Method and system for financial measurement and calculation in engineering consultation feasibility research report

Abstract

The invention discloses a method and system for financial measurement and calculation in an engineering consultation feasibility research report, and the system comprises the following steps: constructing a corresponding financial measurement and calculation model according to the characteristics of an engineering project, carrying out the financial data processing of an input project proposed construction scale parameter in real time through the financial measurement and calculation model, and outputting the financial data; the financial measurement and calculation model comprises an investment estimation module, a cost prediction module, an income prediction module, a data acquisition and processing module, an artificial intelligence optimization module and a real-time dynamic adjustment module; the data acquisition and processing module is used for providing data support for the financial measurement and calculation model; the artificial intelligence optimization module is used for optimizing the financial measurement and calculation model by using an artificial intelligence algorithm; and the real-time dynamic adjustment module is used for adjusting parameters of the financial measurement and calculation model in real time according to market dynamic and policy change related factors. The method has the advantages that through big data analysis and artificial intelligence optimization, financial data can be predicted more accurately, and the deviation of measurement and calculation results is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of financial calculation, and in particular to a method and system for financial calculation in an engineering consulting feasibility study report. Background Art

[0002] At present, when engineering consulting companies prepare feasibility study reports, the financial calculation part often adopts traditional calculation methods, which lacks accuracy and innovation. At the same time, the existing technology fails to fully consider the impact of market dynamics, policy changes and other factors on financial calculations, resulting in deviations between the calculation results and the actual situation. Therefore, this application aims to solve the problems existing in the existing technology and provide a more accurate and innovative method and system for financial calculation in the feasibility study report of engineering consulting companies. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method and system for financial calculation in a feasibility study report of an engineering consultation.

[0004] In order to solve the above technical problems, the technical solution of the present invention is:

[0005] A system for financial calculation in an engineering consulting feasibility study report, the system comprising an investment estimation module, a cost prediction module, a revenue prediction module, a data collection and processing module, an artificial intelligence optimization module and a real-time dynamic adjustment module;

[0006] The investment estimation module is used to calculate the initial investment required for the project in detail;

[0007] The cost forecasting module is used to forecast the variable costs and fixed costs during the project operation process;

[0008] The revenue forecasting module: based on market analysis, forecasts the possible revenue of the project;

[0009] The data collection and processing module: provides data support for the financial calculation model; uses the big data platform to regularly collect data related to the project, and cleans, organizes and analyzes it;

[0010] The artificial intelligence optimization module: uses artificial intelligence algorithms to optimize the financial calculation model to improve the accuracy and reliability of the calculation results;

[0011] The real-time dynamic adjustment module adjusts the parameters of the financial calculation model in real time according to market dynamics and policy change-related factors to ensure the timeliness of the calculation results.

[0012] Preferably, the data acquisition and processing module includes a data acquisition module, a data cleaning module, a data analysis module and a data integration module;

[0013] The data collection module is used to collect information related to the project;

[0014] The data cleaning module is used to clean the collected data and remove invalid, erroneous or incomplete data;

[0015] The data analysis module: uses statistical methods and data mining techniques to analyze data trends and identify key influencing factors;

[0016] The data integration module integrates data from different sources and types to form a unified data view, providing comprehensive data support for financial calculation models.

[0017] Preferably, the artificial intelligence optimization module includes a model training module, a parameter tuning module and a result verification module;

[0018] The model training module: uses historical data to train the financial calculation model to improve the model's predictive ability;

[0019] The parameter tuning module: uses artificial intelligence algorithms to automatically adjust model parameters to adapt to different market and policy environments;

[0020] The result verification module verifies the prediction accuracy and reliability of the model by comparing with actual data.

[0021] Preferably, the real-time dynamic adjustment module includes a market monitoring module, a policy tracking module, a parameter updating module and a scenario analysis module;

[0022] The market monitoring module is used to continuously monitor market dynamics and update financial calculation models in a timely manner;

[0023] The policy tracking module is used to monitor relevant policy changes and assess their impact on project finances;

[0024] The parameter updating module: adjusts the financial calculation parameters in real time according to the latest market and policy information to ensure the timeliness and accuracy of the calculation results;

[0025] The scenario analysis module constructs different market and policy scenarios, conducts scenario analysis, and evaluates the financial performance of the project under different circumstances.

[0026] A method for financial calculation in an engineering consulting feasibility study report is based on the system as described above. The method is as follows: according to the characteristics of the engineering project, a corresponding financial calculation system is constructed, and the financial data of the input project proposed scale parameters is processed and output in real time through the financial calculation system to provide support for decision-making.

