Decision chain intelligent redisk system based on environment situation map

Abstract

The invention relates to the technical field of data analysis, in particular to an intelligent decision chain redisk system based on an environment situation map, which comprises environment scanning, basic evaluation and analysis, dynamic process and market environment analysis, strategy making and verification and continuous monitoring and adjustment. Compared with the prior art that only the data is simply processed, the data value is difficult to deeply mine and the deviation attribution method of the system is lacked, the scheme adopts data cleaning and standardization processing in the data preprocessing stage, the data quality is effectively improved, key indexes of the enterprise ROE are disassembled through the Dupont model, and the data quality is improved. An operation short board is accurately positioned; meanwhile, a 5Why analysis method is used for deeply tracing the reason for the target not achieved, systematization of deviation attribution is achieved, the accuracy and depth of data analysis are improved, the scientificity and pertinence of decision making are enhanced, and more comprehensive and effective data support is provided for enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and particularly to an intelligent decision-making chain review system based on an environmental situation map. Background Art

[0002] Currently, enterprises face an urgent need for data analysis and decision-making in the face of complex and ever-changing market environments. Traditional data analysis methods are often limited to simple data processing and presentation, making it difficult to deeply explore the underlying value of data. At the same time, there is a lack of systematic deviation attribution methods, resulting in insufficient basis for enterprises to make decisions and difficulty in accurately grasping market dynamics and operating conditions.

[0003] With the continuous development of big data technology and the continuous improvement of enterprises' understanding of data value, how to effectively utilize and analyze data to support enterprises' strategic decisions and operation management has become an important issue for enterprises. Especially in the context of increasingly fierce market competition and rapid changes in the market environment, enterprises need an analysis method that can deeply explore data value, accurately locate operating weaknesses, and systematize deviation attribution.

[0004] However, existing data analysis technologies often have problems such as insufficient data processing capabilities, inaccurate decomposition of key indicators, and unsystematic deviation attribution, making it difficult to meet the actual needs of enterprises. Summary of the Invention

[0005] To overcome the problems raised in the above background art, the present invention proposes an intelligent decision-making chain review system based on an environmental situation map.

[0006] The technical solution of the present invention is as follows: An intelligent decision-making chain review system based on an environmental situation map, comprising:

[0007] S11: Environmental scanning, conducting situation analysis, and understanding the overall environment by systematically collecting and analyzing external and internal information related to the project;

[0008] S12: Basic evaluation and analysis, preprocessing the collected data, processing the data using analysis tools, and then evaluating and analyzing according to the processing results;

[0009] S13: Analysis of dynamic processes and market environments, real-time monitoring of market change factors;

[0010] S14: Formulating strategies and verification, formulating multi-scenario strategies according to the environmental analysis results, comparing the actual market trend with the expectation, analyzing the root cause of deviation, and performing real-time optimization;

[0011] S15: Continuous monitoring and adjustment, regularly updating the environmental scanning results, and establishing an early warning mechanism.

[0012] Preferably, when conducting a situation analysis to understand the overall environment by systematically collecting and analyzing external and internal information related to the project, it specifically includes:

[0013] S21: Collection of internal and external environmental data. Among them, external environmental data includes macroeconomic data, industry trends, changes in market share, and market sentiment indicators, and internal environmental data includes enterprise resource data and process efficiency;

[0014] S22: Information classification and priority ranking. Using the SWOT matrix, factors are divided into strengths S, weaknesses W, opportunities O, and threats T, and the priority is quantified through the weighted scoring method. The principle formula of the weighted scoring method is:

[0015] Score 总 = ∑(ω * Score 分项 );

[0016] Among them, Score 总 is the total score, ω is the weight coefficient, and Score 分项 is the individual score for each item.

[0017] Preferably, when preprocessing the collected data, using analysis tools to process the data, and then evaluating and analyzing according to the processing results, it specifically includes:

[0018] S31: Data cleaning and standardization. Clean the collected data, remove outliers in the data and handle missing data, and then standardize the financial indicator data;

[0019] S32: Decomposition of key indicators. Use the DuPont model to decompose the ROE data of the enterprise and locate the operation short - boards of the enterprise;

[0020] S33: Deviation attribution analysis. Trace the reasons for the failure to achieve the goal through the 5Why analysis method.

