Intelligent economics information processing system

Abstract

The invention belongs to the technical field of economics management, and discloses an intelligent economics information processing system which comprises a data acquisition and integration module, a data cleaning and preprocessing module and a model construction and optimization module. According to the method, various methods such as anomaly detection based on a statistical method, anomaly detection based on distance or anomaly detection based on density can be adopted for processing the abnormal values so as to identify and correct the influence of the abnormal values on data analysis, data format conversion is used for unifying data formats and types, and the data analysis efficiency is improved. According to the method, the data are cleaned and preprocessed to facilitate subsequent analysis and modeling processes, the quality and accuracy of the data are remarkably improved through the data cleaning and preprocessing operations, a high-quality data source is provided for subsequent analysis and modeling, errors and uncertainty of analysis results are reduced, and the accuracy and reliability of economic research are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of economic management, and specifically is an intelligent economic information processing system. Background Art

[0002] The intelligent economic information processing system is a comprehensive system based on advanced technology and artificial intelligence algorithms, designed to process and analyze large-scale economic data to provide more accurate and in-depth economic insights and decision-making support. After the existing technology completes data collection, the original data may be missing, abnormal, and duplicated. Since the analysis and prediction results of the system depend to a large extent on the quality and completeness of the input data, when analyzing missing, abnormal, and duplicate data, the system may produce inaccurate results and errors, reducing the accuracy and reliability of economic research. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent economic information processing system to solve the problems raised in the above-mentioned background technology.

[0004] In order to achieve the above-mentioned objectives, the present invention provides the following technical solutions: an intelligent economics information processing system, which includes a data collection and integration module, a data cleaning and preprocessing module, a model building and optimization module, a decision support and suggestion module, an automation and intelligence module, a visualization display and interaction module, and a safety and reliability assurance module.

[0005] Preferably, S1: when using the intelligent economic information processing system, the visualization display and interaction module will provide users with a visualization interface to facilitate user analysis results, and the automation and intelligence module will increase the automation and intelligence of the system;

[0006] S2: When using the system, you first need to use the data collection and integration module to collect economics-related data;

[0007] S3: The collected raw data often has missing, abnormal and duplicate problems. At this time, the data cleaning and preprocessing module will clean and preprocess the data;

[0008] S4: The system then uses the advanced algorithms and models in the model building and optimization module to analyze and mine the cleaned and preprocessed data;

[0009] S5: The system then uses the decision support and suggestion module to provide support and suggestions to decision makers based on the analysis module and data;

[0010] S6: During the use of the system, the safety and reliability assurance module will take a series of safeguard measures.

[0011] Preferably, according to the visualization and interaction module mentioned in S1, the user can select the data to be analyzed, adjust the model parameters, and view historical data through the visualization interface. In addition, the system also supports various forms of data display, such as charts, tables, and reports, so that users can better understand and analyze the data.

[0012] Preferably, according to the automation and intelligent module mentioned in S1, the data collection, cleaning, analysis, optimization and decision support tasks can be automatically completed when the system is used.

[0013] Preferably, according to the data collection and integration module mentioned in S2, a large amount of economics-related data can be collected, including market data, policy data, and enterprise data. These data may come from different countries, different industries, and different time points, and then the data can be integrated.

[0014] Preferably, according to the data cleaning and preprocessing module mentioned in S3, this module will remove duplicate data, fill in missing values, process outliers, and convert data formats to provide a high-quality data source for subsequent analysis and modeling.

[0015] Preferably, according to the model building and optimization module mentioned in S4, this module will establish various economic models, such as supply and demand models, market equilibrium models, and policy effect models to reveal the economic laws and trends behind the data. At the same time, the system will also optimize and adjust the model based on historical data and real-time data.

[0016] Preferably, according to the decision support and suggestion module mentioned in S5, this module will predict market trends, evaluate policy effects, and guide the direction of enterprise development, and then provide personalized suggestions and solutions based on different user needs and backgrounds to help decision makers make more scientific and reasonable decisions.

