channel quality indication parameter reported by the terminal connected to the real base station at that time, a measured signal-to-noise ratio of the grid distribution around each real base station is obtained; and the simulated signal-to-noise ratio and the measured signal-to-noise ratio are compared to optimize the second simulation parameter so that the simulated signal-to-noise ratio is close to the measured signal-to-noise ratio;

[0077] The twin coverage level is obtained in real time through the first simulation parameter, the twin signal-to-noise ratio is obtained in real time through the second simulation parameter, the twin downlink interference is obtained in real time according to the twin coverage level and the twin signal-to-noise ratio, the actual load of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin load, and the actual uplink interference of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin uplink interference.

[0078] In one implementation, in the service performance information layer:

[0079] According to the current twin coverage level, twin signal-to-noise ratio, twin load, twin uplink interference, twin downlink interference and the location of the digital twin base station, the simulated service performance information of the grid distribution around each digital twin base station is obtained in advance;

[0080] Obtain the current user service performance information and user location information from the network management equipment of the real mobile network in advance, and obtain the measured service performance information distributed in a grid around each digital twin base station based on the user service performance information and user service location information;

[0081] Preliminarily comparing the simulated service performance information with the measured service performance information to optimize the third simulation parameter so that the simulated service performance information is similar to the measured service performance information;

[0082] The twin service performance information is obtained in real time through the third simulation parameter, and the service performance information includes uplink and downlink service rates, connection rate, call drop rate, and call quality.

[0083] like Figure 3 As shown, in this embodiment, the digital twin mobile network 1 includes three layers:

[0084] Layer 1, network basic information, including base station antenna location information, base station hardware configuration information, base station parameter configuration information, base station fault information, etc. The base station antenna location information adopts the 3D (3 Dimensions, three-dimensional) stereo modeling method to model the base station antenna and the building or antenna tower where it is located in 3D, and truly present the location of the antenna in reality; the base station hardware configuration information needs to convert the actual base station hardware specifications and parameters into hardware configuration data and store them in the database. The base station hardware configuration information includes antenna specification information; the base station parameter configuration information needs to store the actual base station parameter configuration information in the database; the base station fault information is extracted from the network management.

[0085] Layer 2, network performance information, uses simulation combined with the extraction of actual system indicators to obtain network performance information, including gridded coverage level, gridded signal-to-noise ratio, base station load, uplink and downlink interference, and other aspects. The gridded coverage level is obtained from two sources, one is obtained through the RF simulation of the antenna, and the other is obtained through the MR (Measurement Report) information reported by the terminal, and the two types of information are compared, and the gridded level formed by the MR information is used to verify the gridded level obtained by the RF simulation, and the RF simulation parameters are optimized for use in subsequent steps; the gridded signal-to-noise ratio is also obtained from two sources, one is obtained through the RF simulation of the antenna, and the other is obtained through the MR information reported by the terminal. If the MR information does not contain the signal-to-noise ratio, it is indirectly converted using parameter values ​​such as CQI (Channel Quality Indicator), and the rasterized signal-to-noise ratios obtained from the two sources are compared at the same time, and the rasterized signal-to-noise ratio formed by the MR information is used to verify the rasterized signal-to-noise ratio obtained by the RF simulation, and the RF simulation parameters are optimized for use in subsequent steps; the base station load is obtained from the network management index; the uplink interference situation is extracted from the network management, and the downlink interference situation is obtained by reverse reasoning of the level and the signal-to-noise ratio.

[0086] Layer 3, service performance information, this information is gridded, including uplink and downlink service rates, connection rate, call drop rate, call quality, etc. The gridded service performance information is obtained from two sources: one is obtained by simulation prediction based on network performance information, and the other is obtained from network management monitoring based on actual user usage. At the same time, the gridded service performance information obtained from the two aspects is compared, and the service performance information obtained from actual monitoring is used to verify the service performance information obtained by simulation prediction, and the simulation prediction parameters are optimized for use in the following steps.

[0087] The above is the establishment process of the three layers, which can be completed in advance, and then the data of actual changes in the real mobile network can be imported in real time to update the digital twin results. The optimization of simulation parameters can be completed using various AI (artificial intelligence) algorithms, which can be set to be optimized regularly or triggered under certain conditions. Some of the network performance information reflects the performance of the base station itself, and some reflects the network performance within the coverage area of ​​the base station. Due to the influence of factors such as the distance from the base station and obstructions, the network performance and business performance within the coverage area of ​​the base station will show raster characteristics.

