A solid rocket engine knowledge management design method and management method

Abstract

The present invention provides a solid rocket engine knowledge management method, which is aimed at the management of various forms of design knowledge of solid rocket engines. A professional knowledge base platform is used to uniformly classify, store and manage engine design knowledge to form a design knowledge base suitable for solid rocket engines. A knowledge engineering application paradigm covering engine knowledge acquisition, knowledge sharing, knowledge application, and standardized management of software tools is constructed to achieve rapid query, automatic push and other applications of engine design knowledge. The solid rocket engine knowledge management method includes research on engine design knowledge system, research on design knowledge acquisition methods, research on design knowledge base construction, and research on knowledge application based on knowledge engineering. The present invention solidifies the content related to model development and forms a unified engine design knowledge system, and promotes engine knowledge management and control clearly, orderly and continuously through knowledge acquisition, knowledge automation application technology and knowledge management methods.

Description

Technical Field

[0001] The present invention relates to the field of engineering technology research, and in particular to a solid rocket engine knowledge management system and method. Background Art

[0002] Knowledge engineering is widely used in engineering manufacturing because of its standardization and conceptualization of industry knowledge and clear specification. In the past decade, my country's research on knowledge engineering in theoretical research and technical methods mainly includes: knowledge acquisition, knowledge base, intelligent system, knowledge management, etc., and the application research involves multidisciplinary fields such as computer, mechanical engineering, books and digital libraries, aerospace science and technology. At the same time as the concept was proposed, it also established that knowledge engineering is mainly supported by knowledge acquisition, knowledge representation, and knowledge application. The construction of knowledge engineering mainly includes research on knowledge system, knowledge acquisition method, knowledge base construction method, knowledge application, etc.

[0003] In terms of solid rocket engine knowledge management, some research and applications related to knowledge engineering have been carried out, but they are basically concentrated in the theoretical research of pre-research topics, and there are few results on how to implement knowledge engineering in the field of engine research and development. The existing technology has a large amount of expert design experience and mature design data scattered, and has not formed a relatively fixed and relatable knowledge relationship or design knowledge system, which is difficult to manage effectively. Summary of the invention

[0004] Based on the above technical problems, the present invention proposes a solid rocket engine knowledge management design method and management method to solve the problems of existing engine knowledge application design, such as scattered knowledge storage, lack of relatively fixed associable knowledge relationships or design knowledge system and knowledge reuse, and low application level.

[0005] In order to solve the above-mentioned technical problems, one of the purposes of the present invention is to provide a solid rocket engine knowledge management design method. In combination with the actual development of solid rocket engines, the solid rocket engine design and development process is summarized and analyzed, the content related to model development is solidified and the core features are extracted to form a solid engine design knowledge classification system. Based on the engine development platform, a design knowledge framework and a knowledge base of the corresponding level are constructed according to the knowledge classification system to realize rapid query, automatic push and other application research of engine design knowledge.

[0006] Based on the same inventive concept, the present invention also provides a solid rocket engine knowledge management method, the method comprising:

[0007] The research on the engine design knowledge system takes the R&D process as the main line and the knowledge form and knowledge content as the auxiliary lines, and conducts a three-stage division of "work task-knowledge form-knowledge content" to form a solid rocket engine knowledge classification system. The engine design knowledge system starts from the source of knowledge, the classification and framework of the knowledge base, the knowledge extraction rules or the core fields of the ontology and the knowledge application method.

[0008] Research on design knowledge collection methods, by sorting out the sources of design knowledge, collecting according to the principle of combining "automatic collection and manual collection", integrating existing knowledge sources, and collecting new knowledge by establishing a collection and accumulation process:

[0009] Research on the construction of design knowledge base. The construction of knowledge base needs to meet the storage and management needs of solid rocket engine design knowledge, support engine design work and professional research, and construct the framework of engine design knowledge base according to the knowledge system. On the basis of knowledge classification, the knowledge characteristics of each knowledge form contained in the knowledge content are described. At the same time, according to the actual needs of the project, the knowledge extraction rules and knowledge core fields of the corresponding knowledge base are formulated, and then the knowledge base of the corresponding level is constructed downward.

