Intelligent information management system for R&D projects

Abstract

The present invention discloses an intelligent information management system for research and development projects, and relates to the technical field of information management. The present invention comprises a project collection module, a technical point identification module, a protection measure generation module and a user interaction interface; the project collection module is used to store basic information, progress and resource data of different research and development projects; the present invention significantly improves the accuracy and efficiency of technical point identification in research and development projects, and can automatically extract key technical terms and concepts from a large number of project documents by adopting advanced natural language processing technology and machine learning algorithms. The intelligent identification process not only reduces the need for manual analysis, but also improves the accuracy of the identification results through continuous model training and optimization. By using algorithms such as TF‑IDF and TextRank and syntactic analysis, the context and dependency of technical points can be deeply understood, thereby more accurately evaluating the importance of technical points.

Description

Technical Field

[0001] The present invention relates to the technical field of information management, and in particular to an intelligent information management system for research and development projects. Background Art

[0002] Existing R&D project information management systems mainly focus on basic project management functions, such as project progress tracking, resource allocation, and document storage. Although these systems have improved the efficiency of project management to a certain extent, they often lack the ability to deeply analyze and identify key technical points in the project. In addition, the existing systems are insufficient in the intelligent identification and importance assessment of technical points, and it is difficult to meet the needs of modern R&D projects for technological innovation and intellectual property protection. Therefore, a more advanced system is needed that can automatically identify and evaluate technical points in R&D projects and provide enterprises with more accurate technical management and protection strategies.

[0003] In R&D projects, the identification and protection of technical points are key to ensuring the competitiveness and market advantage of enterprises. However, existing technologies have limitations in automatically identifying key technical vocabulary and concepts, often relying on manual operations and simple keyword matching, lacking the ability of deep learning and natural language processing. For the identified technical points, the existing system fails to provide effective quantitative evaluation methods and protection measures recommendations, making enterprises often lack pertinence and foresight in technology protection. This makes it difficult for enterprises to adjust their protection strategies in a timely manner when facing a rapidly changing market and technological environment, increasing the risk of technology leakage and infringement.

[0004] In view of the above challenges, modern enterprises urgently need an intelligent R&D project information management system. Summary of the invention

[0005] The purpose of the present invention is to solve the deficiencies of existing R&D project information management systems in terms of intelligent identification of technical points, importance assessment and recommendation of protection measures, as well as the risks of technology leakage and infringement, and to propose an intelligent information management system for R&D projects.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] Intelligent information management system for R&D projects, including:

[0008] Project collection module, used to store basic information, progress and resource data of different R&D projects;

[0009] The technical point identification module is used to identify the technical points of the stored R&D project information. The specific steps are as follows:

[0010] First, organize the R&D project data stored in the database and collect project documents;

[0011] Clean the text data of the collected project documents, remove irrelevant characters, punctuation marks and stop words, and perform word segmentation to break the text into analyzable words or phrases;

[0012] Then, perform part-of-speech tagging on each word in the text, identify nouns, verbs, and adjectives, identify proper nouns in the text, identify and extract technical terms through an existing technical term library or through machine learning algorithms, and then use TF-IDF or TextRank algorithms to extract keywords from the text; perform syntactic analysis at the same time, identify the dependency between words, and find the context of key technical points;

[0013] Use the knowledge graph or question bank to identify concepts and their relationships in the text, apply LDA topic modeling technology to identify the topics in the document, and then use the labeled data to train the machine learning model to identify key technical points. Apply the trained model to new documents to automatically identify key technical points.

[0014] Evaluate the accuracy of recognition results and collect user feedback for model optimization;

[0015] Analyze the correlation between the identified technical points, identify the technical combination or technical cluster, and obtain the re-evaluation value based on the performance parameters of the technical points in the document. This re-evaluation value is used as the standard for the preliminary evaluation of the importance of the technical points.

