Information processing method, system and terminal based on AI evaluation model

Abstract

The invention discloses an AI evaluation model-based information processing method, system and terminal, and the method comprises the steps: creating a project plan according to target task information, and constructing a project scheme according to the project plan; inputting the project scheme into the constructed AI evaluation model, outputting an index evaluation result and an inspection evaluation result, and updating the project scheme according to the index evaluation result and the inspection evaluation result to obtain an execution scheme; obtaining language description of the execution scheme, inputting the language description into the AI evaluation model, and outputting project interaction information; and obtaining an execution result of the execution scheme, and analyzing the execution result by using the project interaction information to obtain an analysis result of the execution scheme. According to the method, the project is dominated through the AI, the feasibility of the scheme is evaluated from multiple fields, the execution process and the execution result of the scheme are evaluated from the perspective of multiple execution members, full-name supervision of the project is realized, the project management efficiency is greatly improved, and the success rate of the project is improved.

Description

Technical Field

[0001] The present invention relates to the field of information analysis technology, and in particular to an information processing method, system, terminal and computer-readable storage medium based on an AI evaluation model. Background Art

[0002] When AI projects are being executed, project information has a significant impact on project completion on time, project cost, project quality, and project resource allocation. Appropriate information processing procedures can ensure that AI projects are completed on time, control project costs, improve project quality, and optimize resource allocation.

[0003] For the traditional project management process, the connection of project information is still based on person-to-person management, which has many disadvantages, such as low efficiency, high communication costs between people, or lack of self-motivation, which leads to task execution failure. However, for the existing AI project management, AI projects usually involve information in multiple fields, so there are problems with cross-domain collaboration, and there is also a situation of blindly pursuing technological advancement, ignoring the balance between project information and actual business needs. In the process of task execution, information from multiple fields is involved, making it difficult to uniformly manage information from all fields, and information processing efficiency is low, which leads to project obstruction.

[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 an information processing method, system, terminal and computer-readable storage medium based on an AI evaluation model, aiming to solve the problem in the prior art that the existing AI project management ignores the balance between project information and actual business needs during implementation, thus leading to project failure, and the task execution process involves information from multiple fields and the information processing efficiency is low.

[0006] To achieve the above object, the present invention provides an information processing method based on an AI evaluation model, and the information processing method based on an AI evaluation model comprises the following steps:

[0007] Acquire target task information, create multiple project plans based on the target task information, and construct a project plan based on all the project plans;

[0008] Input the project plan into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project plan according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan;

[0009] Obtaining a language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting project interaction information;

[0010] The execution result of the execution plan is obtained, and the execution result is analyzed using the project interaction information to obtain an analysis result.

[0011] Optionally, in the information processing method based on the AI ​​evaluation model, the target task information includes: project budget information, project risk information and project indicator information, and the project plan includes: a first project plan and a second project plan;

[0012] The step of obtaining target task information, creating multiple project plans according to the target task information, and constructing a project plan according to all the project plans specifically includes:

[0013] Obtaining the project budget information, the project risk information and the project indicator information of the target task;

[0014] Analyze the project budget information to obtain the first project plan, and analyze the project risk information and the project indicator information to obtain the second project plan;

[0015] If, based on the first project plan and the second project plan, it is determined that the target task is compliant, a project plan for the target task is constructed.

[0016] Optionally, the information processing method based on the AI ​​evaluation model, wherein the analyzing the project budget information to obtain the first project plan, and analyzing the project risk information and the project indicator information to obtain the second project plan, specifically includes:

[0017] If the budget in the project budget information meets the budget standard, generating a first project plan, wherein the first project plan indicates the execution of the target task;

[0018] If the project risk information indicates revenue growth of the target task, and the project indicator information indicates that the target task is within the executable range, a second project plan is generated, wherein the second project plan indicates executing the target task.

