Knowledge base system for nuclear power collaborative research and development

Abstract

The invention provides a knowledge base system for nuclear power collaborative research and development. The knowledge base system comprises a knowledge base management module and a knowledge base application module, the knowledge base management module comprises a knowledge acquisition sub-module, a knowledge storage sub-module and a knowledge management sub-module; the knowledge base application module comprises a knowledge adjoint sub-module, a knowledge search sub-module and a knowledge operation sub-module; the knowledge acquisition sub-module is used for acquiring knowledge content; the knowledge storage sub-module is used for storing the collected knowledge content; the knowledge management sub-module is used for managing a stored knowledge base; the knowledge accompanying sub-module is used for providing knowledge accompanying perception, knowledge accompanying pushing and knowledge accompanying searching in a research and development environment; the knowledge search sub-module is used for searching keywords; and the knowledge operation sub-module is used for managing a knowledge content operation mode and recording use data of the knowledge base. According to the method, knowledge characteristics and application characteristics of collaborative research and development are fused, and various requirements of knowledge in four stages of acquisition, storage, management and application are met.

Description

Technical Field

[0001] The present disclosure relates to the field of knowledge engineering technology, and in particular to a knowledge base system for collaborative research and development of nuclear power. Background Art

[0002] In the field of nuclear power design, knowledge engineering is an important means to enable digital collaborative R&D to improve quality and efficiency. As one of the core technologies of knowledge engineering, the knowledge base can help enterprises to effectively manage knowledge in collaborative R&D, organize knowledge and information, accelerate the flow of knowledge and information, and form a thematic knowledge base with the methods, principles, process procedures, experience cases, standards and regulations, and intelligence documents required for R&D, which can be applied at different stages of the project through different forms of knowledge organization.

[0003] However, despite the important role that knowledge bases play in collaborative R&D, there are still some related problems. For example, existing R&D knowledge is often out of touch with actual business activities and lacks deep integration with design tools and environments, which leads to poor practical application of knowledge and inability to effectively support specific design and development needs. At the same time, current knowledge bases usually adopt document-based expressions and lack personalized knowledge attributes and labels, making it difficult to accurately express and retrieve structured knowledge and process knowledge, thereby limiting the comprehensive utilization and transfer of knowledge. In addition, the retrieval and application of knowledge bases are usually limited to the metadata level and lack deep association and sharing with specific R&D personnel and scenarios, which makes it difficult for R&D teams to fully utilize and integrate existing knowledge assets in actual work, thus affecting the potential for innovation and efficiency improvement. Summary of the invention

[0004] The disclosed embodiments at least provide a knowledge base system for collaborative research and development of nuclear power, which can significantly improve the team's collaboration efficiency, innovation ability and the quality of research and development results in the field of nuclear power through effective knowledge collection, storage and management, combined with immediate knowledge application and optimized operation methods.

[0005] The disclosed embodiment provides a knowledge base system for nuclear power collaborative research and development, including a knowledge base management module and a knowledge base application module; the knowledge base management module includes a knowledge acquisition submodule, a knowledge storage submodule and a knowledge management submodule; the knowledge base application module includes a knowledge companion submodule, a knowledge search submodule and a knowledge operation submodule;

[0006] The knowledge acquisition submodule is used to create knowledge items and acquire knowledge content corresponding to the knowledge items; the knowledge storage submodule is used to store the knowledge items created by the knowledge acquisition submodule and the acquired knowledge content corresponding to the knowledge items to form a knowledge base; the knowledge management submodule is used to manage the knowledge base stored in the knowledge storage submodule according to a preset method;

[0007] The knowledge accompanying submodule is used to provide knowledge accompanying perception, knowledge accompanying push and knowledge accompanying search in the R&D environment; the knowledge search submodule is used to retrieve keywords in the knowledge base and related libraries; the knowledge operation submodule is used to manage the knowledge content operation mode of the knowledge base and record the usage data of the knowledge base.

[0008] In some possible embodiments, the knowledge accompanying perception is used to display pre-configured project information about the R&D project on the R&D work interface; the project information includes project name, project stage and project professional information;

[0009] The knowledge accompanying push is used to push the knowledge package related to the R&D project on the R&D work interface; the knowledge package is configured manually and / or by text algorithm;

[0010] The knowledge accompanying search is used to provide a floating search window, so as to realize searching for information related to the R&D project by using the search submodule in the R&D work interface.

