Intelligent knowledge base: adopting data crawler, NLP, knowledge map and other technologies to realize the automatic collection and processing of enterprise knowledge content, help enterprises save costs, and thus facilitate enterprises to quickly start knowledge management from 0- 1;
Atlas of scientific and technological resources: With professional knowledge ontology as the core, the integrated management of enterprise-related patents, papers, achievements, standards and other knowledge resources can provide support for cross-type discovery of scientific and technological information association, semantic retrieval of scientific and technological information, and technical decision analysis.
Product knowledge & get through R&D, manufacturing, marketing and other links to realize the dataization of product life cycle & information and panoramic display of knowledge, product information query, product version time series traceability and so on. And it can provide decision-making basis for product raw material mining, R&D cost calculation and product selling point refining.
Solution Map: It helps solution-oriented enterprises to realize the FABE structured knowledge description of the features (f), advantages (a), benefits (b) and evidence (e) of each solution, and dynamically associate the experts, projects, customers and other information related to the solution, which can provide support for improving the sales empowerment effect of the company's product solutions and improving the project winning rate.
Project knowledge map: realize the integrated management of project basic attributes, project stage achievements and project-related information (such as contracts, personnel, customers, performance, etc.). ), and build a "project ledger" application that integrates structured and unstructured data of projects, which can provide support for enterprise project asset management, project knowledge achievement recommendation and reuse.
Equipment maintenance chart: according to the equipment health scene, the equipment maintenance chart is constructed through various data such as equipment faults, family defects, fault cases and defect records. For example, taking the transformer as an example, the equipment maintenance chart forms a unified management knowledge base based on the data of equipment, components, faults, quality analysis reports, fault events, etc., which provides the inquiry function of family defect information and equipment faults for equipment managers, provides similar case recommendations and equipment treatment suggestions for equipment maintenance personnel, and supports the visual analysis of defect influence range.
Process knowledge map: Based on the five elements of man-machine method, the data fusion of process, process raw materials, process flow, process defects, process equipment and related personnel can be realized, which can provide users with applications such as process knowledge retrieval, process panoramic display and process flow control. For example, in the process flow control, the implementer can test the feasibility of the designer's process design, so as to reduce unreasonable design and avoid late rework, and then achieve the effect of process collaborative improvement and auxiliary process design.