From the perspective of knowledge management, the application scenarios of knowledge graphs include the following:
Intelligent knowledge base: using technologies such as data crawlers, NLP, and knowledge graphs to realize enterprise knowledge content Automatic collection and automatic processing and sorting help enterprises save costs, thereby making it easier for enterprises to quickly start knowledge management work from 0-1;
Technology Resource Map: Centered on professional knowledge ontology, it realizes enterprise-related patents, papers, Integrated management of knowledge resources such as results and standards can provide support for cross-type discovery of scientific and technological information associations, semantic retrieval of scientific and technological information, and technical decision-making analysis.
Product knowledge map: Open up R&D, manufacturing, marketing and other links to achieve a full view of product life cycle data & information & knowledge, product information query, product version timing traceability, etc., and can provide product raw materials Mining, R&D cost calculation, product selling point extraction, etc. provide decision-making basis.
Solution map: helps solution-based enterprises realize FABE structured knowledge descriptions of the characteristics (F), advantages (A), benefits (B) and evidence (E) of each solution, and dynamically correlate them Information about experts, projects, customers and other information related to the plan can provide support for improving the sales empowerment effect of the company's product plans and increasing the project bid winning rate.
Project knowledge graph: realizes the integrated management of basic project attributes, project phase results, and project-related information (such as contracts, personnel, customers, performance, etc.), and builds a system that integrates project structured and unstructured data. The integrated "project household registration book" application can provide support for enterprise project asset management, recommendation and reuse of project knowledge results, etc.
Equipment maintenance map: For equipment health scenarios, an equipment maintenance map is constructed through various data such as equipment faults, family defects, fault cases, and defect records. Taking transformers as an example, the equipment maintenance map forms a unified management knowledge base based on equipment, components, faults, quality analysis reports, fault events and other data, providing equipment managers with query functions such as family defect information and equipment faults, and providing equipment maintenance personnel with Similar case recommendations, equipment processing suggestions and other functions also support visual analysis of the impact scope of defects.
Process knowledge map: Based on the five elements of man-machine, material, method and environment, it realizes data integration of process, process raw materials, process flow, process defects, process equipment, related personnel, etc., and can provide users with process knowledge retrieval, process Panoramic display, process control and other applications. For example, in process control, the implementers can conduct feasibility testing on the designers' process designs to reduce unreasonable designs and avoid later rework, thereby achieving the effect of collaborative process improvement and assisting process design.