[0021] Preferably, when using the DuPont model to decompose the ROE data of the enterprise, the principle formula is:

[0022] ROE = net profit margin on sales × total asset turnover × equity multiplier.

[0023] Preferably, when conducting dynamic process and market environment analysis, it specifically includes:

[0024] S41: Market energy monitoring. Track the volume - price relationship and hot - spot rotation. Among them, the volume - price relationship is obtained by observing the matching of trading volume and price trends and calculating the order - blocking strength, and the hot - spot rotation is obtained by analyzing the fund flow and analyzing the daily limit board;

[0025] S42: Technical analysis to identify K-line patterns and MACD indicators. Among them, the calculation formula of the MACD indicator is:

[0026] MACD = EMA of 12 days - EMA of 26 days;

[0027] Among them, EMA is the exponential moving average;

[0028] S43: Fundamental analysis to judge the industry prosperity by combining PMI;

[0029] S44: Variable identification and response. Through public opinion monitoring tools, warn of policy changes, establish an event-impact mapping table, and set pre-plan trigger conditions.

[0030] Preferably, when judging the industry prosperity by combining PMI, it specifically includes:

[0031] Judge the industry stage through PMI and inventory cycle, and then construct a strategy pool by combining financial indicators and market attributes.

[0032] Preferably, when formulating multi-scenario strategies according to the environmental analysis results, comparing the actual market trend with the expectation, analyzing the root cause of the deviation, and performing real-time optimization, it specifically includes:

[0033] S51: Multi-scenario strategy design. Divide into optimistic, neutral, and pessimistic scenarios, and set the trigger conditions for each scenario;

[0034] S52: Historical backtesting. Calculate the strategy winning rate through the following formula:

[0035]

[0036] And conduct risk-return assessment;

[0037] S53: Parameter optimization. Conduct parameter sensitivity analysis through variable adjustment and cross-validation, and then optimize the parameters through the PDCA cycle.

[0038] Preferably, when conducting risk-return assessment, the principle formula is:

[0039]

[0040] Preferably, when conducting continuous monitoring and adjustment, it specifically includes:

[0041] S61: Real-time monitoring. Set warning indicators, and push emergencies and key data through the API;

[0042] S62: Cross - cycle review, including quarterly review and annual strategic adjustment. Conduct quarterly review by analyzing the change of industry penetration rate, and conduct annual strategic adjustment by optimizing long - term asset allocation in combination with the Kondratieff wave cycle theory.

[0043] Preferably, after analyzing the dynamic process and market environment, it also includes stakeholder analysis, specifically:

[0044] S71: Determine the scope of stakeholders, list all relevant parties, including shareholders, customers, suppliers and regulatory agencies;

[0045] S72: Collect stakeholder information, collect the information of stakeholders, including their needs, expectations, concerns and interest demands;

[0046] S73: Establish an influence - interest matrix, correlate the influence of stakeholders with their interest demands, and establish an influence - interest matrix.

[0047] Advantages of the present invention:

[0048] 1. Compared with the prior art which only simply processes data, making it difficult to deeply explore the data value and lacking a systematic deviation attribution method, this solution adopts data cleaning and standardization processing in the data pre - processing stage, effectively improving the data quality. And it disassembles the key indicators of the enterprise's ROE through the DuPont model to accurately locate the operation short - board. At the same time, it uses the 5Why analysis method to deeply trace the reasons for the failure to achieve the goal, realizing the systematization of deviation attribution. This solution not only improves the accuracy and depth of data analysis, but also enhances the scientificity and pertinence of decision - making, providing more comprehensive and effective data support for the enterprise;

[0049] 2. Compared with the prior art which mainly relies on single - dimensional market analysis and lacks a comprehensive monitoring and rapid response mechanism for the market dynamic process, when analyzing the dynamic process and market environment, this solution adopts market energy monitoring to real - time track the volume - price relationship and hot - spot rotation, combines technical analysis to identify K - line patterns and MACD indicators, and fundamental analysis to judge the industry prosperity. At the same time, it identifies variables and sets pre - plans through public opinion monitoring. This solution not only improves the depth and breadth of market analysis, but also realizes the real - time monitoring and rapid response to market dynamics, effectively avoiding decision - making mistakes caused by information lag or one - sided analysis, providing more accurate and comprehensive market insights and coping strategies for the enterprise;

