33results about How to "Ability to learn independently" patented technology

The invention discloses a smart home system based on deep learning. Including video recording subsystem, information processing subsystem, intelligent control subsystem, behavioral data analysis subsystem, early warning subsystem. The video recording subsystem uses high-definition cameras and machine learning to realize 24-hour uninterrupted recording of the real-time situation in the user's house; the information processing subsystem performs image data processing and feature value extraction on the recorded video data to facilitate further detection of abnormal behavior data; The convolutional neural network (CNN) algorithm detects abnormal behavior data, divides abnormal behaviors into abnormal levels, and adopts different early warning measures according to the preset abnormal threshold and abnormal level, which greatly guarantees the safety of users; the system also has behavior data The analysis function uses big data analysis technology, artificial intelligence, machine learning and other technologies to analyze the user's daily behavior data, so that the system can serve different users more humanely.

The invention relates to a prediction method of torsional vibration of a rolling mill. The prediction method comprises building a torsional vibration experiment platform and finding out an optimal prediction model of the torsional vibration of the rolling mill through real-time adoption of optimal kernel functions and parameters. The torsional vibration experiment platform is mainly formed by an alternating current frequency conversion motor, a gear reducer, a working roller which is arranged at the load end, a torsional vibration sensor, an elastic connecting shaft, a speed measuring sensor and an upper computer; the speed measuring sensor is used for measuring the speed which is transmitted to the elastic connecting shaft after the alternating current frequency conversion motor passes through the gear reducer, wherein the speed is used for representing the rolling speed of the rolling mill; the torsional vibration sensor is used for measuring the size of torque in the elastic connecting shaft; detected signals are transmitted by the two sensors to the upper computer through a serial port which is formed in the upper computer. According to the prediction method of the torsional vibration of the rolling mill, the torsional vibration prediction process is simple, the prediction accuracy is high, the objective evaluation standard of the torsional vibration is increased, the steps are clear, and the time and the labor are saved.