[0016] Then, the re-evaluation values ​​of different technical points are compared with the preset re-evaluation threshold. When the re-evaluation value is greater than the re-evaluation threshold, the technical points of this part are marked, and then the difference between the re-evaluation value of the marked calculation point and the re-evaluation threshold is calculated and recorded as the re-difference value;

[0017] Display the marked technical points in a graphical way to facilitate user understanding and analysis;

[0018] The protection measures generation module is used to automatically recommend corresponding protection measures according to the type and importance of technical points;

[0019] The user interaction interface is used to provide users with an operation interface to support users in project management and technical protection operations.

[0020] Furthermore, the analysis process of the heavy difference in the technical point identification module is as follows:

[0021] The performance parameters include:

[0022] Word frequency: the frequency with which a technical point appears in a document;

[0023] Inverse Document Frequency: evaluates the rarity of a technical point in the entire document collection. The higher the rarity, the greater the inverse document frequency (IDF) value.

[0024] TF-IDF: Combines word frequency and inverse document frequency to evaluate the importance of a technical point in a specific document relative to the entire document set, and assigns a score of 1-10, which is recorded as the set weight value;

[0025] Keyword density: the relative frequency of keywords in a particular paragraph or document;

[0026] Position weight: The position of the technical point in the document. Different positions in the document are assigned different importance scores. The number of times the technical point appears in different positions is determined. The importance scores of all document positions are multiplied by the number of times the technical point appears and the sum is recorded as the position score.

[0027] Citation count: the number of times a technical point is cited in the document;

[0028] Then normalize the obtained word frequency, inverse document frequency, set weight, keyword density, position rating and citation count and enter them into the following formula: To get the re-evaluation value ZPZ, where They are the normalized values ​​of word frequency, inverse document frequency, set weight, keyword density, position rating and number of citations, and the obtained re-rating value ZPZ is used as the standard to measure the importance of technical points.

[0029] Furthermore, the specific operation steps of the project collection module for storing basic information, progress and resource data of different R&D projects are as follows:

[0030] First, the structure of the stored database is designed, including table structure, field definition, data type and relationship, data model is defined, and the relationship between data and data organization method are clarified;

[0031] Then collect project data from different sources, including user input, file import or API integration, and verify the collected data to ensure its accuracy and completeness;

[0032] Clean the data, remove duplicate, erroneous and incomplete data, and then convert the data into a format that is easy to store;

[0033] Storing the cleaned and converted data into the database, including creating new R&D records or updating data records of existing R&D projects, and then creating indexes for the database tables;

[0034] Regularly back up stored data, implement data access control mechanisms to ensure that only authorized users can access specific data, ensure data consistency throughout the system, and handle concurrent access and data synchronization issues;

[0035] Update data regularly, maintain data timeliness and accuracy, record data change history, conduct data audits, and design error handling mechanisms to address problems that arise during data storage;

[0036] Collect user feedback and adjust data storage process and database structure based on user feedback.

[0037] Furthermore, the specific operation steps of the protection measure generation module to automatically recommend corresponding protection measures according to the type and importance of the technical points are as follows:

[0038] Classify the marked technical points according to different types, and modify the importance assessment according to the potential value of the technical points in the project. The potential value score is obtained by collecting the parameters affecting the potential value of the technical points and conducting a comprehensive analysis.

[0039] Then compare the potential price score with several preset potential price score intervals. Different correction percentages are set for each of the potential price score intervals. After determining the potential price score interval to which the potential price score of the technical point belongs, the correction percentage of the technical point is obtained, and the correction percentage is multiplied by the weight difference to obtain the corrected weight difference, which is recorded as the re-evaluation value, and the re-evaluation value is used as the final standard for measuring the importance of the technical point.

[0040] Then the obtained re-evaluation value is compared with the three preset re-evaluation value intervals, and the three preset re-evaluation value intervals correspond to three importance levels. When the re-evaluation value interval to which the re-evaluation value belongs is determined, the importance level of the corresponding technical point is determined, wherein the three importance levels correspond to low importance level, medium importance level and high importance level respectively;

[0041] According to the type and importance of technical points, analyze encryption requirements, determine the type and sensitivity of the data that needs to be protected, and select the corresponding encryption method for encryption based on the sensitivity of the data and usage scenarios.

