Project declaration method and system, electronic equipment and storage medium
By systematically obtaining and processing project application data, the redundancy and lack of project application material data is solved, and an efficient and accurate application process is achieved, which improves the application efficiency and success rate.
Patent Information
- Application Number
- CN202510584838.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-08
- Publication Date
- 2025-08-19
AI Technical Summary
In the prior art, the data processing process of project application materials is complex and time-consuming, resulting in low application efficiency, and serious data redundancy and lack of data, and serious waste of resources.
By systematically obtaining application targets, project requirements information and preset conditions, determining project-related data, clarifying the data processing process and material composition form, accurately identifying project types and expected results, conducting simulation operations, supplementing missing data, optimizing data processing process and material composition, and ensuring data accuracy and compliance.
It improves the accuracy and efficiency of project application, reduces human errors, reasonably allocates resources, enhances the pertinence and persuasiveness of application materials, and improves the success rate and stability of application.
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Figure CN120509849A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of data processing technology, for example, to a project application method, system, electronic device and storage medium. Background Art
[0002] Project application is a crucial step for project teams to secure a range of support and enhance their market competitiveness. Successfully applied projects often garner widespread public attention, increasing their visibility and influence, and fostering a positive social environment for their subsequent development. Project applications often require a certain level of technological innovation and advancement to promote technological innovation and industrial upgrading in related fields, ultimately enhancing the nation's overall scientific and technological strength. The project application process involves the preparation of application materials, process approval, and communication and coordination.
[0003] In related technologies, project application materials are generally generated according to preset templates. However, the data in the application materials contain multiple types and multiple sources, and the data processing process is relatively complicated and time-consuming, resulting in low efficiency in current project applications. Summary of the Invention
[0004] This application aims to provide a project application method, system, electronic device and storage medium that can improve the efficiency of project application.
[0005] According to one aspect of the present application, a project application method is proposed, comprising: Obtain the application objectives, project demand information and preset application conditions of the target project; Determine the corresponding project-related data based on project demand information; Determine the data processing process and material composition based on the application objectives, application conditions and project-related data; According to the data processing flow and material composition form, the target project data corresponding to the data processing flow in the project-related data is processed to generate project application materials.
[0006] Through the above-mentioned embodiments provided by the present application, by systematically obtaining the declaration goals, project requirement information and preset declaration conditions of the target project, the directionality and pertinence of the declaration work can be ensured. According to the project requirement information, the corresponding project-related data is determined to avoid data redundancy and missingness, and improve the effective utilization rate of the data. The clear data processing process and material composition form make the data processing and declaration material preparation work have rules to follow, reduce human errors, and improve the accuracy and efficiency of the declaration. By accurately identifying project requirements, resources such as manpower, material resources and financial resources can be reasonably allocated to ensure the investment in key links and avoid waste of resources. The data processing and material composition customized according to the declaration goals and declaration conditions make the declaration materials more in line with the review requirements and enhance the pertinence and persuasiveness of the materials.
[0007] According to some embodiments, determining corresponding project-related data based on project requirement information includes: Determine the project type, application area and expected results from the project demand information; Obtain the optional project data corresponding to the project type and application field; Run simulations on optional project data to predict project implementation results; Select project-related data from the optional project data based on expected outcomes and project realization results.
[0008] Through the above-mentioned embodiments provided by the present application, by accurately identifying the project type, application field and expected results from the project demand information, it is possible to ensure that the selected project-related data is highly matched with the actual needs of the project. Blind collection and redundancy of data are avoided, the pertinence and effectiveness of the data are improved, and a solid data foundation is provided for the subsequent implementation of the project. Simulating the optional project data can predict the implementation results of the project, help the project team identify potential risks and challenges in advance, and formulate corresponding response strategies, thereby improving the success rate and stability of the project. By comparing the expected results and the project implementation results of the simulated operation, it can help the project team select the optimal solution from multiple optional project data.
[0009] According to some embodiments, determining the data processing flow and material composition form based on the application objectives, application conditions, and project-related data includes: According to the application conditions, match the project-related data to determine whether the project-related data meets the application requirements; In the event that the application requirements are not met, missing data will be determined based on the application conditions and project-related data to supplement the missing data; Subject to compliance with the application requirements, the data processing process and material composition shall be determined based on the application objectives and project-related data.