[0011] In some possible embodiments, the search submodule is further used to recommend a search keyword based on the search information in the search box, and display the search keyword in the search box of the search submodule;

[0012] The search submodule is also used to perform basic search and / or graph search in the knowledge base and the association library according to the content of the search information.

[0013] In some possible embodiments, the knowledge search submodule is also used for search management, including search hot word management, search log management, word segmentation management, paging management, data source management and search analysis management.

[0014] In some possible embodiments, the knowledge acquisition submodule creates knowledge entries in a manner including a user system creation manner, a user system integration creation manner, a user R&D scenario accompanying creation manner, and a manager data import creation manner;

[0015] The user system creation method includes the user creating knowledge items through the knowledge acquisition submodule when the user is in a non-R&D state;

[0016] The user system integration creation method includes the user acquiring knowledge content from multiple business systems integrated with the knowledge base system, and creating knowledge items according to the acquired knowledge content through the knowledge acquisition submodule;

[0017] The user R&D scenario accompanying creation method includes: when the user is in the R&D work scenario and there is a need to create a knowledge item, in response to the need, the knowledge collection submodule pops up a knowledge item creation floating window on the R&D work interface to realize the creation of the knowledge item;

[0018] The manager data import creation method includes the manager importing data in batches through the knowledge collection submodule to complete the creation of batch knowledge items and the collection of knowledge content corresponding to the knowledge items.

[0019] In some possible embodiments, when the knowledge item is created, the expression form of the knowledge content corresponding to the knowledge item includes text form, table form, hyperlink form and picture form.

[0020] In some possible embodiments, the knowledge storage submodule is further used to store the knowledge collected by the knowledge collection submodule in a preset form; the preset form includes knowledge documents, knowledge encyclopedias, knowledge maps, and knowledge questions and answers.

[0021] In some possible embodiments, before storing the knowledge collected by the knowledge collection submodule in a preset form, the knowledge storage submodule is further used to edit and set the knowledge collected by the knowledge collection submodule according to the knowledge template, knowledge version and knowledge authority;

[0022] The knowledge template is used to provide knowledge entry creation options, including knowledge attributes, knowledge tags, knowledge expression forms, knowledge permissions, and knowledge association options;

[0023] The knowledge version is used to provide current version information and historical version information;

[0024] The knowledge rights include personnel rights and document rights; the personnel rights include maintainer rights and user rights; the document rights include view rights, download rights and copy rights.

[0025] In some possible embodiments, the knowledge management submodule is also used to: classify each knowledge item in the knowledge base stored in the knowledge storage submodule and the knowledge content corresponding to the knowledge item according to professional type; and according to the knowledge classification category, determine the target category of each knowledge content corresponding to the knowledge item based on the classification result of professional type classification, and assign each knowledge item and the knowledge content corresponding to the knowledge item to the knowledge subbase corresponding to the target category; the knowledge classification categories include method principle category, process procedure category, experience case category, standard regulation category and intelligence document category.

[0026] In some possible embodiments, the knowledge operation submodule is specifically used to provide a personal center function, a knowledge homepage function and a knowledge statistics function;

[0027] The personal center function is used to view personal knowledge base usage information; the personal knowledge base usage information includes information collection, information subscription, information browsing, personal comments, personal likes and personal messages;

[0028] The knowledge homepage function is used to provide commonly used function options; the commonly used function options include personal knowledge navigation, knowledge classification navigation, knowledge recommendation and commonly used tools;

[0029] The knowledge statistics function is used for knowledge base usage data statistics, knowledge base usage authority management, and knowledge base basic settings management.

[0030] The knowledge base system for nuclear power collaborative research and development provided in the embodiment of the present disclosure, first, through the knowledge acquisition submodule and the knowledge storage submodule, the system can efficiently collect and store rich knowledge content in the field of nuclear power, meet the needs of the research and development team for extensive and in-depth information; secondly, the knowledge management submodule ensures the systematic management of the knowledge base, thereby ensuring the accuracy and timeliness of the knowledge content, and providing reliable knowledge support for research and development activities; in terms of application, the knowledge accompanying submodule enables the research and development personnel to obtain the required knowledge in real time during the research and development process through the perception, push and search functions, effectively supporting the project progress and decision-making; at the same time, the knowledge search submodule provides the convenience of rapid retrieval of existing knowledge and related literature for the research and development personnel, saves the time of finding information, and improves the work efficiency and quality; finally, the use of the knowledge operation submodule further optimizes the operation mode of knowledge resources, and through data recording and analysis, helps the team understand the use and trend of knowledge, and provides an important reference for future research and development strategies. Therefore, this comprehensive knowledge base system not only meets the comprehensive needs of knowledge from collection, storage, management to application in the process of nuclear power collaborative research and development, but also can significantly improve the team's collaboration efficiency, innovation ability and the quality of scientific research results.