[0050] 3. Compared with the prior art, when formulating strategies, there is often a lack of sufficient scenario consideration and real-time optimization mechanisms, resulting in poor strategy adaptability. According to the results of environmental analysis, this solution designs multi-scenario strategies and introduces historical backtesting to calculate the winning rate of the strategies and evaluate risk-return. At the same time, through variable adjustment, cross-validation, and PDCA cycle of parameter optimization, real-time optimization of the strategies is achieved. This solution not only significantly improves the flexibility and adaptability of the strategies, but also can accurately evaluate the effectiveness and risks of the strategies, providing more robust and efficient decision-making support for enterprises and effectively enhancing decision-making quality and market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 The flowchart of the intelligent review system of the decision-making chain based on the environmental situation map of the present invention is shown;

[0052] Figure 2 The flowchart of the basic evaluation and analysis in the intelligent review system of the decision-making chain based on the environmental situation map of the present invention is shown. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The present invention will be further described below with reference to the drawings and embodiments.

[0054] Please refer to Figure 1-2 , the present invention provides an embodiment: an intelligent review system of a decision-making chain based on an environmental situation map, including:

[0055] S11: Environmental scanning, performing situation analysis, and understanding the overall environment by systematically collecting and analyzing external and internal information related to the project;

[0056] S12: Basic evaluation and analysis, preprocessing the collected data, processing the data using analysis tools, and then evaluating and analyzing according to the processing results;

[0057] S13: Dynamic process and market environment analysis, monitoring the changing factors of the market in real time;

[0058] S14: Formulating strategies and verification, formulating multi-scenario strategies according to the results of environmental analysis, comparing the actual market trend with the expectation, analyzing the root cause of the deviation, and performing real-time optimization;

[0059] S15: Continuous monitoring and adjustment, regularly updating the results of environmental scanning, and establishing an early warning mechanism.

[0060] As described above, the present invention systematically collects and analyzes internal and external information related to the project (S11), preprocesses the data and conducts in-depth evaluation (S12), monitors market dynamics in real time (S13), formulates and validates multi-scenario strategies accordingly (S14), and continuously monitors and adjusts timely (S15). The beneficial effects are that it can comprehensively understand environmental changes, accurately predict market trends, effectively formulate and optimize strategies, and establish an early warning mechanism to ensure flexible response, thereby significantly improving the scientific nature of decision-making and the success rate of the project.

[0061] Preferably, when conducting a situation analysis and understanding the overall environment by systematically collecting and analyzing external and internal information related to the project, it specifically includes:

[0062] S21: Collection of internal and external environmental data. Among them, external environmental data includes macroeconomic data, industry trends, market share changes, and market sentiment indicators, and internal environmental data includes enterprise resource data and process efficiency;

[0063] S22: Information classification and priority ranking. Using the SWOT matrix, factors are divided into strengths S, weaknesses W, opportunities O, and threats T, and the priority is quantified through the weighted scoring method. The principle formula of the weighted scoring method is:

[0064] Score 总 = ∑(ω * Score 分项 );

[0065] Among them, Score 总 is the total score, ω is the weight coefficient, and Score 分项 is the individual score for each item.

[0066] As described above, the present invention systematically collects external environmental data such as macroeconomic data, industry trends, market share changes, and market sentiment indicators, as well as internal environmental data such as enterprise resource data and process efficiency (S21), and uses the SWOT matrix classification and weighted scoring method to quantify the priority (S22). This technical solution can comprehensively and accurately evaluate the internal and external environment of the project, provide clear analysis of strengths, weaknesses, opportunities, and threats for decision-makers, and clear action guidelines based on the quantified priority, thereby greatly improving the scientific nature and pertinence of decision-making and helping enterprises better grasp market opportunities and avoid potential risks.

[0067] Preferably, when preprocessing the collected data, using analysis tools to process the data, and then evaluating and analyzing according to the processing results, it specifically includes:

[0068] S31: Data cleaning and standardization. Clean the collected data to remove outliers and handle missing data, and then standardize the financial indicator data.

[0069] S32: Decompose key indicators. Use the DuPont model to decompose the ROE data of the enterprise and locate the operation short - boards of the enterprise.

[0070] S33: Deviation attribution analysis. Trace the reasons for the failure to achieve the goal through the 5Why analysis method.