[0010] Through the above-mentioned embodiments provided by the present application, by matching the project-related data with the application conditions, it is possible to accurately identify which data meets the application requirements and which data is missing or does not meet the standards. This helps to supplement and improve missing data in a timely manner, ensuring that the submitted data is comprehensive, accurate and compliant, thereby improving the success rate of the application. By matching the project-related data with the application conditions, it is possible to accurately identify which data meets the application requirements and which data is missing or does not meet the standards. According to the results of the application goals and the data processing flow, the composition form of the application materials is determined, which can ensure that the structure of the application materials is clear, the content is complete, and the format is standardized, which is convenient for reviewers to quickly understand and evaluate the value and potential of the project. By supplementing missing data, optimizing the data processing flow and clarifying the composition form of the materials, the quality and credibility of the application materials can be significantly improved.
[0011] According to some embodiments, in compliance with the application requirements, the data processing process and material composition form are determined according to the application objectives and project-related data, including: Determine the research content and the key points of multiple sub-projects corresponding to the research content based on the application objectives; Determine multiple data processing links based on multiple sub-project priorities and project-related data; Generate a data processing flow according to multiple data processing links and their corresponding link project data; wherein the project-related data includes link project data; According to the research content, match the corresponding material composition.
[0012] Through the above-mentioned embodiments provided in this application, by clarifying the application objectives, it is possible to accurately determine the research content and the corresponding multiple sub-project priorities, which helps the project team concentrate resources and focus on solving the most critical technical problems or achieving the most important research goals. Based on the sub-project priorities and project-related data, multiple data processing links are determined and a complete data processing flow is generated. This not only ensures the accuracy and completeness of the data, but also improves the efficiency and accuracy of data processing and reduces unnecessary duplication of work.
[0013] According to some embodiments, a data processing flow is generated based on a plurality of data processing steps and corresponding step project data, including: Find the data sources of the project data corresponding to each of the multiple data processing links; Determine the data processing time of the corresponding data processing link based on the preset data acquisition process of the data source; A data processing flow is generated based on the data processing time corresponding to each of the multiple data processing links.
[0014] Through the above-mentioned embodiments provided by the present application, by searching for the data sources corresponding to each of the multiple data processing links, it is possible to ensure that each processing link can obtain accurate, complete and quality-compliant data, thereby avoiding problems such as data errors, omissions or inconsistencies, and improving the accuracy and reliability of data processing. According to the preset data acquisition process of the data source, the data processing time of the corresponding data processing link is determined, which helps the project team to plan and manage time resources in advance, ensure that the data processing process is successfully completed within the predetermined time range, and avoid delays or failures due to lack of time. According to the data processing time corresponding to each of the multiple data processing links, a data processing process is generated, which can realize the automation and intelligence of the process, reduce the workload of manual intervention and decision-making, and improve the stability and repeatability of the process.
[0015] According to some embodiments, target project data corresponding to the data processing flow in the project-related data is processed according to the data processing flow and the material composition form to generate project application materials, including: From the project-related data, select the data corresponding to the data processing flow as the target project data; According to the material composition form, determine the data placement location of the target project data, the data type corresponding to the data placement location, and the data display method; Determine the material processing method for target project data based on data type and data processing flow; The target project data will be processed according to the data placement location, data display method, material processing method and data processing flow to generate project application materials.
[0016] Through the above-mentioned embodiments provided by this application, by accurately selecting target project data corresponding to the data processing flow from project-related data, the accuracy and relevance of the data are ensured, data redundancy and errors are avoided, and the efficiency and accuracy of data processing are improved. The data placement location, data type, and data display method of the target project data are determined based on the material composition form, making the project application materials clearer, easier to read, and compliant with regulations. The material processing method of the target project data is determined based on the data type and data processing flow, achieving flexible processing of different types of data.
[0017] According to some embodiments, determining the data processing flow and material composition form based on the application objectives, application conditions, and project-related data includes: Analyze project-related data to determine the corresponding data source attributes; Get the data encryption method corresponding to the data source attribute; Based on the data encryption method, determine the corresponding data quality cleaning method, and process the project-related data according to the data quality cleaning method to determine stable project data; Determine the data processing flow and material composition based on the application objectives, application conditions and stable project data.