[0019] Optionally, the information processing method based on the AI ​​evaluation model, wherein the project plan is input into the constructed AI evaluation model, the indicator evaluation results and the inspection evaluation results are output, and the project plan is updated according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan, specifically includes:

[0020] Obtaining the executive member information input by the user, and inputting the executive member information and the project plan into the constructed AI evaluation model;

[0021] The AI ​​evaluation model analyzes the first project plan, the second project plan and the execution member information in the project plan, and outputs an initial indicator evaluation result and an initial inspection evaluation result;

[0022] If the project plan is judged to be unreasonable according to the initial indicator evaluation result or the initial inspection evaluation result, the execution member information is adjusted until the project plan is reasonable, and the AI ​​evaluation model outputs the indicator evaluation result and the inspection evaluation result;

[0023] According to the indicator evaluation results and the inspection evaluation results, the project plan is optimized to obtain an execution plan, and the execution plan is sent to the corresponding execution member according to the adjusted execution member information.

[0024] Optionally, the information processing method based on the AI ​​evaluation model, wherein the step of obtaining a language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting the project interaction information, specifically includes:

[0025] Obtaining an initial language description of the project plan from each execution member, screening and integrating all the initial language descriptions to obtain a language description of the project plan, wherein the initial language description is obtained by analyzing the execution plan input by multiple execution members;

[0026] The language description is input into the AI ​​evaluation model, and the AI ​​evaluation model analyzes the language description and outputs interaction information between the plurality of execution members and the execution scheme;

[0027] The interaction information indicates a sub-scheme in the execution scheme corresponding to each execution member.

[0028] Optionally, the information processing method based on the AI ​​evaluation model, wherein the language description is input into the AI ​​evaluation model, the AI ​​evaluation model analyzes the language description, and outputs the interaction information between the execution member and the execution scheme, further comprises:

[0029] The execution scheme is transmitted to the plurality of execution members, and the execution process of the target task is acquired in real time, wherein the execution process represents the process in which the execution members execute the target task according to the execution scheme;

[0030] Performing real-time evaluation on the collaboration process and progress process in the execution process to obtain an execution evaluation result, wherein the collaboration process represents the collaboration status between the plurality of execution members, and the progress process represents the execution status of the target task;

[0031] When the execution member completes the target task, the achievement rate of the target task is obtained, and the achievement rate is evaluated to obtain a progress evaluation result.

[0032] Optionally, the information processing method based on the AI ​​evaluation model, wherein the obtaining of the execution result of the execution plan and analyzing the execution result using the project interaction information to obtain the analysis result, specifically includes:

[0033] Integrate the execution evaluation result and the progress evaluation result to obtain the execution result of the execution plan;

[0034] According to all the project interaction information, the execution results are evaluated to obtain the sub-plan evaluation results of each execution member;

[0035] Integrate the evaluation results of all the sub-schemes to obtain the analysis results of the execution scheme.

[0036] In addition, to achieve the above-mentioned purpose, the present invention further provides an information processing system based on an AI evaluation model, wherein the information processing system based on an AI evaluation model comprises:

[0037] A project construction module is used to obtain target task information, create multiple project plans according to the target task information, and construct a project plan according to all the project plans;

[0038] A solution construction module, used to input the project solution into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project solution according to the indicator evaluation results and the inspection evaluation results to obtain the implementation solution;

[0039] A solution allocation module, used to obtain a language description of the project solution, input the language description into the AI ​​evaluation model, and output project interaction information;

[0040] The project evaluation module is used to obtain the execution result of the execution plan and analyze the execution result using the project interaction information to obtain the analysis result.

[0041] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and an information processing program based on an AI evaluation model stored in the memory and executable on the processor, wherein the information processing program based on the AI ​​evaluation model implements the steps of the information processing method based on the AI ​​evaluation model as described above when executed by the processor.

[0042] 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 an information processing program based on an AI evaluation model, and when the information processing program based on the AI ​​evaluation model is executed by a processor, the steps of the information processing method based on the AI ​​evaluation model as described above are implemented.

