Digital man-machine interaction method, system and terminal

Abstract

The invention discloses a digital man-machine interaction method and system and a terminal. The method comprises the following steps: screening multiple pieces of target information data from pre-stored information data according to an information acquisition instruction; analyzing the information acquisition instruction to obtain appeal information of the target user, and analyzing the target information data to obtain priority and corresponding target type information; and after the target type information is uploaded to the cloud platform according to a preset sequence, analyzing the target type information according to the operation instruction to obtain a target plan. According to the method, the information acquisition instruction of the user is analyzed, and the target data information is classified and sorted to generate the priority sequence table, so that the user is helped to know various types of target data information and the priority of the target data information at the same time, the user is helped to make a corresponding target plan, the working efficiency of the user is remarkably improved, and the user experience is improved. And the use experience of the user is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of interactive data analysis, and in particular to a digital human-computer interaction method, system, terminal and computer-readable storage medium. Background Art

[0002] During the digital transformation of an enterprise, a good interactive design can provide employees with an ultimate and user-friendly digital experience and greatly improve their office efficiency. Only when employees can work efficiently through a digital platform can higher economic benefits be brought about.

[0003] However, when employees of many companies view different types of information such as data, requirements or tasks, they need to go to different platforms, which results in a very poor employee experience and fails to improve work efficiency.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide a digital human-computer interaction method, system, terminal and computer-readable storage medium, aiming to solve the problem in the prior art that various types of operations cannot be managed uniformly and there is a lack of effective digital human-computer interaction, which leads to low work efficiency of employees.

[0006] To achieve the above object, the present invention provides a digital human-computer interaction method, which comprises the following steps:

[0007] Obtaining an information acquisition instruction of a target user, and screening out a plurality of target information data from all pre-stored information data according to the information acquisition instruction;

[0008] Analyze the information acquisition instruction to obtain the demand information of the target user, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data;

[0009] According to all the priority levels, all the target type information are sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and multiple target type information are analyzed according to the feedback information to obtain a target plan.

[0010] Optionally, the digital human-computer interaction method, wherein the step of obtaining the information acquisition instruction of the target user and screening out a plurality of target information data from all pre-stored information data according to the information acquisition instruction, specifically comprises:

[0011] Obtaining an information acquisition instruction of a target user, analyzing the information acquisition instruction, and obtaining an initial goal of the target user;

[0012] According to the initial target, a plurality of target information data are screened out from all pre-stored information data.

[0013] Optionally, the digital human-computer interaction method, wherein the analyzing the information acquisition instruction to obtain the target user's demand information, analyzing all the target information data according to the demand information to obtain the priority level and corresponding target type information of each target information data, specifically includes:

[0014] Analyze the information acquisition instruction to obtain the target user's demand information, and analyze the demand information to obtain the target task priority of the target user;

[0015] Determine a plurality of information categories according to the target task priority, wherein the plurality of information categories represent all types of information queried by the target user;

[0016] Analyze all the target information data, generate a priority level for each target information data according to all the information categories, and extract the corresponding target type information.

[0017] Optionally, the digital human-computer interaction method, wherein the analyzing all the target information data, generating a priority level for each of the target information data according to all the information categories, and extracting the corresponding target type information, specifically includes:

[0018] Obtaining an information value ranking table of all historical users, wherein the information value ranking table includes a plurality of value information that the historical users are interested in;

[0019] According to all the target information data and all the value information, each of the target information data is sorted to obtain the priority level of each of the target information data, and the corresponding target type information is extracted.

[0020] Optionally, the digital human-computer interaction method, wherein, according to all the priority levels, all the target type information is sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and a plurality of the target type information is analyzed according to the feedback information to obtain a target plan, specifically includes:

[0021] According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table;

[0022] Generate feedback information according to the target information data corresponding to the target type information of the preset number on the data information table;

[0023] Generate an operation instruction according to the feedback information, analyze the preset number of target type information in the data information table multiple times according to the operation instruction, and obtain multiple target plans.

