Multi-user communication method and system based on AI robot and readable storage medium

Abstract

The invention discloses a multi-user communication method and system based on an AI robot and a readable storage medium, and the method comprises the steps: obtaining user communication target data, and enabling the number of users corresponding to the communication target data to at least comprise two users; data analysis is carried out based on the communication target data, and the analysis process comprises analysis between users and analysis between the users and a storage library; an analysis report is generated based on analysis results, the analysis report is output to the target user, and the analysis results comprise a demand result and a matching result; and in a visualization process based on the analysis report, calling background management data to carry out synchronous visualization display. The system can communicate with a plurality of users at the same time, generates an analysis report and a suggested solution by analyzing the communication content, can help families and organization members to solve internal problems more effectively, and improves the life quality and the working efficiency.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more specifically, to a multi-user communication method, system and readable storage medium based on an AI robot. Background Art

[0002] Most existing AI communication robots focus on interacting with a single user and lack the ability to communicate and conduct comprehensive analysis between multiple users within an organization. This means that they cannot fully understand the complex relationships and needs within an organization, resulting in analytical reports and solutions that may not be comprehensive or accurate.

[0003] Therefore, it is urgent to provide a clear processing procedure for data communication control of multiple users communicating simultaneously and multiple users' data interconnection, so as to better adapt to the communication between family and organizational members. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-user communication method, system and readable storage medium based on an AI robot, which can communicate with multiple users simultaneously and generate analysis reports and suggested solutions by analyzing the communication content, thereby helping family and organization members to solve internal problems more effectively and improve their quality of life and work efficiency.

[0005] A first aspect of the present invention provides a multi-user communication method based on an AI robot, comprising the following steps:

[0006] Acquire user communication target data, wherein the number of users corresponding to the communication target data includes at least two users;

[0007] Performing data analysis based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and a repository;

[0008] Generate an analysis report based on the analysis results, and output the analysis report to the target user, wherein the analysis results include demand results and matching results;

[0009] Based on the visualization process of the analysis report, the background management data is called to perform synchronous visualization display.

[0010] In this solution, the acquisition of user communication target data specifically includes:

[0011] Obtaining a response interface based on preset interface parameters, wherein the response interface at least includes a website interface, a mini-program interface, and an application interface;

[0012] The communication target data is obtained based on the user data input by each user obtained through the response interface, wherein one response interface supports at least one user input data.

[0013] In this solution, the data analysis between users based on the communication target data specifically includes:

[0014] Performing data tag analysis and screening based on the communication target data to obtain target tags corresponding to different users, wherein the attributes of the target tags include demand tags and question-answer tags;

[0015] Direct matching and association are performed based on different target tags to complete data analysis between users, including demand tag pairing and demand question and answer pairing.

[0016] In this solution, data analysis between the user and the repository is performed based on the communication target data, specifically including:

[0017] Extracting the target tags corresponding to different users;

[0018] Based on the target tag, the data tags in the repository are traversed to perform matching and association to obtain structure tree models of different users;

[0019] The repository analysis results corresponding to the current user are output based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

[0020] In this solution, generating an analysis report based on the analysis results and outputting the analysis report to the target user specifically includes:

[0021] Based on the demand label pairing and the demand question-answer pairing combined with the repository analysis result, data deduplication and data fusion are performed to obtain the analysis report;

[0022] Visual output is performed based on the analysis report in combination with user attributes of different users, wherein the user attributes include screen display attributes and multimedia display attributes.

[0023] In this solution, the visualization process based on the analysis report calls the background management data for synchronous visualization display, which specifically includes:

[0024] Synchronously output the analysis report to the background management platform, and obtain the background management data fed back by the background management platform;

[0025] Synchronous visual display is performed based on the background management data combined with the corresponding user attributes.

