Comprehensive integration discussion decision support system

Abstract

The invention discloses a comprehensive integrated discussion decision support system, which comprises the following steps: S1, a discussion target decomposition module, S2, a module for generating a conference core viewpoint abstract in real time, S3, an integrated discussion tool analysis module, and S4, an expert opinion comprehensive result visualization module, the S3 module comprises an SWOT analysis module, a brainstorm module, an online voting module, a gravity center analysis module and a system evaluation module, the conference efficiency and quality are remarkably improved, the decision support capability is enhanced, the team cooperation efficiency is improved, the conference transparency and fairness are enhanced, and visual report display is achieved.

Description

Technical Field

[0001] The present invention relates to the fields of decision support and artificial intelligence, and in particular to a comprehensive integrated discussion decision support system. Background Art

[0002] When dealing with complex decision-making problems, especially those involving open complex giant systems, traditional methods such as operations research, management science models, system dynamics and self-organization theory are often inadequate when faced with complex giant systems because they are mainly applicable to simple systems or simple giant systems. These methods are usually difficult to fully capture the full complexity of complex giant systems, including but not limited to the complex relationships between their internal subsystems, the interaction with the external environment, and the dynamic changes of the system.

[0003] The "integrated method from qualitative to quantitative" proposed by Mr. Qian Xuesen in 1989, and the subsequent concept of "open complex giant system" and corresponding methodology developed in 1992, provide a new path for solving such complex problems. This methodology emphasizes the organic combination of the experience and wisdom of the expert group, statistical data and information with computer simulation technology to achieve efficient solutions to complex problems. However, although this concept is forward-looking, in practical applications, how to effectively support group creativity and guide the expert group to conduct in-depth analysis and demonstration is still a challenge.

[0004] Traditional decision support tools and technologies have the following limitations when applied to complex giant systems:

[0005] 1. Disconnection between qualitative and quantitative analysis: Traditional methods either rely too much on quantitative data and ignore the importance of human experience and intuition; or they focus too much on qualitative analysis and lack precise data support.

[0006] 2. Insufficient human-computer collaboration: Existing decision support systems fail to fully integrate human expertise with the powerful computing power of computers, resulting in the underutilization of the potential between the two.

[0007] 3. Low resource integration: Knowledge, information and tools from different sources are scattered, and there is a lack of an effective platform to organically combine them to support complex decision-making processes.

[0008] 4. Limited creativity stimulation: The existing system has limited ability to stimulate group creativity and support innovative thinking, making it difficult to effectively promote the generation and development of new ideas.

[0009] 5. Lack of adaptability and flexibility: Many traditional systems show obvious lag and rigidity when dealing with rapidly changing environments and unstructured problems.

[0010] To sum up, effective solutions to complex giant system decision-making problems still need to be further explored and improved. The present invention aims to build a more intelligent and efficient comprehensive integrated discussion decision support system by introducing a new generation of information technology, especially artificial intelligence large model technology and intelligent analysis tools, so as to better overcome the shortcomings of the existing technology. Summary of the invention

[0011] In order to overcome the above-mentioned shortcomings, the present invention provides a comprehensive integrated discussion decision support system.

[0012] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0013] A comprehensive integrated discussion decision support system includes the following steps:

[0014] S1, research target decomposition module;

[0015] S2, module for generating summary of core ideas of the meeting in real time;

[0016] S3, integrated discussion tool analysis module;

[0017] S4, visualization module of comprehensive results of expert opinions;

[0018] Among them, the S3 module includes SWOT analysis module, brainstorming module, online voting module, center of gravity analysis module and system evaluation module.

[0019] Preferably, the SWOT analysis module includes the following steps:

[0020] A1. Provide a SWOT analysis framework, allowing users to input relevant information on topics or subtopics;

[0021] A2. The system automatically analyzes the inherent advantages, inherent disadvantages, external opportunities and potential threats of the topic or sub-topic;

[0022] A3. Use big model technology to deeply explore and evaluate strengths, weaknesses, opportunities and threats, and provide comprehensive analysis results;

[0023] A4. Support users to formulate strategies and plan action plans based on analysis results.