[0088] Combination Figure 4 As shown, in one embodiment, step S2 simulates and processes network problems through digital twin base stations based on network performance and service performance based on the distribution of digital twin base stations, specifically including:

[0089] The complaint reporting module of the network problem processing module 2 obtains user complaint information;

[0090] The simulation processing module of the network problem processing module 2 imports user complaint information into the digital twin mobile network, and obtains solutions to user complaint problems based on the network performance and business performance based on the digital twin base station distribution.

[0091] The network performance and business performance based on the distribution of digital twin base stations include: the first twin network performance information of each digital twin base station, and the second twin network performance information and twin business performance information distributed in a grid around each digital twin base station.

[0092] In this embodiment, a user complaint handling method based on a digital twin mobile network 1 is provided, which can use the digital twin mobile network 1 to analyze the cause of the complaint problem and formulate a solution. After formulating the solution, the digital twin mobile network 1 can be used to simulate the network situation after the solution is implemented to observe whether the user complaint problem is solved and whether new problems are caused. If the problem is not solved or a new problem is caused, the problem analysis and solution formulation can be returned to be re-performed until the user complaint problem in the network after the simulation solution is implemented is solved and no new problems are caused, and then the actual solution is implemented to improve the efficiency of user complaint analysis and processing, ensure the accuracy of the user complaint solution, and avoid causing new user complaints.

[0093] In one implementation, obtaining user complaint information specifically includes, by a complaint reporting module:

[0094] Receive user complaints, including: complaining user, complaint time, and complaint business type;

[0095] Obtain the complaint signal of the complaining user from the signaling tracking system according to the complaining user and the complaint time;

[0096] Obtain the complaint location and complaint base station of the complaining user according to the complaint signaling;

[0097] The complaint location, complaint base station, and complaint service type are sent to the problem analysis module as complaint information.

[0098] In this embodiment, the complaint reporting module is connected to the signaling tracking system, which records the signaling messages when the user has a service, and tracks the signaling of the entire process from the wireless network to the core network, so as to extract the corresponding signaling messages for problem analysis when a user complaint occurs. User complaint information includes the location information of the complaint location, the type and details of the complaint service, etc. The type of complaint service may include no signal, dropped call, disconnection, inability to connect, poor voice call quality, low data service rate, etc.

[0099] Combination Figure 4 As shown, in one embodiment, a solution to a user complaint problem is obtained based on the network performance and service performance based on the distribution of digital twin base stations, specifically including:

[0100] The problem analysis unit of the simulation processing module obtains the first network anomaly of the complaint location that may cause the complaint business type based on the second twin network performance information and twin business performance information rasterized around each digital twin base station, and obtains the second network anomaly of the complaint base station that may cause the complaint business type based on the first twin network performance information of each digital twin base station;

[0101] The solution verification unit of the simulation processing module changes the network basic information of the base station affecting the complaint location or the digital twin base station corresponding to the complaint base station in the digital twin mobile network to obtain a solution to the user complaint problem that eliminates the first network anomaly and the second network anomaly without introducing new network anomalies.

[0102] In this embodiment, the problem analysis unit first simulates the network problem complained by the user, including: judging the first layer of causes of the network problem, that is, the network problem existing at the location of the complaining user, which may include low coverage level, low signal-to-noise ratio, insufficient resources, abnormal signaling, uplink or downlink interference, switching failure, etc.; judging the second layer of causes of the network problem, that is, the network problem existing at the base station connected by the complaining user, which may include long distance between base stations, overlapping coverage, high base station load, base station failure, high interference, unreasonable parameter settings, etc. Then the solution verification unit formulates a solution to the network problem based on the two layers of causes that cause the network problem, and verifies it in the digital twin network 1, to verify whether the network problem reflected by the complaining user has been solved, and to verify that the solution will not cause new network problems.