[0043] In the present invention, target task information is obtained, multiple project plans are created according to the target task information, and a project plan is constructed according to all the project plans; the project plan is input into the constructed AI evaluation model, and the indicator evaluation results and the inspection evaluation results are output, and the project plan is updated according to the indicator evaluation results and the inspection evaluation results to obtain the execution plan; the language description of the execution plan is obtained, and the language description is input into the AI ​​evaluation model to output the project interaction information; the execution result of the execution plan is obtained, and the execution result is analyzed using the project interaction information to obtain the analysis result. The present invention uses AI to lead the project, evaluate the feasibility of the plan from multiple fields, and evaluate the execution process and results of the plan from the perspective of multiple execution members, so as to achieve full supervision of the project, greatly improve the efficiency of project management, and improve the success rate of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a preferred embodiment of the information processing method based on the AI ​​evaluation model of the present invention;

[0045] Figure 2 It is a model abstract schematic diagram of a preferred embodiment of the information processing method based on the AI ​​evaluation model of the present invention;

[0046] Figure 3 It is a schematic diagram of project type creation of a preferred embodiment of the information processing method based on the AI ​​evaluation model of the present invention;

[0047] Figure 4 It is a specific flow chart of a preferred embodiment of the information processing method based on the AI ​​evaluation model of the present invention;

[0048] Figure 5 It is a human-computer interaction flow chart of a preferred embodiment of the information processing method based on the AI ​​evaluation model of the present invention;

[0049] Figure 6 It is a structural diagram of a preferred embodiment of the information processing system based on the AI ​​evaluation model of the present invention;

[0050] Figure 7 Schematic diagram of the operating environment of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] The information processing method based on the AI ​​evaluation model described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the information processing method based on the AI ​​evaluation model includes the following steps:

[0053] Step S10: Obtain target task information, create multiple project plans according to the target task information, and construct a project plan according to all the project plans.

[0054] The target task information includes: project budget information, project risk information and project indicator information, and the project plan includes: a first project plan and a second project plan. Figure 2 As shown, before executing the process of building a project, an AI role is abstracted through AI. As the AI ​​project leader, he can directly communicate with all the executors of the target plan, so as to obtain more comprehensive target task information, and better judge the target tasks, so as to build a more accurate project plan. Comprehensive consideration of target task information in multiple fields can also improve the efficiency of task information processing.

[0055] Specifically, the project budget information, the project risk information and the project indicator information of the target task are obtained; the project budget information is analyzed to obtain the first project plan, and the project risk information and the project indicator information are analyzed to obtain the second project plan; if the target task is judged to be compliant according to the first project plan and the second project plan, a project plan for the target task is constructed.

[0056] Among them, after obtaining the target task information input by the execution member, the priority of the target task is determined, such as Figure 3 As described above, for tasks with accurate targets and whose indicators are judged to be compliant through AI review, this target task will have the highest priority, and the executive members can create the corresponding project with one click. For scenarios without accurate targets and where there are risks in the target tasks, the risks will be prompted during the creation process to remind managers to pay attention to the target tasks, avoid wasting resources, and improve the efficiency of task information management.

[0057] Furthermore, if the budget in the project budget information meets the budget standard, a first project plan is generated, wherein the first project plan indicates the execution of the target task; if the project risk information indicates the revenue growth of the target task, and the project indicator information indicates that the target task is within the executable range, a second project plan is generated, wherein the second project plan indicates the execution of the target task.

[0058] Among them, the automatically created rules are budget indicators and goals. Once the automation setting is completed, AI will check the project creation elements. After the creation elements are met (the compliance rules can be set by the organization according to its own situation), AI will automatically create the project; prompt one-click creation means that AI will judge whether it is necessary to create a project for closed-loop follow-up based on abnormalities or risks. If necessary, AI will organize the information of the project to be created and inform the corresponding person in charge through prompts. The person in charge can browse the project information to be created provided by AI. If it is judged that the information prompted by AI is reasonable, click the "Prompt one-click creation" button to complete the project creation.

[0059] Among them, the risk information of the target task can be judged by its revenue indicator. According to the year-on-year or month-on-month comparison, if it is lower than the year-on-year value or the month-on-month value, it is regarded as the revenue indicator is unqualified, that is, the target task is at risk. By analyzing the budget, risk and target accuracy of the target task, different creation processes are executed for the target task, which improves the utilization rate of the target task information, strengthens the management process of the target task, improves the resource utilization rate, and effectively reduces the execution cost.

[0060] Step S20: input the project plan into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project plan according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan.

[0061] Among them, after constructing the initial project plan, the AI ​​evaluation model is used to evaluate the project plan. At the same time, multiple rounds of dialogues are introduced between the executive members and the AI ​​evaluation model to update the project plan and obtain the execution plan. On the basis of ensuring the integrity of the task, the cost is reduced and the efficiency of task completion is improved.

