Low-altitude economic data capitalization platform and intelligent evaluation system thereof

Abstract

The invention discloses a low-altitude economic data capitalization platform and an intelligent evaluation system thereof, and belongs to the technical field of economic evaluation, and the low-altitude economic data capitalization platform comprises a data collection module, a data processing module, an intelligent evaluation module, a report generation module and a capitalization suggestion module. The data acquisition module is used for automatically acquiring low-altitude economic related data from multiple channels, the data acquisition module establishes a stable data transmission protocol with each data source to ensure the real-time performance and accuracy of the data, and the acquired data is transmitted to the data processing module in real time for subsequent processing. According to the low-altitude economic data capitalization platform and the intelligent evaluation system thereof, data value analysis is comprehensively enhanced, the system not only pays attention to the direct economic value of the data, but also deeply mines the potential value of the data through an intelligent algorithm, such as market trend prediction, risk early warning and the like, and provides a more comprehensive and deep data value analysis report for enterprises.

Description

Technical Field

[0001] The present invention belongs to the technical field of economic evaluation, and particularly relates to a low-altitude economic data assetization platform and its intelligent evaluation system. Background Art

[0002] With the progress of drone technology and the rapid development of the low-altitude economy, low-altitude economy-related data (such as aerial photography data, airspace utilization data, and logistics distribution data, etc.) is gradually becoming an important economic asset.

[0003] However, currently, the evaluation and assetization methods for these data mainly rely on traditional methods, resulting in low evaluation efficiency, incomplete analysis of data value, and insufficient assetization. Therefore, there is an urgent need for an efficient and intelligent system to evaluate and assetize low-altitude economic data. Summary of the Invention

[0004] The purpose of the present invention is to provide a low-altitude economic data assetization platform and its intelligent evaluation system to solve the problems raised in the background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A low-altitude economic data assetization platform and its intelligent evaluation system, including: a data collection module, a data processing module, an intelligent evaluation module, a report generation module, and an assetization suggestion module; The data collection module is used to automatically collect low-altitude economy-related data from multiple channels. The data collection module establishes a stable data transmission protocol with each data source to ensure the real-time and accuracy of the data. The collected data will be transmitted to the data processing module in real time for subsequent processing; The data processing module is used to clean, integrate, and preprocess the collected data to ensure that the data quality meets the evaluation requirements. The data processing module receives the data from the data collection module and transmits the processed data to the intelligent evaluation module. After the data is cleaned and integrated, a standardized data set is formed for use by subsequent modules; The intelligent evaluation module uses advanced machine learning and artificial intelligence algorithms to deeply analyze the processed data and evaluate its economic value. The intelligent evaluation module receives the data from the data processing module and transmits the evaluation results to the report generation module and the assetization suggestion module. The evaluation results will serve as the basis for the subsequent modules to generate reports and strategies; The report generation module generates a detailed evaluation report based on the evaluation results of the intelligent evaluation module, including content such as market potential, technical characteristics, and risk analysis. The report generation module receives the data from the intelligent evaluation module and generates a user-friendly report. The report will serve as an important reference for user decision-making; Based on the evaluation report, the securitization recommendation module provides users with securitization strategy recommendations, including financing models and marketing plans. The securitization recommendation module interacts with users to provide personalized securitization recommendations according to user needs. User feedback will be used as the basis for optimizing the recommendations, continuously iterating and improving the system performance.

[0006] As a preferred implementation, the data collection module and the data processing module adopt machine learning algorithms. The machine learning algorithms use advanced technologies such as regression analysis and classification algorithms to perform in-depth learning and mining on low-altitude economy data, and can automatically identify the rules and patterns in the data, improving the accuracy of the evaluation.

[0007] As a preferred implementation, the report generation module uses data visualization technology to display the analysis results by graphical means, with the functions of being intuitive and easy to understand. It can enhance users' understanding and decision-making ability of information. Through visualization means, users can grasp the key information of the data more quickly and make wise decisions.

[0008] As a preferred implementation, the report generation module and the securitization recommendation module use a cloud computing platform, adopt cloud storage and computing resources, realize the efficiency and flexibility of big data processing, support elastic expansion, and can dynamically adjust resources according to user needs.

