3results about How to "Realize recurrence" patented technology

The invention relates to the technical field of generator excitation simulation, and discloses an RT-LAB-based generator excitation small signal semi-physical simulation method and detection system, and the simulation method comprises the following steps: building a single machine infinite bus simulation system and a generator excitation system model in RT-LAB software; a semi-physical simulation platform loaded with RT-LAB software is electrically connected with the AVR excitation regulator through a conversion card; based on the generator excitation system model established in RT-LAB software, determining the optimal working parameters of the PSS of the AVR excitation regulator; and based on the optimal working parameters of the PSS of the AVR excitation regulator, adjusting the control parameters of the single-machine infinite-bus simulation system and the generator excitation system model so as to evaluate the response performance of the AVR to various generator faults. According to the method, a small signal model is built through RT-LAB, and the test accuracy is ensured by utilizing the real-time capability of the step length of 15 microseconds.

A pulse collection and reproduction system, comprising a reproduction terminal (1), a collection terminal (2), and a server terminal, and the technical key points are that a data transmission channel is directly established between the collection terminal (2) and the reproduction terminal (1) in a C / S architecture or a data transmission channel is established through the server terminal as a transfer, and the data of the collection terminal (2) or the server terminal is transmitted to the reproduction terminal (1); the server terminal comprises a communication module for receiving the pulse data uploaded by the collection terminal (2) or sending the diagnosis result to the reproduction terminal (1); a database module for storing the two-dimensional or three-dimensional pulse data uploaded by the collection terminal (2); a deep learning model module for loading the pulse diagnosis model and returning the pulse data uploaded by the collection terminal (2) to the diagnosis result. It has the advantages of convenient use, accurate radial artery positioning, high pulse reproduction accuracy, etc. Better simulate the clinical pulse taking, and improve the accuracy of pulse diagnosis instrument pulse taking.