[0062] Specifically, the execution member information input by the user is obtained, and the execution member information and the project plan are input into the constructed AI evaluation model; the AI ​​evaluation model analyzes the first project plan, the second project plan and the execution member information in the project plan, and outputs initial indicator evaluation results and initial inspection evaluation results; if the project plan is judged to be unreasonable based on the initial indicator evaluation results or the initial inspection evaluation results, the execution member information is adjusted until the project plan is reasonable, and the AI ​​evaluation model outputs indicator evaluation results and inspection evaluation results; based on the indicator evaluation results and the inspection evaluation results, the project plan is optimized to obtain an execution plan, and based on the adjusted execution member information, the execution plan is sent to the corresponding execution member.

[0063] Among them, Figure 4 As shown in the figure, before the project plan is input into the AI ​​evaluation model, the AI ​​evaluation model will write an initial plan based on the dialogue information input by the executive members (i.e., the description of the target task) and the plan framework template, and then combine the project plan to monitor the sub-project processes of the plan, evaluate the rationality of each sub-project process, and optimize the unreasonable sub-project processes until each sub-project process is the preferred option. After integration, the execution plan is obtained and sent to the executive members. During the evaluation process, the executive members can input relevant execution data according to their own situation, so as to evaluate the risk information of the project, thereby obtaining a more comprehensive execution plan, which also makes the execution plan more reasonable and more in line with the organization's goals and actual situation.

[0064] Step S30: Obtain a language description of the execution plan, input the language description into the AI ​​evaluation model, and output project interaction information.

[0065] Specifically, an initial language description of the project plan by each executive member is obtained, and all the initial language descriptions are screened and integrated to obtain a language description of the project plan, wherein the initial language description is obtained by analyzing the execution plan input by multiple executive members; the language description is input into the AI ​​evaluation model, and the AI ​​evaluation model analyzes the language description and outputs interaction information between the multiple executive members and the execution plan; wherein the interaction information represents the sub-plan in the execution plan corresponding to each of the executive members.

[0066] Among them, Figure 5As shown, the language description of the project plan of the target task by each executive member is obtained, and then screening and analysis are performed to obtain the project intention of the target task and perform intention identification. Then, based on this, interaction is carried out with each executive member (specifically, analysis of the sub-projects of the target task is performed, and each executive member inputs relevant opinions every time an updated sub-project is given, until the given sub-project meets the indicator standards and the executive members have no objection), and finally the interactive information of the project is generated.

[0067] Furthermore, the execution plan is transmitted to multiple execution members, and the execution process of the target task is obtained in real time, wherein the execution process represents the process of the execution members executing the target task according to the execution plan; the collaboration process and the progress process in the execution process are evaluated in real time to obtain an execution evaluation result, wherein the collaboration process represents the collaboration status between multiple execution members, and the progress process represents the execution status of the target task; when the execution member completes the target task, the achievement rate of the target task is obtained, and the achievement rate is evaluated to obtain a progress evaluation result.

[0068] Among them, each executive member evaluates the sub-plan generated by the model separately (this process is mainly used to adjust the fit between the executive member and the updated plan to avoid deviation from the target task due to excessive plan modification). This process can effectively integrate the knowledge and opinions of multiple executive members in different fields, improve the efficiency of project plan generation, improve the efficiency of multi-field information management, and make the final generated execution plan more accurate.

[0069] Step S40: Obtain the execution result of the execution plan, and analyze the execution result using the project interaction information to obtain an analysis result.

[0070] Specifically, the execution evaluation results and the progress evaluation results are integrated to obtain the execution results of the execution plan; the execution results are evaluated according to all project interaction information to obtain the sub-plan evaluation results of each execution member; and all sub-plan evaluation results are integrated to obtain the analysis results of the execution plan.

[0071] Among them, after completing the target task according to the execution plan, on the one hand, the execution results generated by the AI ​​evaluation model are obtained, and on the other hand, the interaction information between the execution members and the model is used to analyze the execution process to judge the accuracy, fluency and other indicators of the execution results of the entire project. The final analysis results can also be used to train the AI ​​evaluation model, supplement parameters, correct the model, improve the accuracy of the model's project evaluation, and at the same time improve the accuracy of the model's intention recognition of the execution members' language.