[0018] Through the above-mentioned embodiments provided by this application, by in-depth analysis of project-related data, it is possible to accurately identify the source attributes of the data, including key information such as the data generation source, storage method, and update frequency, providing a solid foundation for subsequent data processing and ensuring the accuracy and reliability of the data. The corresponding data encryption method is determined according to the data source attributes, effectively ensuring the security of the data during transmission and storage. This avoids the risk of data leakage and illegal access and protects the confidentiality and integrity of project-related data. Based on the data encryption method, a scientific data quality cleaning method is formulated, and corresponding cleaning strategies are adopted for different types of encrypted data to reduce errors, duplications, missing data, and other problems in the data, thereby improving the accuracy and availability of the data. By processing project-related data through the data quality cleaning method, stable and reliable project data can be screened out, providing strong support for the subsequent preparation of application materials and ensuring the authenticity and credibility of the application content. According to the application goals, application conditions and stable project data, the data processing process and material composition form are reasonably determined to ensure that the structure of the application materials is clear and the content is complete, meeting the application requirements, and improving the success rate of the application.
[0019] According to one aspect of the present application, a project application device is proposed, comprising: The information acquisition module is used to obtain the application objectives, project demand information and preset application conditions of the target project; Demand analysis information module, used to determine the corresponding project-related data based on project demand information; The process form determination module is used to determine the data processing process and material composition form based on the application objectives, application conditions and project-related data; The material generation module is used to process the target project data corresponding to the data processing flow in the project-related data according to the data processing flow and material composition form to generate project application materials.
[0020] Optionally, the demand analysis information module is specifically used to: Determine the project type, application area and expected results from the project demand information; Obtain the optional project data corresponding to the project type and application field; Run simulations on optional project data to predict project implementation results; Select project-related data from the optional project data based on expected outcomes and project realization results.
[0021] Optionally, the process form determination module is specifically used to: According to the application conditions, match the project-related data to determine whether the project-related data meets the application requirements; In the event that the application requirements are not met, missing data will be determined based on the application conditions and project-related data to supplement the missing data; Subject to compliance with the application requirements, the data processing process and material composition shall be determined based on the application objectives and project-related data.
[0022] Optionally, the process form determination module is specifically used to determine the data processing process and material composition form based on the declared target and project-related data: Determine the research content and the key points of multiple sub-projects corresponding to the research content based on the application objectives; Determine multiple data processing links based on multiple sub-project priorities and project-related data; Generate a data processing flow according to multiple data processing links and their corresponding link project data; wherein the project-related data includes link project data; According to the research content, match the corresponding material composition.
[0023] Optionally, when the process form determination module generates a data processing process according to a plurality of data processing links and their corresponding link project data, it is specifically used to: Find the data sources of the project data corresponding to each of the multiple data processing links; Determine the data processing time of the corresponding data processing link based on the preset data acquisition process of the data source; A data processing flow is generated based on the data processing time corresponding to each of the multiple data processing links.
[0024] Optionally, the material generation module is specifically used to: From the project-related data, select the data corresponding to the data processing flow as the target project data; According to the material composition form, determine the data placement location of the target project data, the data type corresponding to the data placement location, and the data display method; Determine the material processing method for target project data based on data type and data processing flow; The target project data will be processed according to the data placement location, data display method, material processing method and data processing flow to generate project application materials.
[0025] Optionally, the process form determination module is specifically used to: Analyze project-related data to determine the corresponding data source attributes; Get the data encryption method corresponding to the data source attribute; Based on the data encryption method, determine the corresponding data quality cleaning method, and process the project-related data according to the data quality cleaning method to determine stable project data; Determine the data processing flow and material composition based on the application objectives, application conditions and stable project data.
[0026] According to one aspect of the present application, an electronic device is proposed, which includes: a processor; and a memory storing a computer program, wherein when the computer program is executed by the processor, the processor executes the project declaration method as described above.
[0027] According to one aspect of the present application, a non-transitory computer-readable medium is proposed, on which readable instructions are stored. When the instructions are executed by a processor, the processor executes the project declaration method as described above.
[0028] It should be understood that the foregoing general description and the following detailed description are merely illustrative and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS
[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0030] Figure 1 A flowchart of the project application method provided in the embodiment of the present application; Figure 2 A block diagram of a project application device provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0031] To make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0032] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.
[0033] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.
[0034] Figure 1 This is a flowchart of the project declaration method provided in the embodiment of this application. The method of this embodiment can be applied to the project management server. Figure 1 As shown, the method includes: step S10, step S11, step S12 and step S13.
[0035] In step S10, the application target, project demand information and preset application conditions of the target project are obtained.
[0036] In this application, the declared objectives can be used to represent the primary purpose or desired outcome that the applicant hopes to achieve through the target project. These objectives may include technical indicators, economic indicators, and social benefits. Technical indicators may include new technology development and product performance improvements. Economic indicators may include cost reduction, revenue growth, and return on investment. Social benefits may include environmental improvements, increased employment, and enhanced public services.
