Multi-channel communication management method and system for 5G message application

Abstract

The invention relates to the technical field of communication, and discloses a multi-channel communication management method and system for a 5G message application, and the method comprises the steps: analyzing a behavior mode and a communication demand of a user type in the 5G message application, and constructing a communication demand analysis model of a target user; identifying a multi-channel communication mode of a 5G message application, and setting a personalized communication mechanism of a target user; identifying communication change characteristics of a target user, and setting a quality supervision system of a multi-channel communication mode; identifying a communication fault of the multi-channel communication mode, analyzing a fault formation reason of the communication fault, and constructing a fault recovery mechanism of the multi-channel communication mode based on the fault formation reason and a quality supervision system; and in combination with the communication demand analysis model, the quality supervision system and the fault recovery mechanism, executing multi-channel communication management of the 5G message application to obtain a management result. According to the invention, the multi-channel communication management quality and efficiency of the 5G message application can be improved.

Description

Technical Field

[0001] The present invention relates to a multi-channel communication management method and system for 5G message applications, belonging to the field of communication technologies. Background Art

[0002] 5G message applications refer to various specific application scenarios and services developed and implemented using 5G message technology, such as interactive services between enterprises and customers, multimedia information exchanges between individuals, etc. It integrates various media formats such as voice, text, pictures, and videos, and can provide users with a richer and more convenient communication experience. With the rapid development of 5G technology, 5G message applications, as a new type of communication method, have gradually become an important tool for personal and enterprise communication. To meet the increasingly complex communication needs of users, a multi-channel communication mode has emerged. However, due to differences in data formats, transmission protocols, service quality requirements, etc. among different communication channels, the management problem of multi-channel communication has become increasingly prominent.

[0003] In the prior art, the multi-channel communication management of 5G message applications mainly focuses on the network layer, and the optimization of end-to-end communication quality may not be fine enough. For example, in multi-device and multi-application scenarios, it cannot well optimize the communication channels according to the performance of terminal devices and user behaviors, resulting in communication quality problems for some users on specific devices or applications.

[0004] Therefore, there is an urgent need for a solution to improve the quality and efficiency of multi-channel communication management for 5G message applications. Summary of the Invention

[0005] The present invention provides a multi-channel communication management method and system for 5G message applications, and its main purpose is to improve the quality and efficiency of multi-channel communication management for 5G message applications.

[0006] To achieve the above purpose, a multi-channel communication management method for 5G message applications provided by the present invention includes: Obtain the 5G message application to be optimized and its corresponding target users, identify the user types of the target users, analyze the behavior patterns of the user types in the 5G message application, and based on the behavior patterns, identify the communication needs of the target users; According to the behavior patterns and the communication needs, construct a communication needs analysis model for the target users, based on the communication needs analysis model, identify the multi-channel communication methods of the 5G message application, and according to the multi-channel communication methods, set personalized communication mechanisms for the target users; Based on the communication requirements, query the usage devices of the target user, analyze the device limitation factors of the usage devices, identify the communication change characteristics of the target user according to the device limitation factors, and set up a quality supervision system for the multi-channel communication method based on the communication change characteristics; According to the quality supervision system, identify the communication faults of the multi-channel communication method, analyze the causes of the communication faults, and construct a fault recovery mechanism for the multi-channel communication method based on the causes of the faults and the quality supervision system; Combining the communication requirement analysis model, the quality supervision system and the fault recovery mechanism, perform multi-channel communication management for the 5G message application to obtain a management result.

[0007] Optionally, the analyzing the behavior pattern of the user type in the 5G message application includes: Extract the information interaction content corresponding to the user type in the 5G message application; Based on the information interaction content, identify the interaction scenarios of the user type; According to the interaction scenarios, analyze the function selection tendency of the user type; Analyze the message attributes of the information interaction content, and based on the message attributes, use the following formula to analyze the network dependence degree of the information interaction content: where k represents the network dependence degree of the information interaction content, represents the weight of the g-th message attribute, represents the ideal network state value corresponding to the g-th message attribute, represents the actual network state value of the g-th message attribute, represents the network state influence function at time t, represents the time period of the message attribute in network application, represents the adjustment factor corresponding to the message attribute, n represents the total number of message attributes, and g represents the category index of the message attributes; Collect the timestamps of the information interaction content, and based on the timestamps, identify the communication frequency of the user type; Combining the network dependence degree, the function selection tendency, the communication frequency and the message attributes, analyze the behavior pattern of the user type in the 5G message application.

[0008] Optionally, the identifying the communication requirements of the target user according to the behavior pattern includes: According to the behavior pattern, collect the interaction behavior data of the target user; Extract the message content type, message interaction times, and daily usage time of the target user from the interaction behavior data; Based on the message interaction times and the daily usage time, identify the communication activity and communication peak period of the target user; According to the message content type, analyze the message usage scenarios of the target user; Identify the interaction objects of the target user in the message usage scenarios, and recognize the interaction behaviors between the target user and the interaction objects; Based on the message content type and the interaction behaviors, analyze the demand tendency of the target user; Combining the communication activity, the message usage scenarios, the communication peak period, and the demand tendency, identify the communication needs of the target user.

[0009] Optionally, constructing the communication demand analysis model of the target user according to the behavior pattern and the communication needs includes: Extract the behavior characteristics of the target user according to the behavior pattern; Based on the behavior characteristics, perform classification processing on the target user to obtain classified users; According to the communication needs, identify the communication function types of the classified users; Identify the corresponding scenario types, device types, and network types of the classified users from the communication function types; Based on the scenario types, the device types, and the network types, extract the corresponding scenario characteristics, device performance characteristics, and network status characteristics of the target user; Combining the scenario characteristics, the device performance characteristics, the behavior characteristics, and the network status characteristics, construct the communication demand analysis model of the target user.

[0010] Optionally, identifying the multi-channel communication methods of the 5G message application based on the communication demand analysis model includes: Based on the communication demand analysis model, analyze the user needs of the 5G message application; According to the user needs, identify the service functions, application scenarios, and terminal device performances of the 5G message application; Based on the service functions, identify the communication forms of the 5G message application; Extract the communication content type corresponding to the application scenario, and according to the communication content type, calculate the scenario switching frequency of the 5G message application using the following formula: where r represents the scenario switching frequency of the 5G message application, Indicates the contribution weight of the e-th type of communication content in scenario switching. Indicates the message sending frequency of the e-th type of communication content, M represents the total number of communication content types, and e represents the category index of the communication content type. Measure the network connection ability of the 5G message application based on the performance of the terminal device. Identify the multi-channel communication mode of the 5G message application by combining the network connection ability, the communication form, and the scenario switching frequency.