[0017] Preferably, according to the security and reliability assurance module mentioned in S6, a series of measures will be taken to ensure data security when the system is running, such as data encryption, access control, backup and recovery. At the same time, it also has high availability and scalability, and can cope with data processing tasks of different scales and complexities, ensuring the stable operation and continuous service of the system.

[0018] The beneficial effects of the present invention are as follows:

[0019] The present invention removes duplicate data, fills missing values, processes outliers, converts data formats, etc. through a data cleaning and preprocessing module when collecting economics-related data from various channels; the removal of duplicate data can reduce data redundancy and errors and improve data consistency and accuracy; the filling of missing values ​​can use interpolation, regression or model-based methods to estimate missing values, making the data more complete and reliable; the processing of outliers can use a variety of methods, such as statistical-based anomaly detection, distance-based anomaly detection or density-based anomaly detection, etc., to identify and correct the impact of outliers on data analysis, and the conversion of data formats is to unify data formats and types for subsequent analysis and modeling processes. Through these data cleaning and preprocessing operations, the quality and accuracy of the data are significantly improved, providing a high-quality data source for subsequent analysis and modeling, which helps to reduce errors and uncertainties in analysis results and improve the accuracy and reliability of economic research. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram showing the modules of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] like Figure 1 As shown, an embodiment of the present invention provides an intelligent economic information processing system, which includes a data collection and integration module, a data cleaning and preprocessing module, a model building and optimization module, a decision support and suggestion module, an automation and intelligence module, a visualization display and interaction module, and a security and reliability assurance module.

[0023] Among them, first, when the operator operates the intelligent economics information processing system, the system will provide a visual interface and intelligence to facilitate user operation and viewing of results. Then it is necessary to collect a large amount of economics-related data from various channels. Then the system will integrate the data, and then clean and pre-process the data. Then use advanced algorithms and models to analyze, and then optimize and adjust the data. Then, by analyzing the results and data of the model, make reasonable decisions. When processing data, the system will have strict requirements on data security and reliability.

[0024] like Figure 1As shown, S1: When using the intelligent economics information processing system, the visualization display and interaction module will provide users with a visualization interface to facilitate user analysis results, and the automation and intelligence module will increase the automation and intelligence of the system;

[0025] S2: When using the system, you first need to use the data collection and integration module to collect economics-related data;

[0026] S3: The collected raw data often has missing, abnormal and duplicate problems. At this time, the data cleaning and preprocessing module will clean and preprocess the data;

[0027] S4: The system then uses the advanced algorithms and models in the model building and optimization module to analyze and mine the cleaned and preprocessed data;

[0028] S5: The system then uses the decision support and suggestion module to provide support and suggestions to decision makers based on the analysis module and data;

[0029] S6: During the use of the system, the safety and reliability assurance module will take a series of safeguard measures.

[0030] Among them, when users use the intelligent economic information processing system, the visualization and interaction module will provide each user with an intuitive visualization interface, which is convenient for them to analyze and interpret the data processing results. In addition, the automation and intelligence module also improves the automation and intelligence level of the system, reduces manual intervention and speeds up data processing and analysis. Then the data collection and integration module needs to be started. This module is responsible for collecting a large amount of economics-related data from various sources and channels, and provides a reliable data source for subsequent analysis and modeling. Since the collected raw data may be missing, abnormal, and repeated, the data cleaning and preprocessing module plays a vital role; this module is responsible for cleaning and preprocessing the data to remove invalid, erroneous and incomplete data, fill in missing values, process abnormal values, convert data formats, etc. Through these operations, the quality and accuracy of the data can be improved, providing a reliable basis for subsequent analysis and modeling. Then, the advanced algorithms and models in the model building and optimization module can be used to conduct in-depth analysis and mining of the cleaned and preprocessed data to adjust the data. The decision support and suggestion module will then provide personalized suggestions and solutions based on different user needs and backgrounds. When the system is working, the security and reliability assurance module will take a series of safeguards to ensure the security and reliability of the data.

[0031] like Figure 1As shown, according to the visualization and interaction module mentioned in S1, users can select the data to be analyzed, adjust model parameters, and view historical data through the visualization interface. In addition, the system also supports various forms of data display, such as charts, tables, and reports, so that users can better understand and analyze data.