[0009] As a preferred implementation, the multiple channels of the data collection module include but are not limited to drones, sensors, and market surveys.

[0010] As a preferred implementation, the graphical means include line charts, bar charts, and scatter plots.

[0011] Compared with the prior art, the technical effects and advantages of the present invention: The low-altitude economy data securitization platform and its intelligent evaluation system significantly improve the evaluation efficiency: By deeply integrating advanced data analysis technologies and artificial intelligence technologies, this system can achieve rapid and accurate evaluation of low-altitude economy data. Compared with traditional methods, the evaluation cycle is greatly shortened, thus providing more timely data value feedback for enterprises; The low-altitude economy data securitization platform and its intelligent evaluation system comprehensively enhance data value analysis: This system not only focuses on the direct economic value of the data, but also deeply mines the potential value of the data through intelligent algorithms, such as market trend prediction and risk warning, providing a more comprehensive and in-depth data value analysis report for enterprises; The low-altitude economy data assetization platform and its intelligent evaluation system can effectively improve the degree of assetization. Based on accurate data evaluation results, this system can provide scientific assetization strategy suggestions for enterprises, including financing model selection, market promotion plan formulation, etc., so as to help enterprises more effectively convert low-altitude economy data into actual assets and enhance market competitiveness; The low-altitude economy data assetization platform and its intelligent evaluation system highlight the intelligent features. By integrating advanced data analysis and artificial intelligence technologies, it realizes the intelligent evaluation and assetization of low-altitude economy data. This feature enables this system to automatically adapt to different data types and evaluation requirements, providing a more personalized and intelligent service experience. Compared with traditional methods, this system not only improves the accuracy and efficiency of evaluation, but also brings richer data value mining and assetization strategy selection for enterprises; The low-altitude economy data assetization platform and its intelligent evaluation system have a unique algorithm design: This system adopts innovative machine learning algorithms, which can more accurately identify the potential value of low-altitude economy data; The low-altitude economy data assetization platform and its intelligent evaluation system have an efficient data processing process: By optimizing the data processing process, it realizes a rapid response from data collection to evaluation report generation; The low-altitude economy data assetization platform and its intelligent evaluation system have an intelligent user interaction: The system can provide personalized assetization suggestions according to user needs, improving user experience and satisfaction. Brief Description of the Drawings

[0012] Figure 1 is the framework diagram of the present invention; Figure 2 is the flow chart of the present invention; Figure 3 is the data visualization example diagram of the present invention. Detailed Embodiment

[0013] In the following description, a large number of specific details are given to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, some technical features well known to the art are not described to avoid confusion with the present invention.

[0014] Please refer to Figures 1 to 3 , a low-altitude economy data assetization platform and its intelligent evaluation system. In this embodiment, it includes: a data collection module, a data processing module, an intelligent evaluation module, a report generation module, and an assetization suggestion module; The data collection module is used to automatically collect low-altitude economy-related data from multiple channels. The data collection module establishes a stable data transmission protocol with each data source to ensure the timeliness and accuracy of the data. The collected data will be transmitted in real-time to the data processing module for subsequent processing. The multiple channels include but are not limited to drones, sensors, and market surveys; The data processing module is used to clean, integrate, and preprocess the collected data to ensure that the data quality meets the evaluation requirements. The data processing module receives the data from the data collection module and passes the processed data to the intelligent evaluation module. After the data is cleaned and integrated, a standardized data set is formed for use by subsequent modules; The intelligent evaluation module uses advanced machine learning and artificial intelligence algorithms to deeply analyze the processed data and evaluate its economic value. The intelligent evaluation module receives the data from the data processing module and passes the evaluation results to the report generation module and the asset monetization suggestion module. The evaluation results will serve as the basis for the subsequent modules to generate reports and strategies; The report generation module generates a detailed evaluation report based on the evaluation results of the intelligent evaluation module, including market potential, technical characteristics, and risk analysis, etc. The report generation module receives the data from the intelligent evaluation module and generates a user-friendly report. The report will serve as an important reference for user decision-making; The asset monetization suggestion module provides asset monetization strategy suggestions for users based on the evaluation report, including financing models, market promotion plans. The asset monetization suggestion module interacts with users and provides personalized asset monetization suggestions according to user needs. User feedback will be used as the basis for optimization suggestions to continuously iterate and improve the system performance.