[0011] Optionally, setting the personalized communication mechanism for the target user according to the multi-channel communication mode includes: Determine the service type of the target user according to the multi-channel communication mode and identify the communication mode of the target user. Analyze the network resource usage and function tendency of the target user based on the communication mode and the service type. Extract the network load index of the target user according to the network resource usage. Identify the service priority of the target user based on the service type. Set the alternate communication path for the target user according to the network load index and the service priority. Set the personalized communication mechanism for the target user by combining the network resource usage, the function tendency, and the alternate communication path.

[0012] Optionally, analyzing the communication change characteristics of the target user according to the device limitation factors includes: Analyze the communication limitation effect of the device limitation factors on the target user. Extract the communication performance evaluation index of the target user based on the communication limitation effect. Identify the influencing factors of the communication performance evaluation index and calculate the correlation degree between the communication performance evaluation index and the device limitation factors according to the influencing factors. Construct a causal relationship model between the device limitation factors and the communication performance evaluation index based on the correlation degree. Identify the communication change characteristics of the target user according to the causal relationship model.

[0013] Optionally, setting the quality supervision system for the multi-channel communication mode based on the communication change characteristics includes: Identify the communication quality of the multi-channel communication mode based on the communication change characteristics. Collect the communication data under the multi-channel communication mode, and identify the change trend and potential problems of the communication quality according to the communication data; Analyze the influencing factors of the communication quality based on the change trend and the potential problems; Configure the real-time monitoring network of the communication quality according to the influencing factors; Identify the user communication status under the multi-channel communication mode based on the real-time monitoring network; Construct a feedback mechanism for the user communication status; Combine the feedback mechanism and the real-time monitoring network to set up a quality supervision system for the multi-channel communication mode.

[0014] Optionally, based on the cause of the fault and the quality supervision system, construct a fault recovery mechanism for the multi-channel communication mode, including: Identify the communication anomaly factors under the multi-channel communication mode based on the quality supervision system; Collect the operation data of the communication anomaly factors under the multi-channel communication mode, and identify the fault manifestations of the communication anomaly factors from the operation data; Determine the fault type of the communication anomaly factors according to the fault manifestations and the cause of the fault; Locate the specific fault location of the multi-channel communication mode based on the fault type; Analyze the fault influence range of the communication anomaly factors according to the specific fault location; Combine the fault influence range, the cause of the fault and the specific fault location to construct a fault recovery mechanism for the multi-channel communication mode.

[0015] To solve the above problems, the present invention also provides a multi-channel communication management system for 5G message applications, and the system includes: A requirement analysis module, configured to obtain the 5G message application to be optimized and its corresponding target users, identify the user types of the target users, analyze the behavior patterns of the user types in the 5G message application, and identify the communication requirements of the target users according to the behavior patterns; A communication mode optimization module, configured to construct an analysis model of the communication requirements of the target users according to the behavior patterns and the communication requirements, identify the multi-channel communication mode of the 5G message application based on the analysis model of the communication requirements, and set up a personalized communication mechanism for the target users according to the multi-channel communication mode: A communication quality supervision module, which is used to query the usage device of the target user based on the communication requirements, analyze the device limitation factors of the usage device, identify the communication change characteristics of the target user according to the device limitation factors, and set up a quality supervision system for the multi-channel communication method based on the communication change characteristics; A fault repair module, which is used to identify the communication faults of the multi-channel communication method according to the quality supervision system, analyze the causes of the communication faults, and build a fault recovery mechanism for the multi-channel communication method based on the causes of the faults and the quality supervision system; A multi-channel communication management module, which is used to perform multi-channel communication management of the 5G message application by combining the communication requirement analysis model, the quality supervision system and the fault recovery mechanism, and obtain a management result.

[0016] Compared with the problems described in the background art, in the embodiments of the present invention, by analyzing the behavior patterns of the user types in the 5G message application and identifying the communication needs of the target user according to the behavior patterns, the usage habits and behavior characteristics of users in different scenarios can be understood, which helps to optimize the communication functions of the 5G message application and improve the user experience; further, in the embodiments of the present invention, by constructing an analysis model of the communication needs of the target user according to the behavior patterns and the communication needs, the diverse needs of different users can be better met and the communication resources can be optimized; in the embodiments of the present invention, by identifying the multi-channel communication methods of the 5G message application based on the communication needs analysis model, measures can be taken in advance to cope with possible network congestion, help to set the personalized communication mechanism of the target user, contribute to dynamically adjusting the communication channels, and ensure that the user can obtain the best communication experience in different network environments; further, in the embodiments of the present invention, by identifying the communication change characteristics of the target user according to the device limitation factors, a quality supervision system for the multi-channel communication methods can be helped to be set up, the resource allocation can be dynamically adjusted, the performance of different communication channels can be ensured to be optimized, and the service quality of the 5G message application can be improved; in the embodiments of the present invention, by constructing a fault recovery mechanism for the multi-channel communication methods based on the fault formation reasons and the quality supervision system, the faults of multiple links can be processed simultaneously, the stable operation of the network can be ensured, the impact of the faults on the communication service can be reduced, and the multi-channel communication management efficiency of the 5G message application can be improved; finally, in the embodiments of the present invention, by combining the communication needs analysis model, the quality supervision system and the fault recovery mechanism, performing the multi-channel communication management of the 5G message application and obtaining the management result, the performance characteristics of different terminal devices and the user behavior patterns can be deeply understood, so as to realize the personalized optimization of the communication channels and improve the user experience. At the same time, by combining the quality supervision system and the fault recovery mechanism, the system can monitor the operation status of the communication channels in real time, enhance the stability and reliability of the communication channels, reduce the losses and maintenance costs caused by communication faults, and significantly improve the multi-channel communication management quality and efficiency of the 5G message application. Therefore, a multi-channel communication management method and system for a 5G message application provided by the embodiments of the present invention can improve the multi-channel communication management quality and efficiency of the 5G message application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 FIG. is a schematic flowchart of a multi-channel communication management method for a 5G message application provided by an embodiment of the present invention; Figure 2 FIG. is a schematic diagram of modules for implementing the multi-channel communication management method for a 5G message application provided by an embodiment of the present invention.