[0031] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the following briefly introduces the drawings required to be cited in the embodiments. The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure and should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0033] Figure 1 A schematic diagram of a knowledge base system for nuclear power collaborative research and development provided by an embodiment of the present disclosure is shown;

[0034] Figure 2 A schematic diagram of a method for using a knowledge base system for collaborative nuclear power research and development provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the embodiments of the present disclosure clearer, the technical scheme in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. The components of the embodiments of the present disclosure generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the drawings is not intended to limit the scope of the present disclosure for protection, but merely represents the selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present disclosure.

[0036] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0037] The term "and / or" herein only describes an association relationship, indicating that three relationships may exist. For example, A and / or B may represent the following three situations: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C may represent including any one or more elements selected from the set consisting of A, B, and C.

[0038] In the field of nuclear power design, knowledge engineering is regarded as a key means to achieve digital collaborative R&D, aiming to improve quality and efficiency. Among them, knowledge base, as one of the core technologies of knowledge engineering, plays an important role, which can effectively help enterprises to effectively manage knowledge in collaborative R&D, make knowledge and information orderly, and accelerate the flow of knowledge and information. By establishing a subject knowledge base and integrating method principles, process procedures, experience cases, standards and regulations, and intelligence documents, enterprises can flexibly apply different knowledge organization forms at various stages of the project to support collaborative R&D.

[0039] However, research has found that although knowledge bases have important value in collaborative R&D, there are still some problems. First, existing R&D knowledge is often disconnected from actual business activities and lacks deep integration with design tools and environments, resulting in unsatisfactory knowledge application effects and inability to effectively support specific design and development needs. Secondly, existing knowledge bases usually use document-based expressions, lack personalized knowledge attributes and labels, and are difficult to accurately express and retrieve structured and procedural knowledge, thereby limiting the comprehensive utilization and transfer of knowledge. In addition, the retrieval and application of knowledge bases are usually limited to the metadata level, lacking deep association and sharing with specific R&D personnel and scenarios, making it difficult for R&D teams to fully utilize and integrate existing knowledge assets in actual work, thereby affecting the potential for innovation capabilities and efficiency improvements.

[0040] Based on the above research, a knowledge base system for collaborative R&D of nuclear power is provided in an embodiment of the present disclosure, and the system includes: a knowledge base management module and a knowledge base application module; the knowledge base management module includes a knowledge acquisition submodule, a knowledge storage submodule and a knowledge management submodule; the knowledge base application module includes a knowledge accompaniment submodule, a knowledge search submodule and a knowledge operation submodule; the knowledge acquisition submodule is used to create knowledge entries and collect knowledge content corresponding to the knowledge entries; the knowledge storage submodule is used to store the knowledge entries created by the knowledge acquisition submodule and the collected knowledge content corresponding to the knowledge entries to form a knowledge base; the knowledge management submodule is used to manage the knowledge base stored in the knowledge storage submodule according to a preset method; the knowledge accompaniment submodule is used to provide knowledge accompaniment perception, knowledge accompaniment push and knowledge accompaniment search in the R&D environment; the knowledge search submodule is used to retrieve keywords in the knowledge base and associated libraries; the knowledge operation submodule is used to manage the knowledge content operation mode of the knowledge base and record the usage data of the knowledge base.

[0041] In the disclosed embodiment, firstly, through the knowledge acquisition submodule and the knowledge storage submodule, the system can efficiently collect and store rich knowledge content in the field of nuclear power, meeting the needs of the R&D team for extensive and in-depth information; secondly, the knowledge management submodule ensures the systematic management of the knowledge base, thereby ensuring the accuracy and timeliness of the knowledge content, and providing reliable knowledge support for R&D activities; in terms of application, the knowledge accompanying submodule enables R&D personnel to obtain the required knowledge in real time during the R&D process through perception, push and search functions, effectively supporting project progress and decision-making; at the same time, the knowledge search submodule provides R&D personnel with the convenience of quickly retrieving existing knowledge and related literature, saving time in finding information and improving work efficiency and quality; finally, the use of the knowledge operation submodule further optimizes the operation mode of knowledge resources, and through data recording and analysis, helps the team understand the use and trend of knowledge, providing an important reference for future R&D strategies. Therefore, this comprehensive knowledge base system not only meets the comprehensive needs of knowledge from acquisition, storage, management to application in the process of nuclear power collaborative R&D, but also can significantly improve the team's collaboration efficiency, innovation ability and the quality of scientific research results.