[0024] Preferably, the brainstorming module includes the following steps:

[0025] B1 provides brainstorming analysis tools, which are divided into four steps: creative stimulation, thinking collision, comprehensive analysis, and rapid convergence;

[0026] B2 allows team members to think freely, break conventions, and share and discuss ideas and opinions through online platforms;

[0027] B3. The system automatically records and organizes scattered ideas and opinions, uses intelligent algorithms to quickly converge, and forms specific and feasible solutions or action plans;

[0028] B4. Provide visual display of brainstorming results to facilitate user understanding and evaluation.

[0029] Preferably, the online voting module comprises the following steps:

[0030] C1. Provide comprehensive voting management functions, including setting voting names and contents, and quickly publishing voting activities with one click;

[0031] C2. Support anonymous voting mode to protect voter privacy and ensure the fairness of voting results.

[0032] C3. Collect voting data of participants in real time, automatically organize the collected data, and conduct real-time statistics and updates.

[0033] C4. Provide intuitive charts to display voting results to ensure that the voting process is efficient, transparent and easy to understand.

[0034] Preferably, the center of gravity analysis module includes the following steps:

[0035] D1. Realize the quantitative management of key focus data, key capabilities, key requirements and key vulnerabilities;

[0036] D2, data management functions covering weights and important scoring factors, supporting users to input and manage relevant data;

[0037] D3, support processing of user input data, including weighting, analysis and synthesis operations;

[0038] D4. Provides interpretation and analysis functions, allowing users to input and associate analysis results, and supports editing and management of analysis results;

[0039] D5. Provides editing, management and export functions for response plans and action plans, and can ultimately present the entire process and results of the COG analysis in visual forms such as charts and reports.

[0040] Preferably, the system evaluation module comprises the following steps:

[0041] E1. Supports comprehensive evaluation of programs, projects and other related factors;

[0042] E2. Ability to construct a corresponding evaluation system based on the characteristics of the research problem and select an appropriate evaluation model for analysis;

[0043] E3. Provide indicator library construction and management functions, allowing users to create and edit indicators around research questions and manage indicator information in detail;

[0044] E4. Support setting and running multiple evaluation models, and select appropriate algorithm models to meet different evaluation needs;

[0045] E5. Ability to integrate the results of various evaluation methods, give comprehensive evaluation conclusions, and intuitively display the evaluation results in visual forms such as charts.

[0046] Preferably, the research target decomposition module comprises the following steps:

[0047] S11. Receive the research objectives input by the user, and use large model processing technology to parse and decompose the objectives.

[0048] S12. Use intelligent algorithms to refine the objectives based on multi-dimensional information such as content details, specific types, different analysis dimensions, and value considerations of the research objectives.

[0049] S13. Automatically break down the macro and broad research objectives into a series of small and feasible goals and specific tasks, ensuring that each small goal is closely centered around the overall goal.

[0050] S14. Clarify the interlinkages between small goals, such as sequence, dependency or synergy, to create a clear path for promoting the seminar activities.

[0051] The working principle of the seminar goal decomposition module is that according to the content details, specific types, different analysis dimensions, value considerations and other multi-dimensional information of the seminar goals, the system will automatically and accurately break down the macro and broad seminar goals into a series of small goals and specific tasks that can be implemented, ensuring that each small goal is closely centered around the overall goal, and clarifying the mutual links between the small goals, including but not limited to the sequence, dependency or synergy, so that the promotion path of the entire seminar activity is clear and easy for participants to understand and implement. Through goal decomposition, the seminar can focus on core issues more effectively, improve discussion efficiency and quality, and ensure that the final results are both in line with the macro vision and feasible for practical operation.