[0072] The present invention uses AI to lead the project, evaluate the feasibility of the plan from multiple fields, and evaluate the execution process and results of the plan from the perspective of multiple execution members, thereby achieving full supervision of the project, greatly improving the efficiency of project management, and increasing the success rate of the project.

[0073] Furthermore, if Figure 6 As shown, based on the above-mentioned information processing method based on the AI ​​evaluation model, the present invention also provides an information processing system based on the AI ​​evaluation model, wherein the information processing system based on the AI ​​evaluation model includes:

[0074] The project construction module 51 is used to obtain target task information, create multiple project plans according to the target task information, and construct a project plan according to all the project plans;

[0075] A scheme construction module 52 is used to input the project scheme into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project scheme according to the indicator evaluation results and the inspection evaluation results to obtain an implementation plan;

[0076] A solution allocation module 53 is used to obtain a language description of the project solution, input the language description into the AI ​​evaluation model, and output project interaction information;

[0077] The project evaluation module 54 is used to obtain the execution result of the execution plan and analyze the execution result using the project interaction information to obtain an analysis result.

[0078] Furthermore, if Figure 7 As shown, based on the above-mentioned information processing method and system based on the AI ​​evaluation model, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 7 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.

[0079] 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 (SecureDigital, 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 on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, an information processing program 40 based on an AI evaluation model is stored on the memory 20, and the information processing program 40 based on the AI ​​evaluation model can be executed by the processor 10, thereby realizing the information processing method based on the AI ​​evaluation model in the present application.

[0080] 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 information processing method based on the AI ​​evaluation model.

[0081] 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 of the terminal communicate with each other via a system bus.

[0082] In one embodiment, when the processor 10 executes the information processing program 40 based on the AI ​​evaluation model in the memory 20, the following steps are implemented:

[0083] Acquire target task information, create multiple project plans based on the target task information, and construct a project plan based on all the project plans;

[0084] Input the project plan into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project plan according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan;

[0085] Obtaining a language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting project interaction information;

[0086] The execution result of the execution plan is obtained, and the execution result is analyzed using the project interaction information to obtain an analysis result.

[0087] The target task information includes: project budget information, project risk information and project indicator information, and the project plan includes: a first project plan and a second project plan;

[0088] The step of obtaining target task information, creating multiple project plans according to the target task information, and constructing a project plan according to all the project plans specifically includes:

[0089] Obtaining the project budget information, the project risk information and the project indicator information of the target task;

[0090] Analyze the project budget information to obtain the first project plan, and analyze the project risk information and the project indicator information to obtain the second project plan;

[0091] If, based on the first project plan and the second project plan, it is determined that the target task is compliant, a project plan for the target task is constructed.

[0092] The analyzing the project budget information to obtain the first project plan, and analyzing the project risk information and the project indicator information to obtain the second project plan specifically include:

[0093] If the budget in the project budget information meets the budget standard, generating a first project plan, wherein the first project plan indicates the execution of the target task;

[0094] If the project risk information indicates revenue growth of the target task, and the project indicator information indicates that the target task is within the executable range, a second project plan is generated, wherein the second project plan indicates executing the target task.

[0095] The step of inputting the project plan into the constructed AI evaluation model, outputting the indicator evaluation results and the inspection evaluation results, and updating the project plan according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan specifically includes:

[0096] Obtaining the executive member information input by the user, and inputting the executive member information and the project plan into the constructed AI evaluation model;

[0097] The AI ​​evaluation model analyzes the first project plan, the second project plan and the execution member information in the project plan, and outputs an initial indicator evaluation result and an initial inspection evaluation result;

[0098] If the project plan is judged to be unreasonable according to the initial indicator evaluation result or the initial inspection evaluation result, the execution member information is adjusted until the project plan is reasonable, and the AI ​​evaluation model outputs the indicator evaluation result and the inspection evaluation result;

[0099] According to the indicator evaluation results and the inspection evaluation results, the project plan is optimized to obtain an execution plan, and the execution plan is sent to the corresponding execution member according to the adjusted execution member information.