[0024] Optionally, the digital human-computer interaction method, wherein the target type information of each target information data is sorted according to the priority level of each target information data to obtain a data information table, and then further includes:

[0025] The target information data corresponding to all the target type information in the data information table are sorted in real time to obtain a plurality of target data real-time analysis reports, and all the target data real-time analysis reports are uploaded to the cloud platform.

[0026] Optionally, the digital human-computer interaction method, wherein the operation instruction is generated according to the feedback information, and the preset number of target type information in the data information table are analyzed multiple times according to the operation instruction to obtain multiple target plans, further comprising:

[0027] Obtaining a plurality of target data real-time analysis reports corresponding to each target plan, and evaluating them according to preset standards to obtain a plurality of scores;

[0028] The target plan whose score exceeds the preset score is uploaded to the cloud platform.

[0029] In addition, to achieve the above-mentioned purpose, the present invention further provides a digital human-computer interaction system, wherein the digital human-computer interaction system comprises:

[0030] A data screening module, used to obtain an information acquisition instruction of a target user, and screen out a plurality of target information data from all pre-stored information data according to the information acquisition instruction;

[0031] A data sorting module is used to analyze the information acquisition instruction to obtain the demand information of the target user, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data;

[0032] The target plan generation module is used to sort all the target type information in a preset order according to all the priority levels to obtain a data information table, generate feedback information according to the data information table, and analyze multiple target type information according to the feedback information to obtain a target plan.

[0033] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a digital human-computer interaction program stored in the memory and executable on the processor, and when the digital human-computer interaction program is executed by the processor, the steps of the digital human-computer interaction method as described above are implemented.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a digital human-computer interaction program, and when the digital human-computer interaction program is executed by a processor, the steps of the digital human-computer interaction method as described above are implemented.

[0035] In the present invention, the target user's information acquisition instruction is obtained, and multiple target information data are screened out from all pre-stored information data according to the information acquisition instruction; the information acquisition instruction is analyzed to obtain the target user's demand information, and all the target information data are analyzed according to the demand information to obtain the priority level and corresponding target type information of each target information data; according to all the priority levels, all the target type information are sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and multiple target type information are analyzed according to the feedback information to obtain a target plan. The present invention analyzes the user's information acquisition instruction, classifies and sorts the target data information to generate a priority sequence table, thereby helping the user to simultaneously understand multiple types of target data information and the priority of the target data information, thereby helping the user to make a corresponding target plan, significantly improving the user's work efficiency and enhancing the user's experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a preferred embodiment of the digital human-computer interaction method of the present invention;

[0037] Figure 2 It is a schematic diagram of partition design of a preferred embodiment of the digital human-computer interaction method of the present invention;

[0038] Figure 3 It is a structural diagram of a preferred embodiment of the digital human-computer interaction system of the present invention;

[0039] Figure 4 Schematic diagram of the operating environment of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] The digital human-computer interaction method described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the digital human-computer interaction method comprises the following steps:

[0042] Step S10: obtaining an information acquisition instruction of a target user, and screening out a plurality of target information data from all pre-stored information data according to the information acquisition instruction.

[0043] Specifically, an information acquisition instruction of a target user is acquired, and the information acquisition instruction is analyzed to obtain an initial goal of the target user; and according to the initial goal, a plurality of target information data are screened out from all pre-stored information data.

[0044] Among them, after obtaining the information acquisition instruction input by the user, the information acquisition instruction can be analyzed to obtain the initial target that the user may be interested in, so as to filter out multiple target information data from all stored information data. For example, based on the user input of "Friday", multiple initial targets that the current user may be interested in can be obtained: "Friday log", "work log" and "memo", etc. At the same time, multiple target information data related to "Friday log", "work log" and "memo" can be filtered out from all stored information data, thereby improving the accuracy of data screening, greatly improving the user's work efficiency, and avoiding the user from wasting time on a large amount of irrelevant data.