[0052] Preferably, the real-time generation of the conference core viewpoint summary module includes the following steps:

[0053] S21. Use advanced speech-to-text engine technology to capture the speech content of each participant during the seminar in real time and quickly convert it into detailed text files;

[0054] S22. Input text files into the large model processing system and use natural language processing technology and deep learning algorithms to deeply refine and intelligently summarize the information;

[0055] S23. The system automatically identifies and extracts the key topics and core arguments in the meeting, as well as the consensus and differences among the participants on various topics;

[0056] S24. Based on the results of the refinement, generate a well-organized and clear summary of the core ideas of the personal meeting to provide a basis for the efficient conduct and judgment of the discussion process.

[0057] The working principle of the real-time generation of conference core viewpoint summary module is to use speech-to-text engine technology to capture the speech content of each participant during the seminar in real time and accurately, and quickly convert it into detailed text files. Then, these text files will be input into the large model processing system. The system uses natural language processing technology and deep learning algorithms to deeply refine and intelligently summarize the information. The system automatically identifies and refines the key topics and core arguments in the meeting, as well as the consensus and differences of the participants on various topics, and finally generates a well-organized and clear summary of the core viewpoints of the personal meeting, which provides a basis for the efficient conduct and judgment of the discussion process.

[0058] Preferably, the expert opinion comprehensive result visualization module comprises the following steps:

[0059] S41, integrated questionnaire design, editing and group sending functions, capable of distributing survey questions to designated expert groups and collecting expert opinions to form a viewpoint library;

[0060] S42. Provide the ability to integrate opinion data, including removing duplicate and irrelevant content, sorting and other processing operations;

[0061] S43. Use intelligent algorithms to deeply analyze and integrate expert opinions to form effective summary results;

[0062] S44 ultimately presents the overview, analysis, integration results and recommendations of expert opinions through a visual report, providing a comprehensive and objective reference for decision makers.

[0063] The working principle of the expert opinion comprehensive result visualization module is that the expert opinion comprehensive module integrates the design, editing and group sending functions of the questionnaire, can distribute survey questions to designated expert groups and collect expert opinions to form an opinion library. The module also has the ability to integrate opinion data, including removing duplicate and irrelevant content, sorting and other processing, so as to effectively summarize the opinions of multiple experts, and finally display the overview, analysis, integration results and suggestions of expert opinions through a visual report.

[0064] The beneficial effects of the present invention are: in the comprehensive integrated discussion decision support system,

[0065] 1. Significantly improve meeting efficiency and quality. By collecting meeting speeches in real time and using natural language processing technology and deep learning algorithms to automatically identify and refine key topics, the meeting time is significantly shortened and meeting efficiency is improved. At the same time, the system can generate a well-organized and clear summary of the core ideas of individual meetings, providing participants with clear meeting records, helping them to better understand and evaluate the content of the meeting, thereby improving the quality of the meeting.

[0066] 2. Enhance decision-making support capabilities. By integrating questionnaire design, editing and group sending functions, it can efficiently collect expert opinions, and use intelligent algorithms for in-depth analysis and integration to form a comprehensive and objective summary of opinions, providing strong decision-making support for decision makers. In addition, the system also provides a variety of intelligent analysis tools such as SWOT analysis, center of gravity analysis, and system evaluation to help decision makers examine problems from different angles and formulate more scientific and reasonable strategies and action plans;

[0067] 3. Improve team collaboration efficiency. The brainstorming module allows team members to think freely, break the routine, and share and discuss ideas and opinions through online platforms. The system automatically records and organizes these scattered ideas and opinions, and uses intelligent algorithms to quickly converge to form specific and feasible solutions or action plans. This not only improves team collaboration efficiency, but also promotes the stimulation and diffusion of innovative thinking;

[0068] 4. Enhance the transparency and fairness of the meeting. The online voting module provides comprehensive voting management functions, supports anonymous voting mode, protects voter privacy, and ensures the fairness of voting results. At the same time, the system can collect voting data of participants in real time, and conduct real-time statistics and updates, and display voting results in intuitive charts, making the meeting process more efficient, transparent and easy to understand;