[0042] Furthermore, the specific process of selecting the corresponding encryption method for encryption according to the type and importance of the technical point in the protection measure generation module is as follows:

[0043] For low-importance technical points:

[0044] Encrypt data using standard symmetric encryption algorithms;

[0045] Implement basic access control to ensure that only authorized personnel can access encrypted data;

[0046] Use SSL / TLS protocol to ensure data security during transmission, and regularly back up encrypted data to ensure data recoverability;

[0047] Technical points of medium importance:

[0048] Classify technical points and identify data that requires medium-level protection;

[0049] Implement access control policies that use role-based access control and use asymmetric encryption algorithms for scenarios that require secure exchange of keys or data;

[0050] Use digital signatures to ensure data integrity and source verification, implement key management strategies, including key generation, distribution, storage and destruction, and conduct regular security audits to ensure the effectiveness of encryption measures;

[0051] For high-importance technical points:

[0052] Apply multi-layer encryption strategies, combine symmetric and asymmetric encryption methods, and develop customized encryption algorithms based on specific needs;

[0053] Use HSM to store and manage encryption keys;

[0054] The use of zero-knowledge proof technology allows verification of certain attributes of data without revealing the data itself, ensuring that the data is encrypted and protected throughout its life cycle from creation to destruction;

[0055] Implement physical security measures for servers and devices that store highly sensitive data;

[0056] Enforce the use of multi-factor authentication to access encrypted data and deploy data loss prevention systems to prevent data leaks.

[0057] Furthermore, the specific operation steps of potential value analysis in the protection measures generation module are as follows:

[0058] The potential value influencing parameters include:

[0059] Market demand analysis: quantify the potential market demand for technology points through market research data;

[0060] Competitive analysis: evaluate the competitiveness and market share of similar technologies in the market;

[0061] Technology maturity index: quantitative scoring based on different stages of technology maturity;

[0062] Innovation scoring: quantify the innovation of a technology point through scoring of patent novelty, creativity and practicality;

[0063] Patent citation analysis: quantify the influence and importance of a technology point through the number of patent citations;

[0064] R&D investment and cost: Quantify the R&D cost of a technology point, including manpower, time and financial investment;

[0065] Expected benefit analysis: quantify the potential economic benefits of a technology point through market forecasting models;

[0066] Technology life cycle assessment: assess the life cycle of a technology point and predict the duration and profitability of the technology point in the market;

[0067] According to the potential value impact parameters, a comprehensive scoring model is constructed, and different weights are assigned to each potential value impact parameter according to its influence on the importance of the technical point;

[0068] Then, score each potential value influencing parameter based on the performance of the technical points, multiply the score of each potential value influencing parameter by the corresponding weight and sum them up to obtain a comprehensive score, which is recorded as the potential value score.

[0069] Furthermore, the user interaction interface provides an operation interface for users, and supports users to perform project management and technical protection operations. The specific operation steps are as follows:

[0070] The user interface uses modern Web technology to provide project management views, technical point identification results display and protection measures suggestions. Specifically:

[0071] First, through feedback interaction with administrators, we obtain administrators' needs and expectations for the interface and design the interface layout, including project management view, technical point identification result display and protection measures layout;

[0072] Select the front-end technology stack, create interface prototypes, conduct user testing to collect feedback, design the process of user interaction with the interface, use HTML, CSS or JavaScript technology for front-end development, and ensure that the interface can be displayed on different devices and screen sizes;

[0073] Realize the binding of the front-end interface and the back-end data to ensure real-time data update and interaction, integrate the user authentication mechanism to ensure that only authorized users can access the corresponding data, and develop project management views to display the basic information, progress and resource status of the project;

[0074] Design and implement the display method of technical point identification results, realize the function of automatically recommending protection measures according to the importance of technical points, provide search boxes and filtering options so that users can quickly find the required information, and use charts and graphs to display complex data and improve data readability;

[0075] Integrate user feedback tools to collect user opinions and suggestions on the interface, implement front-end security measures, perform performance testing on the interface, optimize loading time and response speed, and ensure that the interface works properly on different browsers;

[0076] Deploy the developed interface to the server and put it online. After it is online, continuously monitor the operating status of the interface, fix any problems that arise, and continuously iterate and update the interface based on user feedback and changes in system requirements.