[0045] Step S20: Analyze the information acquisition instruction to obtain the target user's demand information, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data.

[0046] Among them, by analyzing the information acquisition instructions input by the user, the target user's demand information can be obtained, and then all the screened target information data are prioritized according to the demand information, and the target information data that the user is most likely to be interested in is placed in the front, avoiding the target user from searching for useful information from irrelevant data, saving the target user's time.

[0047] Specifically, the information acquisition instruction is analyzed to obtain the demand information of the target user, and the demand information is analyzed to obtain the target task priority of the target user; multiple information categories are determined based on the target task priority, wherein the multiple information categories represent all types of information queried by the target user; all the target information data are analyzed, and based on all the information categories, a priority level of each target information data is generated, and the corresponding target type information is extracted.

[0048] Among them, according to the demand information obtained by analysis, the target tasks of the target users can be prioritized to determine multiple information types. For example, according to the "Friday" input by the target user, multiple target information data such as "Friday log", "work log", "Thursday memo", and "work indicators" can be determined, and the priority level of each target information data can be generated, and the corresponding target type information can be extracted from it.

[0049] Furthermore, an information value ranking table of all historical users is obtained, wherein the information value ranking table includes multiple pieces of value information that the historical users are interested in; based on all the target information data and all the value information, each target information data is sorted to obtain the priority level of each target information data, and the corresponding target type information is extracted.

[0050] Among them, the information value ranking table generated according to the relevant data input by historical users can analyze the value information that a large number of users are interested in. Through training with a large amount of historical data, a value information table is generated, which includes survey information on the value of a certain product and user needs, etc., thereby improving the accuracy of analysis of information input by target users and improving the accurate definition of the priority level of target information data.

[0051] Step S30: sort all the target type information in a preset order according to all the priority levels to obtain a data information table, generate feedback information according to the data information table, and analyze multiple target type information according to the feedback information to obtain a target plan.

[0052] Among them, the preset order can be generated according to the value information table. For example, the target user enters "Friday", and the target information data "Friday Log", "Work Log", "Thursday Memo" and "Work Indicators" are sorted as "Friday Log", "Work Log", "Work Indicators" and "Thursday Memo" according to the preset order. The target type information corresponding to these target information data is also uploaded to the cloud platform in the same order for the target user to refer to, thereby obtaining feedback information input by the target user, so as to reduce the time for the target user to query information and improve the target user's search efficiency and the accuracy of the search results.

[0053] Specifically, according to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table; feedback information is generated according to the target information data corresponding to the preset number of target type information in the data information table; operation instructions are generated according to the feedback information, and according to the operation instructions, the preset number of target type information in the data information table are analyzed multiple times to obtain multiple target plans.

[0054] Among them, after the target information data is sorted by priority, it is added to the data information table, feedback information is generated according to the data information table, and corresponding operation instructions are generated according to the feedback information; for example, if the first two target information data in the data information table are "Friday log" and "work log", then an operation instruction for searching "Friday log" and "work log" is generated, or an operation instruction for analyzing "Friday log" and "work log" is generated, and the data information table is uploaded to the cloud platform for reference by the target user, and then the cloud platform can receive the feedback information entered by the target user, and the feedback information also includes the operation instruction (this operation instruction is entered by the user according to his own needs). According to the operation instruction entered by the user or generated by the system, multiple target type information in the data information table can be analyzed, so as to specify multiple target plans for the target user; for example, the data information table It includes target type information related to "Friday Log", "Work Log", "Work Indicator" and "Thursday Memo". After the user clicks "Friday Log", he can enter feedback information in the main function area, and then receive feedback information sent by the cloud platform. The selected target type information is analyzed according to the operation instructions in the feedback information, and multiple target plans are generated according to other data in the feedback information (including target requirements, tasks or to-do items, etc.) (that is, the corresponding target plan is generated according to the target type information clicked by the target user. If the target user only clicks on "Friday Log", the target plan corresponding to "Friday Log" is generated. If the target user also clicks on "Work Indicator" and "Thursday Memo", the target plans corresponding to "Work Indicator" and "Thursday Memo" are generated respectively). This is helpful for the target user to refer to and reduces the workload of the target user.