[0069] 5. Visual report display: It provides visual report display functions, including summary of core ideas of the meeting, brainstorming results, voting results, center of gravity analysis results, system evaluation results, and comprehensive results of expert opinions, etc. These visual reports not only make the data more intuitive and easy to understand, but also help participants better understand and evaluate the results of the meeting, providing strong data support for subsequent decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The present invention will now be described by way of example with reference to the accompanying drawings, in which:

[0071] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0072] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0073] like Figure 1 As shown, a comprehensive integrated discussion decision support system includes the following steps:

[0074] S1. Research goal decomposition module: This module is based on natural language processing technology. It parses and understands the input research goals through algorithms, uses intelligent algorithms to break down macro goals into a series of small goals and specific tasks, and generates a clear promotion path.

[0075] S2. A module for generating summary of core ideas of a meeting in real time. This module integrates an advanced speech-to-text engine to convert audio data into text files in real time. The text files are input into a large model processing system, which uses natural language processing technology and deep learning algorithms to perform deep extraction and intelligent summarization. The system automatically generates a coherent summary of core ideas of the meeting and displays it on the interface for participants' reference.

[0076] S3, integrated discussion tool analysis module;

[0077] S4, expert opinion comprehensive result visualization module, provides a GUI for questionnaire design, editing and group sending functions. The system automatically integrates expert opinion data, removes duplicate and irrelevant content, and sorts and processes it. It uses intelligent algorithms to conduct in-depth analysis and integration of expert opinions to form a summary of opinions. The final result is displayed on the interface through a visual report to provide a reference for decision makers;

[0078] Among them, the S3 module includes SWOT analysis module, brainstorming module, online voting module, center of gravity analysis module and system evaluation module.

[0079] The SWOT analysis module provides a graphical user interface (GUI) of the SWOT analysis framework, allowing users to input relevant information on issues or sub-issues. The system background uses big model technology to analyze the input information and generate detailed reports on strengths, weaknesses, opportunities and threats. Users can formulate strategies and action plans based on the report content and save and share them through the system interface.

[0080] The brainstorming module provides an online brainstorming platform to support team members to think freely and share ideas. The system automatically records and organizes these ideas, and quickly converges through intelligent algorithms to form solutions or action plans. The final results are displayed in a visual form on the interface to facilitate user understanding and evaluation.

[0081] The online voting module provides a GUI for voting management functions, allowing users to set voting names, contents and other parameters. The system supports anonymous voting mode to ensure the fairness of voting results, collects voting data in real time, performs statistics and updates, and displays voting results in intuitive charts.

[0082] The center of gravity analysis module provides quantitative management functions for key center of gravity data, key capabilities, key requirements and key vulnerabilities. Users can input and manage relevant data, such as weights, scores, etc., through the GUI. The system processes and analyzes these data and generates explanatory analysis reports and response plans. The final results are displayed on the interface in visual forms such as charts and reports.

[0083] The system evaluation module provides a GUI with comprehensive evaluation functions, supports users to build an evaluation system and select an evaluation model based on the characteristics of the research problem, provides indicator library construction and management functions, allows users to create and edit indicators, and the system runs the selected evaluation model, integrates the results of various evaluation methods, and gives a comprehensive evaluation conclusion. The evaluation results are displayed on the interface in a visual form such as charts.

[0084] The system hardware composition of this system is:

[0085] 1. Servers and computing equipment:

[0086] 1) The system is deployed on high-performance servers to ensure that it can process large amounts of data and run complex algorithms.

[0087] 2) Equipped with sufficient storage devices and backup systems to store meeting minutes, analysis results and other data.

[0088] 3) Equip with necessary network equipment to ensure that the system can stably connect to participants' devices and transmit data in real time.

[0089] 2. Audio acquisition equipment:

[0090] 1) Install high-quality microphone arrays in the conference room to ensure that the speech of each participant can be clearly captured.

[0091] 2) The microphone array is connected to the server through an audio processing device to perform real-time audio-to-text processing.