[0032] Among them, through the design of visualization and interaction modules, the visualization and interaction modules give users more flexibility and autonomy; through the intuitive visualization interface, users can easily select the data to be analyzed and adjust the model parameters, which enables users to customize the analysis and interpretation of economic data according to their own needs; then users can view historical data to understand the changing trends and laws of the data, so as to better grasp the development and evolution of economic phenomena.

[0033] like Figure 1 As shown, according to the automation and intelligent modules mentioned in S1, the data collection, cleaning, analysis, optimization and decision support tasks can be automatically completed when using the system.

[0034] Among them, through the design of automation and intelligent modules, it can significantly improve the work efficiency and accuracy of the system. Through automation technology, the system can automatically complete tasks such as data collection, cleaning, analysis, optimization and decision support, greatly reducing manual intervention and operation. The data collection process can be completed through automated scripts or interface docking, reducing the burden of manual collection.

[0035] like Figure 1 As shown, according to the data collection and integration module mentioned in S2, a large amount of economics-related data can be collected, including market data, policy data, and enterprise data. These data may come from different countries, different industries, and different time points, and then the data can be integrated.

[0036] Among them, through the design of the data collection and integration module, the data collection and integration module is the data input link of the intelligent economics information processing system; this module has a wide range of data source coverage capabilities and efficient data collection functions, and can collect a large amount of economics-related data from various sources and channels. By integrating data from different sources, the system can establish a unified data platform to provide comprehensive and accurate data support for subsequent analysis and modeling.

[0037] like Figure 1 As shown, according to the data cleaning and preprocessing module mentioned in S3, this module will remove duplicate data, fill in missing values, process outliers, and convert data formats to provide a high-quality data source for subsequent analysis and modeling.

[0038] Among them, through the design of data cleaning and preprocessing modules, it will remove duplicate data, fill missing values, process outliers, convert data formats, etc.; the removal of duplicate data can reduce data redundancy and errors, and improve data consistency and accuracy; missing values ​​can be filled by interpolation, regression or model-based methods to estimate missing values, making the data more complete and reliable; outlier processing can adopt a variety of methods, such as statistical-based anomaly detection, distance-based anomaly detection or density-based anomaly detection, etc., to identify and correct the impact of outliers on data analysis, and data format conversion is to unify data formats and types for subsequent analysis and modeling processes.

[0039] like Figure 1 As shown, according to the model building and optimization module mentioned in S4, this module will establish various economic models, such as supply and demand models, market equilibrium models, and policy effect models to reveal the economic laws and trends behind the data. At the same time, the system will also optimize and adjust the model based on historical data and real-time data.

[0040] Among them, through the design of the model building and optimization module, the model building and optimization module provides powerful analytical capabilities for the intelligent economic information processing system by establishing various economic models and optimizing and adjusting them using historical data and real-time data.

[0041] like Figure 1 As shown, according to the decision support and suggestion module mentioned in S5, this module will predict market trends, evaluate policy effects, and guide the direction of enterprise development, and then provide personalized suggestions and solutions based on different user needs and backgrounds to help decision makers make more scientific and reasonable decisions.

[0042] Among them, through the design of the decision support and suggestion module, as a key part of the intelligent economics information processing system, the decision support and suggestion module provides comprehensive decision support and suggestions for decision makers through functions such as predicting market trends, evaluating policy effects and guiding the direction of enterprise development.

[0043] like Figure 1 As shown, according to the security and reliability assurance module mentioned in S6, a series of measures will be taken to ensure data security when the system is running, such as data encryption, access control, backup and recovery. At the same time, it also has high availability and scalability, and can cope with data processing tasks of different scales and complexities, ensuring the stable operation and continuous service of the system.

[0044] Among them, through the design of safety and reliability assurance modules, 智The smart economics information processing system can ensure the stable operation and continuous service of the system, and provide decision makers with reliable economic data analysis tools. This helps reduce the decision-making risks caused by data security issues or system failures, and improves the accuracy and effectiveness of decisions. Therefore, the security and reliability assurance module plays a vital role in the smart economics information processing system.