[0042] The following is a detailed description of the knowledge base system for nuclear power collaborative research and development provided by the embodiment of the present application in conjunction with the accompanying drawings. Figure 1 As shown, it is a schematic diagram of a knowledge base system for nuclear power collaborative research and development provided by an embodiment of the present disclosure.

[0043] It can be understood that the collaborative knowledge base system includes a knowledge base management module and a knowledge base application module; the above two parts are respectively introduced in detail below.

[0044] Specifically, the knowledge base management module includes a knowledge acquisition submodule, a knowledge storage submodule and a knowledge management submodule. The knowledge acquisition submodule is used to create knowledge items and collect knowledge content corresponding to the knowledge items. Here, the methods of creating knowledge items include user system creation, user system integration creation, user R&D scenario accompanying creation, and manager data import creation. Among them, users and managers are two main users of the system, each with different permissions and priorities. Users are usually ordinary users in the system. Their main task is to obtain and use existing knowledge items through the system, or to create new knowledge items based on their own experience and needs. Managers are senior users in the system, and they have broader and deeper permissions. Managers can manage and control the entire knowledge base at a deeper level. They are usually responsible for ensuring the overall quality and integrity of the knowledge base, and can quickly update and expand the content of the knowledge base by importing data in batches. In some other embodiments, managers can also be responsible for coordinating and promoting the optimization and improvement of the system to ensure that the knowledge base can effectively support the collaborative R&D and decision-making needs of the organization.

[0045] Exemplarily, the user system creation mode refers to the user directly creating knowledge items through the knowledge acquisition submodule in a non-research and development state. In this mode, the user can enter or edit the knowledge content through the tools and options provided by the interface, and save it as a new knowledge item. In this way, it is convenient for ordinary users to contribute to the knowledge base based on their own experience and insights. The user system integration creation mode refers to the user obtaining knowledge content from multiple business systems integrated with the knowledge base system, and creating knowledge items based on the acquired knowledge content through the knowledge acquisition submodule. Among them, multiple business systems may include document management systems, customer relationship management systems, project management systems, and other information systems in specific fields within the enterprise. It can be understood that the user system integration creation mode allows users to obtain existing knowledge content from these multiple business systems to complete the creation of knowledge items. For example, an enterprise may have a customer relationship management system for managing customer information and sales data, another project management system for tracking project progress and team activities, and may also have a document management system for archiving and sharing various documents. When users need to create new knowledge items in the knowledge base system, they can use the knowledge acquisition submodule to extract relevant data and information from these business systems, and then integrate, edit and create new knowledge items. In this way, this user system integration creation method helps users to use existing business data and information resources to quickly and effectively supplement and update the knowledge base content. By integrating multiple business systems, it is possible to maximize the use of existing information resources, ensure that the content in the knowledge base is synchronized and consistent with actual business activities, and improve the efficiency and responsiveness of overall business operations.

[0046] Exemplarily, the user's R&D scenario accompanying creation method refers to the situation where the user is in the R&D work scene and may encounter the need to record specific technical solutions, solutions or knowledge fragments. At this time, in response to this demand, the knowledge acquisition submodule pops up a knowledge entry creation floating window in the R&D work interface. This floating window can provide convenient editing tools and options, such as supporting the function of inserting knowledge, adding screenshots or linking to specific project documents. Users can directly complete the entry of knowledge entries in the process of R&D work to ensure timely recording and sharing of important technical information and experience. Since managers usually play a wider role in the knowledge management system, they are mainly responsible for the overall knowledge base management and operation. They need to update, expand or initialize the content in the knowledge base on a large scale, especially in the initial system settings, major updates or data migration, so the present disclosure also proposes a manager data import creation method, in which managers can import a large number of knowledge entries and related content into the knowledge base in batches through prepared data sources, such as Excel files or data exported from other databases. The knowledge acquisition submodule usually provides a simple and easy-to-use import tool that can import external data into the system according to a preset format and structure, and automatically create or update corresponding knowledge entries. In this way, the creation of batches of knowledge items and the collection of knowledge content corresponding to the knowledge items can be completed through the manager data import creation method. In this way, large-scale knowledge management needs can be quickly responded to, while ensuring the accuracy and consistency of the data.