[0077] Compared with the prior art, the present invention has the following beneficial effects:

[0078] This invention significantly improves the accuracy and efficiency of technical point identification in R&D projects. By adopting advanced natural language processing technology and machine learning algorithms, it can automatically extract key technical terms and concepts from a large number of project documents. The intelligent recognition process not only reduces the need for manual analysis, but also improves the accuracy of recognition results through continuous model training and optimization. By using algorithms such as TF-IDF, TextRank and syntactic analysis, it can deeply understand the context and dependencies of technical points, thereby more accurately evaluating the importance of technical points.

[0079] The present invention greatly enhances the technical protection capability of R&D projects. According to the evaluation results of the importance of technical points, it automatically recommends corresponding protection measures, including but not limited to patent applications, copyright registration and trade secret protection. This automated protection measure recommendation mechanism enables enterprises to take appropriate protection actions in a timely manner to prevent technology leakage and infringement risks. It also provides encryption methods of different importance levels to ensure that key technical points are properly protected.

[0080] The present invention optimizes the user's operating experience by providing a user-friendly interactive interface. The interface design takes into account the needs of project management and technical protection, is implemented using modern Web technology, and supports adaptation to different devices and screen sizes. Users can quickly understand technical point identification results and protection measure recommendations through intuitive views and graphical displays. At the same time, a user feedback tool is integrated to allow users to put forward opinions and suggestions, thereby promoting continuous improvement and iterative updates of the system and ensuring the modernity and applicability of system functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0082] Figure 1 This is the overall system block diagram of the present invention. DETAILED DESCRIPTION

[0083] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0084] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0085] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0086] like Figure 1 As shown, the intelligent information management system for R&D projects includes a project collection module, a technical point identification module, a protection measure generation module and a user interaction interface;

[0087] The project collection module is used to store basic information, progress and resource data of different R&D projects;

[0088] First, the structure of the storage database is designed, including table structure, field definition, data type and relationship, and data model is defined to clarify the relationship between data and data organization. Then, project data is collected from different sources, including user input, file import or API integration, and the collected data is verified to ensure the accuracy and completeness of the data. The data is cleaned to remove duplicate, erroneous and incomplete data. Then the data is converted into a format that is easy to store, such as standardized date format, encoding format, etc.

[0089] Store the cleaned and converted data in the database, including creating new R&D records or updating data records of existing R&D projects, and then create indexes for the database tables to improve the efficiency of subsequent queries; regularly back up the stored data to ensure data security, implement data access control mechanisms to ensure that only authorized users can access specific data, and ensure data consistency throughout the system, handling concurrent access and data synchronization issues; regularly update data, maintain data timeliness and accuracy, record data change history, and conduct data audits. At the same time, design error handling mechanisms to deal with problems encountered during data storage, collect user feedback, and adjust the data storage process and database structure based on user feedback.

[0090] The technical point identification module is used to identify technical points of the stored R&D project information;

[0091] First, organize the R&D project data stored in the database and collect project documents, including technical reports, design documents, meeting minutes, and code comments. Then, clean the text data of the collected project documents, remove irrelevant characters, punctuation marks, and stop words, and perform word segmentation to decompose the text into analyzable words or phrases.

[0092] Then, perform part-of-speech tagging on each word in the text, identify nouns, verbs, and adjectives, identify proper nouns in the text, such as names of people, places, organization names, technical terms, etc., identify and extract technical terms through an existing technical term library or through machine learning algorithms, and then use TF-IDF or TextRank algorithms to extract keywords from the text; perform syntactic analysis at the same time, identify the dependency relationship between words, and find the context of key technical points;

[0093] Use the knowledge graph or this question bank to identify concepts and their relationships in the text, apply LDA topic modeling technology to identify the topics in the document, and then use the labeled data to train the machine learning model to identify key technical points. Apply the trained model to new documents to automatically identify key technical points; evaluate the accuracy of the recognition results, collect user feedback for model optimization; analyze the correlation between the identified technical points, identify technical combinations or technical clusters, and evaluate the importance of the technical point based on the performance parameters of the technical point in the document, where the performance parameters include:

[0094] Word frequency: the frequency with which a technical point appears in a document. The higher the frequency, the more important it may be. Inverse document frequency: evaluates the rarity of a technical point in the entire document collection. The higher the rarity, the larger its inverse document (IDF) value, indicating that the technical point is more important. TF-IDF: combines word frequency and inverse document frequency to evaluate the importance of a technical point in a specific document relative to the entire document collection, and assigns a score of 1-10, recorded as the set weight value. Keyword density: the relative frequency of a keyword in a specific paragraph or document. Position weight: the position of a technical point in a document. Technical points that appear in important positions such as the title, abstract, and first sentence of a paragraph may be more important, and different importance scores are assigned to different positions in the document. The number of times a technical point appears in different positions is determined, and the importance scores of all document positions are multiplied by the number of times the technical point appears and the sum is recorded as the position score. Number of citations: the number of times a technical point is cited by other parts in a document.

[0095] Then normalize the obtained word frequency, inverse document frequency, set weight, keyword density, position rating and citation count and enter them into the following formula: To get the re-evaluation value ZPZ, where They are the normalized values ​​of word frequency, inverse document frequency, set weight, keyword density, position rating and number of citations, and the obtained re-evaluation value ZPZ is used as the standard for measuring the importance of technical points; the re-evaluation value ZPZ of different technical points is then compared with the preset re-evaluation threshold. When the re-evaluation value ZPZ is greater than the re-evaluation threshold, the technical points of this part are marked, and then the difference between the re-evaluation value ZPZ of the marked calculation point and the re-evaluation threshold is calculated, recorded as the re-difference, and the marked technical points are displayed in a graphical way to facilitate user understanding and analysis.

[0096] The protection measures generation module is used to automatically recommend corresponding protection measures according to the type and importance of technical points;

[0097] The marked technical points are classified according to different types, and the importance assessment is modified according to the potential value of the technical points in the project. Specifically, the potential value impact parameters of the technical points are collected for comprehensive analysis, where the potential value impact parameters include:

[0098] Market demand analysis: quantify the potential market demand of technology points through market research data; competition analysis: evaluate the competitiveness and market share of similar technologies in the market; technology maturity index: quantify the scores according to the different stages of technology maturity; innovation score: quantify the innovation of technology points through the scores of patent novelty, creativity and practicality; patent citation analysis: quantify the influence and importance of technology points through the number of patent citations; R&D investment and cost: quantify the R&D cost of technology points, including manpower, time and capital investment; expected benefit analysis: quantify the potential economic benefits of technology points through market forecasting models; technology life cycle assessment: evaluate the life cycle of technology points and predict their duration and profitability in the market;

[0099] According to the above potential value impact parameters, a comprehensive scoring model is constructed, each potential value impact parameter is assigned different weights according to its influence on the importance of the technical point, and each potential value impact parameter is scored according to the performance of the technical point. The score of each potential value impact parameter is multiplied by the corresponding weight and summed to obtain a comprehensive score, which is recorded as the potential value score;

[0100] Then compare the potential price score with several preset potential price score intervals. Different correction percentages are set for each of the potential price score intervals. After determining the potential price score interval to which the potential price score of the technical point belongs, the correction percentage of the technical point is obtained, and the correction percentage is multiplied by the weight difference to obtain the corrected weight difference, which is recorded as the re-evaluation value, and the re-evaluation value is used as the final standard for measuring the importance of the technical point.