[0103] Combining the above process Figure 3As shown, the two-layer cause analysis is completed based on the information of layer 2 and layer 3 of the digital twin network 1. The verification process is to change the information of layer 1 of the digital twin network 1, twin out new information of layer 2 and layer 3, and repeatedly perform the problem analysis and solution verification process until a solution that meets the requirements is obtained.

[0104] A more specific example is detailed below:

[0105] The handling of mobile network user complaints is an important task in network optimization. By handling user complaints, we can solve the problems that affect user perception and improve user satisfaction. The problems complained by users generally include inability to connect, dropped calls, low data rates, etc. User complaint handling is generally divided into steps such as problem collection, problem analysis, solution formulation, solution execution, and effect evaluation. There are currently many means to analyze and locate problems and formulate solutions, including: manual analysis and decision-making based on on-site testing, manual analysis and decision-making based on platform data, and intelligent analysis and decision-making based on platform data.

[0106] Digital twins are the comprehensive use of information technologies such as perception, computing, and modeling. Through software definition, they describe, diagnose, predict, and make decisions about physical space, thereby achieving interactive mapping between physical space and cyberspace. Digital twins have typical characteristics such as digital fidelity, real-time interaction, foresight, and symbiosis and co-intelligence. Digital twins have been successfully applied to smart cities and smart manufacturing. Digital twins can also be used in mobile communication networks to twin mobile communication networks for network prediction, problem analysis, and solution formulation.

[0107] Therefore, this example proposes a mobile network user complaint handling system and method based on digital twins, which can use the digital twin mobile network to analyze the causes of complaint problems and formulate solutions. After formulating the solution, the digital twin mobile network can be used to simulate the network situation after the solution is implemented to observe whether the user complaint problem is solved and whether new problems are caused. If the problem is not solved or a new problem is caused, the problem analysis and solution formulation can be returned until the user complaint problem in the network after the simulation solution is implemented is solved and no new problems are caused. Then the actual solution is implemented to improve the efficiency of user complaint analysis and processing, ensure the accuracy of the user complaint solution, and avoid causing new user complaints.

[0108] like Figure 5 As shown, a mobile network user complaint processing system based on digital twin is provided in this example. The system includes five parts: 01 digital twin mobile network, 02 signaling tracking system, 03 user complaint information reporting module, 04 user complaint problem analysis and processing module, and 05 solution effect verification module.

[0109] 01Mobile network of digital twin, such as Figure 3As shown, it has been introduced before and will not be repeated here.

[0110] 02Signaling tracking system: The signaling tracking system is used to record the signaling messages when users conduct business. The entire signaling process from the wireless network to the core network is tracked so that the corresponding signaling messages can be extracted for problem analysis when user complaints occur.

[0111] 03 User complaint information reporting module, user complaint information includes: complaint location location information, complaint service type and details, etc. The complaint service type may include no signal, dropped call, disconnection, unable to connect, poor voice call quality, low data service rate, etc.

[0112] 04User complaint analysis and processing module, such as Figure 6 As shown, the analysis and processing of user complaint problems specifically includes the following three steps:

[0113] S401. Determine the first-level cause of the problem: Based on the complaint information reported by the user, extract the corresponding signaling message from the constructed 02 signaling tracking system, and analyze the signaling before and after the problem occurs; extract the layer 2 network performance information and layer 3 service performance information of the constructed 01 digital twin mobile network, combine the signaling message, and use the AI ​​algorithm to determine the first-level cause of the problem. The first-level cause may include low coverage level, low signal-to-noise ratio, insufficient resources, abnormal signaling, uplink or downlink interference, switching failure, etc.

[0114] S402, determine the second-layer cause of the problem: Based on the first-layer cause of the problem, combined with signaling, 01 digital twin mobile network layer 2 network performance information, layer 3 service performance information, use AI algorithms to dig deeper second-layer causes. The second-layer cause is the cause that caused the first-layer cause. The second-layer cause may include long base station distance, overlapping coverage, high base station load, base station failure, high interference, unreasonable parameter settings, etc.

[0115] S403, formulate solutions: According to the second layer of the problem, combined with the layer 1 network basic information of the digital twin mobile network, use AI algorithms to formulate solutions. Solutions may include adjusting the antenna azimuth, adjusting the antenna downtilt angle, adding base stations, expanding base station capacity, eliminating base station faults, eliminating interference, modifying parameters, etc.

