2results about How to "Control complexity" patented technology

This invention discloses a method, system, and storage medium for multivariate time-series feature extraction and grade prediction in flotation processes. The method includes the following steps: Step S1: Raw data input and encoding; encoding and structured input of time-series data composed of various process variables; Step S2: Extracting dynamic features; Step S3: Condition-guided encoding modeling; Step S4: Enhancing the saliency of key variables and important time segments; employing a multi-head attention mechanism to match key-value pairs generated from target-guided query vectors and multi-scale features; Step S5: Outputting a prediction module; performing feature fusion and nonlinear mapping on the attention mechanism output to output the predicted concentrate grade and recovery rate for future times. The system and storage medium are both based on the above method. This invention has advantages such as higher intelligence, better controllability, and improved prediction accuracy and model adaptability for key indicators in the flotation process.

The application provides a data processing method of a laser radar, an electronic device and a storage medium. The method is applied to the technical field of laser radars. The laser radar comprises a transmitting unit and a receiving unit. One transmitting unit corresponds to N receiving units, and N is a natural number greater than 1. The method comprises the following steps: selecting echo signals of M receiving units, wherein M is less than or equal to N; and outputting detection information corresponding to a target object according to the echo signals of the M receiving units. The method is beneficial to reducing the process complexity of the laser radar and improving the detection accuracy and flexibility of the laser radar.