[0100] The obtaining of the language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting the project interaction information specifically includes:

[0101] Obtaining an initial language description of the project plan from each execution member, screening and integrating all the initial language descriptions to obtain a language description of the project plan, wherein the initial language description is obtained by analyzing the execution plan input by multiple execution members;

[0102] The language description is input into the AI ​​evaluation model, and the AI ​​evaluation model analyzes the language description and outputs interaction information between the plurality of execution members and the execution scheme;

[0103] The interaction information indicates a sub-scheme in the execution scheme corresponding to each execution member.

[0104] The step of inputting the language description into the AI ​​evaluation model, wherein the AI ​​evaluation model analyzes the language description and outputs the interaction information between the execution member and the execution scheme, further comprising:

[0105] The execution scheme is transmitted to the plurality of execution members, and the execution process of the target task is acquired in real time, wherein the execution process represents the process in which the execution members execute the target task according to the execution scheme;

[0106] Performing real-time evaluation on the collaboration process and progress process in the execution process to obtain an execution evaluation result, wherein the collaboration process represents the collaboration status between the plurality of execution members, and the progress process represents the execution status of the target task;

[0107] When the execution member completes the target task, the achievement rate of the target task is obtained, and the achievement rate is evaluated to obtain a progress evaluation result.

[0108] The obtaining of the execution result of the execution scheme and analyzing the execution result by using the project interaction information to obtain the analysis result specifically includes:

[0109] Integrate the execution evaluation result and the progress evaluation result to obtain the execution result of the execution plan;

[0110] According to all the project interaction information, the execution results are evaluated to obtain the sub-plan evaluation results of each execution member;

[0111] Integrate the evaluation results of all the sub-schemes to obtain the analysis results of the execution scheme.

[0112] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores an information processing program based on an AI evaluation model, and when the information processing program based on the AI ​​evaluation model is executed by a processor, the steps of the information processing method based on the AI ​​evaluation model as described above are implemented.

[0113] In summary, the present invention provides an information processing method and related equipment based on an AI evaluation model, the method comprising: obtaining target task information, creating multiple project plans according to the target task information, and constructing a project plan according to all the project plans; inputting the project plan into the constructed AI evaluation model, outputting the indicator evaluation results and the inspection evaluation results, and updating the project plan according to the indicator evaluation results and the inspection evaluation results to obtain an execution plan; obtaining a language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting project interaction information; obtaining the execution result of the execution plan, and analyzing the execution result using the project interaction information to obtain an analysis result. The present invention uses AI to lead the project, evaluate the feasibility of the plan from multiple fields, and evaluate the execution process and results of the plan from the perspective of multiple execution members, so as to achieve full supervision of the project, greatly improve the efficiency of project management, and improve the success rate of the project.

[0114] 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.

[0115] 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.

[0116] 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. An information processing method based on an AI evaluation model, characterized in that: The information processing method based on the AI ​​evaluation model includes: Acquire target task information, create multiple project plans based on the target task information, and construct a project plan based on all the project plans; Input the project plan into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project plan according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan; Obtaining a language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting project interaction information; The execution result of the execution plan is obtained, and the execution result is analyzed using the project interaction information to obtain an analysis result.

2. The information processing method based on the AI ​​evaluation model according to claim 1 is characterized in that: The target task information includes: project budget information, project risk information and project indicator information, and the project plan includes: a first project plan and a second project plan; The step of obtaining target task information, creating multiple project plans according to the target task information, and constructing a project plan according to all the project plans specifically includes: Obtaining the project budget information, the project risk information and the project indicator information of the target task; Analyze the project budget information to obtain the first project plan, and analyze the project risk information and the project indicator information to obtain the second project plan; If, based on the first project plan and the second project plan, it is determined that the target task is compliant, a project plan for the target task is constructed.

3. The information processing method based on the AI ​​evaluation model according to claim 2 is characterized in that: The analyzing the project budget information to obtain the first project plan, and analyzing the project risk information and the project indicator information to obtain the second project plan specifically include: If the budget in the project budget information meets the budget standard, generating a first project plan, wherein the first project plan indicates the execution of the target task; If the project risk information indicates revenue growth of the target task, and the project indicator information indicates that the target task is within the executable range, a second project plan is generated, wherein the second project plan indicates executing the target task.