[0055] Furthermore, the target information data corresponding to all the target type information in the data information table are sorted in real time to obtain a plurality of target data real-time analysis reports, and all the target data real-time analysis reports are uploaded to the cloud platform.

[0056] Among them, according to the click instructions of the target user, the target information data corresponding to all the target type information clicked are sorted in real time, all the target information data that the target user may be interested in are updated in real time, and the corresponding priority levels are updated in real time, added to the real-time analysis report and uploaded to the cloud platform, ensuring data accuracy.

[0057] Furthermore, a plurality of real-time analysis reports of the target data corresponding to each target plan are obtained, and are evaluated by preset standards to obtain a plurality of scores; and the target plan whose score exceeds the preset score is uploaded to the cloud platform.

[0058] Among them, all target data real-time analysis reports for each target plan need to be evaluated by preset standards, such as Figure 2As shown, the preset standards include operation frequency, data real-time, etc. The progress or results of the tasks that the target user is responsible for can be understood according to the score of the target plan. At the same time, the changing trends of all data are described through curve graphs, which improves the visualization of the data, makes it convenient for the target user to observe the progress of the work tasks in real time, and improves the work efficiency of the target user.

[0059] The present invention analyzes the user's information acquisition instructions, classifies and sorts the target data information to generate a priority sequence table, thereby helping the user to simultaneously understand multiple types of target data information and the priority of the target data information, thereby helping the user to make corresponding target plans, significantly improving the user's work efficiency and enhancing the user's usage experience.

[0060] Furthermore, if Figure 3 As shown, based on the above digital human-computer interaction method, the present invention also provides a digital human-computer interaction system, wherein the digital human-computer interaction system includes:

[0061] The data screening module 51 is used to obtain the information acquisition instruction of the target user, and screen out a plurality of target information data from all pre-stored information data according to the information acquisition instruction;

[0062] A data sorting module 52 is used to analyze the information acquisition instruction to obtain the demand information of the target user, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data;

[0063] The target plan generation module 53 is used to upload all the target type information to the cloud platform in a preset order according to all the priority levels, receive feedback information sent by the cloud platform, analyze multiple target type information according to the feedback information, and obtain a target plan, wherein the feedback information is input into the cloud platform by the user.

[0064] Furthermore, if Figure 4 As shown, based on the above-mentioned digital human-computer interaction method and system, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 4 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0065] The memory 20 may be an internal storage unit of the terminal in some embodiments, such as a hard disk or memory of the terminal. The memory 20 may also be an external storage device of the terminal in other embodiments, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed in the terminal, such as the program code of the installation terminal, etc. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a digital human-computer interaction program 40 is stored on the memory 20, and the digital human-computer interaction program 40 can be executed by the processor 10, thereby realizing the digital human-computer interaction method in the present application.

[0066] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the digital human-computer interaction method.

[0067] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface. The components 10-30 of the terminal communicate with each other via a system bus.

[0068] In one embodiment, when the processor 10 executes the digital human-computer interaction program 40 in the memory 20, the following steps are implemented:

[0069] Obtaining an information acquisition instruction of a target user, and screening out a plurality of target information data from all pre-stored information data according to the information acquisition instruction;

[0070] Analyze the information acquisition instruction to obtain the demand information of the target user, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data;

[0071] According to all the priority levels, all the target type information are sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and multiple target type information are analyzed according to the feedback information to obtain a target plan.