[0116] 05 Solution Effect Verification Module applies the solution developed by 04 User Complaint Analysis and Processing Module to the 01 Digital Twin mobile network for implementation, and evaluates whether the complaint problem has been solved and whether new problems have arisen. Figure 7 As shown, the module follows the following steps:

[0117] S501, implementing the solution in the mobile network of the 01 digital twin: applying the solution formulated by the 04 user complaint problem analysis and processing module to the mobile network of the 01 digital twin for implementation;

[0118] S502. Use RF simulation and artificial intelligence to predict the network status after the solution is implemented: In the 01 digital twin mobile network, use antenna RF simulation, network artificial intelligence prediction and other means to simulate and predict the layer 1, layer 2, and layer 3 content of the mobile network after the solution is implemented. The RF simulation parameters and service performance simulation prediction parameters are executed using the parameters optimized in the early stage;

[0119] S503, evaluate whether the original complaint has been resolved: simulate the service of multiple user complaints and evaluate whether the complaint problem has been resolved;

[0120] S504. Evaluate whether new problems have emerged at the complaint location and its surrounding areas: Based on the simulation prediction results, evaluate whether there are any abnormalities in the layer 2 network performance information and layer 3 business performance information related indicators at the complaint location and its surrounding areas. If there are no abnormalities, it means that no new problems have emerged.

[0121] If the simulated user complaint problem is solved in the 01 digital twin mobile network and no new problems arise in the network, the solution will be implemented in the actual network. Otherwise, the effectiveness and feasibility of the solution will be rechecked.

[0122] After the digital twin-based mobile network user complaint processing system is established, a digital twin-based mobile network user complaint processing method can be used to handle user complaints. Figure 8 As shown, the specific steps include:

[0123] S01. The user reports the complaint information using the 03 user complaint information reporting module;

[0124] S02. Complaint handling personnel use the 04 user complaint problem analysis and processing module to analyze the causes of complaints and develop solutions;

[0125] S03. Use the 05 solution effect verification module to verify the effectiveness and security of the solution to ensure that user complaints are resolved in the 01 digital twin mobile network and no new network problems are caused;

[0126] S04. Implement the solution in the actual network;

[0127] S05. Conduct user return visits and monitor actual network indicators.

[0128] This embodiment has the following features and advantages:

[0129] 1) It is proposed to use digital twin mobile networks to handle complaints. Digital twin mobile networks are usually used for prediction-based network resource adjustment, network configuration optimization, etc., but using them in complaint analysis and processing can give full play to their value and improve the efficiency, accuracy and effectiveness of complaint analysis and processing. When solving complaint problems, the focus is on solving network problems from a point perspective, which is similar to network complaint processing. The processing basis is the complaint problem point reported by the user, and the analysis and processing tool is the digital twin mobile network plus signaling system.

[0130] 2) A three-layer construction method is proposed to construct the digital twin mobile network, including layer 1 network basic information, layer 2 network performance information, and layer 3 business performance information. The layer 2 network performance information and layer 3 business performance information are both rasterized. Not only the physical and visible layer 1 information such as network configuration is incorporated into the digital twin mobile network, but also the non-physical and invisible network performance and business performance information is incorporated into the digital twin mobile network, which is helpful for problem analysis and solution formulation.

[0131] 3) When constructing the digital twin mobile network, the layer 2 network performance information and layer 3 business performance information are both obtained through network simulation + actual indicator extraction, and the actual indicators are used to optimize the network simulation parameters to make the network simulation more realistic. The optimized network simulation parameters are used to verify the effect after the implementation of the solution to verify whether the complaint problem has been resolved and whether new problems have arisen in the network.

[0132] 4) Combine the signaling system with the digital twin system to analyze complaint problems, using signaling as the basis for problem analysis. It not only shows the configuration of network resources, but also analyzes complaint problems. In-depth drilling of signaling messages and combining with the digital twin system can improve the accuracy of problem analysis.

[0133] 5) It is proposed to use a digital twin system to verify the effectiveness of the complaint handling solution and determine whether it has a negative impact on the network. This solution can greatly improve the effectiveness and reliability of the solution and avoid solving one problem but creating more problems.