[0015] Machine learning algorithms, which adopt advanced technologies such as regression analysis and classification algorithms, conduct in-depth learning and mining on low-altitude economy data, can automatically identify the rules and patterns in the data, and improve the accuracy of evaluation. Compared with traditional methods, machine learning algorithms can process more complex data sets and improve the evaluation efficiency.

[0016] Data visualization technology, which uses graphical means to display the analysis results, has the functions of being intuitive and easy to understand, can enhance users' understanding and decision-making ability of information. Through visualization means, users can grasp the key information of the data more quickly and make wise decisions. The graphical means include line charts, bar charts, and scatter plots.

[0017] Cloud computing platform, which adopts cloud storage and computing resources, realizes the high efficiency and flexibility of big data processing, supports elastic expansion, can dynamically adjust resources according to user needs, reduces the operation and maintenance costs of the system, and improves the efficiency and reliability of data processing.

[0018] Implementation Process 1. The user uploads a data file: Through the convenient upload interface of this platform, users can easily upload data files related to the low-altitude economy.

[0019] 2. Automatic Data Cleaning and Preprocessing by the System: The system will efficiently clean and preprocess the data uploaded by users to ensure data quality. This process is completely transparent to users and does not require manual operation by users.

[0020] 3. Generation of Reports by the Intelligent Evaluation Module: Through deep learning and intelligent analysis, the intelligent evaluation module will quickly generate a detailed evaluation report containing content such as market potential, technical characteristics, and risk analysis.

[0021] 4. Provision of Strategies by the Asset Monetization Suggestion Module: Based on the evaluation report, the asset monetization suggestion module will provide users with personalized asset monetization strategies, including financing models, market promotion plans, etc., to assist users in achieving data asset monetization.

[0022] 5. User Download of Reports and Strategies: Users can directly download the evaluation report and asset monetization suggestions through the platform, which is convenient for subsequent decision-making and implementation.

[0023] Throughout the implementation process, this system fully considers user-friendliness, provides an intuitive interface design and a simple operation process, and ensures that users can easily get started and quickly complete data evaluation and asset monetization. Implementation Effects

[0024] 1. Improvement of Evaluation Efficiency: This system significantly shortens the overall cycle from data upload to the generation of the evaluation report. Specifically, compared with traditional methods, the evaluation cycle is shortened by approximately 50%, enabling users to quickly obtain the evaluation of data value and thus make more timely decisions.

[0025] 2. Promotion of Data Asset Monetization: By providing scientific evaluation and asset monetization strategies, this system helps enterprises effectively achieve the asset monetization of low-altitude economy data. Practice shows that for enterprises adopting this system, their data asset monetization rate has increased by approximately 30%, significantly enhancing their market competitiveness.

[0026] 3. Reduction of Operating Costs: The intelligent technology of the system reduces the dependence on human resources. According to statistics, after using this system, the operating costs of enterprises have been reduced by approximately 20%, mainly including the reduction of costs for manual evaluation and data processing.

[0027] 4. Significant Long-Term Benefits: In addition to the above short-term implementation effects, this system has also brought long-term positive impacts. By continuously optimizing the data evaluation and assetization processes, this system helps enterprises maintain a leading position in the low-altitude economy field, enhancing the enterprise's brand influence and market share. At the same time, with the continuous exploration and utilization of data value, enterprises will also gain more potential business opportunities and benefits.

[0028] The low-altitude economy data assetization platform and its intelligent evaluation system proposed by the present invention utilize modern information technology and data science to comprehensively and deeply evaluate and assetize low-altitude economy-related data, achieving remarkable main contributions and advantages. This system not only significantly improves the efficiency and accuracy of data evaluation, but also effectively promotes the assetization process of low-altitude economy data, providing strong decision-making support for enterprises and institutions.