[0026] A second aspect of the present invention further provides a multi-user communication system based on an AI robot, comprising a memory and a processor, wherein the memory comprises a multi-user communication method program based on an AI robot, and when the multi-user communication method program based on an AI robot is executed by the processor, the following steps are implemented:

[0027] Acquire user communication target data, wherein the number of users corresponding to the communication target data includes at least two users;

[0028] Performing data analysis based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and a repository;

[0029] Generate an analysis report based on the analysis results, and output the analysis report to the target user, wherein the analysis results include demand results and matching results;

[0030] Based on the visualization process of the analysis report, the background management data is called to perform synchronous visualization display.

[0031] In this solution, the acquisition of user communication target data specifically includes:

[0032] Obtaining a response interface based on preset interface parameters, wherein the response interface at least includes a website interface, a mini-program interface, and an application interface;

[0033] The communication target data is obtained based on the user data input by each user obtained through the response interface, wherein one response interface supports at least one user input data.

[0034] In this solution, the data analysis between users based on the communication target data specifically includes:

[0035] Performing data tag analysis and screening based on the communication target data to obtain target tags corresponding to different users, wherein the attributes of the target tags include demand tags and question-answer tags;

[0036] Direct matching and association are performed based on different target tags to complete data analysis between users, including demand tag pairing and demand question and answer pairing.

[0037] In this solution, data analysis between the user and the repository is performed based on the communication target data, specifically including:

[0038] Extracting the target tags corresponding to different users;

[0039] Based on the target tag, the data tags in the repository are traversed to perform matching and association to obtain structure tree models of different users;

[0040] The repository analysis results corresponding to the current user are output based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

[0041] In this solution, generating an analysis report based on the analysis results and outputting the analysis report to the target user specifically includes:

[0042] Based on the demand label pairing and the demand question-answer pairing combined with the repository analysis result, data deduplication and data fusion are performed to obtain the analysis report;

[0043] Visual output is performed based on the analysis report in combination with user attributes of different users, wherein the user attributes include screen display attributes and multimedia display attributes.

[0044] In this solution, the visualization process based on the analysis report calls the background management data for synchronous visualization display, which specifically includes:

[0045] Synchronously output the analysis report to the background management platform, and obtain the background management data fed back by the background management platform;

[0046] Synchronous visual display is performed based on the background management data combined with the corresponding user attributes.

[0047] The third aspect of the present invention provides a computer-readable storage medium, which includes a machine-readable multi-user communication method program based on an AI robot. When the multi-user communication method program based on an AI robot is executed by a processor, the steps of a multi-user communication method based on an AI robot as described in any one of the above items are implemented.

[0048] The present invention discloses a multi-user communication method, system and readable storage medium based on an AI robot, which can communicate with multiple users simultaneously and generate analysis reports and suggested solutions by analyzing the communication content, thereby helping family and organization members to solve internal problems more effectively and improve their quality of life and work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flowchart of a multi-user communication method based on an AI robot of the present invention is shown;

[0050] Figure 2 A block diagram of a multi-user communication system based on an AI robot of the present invention is shown. DETAILED DESCRIPTION

[0051] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0052] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0053] Figure 1 A flow chart of a multi-user communication method based on an AI robot of the present application is shown.

[0054] like Figure 1 As shown, the present application discloses a multi-user communication method based on an AI robot, comprising the following steps:

[0055] S102, obtaining user communication target data, wherein the number of users corresponding to the communication target data includes at least two users;

[0056] S104, performing data analysis based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and a repository;

[0057] S106, generating an analysis report based on the analysis result, and outputting the analysis report to the target user, wherein the analysis result includes a demand result and a matching result;

[0058] S108, based on the visualization process of the analysis report, calling the background management data for synchronous visualization display.

[0059] It should be noted that in this embodiment, the current AI communication robot can effectively communicate with multiple users within the same organization, which is not involved in the existing AI chat robots. There is no layout for the multi-user communication mechanism to allow information to be collected from different angles and levels to obtain a more comprehensive understanding of the internal needs and problems of the organization. Among them, by communicating with multiple users, the AI ​​robot described in this embodiment can comprehensively analyze data and feedback from different users, identify complex relationships and potential problems within the organization, and provide more in-depth and detailed analysis reports.