[0047] It is understandable that the knowledge collection submodule can also support online addition / editing of knowledge, upload attachments and set classification, confidentiality level, attributes, tags, knowledge associations, and the expression form of the uploaded knowledge content corresponding to the knowledge entry can include text form, table form, hyperlink form and picture form. In addition, the knowledge collection submodule can also be used to flexibly layout the collected knowledge content to achieve rich editing of the document content. At the same time, the knowledge collection submodule can also support the knowledge template function, and users or managers can add or upload knowledge based on the template.

[0048] Here, after obtaining the knowledge items created by the knowledge acquisition submodule and the knowledge content corresponding to the knowledge items, the knowledge storage submodule stores them to form a knowledge base. Specifically, the knowledge collected by the knowledge acquisition submodule can be edited and set according to the three dimensions of knowledge template, knowledge version and knowledge authority; wherein the knowledge template is used to provide knowledge item creation options, including knowledge attributes, knowledge tags, knowledge expression forms, knowledge authority and knowledge association options; the knowledge version is used to provide current version information and historical version information; knowledge authority includes personnel authority and document authority; personnel authority includes maintainer authority and user authority; document authority includes viewing authority, download authority and copy authority.

[0049] Specifically, after editing and setting the knowledge collected by the knowledge collection submodule, it can be stored in a preset form; the preset forms include knowledge documents, knowledge encyclopedias, knowledge maps, and knowledge questions and answers. Among them, knowledge documents are stored in the form of knowledge summaries, knowledge texts, knowledge classifications, knowledge attributes, and knowledge attachments; knowledge encyclopedias are organized in the form of structured knowledge in the form of entries and chapter navigation, providing users with functions such as new entry, improvement, adding hyperlinks, related knowledge, and collaborative writing; knowledge maps are organized in the form of navigation maps to centrally and graphically display various types of knowledge, support custom map styles and related knowledge under each node, and provide map hotspot link embedding and storage; knowledge questions and answers organize and store structured knowledge in the form of questions and answers, and support question setting, mixed text and picture questions and supplementary questions, answers and best answers, and ending questions.

[0050] Exemplarily, the knowledge management submodule is used to manage the knowledge base stored in the knowledge storage submodule according to a preset method. The preset method may include: first, classify each knowledge item in the knowledge base stored in the knowledge storage submodule and the knowledge content corresponding to the knowledge item according to the professional type described in the content; then, according to the classification result of the professional type classification, and in combination with the knowledge classification category (method principle category, process procedure category, experience case category, standard and regulation category, and intelligence document category), determine the target category corresponding to each knowledge item; finally, assign each knowledge item and the knowledge content corresponding to the knowledge item to the knowledge sub-base corresponding to the target category; each knowledge sub-base is designed as a storage area divided according to the subject or professional field, which helps users quickly locate and access relevant knowledge resources when needed. In addition, each different sub-base can also be configured with different knowledge templates, and attributes, labels, permissions, processes, document templates, and knowledge associations can be freely defined.

[0051] In some other embodiments, the preset method may also include using automated tools or algorithms to enhance the efficiency of the knowledge management submodule in managing the knowledge base. For example, combining natural language processing technology to intelligently classify the knowledge content corresponding to each knowledge item in the knowledge base stored in the knowledge storage submodule, or using a machine learning model to identify and recommend related knowledge items, etc., which are not specifically limited here.

[0052] In some possible embodiments, the knowledge management submodule may also include some other modules with management functions, which can be specifically represented as a knowledge version management submodule, that is, when the version is upgraded and a new version is needed, the original knowledge entry can be locked and a new draft can be created. Only when the new version is released or the creation of the new version is revoked, can other people continue to revise the original knowledge; or, a knowledge template management submodule, that is, the addition, editing, deletion, and query of knowledge templates. The knowledge template may include attribute configuration, label configuration, permission configuration, process configuration, document template configuration, and knowledge association configuration; or, a knowledge classification management submodule, that is, setting the addition, editing, deletion, query, and multiple classification dimensions of knowledge classification; or, a process management submodule, that is, the addition, editing, deletion, and query of knowledge process templates; the process template includes basic process information, process direction, process node approval object, default approval language, process notification options, etc.; or other types of management submodules, which are not specifically limited here.

[0053] Specifically, the knowledge base application module includes a knowledge accompanying submodule, a knowledge searching submodule and a knowledge operation submodule.