[0010] The research on knowledge application of knowledge engineering adds basic "intelligent" application functions to engine knowledge engineering applications through algorithms, correlation analysis, automatic knowledge push and knowledge graphs, retains the original way of actively acquiring knowledge, and adds a variety of application modes, including automatic push of related knowledge, scenario associations and knowledge relationships, opening up channels for active delivery of knowledge to users, and the interaction between people and knowledge becomes two-way.

[0011] Furthermore, the knowledge sources include databases, system platforms, internal resource websites and employees' work computers.

[0012] Furthermore, the database includes a material library and various model libraries; the system includes a PDM information system and various internal resource websites; the employee's work computer contains important business data, achievements, and personal work summaries, papers and works collected by individuals.

[0013] Furthermore, the engine knowledge base structure includes a document knowledge base, a formula knowledge base, a parameter knowledge base, a method knowledge base, a process knowledge base, a template knowledge base, a material knowledge base and a model knowledge base.

[0014] Furthermore, the knowledge push includes:

[0015] 1) Knowledge push based on designer behavior

[0016] According to the designer's behavior of viewing and searching for design knowledge, the learning algorithm is used to analyze the static information ontology, and the designer user model is built according to the object, behavior, time, location and content information. The knowledge of interest is automatically pushed to the designer according to the user model.

[0017] 2) Knowledge association and push based on engine R&D activities

[0018] According to the keywords or parameters of engine R&D activities, when associating relevant knowledge, engine-related knowledge is pushed according to the keywords of R&D activities, thereby reducing the time designers spend searching and acquiring knowledge and improving R&D efficiency.

[0019] 3) Knowledge push based on the relationship between engine knowledge

[0020] After the designer searches for a piece of knowledge in the system, the platform will automatically "associate and match" the corresponding relevant knowledge for each piece of knowledge based on the design process tracing, keyword matching, search frequency and designer usage frequency through the built-in algorithm. After entering each design knowledge details page, there will be related knowledge association matches.

[0021] Furthermore, the contents of the document knowledge base, method knowledge base, process knowledge base, template knowledge base and model knowledge base are mainly documents, models, and unstructured data in fixed formats, and are stored and managed in the form of unstructured data.

[0022] Furthermore, the contents of the material knowledge base, formula knowledge base and parameter knowledge base are mainly structured data and forms, and are stored and managed in the form of structured data. At the same time, this type of database will have parameterized features such as batch import, export, and batch modification of data.

[0023] Furthermore, the specific steps of constructing the engine design knowledge base are:

[0024] 1) During the construction of the primary knowledge base, after clicking Create a new knowledge base, you need to enter the content of the knowledge base, including the name of the knowledge base, the department to which the knowledge base belongs, a brief description of the knowledge base content, and an icon.

[0025] 2) The process of building the secondary and lower knowledge bases, the directory management and setting module is to configure the secondary and lower knowledge bases of the knowledge base, set the knowledge directory according to the knowledge classification, and can add, delete, view and modify the knowledge directory.

[0026] Furthermore, the knowledge docking method of the knowledge source includes:

[0027] Database direct connection, remote direct access to the target database, support direct reading of database type information such as SqlServer, MySQL, Oracle, etc.

[0028] Interface acquisition, establish the interface program between the lean R&D platform and the information system, and obtain the corresponding information or file address information in the information system through the interface:

[0029] Link collection, obtain the URL link address of the corresponding knowledge information in the resource website, and store the URL link address of the corresponding knowledge information

[0030] Upload locally, classify the documents, design files, models and experiences collected by individuals according to the corresponding classification sections and tags. After the classification is completed, fill in the knowledge name, content and confidentiality level according to the corresponding knowledge template, and upload it after confirming that the filling is correct.