[0101] Then the obtained re-evaluation value is compared with the three preset re-evaluation value intervals, and the three preset re-evaluation value intervals correspond to three importance levels. When the re-evaluation value interval to which the re-evaluation value belongs is determined, the importance level of the corresponding technical point is determined, wherein the three importance levels correspond to low importance level, medium importance level and high importance level respectively;

[0102] According to the type and importance of technical points, analyze encryption requirements, determine the type and sensitivity of the data to be protected, and select the corresponding encryption method according to the sensitivity and usage scenario of the data. Specifically:

[0103] For low-importance technical points, use standard symmetric encryption algorithms (such as AES) to encrypt data, which is suitable for fast encryption of large amounts of data. Implement basic access control to ensure that only authorized personnel can access encrypted data. Use protocols such as SSL / TLS to ensure the security of data during transmission. Back up encrypted data regularly to ensure data recoverability. For medium-importance technical points, carefully classify the technical points, identify data that requires medium-level protection, implement role-based access control policies, use asymmetric encryption algorithms for scenarios that require secure exchange of keys or data, use digital signatures to ensure data integrity and source verification, and implement Key management strategy, including key generation, distribution, storage and destruction, regular security audits to ensure the effectiveness of encryption measures; for high-importance technical points, apply multi-layer encryption strategy, combine symmetric and asymmetric encryption methods, develop customized encryption algorithms according to specific needs, use HSM to securely store and manage encryption keys, adopt zero-knowledge proof technology to allow verification of certain attributes of data without leaking the data itself, ensure that data is encrypted and protected throughout its life cycle from creation to destruction, implement physical security measures on servers and devices that store highly sensitive data, enforce the use of multi-factor authentication to access encrypted data, and deploy data leakage protection systems to prevent data leakage.

[0104] The user interaction interface is used to provide users with an intuitive operation interface to support users in project management and technical protection operations;

[0105] The user interaction interface uses modern Web technology to provide project management views, technical point identification results display and protection measures suggestions; first, through feedback interaction with administrators, obtain the administrator's needs and expectations for the interface, and design an intuitive and user-friendly interface layout, including project management views, technical point identification results display and protection measures layout; select front-end technology stacks, including React, Vue.js, Angular, etc., create interface prototypes, conduct user testing to collect feedback, and design the process of user interaction with the interface, such as clicking, sliding, inputting, etc. According to the design draft and prototype, use HTML, CSS, JavaScript and other technologies for front-end development to ensure that the interface can be well displayed on different devices and screen sizes; realize the binding of the front-end interface and the back-end data to ensure real-time update and interaction of data, and integrate the user authentication mechanism to ensure that only Only authorized users can access the corresponding data, develop project management views, and display the basic information, progress and resource status of the project; design and implement the display methods of technical point identification results, such as lists, charts, etc., realize the function of automatically recommending protection measures according to the importance of technical points, provide search boxes and filtering options so that users can quickly find the required information, use charts and graphics to display complex data, and improve the readability of data; integrate user feedback tools to collect user opinions and suggestions on the interface, implement front-end security measures such as input validation, output encoding, etc., perform performance testing on the interface, optimize loading time and response speed, and ensure that the interface can work properly on different browsers; deploy the developed interface to the server and put it online. After going online, continuously monitor the operating status of the interface, promptly fix any problems that arise, and continuously iterate and update the interface according to user feedback and changes in system requirements.