4. The information processing method based on the AI ​​evaluation model according to claim 3 is characterized in that: The project plan is input into the constructed AI evaluation model, the indicator evaluation results and the inspection evaluation results are output, and the project plan is updated according to the indicator evaluation results and the inspection evaluation results to obtain the implementation plan, which specifically includes: Obtaining the executive member information input by the user, and inputting the executive member information and the project plan into the constructed AI evaluation model; The AI ​​evaluation model analyzes the first project plan, the second project plan and the execution member information in the project plan, and outputs an initial indicator evaluation result and an initial inspection evaluation result; If the project plan is judged to be unreasonable according to the initial indicator evaluation result or the initial inspection evaluation result, the execution member information is adjusted until the project plan is reasonable, and the AI ​​evaluation model outputs the indicator evaluation result and the inspection evaluation result; According to the indicator evaluation results and the inspection evaluation results, the project plan is optimized to obtain an execution plan, and the execution plan is sent to the corresponding execution member according to the adjusted execution member information.

5. The information processing method based on the AI ​​evaluation model according to claim 1, characterized in that: The obtaining of the language description of the execution plan, inputting the language description into the AI ​​evaluation model, and outputting the project interaction information specifically includes: Obtaining an initial language description of the project plan from each execution member, screening and integrating all the initial language descriptions to obtain a language description of the project plan, wherein the initial language description is obtained by analyzing the execution plan input by multiple execution members; The language description is input into the AI ​​evaluation model, and the AI ​​evaluation model analyzes the language description and outputs interaction information between the plurality of execution members and the execution scheme; The interaction information indicates a sub-scheme in the execution scheme corresponding to each execution member.

6. The information processing method based on the AI ​​evaluation model according to claim 5 is characterized in that: The step of inputting the language description into the AI ​​evaluation model, wherein the AI ​​evaluation model analyzes the language description and outputs the interaction information between the execution member and the execution solution, further comprising: The execution scheme is transmitted to the plurality of execution members, and the execution process of the target task is acquired in real time, wherein the execution process represents the process in which the execution members execute the target task according to the execution scheme; Performing real-time evaluation on the collaboration process and progress process in the execution process to obtain an execution evaluation result, wherein the collaboration process represents the collaboration status between the plurality of execution members, and the progress process represents the execution status of the target task; When the execution member completes the target task, the achievement rate of the target task is obtained, and the achievement rate is evaluated to obtain a progress evaluation result.

7. The information processing method based on the AI ​​evaluation model according to claim 6 is characterized in that: The obtaining of the execution result of the execution scheme and analyzing the execution result by using the project interaction information to obtain the analysis result specifically includes: Integrate the execution evaluation result and the progress evaluation result to obtain the execution result of the execution plan; According to all the project interaction information, the execution results are evaluated to obtain the sub-plan evaluation results of each execution member; Integrate the evaluation results of all the sub-schemes to obtain the analysis results of the execution scheme.

8. An information processing system based on an AI evaluation model, characterized in that: The information processing system based on the AI ​​evaluation model includes: A project construction module is used to obtain target task information, create multiple project plans according to the target task information, and construct a project plan according to all the project plans; A scheme construction module, used to input the project scheme into the constructed AI evaluation model, output the indicator evaluation results and the inspection evaluation results, and update the project scheme according to the indicator evaluation results and the inspection evaluation results to obtain an implementation plan; A solution allocation module, used to obtain a language description of the project solution, input the language description into the AI ​​evaluation model, and output project interaction information; The project evaluation module is used to obtain the execution result of the execution plan and analyze the execution result using the project interaction information to obtain the analysis result.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and an information processing program based on an AI evaluation model stored in the memory and executable on the processor. When the information processing program based on the AI ​​evaluation model is executed by the processor, the steps of the information processing method based on the AI ​​evaluation model as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an information processing program based on an AI evaluation model, and when the information processing program based on the AI ​​evaluation model is executed by a processor, the steps of the information processing method based on the AI ​​evaluation model as described in any one of claims 1 to 7 are implemented.

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