[0027] The above technical solution has the following advantages:

[0028] (1) Improved accuracy of financial calculations: By combining big data analysis and artificial intelligence optimization, the present invention can more accurately predict the investment, cost and benefits of engineering projects, reducing the deviation of calculation results.

[0029] (2) Enhanced the innovative ability of financial calculation: This invention breaks through the limitations of traditional financial calculation methods and innovatively introduces technical means such as big data and artificial intelligence, providing engineering consulting companies with more advanced financial calculation methods.

[0030] (3) Improved timeliness of financial calculations: The present invention can adjust financial calculation parameters in real time, promptly reflect the impact of market dynamics and policy changes on financial calculations, and improve the timeliness of calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A diagram of the system used for financial calculations; DETAILED DESCRIPTION

[0032] The specific embodiments of the present invention are further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0033] A system for financial calculation in engineering consulting feasibility study reports, including an investment estimation module, a cost forecasting module, a revenue forecasting module, a data collection and processing module, an artificial intelligence optimization module, and a real-time dynamic adjustment module;

[0034] The investment estimation module is used to calculate the initial investment required for the project in detail, including the cost of land, equipment, materials, labor, etc.

[0035] The cost forecasting module is used to forecast variable costs and fixed costs during project operation, such as raw materials, energy, maintenance, and management costs;

[0036] The revenue forecasting module predicts the possible revenue of the project based on market analysis, including product sales, service provision, etc.

[0037] The data collection and processing module: provides data support for the financial calculation model; uses the big data platform to regularly collect multi-dimensional data on the market, policy, and technology related to the project, and cleans, organizes, and analyzes them;

[0038] We use advanced big data technology platforms to integrate multi-source data, including but not limited to macroeconomic data, industry reports, policies and regulations, market trends, competitor analysis, technological innovation progress, etc. Through automated data cleaning, standardized processing and advanced analysis technology (such as machine learning algorithms), we conduct in-depth mining of massive data to ensure the accuracy and timeliness of data, and provide solid data support for financial calculations.

[0039] The artificial intelligence optimization module: uses artificial intelligence algorithms to optimize financial calculation models to improve the accuracy and reliability of calculation results;

[0040] Introduce artificial intelligence algorithms, such as neural networks, time series prediction, and random forests, to intelligently optimize financial calculation models. By learning historical data patterns, we can predict future market changes and cost fluctuation trends, and improve the accuracy and foresight of financial forecasts. At the same time, we use AI technology to automatically tune model parameters, reduce human bias, and enhance the robustness and reliability of the model.

[0041] The real-time dynamic adjustment module adjusts the parameters of the financial calculation model in real time according to market dynamics and policy change-related factors to ensure the timeliness of the calculation results.

[0042] By establishing a real-time monitoring system, we closely track changes in the external environment such as market dynamics, policy changes, technological innovations, and the actual situation during project implementation. Through cloud computing and Internet of Things technologies, we can achieve real-time data transmission and processing, and timely adjust the basic assumptions and parameters in financial calculations, such as adjusting cost budgets, re-evaluating market demand, and revising revenue expectations, to ensure the timeliness and adaptability of financial forecasts, and provide decision-makers with financial analysis reports that are closest to the current actual situation.

[0043] As a specific technical solution in this implementation, the data acquisition and processing module includes a data acquisition module, a data cleaning module, a data analysis module and a data integration module;

[0044] The data collection module is used to collect information such as macroeconomic data, industry trends, policy orientation, and technological development related to the project;

[0045] The data cleaning module is used to clean the collected data and remove invalid, erroneous or incomplete data;

[0046] The data analysis module: uses statistical methods and data mining techniques to analyze data trends and identify key influencing factors;

[0047] The data integration module integrates data from different sources and types to form a unified data view, providing comprehensive data support for financial calculation models.

[0048] As a specific technical solution in this implementation, the artificial intelligence optimization module includes a model training module, a parameter tuning module and a result verification module;

[0049] The model training module: uses historical data to train the financial calculation model to improve the model's predictive ability;

[0050] The parameter tuning module: uses artificial intelligence algorithms to automatically adjust model parameters to adapt to different market and policy environments;

[0051] The result verification module verifies the prediction accuracy and reliability of the model by comparing with actual data.