[0037] Project requirements information can be used to describe the various resources, conditions, and support required for the implementation of the target project, such as manpower, equipment, key technological breakthroughs, sites, infrastructure, and other related information. Application requirements can be used to describe the standards or requirements that the application materials for the target project must meet, as well as other requirements for project applicants, such as company size, experience with similar projects, and professional capabilities.
[0038] In some implementations, the application objectives, project requirement information, and application conditions can be set or collected in advance and stored for direct retrieval.
[0039] In step S11, corresponding project-related data is determined according to project requirement information.
[0040] In this application, the project involves a lot of different sources and types of data during the research and implementation process. These data correspond to different project requirements. Therefore, the data corresponding to the project requirements can be directly matched as the project's prerequisite data.
[0041] In step S12, the data processing flow and material composition form are determined based on the application target, application conditions and project-related data.
[0042] In this application, the data processing flow can be used to characterize how to organize various data before generating the project application materials for the target project. The material composition form can be used to determine where the aforementioned data should be placed in the materials and what form of presentation to use, such as charts.
[0043] In some implementations, a process determination model and a composition form determination model can be pre-set, and the application objectives, application conditions and project-related data can be input into the process determination model and the composition form determination model respectively to output the data processing process and material composition form.
[0044] In step S13, according to the data processing flow and the material composition form, the target project data corresponding to the data processing flow in the project-related data is processed to generate project application materials.
[0045] In this application, the target project data may be a part of the project-related data, and is used to represent the relevant data in the data processing flow.
[0046] In some implementations, the placement and display format of various types of data, such as the project name, applicant, background, objectives, and technical route, are determined based on the material composition format. The target project data is cleaned and processed according to the data processing flow, and then populated into the material composition format to generate the project application materials.
[0047] This application can ensure the directionality and pertinence of the application work by systematically obtaining the application goals, project demand information and preset application conditions of the target projects. Determining the corresponding project-related data based on the project demand information avoids data redundancy and loss, and improves the effective utilization of data. Clear data processing procedures and material composition forms make data processing and application material preparation work more standardized, reduce human errors, and improve the accuracy and efficiency of applications. By accurately identifying project needs, resources such as human, material and financial resources can be reasonably allocated to ensure investment in key links and avoid waste of resources. Customized data processing and material composition based on application goals and application conditions make the application materials more in line with the review requirements and enhance the pertinence and persuasiveness of the materials.
[0048] According to some embodiments, the project type, application field and expected results can be determined from the project demand information; optional project data corresponding to the project type and application field can be obtained; the optional project data can be simulated to predict the project implementation results; and project-related data can be selected from the optional project data based on the expected results and project implementation results.
[0049] In this application, you can first directly extract the project type, application field, and expected results from the project requirements information. Different data can be applied to different project types and application fields. Data that meets the project type and application field of this application can be used as optional project data.
[0050] Based on the project requirements, a project simulation model is established. This model can be a statistical analysis model based on historical data or a simulation model based on system dynamics. Using the project data as input parameters, the model simulates the project implementation process and outputs the project results. Compare and analyze the expected results with the project results to assess the project's feasibility and potential for achieving the goals. If the project has multiple goals or indicators, a multi-objective decision analysis method (such as the Analytic Hierarchy Process (AHP) or TOPSIS) can be used to comprehensively evaluate the strengths and weaknesses of each project data option. Based on the results of this comparative analysis, select the project-related data that best meets the project requirements and is most likely to achieve the expected results.
[0051] This application can ensure that the selected project-related data is highly consistent with the actual needs of the project by accurately identifying the project type, application field, and expected results from the project demand information. It avoids blind data collection and redundancy, improves the pertinence and effectiveness of the data, and provides a solid data foundation for the subsequent implementation of the project. Simulating the optional project data can predict the results of the project, help the project team identify potential risks and challenges in advance, and formulate corresponding response strategies, thereby improving the success rate and stability of the project. By comparing the expected results and the project implementation results of the simulated operation, it can help the project team select the optimal solution from multiple optional project data.
[0052] According to some embodiments, project-related data can be matched according to the application conditions to determine whether the project-related data meets the application requirements; if the application requirements are not met, the missing data can be determined according to the application conditions and the project-related data to supplement the missing data; if the application requirements are met, the data processing flow and material composition form can be determined according to the application goals and the project-related data.