[0031] The above one or more technical solutions of the present invention have at least one or more of the following technical effects:

[0032] The present invention can construct an engine design knowledge system and realize the solid rocket engine design knowledge sharing, reuse and design technology inheritance.

[0033] The content related to model development is solidified to form a unified engine design knowledge system, and engine knowledge management is promoted clearly, orderly and continuously through knowledge collection, knowledge automation application technology and knowledge management methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 :Solid rocket design knowledge engineering construction flow chart

[0035] Figure 2 :Engineering system construction flow chartω

[0036] Figure 3 : Engine design knowledge base framework

[0037] Figure 4 : Create a new first-level knowledge base;

[0038] Figure 5 :Contents of the first-level knowledge base

[0039] Figure 6 : Create a second-level and lower knowledge base. Specific implementation plan

[0040] The present invention proposes a solid rocket engine knowledge management method, which is mainly aimed at the management of various forms of design knowledge of solid rocket engines. A professional knowledge base platform is used to uniformly classify, store, and manage engine design knowledge to form a design knowledge base suitable for solid rocket engines. A knowledge engineering application paradigm covering engine knowledge acquisition, knowledge sharing, knowledge application, and standardized management of software tools is constructed to achieve rapid query, automatic push, and other applications of engine design knowledge. In summary, the solid rocket engine knowledge management method mainly includes four aspects: research on engine design knowledge system, research on design knowledge acquisition methods, research on design knowledge base construction, and research on knowledge application based on knowledge engineering.

[0041] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in combination with the embodiments of the present invention and the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the obtained embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0042] The present invention proposes a solid rocket engine knowledge management method. Combined with the actual development of solid rocket engines, the solid rocket engine design and development process is summarized and analyzed, and various processes, parameters, methods, formulas and other contents related to model development are solidified and core features are extracted to form a solid engine design knowledge classification system. Based on a certain engine development platform, a design knowledge framework and a knowledge base of corresponding levels are constructed according to the knowledge classification system. On this basis, rapid query, automatic push and other application research of engine design knowledge are realized. The solid engine design knowledge engineering construction flow chart is as follows: Figure 1 shown.

[0043] (I) According to the actual development of solid rocket engines, the research on the design knowledge system takes the R&D process as the main line. Through the sorting out of the R&D process, it is found that the R&D process includes the overall design of solid rocket engines, combustion chamber design, shell design, ignition device design, etc., and many detailed work tasks are divided down in each process. According to these design tasks, the input and output of each design work can be sorted out, that is, the knowledge involved and the output knowledge, the explicit knowledge can be sorted out, the implicit knowledge can be mined, and the discrete knowledge can be collected. Further, it can be distinguished in what form the knowledge involved and the output knowledge exist, forming a list of solid rocket engine design knowledge content. On the basis of the knowledge list of the engine R&D process, the knowledge form is used as the category for sorting and summarizing, forming a unique solid rocket engine knowledge classification system. The design knowledge is divided into 9 types: document knowledge, formula knowledge, parameter knowledge, method knowledge, process knowledge, template knowledge, material knowledge, model knowledge and other knowledge. Build a knowledge base on the platform and store the existing knowledge. In order to effectively manage the knowledge, knowledge tags need to be added to the knowledge when entering the database for the subsequent application of the knowledge.

[0044] Taking the R&D process as the main line and the knowledge form and knowledge content as the auxiliary lines, a three-stage division of "work task-knowledge form-knowledge content" is carried out to form a solid rocket engine knowledge classification system. The engineering system construction flow chart is as follows: Figure 2 The engine design knowledge system works from the aspects of the source of knowledge, the classification and framework of the knowledge base, the knowledge extraction rules or core fields of the ontology, and the knowledge application methods.