[0106] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Intelligent information management system for R&D projects, characterized by: include; Project collection module, used to store basic information, progress and resource data of different R&D projects; The technical point identification module is used to identify the technical points of the stored R&D project information. The specific steps are as follows: First, organize the R&D project data stored in the database and collect project documents; Clean the text data of the collected project documents, remove irrelevant characters, punctuation marks and stop words, and perform word segmentation to break the text into analyzable words or phrases; Then, perform part-of-speech tagging on each word in the text, identify nouns, verbs, and adjectives, identify proper nouns in the text, identify and extract technical terms through an existing technical term library or through machine learning algorithms, and then use TF-IDF or TextRank algorithms to extract keywords from the text; perform syntactic analysis at the same time, identify the dependency between words, and find the context of key technical points; Use the knowledge graph or question bank to identify concepts and their relationships in the text, apply LDA topic modeling technology to identify the topics in the document, and then use the labeled data to train the machine learning model to identify key technical points. Apply the trained model to new documents to automatically identify key technical points. Evaluate the accuracy of recognition results and collect user feedback for model optimization; Analyze the correlation between the identified technical points, identify the technical combination or technical cluster, and obtain the re-evaluation value based on the performance parameters of the technical points in the document. This re-evaluation value is used as the standard for preliminary evaluation of the importance of the technical points. Then, the re-evaluation values ​​of different technical points are compared with the preset re-evaluation threshold. When the re-evaluation value is greater than the re-evaluation threshold, the technical point is marked, and then the difference between the re-evaluation value of the marked calculation point and the re-evaluation threshold is calculated and recorded as the re-difference value. The analysis process of the re-difference value is as follows: The performance parameters include: Word frequency: the frequency with which a technical point appears in a document; Inverse document frequency: evaluates the rarity of a technical point in the entire document collection. The higher the rarity, the greater its inverse document value. TF-IDF: Combines word frequency and inverse document frequency to evaluate the importance of a technical point in a specific document relative to the entire document set, and assigns a score of 1-10, which is recorded as the set weight value; Keyword density: the relative frequency of keywords in a particular paragraph or document; Position weight: The position of the technical point in the document. Different positions in the document are assigned different importance scores. The number of times the technical point appears in different positions is determined. The importance scores of all document positions are multiplied by the number of times the technical point appears and the sum is recorded as the position score. Citation count: the number of times a technical point is cited in the document; Then normalize the obtained word frequency, inverse document frequency, set weight, keyword density, position rating and citation count and enter them into the following formula: To get the re-evaluation value ZPZ, where They are the normalized values ​​of word frequency, inverse document frequency, set weight, keyword density, position evaluation and citation times, and the obtained re-evaluation value ZPZ is used as the standard to measure the importance of technical points; Display the marked technical points in a graphical way to facilitate user understanding and analysis; The protection measures generation module is used to automatically recommend corresponding protection measures according to the type and importance of technical points; The user interaction interface is used to provide users with an operation interface to support users in project management and technical protection operations.

2. The intelligent information management system for R&D projects according to claim 1, characterized in that: The specific operation steps of the project collection module to store the basic information, progress and resource data of different R&D projects are as follows: First, the structure of the stored database is designed, including table structure, field definition, data type and relationship, data model is defined, and the relationship between data and data organization method are clarified; Then collect project data from different sources, including user input, file import or API integration, and verify the collected data to ensure its accuracy and completeness; Clean the data, remove duplicate, erroneous and incomplete data, and then convert the data into a format that is easy to store; Storing the cleaned and converted data into the database, including creating new R&D records or updating data records of existing R&D projects, and then creating indexes for the database tables; Regularly back up stored data, implement data access control mechanisms to ensure that only authorized users can access specific data, ensure data consistency throughout the system, and handle concurrent access and data synchronization issues; Update data regularly, maintain the timeliness and accuracy of data, record data change history, conduct data audits, and design error handling mechanisms to deal with problems that arise during data storage; Collect user feedback and adjust data storage process and database structure based on user feedback.

3. The intelligent information management system for R&D projects according to claim 1 is characterized in that: The specific operation steps of the protection measure generation module to automatically recommend corresponding protection measures according to the type and importance of the technical points are as follows: Classify the marked technical points according to different types, and modify the importance assessment according to the potential value of the technical points in the project. The potential value score is obtained by collecting the parameters affecting the potential value of the technical points and conducting a comprehensive analysis. Then compare the potential price score with several preset potential price score intervals. Different correction percentages are set for each of the potential price score intervals. After determining the potential price score interval to which the potential price score of the technical point belongs, the correction percentage of the technical point is obtained, and the correction percentage is multiplied by the weight difference to obtain the corrected weight difference, which is recorded as the re-evaluation value, and the re-evaluation value is used as the final standard for measuring the importance of the technical point. Then the obtained re-evaluation value is compared with the three preset re-evaluation value intervals, and the three preset re-evaluation value intervals correspond to three importance levels. When the re-evaluation value interval to which the re-evaluation value belongs is determined, the importance level of the corresponding technical point is determined, wherein the three importance levels correspond to low importance level, medium importance level and high importance level respectively; According to the type and importance of technical points, analyze encryption requirements, determine the type and sensitivity of the data that needs to be protected, and select the corresponding encryption method for encryption based on the sensitivity of the data and usage scenarios.