[0018] The implementation, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0019] It should be understood that the specific embodiments described herein are merely used to explain the present invention and are not used to limit the present invention.

[0020] The embodiments of the present application provide a multi-channel communication management method for 5G message applications. The execution subject of the multi-channel communication management method for 5G message applications includes but is not limited to at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided by the embodiments of the present application. In other words, the multi-channel communication management method for 5G message applications can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc.

[0021] Embodiment 1: Referring to Figure 1 As shown, it is a flowchart of a multi-channel communication management method for 5G message applications provided by an embodiment of the present invention. In this embodiment, the multi-channel communication management method for 5G message applications includes: S1. Obtain the 5G message application to be optimized and its corresponding target users, identify the user types of the target users, analyze the behavior patterns of the user types in the 5G message application, and identify the communication needs of the target users according to the behavior patterns.

[0022] In the embodiments of the present invention, by obtaining the 5G message application to be optimized and its corresponding target users, the specific needs, preferences, and usage habits of users can be deeply understood, providing data support for subsequent communication quality optimization. The target users refer to the user groups targeted by the 5G message application and having specific characteristics and needs.

[0023] Optionally, the corresponding target users of the 5G message application can be obtained through market research tools, such as questionnaire survey tools.

[0024] Furthermore, in the embodiments of the present invention, by identifying the user types of the target users, the specific needs of different user groups can be more accurately met, thereby improving the communication change characteristics of the 5G message application. The user types refer to different group types obtained after classifying users according to user characteristics, needs, behavior patterns, or other relevant criteria. For example, classified by age, it can be divided into young users, middle-aged users, and elderly users.

[0025] Optionally, the identification of the user types of the target users can be realized by using an online questionnaire platform, such as the SurveyMonkey platform.

[0026] In the embodiments of the present invention, by analyzing the behavior patterns of the user types in the 5G messaging application, the usage habits and behavior characteristics of users in different scenarios can be understood, which helps to optimize the communication functions of the 5G messaging application and improve the user experience. The behavior patterns refer to the typical usage habits and behavior characteristics of users when using the 5G messaging application. For example, elderly users only use the application when they need to contact their families, and the usage frequency is relatively low.

[0027] As an embodiment of the present invention, the analysis of the behavior patterns of the user types in the 5G messaging application includes: extracting the information interaction content corresponding to the user types in the 5G messaging application; based on the information interaction content, identifying the interaction scenarios of the user types; according to the interaction scenarios, analyzing the function selection tendencies of the user types; analyzing the message attributes of the information interaction content, and based on the message attributes, analyzing the network dependence degree of the information interaction content; collecting the timestamps of the information interaction content, and according to the timestamps, identifying the communication frequency of the user types; combining the network dependence degree, the function selection tendencies, the communication frequency and the message attributes, analyzing the behavior patterns of the user types in the 5G messaging application.

[0028] Among them, the information interaction content refers to various types of information sent and received by users in the 5G messaging application, including text messages, pictures, videos, voice messages, files, etc. The interaction scenario refers to the specific situation or environment in which users conduct information interaction in the 5G messaging application, such as work scenarios, social scenarios, etc. The function selection tendency refers to the function usage tendency of users in the 5G messaging application. The message attribute refers to the characteristics of the message such as type, size, format, etc. The network dependence degree refers to the degree of dependence of users on network connection when using the 5G messaging application. The timestamp refers to the specific time point when users perform various operations (such as sending messages, opening the application, closing the application, etc.) in the 5G messaging application. The communication frequency refers to the frequency or rate at which users use the 5G messaging application to send and receive messages.

[0029] Optionally, the analysis of the function selection tendencies of the user types according to the interaction scenarios can be determined by performing cluster analysis on user behavior data. The analysis of the message attributes of the information interaction content can be implemented using the WebSocket communication protocol. The identification of the communication frequency of the user types according to the timestamps can be determined using the time interval of user message transmission.

[0030] In an optional embodiment of the present invention, based on the message attributes, the following formula is used to analyze the network dependence degree of the information interaction content: where k represents the network dependence degree of the information interaction content, Represents the weight of the g-th message attribute, Represents the ideal network state value corresponding to the g-th message attribute, Represents the actual network state value of the g-th message attribute, Represents the network state influence function at time t, Represents the time period when the message attribute is applied in the network, Represents the adjustment factor corresponding to the message attribute. n represents the total number of message attributes, and g represents the category index of the message attribute.

[0031] Furthermore, by identifying the communication needs of the target user according to the behavior pattern in the embodiments of the present invention, the network for 5G message applications can be optimized to improve the performance and efficiency of the network. The communication needs refer to various needs shown by users during the use of communication services, such as network performance requirements, functional feature requirements, etc.

[0032] As an embodiment of the present invention, the identifying the communication needs of the target user according to the behavior pattern includes: collecting the interaction behavior data of the target user according to the behavior pattern; extracting the message content type, message interaction times, and daily usage time of the target user from the interaction behavior data; identifying the communication activity and communication peak period of the target user based on the message interaction times and the daily usage time; analyzing the message usage scenario of the target user according to the message content type; identifying the interaction objects of the target user in the message usage scenario and the interaction behavior between the target user and the interaction objects; analyzing the demand tendency of the target user based on the message content type and the interaction behavior; and identifying the communication needs of the target user by combining the communication activity, the message usage scenario, the communication peak period, and the demand tendency.

[0033] Among them, the interactive behavior data refers to various behavior records generated by users when using communication services (such as 5G messaging applications), the communication activity refers to the frequency and intensity of users using communication services within a certain period of time, the message content type refers to the types of messages sent and received by users during communication, such as text, pictures, etc., the message interaction times refers to the total number of messages sent and received by users within a certain period of time, the daily usage time refers to the specific time period when users use the 5G messaging application in a day, the communication peak period refers to the time period with the highest communication demand of users in a day, the message usage scenario refers to the ways and purposes of users using communication services in different situations, such as work, study, entertainment, social interaction, etc., the interaction object refers to other users or entities that communicate or interact with the target user in the message usage scenario, such as individual users, group members, etc., the interaction behavior refers to the specific behavior patterns of communication or interaction between the target user and the interaction object, such as replying to messages, ending conversations, etc., and the demand tendency refers to the preference of users for specific content or functions shown during communication, such as voice calls, video calls, file transfers, etc.