[0053] This application can first pre-process the project-related data, including data cleaning, format unification, etc., to ensure the consistency and accuracy of the data. Boolean logic can be used to match the pre-processed project-related data to check whether it meets the application requirements. For project-related data that do not meet the application requirements, a missing data determination model can be established to output the missing data. When the project-related data meets the application requirements, the data processing flow is determined based on the application goals and project-related data. In some implementations, a core point determination model can be established, and the application goals and project-related data are input into the core point determination model to output the core points of the application goals. The data processing flow is set according to the order of the core points.
[0054] Determine the format of the application materials based on the application objectives and data processing flow. These materials may include report documents, charts, data tables, supporting documents, and so on. In some implementations, default format specifications can be obtained first. Based on this information, a preset preferred display format for the data involved in the data processing flow used to achieve the application objectives can be obtained. For example, using charts is most clear, and the overall format is integrated into the format.
[0055] By matching the project-related data with the application conditions, this application can accurately identify which data meets the application requirements and which data is missing or does not meet the standards. It helps to supplement and improve missing data in a timely manner, ensure that the submitted data is comprehensive, accurate and compliant, and thus improve the success rate of the application. By matching the project-related data with the application conditions, it can accurately identify which data meets the application requirements and which data is missing or does not meet the standards. Determining the composition of the application materials based on the application goals and the results of the data processing process can ensure that the application materials have a clear structure, complete content, and standardized format, which facilitates reviewers to quickly understand and evaluate the value and potential of the project. By supplementing missing data, optimizing the data processing process and clarifying the composition of the materials, the quality and credibility of the application materials can be significantly improved.
[0056] According to some embodiments, the research content and multiple sub-project focuses corresponding to the research content can be determined based on the application goals; multiple data processing links can be determined based on the multiple sub-project focuses and project-related data; a data processing flow can be generated based on the multiple data processing links and their respective corresponding link project data; wherein the project-related data includes link project data; and the corresponding material composition form can be matched according to the research content.
[0057] In this application, you can obtain the research content corresponding to the application objectives and, based on the application objectives, break the research content down into several subprojects, each with different technical challenges or research questions. Based on pre-defined literature, expert consultation, and other information, identify the core research focus of each subproject and use it as the subproject focus. Each subproject, subproject focus, and corresponding project-related data will serve as the corresponding data processing step. The various steps in the data processing process are closely linked, with data flowing and processed throughout the process, ensuring data coherence and consistency. You can use flowcharting software or programming languages (such as Python's Matplotlib) to create a visual model of the data processing process. Integrate the intermediate data or results generated by each data processing step to ensure that subsequent steps can correctly receive and use this data. Verify the correctness and efficiency of the data processing process through simulations, testing, and other verification methods. Based on test results, optimize and adjust the process to ensure that it can efficiently and accurately complete the data processing task. Match the material composition corresponding to the research content among the multiple pre-defined optional material compositions.
[0058] By clearly defining the application objectives, this application accurately identifies the research content and the corresponding sub-project priorities, helping the project team focus resources on solving the most critical technical problems or achieving the most important research objectives. Based on the sub-project priorities and project-related data, multiple data processing steps were identified and a complete data processing workflow was generated. This not only ensured data accuracy and completeness, but also improved data processing efficiency and accuracy, reducing unnecessary duplication of effort.
[0059] According to some embodiments, the data sources of the link project data corresponding to each of the multiple data processing links can be found; the data processing time of the corresponding data processing link can be determined based on the preset data acquisition process of the data source; and the data processing process can be generated based on the data processing time corresponding to each of the multiple data processing links.
[0060] The link item data in this application can include the ID of the data source. By detecting the source location of the link item data, the corresponding data source can be determined. A data acquisition process can be pre-defined for each data source. This process can represent the series of steps required to extract data from the data source, including identity verification, data query, data conversion, etc. These processes can be visually modeled using process modeling tools (such as BPMN and Flowchart).
[0061] Based on historical data, assign an expected duration to each step in the data acquisition process. This can be achieved through statistical analysis or machine learning models. For complex processes, simulation software can be used to simulate the process and estimate the total duration. Based on actual changes (such as network latency and data volume fluctuations), a dynamic adjustment mechanism can be implemented. A time determination model is pre-established, and the data acquisition process is input into this model to directly output the data processing time.
[0062] Use process orchestration tools (such as Apache Airflow and Prefect) to define and manage data processing flows. These tools allow users to graphically or code-basedly construct complex workflows, including dependencies, conditional branches, and loops. Within the process orchestration tool, clearly define the dependencies between each data processing step. For example, one step may depend on the output data of another. The tool automatically manages these dependencies, ensuring that the processes execute in the correct order and resulting in a consistent data processing flow.