[0071] As described above, the existing technology of the present invention only simply processes data, making it difficult to deeply explore the data value and lacking a systematic deviation attribution method. This solution adopts data cleaning and standardization processing in the data pre - processing stage, effectively improving the data quality. It decomposes the key indicators of the enterprise's ROE through the DuPont model to accurately locate the operation short - boards. At the same time, it uses the 5Why analysis method to deeply trace the reasons for the failure to achieve the goal, realizing the systematization of deviation attribution. This solution not only improves the accuracy and depth of data analysis but also enhances the scientificity and pertinence of decision - making, providing more comprehensive and effective data support for the enterprise.

[0072] Preferably, when using the DuPont model to decompose the ROE data of the enterprise, the principle formula is:

[0073] ROE = net profit margin × total asset turnover × equity multiplier.

[0074] As described above, when the present invention uses the DuPont model to decompose the ROE (return on equity) data of the enterprise, through its principle formula (i.e., ROE = net profit rate × total asset turnover × equity multiplier), the enterprise's financial performance is systematically decomposed into three major aspects: profitability, asset utilization efficiency, and financial leverage. The beneficial effect of this technical solution is that it can deeply insight into the core driving factors of enterprise operation, accurately locate the advantages and disadvantages of the enterprise in terms of profitability, operation efficiency, and capital structure management, provide a scientific basis for formulating targeted improvement strategies, and thus effectively improve the overall financial performance and competitiveness of the enterprise.

[0075] Preferably, when conducting dynamic process and market environment analysis, it specifically includes:

[0076] S41: Market energy monitoring. Track the volume - price relationship and hot - spot rotation. Among them, the volume - price relationship is obtained by observing the matching of trading volume and price trend and calculating the order - blocking strength, and the hot - spot rotation is obtained by analyzing the fund flow and the analysis of limit up boards.

[0077] S42: Technical analysis. Identify the K - line pattern and MACD indicator. Among them, the calculation formula of the MACD indicator is:

[0078] MACD = 12-day EMA - 26-day EMA;

[0079] where EMA is the Exponential Moving Average;

[0080] S43: Fundamental analysis, combined with PMI to judge the industry prosperity;

[0081] S44: Variable identification and response, through public opinion monitoring tools to warn of policy changes, establish an event-impact mapping table, and set the pre-plan trigger conditions at the same time.

[0082] As described above, compared with the prior art which mainly relies on single-dimensional market analysis and lacks a comprehensive monitoring and rapid response mechanism for the dynamic process of the market, in this solution, when analyzing the dynamic process and market environment, market energy monitoring is adopted to track the volume-price relationship and hot rotation in real time, combined with technical analysis to identify K-line patterns and MACD indicators, and fundamental analysis to judge the industry prosperity. At the same time, variables are identified through public opinion monitoring and pre-plans are set. This solution not only improves the depth and breadth of market analysis, but also realizes the real-time monitoring and rapid response to market dynamics, effectively avoiding decision-making mistakes caused by information lag or one-sided analysis, and providing more accurate and comprehensive market insights and coping strategies for enterprises.

[0083] Preferably, when judging the industry prosperity by combining PMI, it specifically includes:

[0084] Judge the industry stage through PMI and inventory cycle, and then construct a strategy pool by combining financial indicators and market attributes.

[0085] As described above, when the present invention judges the industry prosperity by combining PMI (Purchasing Managers' Index), by comprehensively analyzing PMI data, inventory cycle and constructing a strategy pool by combining financial indicators and market attributes, this technical solution can more accurately grasp the life cycle stage of the industry, effectively identify the development trend and potential opportunities of the industry, provide strong data support for enterprises to formulate more market-actual business strategies and investment decisions, and significantly improve the effectiveness and pertinence of the strategies.

[0086] Preferably, when formulating multi-scenario strategies according to the environmental analysis results, comparing the actual market trend with the expectation, analyzing the root cause of the deviation, and performing real-time optimization, it specifically includes:

[0087] S51: Multi-scenario strategy design, divide into optimistic, neutral and pessimistic scenarios, and set the trigger conditions for each scenario;

[0088] S52: Historical backtesting, calculate the strategy winning rate through the following formula:

[0089]

[0090] And conduct risk-return assessment;

[0091] S53: Parameter optimization. Conduct parameter sensitivity analysis through variable adjustment and cross-validation, and then optimize the parameters through the PDCA cycle.