[0072] The step of obtaining the target user's information acquisition instruction and filtering out a plurality of target information data from all pre-stored information data according to the information acquisition instruction specifically includes:

[0073] Obtaining an information acquisition instruction of a target user, analyzing the information acquisition instruction, and obtaining an initial goal of the target user;

[0074] According to the initial target, a plurality of target information data are screened out from all pre-stored information data.

[0075] The step of analyzing the information acquisition instruction to obtain the target user's demand information, analyzing all the target information data according to the demand information, and obtaining the priority level and corresponding target type information of each target information data specifically includes:

[0076] Analyze the information acquisition instruction to obtain the target user's demand information, and analyze the demand information to obtain the target task priority of the target user;

[0077] Determine a plurality of information categories according to the target task priority, wherein the plurality of information categories represent all types of information queried by the target user;

[0078] Analyze all the target information data, generate a priority level for each target information data according to all the information categories, and extract the corresponding target type information.

[0079] The step of analyzing all the target information data, generating a priority level for each target information data according to all the information categories, and extracting the corresponding target type information specifically includes:

[0080] Obtaining an information value ranking table of all historical users, wherein the information value ranking table includes a plurality of value information that the historical users are interested in;

[0081] According to all the target information data and all the value information, each of the target information data is sorted to obtain the priority level of each of the target information data, and the corresponding target type information is extracted.

[0082] Among them, the step of sorting all the target type information in a preset order according to all the priority levels to obtain a data information table, generating feedback information according to the data information table, and analyzing a plurality of the target type information according to the feedback information to obtain a target plan specifically includes:

[0083] According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table;

[0084] Generate feedback information according to the target information data corresponding to the target type information of the preset number on the data information table;

[0085] Generate an operation instruction according to the feedback information, analyze the preset number of target type information in the data information table multiple times according to the operation instruction, and obtain multiple target plans.

[0086] Wherein, the target type information of each target information data is sorted according to the priority level of each target information data to obtain a data information table, and then further includes:

[0087] The target information data corresponding to all the target type information in the data information table are sorted in real time to obtain a plurality of target data real-time analysis reports, and all the target data real-time analysis reports are uploaded to the cloud platform.

[0088] wherein an operation instruction is generated according to the feedback information, and a preset number of target type information in the data information table are analyzed multiple times according to the operation instruction to obtain multiple target plans, and then the following is further included:

[0089] Obtaining a plurality of target data real-time analysis reports corresponding to each target plan, and evaluating them according to preset standards to obtain a plurality of scores;

[0090] The target plan whose score exceeds the preset score is uploaded to the cloud platform.

[0091] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a digital human-computer interaction program, and when the digital human-computer interaction program is executed by a processor, the steps of the digital human-computer interaction method described above are implemented.

[0092] In summary, the present invention provides a digital human-computer interaction method and related equipment, the method comprising: obtaining the information acquisition instruction of the target user, screening out multiple target information data from all pre-stored information data according to the information acquisition instruction; analyzing the information acquisition instruction to obtain the demand information of the target user, analyzing all the target information data according to the demand information, and obtaining the priority level and corresponding target type information of each target information data; according to all the priority levels, sorting all the target type information in a preset order to obtain a data information table, generating feedback information according to the data information table, and analyzing multiple target type information according to the feedback information to obtain a target plan. The present invention analyzes the user's information acquisition instruction, classifies and sorts the target data information to generate a priority sequence table, thereby helping the user to simultaneously understand multiple types of target data information and the priority of the target data information, thereby helping the user to make a corresponding target plan, significantly improving the user's work efficiency, and enhancing the user's experience.

[0093] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or terminal including the element.

[0094] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0095] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A digital human-computer interaction method, characterized in that: The digital human-computer interaction method comprises: Obtaining an information acquisition instruction of a target user, and screening out a plurality of target information data from all pre-stored information data according to the information acquisition instruction; Analyze the information acquisition instruction to obtain the demand information of the target user, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data; According to all the priority levels, all the target type information are sorted in a preset order to obtain a data information table, feedback information is generated according to the data information table, and multiple target type information are analyzed according to the feedback information to obtain a target plan.