[0134] Embodiment 2:

[0135] like Figure 2 As shown, the present disclosure provides a network problem handling system, the system comprising:

[0136] Digital twin mobile network 1, used to simulate real base stations of real mobile networks to obtain digital twin base stations, and obtain network performance and service performance based on the distribution of digital twin base stations, including obtaining network performance and service performance around the grid distribution of digital twin base stations;

[0137] The network problem processing module 2 is connected to the digital twin mobile network 1, and is used to simulate and process network problems through digital twin base stations based on the network performance and business performance based on the distribution of digital twin base stations, including locating the grid where the network problem is located and the digital twin base stations that affect the network performance and business performance of the grid.

[0138] like Figure 3 As shown, in one embodiment, the digital twin mobile network 1 specifically includes:

[0139] The network basic information layer is used to build a digital twin base station using three-dimensional modeling based on the actual structure and location of the real base station, and to import the hardware configuration, parameter configuration, and fault information of the real base station into the digital twin base station;

[0140] The network performance information layer is connected to the network basic information layer and is used to obtain the first twin network performance information of each digital twin base station and the second twin network performance information of the grid distribution around each digital twin base station according to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station;

[0141] The service performance information layer is connected to the network performance information layer and is used to obtain the twin service performance information distributed in a grid around each digital twin base station based on the twin network performance information and user service information;

[0142] Among them, the grid-distributed twin network performance information and twin business performance information are also obtained based on pre-optimized simulation parameters.

[0143] In one implementation, in the network basic information layer:

[0144] The actual structure and location of the real base station include: the real-time antenna tower structure, antenna structure, and geographical location of the real base station;

[0145] The hardware configuration includes antenna hardware specification information stored in real time in the database, and the parameter configuration includes antenna parameter configuration information stored in real time in the database;

[0146] Fault information is extracted in real time from network management equipment of real mobile networks.

[0147] In one embodiment, in the network performance information layer:

[0148] According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated coverage level of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report reported by the terminal connected to the real base station at that time, a measured coverage level of the grid distribution around each real base station is obtained; and the simulated coverage level and the measured coverage level are compared to optimize the first simulation parameter so that the simulated coverage level is close to the measured coverage level;

[0149] According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated signal-to-noise ratio of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report or channel quality indication parameter reported by the terminal connected to the real base station at that time, a measured signal-to-noise ratio of the grid distribution around each real base station is obtained; and the simulated signal-to-noise ratio and the measured signal-to-noise ratio are compared to optimize the second simulation parameter so that the simulated signal-to-noise ratio is close to the measured signal-to-noise ratio;

[0150] The twin coverage level is obtained in real time through the first simulation parameter, the twin signal-to-noise ratio is obtained in real time through the second simulation parameter, the twin downlink interference is obtained in real time according to the twin coverage level and the twin signal-to-noise ratio, the actual load of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin load, and the actual uplink interference of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin uplink interference.

[0151] In one implementation, in the service performance information layer:

[0152] According to the current twin coverage level, twin signal-to-noise ratio, twin load, twin uplink interference, twin downlink interference and the location of the digital twin base station, the simulated service performance information of the grid distribution around each digital twin base station is obtained in advance;

[0153] Obtain the current user service performance information and user location information from the network management equipment of the real mobile network in advance, and obtain the measured service performance information distributed in a grid around each digital twin base station based on the user service performance information and user service location information;

[0154] Preliminarily comparing the simulated service performance information with the measured service performance information to optimize the third simulation parameter so that the simulated service performance information is similar to the measured service performance information;

[0155] The twin service performance information is obtained in real time through the third simulation parameter, and the service performance information includes uplink and downlink service rates, connection rate, call drop rate, and call quality.

[0156] like Figure 4 As shown, in one embodiment, the network problem processing module 2 specifically includes:

[0157] Complaint reporting module, used to obtain user complaint information;

[0158] The simulation processing module is connected to the complaint reporting module to import user complaint information into the digital twin mobile network and obtain solutions to user complaint problems based on the network performance and business performance based on the digital twin base station distribution.

[0159] The network performance and business performance based on the distribution of digital twin base stations include: the first twin network performance information of each digital twin base station, and the second twin network performance information and twin business performance information distributed in a grid around each digital twin base station.

