6 results about "TRIZ" patented technology

An integrated system for generating innovative solutions is disclosed. The system comprises a literature review AI agent, a knowledge graph, and a TRIZ Module. The AI agent continuously analyzes diverse information sources, feeding data into the knowledge graph. The knowledge graph organizes and connects information, identifying patterns and relationships. The TRIZ Module interacts with both components to identify contradictions and generate innovative solutions. This system accelerates innovation by processing vast amounts of information, recognizing cross-disciplinary patterns, and applying systematic problem-solving techniques.

The application discloses a kind of elbow pipe data format YBC to XYZ conversion method, comprising: inserting data at YBC data set head end;Elbow pipe is divided into straight section and curved section, and is equivalent to mechanical arm structure;YBC data is converted into D-H parameter data;Data is handled based on mechanical arm connecting rod transformation matrix;Extract XYZ data.The method of the present application, based on the segmentation principle and local geometric characteristics of TRIZ theory, the straight section and curved section of elbow pipe are segmented, and are equivalent to the connecting rod and joint of mechanical arm;According to the geometric structure and processing principle of elbow pipe, the similarity and particularity of elbow pipe structure relative to mechanical arm structure are analyzed, and the conversion algorithm from elbow pipe processing data to D-H parameter data is designed;Based on the theory of mechanical arm connecting rod transformation, a conversion algorithm from YBC data format to XYZ data format is proposed.The method can be used in flexible assembly, elbow pipe reverse modeling and other application scenarios.

This invention discloses a collaborative optimization design method for bearing systems based on TRIZ theory, belonging to the field of mechanical design and innovation methods. First, based on the optimization requirements of the bearing system performance, this invention establishes a three-level functional model of supersystem-system-subsystem and identifies key problem clusters. The functional model includes at least one of the following: useful functions, harmful functions, insufficient functions, and excessive functions. Then, based on the three-level functional model, contradiction solutions and resource analysis are performed at the component level, system level, and supersystem level to obtain contradiction solutions. Subsequently, a matter-field model is constructed and solved, and the TRIZ evolutionary law is applied to guide system reconstruction to obtain a system evolution scheme. Finally, the contradiction solutions and the system evolution scheme are cross-integrated and their feasibility is evaluated to generate an innovative conceptual design scheme for the bearing system. This invention effectively solves the problems of existing technologies being limited to single problems and isolated components.

The invention discloses an embedded path evolution tracking system and an implementation method thereof, and aims to solve the technical problems of incomplete path record, difficulty in problem positioning and insufficient experience inheritance in innovation process management. The system is embedded in innovation platforms such as DIKWP-TRIZ and comprises a path data acquisition module, a log storage module, an organization visualization module, a path analysis module, an improvement suggestion module and a learning optimization module. Key events such as cognitive engine reasoning jump, TRIZ principle application and user decision are intercepted in real time, standardized path units are generated and stored according to a time sequence, and a multi-level evolution path chain and a visual network diagram are constructed. The path analysis module can diagnose and infer breaking points and unresolved contradictions, the improvement suggestion module prompts introduction of new knowledge or adjustment strategies according to the contradictions, and the learning optimization module dynamically optimizes a scheduling algorithm based on a historical data training model. According to the method, full-path transparent recording and intelligent analysis of the innovation process are achieved, efficient redisk, accurate problem positioning and strategy optimization are supported, the innovation success rate and knowledge management efficiency are remarkably improved, and the method is suitable for the fields of research and development management, patent mining and the like.

The invention discloses a multi-agent collaborative TRIZ contradiction matrix construction method fused with a DIKWP model, relates to an artificial intelligence technology, and provides a scheme for solving the problems that a closed loop is difficult to form and the like in the prior art. The method comprises the following steps of: constructing a processing assembly line consisting of four intelligent agents with specific functions and collaboration, and automatically converting original data of a technical file into structured contradiction matrix knowledge; the four agents are a contradiction sentence pair recognition agent, a parameter mapping agent, a technical solution extraction agent and a contradiction matrix construction agent; taking the technical file as original data; after processing by the four agents, extracting contradictory sentence pairs representing technical opposition as information; and mapping the information into standard engineering parameters and constructing a contradiction matrix to form reusable structured knowledge. The method has the advantages of high automation, improved efficiency, high recognition precision and interpretability, and strong systematicness and logic closed-loop performance.

The invention provides a design method and system for customized performance detection equipment. A forward design process of the customized performance detection equipment is promoted by a'demand-function-architecture-physics' system engineering modeling method MBSE based on a model; an environment-based design theory EBD is fused, the problem of solving the theory TRIZ and a special large language model LLM into a system engineering process MBSE is solved, so that demand analysis and functional decomposition are carried out, and customized detection demands and complex environment simulation requirements are effectively converted into a complete environment equivalence and index detection function design scheme through a structured method; a multi-physics field coupling simulation module is combined, dynamic simulation of a test process is carried out based on an equipment design scheme, technical parameters are optimized according to a virtual test effect, interaction with actual data in an operation and maintenance stage is carried out by using the same verification module, and a digital twinborn body oriented to equipment full life cycle parameter optimization is constructed.