[0092] 3. Display device:

[0093] 1) Equipped with a large-screen display or projector to display visual reports such as summaries of the meeting’s core ideas and analysis results.

[0094] The operating steps of the system are:

[0095] 1. System initialization:

[0096] Start the server and computing equipment and ensure the network connection is stable.

[0097] Open the system interface and perform login verification.

[0098] 2. Input research objectives:

[0099] In the research objective decomposition module, enter the macro research objectives.

[0100] The system automatically analyzes and refines the goals and generates a promotion path.

[0101] 3. Conference speech collection:

[0102] During meetings, microphone arrays capture speech in real time.

[0103] The system converts audio data into text files and performs deep extraction and intelligent summarization.

[0104] 4. Use intelligent analysis tools:

[0105] Depending on the needs of the meeting, choose to use modules such as SWOT analysis, brainstorming, online voting, center of gravity analysis, and system evaluation.

[0106] Input relevant information or data, and the system will generate analysis results and reports.

[0107] 5. View and analyze the results:

[0108] View the analysis results and reports generated by each module on the system interface.

[0109] Further analysis and discussion of the results are conducted as needed.

[0110] 6. Save and share results:

[0111] Save analysis results and reports to the server.

[0112] Share the results with participants or decision makers through the system interface.

[0113] 7. Collection and integration of expert opinions:

[0114] Design the questionnaire in the expert opinion synthesis module.

[0115] Distribute survey questions to a designated group of experts and gather input.

[0116] The system automatically integrates and analyzes expert opinions and generates visual reports.

[0117] 8. End of meeting and summary:

[0118] At the end of the meeting, review all analysis results and reports.

[0119] Summarize and discuss the results and develop a follow-up action plan.

[0120] Specifically, the SWOT analysis module includes the following steps;

[0121] A1. Provide a SWOT analysis framework, allowing users to input relevant information on topics or subtopics;

[0122] A2. The system automatically analyzes the inherent advantages, inherent disadvantages, external opportunities and potential threats of the topic or sub-topic;

[0123] A3. Use big model technology to deeply explore and evaluate strengths, weaknesses, opportunities and threats, and provide comprehensive analysis results;

[0124] A4. Support users to formulate strategies and plan action plans based on analysis results.

[0125] By using the SWOT analysis tool, we can conduct a comprehensive and in-depth assessment of the topic or sub-topic, analyzing its internal strengths, inherent weaknesses, external opportunities and potential threats. Through the SWOT framework, we can analyze and examine the current status and strength of the topic or sub-topic, including the advantages of unique core competitiveness, resource endowment, technological innovation capabilities, and possible disadvantages such as improper resource allocation, technical bottlenecks, and slow response speed. By systematically sorting out these key factors, SWOT analysis provides decision makers with a comprehensive and objective perspective to formulate more accurate and effective strategies and action plans.

[0126] Specifically, the brainstorming module includes the following steps:

[0127] B1. Provide brainstorming analysis tools, which are divided into four steps: creative stimulation, thinking collision, comprehensive analysis, and rapid convergence;

[0128] B2. Allow team members to think freely, break conventions, and share and discuss ideas and opinions through online platforms;

[0129] B3. The system automatically records and organizes scattered ideas and opinions, uses intelligent algorithms to quickly converge, and forms specific and feasible solutions or action plans;

[0130] B4. Provide visual display of brainstorming results to facilitate user understanding and evaluation.

[0131] The brainstorming analysis tool is used to analyze topics or subtopics in four steps: creative stimulation, collision of ideas, comprehensive analysis, and rapid convergence. Brainstorming can greatly stimulate the creativity and imagination of participants through free thinking and unconventional methods of team members. Different backgrounds, experiences and perspectives can generate new inspiration and insights through mutual sharing and discussion, which helps to discover neglected problems or propose more innovative solutions. Finally, scattered ideas and perspectives can be quickly converged into specific and feasible solutions or action plans.