[0092] As described above, compared with the prior art, the present invention often lacks sufficient scenario consideration and real-time optimization mechanism when formulating strategies, resulting in poor strategy adaptability. According to the environmental analysis results, this solution designs multi-scenario strategies, introduces historical backtesting to calculate the strategy winning rate and evaluate risk-return, and at the same time, through variable adjustment, cross-validation and PDCA cycle of parameter optimization, realizes the real-time optimization of the strategy. This solution not only significantly improves the flexibility and adaptability of the strategy, but also can accurately evaluate the effectiveness and risk of the strategy, provides more robust and efficient decision-making support for enterprises, and effectively improves the decision-making quality and market competitiveness.

[0093] Preferably, when conducting risk-return assessment, the principle formula is:

[0094]

[0095] As described above, by applying professional principle formulas, this technical solution can comprehensively and objectively quantify the risk and return levels of the strategy, providing a more accurate and scientific evaluation basis for enterprises. This approach not only helps enterprises better understand the actual performance of the strategy, but also guides enterprises to make more reasonable investment decisions according to their risk tolerance, thereby effectively balancing risk and return and enhancing the overall investment return rate and risk management ability.

[0096] Preferably, when conducting continuous monitoring and adjustment, it specifically includes:

[0097] S61: Real-time monitoring. Set warning indicators and push emergency events and key data through the API;

[0098] S62: Cross-cycle review, including quarterly review and annual strategic adjustment. Conduct quarterly review by analyzing the change of industry penetration rate, and conduct annual strategic adjustment by optimizing long-term asset allocation in combination with the Kondratieff cycle theory.

[0099] As described above, the present invention ensures that enterprises can quickly respond to market changes by setting warning indicators and pushing emergencies and key data in real time through APIs. At the same time, through a cross-cycle review mechanism, including quarterly reviews based on changes in industry penetration rates and annual strategic adjustments combined with the Kondratiev cycle theory, in-depth insights into market trends and optimized long-term strategic layouts have been achieved. This approach not only enhances the market sensitivity and adaptability of enterprises but also provides enterprises with more robust and forward-looking development strategies, effectively improving the competitiveness and sustainable development capabilities of enterprises.

[0100] Preferably, after analyzing the dynamic process and market environment, it also includes a stakeholder analysis, specifically:

[0101] S71: Determine the scope of stakeholders, list all relevant parties, including shareholders, customers, suppliers, and regulatory agencies;

[0102] S72: Collect stakeholder information, collect information on stakeholders, including their needs, expectations, concerns, and interest demands;

[0103] S73: Establish an influence-interest matrix, correlate the influence of stakeholders with their interest demands, and establish an influence-interest matrix.

[0104] As described above, the present invention clarifies the scope of stakeholders, systematically collects their needs, expectations, concerns, and interest demands, and constructs an influence-interest matrix to visually display the influence and interest associations of each stakeholder. This approach not only helps enterprises comprehensively understand the positions and needs of each stakeholder but also enables enterprises to identify key stakeholders, optimize resource allocation, and formulate more balanced and effective strategies, thereby enhancing the social responsibility and sustainable development capabilities of enterprises and promoting harmonious win-win cooperation between enterprises and various stakeholders.

[0105] The embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings. However, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the scope of knowledge possessed by those skilled in the art.

Claims

1. A decision chain intelligent review system based on an environmental situation map; characterized in that: It includes: S11: Environmental scanning for situation analysis. By systematically collecting and analyzing external and internal information related to the project, understand the overall environment. S12: Basic evaluation and analysis. Preprocess the collected data, process the data using analysis tools, and then conduct evaluation and analysis based on the processing results. S13: Dynamic process and market environment analysis. Real-time monitor the changing factors in the market. S14: Strategy formulation and verification. According to the environmental analysis results, formulate multi-scenario strategies, compare the actual market trend with the expectation, analyze the root causes of deviations, and conduct real-time optimization. S15: Continuous monitoring and adjustment. Regularly update the environmental scanning results and establish an early warning mechanism.