[0054] Exemplarily, the knowledge companion submodule is used for knowledge companion perception, knowledge companion push and knowledge companion search of the collaborative R&D platform. It is a bridge between the knowledge base and the R&D task system, closely combining R&D knowledge with R&D business activities, and effectively solving the information island problem of knowledge engineering. Specifically, the knowledge companion perception module is used to display pre-configured important project information related to the R&D project on the R&D work interface, including project name, current project stage and project professional information, and can also include other project-related information such as responsible department, responsible person, and deliverable name. The knowledge companion push module is used to provide users with knowledge packages that are closely integrated with the above-mentioned R&D work scenarios, and push knowledge packages closely related to the current R&D project in real time on the R&D work interface through manual configuration or text algorithm configuration. Specifically, manual configuration involves team members defining the content of the knowledge package to be pushed, the scope of the push project and the push object on the R&D work interface according to project requirements. The relevant knowledge package push information can include specific project documents, professional literature in key areas or other valuable resources. Once the settings are completed, the system will automatically push the relevant knowledge package to the corresponding team members according to preset conditions, such as opening the interface or triggering a specific event, to ensure that they obtain the necessary information support at the appropriate time.

[0055] Secondly, the text algorithm configuration is that the system analyzes the data and information in the R&D work interface and uses specific algorithms (such as the BM25 algorithm) to identify keywords or contexts to determine the knowledge packages that are closely related to the current work content. The keywords and search conditions of these algorithm configurations are jointly defined and optimized by R&D personnel and the technical team to ensure that the system can accurately capture important information in the team's work. Once the appropriate knowledge package is identified, the system will automatically push it to the relevant team members to help them quickly obtain the necessary support and resources during the work process.

[0056] In this way, the knowledge push module can effectively integrate and apply project-related knowledge resources through the dual mechanisms of manual configuration and text algorithm configuration, providing immediate and accurate support to team members when needed, thereby promoting the smooth progress of the project and the optimal achievement of results.

[0057] Here, the knowledge accompanying search module is used to provide a floating search window, so that the user can conveniently use the search submodule to search for various information and resources related to the current R&D project in the R&D work interface, thereby improving work efficiency.

[0058] Specifically, the knowledge search submodule is designed to help users quickly obtain the knowledge and information they need. By performing a comprehensive search in the system's knowledge base and external related libraries based on the keywords provided by the user, first, the system's local knowledge base is queried, which mainly contains project documents, technical materials, and information resources shared by the team; if the local search fails to provide enough information, the system will automatically connect to external open source search engines or open source knowledge bases, which cover a wider range of topics and fields, providing users with more background knowledge and technical references. After synthesizing this information, the knowledge search submodule can sort the search results by relevance and display them to the user, so that the information needed to solve the problem or conduct further research can be quickly obtained.

[0059] At the same time, the search submodule can also recommend relevant search keywords based on the search box information entered by the user, and display them in the search box in real time. It can also perform basic search and graph search in the knowledge base and associated libraries based on the content of the search information, so as to more comprehensively meet the needs of users. Among them, basic search is used to search for keywords, search by title, text or attachment, automatic summary, highlight search terms, automatic word segmentation, and sort search results by time interval, relevance and chronological order. These functions are designed to help users locate the required information more quickly. Graph search uses the content of the knowledge graph database to perform entity matching and display functions. By combining the rich data of the graph database, users can more intuitively browse the relationships and background information between related entities, thereby gaining an in-depth understanding of the knowledge structure of a specific topic or field.

[0060] It is understandable that the knowledge search submodule is also used for search management, including search hot word management, search log management, word segmentation management, paging management, data source management and search analysis management. Among them, search hot word management is responsible for managing and updating the search hot words in the system, and usually dynamically adjusts the hot word list by collecting user search behavior data. This can help optimize functions such as recommended search keyword suggestions, search result ranking, and personalized recommendations, and improve user experience and search efficiency. Search log management is used to record and store user search behavior data, including search keywords, time, user information, etc. These data are very important for analyzing user behavior patterns, optimizing search algorithms, and improving system performance. In non-space-delimited languages ​​such as Chinese, word segmentation is the process of dividing continuous text into meaningful words. Word segmentation management is mainly responsible for processing the word segmentation of search words to ensure that the search system can correctly understand and process complex queries entered by users. At the same time, since search results are often displayed in pages, paging management is mainly responsible for reasonably dividing search results according to user query requests and system settings, and displaying appropriate paging links on the user interface so that users can browse and navigate search results. The data source management module is responsible for managing and maintaining various data sources used in the system. These data sources can include knowledge bases, data captured by web crawlers, etc. By effectively managing data sources, the search system can ensure the timeliness and accuracy of search results. Finally, search analysis management provides in-depth insights into search behavior and search result effects through statistics, analysis, and mining of search data. These analyses can help optimize search algorithms, improve user interface design, and develop more effective content recommendation strategies.