[0060] Specifically, the user communication target data must first be obtained, and the number of users corresponding to the communication target data includes at least two users, which indicates that the application scenario corresponds to at least two or more users, and direct analysis can be performed between users. Furthermore, data analysis is performed based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and repositories, so as to obtain different analysis results, and then an analysis report is generated based on the analysis results, and the analysis report is output to the target user, wherein the analysis results include demand results and matching results, and the different attributes of the users need to be combined for display during the output process. At the same time, based on the visualization process of the analysis report, the background management data is called for synchronous visualization display, with the purpose of adding human experience judgment in the process of machine processing to enrich the final displayed communication results.

[0061] According to an embodiment of the present invention, obtaining user communication target data specifically includes:

[0062] Obtaining a response interface based on preset interface parameters, wherein the response interface at least includes a website interface, a mini-program interface, and an application interface;

[0063] The communication target data is obtained based on the user data input by each user obtained through the response interface, wherein one response interface supports at least one user input data.

[0064] It should be noted that, in this embodiment, how to obtain communication target data is specifically described, wherein, first, a response interface is obtained based on preset interface parameters, wherein the response interface includes at least a website interface, a mini-program interface and an application interface, which indicates that there are different user interfaces, including websites, WeChat mini-programs, APPs, etc. that allow users to register and create or join specific organizations (such as family 0377), and then the communication target data is obtained based on the user data input by each user based on the response interface, wherein a response interface supports at least one user input data, which indicates that two users can come from the same interface, for example, two users are from the same website.

[0065] According to an embodiment of the present invention, performing data analysis between users based on the communication target data specifically includes:

[0066] Performing data tag analysis and screening based on the communication target data to obtain target tags corresponding to different users, wherein the attributes of the target tags include demand tags and question-answer tags;

[0067] Direct matching and association are performed based on different target tags to complete data analysis between users, including demand tag pairing and demand question and answer pairing.

[0068] It should be noted that, in this embodiment, a process of data analysis between users is described, wherein data label analysis and screening are performed based on the communication target data to obtain target labels corresponding to different users, wherein the attributes of the target labels include demand labels and question-and-answer labels, so that direct matching and association are performed based on different target labels to complete the data analysis between users, including demand label pairing and demand-and-answer pairing. For example, the target label corresponding to user A is a **demand label, and the target label corresponding to user B is a **question-and-answer label, then communication between user A and user B can be directly established.

[0069] According to an embodiment of the present invention, performing data analysis between a user and a repository based on the communication target data specifically includes:

[0070] Extracting the target tags corresponding to different users;

[0071] Based on the target tag, the data tags in the repository are traversed to perform matching and association to obtain structure tree models of different users;

[0072] The repository analysis results corresponding to the current user are output based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

[0073] It should be noted that, in this embodiment, the process of data analysis between users and repositories is specifically described, wherein the target tags corresponding to different users are first extracted, and then the data tags in the repository are traversed based on the target tags to perform matching and association to obtain structure tree models of different users, so as to output the repository analysis results corresponding to the current user based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

[0074] Specifically, when conducting data analysis between users and repositories, natural language processing (NLP) and machine learning technologies can be used to analyze the communication content of different users, identify key issues and needs to obtain repository analysis results. Accordingly, the repository analysis results correspond to combinations of different policy mechanisms, which can be arranged and combined based on the degree of matching of the policy mechanisms.

[0075] It is worth mentioning that in the process of repository analysis, sentiment analysis of user communication voice data is also included to identify the emotional tendencies in user communication in order to better understand user needs.

[0076] According to an embodiment of the present invention, generating an analysis report based on the analysis result and outputting the analysis report to a target user specifically includes:

[0077] Based on the demand label pairing and the demand question-answer pairing combined with the repository analysis result, data deduplication and data fusion are performed to obtain the analysis report;

[0078] Visual output is performed based on the analysis report in combination with user attributes of different users, wherein the user attributes include screen display attributes and multimedia display attributes.