[0045] (II) In terms of knowledge collection, through the sorting out of the sources of design knowledge, the current knowledge sources include four categories, namely databases, system platforms, internal resource websites and employee work computers. The database includes material libraries, various model libraries, etc.; the system includes information systems such as PDM; various internal resource websites; employee work computers contain important business data, achievements, and personal work summaries, papers, works and other knowledge collected by individuals. Among them, databases, system platforms, and internal resource websites can be obtained automatically, and the knowledge in employee work computers needs to be uploaded manually. Design knowledge collection is carried out according to the principle of combining "automatic collection and manual collection". Existing knowledge sources are integrated, and new knowledge is collected by establishing a collection and accumulation process.

[0046] According to the above sources of knowledge, the knowledge docking methods are summarized as direct database connection, interface collection, link collection, and local upload. Direct database connection: remote direct access to the target database, support direct reading of information of database types such as SqlServer, MySQL, Oracle, etc.; Interface collection: establish an interface program between the lean R&D platform and the information system, and obtain the corresponding information or file address information in the information system through the interface; Link collection: obtain the URL link address of the corresponding knowledge information in the resource website, and store the URL link address of the corresponding knowledge information; Local upload: classify the documents, design files, models, experiences, etc. collected by individuals according to the corresponding classification sections and tags. After the classification is completed, fill in the knowledge name, content, confidentiality level, etc. according to the corresponding knowledge template, and upload it after confirming that the filling is correct.

[0047] (III) The construction of the knowledge base needs to meet the storage and management needs of solid rocket engine design knowledge, and be able to support engine design work and professional research. The framework of the engine design knowledge base is constructed according to the knowledge system. The engine knowledge base structure includes 9 types of knowledge bases: document knowledge base, formula knowledge base, parameter knowledge base, method knowledge base, process knowledge base, template knowledge base, material knowledge base, model knowledge base and other knowledge bases. The framework of the engine design knowledge base is as follows: Figure 3 As shown in the figure. Based on the knowledge classification, the knowledge characteristics of each knowledge form contained in the knowledge content are described. At the same time, according to the actual needs of the project, the knowledge extraction rules and knowledge core fields of the corresponding knowledge base are formulated, and then the knowledge base of the corresponding level is constructed downward.

[0048] The contents of document knowledge base, method knowledge base, process knowledge base, template knowledge base, and model knowledge base are mainly documents, models, and fixed-format unstructured data, and are stored and managed in the form of unstructured data. Taking process knowledge as an example, the main content stored in this knowledge base is the design process of various engine specialties, which is divided according to engine specialties, calculation processes, etc. The core fields include basic attributes (attachments, names, time, descriptions, etc.), data (input parameter lists, output parameter lists, etc.), components, component processes, etc., among which components and component processes are stored in component format.

[0049] The contents of the material knowledge base, formula knowledge base, and parameter knowledge base are mainly structured data and forms, and are stored and managed in the form of structured data. At the same time, this type of database will have parameterized features such as batch import, export, and batch modification of data. Taking the engine spectrum in the parameter knowledge base as an example, the main content stored in this knowledge base is the basic parameters of the engine as a whole, which are divided according to the engine diameter, type, field, and purpose. The core fields include the main information of the engine (purpose, model, missile model, etc.), main structure (propellant, shell, insurance mechanism, number of nozzles, etc.), main performance parameters (total length, total mass, effective working time, specific impulse, etc.), engine thrust time curve, engine pressure time curve, etc.

[0050] a) Parameter knowledge base. The contents of the parameter knowledge base are the design parameters used in the engine development process. The main contents include engine professional design parameters (overall, combustion chamber, nozzle, casing, safe ignition), terminology, engine basic parameters, etc.

[0051] b) Formula knowledge base. The contents of the formula knowledge base are the design formulas used in the engine development process. The main contents include the professional design formulas of the engine (overall, combustion chamber, nozzle, casing, safe ignition), etc.

