5 results about "System design process" patented technology

The application discloses a kind of based on key value memory network's complex electromechanical system design knowledge active recommendation method.First, the scene feature semantic information extraction of software platform log file in the design process of complex electromechanical system is carried out, and scene ontology is established based on scene feature semantic information, and system scene knowledge base is formed by scene ontology and original knowledge base;Then, the scene maximum frequent sequence is used to describe the scene sequence feature similarity between designers;Again, the knowledge item interaction sequence of all designers is learned, and the knowledge item sequence preference vector corresponding to all designers is obtained;Further, input to key value memory network, and the initial design knowledge active recommendation sequence is obtained;Finally, after knowledge item selection, the final design knowledge active recommendation sequence of each designer is obtained.The application obtains design knowledge active recommendation sequence more in line with the needs of designers, and then improves the efficiency of complex electromechanical system design.

This invention discloses a SysML-based visual modeling workflow configuration method, comprising the following steps: creating system design stages and sub-stages through a visual interactive interface, and setting operation items for each sub-stage; establishing a dynamic association mapping relationship between operation items and system modeling language model elements based on the semantic association method of the system modeling language, and converting it into an independent configuration file; automatically analyzing the upstream and downstream dependencies of operation items based on the configuration file; monitoring the execution status of each operation item in real time, and dynamically updating the execution status of sub-stages and stages according to the status; automatically providing recommended views and model elements for operation items, and generating design deliverables; automatically performing semantic association analysis of data conflicts; and recording the modification history of model elements for traceability management of design results. This invention provides an efficient, flexible, and traceable modeling workflow configuration method, significantly improving the accuracy and collaboration efficiency in the system design process.

The application relates to a multi-dimension financial statement data extraction and report system design method, which is based on a multi-section financial subject, comprises a data obtaining formula setting process and a report system design process, the data obtaining formula setting process comprises fixed format report formula setting logic and dynamic row report formula setting logic; the report system design process is based on the two kinds of formula setting logic, obtains and displays report data from a database table or view according to rules. Compared with the prior art, the application has the advantages of high efficiency, convenience and the like in satisfying the production of financial statements in different scenes.

The invention discloses a design method of a virtual experiment platform for designing a hydraulic system based on AI guidance. The design method comprises the following steps: (1) designing an overall framework of the virtual experiment platform; (2) construction of an AI learning guiding database; (3) designing an experiment preparation module; (4) designing a load analysis module; (5) designing a hydraulic cylinder parameter calculation module; (6) designing a scheme design module; (7) designing a hydraulic element selection module; and (8) designing a simulation operation and system building module. According to the method, each step in the hydraulic system design steps can be completed according to the steps, and finally, the learning process and data of students are recorded by AI in combination with the whole experiment process, and a teaching quality report is generated to give experiment results; aI guiding learning automatically judges the correctness in the design calculation process, the comprehensiveness is high, the depth participation degree is high, and the system design process is complete.

The application relates to a conversion method based on a unified PDK interface specification, relates to the technical field of electronic design automation, and comprises the following steps: acquiring commercial PDK data; performing semantic analysis and structure reconstruction on a model file based on a machine learning migration learning algorithm to generate a standardized intermediate model; converting the intermediate model into target PDK data conforming to the format of a self-developed simulation platform according to the unified PDK interface specification; and automatically importing the target PDK data into the simulation platform through a templated script and verifying the integrity and consistency of the target PDK data. The method can be applied to a chip system design process, realizes unified access and collaborative simulation of commercial PDK and open source PDK, and improves the integrated circuit design efficiency.