[0132] Specifically, the online voting module includes the following steps:

[0133] C1. Provide comprehensive voting management functions, including setting voting names and contents, and quickly publishing voting activities with one click;

[0134] C2. Support anonymous voting mode to protect voter privacy and ensure the fairness of voting results.

[0135] C3. Collect voting data of participants in real time, automatically organize the collected data, and conduct real-time statistics and updates.

[0136] C4. Provide intuitive charts to display voting results to ensure that the voting process is efficient, transparent and easy to understand.

[0137] The online voting module has comprehensive voting management functions, including setting voting names and contents, quickly publishing voting activities with one click, providing anonymous voting mode to protect voter privacy, collecting voting data of participants in real time, automatically organizing the collected data, and real-time statistics and updates of voting results. The voting results are presented in an intuitive graphical form to ensure that the voting process is efficient, transparent and easy to understand.

[0138] Specifically, the center of gravity analysis module includes the following steps:

[0139] D1. Realize the quantitative management of key focus data, key capabilities, key requirements and key vulnerabilities;

[0140] D2, data management functions covering weights and important scoring factors, supporting users to input and manage relevant data;

[0141] D3, support processing of user input data, including weighting, analysis and synthesis operations;

[0142] D4. Provides interpretation and analysis functions, allowing users to input and associate analysis results, and supports editing and management of analysis results;

[0143] D5. Provides editing, management and export functions for response plans and action plans, and can ultimately present the entire process and results of the COG analysis in visual forms such as charts and reports.

[0144] The center of gravity analysis module is a comprehensive data analysis and management tool that realizes the quantitative management of key center of gravity data, key capabilities, key requirements and key vulnerabilities, and covers the data management of important factor weights and scores. It supports the processing of user input data, including weighting, analysis and synthesis, and has the function of interpretation analysis, allowing users to input and associate analysis results. In addition, it supports the editing and management of analysis results, including the editing of causes and consequences, as well as the editing, management and export functions of response plans and action plans. Finally, the module can present the whole process and results of center of gravity analysis in visual forms such as charts and reports.

[0145] Specifically, the system evaluation module includes the following steps:

[0146] E1. Supports comprehensive evaluation of programs, projects and other related factors;

[0147] E2. Ability to construct a corresponding evaluation system based on the characteristics of the research problem and select an appropriate evaluation model for analysis;

[0148] E3. Provide indicator library construction and management functions, allowing users to create and edit indicators around research questions and manage indicator information in detail;

[0149] E4. Support setting and running multiple evaluation models, and select appropriate algorithm models to meet different evaluation needs;

[0150] E5. Ability to integrate the results of various evaluation methods, give comprehensive evaluation conclusions, and intuitively display the evaluation results in visual forms such as charts.

[0151] System evaluation is a comprehensive evaluation tool that supports comprehensive evaluation of relevant factors such as programs and projects. It can build a corresponding evaluation system based on the characteristics of the research problem and select a suitable evaluation model for analysis. It also has the function of building and managing an indicator library, allowing users to create and edit indicators around the research problem and manage indicator information in detail. In addition, this module supports setting and running multiple evaluation models, and selecting suitable algorithm models to meet different evaluation needs. Ultimately, it can integrate the results of various evaluation methods, give a comprehensive evaluation conclusion, and intuitively display the evaluation results in a visual form such as charts.

[0152] Specifically, the research target decomposition module includes the following steps:

[0153] S11. Receive the research objectives input by the user, and use large model processing technology to parse and decompose the objectives.

[0154] S12. Use intelligent algorithms to refine the objectives based on multi-dimensional information such as content details, specific types, different analysis dimensions, and value considerations of the research objectives.

[0155] S13. Automatically break down the macro and broad research objectives into a series of small and feasible goals and specific tasks, ensuring that each small goal is closely centered around the overall goal.

[0156] S14. Clarify the interlinkages between small goals, such as sequence, dependency or synergy, to create a clear path for promoting the seminar activities.