[0052] c) Method knowledge base. The content of the method knowledge base is various methods accumulated and summarized in the process of engine development. The main contents include tool use methods and manuals, tool use cases, engine (component) design methods, special R&D process experience methods, etc.

[0053] d) Model knowledge base. The contents of the model knowledge base are various models accumulated during the engine development process. The main contents include engine design models (demand models, functional models, product models, engineering models, manufacturing models, implementation models), mathematical models, management models, and other models.

[0054] e) Template knowledge base. The contents of the template knowledge base are various work templates accumulated during the engine development process, mainly including report templates, process setting templates, typical design case templates, etc.

[0055] f) Process knowledge base. The contents of the process knowledge base are various management and technical processes solidified in the engine development process, mainly including standardized design processes, standardized management processes (planning management, technical status management, quality management, supply chain management), typical simulation process flows, etc.

[0056] g) Material knowledge base. The content in the material knowledge base is the various material parameters used in the engine development process, including public material parameters, proprietary material parameters, etc.

[0057] h) Document knowledge base. Document knowledge base is the most frequently used and largest type of knowledge in the 41st Institute. According to the feedback and summary of each department, the current document knowledge is divided into standards and specifications, papers, patents, management regulations, quality cases (including failure cases, learning from one example, etc.), technical consultation, expert opinions, etc.

[0058] i) Other knowledge bases. The contents of other knowledge bases are various materials uploaded by individuals and departments.

[0059] The process of building an engine design knowledge base based on a lean R&D platform is divided into two steps: the first step is to build a primary knowledge base. Figure 4 It shows a new first-level knowledge base. After clicking on the new knowledge base, you need to enter Figure 5 The content of the knowledge base shown includes the name of the knowledge base, the department to which the knowledge base belongs, a brief description of the knowledge base content and an icon; the construction process of the second-level and lower knowledge bases is as follows Figure 6 , Figure 6 The directory management and settings module in the lower left corner is used to configure the secondary and subordinate knowledge bases of the knowledge base. The knowledge directory is set according to the knowledge classification, and the knowledge directory can be added, deleted, viewed and modified.

[0060] The release of knowledge is subject to approval. The knowledge release approval process includes three levels, including individual-level (visible only to individuals), department-level (visible only to departments), and institute-level (visible to all institutes) approval.

[0061] The visible scope of the knowledge is determined by the individual or department that uploads the knowledge. The available scopes include the entire institute, a department, a combination of departments, or an individual.

[0062] The business department will apply for the specific knowledge base template. After approval, the platform system administrator will uniformly build the knowledge base template and upload it to take effect.

[0063] The platform supports the function of collecting and exporting data on the number of knowledge uploads, views, likes, downloads, and other operations. The relevant operations are performed by the platform system administrator (subsequent relevant permissions can be granted to the administrator of the corresponding module).

[0064] Due to the large amount of design knowledge, the variety of types and related confidentiality requirements, different types of knowledge need different management requirements. Therefore, the management is carried out in the form of "one type of knowledge base, one management method", and the management rules / requirements of each type of knowledge are separately released to carry out the application of knowledge types / libraries. New knowledge base categories need to be applied to the management department, and can only be added after approval; new knowledge must be added to the library using the corresponding knowledge template in the R&D platform, and uploaded to the corresponding node of the corresponding knowledge base according to the content and form of the knowledge.

[0065] (IV) The research on knowledge application based on knowledge engineering is an exploratory research content, which provides a reference for the subsequent application of engine knowledge engineering. It is now planned to add basic "intelligent" application functions to the application of engine knowledge engineering through algorithms, correlation analysis, automatic knowledge push, knowledge graphs and other technologies to break the single application relationship of traditional knowledge. The addition of knowledge application functions can not only allow designers to retain the original way of actively acquiring knowledge, but also add multiple application modes such as automatic push of related knowledge, scene association, knowledge relationship, etc., open up the channel for active transmission of knowledge to users, and make the interaction between personnel and knowledge become two-way, which greatly enriches the use scenarios of knowledge, ensures the activeness of designers and improves the utilization rate of knowledge.