[0160] In one implementation, the complaint reporting module specifically includes:

[0161] The complaint receiving unit is used to receive user complaint content, including: complaining user, complaint time, and complaint business type;

[0162] The signaling tracking unit is connected to the complaint receiving unit and is used to obtain the complaint signaling of the complaining user from the signaling tracking system according to the complaining user and the complaint time;

[0163] The complaint location unit is connected to the signaling tracking unit and is used to obtain the complaint location and complaint base station of the complaining user according to the complaint signaling;

[0164] The information sending unit is connected to the complaint locating unit and is used to send the complaint location, complaint base station and complaint service type as complaint information to the problem analysis module.

[0165] In one embodiment, the simulation processing module specifically includes:

[0166] A problem analysis unit is used to obtain a first network anomaly of a complaint location that may cause a complaint service type based on the second twin network performance information and twin service performance information that are grid-distributed around each digital twin base station, and to obtain a second network anomaly of a complaint base station that may cause a complaint service type based on the first twin network performance information of each digital twin base station;

[0167] The solution verification unit is connected to the problem analysis unit and is used to change the network basic information of the base station affecting the complaint location or the digital twin base station corresponding to the complaint base station in the digital twin mobile network, so as to obtain a solution to the user complaint problem that eliminates the first network anomaly and the second network anomaly and does not introduce new network anomalies.

[0168] Embodiment 3:

[0169] Embodiment 3 of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the network problem processing method described in Embodiment 1 or the network problem processing device described in Embodiment 2 is implemented.

[0170] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program elements or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0171] In addition, the present disclosure may also provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the network problem processing method as described in Example 1. The computer device may be the network problem processing device as described in Example 2.

[0172] The memory is connected to the processor, the memory may be a flash memory or a read-only memory or other memory, and the processor may be a central processing unit or a single-chip microcomputer.

[0173] Embodiments 1-3 of the present disclosure provide a network problem handling method, a network problem handling system, and a computer-readable storage medium. By simulating base stations in a digital twin mobile network, network performance and service performance based on the distribution of twin base stations are obtained. When network problem handling is performed, the digital twin base station is used to simulate and handle network problems, which facilitates the location and base station that cause the network problem, thereby improving the efficiency of network problem handling.

[0174] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present disclosure, but the present disclosure is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and substance of the present disclosure, and these modifications and improvements are also considered to be within the scope of protection of the present disclosure.

Claims

1. A method for handling network problems, characterized in that: The method comprises: In the digital twin mobile network, the real base stations of the real mobile network are simulated to obtain the digital twin base stations, and the network performance and service performance based on the distribution of the digital twin base stations are obtained, including obtaining the network performance and service performance around the grid distribution of the digital twin base stations; The network problem processing module simulates and processes network problems through digital twin base stations based on the network performance and business performance based on the distribution of digital twin base stations, including locating the grid where the network problem is located and the digital twin base stations that affect the network performance and business performance of the grid.

2. The method according to claim 1, characterized in that Simulate real base stations in real mobile networks to obtain digital twin base stations, and obtain network performance and service performance based on the distribution of digital twin base stations, including: In the network basic information layer of the digital twin mobile network, three-dimensional modeling is used to build a digital twin base station based on the actual structure and location of the real base station, and the hardware configuration, parameter configuration, and fault information of the real base station are imported into the digital twin base station; In the network performance information layer of the digital twin mobile network, the first twin network performance information of each digital twin base station and the second twin network performance information of the grid distribution around each digital twin base station are obtained according to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station; In the service performance information layer of the digital twin mobile network, the twin service performance information distributed in a grid around each digital twin base station is obtained based on the twin network performance information and user service information; Among them, the grid-distributed twin network performance information and twin business performance information are also obtained based on pre-optimized simulation parameters.

3. The method according to claim 2, characterized in that In the network basic information layer: The actual structure and location of the real base station include: the real-time antenna tower structure, antenna structure, and geographical location of the real base station; The hardware configuration includes antenna hardware specification information stored in real time in the database, and the parameter configuration includes antenna parameter configuration information stored in real time in the database; Fault information is extracted in real time from network management equipment of real mobile networks.

