2results about How to "Real-time estimate" patented technology

The invention relates to a polycrystalline silicon reduction furnace soft measurement model construction method, a polycrystalline silicon reduction furnace control method and computer equipment. The method comprises the following steps: determining an input variable set and an output variable set; the output variable set comprises in-furnace definition, and the input variable set comprises hydrogen flow, silicon rod diameter, heating power and cooling water flow; determining a lag time constant set; constructing an in-furnace atmosphere temperature estimation sub-model; constructing a to-be-trained model structure based on the input variable set, the output variable set, the lag time constant set and the in-furnace atmosphere temperature estimation sub-model; training the to-be-trained model structure based on historical operation data of the polycrystalline silicon reduction furnace to obtain a corresponding soft measurement model; the soft measurement model is configured to receive real-time data of the input variable set and output at least an in-furnace sharpness estimate. By adopting the method, the real-time and accurate estimation of the definition in the furnace can be realized, and an accurate state feedback basis is provided for the multivariable cooperative control of the polycrystalline silicon reduction furnace.

The application discloses a robust micro-expression segment segmentation method and system which avoids head movement, adopts computer vision tools to recognize head posture of each frame image in a video sample, and extracts translation variable and rotation variable of the head posture relative to the same coordinate axis; adopts frame difference method to calculate head movement amplitude, divides the video sample into several continuous frame intervals with head movement amplitude less than a set displacement threshold; adjusts and aligns each frame of the video sample with continuous frame intervals to obtain a micro-expression sample; the system comprises a video sample library, a vision tool, a calculation module, a comparison module, a video segmentation module, a micro-expression processing module and a micro-expression sample library; the application divides small-amplitude head movement video segments which can be used as micro-expression samples, avoids the influence of head posture on micro-expression detection, eliminates the influence of head movement within a certain displacement threshold by alignment or removal of global motion, and improves the performance of micro-expression detection.