[0066] Knowledge push will include three methods: the first is knowledge push based on designer behavior (user model), the second is knowledge association and push based on engine R&D activities, and the third is knowledge push based on the relationship between engine knowledge.

[0067] 1) Knowledge push based on designer behavior

[0068] Based on the designer's behavior of viewing and searching for design knowledge, the learning algorithm is used to analyze the static information ontology, and the designer user model is built based on the object, behavior, time, location, content and other information. The knowledge of interest is automatically pushed to the designer based on the user model. Recommended knowledge can be viewed on the knowledge engineering homepage and work item knowledge reference page of each designer.

[0069] 2) Knowledge association and push based on engine R&D activities

[0070] According to the keywords or parameters of engine R&D activities (such as XX plan, XX report, etc.), when associating related knowledge, engine-related knowledge is pushed according to the keywords of the R&D activities, thereby reducing the time designers spend searching and acquiring knowledge and improving R&D efficiency.

[0071] 3) Knowledge push based on the relationship between engine knowledge

[0072] After the designer searches for a piece of knowledge in the system, the platform will automatically "associate and match" the corresponding relevant knowledge for each piece of knowledge based on the design process tracing, keyword matching, search frequency and designer usage frequency through the built-in algorithm. After entering each design knowledge details page, there will be related knowledge association matches.

[0073] This method has been used to manage solid rocket engine knowledge based on the lean R&D platform, and has achieved relatively ideal management results. In view of the knowledge used in the solid engine design process, a large amount of engine design knowledge and design experience have been sorted out, and basic data such as design simulation, storage, and testing have been put online. At present, solid rocket engines explore the solid rocket engine knowledge management model based on the lean R&D platform, and summarize a solid rocket engine knowledge management method to give full play to the due value of design knowledge and improve the reuse and application efficiency of solid rocket engine knowledge. It will lay the foundation for the inheritance and development of solid rocket engine design knowledge and has long-term strategic significance.

[0074] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present invention without departing from the spirit and scope of the embodiments of the present invention. Thus, if these modifications and variations of the embodiments of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A solid rocket engine knowledge management design method, characterized in that: Combined with the actual development of solid rocket engines, the design and development process of solid rocket engines was summarized and analyzed, the content related to model development was solidified and the core features were extracted to form a solid engine design knowledge classification system. Based on the engine research and development platform, a design knowledge framework and a knowledge base of corresponding levels were constructed according to the knowledge classification system to achieve rapid query, automatic push and other application research of engine design knowledge.

2. The management method for solid rocket engine knowledge management design according to claim 1, characterized in that: The method comprises: The research on the engine design knowledge system takes the R&D process as the main line and the knowledge form and knowledge content as the auxiliary lines, and divides the three stages of "work tasks - knowledge form - knowledge content" to form a solid rocket engine knowledge classification system. The engine design knowledge system carries out work from the source of knowledge, the classification and framework of the knowledge base, the knowledge extraction rules or the core fields of the ontology and the knowledge application methods; Research on the method of collecting design knowledge, by sorting out the sources of design knowledge, collecting according to the principle of combining "automatic collection and manual collection", integrating the existing knowledge sources, and collecting new knowledge by establishing the collection and accumulation process; Research on the construction of the design knowledge base. The construction of the knowledge base needs to meet the storage and management needs of solid rocket engine design knowledge, support engine design work and professional research, and construct the framework of the engine design knowledge base according to the knowledge system. On the basis of knowledge classification, the knowledge characteristics of each knowledge form contained in the knowledge content are described. At the same time, according to the actual needs of the project, the knowledge extraction rules and knowledge core fields of the corresponding knowledge base are formulated, and then the knowledge base of the corresponding level is constructed downward; The research on knowledge application of knowledge engineering adds basic "intelligent" application functions to engine knowledge engineering applications through algorithms, correlation analysis, automatic knowledge push and knowledge graphs, retains the original way of actively acquiring knowledge, and adds a variety of application modes, including automatic push of related knowledge, scenario associations and knowledge relationships, opening up channels for active delivery of knowledge to users, and making the interaction between people and knowledge a two-way process.