[0063] By finding the data sources corresponding to each of the multiple data processing links, this application can ensure that each processing link can obtain accurate, complete and quality-compliant data, avoid problems such as data errors, omissions or inconsistencies, and improve the accuracy and reliability of data processing. According to the preset data acquisition process of the data source, the data processing time of the corresponding data processing link is determined, which helps the project team to plan and manage time resources in advance, ensure that the data processing process is successfully completed within the predetermined time frame, and avoid delays or failures due to lack of time. According to the data processing time corresponding to each of the multiple data processing links, the data processing process is generated, which can realize the automation and intelligence of the process, reduce the workload of manual intervention and decision-making, and improve the stability and repeatability of the process.
[0064] According to some embodiments, data corresponding to the data processing flow is selected from project-related data as target project data; the data placement location of the target project data, the data type corresponding to the data placement location, and the data display method are determined based on the material composition form; the material processing method of the target project data is determined based on the data type and the data processing flow; the target project data is processed based on the data placement location, the data display method, the material processing method, and the data processing flow to generate project application materials.
[0065] This application utilizes a database query language or data processing framework to filter target project data from project-related data to identify data that meets the requirements of the data processing process. Filtering criteria may include timeframe, data type, data status, etc. A template for project application materials is designed based on the composition of the materials. The template includes the placement of each data item, the corresponding data type, and the display format. In some implementations, the template can be designed using document editing software or professional report generation tools.
[0066] Assign a unique identifier to each data location and create a metadata table to record information such as the data type, display method, and data source for each location. This facilitates rapid data location and management during data processing. Based on the data type and data processing flow, select appropriate data processing algorithms or models to process the target project data. These algorithms may include statistical analysis, data mining, and machine learning. Automated scripts or existing data processing tools can be used to execute the data processing algorithms, converting the target project data into the desired format or content. This process can be considered a material processing method.
[0067] Fill in and format the processed target project data according to the data placement, data type, and display method specified in the template. Specifically, insert the data into the correct location, adjust the data display format (such as number format and date format), and apply necessary styles and formatting. Use the export function of your document editing software or report generation tool to convert the filled and formatted template into the final format for the project application.
[0068] This application ensures data accuracy and relevance by precisely selecting target project data corresponding to the data processing flow from project-related data, avoiding data redundancy and errors, and improving data processing efficiency and accuracy. The data placement, data type, and data display method for the target project data are determined based on the material composition, making the project application materials clearer, easier to read, and more compliant with regulations. The material processing method for the target project data is determined based on the data type and data processing flow, enabling flexible processing of different types of data.
[0069] According to some embodiments, project-related data can be analyzed to determine the corresponding data source attributes; obtain the data encryption method corresponding to the data source attributes; based on the data encryption method, determine the corresponding data quality cleaning method, and process the project-related data according to the data quality cleaning method to determine stable project data; determine the data processing process and material composition form based on the declaration target, declaration conditions and stable project data.
[0070] This application can use data exploration tools to analyze project-related data and extract data metadata, including data type, data format, data volume, data distribution, etc. This metadata helps determine the source attributes of the data, such as internal databases, external APIs, and third-party data sources. Data lineage analysis tools (such as Apache Atlas and DataHub) can be used to track the source and flow of data, determine the original source and possible transformation processes of each data field, and obtain data source attributes.
[0071] Different data source attributes can be assigned corresponding data encryption methods, identical to the encryption used for data transmission from the corresponding data source. Use data quality assessment tools to assess the quality of project-related data and identify errors, duplications, missing values, and other issues. Based on the data quality assessment results, develop data cleansing rules, including missing value filling, outlier handling, and data type conversion. These rules can be embedded in data cleansing tools for automatic execution, and the corresponding cleaning methods can be used as data quality cleansing methods.
[0072] Use statistical methods (such as time series analysis and variance analysis) to assess data stability and determine which data are stable, meaning they remain consistent across time or conditions, and serve as stable project data. Use process design tools to design a data processing flow based on the application objectives and conditions, including steps such as data input, processing, output, and storage. Based on the application requirements and data characteristics, design a template for the project application materials, including data presentation, format, and layout. This can be accomplished using document editing software or professional report generation tools to determine the composition of the materials.