4. The method according to claim 2, characterized in that: In the Network Performance Information layer: According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated coverage level of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report reported by the terminal connected to the real base station at that time, a measured coverage level of the grid distribution around each real base station is obtained; and the simulated coverage level and the measured coverage level are compared to optimize the first simulation parameter so that the simulated coverage level is close to the measured coverage level; According to the structure, location, hardware configuration, parameter configuration, and fault information of the digital twin base station at that time, a simulated signal-to-noise ratio of the grid distribution around each digital twin base station is obtained in advance; according to the measurement report or channel quality indication parameter reported by the terminal connected to the real base station at that time, a measured signal-to-noise ratio of the grid distribution around each real base station is obtained; and the simulated signal-to-noise ratio and the measured signal-to-noise ratio are compared to optimize the second simulation parameter so that the simulated signal-to-noise ratio is close to the measured signal-to-noise ratio; The twin coverage level is obtained in real time through the first simulation parameter, the twin signal-to-noise ratio is obtained in real time through the second simulation parameter, the twin downlink interference is obtained in real time according to the twin coverage level and the twin signal-to-noise ratio, the actual load of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin load, and the actual uplink interference of the real base station is obtained in real time from the network management equipment of the real mobile network as the twin uplink interference.

5. The method according to claim 4, characterized in that In the business performance information layer: According to the current twin coverage level, twin signal-to-noise ratio, twin load, twin uplink interference, twin downlink interference and the location of the digital twin base station, the simulated service performance information of the grid distribution around each digital twin base station is obtained in advance; Obtain the current user service performance information and user location information from the network management equipment of the real mobile network in advance, and obtain the measured service performance information distributed in a grid around each digital twin base station based on the user service performance information and user service location information; Preliminarily comparing the simulated service performance information with the measured service performance information to optimize the third simulation parameter so that the simulated service performance information is similar to the measured service performance information; The twin service performance information is obtained in real time through the third simulation parameter, and the service performance information includes uplink and downlink service rates, connection rate, call drop rate, and call quality.

6. The method according to any one of claims 1 to 5, characterized in that: Based on the network performance and service performance based on the distribution of digital twin base stations, network problems are handled through digital twin base station simulation, including: The complaint reporting module of the network problem processing module obtains user complaint information; The problem solving module of the network problem processing module imports user complaint information into the digital twin mobile network, and obtains solutions to user complaint problems based on the network performance and business performance based on the digital twin base station distribution. The network performance and business performance based on the distribution of digital twin base stations include: the first twin network performance information of each digital twin base station, and the second twin network performance information and twin business performance information distributed in a grid around each digital twin base station.

7. The method according to claim 6, characterized in that Obtain user complaint information, including the complaint reporting module: Receive user complaints, including: complaining user, complaint time, and complaint business type; Obtain the complaint signal of the complaining user from the signaling tracking system according to the complaining user and the complaint time; Obtain the complaint location and complaint base station of the complaining user according to the complaint signaling; The complaint location, complaint base station, and complaint service type are sent to the problem analysis module as complaint information.

8. The method according to claim 7, characterized in that Based on the network performance and service performance based on the distribution of digital twin base stations, solutions to user complaints are obtained, including: The problem analysis unit of the problem solving module obtains the first network anomaly of the complaint location that may cause the complaint business type based on the second twin network performance information and twin business performance information rasterized around each digital twin base station, and obtains the second network anomaly of the complaint base station that may cause the complaint business type based on the first twin network performance information of each digital twin base station; The solution verification unit of the problem-solving module changes the network basic information of the base station affecting the complaint location or the digital twin base station corresponding to the complaint base station in the digital twin mobile network to obtain a solution to the user complaint problem that eliminates the first network anomaly and the second network anomaly without introducing new network anomalies.

9. A network problem handling system, characterized in that: The system comprises: Digital twin mobile network, used to simulate real base stations of real mobile networks to obtain digital twin base stations, and obtain network performance and business performance based on the distribution of digital twin base stations, including obtaining network performance and business performance around the grid distribution of digital twin base stations; The network problem processing module is connected to the digital twin mobile network and is used to simulate and process network problems through digital twin base stations based on the network performance and business performance based on the distribution of digital twin base stations, including locating the grid where the network problem is located and the digital twin base stations that affect the network performance and business performance of the grid.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the network problem processing method according to any one of claims 1 to 8 is implemented.

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