4. The intelligent information management system for R&D projects according to claim 3 is characterized in that: The specific process of selecting the corresponding encryption method for encryption according to the type and importance of the technical point in the protection measure generation module is as follows: For low-importance technical points: Encrypt data using standard symmetric encryption algorithms; Implement basic access control to ensure that only authorized personnel can access encrypted data; Use SSL / TLS protocol to ensure data security during transmission, and regularly back up encrypted data to ensure data recoverability; Technical points of medium importance: Classify technical points and identify data that requires medium-level protection; Implement access control policies that use role-based access control and use asymmetric encryption algorithms for scenarios that require secure exchange of keys or data; Use digital signatures to ensure data integrity and source verification, implement key management strategies, including key generation, distribution, storage and destruction, and conduct regular security audits to ensure the effectiveness of encryption measures; For high-importance technical points: Apply multi-layer encryption strategies, combine symmetric and asymmetric encryption methods, and develop customized encryption algorithms based on specific needs; Use HSM to store and manage encryption keys; The use of zero-knowledge proof technology allows verification of certain attributes of data without revealing the data itself, ensuring that the data is encrypted and protected throughout its life cycle from creation to destruction; Implement physical security measures for servers and devices that store highly sensitive data; Enforce the use of multi-factor authentication to access encrypted data and deploy data loss prevention systems to prevent data leaks.

5. The intelligent information management system for R&D projects according to claim 3 is characterized in that: The specific steps for potential price analysis in the protection measures generation module are as follows: The potential value influencing parameters include: Market demand analysis: quantify the potential market demand for technology points through market research data; Competitive analysis: evaluate the competitiveness and market share of similar technologies in the market; Technology maturity index: quantitative scoring based on different stages of technology maturity; Innovation scoring: quantify the innovation of a technology point through scoring of patent novelty, creativity and practicality; Patent citation analysis: quantify the influence and importance of a technology point through the number of patent citations; R&D investment and cost: Quantify the R&D cost of a technology point, including manpower, time and financial investment; Expected benefit analysis: quantify the potential economic benefits of a technology point through market forecasting models; Technology life cycle assessment: assess the life cycle of a technology point and predict the duration and profitability of the technology point in the market; Based on the potential value impact parameters, a comprehensive scoring model is constructed, and different weights are assigned to each potential value impact parameter according to its impact on the importance of the technical point; Then, score each potential value influencing parameter based on the performance of the technical points, multiply the score of each potential value influencing parameter by the corresponding weight and sum them up to obtain a comprehensive score, which is recorded as the potential value score.

6. The intelligent information management system for R&D projects according to claim 1, characterized in that: The user interaction interface provides an operation interface for users, and supports users to perform project management and technical protection operations. The specific operation steps are as follows: The user interface uses modern Web technology to provide project management views, technical point identification results display and protection measures suggestions. Specifically: First, through feedback interaction with administrators, we obtain administrators' needs and expectations for the interface and design the interface layout, including project management view, technical point identification result display and protection measures layout; Select the front-end technology stack, create interface prototypes, conduct user testing to collect feedback, design the process of user interaction with the interface, use HTML, CSS or JavaScript technology for front-end development, and ensure that the interface can be displayed on different devices and screen sizes; Realize the binding of the front-end interface and the back-end data to ensure real-time data update and interaction, integrate the user authentication mechanism to ensure that only authorized users can access the corresponding data, and develop project management views to display the basic information, progress and resource status of the project; Design and implement the display method of technical point identification results, realize the function of automatically recommending protection measures according to the importance of technical points, provide search boxes and filtering options so that users can quickly find the required information, and use charts and graphs to display complex data and improve data readability; Integrate user feedback tools to collect user opinions and suggestions on the interface, implement front-end security measures, perform performance testing on the interface, optimize loading time and response speed, and ensure that the interface works properly on different browsers; Deploy the developed interface to the server and put it online. After it is online, continuously monitor the operating status of the interface, fix any problems that arise, and continuously iterate and update the interface based on user feedback and changes in system requirements.

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