[0079] It should be noted that, in this embodiment, visualization methods include text, voice or video, and before visualization output, it is necessary to first obtain an analysis report based on the analysis results. Specifically, data deduplication and data fusion are performed based on the demand label pairing and the demand question and answer pairing combined with the repository analysis results to obtain the analysis report, that is, the same results are deleted, and different analysis results are fused. The fused content includes different pairing results and repository analysis results. Finally, visualization output is performed based on the analysis report combined with user attributes of different users, wherein user attributes include screen display attributes and multimedia display attributes.

[0080] According to an embodiment of the present invention, in the visualization process based on the analysis report, calling the background management data for synchronous visualization display specifically includes:

[0081] Synchronously output the analysis report to the background management platform, and obtain the background management data fed back by the background management platform;

[0082] Synchronous visual display is performed based on the background management data combined with the corresponding user attributes.

[0083] It should be noted that in this embodiment, a detailed analysis report and proposed solutions can be generated based on the analysis results and can be simultaneously output to the backend management platform for backend management personnel to review the report and solutions, conduct reviews and adjustments, and finally obtain the backend management data fed back by the backend management platform, and perform synchronous visual display based on the backend management data combined with the corresponding user attributes.

[0084] Figure 2 A block diagram of a multi-user communication system based on an AI robot of the present invention is shown.

[0085] like Figure 2 As shown, the present invention discloses a multi-user communication system based on an AI robot, including a memory and a processor, wherein the memory includes a multi-user communication method program based on an AI robot, and when the multi-user communication method program based on an AI robot is executed by the processor, the following steps are implemented:

[0086] Acquire user communication target data, wherein the number of users corresponding to the communication target data includes at least two users;

[0087] Performing data analysis based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and a repository;

[0088] Generate an analysis report based on the analysis results, and output the analysis report to the target user, wherein the analysis results include demand results and matching results;

[0089] Based on the visualization process of the analysis report, the background management data is called to perform synchronous visualization display.

[0090] It should be noted that in this embodiment, the AI ​​communication robot can currently communicate effectively with multiple users within the same organization, which is not limited in existing AI chat robots, and there is no layout for the multi-user communication mechanism to allow information to be collected from different angles and levels to obtain a more comprehensive understanding of the internal needs and problems of the organization. Among them, by communicating with multiple users, the AI ​​robot described in this embodiment can comprehensively analyze data and feedback from different users, identify complex relationships and potential problems within the organization, and provide more in-depth and detailed analysis reports.

[0091] Specifically, the user communication target data must first be obtained, and the number of users corresponding to the communication target data includes at least two users, which indicates that the application scenario corresponds to at least two or more users, and direct analysis can be performed between users. Furthermore, data analysis is performed based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and repositories, so as to obtain different analysis results, and then an analysis report is generated based on the analysis results, and the analysis report is output to the target user, wherein the analysis results include demand results and matching results, and the different attributes of the users need to be combined for display during the output process. At the same time, based on the visualization process of the analysis report, the background management data is called for synchronous visualization display, with the purpose of adding human experience judgment in the process of machine processing to enrich the final displayed communication results.

[0092] According to an embodiment of the present invention, obtaining user communication target data specifically includes:

[0093] Obtaining a response interface based on preset interface parameters, wherein the response interface at least includes a website interface, a mini-program interface, and an application interface;

[0094] The communication target data is obtained based on the user data input by each user obtained through the response interface, wherein one response interface supports at least one user input data.

[0095] It should be noted that, in this embodiment, how to obtain communication target data is specifically described, wherein, first, a response interface is obtained based on preset interface parameters, wherein the response interface includes at least a website interface, a mini-program interface and an application interface, which indicates that there are different user interfaces, including websites, WeChat mini-programs, APPs, etc. that allow users to register and create or join specific organizations (such as family 0377), and then the communication target data is obtained based on the user data input by each user based on the response interface, wherein a response interface supports at least one user input data, which indicates that two users can come from the same interface, for example, two users are from the same website.