[0029] Specifically, this system realizes the rapid and accurate evaluation of low-altitude economy data through advanced machine learning and artificial intelligence algorithms, significantly shortening the evaluation cycle and reducing operating costs. At the same time, the system also provides scientific assetization strategy suggestions to help enterprises more effectively explore and utilize data value, enhancing market competitiveness.

[0030] Looking ahead, with the continuous development of the low-altitude economy field and the continuous progress of technology, the system proposed by the present invention will play an increasingly important role in this field. It will not only promote the in-depth exploration and utilization of low-altitude economy data, but also drive the data assetization process of relevant enterprises and institutions, injecting new vitality into the overall development of the industry. Therefore, the present invention has broad application prospects and profound social and economic value.

[0031] The system architecture diagram clearly shows the core components of the entire low-altitude economy data assetization platform and the data flow and interaction relationships among them. The following key modules and their functions are detailed in the figure: ‌Data acquisition module‌: ‌Function‌: This module is responsible for efficiently and accurately obtaining low-altitude economy-related data from various sources (such as drones, sensors, market surveys, etc.), providing rich data input for the system.

[0032] ‌Data processing module‌: ‌Function‌: It comprehensively cleans, preprocesses, and integrates the collected data to ensure that the data quality meets the requirements of subsequent analysis, providing a high-quality data set for the intelligent evaluation module.

[0033] ‌Intelligent evaluation module‌: ‌Function‌: It uses advanced machine learning algorithms and artificial intelligence technologies to deeply analyze and evaluate the processed data, explore the potential value in the data, and provide strong data support for the report generation module.

[0034] ‌Report Generation Module‌: ‌Function‌: Based on the output results of the intelligent evaluation module, an evaluation report containing detailed analysis results and evaluation conclusions is generated, providing an intuitive reporting basis for the assetization suggestion module.

[0035] ‌Assetization Advice Module‌: ‌Function‌: Based on the content of the evaluation report, combined with market trends and user needs, provide scientific and reasonable assetization strategies and suggestions to help enterprises realize data assetization.

[0036] ‌Graphic Example‌: [Data collection module]-->[Data processing module]-->[Intelligent evaluation module]-->[Report generation module]-->[Assetization suggestion module] (Note: The arrows in the diagram indicate the direction of data flow and interaction, from the left module to the right module.) Through such a system architecture diagram description, we can more clearly understand the operation process of the entire low-altitude economic data assetization platform and the collaborative relationship between each module, providing strong support for subsequent system development and optimization.

[0037] 2. Workflow diagram The workflow diagram shows in detail the operation process of the low-altitude economic data assetization platform and how users can effectively interact with the system. The main steps include the following stages: ‌User uploaded data files‌: Users upload low-altitude economic related data files through the platform interface as input for system analysis.

[0038] ‌The system performs data cleaning‌: After the system receives the data uploaded by the user, it automatically performs data cleaning, including removing invalid data, filling missing values, correcting errors, etc., to ensure data quality.

[0039] ‌System Analysis Data‌: The cleaned data will be sent to the intelligent evaluation module, which will use machine learning algorithms to conduct in-depth analysis and evaluation to explore the potential value in the data.

[0040] Generate an assessment report: Based on the analysis results, the system automatically generates an evaluation report containing detailed evaluation conclusions for user reference.

[0041] ‌Provide assetization suggestions‌: The system provides scientific and reasonable assetization strategies and suggestions based on the content of the evaluation report, combined with market trends and user needs.

[0042] Users download reports and obtain suggestions: Users can download the evaluation report through the platform interface and view the assetization suggestions provided by the system to make subsequent decisions.

[0043] Illustration example: [User uploads data file] --> [System performs data cleaning] --> [System analyzes data] --> [Generates evaluation report] --> [Provides assetization suggestions] --> [Users download reports and obtain suggestions] 3. Schematic diagram of the analysis model The schematic diagram of the analysis model details the specific algorithms and models used in the intelligent evaluation module, as well as the input, processing, and output processes of data. The main components include: Input data: Includes drone data, airspace data, market research data, etc., as the input to the intelligent evaluation module.