[0157] The working principle of the seminar goal decomposition module is that according to the content details, specific types, different analysis dimensions, value considerations and other multi-dimensional information of the seminar goals, the system will automatically and accurately break down the macro and broad seminar goals into a series of small goals and specific tasks that can be implemented, ensuring that each small goal is closely centered around the overall goal, and clarifying the mutual links between the small goals, including but not limited to the sequence, dependency or synergy, so that the promotion path of the entire seminar activity is clear and easy for participants to understand and implement. Through goal decomposition, the seminar can focus on core issues more effectively, improve discussion efficiency and quality, and ensure that the final results are both in line with the macro vision and feasible for practical operation.

[0158] Specifically, the module for generating a summary of the core ideas of a meeting in real time includes the following steps:

[0159] S21. Use advanced speech-to-text engine technology to capture the speech content of each participant during the seminar in real time and quickly convert it into detailed text files;

[0160] S22. Input text files into the large model processing system and use natural language processing technology and deep learning algorithms to deeply refine and intelligently summarize the information;

[0161] S23. The system automatically identifies and extracts the key topics and core arguments in the meeting, as well as the consensus and differences among the participants on various topics;

[0162] S24. Based on the results of the refinement, generate a well-organized and clear summary of the core ideas of the personal meeting to provide a basis for the efficient conduct and judgment of the discussion process.

[0163] The working principle of the real-time generation of conference core viewpoint summary module is to use speech-to-text engine technology to capture the speech content of each participant during the seminar in real time and accurately, and quickly convert it into detailed text files. Then, these text files will be input into the large model processing system. The system uses natural language processing technology and deep learning algorithms to deeply refine and intelligently summarize the information. The system automatically identifies and refines the key topics and core arguments in the meeting, as well as the consensus and differences of the participants on various topics, and finally generates a well-organized and clear summary of the core viewpoints of the personal meeting, which provides a basis for the efficient conduct and judgment of the discussion process.

[0164] Specifically, the expert opinion comprehensive result visualization module includes the following steps:

[0165] S41, integrated questionnaire design, editing and group sending functions, capable of distributing survey questions to designated expert groups and collecting expert opinions to form a viewpoint library;

[0166] S42. Provide the ability to integrate opinion data, including removing duplicate and irrelevant content, sorting and other processing operations;

[0167] S43. Use intelligent algorithms to deeply analyze and integrate expert opinions to form effective summary results;

[0168] S44 ultimately presents the overview, analysis, integration results and recommendations of expert opinions through a visual report, providing a comprehensive and objective reference for decision makers.

[0169] The working principle of the expert opinion comprehensive result visualization module is that the expert opinion comprehensive module integrates the design, editing and group sending functions of the questionnaire, can distribute survey questions to designated expert groups and collect expert opinions to form an opinion library. The module also has the ability to integrate opinion data, including removing duplicate and irrelevant content, sorting and other processing, so as to effectively summarize the opinions of multiple experts, and finally display the overview, analysis, integration results and suggestions of expert opinions through a visual report.

[0170] The above is based on the present invention as an inspiration. Through the above description, relevant staff can make various changes and modifications without departing from the technical idea of ​​this invention. The technical scope of this invention is not limited to the content in the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A comprehensive integrated discussion decision support system, characterized by: The following steps are involved: S1, research target decomposition module; S2, module for generating summary of core ideas of the meeting in real time; S3, integrated discussion tool analysis module; S4, visualization module of comprehensive results of expert opinions; Among them, the S3 module includes SWOT analysis module, brainstorming module, online voting module, center of gravity analysis module and system evaluation module.

2. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The SWOT analysis module includes the following steps: A1. Provide a SWOT analysis framework, allowing users to input relevant information on topics or subtopics; A2. The system automatically analyzes the inherent advantages, inherent disadvantages, external opportunities and potential threats of the topic or sub-topic; A3. Use big model technology to deeply explore and evaluate strengths, weaknesses, opportunities and threats, and provide comprehensive analysis results; A4. Support users to formulate strategies and plan action plans based on analysis results.

3. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The brainstorming module includes the following steps: B1 provides brainstorming analysis tools, which are divided into four steps: creative stimulation, thinking collision, comprehensive analysis, and rapid convergence; B2 allows team members to think freely, break conventions, and share and discuss ideas and opinions through online platforms; B3. The system automatically records and organizes scattered ideas and opinions, uses intelligent algorithms to quickly converge, and forms specific and feasible solutions or action plans; B4. Provide visual display of brainstorming results to facilitate user understanding and evaluation.

4. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The online voting module includes the following steps: C1. Provide comprehensive voting management functions, including setting voting names and contents, and quickly publishing voting activities with one click; C2. Support anonymous voting mode to protect voter privacy and ensure the fairness of voting results. C3. Collect voting data of participants in real time, automatically organize the collected data, and conduct real-time statistics and updates. C4. Provide intuitive charts to display voting results to ensure that the voting process is efficient, transparent and easy to understand.

5. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The center of gravity analysis module includes the following steps: D1. Realize the quantitative management of key focus data, key capabilities, key requirements and key vulnerabilities; D2, data management functions covering weights and important scoring factors, supporting users to input and manage relevant data; D3, support processing of user input data, including weighting, analysis and synthesis operations; D4. Provides interpretation and analysis functions, allowing users to input and associate analysis results, and supports editing and management of analysis results; D5. Provides editing, management and export functions for response plans and action plans, and can ultimately present the entire process and results of the COG analysis in visual forms such as charts and reports.

6. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The system evaluation module comprises the following steps: E1. Supports comprehensive evaluation of programs, projects and other related factors; E2. Ability to construct a corresponding evaluation system based on the characteristics of the research problem and select an appropriate evaluation model for analysis; E3. Provide indicator library construction and management functions, allowing users to create and edit indicators around research questions and manage indicator information in detail; E4. Support setting and running multiple evaluation models, and select appropriate algorithm models to meet different evaluation needs; E5. Ability to integrate the results of various evaluation methods, give comprehensive evaluation conclusions, and intuitively display the evaluation results in visual forms such as charts.

7. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The research target decomposition module includes the following steps: S11. Receive the research objectives input by the user, and use large model processing technology to parse and decompose the objectives. S12. Use intelligent algorithms to refine the objectives based on multi-dimensional information such as content details, specific types, different analysis dimensions, and value considerations of the research objectives. S13. Automatically break down the macro and broad research objectives into a series of small and feasible goals and specific tasks, ensuring that each small goal is closely centered around the overall goal. S14. Clarify the interlinkages between small goals, such as sequence, dependency or synergy, to create a clear path for promoting the seminar activities.

8. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The real-time generation of the conference core viewpoint summary module includes the following steps: S21. Use advanced speech-to-text engine technology to capture the speech content of each participant during the seminar in real time and quickly convert it into detailed text files; S22. Input text files into the large model processing system and use natural language processing technology and deep learning algorithms to deeply refine and intelligently summarize the information; S23. The system automatically identifies and extracts the key topics and core arguments in the meeting, as well as the consensus and differences among the participants on various topics; S24. Based on the results of the refinement, generate a well-organized and clear summary of the core ideas of the personal meeting to provide a basis for the efficient conduct and judgment of the discussion process.

9. The comprehensive integrated discussion decision support system according to claim 1 is characterized by: The expert opinion comprehensive result visualization module includes the following steps: S41, integrated questionnaire design, editing and group sending functions, capable of distributing survey questions to designated expert groups and collecting expert opinions to form a viewpoint library; S42. Provide the ability to integrate opinion data, including removing duplicate and irrelevant content, sorting and other processing operations; S43. Use intelligent algorithms to deeply analyze and integrate expert opinions to form effective summary results; S44 ultimately presents the overview, analysis, integration results and recommendations of expert opinions through a visual report, providing a comprehensive and objective reference for decision makers.

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