[0096] According to an embodiment of the present invention, performing data analysis between users based on the communication target data specifically includes:

[0097] Performing data tag analysis and screening based on the communication target data to obtain target tags corresponding to different users, wherein the attributes of the target tags include demand tags and question-answer tags;

[0098] Direct matching and association are performed based on different target tags to complete data analysis between users, including demand tag pairing and demand question and answer pairing.

[0099] It should be noted that, in this embodiment, a process of data analysis between users is described, wherein data label analysis and screening are performed based on the communication target data to obtain target labels corresponding to different users, wherein the attributes of the target labels include demand labels and question-and-answer labels, so that direct matching and association are performed based on different target labels to complete the data analysis between users, including demand label pairing and demand-and-answer pairing. For example, the target label corresponding to user A is a **demand label, and the target label corresponding to user B is a **question-and-answer label, then communication between user A and user B can be directly established.

[0100] According to an embodiment of the present invention, performing data analysis between a user and a repository based on the communication target data specifically includes:

[0101] Extracting the target tags corresponding to different users;

[0102] Based on the target tag, the data tags in the repository are traversed to perform matching and association to obtain structure tree models of different users;

[0103] The repository analysis results corresponding to the current user are output based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

[0104] It should be noted that, in this embodiment, the process of data analysis between users and repositories is specifically described, wherein the target tags corresponding to different users are first extracted, and then the data tags in the repository are traversed based on the target tags to perform matching and association to obtain structure tree models of different users, so as to output the repository analysis results corresponding to the current user based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

[0105] Specifically, when conducting data analysis between users and repositories, natural language processing (NLP) and machine learning technologies can be used to analyze the communication content of different users, identify key issues and needs to obtain repository analysis results. Accordingly, the repository analysis results correspond to combinations of different policy mechanisms, which can be arranged and combined based on the degree of matching of the policy mechanisms.

[0106] It is worth mentioning that in the process of repository analysis, sentiment analysis of user communication voice data is also included to identify the emotional tendencies in user communication in order to better understand user needs.

[0107] According to an embodiment of the present invention, generating an analysis report based on the analysis result and outputting the analysis report to a target user specifically includes:

[0108] Based on the demand label pairing and the demand question-answer pairing combined with the repository analysis result, data deduplication and data fusion are performed to obtain the analysis report;

[0109] Visual output is performed based on the analysis report in combination with user attributes of different users, wherein the user attributes include screen display attributes and multimedia display attributes.

[0110] It should be noted that, in this embodiment, visualization methods include text, voice or video, and before visualization output, it is necessary to first obtain an analysis report based on the analysis results. Specifically, data deduplication and data fusion are performed based on the demand label pairing and the demand question and answer pairing combined with the repository analysis results to obtain the analysis report, that is, the same results are deleted, and different analysis results are fused. The fused content includes different pairing results and repository analysis results. Finally, visualization output is performed based on the analysis report combined with user attributes of different users, wherein user attributes include screen display attributes and multimedia display attributes.

[0111] According to an embodiment of the present invention, in the visualization process based on the analysis report, calling the background management data for synchronous visualization display specifically includes:

[0112] Synchronously output the analysis report to the background management platform, and obtain the background management data fed back by the background management platform;

[0113] Synchronous visual display is performed based on the background management data combined with the corresponding user attributes.

[0114] It should be noted that in this embodiment, a detailed analysis report and proposed solutions can be generated based on the analysis results and can be simultaneously output to the backend management platform for backend management personnel to review the report and solutions, conduct reviews and adjustments, and finally obtain the backend management data fed back by the backend management platform, and perform synchronous visual display based on the backend management data combined with the corresponding user attributes.

[0115] The third aspect of the present invention provides a computer-readable storage medium, which includes a multi-user communication method program based on an AI robot. When the multi-user communication method program based on an AI robot is executed by a processor, the steps of a multi-user communication method based on an AI robot as described in any one of the above items are implemented.

[0116] The present invention discloses a multi-user communication method, system and readable storage medium based on an AI robot, which can communicate with multiple users simultaneously and generate analysis reports and suggested solutions by analyzing the communication content, thereby helping family and organization members to solve internal problems more effectively and improve their quality of life and work efficiency.