3. The solid rocket engine knowledge management method according to claim 2, characterized in that: The knowledge sources include databases, system platforms, internal resource websites and employees' work computers.

4. The solid rocket engine knowledge management method according to claim 3, characterized in that: The database includes a material library and various model libraries; the system includes a PDM information system and various internal resource websites; and the employee's work computer contains important business data, achievements, and personal work summaries, papers, and works collected by individuals.

5. The solid rocket engine knowledge management method according to claim 2, characterized in that: The engine knowledge base structure includes a document knowledge base, a formula knowledge base, a parameter knowledge base, a method knowledge base, a process knowledge base, a template knowledge base, a material knowledge base and a model knowledge base.

6. The solid rocket engine knowledge management method according to claim 2, characterized in that: The knowledge push includes: 1) Knowledge push based on designer behavior Based on the designer's behavior of viewing and searching for design knowledge, the learning algorithm is used to analyze the static information ontology, and the designer user model is built based on the object, behavior, time, location and content information. The knowledge of interest is automatically pushed to the designer based on the user model; 2) Knowledge association and push based on engine R&D activities According to the keywords or parameters of engine R&D activities, when associating relevant knowledge, engine-related knowledge is pushed according to the keywords of R&D activities, thereby reducing the time designers spend searching and acquiring knowledge and improving R&D efficiency; 3) Knowledge push based on the relationship between engine knowledge After the designer searches for a piece of knowledge in the system, the platform will automatically "associate and match" the corresponding relevant knowledge for each piece of knowledge based on the design process tracing, keyword matching, search frequency and designer usage frequency through the built-in algorithm. After entering the details page of each design knowledge, there will be related knowledge association matches.

7. The solid rocket engine knowledge management method according to claim 5, characterized in that: The contents of the document knowledge base, method knowledge base, process knowledge base, template knowledge base and model knowledge base are mainly documents, models, and unstructured data in fixed formats, and are stored and managed in the form of unstructured data.

8. The solid rocket engine knowledge management method according to claim 5, characterized in that: The contents of the material knowledge base, formula knowledge base and parameter knowledge base are mainly structured data and forms, and are stored and managed in the form of structured data. At the same time, this type of database will have parameterized features such as batch import, export, and batch modification of data.

9. The solid rocket engine knowledge management method according to claim 2, characterized in that: The specific steps of constructing the engine design knowledge base are: 1) During the construction of the primary knowledge base, after clicking Create a new knowledge base, you need to enter the content of the knowledge base, including the name of the knowledge base, the department to which the knowledge base belongs, a brief description of the knowledge base content, and an icon; 2) The process of building the secondary and lower knowledge bases, the directory management and setting module is to configure the secondary and lower knowledge bases of the knowledge base, set the knowledge directory according to the knowledge classification, and can add, delete, view and modify the knowledge directory.

10. The solid rocket engine knowledge management system according to claim 2, characterized in that: The knowledge docking method of the knowledge source includes: Database direct connection, remote direct access to the target database, support direct reading of database type information such as SqlServer, MySQL, Oracle, etc. Interface acquisition: establish the interface program between the lean R&D platform and the information system, and obtain the corresponding information or file address information in the information system through the interface; Link collection, obtaining the URL link address of the corresponding knowledge information in the resource website, and storing the URL link address of the corresponding knowledge information; Upload locally, classify the documents, design files, models and experiences collected by individuals according to the corresponding classification sections and tags. After the classification is completed, fill in the knowledge name, content and confidentiality level according to the corresponding knowledge template, and upload it after confirming that the filling is correct.

Images