[0034] Optionally, based on the message interaction times and the daily usage time, the identification of the communication activity and the communication peak period of the target user can be determined by calculating the message interaction times of the user within the daily usage time period. The extraction of the interaction object of the target user in the message usage scenario can be realized by using SQL queries. The identification of the interaction behavior between the target user and the interaction object can be obtained through user behavior logs.

[0035] S2. According to the behavior pattern and the communication demand, construct a communication demand analysis model for the target user. Based on the communication demand analysis model, identify the multi-channel communication methods of the 5G messaging application, and set a personalized communication mechanism for the target user according to the multi-channel communication methods.

[0036] In the embodiment of the present invention, by constructing a communication demand analysis model for the target user according to the behavior pattern and the communication demand, the diverse needs of different users can be better met, communication resources can be optimized, and the user experience can be improved. The communication demand analysis model refers to a tool for predicting and optimizing the communication demand of users in 5G messaging applications.

[0037] As an embodiment of the present invention, constructing the communication requirement analysis model of the target user according to the behavior pattern and the communication requirement includes: extracting the behavior characteristics of the target user according to the behavior pattern; performing classification processing on the target user based on the behavior characteristics to obtain classified users; identifying the communication function types of the classified users according to the communication requirement; analyzing the corresponding scenario types, device types, and network types of the classified users from the communication function types; extracting the corresponding scenario characteristics, device performance characteristics, and network status characteristics of the target user based on the scenario types, the device types, and the network types; and constructing the communication requirement analysis model of the target user by combining the scenario characteristics, the device performance characteristics, the behavior characteristics, and the network status characteristics.

[0038] Among them, the behavior characteristics refer to the quantifiable usage habits and behavior patterns shown by the user during the use of the 5G messaging application. For example, if the proportion of picture and video messages sent by a certain user is as high as 70%, it indicates that the user is more inclined to use the rich media messaging function. The classification processing refers to the process of dividing users into different categories or groups based on the extracted behavior characteristics. The classified users refer to the user groups obtained through classification processing, such as high-frequency messaging users and multimedia messaging users. The communication function types refer to the categories of different communication functions provided in the 5G messaging application, such as text communication functions and rich media communication functions. The scenario types refer to the different environments and situations when the user uses the 5G messaging application. The device types refer to the types of terminal devices used by the user for the 5G messaging application. The network types refer to the network environments connected by the user when using the 5G messaging application. The scenario characteristics refer to the environmental characteristics of the user's location and the user's behavior characteristics in this scenario. The device performance characteristics refer to the performance of the device used by the user in terms of hardware and software, such as a high-performance processor and a large-capacity memory. The network status characteristics refer to the performance indicators and stability of the network connected by the user. For example, in a stable network environment, the user can conduct a long video call without freezing or disconnection.

[0039] Optionally, the extraction of the behavior characteristics of the target user according to the behavior pattern can be implemented using a convolutional neural network. The classification processing of the target user based on the behavior characteristics can be determined by an unsupervised learning algorithm, such as the K-Means algorithm. The extraction of the corresponding scenario characteristics, device performance characteristics, and network status characteristics of the target user based on the scenario types, the device types, and the network types can be implemented using the chi-square test method.

[0040] Furthermore, in the embodiment of the present invention, by means of the communication demand analysis model, the multi-channel communication mode of the 5G message application is identified, and measures can be taken in advance to cope with possible network congestion, ensuring the stability and reliability of communication. The multi-channel communication mode refers to the way that 5G messages send, receive, and exchange information through a variety of different communication channels or media.

[0041] As an embodiment of the present invention, the identification of the multi-channel communication mode of the 5G message application based on the communication demand analysis model includes: analyzing the user requirements of the 5G message application based on the communication demand analysis model; analyzing the service functions, application scenarios, and terminal device performance of the 5G message application according to the user requirements; identifying the communication form of the 5G message application based on the service functions; extracting the communication content type corresponding to the application scenario, and calculating the scenario switching frequency of the 5G message application according to the communication content type; measuring the network connection ability of the 5G message application based on the terminal device performance; and identifying the multi-channel communication mode of the 5G message application by combining the network connection ability, the communication form, and the scenario switching frequency.

[0042] Among them, the user requirements refer to the expectations of users for the application functions and performance when using the 5G message application, such as the immediacy of message sending. The service functions refer to the specific functional modules provided by the 5G message application to meet the user requirements. The application scenarios refer to the specific environments and situations when users use the 5G message application. The terminal device performance refers to the performance of the device used by users in terms of hardware and software. The communication form refers to the specific way of message transmission in the 5G message application, such as point-to-point communication, group communication, etc. The communication content type refers to the types of message content sent and received by users in the 5G message application, such as file messages, audio and video messages, etc. The scenario switching frequency refers to the frequency at which users switch between different application scenarios. The network connection ability refers to the connection performance and stability of the terminal device in different network environments.

[0043] Optionally, the identification of the communication form of the 5G message application based on the service functions can be determined by identifying different types of message categories. The measurement of the network connection ability of the 5G message application based on the terminal device performance can be obtained by testing the message sending and receiving abilities of the terminal device under different network conditions.

[0044] In an optional embodiment of the present invention, according to the communication content type, the following formula is used to calculate the scenario switching frequency of the 5G message application: where r represents the scenario switching frequency of the 5G message application, represents the contribution weight of the e-th type of communication content type in scenario switching, It represents the message sending frequency of the e-th type of communication content. M represents the total number of communication content types, and e represents the category index of the communication content types.

[0045] In the embodiments of the present invention, by setting the personalized communication mechanism of the target user according to the multi-channel communication method, the communication channels can be dynamically adjusted to ensure that the user can obtain the best communication experience in different network environments. The personalized communication mechanism refers to a communication strategy that can dynamically adjust and optimize the 5G message application according to the specific needs and behavior patterns of the user.

[0046] As an embodiment of the present invention, setting the personalized communication mechanism of the target user according to the multi-channel communication method includes: determining the service type of the target user according to the multi-channel communication method and identifying the communication method of the target user; analyzing the network resource usage and function preferences of the target user based on the communication method and the service type; extracting the network load index of the target user according to the network resource usage; identifying the service priority of the target user based on the service type; setting the alternative communication path of the target user according to the network load index and the service priority; and setting the personalized communication mechanism of the target user in combination with the network resource usage, the function preferences, and the alternative communication path.