[0117] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0118] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0119] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0120] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical disks, and other media that can store program codes.

[0121] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A multi-user communication method based on an AI robot, characterized in that: The following steps are involved: Acquire user communication target data, wherein the number of users corresponding to the communication target data includes at least two users; Performing data analysis based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and a repository; Generate an analysis report based on the analysis results, and output the analysis report to the target user, wherein the analysis results include demand results and matching results; Based on the visualization process of the analysis report, the background management data is called to perform synchronous visualization display.

2. The multi-user communication method based on an AI robot according to claim 1, characterized in that: The obtaining of user communication target data specifically includes: Obtaining a response interface based on preset interface parameters, wherein the response interface at least includes a website interface, a mini-program interface, and an application interface; The communication target data is obtained based on the user data input by each user obtained through the response interface, wherein one response interface supports at least one user input data.

3. The multi-user communication method based on an AI robot according to claim 2, characterized in that: The data analysis between users based on the communication target data specifically includes: Performing data tag analysis and screening based on the communication target data to obtain target tags corresponding to different users, wherein the attributes of the target tags include demand tags and question-answer tags; Direct matching and association are performed based on different target tags to complete data analysis between users, including demand tag pairing and demand question and answer pairing.

4. The multi-user communication method based on an AI robot according to claim 3, characterized in that: Performing data analysis between the user and the repository based on the communication target data, specifically including: Extracting the target tags corresponding to different users; Based on the target tag, the data tags in the repository are traversed to perform matching and association to obtain structure tree models of different users; The repository analysis results corresponding to the current user are output based on different structure tree models, wherein the repository analysis results include a combination of different policy mechanisms.

5. The multi-user communication method based on an AI robot according to claim 4, characterized in that: Generating an analysis report based on the analysis result and outputting the analysis report to the target user specifically includes: Based on the demand label pairing and the demand question-answer pairing combined with the repository analysis result, data deduplication and data fusion are performed to obtain the analysis report; Visual output is performed based on the analysis report in combination with user attributes of different users, wherein the user attributes include screen display attributes and multimedia display attributes.

6. The multi-user communication method based on an AI robot according to claim 5, characterized in that: In the visualization process based on the analysis report, calling the background management data for synchronous visualization display specifically includes: Synchronously output the analysis report to the background management platform, and obtain the background management data fed back by the background management platform; Synchronous visual display is performed based on the background management data combined with the corresponding user attributes.

7. A multi-user communication system based on AI robots, characterized in that: The method comprises a memory and a processor, wherein the memory comprises a multi-user communication method program based on an AI robot, and when the multi-user communication method program based on an AI robot is executed by the processor, the following steps are implemented: Acquire user communication target data, wherein the number of users corresponding to the communication target data includes at least two users; Performing data analysis based on the communication target data, wherein the analysis process includes analysis between users and analysis between users and a repository; Generate an analysis report based on the analysis results, and output the analysis report to the target user, wherein the analysis results include demand results and matching results; Based on the visualization process of the analysis report, the background management data is called to perform synchronous visualization display.

8. The multi-user communication system based on AI robot according to claim 7, characterized in that: The obtaining of user communication target data specifically includes: Obtaining a response interface based on preset interface parameters, wherein the response interface at least includes a website interface, a mini-program interface, and an application interface; The communication target data is obtained based on the user data input by each user obtained through the response interface, wherein one response interface supports at least one user input data.

9. The multi-user communication system based on AI robot according to claim 8, characterized in that: The data analysis between users based on the communication target data specifically includes: Performing data tag analysis and screening based on the communication target data to obtain target tags corresponding to different users, wherein the attributes of the target tags include demand tags and question-answer tags; Direct matching and association are performed based on different target tags to complete data analysis between users, including demand tag pairing and demand question and answer pairing.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a multi-user communication method program based on an AI robot. When the multi-user communication method program based on an AI robot is executed by a processor, the steps of a multi-user communication method based on an AI robot as described in any one of claims 1 to 6 are implemented.

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