[0061] It is understandable that the knowledge operation submodule is specifically used to provide a personal center function, a knowledge homepage function and a knowledge statistics function, so as to realize the knowledge content operation mode of managing the knowledge base and record the usage data of the knowledge base. Among them, the personal center function is used to view personal knowledge base usage information, which may include information collection, information subscription, information browsing, personal comments, personal likes and personal messages; the knowledge homepage function is used to provide common function options, which may include personal knowledge navigation, knowledge classification navigation, knowledge recommendation and common tools, and may also include knowledge carousels, popular knowledge, latest knowledge, special knowledge, popular tags, knowledge trends, etc. The knowledge statistics function is used for knowledge base usage data statistics, knowledge base usage authority management, and knowledge base basic settings management. At the same time, the system proposed in the present disclosure also supports users to personalize the knowledge homepage through the knowledge operation module, and users can configure their personal system usage interface according to collaborative R&D needs.

[0062] Combine the following Figure 2 The method for using the knowledge base system for collaborative research and development of nuclear power proposed in the present disclosure is described in detail.

[0063] Reference Figure 2 As shown, when using the knowledge base system for nuclear power collaborative R&D proposed in the present disclosure, first, through the knowledge acquisition submodule, users can choose a variety of ways to create knowledge entries: including user system creation method, user system integration creation method, user R&D scenario accompanying creation method, and manager data import creation method. Next, the knowledge is edited in detail, covering the selection of knowledge forms (such as knowledge documents, knowledge encyclopedias, knowledge maps, and knowledge questions and answers), as well as the adjustment of knowledge templates, versions, and permissions. Secondly, after process approval, the prepared knowledge content is published to the knowledge system to achieve the prescribed use in the application scenario. In the application scenario, this process is mainly divided into three parts: collaborative R&D, knowledge learning, and knowledge application. In the collaborative R&D stage, the system can perceive the R&D business scenario and display pre-configured project information such as project name, stage, and professional information, which is equal to the R&D work interface. In addition, through the knowledge accompanying push and search functions, it helps to complete the R&D tasks, thereby improving the overall R&D efficiency. In the knowledge learning part, the knowledge base system provides rich functions, including knowledge reading and search, so that users can efficiently obtain the required professional knowledge. Finally, the knowledge operation submodule is used to manage the operation mode of the knowledge base content and record the usage data of the knowledge base to optimize and continuously improve the effectiveness and availability of knowledge resources.

[0064] The knowledge base system for nuclear power collaborative research and development provided in the embodiment of the present disclosure, first, through the knowledge acquisition submodule and the knowledge storage submodule, the system can efficiently collect and store rich knowledge content in the field of nuclear power, meet the needs of the research and development team for extensive and in-depth information; secondly, the knowledge management submodule ensures the systematic management of the knowledge base, thereby ensuring the accuracy and timeliness of the knowledge content, and providing reliable knowledge support for research and development activities; in terms of application, the knowledge accompanying submodule enables the research and development personnel to obtain the required knowledge in real time during the research and development process through the perception, push and search functions, effectively supporting the project progress and decision-making; at the same time, the knowledge search submodule provides the convenience of rapid retrieval of existing knowledge and related literature for the research and development personnel, saves the time of finding information, and improves the work efficiency and quality; finally, the use of the knowledge operation submodule further optimizes the operation mode of knowledge resources, and through data recording and analysis, helps the team understand the use and trend of knowledge, and provides an important reference for future research and development strategies. Therefore, this comprehensive knowledge base system not only meets the comprehensive needs of knowledge from collection, storage, management to application in the process of nuclear power collaborative research and development, but also can significantly improve the team's collaboration efficiency, innovation ability and the quality of scientific research results.

[0065] Those skilled in the art will appreciate that, in the above method of specific implementation, the order in which the steps are written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of the steps should be determined by their functions and possible internal logic.

[0066] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0067] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0068] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0069] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be based on the protection scope of the claims.