2. The intelligent retrospective analysis system of the decision-making chain based on the environmental situation map according to claim 1, characterized in that: When conducting situation analysis and understanding the overall environment by systematically collecting and analyzing external and internal information related to the project, it specifically includes: S21: Collection of internal and external environmental data. Among them, external environmental data includes macroeconomic data, industry trends, market share changes, and market sentiment indicators, and internal environmental data includes enterprise resource data and process efficiency. S22: Information classification and priority ranking. Use the SWOT matrix to classify factors into strengths S, weaknesses W, opportunities O, and threats T, and quantify the priorities through the weighted scoring method. The principle formula of the weighted scoring method is: Score 总 = ∑(ω * Score 分项 ); Among them, Score 总 is the total score, ω is the weight coefficient, and Score 分项 is the individual score for each item.

3. The intelligent review system for decision-making chain based on environmental situation atlas according to claim 2, characterized in that: When preprocessing the collected data, processing the data using analysis tools, and then conducting evaluation and analysis based on the processing results, it specifically includes: S31: Data cleaning and standardization. Clean the collected data, remove outliers and handle missing data, and then standardize the financial indicator data. S32: Decomposition of key indicators. Use the DuPont model to decompose the enterprise's ROE data and locate the operation short board of the enterprise. S33: Deviation attribution analysis. Trace the reasons for the failure to achieve the target through the 5Why analysis method.

4. The intelligent review system of the decision-making chain based on the environmental situation map according to claim 3, characterized in that: When using the DuPont model to decompose the enterprise's ROE data, the principle formula is: ROE = net profit margin on sales × total asset turnover × equity multiplier.

5. The intelligent retrospective analysis system of a decision-making chain based on an environmental situation map according to claim 4, characterized in that: When conducting dynamic process and market environment analysis, it specifically includes: S41: Market energy monitoring. Track the volume-price relationship and hot spot rotation. Among them, the volume-price relationship is obtained by observing the matching of trading volume and price trend and calculating the order sealing strength, and the hot spot rotation is obtained by analyzing the fund flow and the analysis of daily limit boards. S42: Technical analysis. Identify K-line patterns and MACD indicators. The calculation formula of the MACD indicator is: MACD = 12-day EMA - 26-day EMA; Among them, EMA is the exponential moving average; S43: Fundamental analysis. Combine PMI to judge the industry prosperity. S44: Variable identification and response. Use public opinion monitoring tools to warn of policy changes, establish an event-impact mapping table, and set the pre-trigger conditions for the plan at the same time.

6. The intelligent review system for decision-making chain based on environmental situation map according to claim 5, characterized in that: When combining PMI to judge the industry prosperity, it specifically includes: Judge the industry stage through PMI and inventory cycle, and then construct a strategy pool by combining financial indicators and market attributes.

7. The intelligent retrospective analysis system of a decision-making chain based on an environmental situation map according to claim 6, characterized in that: When formulating multi-scenario strategies according to the environmental analysis results, comparing the actual market trend with the expectation, analyzing the root causes of deviations, and conducting real-time optimization, it specifically includes: S51: Design multi-scenario strategies, divide into optimistic, neutral, and pessimistic scenarios, and set the triggering conditions for each scenario; S52: Historical backtesting, calculate the strategy winning rate through the following formula: And conduct risk-return assessment; S53: Parameter optimization, conduct parameter sensitivity analysis through variable adjustment and cross-validation, and then optimize the parameters through the PDCA cycle.

8. The intelligent review system for decision-making chain based on environmental situation atlas according to claim 7, characterized in that: When conducting risk-return assessment, the principle formula is:

9. The intelligent review system of the decision-making chain based on the environmental situation map according to claim 8, characterized in that: When conducting continuous monitoring and adjustment, it specifically includes: S61: Real-time monitoring, set warning indicators, and push emergency events and key data through the API; S62: Cross-cycle review, including quarterly review and annual strategic adjustment. Conduct quarterly review by analyzing the change of industry penetration rate, and conduct annual strategic adjustment by optimizing long-term asset allocation in combination with the Kondratieff cycle theory.

10. The decision chain intelligent review system based on the environmental situation map according to claim 9, characterized in that: After conducting dynamic process and market environment analysis, it also includes stakeholder analysis, specifically: S71: Determine the scope of stakeholders, list all relevant parties, including shareholders, customers, suppliers, and regulatory agencies; S72: Collect stakeholder information, collect the information of stakeholders, including the needs, expectations, concerns, and interest demands of stakeholders; S73: Establish an influence-interest matrix, correlate the influence of stakeholders with their interest demands, and establish an influence-interest matrix.

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