[0052] As a specific technical solution in this implementation, the real-time dynamic adjustment module includes a market monitoring module, a policy tracking module, a parameter updating module and a scenario analysis module;

[0053] The market monitoring module is used to continuously monitor market dynamics, such as price fluctuations, demand changes, etc., and to update the financial calculation model in a timely manner;

[0054] The policy tracking module is used to monitor changes in relevant policies, such as tax policies, environmental regulations, etc., and assess their impact on project finances;

[0055] The parameter updating module: adjusts the financial calculation parameters in real time according to the latest market and policy information to ensure the timeliness and accuracy of the calculation results;

[0056] The scenario analysis module constructs different market and policy scenarios, conducts scenario analysis, and evaluates the financial performance of the project under different circumstances.

[0057] A method for financial calculation in an engineering consulting feasibility study report is based on the system as described above. The method is as follows: according to the characteristics of the engineering project, a corresponding financial calculation system is constructed, and the financial data of the input project proposed scale parameters is processed and output in real time through the financial calculation system to provide support for decision-making.

[0058] By combining big data analysis and artificial intelligence optimization, the present invention can more accurately predict the investment, cost and benefits of engineering projects, reducing the deviation of the measurement results. The invention can adjust the financial measurement parameters in real time, promptly reflect the impact of market dynamics and policy changes on financial measurement, and improve the timeliness of the measurement results. At the same time, the present invention breaks through the limitations of traditional financial measurement methods, innovatively introduces technical means such as big data and artificial intelligence, and provides engineering consulting companies with more advanced financial measurement methods.

[0059] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions and variations of these embodiments are made without departing from the principles and spirit of the present invention, and still fall within the scope of protection of the present invention.

Claims

1. A system for financial calculation in engineering consulting feasibility study report, characterized by: The financial calculation system includes an investment estimation module, a cost prediction module, a revenue prediction module, a data collection and processing module, an artificial intelligence optimization module and a real-time dynamic adjustment module; The investment estimation module is used to calculate the initial investment required for the project in detail; The cost forecasting module is used to forecast the variable costs and fixed costs during the project operation process; The revenue forecasting module: based on market analysis, forecasts the possible revenue of the project; The data collection and processing module: provides data support for the financial calculation model; uses the big data platform to regularly collect data related to the project, and cleans, organizes and analyzes it; The artificial intelligence optimization module: uses artificial intelligence algorithms to optimize the financial calculation model to improve the accuracy and reliability of the calculation results; The real-time dynamic adjustment module adjusts the parameters of the financial calculation model in real time according to market dynamics and policy change-related factors to ensure the timeliness of the calculation results.

2. The system for financial calculation in the engineering consulting feasibility study report according to claim 1 is characterized by: The data acquisition and processing module includes a data acquisition module, a data cleaning module, a data analysis module and a data integration module; The data collection module is used to collect information related to the project; The data cleaning module is used to clean the collected data and remove invalid, erroneous or incomplete data; The data analysis module: uses statistical methods and data mining techniques to analyze data trends and identify key influencing factors; The data integration module integrates data from different sources and types to form a unified data view, providing comprehensive data support for financial calculation models.

3. The system for financial calculation in the engineering consulting feasibility study report according to claim 1 is characterized by: The artificial intelligence optimization module includes a model training module, a parameter tuning module and a result verification module; The model training module: uses historical data to train the financial calculation model to improve the model's predictive ability; The parameter tuning module: uses artificial intelligence algorithms to automatically adjust model parameters to adapt to different market and policy environments; The result verification module verifies the prediction accuracy and reliability of the model by comparing with actual data.

4. The system for financial calculation in the engineering consulting feasibility study report according to claim 1 is characterized by: The real-time dynamic adjustment module includes a market monitoring module, a policy tracking module, a parameter updating module and a scenario analysis module; The market monitoring module is used to continuously monitor market dynamics and update financial calculation models in a timely manner; The policy tracking module is used to monitor relevant policy changes and assess their impact on project finances; The parameter updating module: adjusts the financial calculation parameters in real time according to the latest market and policy information to ensure the timeliness and accuracy of the calculation results; The scenario analysis module constructs different market and policy scenarios, conducts scenario analysis, and evaluates the financial performance of the project under different circumstances.

5. A method for financial calculation in an engineering consulting feasibility study report, based on the system described in any one of claims 1 to 4, characterized in that The method is as follows: according to the characteristics of the engineering project, a corresponding financial calculation system is constructed, and the financial data of the input project scale parameters are processed and output in real time through the financial calculation system to provide support for decision-making.

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