Claims

1. A knowledge base system for nuclear power collaborative research and development, characterized in that: It includes a knowledge base management module and a knowledge base application module; the knowledge base management module includes a knowledge acquisition submodule, a knowledge storage submodule and a knowledge management submodule; The knowledge base application module includes a knowledge accompanying submodule, a knowledge searching submodule and a knowledge operating submodule; The knowledge collection submodule is used to create knowledge items and collect knowledge content corresponding to the knowledge items; The knowledge storage submodule is used to store the knowledge items created by the knowledge acquisition submodule and the acquired knowledge contents corresponding to the knowledge items to form a knowledge base; The knowledge management submodule is used to manage the knowledge base stored in the knowledge storage submodule according to a preset method; The knowledge companion submodule is used to provide knowledge companion perception, knowledge companion push and knowledge companion search in the R&D environment; the knowledge search submodule is used to search for keywords in the knowledge base and the associated library; The knowledge operation submodule is used to manage the knowledge content operation mode of the knowledge base and record the usage data of the knowledge base.

2. The system according to claim 1, characterized in that The knowledge accompanying perception is used to display pre-configured project information about the R&D project on the R&D work interface; the project information includes project name, project stage and project professional information; The knowledge accompanying push is used to push the knowledge package related to the R&D project on the R&D work interface; the knowledge package is configured manually and / or by text algorithm; The knowledge accompanying search is used to provide a floating search window, so as to realize searching for information related to the R&D project by using the search submodule in the R&D work interface.

3. The system according to claim 2, characterized in that The search submodule is further used to recommend search keywords based on the search information in the search box, and display the search keywords in the search box of the search submodule; The search submodule is also used to perform basic search and / or graph search in the knowledge base and the association library according to the content of the search information.

4. The system according to claim 3, characterized in that The knowledge search submodule is also used for search management, including search hot word management, search log management, word segmentation management, paging management, data source management and search analysis management.

5. The system according to claim 1, characterized in that The knowledge acquisition submodule creates knowledge entries in the following ways: user system creation, user system integration creation, user R&D scenario accompanying creation, and manager data import creation; The user system creation method includes the user creating knowledge items through the knowledge acquisition submodule when the user is in a non-R&D state; The user system integration creation method includes the user acquiring knowledge content from multiple business systems integrated with the knowledge base system, and creating knowledge items according to the acquired knowledge content through the knowledge acquisition submodule; The user R&D scenario accompanying creation method includes: when the user is in the R&D work scenario and there is a need to create a knowledge item, in response to the need, the knowledge collection submodule pops up a knowledge item creation floating window on the R&D work interface to realize the creation of the knowledge item; The manager data import creation method includes the manager importing data in batches through the knowledge collection submodule to complete the creation of batch knowledge items and the collection of knowledge content corresponding to the knowledge items.

6. The system according to claim 5, characterized in that When the knowledge item is created, the expression form of the knowledge content corresponding to the knowledge item includes text form, table form, hyperlink form and picture form.

7. The system according to claim 5, characterized in that The knowledge storage submodule is also used to store the knowledge collected by the knowledge collection submodule in a preset form; the preset form includes knowledge documents, knowledge encyclopedias, knowledge maps and knowledge questions and answers.

8. The system according to claim 7, characterized in that Before storing the knowledge collected by the knowledge collection submodule in a preset form, the knowledge storage submodule is further used to edit and set the knowledge collected by the knowledge collection submodule according to the knowledge template, knowledge version and knowledge authority; The knowledge template is used to provide knowledge entry creation options, including knowledge attributes, knowledge tags, knowledge expression forms, knowledge permissions, and knowledge association options; The knowledge version is used to provide current version information and historical version information; The knowledge rights include personnel rights and document rights; the personnel rights include maintainer rights and user rights; the document rights include view rights, download rights and copy rights.

9. The system according to claim 1, characterized in that The knowledge management submodule is also used to: classify each knowledge item in the knowledge base stored in the knowledge storage submodule and the knowledge content corresponding to the knowledge item according to professional type; and according to the knowledge classification category, determine the target category of each knowledge content corresponding to the knowledge item based on the classification result of professional type classification, and assign each knowledge item and the knowledge content corresponding to the knowledge item to the knowledge subbase corresponding to the target category; the knowledge classification categories include method principle category, process procedure category, experience case category, standard regulation category and intelligence document category.

10. The system according to claim 1, characterized in that The knowledge operation submodule is specifically used to provide a personal center function, a knowledge homepage function and a knowledge statistics function; The personal center function is used to view personal knowledge base usage information; the personal knowledge base usage information includes information collection, information subscription, information browsing, personal comments, personal likes and personal messages; The knowledge homepage function is used to provide commonly used function options; the commonly used function options include personal knowledge navigation, knowledge classification navigation, knowledge recommendation and commonly used tools; The knowledge statistics function is used for knowledge base usage data statistics, knowledge base usage authority management, and knowledge base basic settings management.

Images