[0045] Working principle and usage process:

[0046] When using the intelligent economic information processing system, the visualization and interaction module will provide each user with an intuitive visualization interface, making it easier for them to analyze and interpret the data processing results. In addition, the automation and intelligence module also improves the automation and intelligence level of the system, reduces manual intervention and speeds up data processing and analysis. Then the data collection and integration module needs to be started. This module is responsible for collecting a large amount of economics-related data from various sources and channels, providing a reliable data source for subsequent analysis and modeling. Since the collected raw data may be missing, abnormal, and repeated, the data cleaning and preprocessing module will remove duplicate data, fill in missing values, process abnormal values, convert data formats, etc.; the removal of duplicate data can reduce data redundancy and errors, and improve data consistency and accuracy; missing values ​​can be filled by interpolation, regression, or based on The model method is used to estimate missing values ​​to make the data more complete and reliable; a variety of methods can be used to handle outliers, such as anomaly detection based on statistical methods, anomaly detection based on distance, or anomaly detection based on density, to identify and correct the impact of outliers on data analysis. The conversion of data formats is to unify data formats and types for subsequent analysis and modeling processes. Through these operations, the quality and accuracy of data can be improved, providing a reliable basis for subsequent analysis and modeling. Then, the advanced algorithms and models in the model building and optimization module are used to conduct in-depth analysis and mining of the cleaned and preprocessed data to adjust the data. Then, the decision support and recommendation module will provide personalized suggestions and solutions based on different user needs and backgrounds, and the security and reliability assurance module will take a series of safeguards to ensure the security and reliability of the data when the system is working.

[0047] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0048] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent economic information processing system, characterized by: The intelligent economic information processing system includes data collection and integration module, data cleaning and preprocessing module, model building and optimization module, decision support and suggestion module, automation and intelligence module, visualization display and interaction module, and security and reliability assurance module.

2. The intelligent economic information processing system according to claim 1, characterized in that: The method of using the processing system is: S1: The visualization and interaction module will provide users with a visualization interface; S2: When using the system, you need to use the data collection and integration module to collect economics-related data; S3: The data cleaning and preprocessing module will clean and preprocess the data; S4: Analyze and mine the cleaned and preprocessed data using advanced algorithms and models in the model building and optimization module; S5: When analyzing module data, the decision support and advice module provides support and advice to decision makers; S6: The safety and reliability assurance module will take a series of safeguard measures.

3. The intelligent economics information processing system according to claim 2, characterized in that: The visualization and interaction module mentioned in S1 allows users to select data to be analyzed, adjust model parameters, and view historical data through a visualization interface. In addition, the system also supports multiple forms of data display.

4. The intelligent economic information processing system according to claim 1, characterized in that: The automation and intelligent module can automatically complete data collection, cleaning, analysis, optimization and decision support tasks when using the system.

5. The intelligent economics information processing system according to claim 2, characterized in that: The data collection and integration module mentioned in S2 can collect a large amount of economics-related data, including market data, policy data, and enterprise data. These data may come from different countries, different industries, and different time points, and then integrate the data.

6. The intelligent economics information processing system according to claim 2, characterized in that: The data cleaning and preprocessing module mentioned in S3 will remove duplicate data, fill missing values, process outliers, and convert data formats.

7. The intelligent economic information processing system according to claim 2, characterized in that: The model building and optimization module mentioned in S4 will establish various economic models to reveal the economic laws and trends behind the data. At the same time, the system will also optimize and adjust the model based on historical data and real-time data.

8. The intelligent economic information processing system according to claim 2, characterized in that: The decision support and suggestion module mentioned in S5 will predict market trends, evaluate policy effects, guide the direction of enterprise development, and then provide personalized suggestions and solutions based on different user needs and backgrounds.

9. The intelligent economic information processing system according to claim 2, characterized in that: The security and reliability assurance module mentioned in S6 will take a series of measures to ensure data security when the system is running, such as data encryption, access control, backup and recovery. At the same time, it also has high availability and scalability, and can cope with data processing tasks of different scales and complexities.

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