[0047] Among them, the service type refers to the application scenario when the target user uses the 5G message application. The communication method refers to the specific communication means or channels selected by the target user when using the 5G message application, such as live interaction, text messages, etc. The network resource usage refers to the network resource situation occupied by the target user when using the 5G message application, including bandwidth, traffic, connection number, etc. The function preference refers to the function preference of the target user for the 5G message application. For example, business users may be more inclined to use functions such as file sharing, schedule arrangement, and task management. The network load index refers to the specific index used to measure the degree of network resource occupancy of the target user when using the 5G message application, such as broadband utilization rate, traffic consumption rate, etc. The service priority refers to the ranking of the importance of different services according to the service type and needs of the target user. The alternative communication path refers to the alternative communication path that can be switched to when the main communication path fails or is overloaded.

[0048] Optionally, based on the communication method and the service type, the analysis of the target user's network resource usage can be obtained through network logs and traffic data. Based on the network resource usage, the extraction of the target user's network load metrics can be achieved by using a network simulation tool, such as the NS-3 simulation tool. Based on the service type, the identification of the target user's service priority can be determined by analyzing the user's historical behavior data through a machine learning algorithm. Based on the network load metrics and the service priority, the setting of the target user's alternate communication path can be achieved by using the fast reroute (FRR) technology.

[0049] S3. Based on the communication requirements, query the target user's used device, analyze the device limitation factors of the used device, and based on the device limitation factors, identify the communication change characteristics of the target user. Based on the communication change characteristics, set up a quality supervision system for the multi-channel communication method.

[0050] In the embodiment of the present invention, by querying the target user's used device based on the communication requirements, the most suitable communication method can be selected according to the communication protocol supported by the device, ensuring the stability and efficiency of communication. The used device refers to the hardware device actually used by the target user in the communication scenario, such as a computer, a tablet, etc.

[0051] Optionally, the query of the target user's used device based on the communication requirements can be determined through the user agent string.

[0052] Furthermore, in the embodiment of the present invention, by analyzing the device limitation factors of the used device, it helps the 5G message application to better adapt to different devices, fully utilize the performance advantages of the devices, and at the same time avoid communication problems caused by device performance bottlenecks. The device limitation factors refer to the factors that affect the performance indicators of the used device, such as memory capacity, the quality of the driver, the packet loss rate during operation, etc.

[0053] As an embodiment of the present invention, the analysis of the device limitation factors of the used device includes: collecting the device performance data of the used device, and based on the device performance data, determining the key performance indicators of the used device; based on the key performance indicators, performing a performance evaluation process on the used device to obtain a device performance evaluation result; defining a performance judgment threshold for the used device, and based on the performance judgment threshold, identifying the abnormal factors of the performance evaluation result; based on the key performance indicators, matching the performance type of the abnormal factors in the used device; and based on the performance type, analyzing the device limitation factors of the used device.

[0054] Among them, the device performance data refers to various performance index data of the device used by the target user when running a communication application, such as power consumption management data, hardware performance data, etc. The key performance indicators refer to the core parameters used to measure the performance of the user equipment of the 5G messaging application, such as data transmission rate, energy consumption efficiency, etc. The performance evaluation process refers to the process of comprehensively evaluating the key performance indicators of the user equipment of the 5G messaging application through a series of testing and analysis methods. The performance evaluation result refers to the device performance performance obtained after the evaluation process. The performance judgment threshold refers to the standard value or range used to judge whether the device performance is normal. For example, a downlink rate lower than 500 Mbps may be regarded as abnormal. The abnormal factor refers to the key performance indicator that exceeds the performance judgment threshold in the performance evaluation result. The performance type refers to dividing the device performance into different categories according to the nature of the key performance indicators.

[0055] Optionally, the determination of the key performance indicators of the used device according to the device performance data can be obtained through laboratory tests. For example, by simulating scenarios such as high load, low signal strength, multi-user concurrency, etc., the performance indicators of the device under different conditions can be evaluated. The definition of the performance judgment threshold of the used device can be implemented using a multi-parameter normalization model. For example, according to parameters such as normalized delay, packet loss rate, uplink and downlink rates, the performance thresholds of different test devices are set.

[0056] By identifying the communication change characteristics of the target user according to the device limiting factors in the embodiments of the present invention, the user experience and communication reliability can be improved. The communication change characteristics refer to the change trends and characteristics shown by the communication performance evaluation indicators of the target user under different device limiting factors and network conditions.

[0057] As an embodiment of the present invention, analyzing the communication change characteristics of the target user according to the device limiting factors includes: analyzing the communication limiting effect of the device limiting factors on the target user; based on the communication limiting effect, extracting the communication performance evaluation indicators of the target user; identifying the influencing factors of the communication performance evaluation indicators, and calculating the correlation degree between the communication performance evaluation indicators and the device limiting factors according to the influencing factors; based on the correlation degree, constructing a causal relationship model between the device limiting factors and the communication performance evaluation indicators; and identifying the communication change characteristics of the target user according to the causal relationship model.

[0058] Among them, the communication restriction effect refers to the restriction or limiting impact of device restriction factors on the communication ability of the target user. For example, if the CPU performance of the user device is low, there may be lags during high-definition video calls. The communication performance evaluation index refers to the specific quantitative index used to measure the quality of communication. The influencing factors refer to various factors that affect the communication performance evaluation index, such as device hardware performance, network connection type, etc. The degree of association refers to the tightness of the mutual relationship between the device restriction factors and the communication performance evaluation index. The causal relationship model refers to a mathematical model constructed by analyzing the causal relationship between the device restriction factors and the communication performance evaluation index.

[0059] Optionally, the analysis of the communication restriction effect of the device restriction factors on the target user can be achieved using a random forest model. The identification of the influencing factors of the communication performance evaluation index can be obtained by evaluating the importance of the influencing factors through a gradient boosting tree. Based on the degree of association, the construction of the causal relationship model between the device restriction factors and the communication performance evaluation index can be achieved using regression analysis methods, such as linear regression. According to the influencing factors, the calculation of the degree of association between the communication performance evaluation index and the device restriction factors can be determined by the Pearson correlation coefficient method.