[0073] By thoroughly analyzing project-related data, this application can accurately identify the source attributes of the data, including key information such as the data's origin, storage method, and update frequency. This provides a solid foundation for subsequent data processing and ensures the accuracy and reliability of the data. The corresponding data encryption method is determined based on the data source attributes, effectively ensuring the security of the data during transmission and storage. This avoids the risk of data leakage and unauthorized access, and protects the confidentiality and integrity of project-related data. Based on the data encryption method, a scientific data quality cleaning method is formulated, and corresponding cleaning strategies are adopted for different types of encrypted data to reduce errors, duplications, and missing data, thereby improving data accuracy and availability. Processing project-related data through data quality cleaning methods can screen out stable and reliable project data, providing strong support for the subsequent preparation of application materials and ensuring the authenticity and credibility of the application content. Based on the application objectives, application conditions, and stable project data, the data processing process and material composition format are reasonably determined to ensure the structure of the application materials is clear and the content is complete, meeting the application requirements, and improving the success rate of the application.
[0074] The following describes an apparatus embodiment of the present application, which can be used to perform the method embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, reference can be made to the method embodiment of the present application.
[0075] Figure 2 This is a block diagram of the project application device provided in the embodiment of the present application. Figure 2 As shown, the project application device 200 includes an information acquisition module 201, a demand analysis information module 202, a process form determination module 203 and a material generation module 204.
[0076] Information acquisition module 201, used to obtain the application target, project demand information and preset application conditions of the target project; Demand analysis information module 202, used to determine corresponding project-related data based on project demand information; The process form determination module 203 is used to determine the data processing process and material composition form based on the application target, application conditions and project-related data; The material generation module 204 is used to process the target project data corresponding to the data processing flow in the project-related data according to the data processing flow and the material composition form, so as to generate project application materials.
[0077] Optionally, the demand analysis information module 202 is specifically used to: Determine the project type, application area and expected results from the project demand information; Obtain the optional project data corresponding to the project type and application field; Run simulations on optional project data to predict project implementation results; Select project-related data from the optional project data based on expected outcomes and project realization results.
[0078] Optionally, the process form determination module 203 is specifically configured to: According to the application conditions, match the project-related data to determine whether the project-related data meets the application requirements; In the event that the application requirements are not met, missing data will be determined based on the application conditions and project-related data to supplement the missing data; Subject to compliance with the application requirements, the data processing process and material composition shall be determined based on the application objectives and project-related data.
[0079] Optionally, the process form determination module 203 is specifically used to: Determine the research content and the key points of multiple sub-projects corresponding to the research content based on the application objectives; Determine multiple data processing links based on multiple sub-project priorities and project-related data; Generate a data processing flow according to multiple data processing links and their corresponding link project data; wherein the project-related data includes link project data; According to the research content, match the corresponding material composition.
[0080] Optionally, when generating a data processing flow according to a plurality of data processing links and their corresponding link project data, the flow form determination module 203 is specifically configured to: Find the data sources of the project data corresponding to each of the multiple data processing links; Determine the data processing time of the corresponding data processing link based on the preset data acquisition process of the data source; A data processing flow is generated based on the data processing time corresponding to each of the multiple data processing links.
[0081] Optionally, the material generation module 204 is specifically configured to: From the project-related data, select the data corresponding to the data processing flow as the target project data; According to the material composition form, determine the data placement location of the target project data, the data type corresponding to the data placement location, and the data display method; Determine the material processing method for target project data based on data type and data processing flow; The target project data will be processed according to the data placement location, data display method, material processing method and data processing flow to generate project application materials.
[0082] Optionally, the process form determination module 203 is specifically configured to: Analyze project-related data to determine the corresponding data source attributes; Get the data encryption method corresponding to the data source attribute; Based on the data encryption method, determine the corresponding data quality cleaning method, and process the project-related data according to the data quality cleaning method to determine stable project data; Determine the data processing flow and material composition based on the application objectives, application conditions and stable project data.
[0083] The device performs functions similar to the method provided above. For other functions, please refer to the previous description and will not be repeated here.
[0084] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Figure 3As shown, the electronic device 300 of this embodiment may include: a memory 301 and a processor 302.
[0085] The memory 301 stores a computer program. When the computer program is executed by the processor 302 , the processor 302 executes the method in the above embodiment.
[0086] The processor 302 and the memory 301 are connected, for example, via a bus.
[0087] Optionally, the electronic device 300 may further include a transceiver. It should be noted that in actual applications, the number of transceivers is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.
[0088] Processor 302 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the present disclosure. Processor 302 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, or a combination of a DSP and a microprocessor.
