5results about How to "Rapid modeling" patented technology

The application discloses a flexible multi-body dynamics method verification experimental device, which is used in the field of flexible multi-body dynamics experiments. The system comprises a structure system, a driving system, a measuring system and a connecting system. The structure system comprises a flexible test piece, an auxiliary beam and a counterweight piece. The driving system comprises a servo motor and a feedback control component thereof. The measuring system comprises an accelerometer, an angular displacement sensor, an eddy current sensor and a high-speed camera. The connecting system comprises equivalent torsional spring pieces and design modules for fixing two flexible beam test pieces together, and the system fundamental frequency of the flexible beam is adjusted by changing the torsional spring stiffness. The application provides a device for multi-section flexible beam dynamics experiments, which can accurately measure the displacement response and acceleration response of the test piece, is consistent with the modeling analysis results, and provides an important tool for related research and development.

This invention discloses a high-speed communication link transmitter modeling method based on a Transformer decoder. This method parameterizes the input signal and establishes a deep learning model with an encoder-decoder architecture, including a non-sequential encoder and a Transformer sequential decoder, to predict the output signal of the transmitter given the input signal. The encoder processes the input signal parameters, generates a context vector, and then passes it to the decoder. The decoder uses the context vector and the transmitter output signal sequence to generate a class probability distribution for each point in the sequence. The model is trained using a random masking strategy and employs non-autoregressive decoding and filtering techniques for inference, achieving parallel output sequence prediction. The final output is obtained through a single signal filtering step. Compared with traditional simulation techniques, this method significantly improves simulation speed while maintaining a very small error.

The application provides a detection formula setting and optimization method and device, electronic equipment and a storage medium. The method comprises the following steps: labeling a first data sample to obtain a second data sample; wherein the first data sample comprises a plurality of detection result data; the second data sample comprises the detection result data and a label corresponding to each piece of data; and data feature distribution information of a detection object is obtained according to the second data sample; a preset outlier statistical analysis strategy is used to perform outlier statistical analysis on the data feature distribution information, to obtain defect distribution boundary information and determine a detection formula; and finally, the values of the detection parameters of the detection formula are determined or optimized through reverse deduction according to the defect distribution boundary information and the preset outlier statistical analysis strategy. The application considers the coupling relationship between parameters, can avoid repeated adjustment of parameters, can infer a complete set of detection parameters at the same time, realizes rapid modeling of the detection formula, and can save manpower and time costs.

This invention discloses a rapid method for constructing semantic electronic maps based on geographic entities, comprising: determining the entity category of each element in the basic surveying and mapping data of the area to be constructed based on a multi-level classification framework, and lightweight compressing the basic surveying and mapping data of each element; converting the geometric surveying and mapping data and attribute information of the elements into geographic entity geometry and geographic entity attributes according to the geometric mapping and attribute mapping relationships of the elements, constructing multi-dimensional semantic relationships of entities, and obtaining two-dimensional geographic entities; selecting a three-dimensional transformation method according to the type of the two-dimensional geographic entity to convert the two-dimensional geographic entity into a three-dimensional geographic entity; performing conflict detection on the generated three-dimensional geographic entity model, and handling the conflict of elements, correcting the corresponding three-dimensional geographic entities to ensure the reliability and accuracy of the constructed three-dimensional geographic entities; and finally constructing a three-dimensional electronic map based on the three-dimensional geographic entities of all elements.