[0060] Furthermore, in the embodiment of the present invention, by setting up a quality supervision system for the multi-channel communication method based on the communication change characteristics, the resource allocation can be dynamically adjusted to ensure the performance optimization of different communication channels and improve the service quality of 5G message applications. The quality supervision system refers to a system used to monitor, evaluate, and optimize the communication quality of multiple communication channels when transmitting messages or data.

[0061] As an embodiment of the present invention, setting up the quality supervision system for the multi-channel communication method based on the communication change characteristics includes: identifying the communication quality of the multi-channel communication method based on the communication change characteristics; collecting the communication data under the multi-channel communication method, and based on the communication data, identifying the change trend and potential problems of the communication quality; analyzing the influencing factors of the communication quality based on the change trend and the potential problems; configuring a real-time monitoring network for the communication quality according to the influencing factors; identifying the user communication status under the multi-channel communication method based on the real-time monitoring network; constructing a feedback mechanism for the user communication status; and setting up the quality supervision system for the multi-channel communication method by combining the feedback mechanism and the real-time monitoring network.

[0062] Among them, the communication quality refers to the performance of signal transmission during the multi-channel communication process of the user. The communication data refers to various types of data generated during the communication process, such as bandwidth usage, signal strength, etc. The change trend refers to the change law of communication data over time. For example, the gradual decrease in bandwidth or the gradual increase in latency may indicate the deterioration of communication quality. The potential problem refers to the problem found in the communication data that may affect the communication quality. For example, a high packet loss rate may imply unstable network connection. The influencing factor refers to various factors that affect the communication quality, including device performance, network status, user behavior, etc. The real-time monitoring network refers to the network system used to monitor the communication quality in real time. The user communication status refers to the actual performance of the current user during the communication process, such as the current network connection quality of the user and the performance status of the user device. The feedback mechanism refers to the mechanism that provides feedback information to the system according to the user's communication status.

[0063] Optionally, based on the communication change characteristics, the identification of the communication quality of the multi-channel communication method can be determined by setting communication quality evaluation indicators, such as connection rate, packet loss rate, etc. Based on the communication data, the identification of the change trend and potential problems of the communication quality can be achieved by using a prediction model to analyze the communication data. Based on the change trend and the potential problems, the analysis of the influencing factors of the communication quality can be obtained through the performance monitoring platform provided by the operator. Based on the influencing factors, the configuration of the real-time monitoring network for the communication quality can be achieved by using network protocols and data packets.

[0064] S4. According to the quality supervision system, identify the communication faults of the multi-channel communication method, analyze the causes of the communication faults, and based on the causes of the faults and the quality supervision system, construct a fault recovery mechanism for the multi-channel communication method.

[0065] In the embodiment of the present invention, by identifying the communication faults of the multi-channel communication method according to the quality supervision system, problems that may affect the 5G message transmission can be discovered and solved in advance. The communication faults refer to problems that may occur in multiple communication links and network environments, resulting in message transmission interruption, delay, loss, or other abnormal situations, such as device damage, protocol error, wireless link interruption, etc.

[0066] Optionally, the identification of the communication faults of the multi-channel communication method according to the quality supervision system can be achieved by using the Nagios network performance monitoring tool.

[0067] Furthermore, by analyzing the causes of the communication failure in the embodiments of the present invention, it helps to quickly locate the problem and take targeted recovery measures, and helps to optimize the allocation of communication resources. The causes of the failure refer to various potential factors or conditions that trigger the communication failure, such as equipment aging, link congestion, etc.

[0068] Optionally, the analysis of the causes of the communication failure can be implemented by using a multi-factor analysis model.

[0069] In the embodiments of the present invention, by constructing a fault recovery mechanism for the multi-channel communication mode based on the causes of the failure and the quality supervision system, it can handle the failures of multiple links simultaneously, ensure the stable operation of the network, reduce the impact of the failure on the communication service, and improve the multi-channel communication management efficiency of the 5G message application. The fault recovery mechanism refers to a technical means for detecting, diagnosing, handling, and repairing faults in a communication system.

[0070] As an embodiment of the present invention, constructing the fault recovery mechanism for the multi-channel communication mode based on the causes of the failure and the quality supervision system includes: identifying the communication anomaly factors in the multi-channel communication mode based on the quality supervision system; collecting the operation data of the communication anomaly factors in the multi-channel communication mode, and identifying the fault manifestations of the communication anomaly factors from the operation data; determining the fault types of the communication anomaly factors according to the fault manifestations and the causes of the failure; locating the specific fault location of the multi-channel communication mode based on the fault types; analyzing the fault impact range of the communication anomaly factors according to the specific fault location; and constructing the fault recovery mechanism for the multi-channel communication mode by combining the fault impact range, the causes of the failure, and the specific fault location.

[0071] Among them, the communication anomaly factors refer to the parts where the communication performance deteriorates in the multi-channel communication mode, such as abnormal network connection, over-full device memory, etc. The operation data refers to various data generated during the operation of the system in the multi-channel communication mode, including device performance indicators, network traffic data, signaling data, etc. The fault manifestations refer to the specific problems or abnormal phenomena caused by the communication anomaly factors during actual operation, such as serious packet loss resulting in message transmission failure. The fault types refer to the categories of communication anomaly factors obtained according to the fault manifestations and the causes of the failure. The specific fault location refers to the physical or logical location where the fault actually occurs in the multi-channel communication mode, such as a certain module or protocol layer in the software, or a certain interface in the link. The fault impact range refers to the specific impact degree of the fault caused by the communication anomaly factors on the system operation and user experience, such as incorrect message parsing and transmission due to software configuration errors.

[0072] Optionally, the fault manifestation of identifying the communication anomaly factor from the operation data can be obtained through a signaling capture tool, such as the srsLTE tool. According to the specific fault location, the fault impact range analysis of the communication anomaly factor can be determined by comparing the signaling logs when the fault occurs and during normal operation.

[0073] S5. Combine the communication requirement analysis model, the quality supervision system, and the fault recovery mechanism to perform multi-channel communication management for the 5G message application and obtain a management result.