[0089] A bus includes a path that transmits information between the components mentioned above. Examples include a PCI (Peripheral Component Interconnect) bus and an EISA (Extended Industry Standard Architecture) bus. Buses can be categorized as address buses, data buses, and control buses. For ease of illustration, the diagram uses a single thick line, but this does not imply a single bus or type of bus.
[0090] The memory 301 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.
[0091] The memory 301 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 302. The processor 302 is used to execute the application code stored in the memory 301 to implement the content shown in the above method embodiment.
[0092] Electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. They may also include servers, etc. Figure 3 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.
[0093] The electronic device of this embodiment can be used to execute the method of any of the above embodiments. Its implementation principles and technical effects are similar and will not be described in detail here.
[0094] The present application also provides a non-transitory computer-readable storage medium having computer-readable instructions stored thereon. When the aforementioned instructions are executed by a processor, the processor executes the method in the above embodiment.
[0095] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.
Claims
1. A project application method, characterized in that: include: Obtain the application objectives, project demand information and preset application conditions of the target project; Determine corresponding project-related data according to the project requirement information; Determine the data processing flow and material composition based on the application objectives, application conditions and project-related data; According to the data processing process and the material composition form, the target project data corresponding to the data processing process in the project-related data is processed to generate project application materials.
2. The method according to claim 1, characterized in that Determining corresponding project-related data based on the project requirement information includes: Determine the project type, application area and expected results from the project requirements information; Obtaining optional project data corresponding to the project type and the application field; Conduct simulations on the optional project data to predict project implementation results; The project-related data is selected from the optional project data based on the expected results and the project implementation results.
3. The method according to claim 1, characterized in that Determining the data processing flow and material composition based on the application objectives, application conditions and project-related data includes: Matching the project-related data according to the application conditions to determine whether the project-related data meets the application requirements; In the event that the application requirements are not met, the missing data will be determined based on the application conditions and the project-related data to supplement the missing data; In the case of meeting the declaration requirements, the data processing flow and the material composition form shall be determined based on the declaration objectives and the project-related data.
4. The method according to claim 3, characterized in that In the case of meeting the application requirements, the data processing flow and the material composition form are determined according to the application objectives and the project-related data, including: According to the application objectives, determine the research content and the key points of multiple sub-projects corresponding to the research content; Determining multiple data processing links based on the multiple sub-project priorities and the project-related data; Generate the data processing flow according to the multiple data processing links and the corresponding link project data; wherein the project-related data includes the link project data; According to the research content, the corresponding material composition form is matched.
5. The method according to claim 4, characterized in that Generating the data processing flow according to the plurality of data processing links and the corresponding link project data includes: Finding the data sources of the link project data corresponding to each of the multiple data processing links; Determine the data processing time of the corresponding data processing link according to the preset data acquisition process of the data source; The data processing flow is generated according to the data processing time consumption corresponding to each of the multiple data processing links.
6. The method according to claim 1, characterized in that The target project data corresponding to the data processing flow in the project-related data is processed according to the data processing flow and the material composition form to generate project application materials, including: Selecting data corresponding to the data processing flow from the project-related data as the target project data; Determining, based on the material composition form, a data placement location for the target project data, a data type corresponding to the data placement location, and a data display method; Determining a material processing method for the target project data based on the data type and the data processing flow; The target project data is processed according to the data placement location, the data display method, the material processing method and the data processing flow to generate the project application materials.
7. The method according to any one of claims 1 to 6, characterized in that Determining the data processing flow and material composition based on the application objectives, application conditions and project-related data includes: Analyzing the project-related data to determine corresponding data source attributes; Obtaining the data encryption method corresponding to the data source attribute; Determining a corresponding data quality cleaning method based on the data encryption method, and processing the project-related data according to the data quality cleaning method to determine stable project data; The data processing flow and the material composition form are determined according to the declaration target, the declaration conditions and the stable project data.
8. A project application device, characterized in that: include: The information acquisition module is used to obtain the application objectives, project demand information and preset application conditions of the target project; A demand analysis information module is used to determine corresponding project-related data based on the project demand information; A process form determination module is used to determine the data processing process and material composition form according to the application target, the application conditions and the project-related data; The material generation module is used to process the target project data corresponding to the data processing process in the project-related data according to the data processing process and the material composition form, so as to generate project application materials.
9. An electronic device, characterized in that: include: processor; A memory storing a computer program, which, when executed by the processor, enables the processor to execute the project declaration method according to any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium, characterized in that Computer-readable instructions are stored thereon, and when the instructions are executed by a processor, the processor executes the project application method as described in any one of claims 1 to 7.