2. The digital human-computer interaction method according to claim 1, characterized in that: The obtaining of the target user's information obtaining instruction, and screening out a plurality of target information data from all pre-stored information data according to the information obtaining instruction, specifically includes: Obtaining an information acquisition instruction of a target user, analyzing the information acquisition instruction, and obtaining an initial goal of the target user; According to the initial target, a plurality of target information data are screened out from all pre-stored information data.

3. The digital human-computer interaction method according to claim 1, characterized in that: The analyzing the information acquisition instruction to obtain the demand information of the target user, analyzing all the target information data according to the demand information, and obtaining the priority level and corresponding target type information of each target information data specifically includes: Analyze the information acquisition instruction to obtain the target user's demand information, and analyze the demand information to obtain the target task priority of the target user; Determine a plurality of information categories according to the target task priority, wherein the plurality of information categories represent all types of information queried by the target user; Analyze all the target information data, generate a priority level for each target information data according to all the information categories, and extract the corresponding target type information.

4. The digital human-computer interaction method according to claim 3, characterized in that: The analyzing all the target information data, generating a priority level for each target information data according to all the information categories, and extracting the corresponding target type information specifically includes: Obtaining an information value ranking table of all historical users, wherein the information value ranking table includes a plurality of value information that the historical users are interested in; According to all the target information data and all the value information, each of the target information data is sorted to obtain the priority level of each of the target information data, and the corresponding target type information is extracted.

5. The digital human-computer interaction method according to claim 1, characterized in that: The step of sorting all the target type information in a preset order according to all the priority levels to obtain a data information table, generating feedback information according to the data information table, and analyzing a plurality of target type information according to the feedback information to obtain a target plan specifically includes: According to the priority level of each target information data, the target type information of each target information data is sorted to obtain a data information table; Generate feedback information according to the target information data corresponding to the target type information of the preset number on the data information table; Generate an operation instruction according to the feedback information, analyze the preset number of target type information in the data information table multiple times according to the operation instruction, and obtain multiple target plans.

6. The digital human-computer interaction method according to claim 5, characterized in that: The target type information of each target information data is sorted according to the priority level of each target information data to obtain a data information table, and then further includes: The target information data corresponding to all the target type information in the data information table are sorted in real time to obtain a plurality of target data real-time analysis reports, and all the target data real-time analysis reports are uploaded to the cloud platform.

7. The digital human-computer interaction method according to claim 6, characterized in that: The step of generating an operation instruction according to the feedback information, and analyzing a preset number of target type information in the data information table multiple times according to the operation instruction to obtain multiple target plans, further comprising: Obtaining a plurality of target data real-time analysis reports corresponding to each target plan, and evaluating them according to preset standards to obtain a plurality of scores; The target plan whose score exceeds the preset score is uploaded to the cloud platform.

8. A digital human-computer interaction system, characterized in that: The digital human-computer interaction system comprises: A data screening module, used to obtain an information acquisition instruction of a target user, and screen out a plurality of target information data from all pre-stored information data according to the information acquisition instruction; A data sorting module is used to analyze the information acquisition instruction to obtain the demand information of the target user, analyze all the target information data according to the demand information, and obtain the priority level and corresponding target type information of each target information data; The target plan generation module is used to sort all the target type information in a preset order according to all the priority levels to obtain a data information table, generate feedback information according to the data information table, and analyze multiple target type information according to the feedback information to obtain a target plan.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and a digital human-computer interaction program stored in the memory and executable on the processor. When the digital human-computer interaction program is executed by the processor, the steps of the digital human-computer interaction method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a digital human-computer interaction program, and when the digital human-computer interaction program is executed by the processor, the steps of the digital human-computer interaction method according to any one of claims 1 to 7 are implemented.

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