[0074] In the embodiment of the present invention, by combining the communication requirement analysis model, the quality supervision system, and the fault recovery mechanism, performing multi-channel communication management for the 5G message application and obtaining a management result, the performance characteristics of different terminal devices and user behavior patterns can be deeply understood, so as to achieve personalized optimization of communication channels and improve the user experience. At the same time, by combining the quality supervision system and the fault recovery mechanism, the system can monitor the operation status of communication channels in real time, enhance the stability and reliability of communication channels, reduce losses and maintenance costs caused by communication faults, and significantly improve the quality and efficiency of multi-channel communication management for the 5G message application. The multi-channel communication management refers to the process of uniformly managing and coordinating multiple communication channels, and the management result refers to the specific effects or goals achieved through multi-channel communication management, such as improving communication efficiency and enhancing the user experience.

[0075] Compared with the problems described in the background art, the embodiments of the present invention can understand the usage habits and behavioral characteristics of users in different scenarios, help optimize the communication functions of the 5G message application, and enhance the user experience by analyzing the behavioral patterns of the user types in the 5G message application and identifying the communication needs of the target users according to the behavioral patterns; further, the embodiments of the present invention can better meet the diverse needs of different users and optimize communication resources by constructing an analysis model of the communication needs of the target users according to the behavioral patterns and the communication needs; the embodiments of the present invention can identify multi-channel communication methods of the 5G message application based on the communication needs analysis model, take measures in advance to cope with possible network congestion, help set up a personalized communication mechanism for the target users, contribute to dynamically adjusting communication channels, and ensure that users can obtain the best communication experience in different network environments; further, the embodiments of the present invention can help set up a quality supervision system for the multi-channel communication methods by identifying the communication change characteristics of the target users according to the device limitation factors, dynamically adjust resource allocation, ensure the performance optimization of different communication channels, and improve the service quality of the 5G message application; the embodiments of the present invention can construct a fault recovery mechanism for the multi-channel communication methods based on the fault formation reasons and the quality supervision system, handle the faults of multiple links simultaneously, ensure the stable operation of the network, reduce the impact of faults on communication services, and improve the multi-channel communication management efficiency of the 5G message application; finally, the embodiments of the present invention can execute the multi-channel communication management of the 5G message application by combining the communication needs analysis model, the quality supervision system and the fault recovery mechanism, obtain management results, deeply understand the performance characteristics of different terminal devices and user behavioral patterns, thereby realizing the personalized optimization of communication channels, enhancing the user experience, and at the same time combining the quality supervision system and the fault recovery mechanism, the system can monitor the running state of communication channels in real time, enhance the stability and reliability of communication channels, reduce losses and maintenance costs caused by communication faults, and significantly improve the multi-channel communication management quality and efficiency of the 5G message application. Therefore, a multi-channel communication management method and system for a 5G message application provided by the embodiments of the present invention can improve the multi-channel communication management quality and efficiency of the 5G message application.

[0076] Embodiment 2: As Figure 2 shown, it is a functional module diagram of a multi-channel communication management system for a 5G message application of the present invention.

[0077] The multi-channel communication management system 200 for 5G message applications according to the present invention can be installed in an electronic device. According to the functions achieved, the multi-channel communication management system for 5G message applications can include a requirements analysis module 201, a communication method optimization module 202, a communication quality supervision module 203, a fault repair module 204, and a multi-channel communication management module 205. The modules in the present invention can also be referred to as units, which refer to a series of computer program segments that can be executed by the processor of the electronic device and can complete fixed functions, and are stored in the memory of the electronic device.

[0078] In the embodiments of the present invention, the functions of each module / unit are as follows: The requirements analysis module 201 is used to obtain the 5G message application to be optimized and its corresponding target users, identify the user types of the target users, analyze the behavior patterns of the user types in the 5G message application, and identify the communication requirements of the target users according to the behavior patterns; The communication method optimization module 202 is used to construct a communication requirements analysis model for the target users according to the behavior patterns and the communication requirements, identify the multi-channel communication methods of the 5G message application based on the communication requirements analysis model, and set the personalized communication mechanism for the target users according to the multi-channel communication methods; The communication quality supervision module 203 is used to query the used devices of the target users based on the communication requirements, analyze the device limitation factors of the used devices, identify the communication change characteristics of the target users according to the device limitation factors, and set the quality supervision system for the multi-channel communication methods based on the communication change characteristics; The fault repair module 204 is used to identify the communication faults of the multi-channel communication methods according to the quality supervision system, analyze the fault formation reasons of the communication faults, and construct a fault recovery mechanism for the multi-channel communication methods based on the fault formation reasons and the quality supervision system; The multi-channel communication management module 205 is used to perform the multi-channel communication management of the 5G message application by combining the communication requirements analysis model, the quality supervision system, and the fault recovery mechanism, and obtain the management results.

[0079] Specifically, each module in the multi-channel communication management system 200 for 5G message applications in the embodiments of the present invention uses the same technical means as those Figure 1 described in the multi-channel communication management method for 5G message applications described above, and can produce the same technical effects, which will not be elaborated here.

[0080] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A multi-channel communication management method for 5G message application, characterized in that: The method comprises: Obtain a 5G messaging application to be optimized and its corresponding target user, identify the user type of the target user, analyze the behavior pattern of the user type in the 5G messaging application, and identify the communication needs of the target user based on the behavior pattern; According to the behavior pattern and the communication demand, a communication demand analysis model of the target user is constructed, based on the communication demand analysis model, a multi-channel communication mode of the 5G message application is identified, and according to the multi-channel communication mode, a personalized communication mechanism of the target user is set; Based on the communication demand, query the target user's device, analyze the device restriction factors of the device, identify the communication change characteristics of the target user according to the device restriction factors, and set the quality supervision system of the multi-channel communication method based on the communication change characteristics; According to the quality supervision system, identifying the communication failure of the multi-channel communication mode, analyzing the cause of the communication failure, and building a failure recovery mechanism for the multi-channel communication mode based on the cause of the failure and the quality supervision system; In combination with the communication demand analysis model, the quality supervision system and the fault recovery mechanism, multi-channel communication management of the 5G message application is performed to obtain management results.

2. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The analyzing the behavior pattern of the user type in the 5G messaging application includes: Extract the information interaction content corresponding to the user type in the 5G messaging application; Based on the information interaction content, identifying the interaction scenario of the user type; Analyzing the function selection tendency of the user type according to the interaction scenario; Analyze the message attributes of the information interaction content, and based on the message attributes, use the following formula to analyze the network dependency of the information interaction content: Among them, k represents the network dependence degree of information interaction content, represents the weight of the g-th message attribute, represents the ideal network state value corresponding to the g-th message attribute, Indicates the actual network status value of the g-th message attribute, represents the network status influence function at time t, Indicates the time period of the message attribute when it is applied on the network. Indicates the adjustment factor corresponding to the message attribute, n indicates the total number of message attributes, and g indicates the category index of the message attribute; Collecting the timestamp of the information interaction content, and identifying the communication frequency of the user type according to the timestamp; In combination with the network dependence degree, the function selection tendency, the communication frequency and the message attributes, the behavior pattern of the user type in the 5G message application is analyzed.

3. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The identifying the communication needs of the target user according to the behavior pattern includes: Collecting the target user's interactive behavior data according to the behavior pattern; Extracting the message content type, message interaction times and daily usage time of the target user from the interaction behavior data; Based on the number of message interactions and the daily usage time, identifying the communication activity and peak communication period of the target user; Analyzing the message usage scenario of the target user according to the message content type; Analyzing the interaction objects of the target user in the message usage scenario, and identifying the interaction behaviors between the target user and the interaction objects; Analyzing the demand tendency of the target user based on the message content type and the interactive behavior; The communication needs of the target user are identified by combining the communication activity, the message usage scenario, the communication peak period and the demand tendency.

4. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The constructing the communication demand analysis model of the target user according to the behavior pattern and the communication demand includes: Extracting the behavior characteristics of the target user according to the behavior pattern; Based on the behavior characteristics, performing classification processing on the target user to obtain a classified user; According to the communication demand, identifying the communication function type of the classified user; Extracting the scenario type, device type and network type corresponding to the classified user from the communication function type; Based on the scenario type, the device type and the network type, extracting scenario characteristics, device performance characteristics and network status characteristics corresponding to the target user; A communication demand analysis model for the target user is constructed by combining the scenario characteristics, the device performance characteristics, the behavior characteristics and the network status characteristics.

5. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The identifying the multi-channel communication mode of the 5G message application based on the communication demand analysis model includes: Analyze user needs of the 5G messaging application based on the communication demand analysis model; According to the user needs, analyze the business functions, application scenarios and terminal device performance of the 5G messaging application; Based on the business function, identifying the communication form of the 5G messaging application; The communication content type corresponding to the application scenario is extracted, and according to the communication content type, the scene switching frequency of the 5G message application is calculated using the following formula: Among them, r represents the scene switching frequency of 5G message application, represents the contribution weight of the e-th communication content type in scene switching, represents the frequency of sending messages of the e-th communication content type, M represents the total number of communication content types, and e represents the category index of the communication content type; Based on the performance of the terminal device, measuring the network connection capability of the 5G messaging application; Based on the network connection capability, the communication form and the scene switching frequency, the multi-channel communication method of the 5G message application is identified.

6. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The step of setting a personalized communication mechanism for the target user according to the multi-channel communication mode includes: Determining the business type of the target user according to the multi-channel communication method, and identifying the communication method of the target user; Based on the communication mode and the service type, analyzing the network resource usage and functional tendency of the target user; Analyzing the network load index of the target user according to the network resource usage; Based on the service type, identifying the service priority of the target user; According to the network load indicator and the service priority, setting a backup communication path for the target user; In combination with the network resource usage, the functional tendency, and the backup communication path, a personalized communication mechanism for the target user is set.

7. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The analyzing the communication change characteristics of the target user according to the device restriction factor includes: Analyzing the communication restriction effect of the device restriction factor on the target user; Based on the communication restriction effect, extracting a communication performance evaluation index of the target user; Identifying influencing factors of the communication performance evaluation index, and calculating the degree of correlation between the communication performance evaluation index and the device restriction factor based on the influencing factors; Based on the degree of association, construct a causal relationship model between the device restriction factor and the communication performance evaluation index; According to the causal relationship model, communication change characteristics of the target user are identified.

8. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The quality supervision system of the multi-channel communication mode is set based on the communication change characteristics, including: Based on the communication change characteristics, identifying the communication quality of the multi-channel communication mode; Collecting communication data under the multi-channel communication mode, and identifying the change trend and potential problems of the communication quality according to the communication data; Analyzing factors affecting the communication quality based on the change trend and the potential problems; According to the influencing factors, configuring a real-time monitoring network for the communication quality; Based on the real-time monitoring network, identifying the user communication status in the multi-channel communication mode; Establishing a feedback mechanism for the user's communication status; In combination with the feedback mechanism and the real-time monitoring network, a quality supervision system for the multi-channel communication method is set up.

9. A multi-channel communication management method for a 5G message application as claimed in claim 1, characterized in that: The fault recovery mechanism of the multi-channel communication mode is constructed based on the fault cause and the quality supervision system, including: Based on the quality supervision system, identifying communication anomaly factors under the multi-channel communication mode; collecting operation data of the communication abnormality factor in the multi-channel communication mode, and identifying the fault manifestation of the communication abnormality factor from the operation data; Determine the fault type of the communication abnormality factor according to the fault manifestation and the fault cause; Based on the fault type, locate the specific fault location of the multi-channel communication mode; Analyze the fault impact range of the communication abnormality factor according to the specific fault location; In combination with the fault impact scope, the fault cause and the specific fault location, a fault recovery mechanism for the multi-channel communication mode is constructed.

10. A multi-channel communication management system for 5G message applications, characterized in that: The system comprises: A demand analysis module is used to obtain the 5G messaging application to be optimized and its corresponding target user, identify the user type of the target user, analyze the behavior pattern of the user type in the 5G messaging application, and identify the communication demand of the target user according to the behavior pattern; A communication mode optimization module is used to construct a communication demand analysis model of the target user according to the behavior pattern and the communication demand, identify the multi-channel communication mode of the 5G message application based on the communication demand analysis model, and set a personalized communication mechanism for the target user according to the multi-channel communication mode: A communication quality monitoring module, for querying the target user's device based on the communication demand, analyzing the device restriction factors of the device, identifying the communication change characteristics of the target user according to the device restriction factors, and setting the quality monitoring system of the multi-channel communication mode based on the communication change characteristics; A fault recovery module, used to identify the communication fault of the multi-channel communication mode according to the quality supervision system, analyze the cause of the communication fault, and build a fault recovery mechanism of the multi-channel communication mode based on the cause of the fault and the quality supervision system; The multi-channel communication management module is used to perform multi-channel communication management of the 5G message application in combination with the communication demand analysis model, the quality supervision system and the fault recovery mechanism to obtain management results.

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