[0044] Data preprocessing: Cleans, integrates, and formats the input data to ensure that the data quality meets the requirements of machine learning algorithms.

[0045] Machine learning model: Adopts advanced machine learning algorithms such as regression analysis, classification algorithms, clustering algorithms, etc. to deeply analyze and evaluate the preprocessed data.

[0046] Output results: Based on the output results of the machine learning model, including key indicators such as economic value, technical evaluation, market potential, etc., provides strong support for subsequent assetization suggestions.

[0047] Illustration example: [Input data (drone data, airspace data, etc.)] --> [Data preprocessing] --> [Machine learning model (regression analysis, classification algorithms, etc.)] --> [Output results (economic value, technical evaluation, etc.)] 4. Example diagram of data visualization The data visualization diagram displays the analysis results generated by the system in an intuitive chart form, helping users better understand the value and potential impact of the data. The main chart types include bar charts, pie charts, line charts, etc., which are used to display key information such as market value, technical indicators, economic impact, etc.

[0048] As Figure 3 shown, taking the bar chart showing market value as an example, the bar chart in the illustration is only for example, and the actual data will be dynamically generated according to the system analysis results.

[0049] Note that, in this document, relational terms such as "first" and "second" are used solely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0050] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A low-altitude economic data assetization platform and its intelligent evaluation system, characterized by: include: Data collection module, data processing module, intelligent evaluation module, report generation module, and assetization suggestion module; The data acquisition module is used to automatically collect low-altitude economic related data from multiple channels. The data acquisition module establishes a stable data transmission protocol with each data source to ensure the real-time and accuracy of the data. The collected data will be transmitted to the data processing module in real time for subsequent processing; The data processing module is used to clean, integrate and pre-process the collected data to ensure that the data quality meets the evaluation requirements. The data processing module receives the data from the data collection module and passes the processed data to the intelligent evaluation module. After cleaning and integration, the data forms a standardized data set for use by subsequent modules; The intelligent evaluation module uses advanced machine learning and artificial intelligence algorithms to conduct in-depth analysis of the processed data and evaluate its economic value. The intelligent evaluation module receives data from the data processing module and passes the evaluation results to the report generation module and the assetization suggestion module. The evaluation results will serve as the basis for subsequent modules to generate reports and strategies; The report generation module generates a detailed evaluation report based on the evaluation results of the intelligent evaluation module, including market potential, technical characteristics and risk analysis. The report generation module receives the data of the intelligent evaluation module and generates a user-friendly report, which will serve as an important reference for user decision-making; The assetization suggestion module provides users with assetization strategy suggestions based on the evaluation report, including financing models and marketing plans. The assetization suggestion module interacts with users and provides personalized assetization suggestions based on user needs. User feedback will serve as the basis for optimization suggestions and continuously iterate to improve system performance.

2. According to claim 1, a low-altitude economic data assetization platform and its intelligent evaluation system are characterized by: The data acquisition module and data processing module adopt machine learning algorithms. The machine learning algorithms use advanced technologies such as regression analysis and classification algorithms to conduct deep learning and mining of low-altitude economic data. They can automatically identify the rules and patterns in the data and improve the accuracy of the assessment.

3. According to claim 1, a low-altitude economic data assetization platform and its intelligent evaluation system are characterized by: The report generation module adopts data visualization technology and uses graphical means to display analysis results. It has intuitive and easy-to-understand functions and can enhance users' understanding of information and decision-making capabilities. Through visualization means, users can grasp the key information of the data more quickly and make wise decisions.

4. According to claim 1, a low-altitude economic data assetization platform and its intelligent evaluation system are characterized by: The report generation module and assetization recommendation module use a cloud computing platform, adopt cloud storage and computing resources, achieve high efficiency and flexibility in big data processing, support elastic expansion, and can dynamically adjust resources according to user needs.

5. According to claim 1, a low-altitude economic data assetization platform and its intelligent evaluation system are characterized by: The various channels of the data collection module include but are not limited to drones, sensors, and market surveys.

6. According to claim 3, a low-altitude economic data assetization platform and its intelligent evaluation system are characterized by: The graphical means include line graphs, bar graphs, and scatter graphs.

Images