4results about How to "Quick and accurate identification" patented technology

This application discloses a data processing method, apparatus, device, storage medium, and program product, applicable to artificial intelligence scenarios. The method includes: acquiring target text detection data; performing character-to-image conversion on the target text detection data to obtain target visual image information corresponding to the target text detection data; performing visual feature extraction processing on the target visual image information to obtain target image hidden features corresponding to the target visual image information; performing text vectorization processing on the target text detection data to obtain target text features corresponding to the target text detection data; and performing semantic fusion processing on the target text features and the target image hidden features to obtain a quality probability parameter corresponding to the target text detection data. Using this application, text quality can be identified quickly and accurately.

This invention discloses an intelligent electromagnetic compatibility (EMC) detection system and method based on smart sensors, belonging to the field of EMC detection technology. The system includes an input source acquisition module, a predictive analysis module, and an interference identification module. Its key technical points are: acquiring the ambient temperature of the area to be tested and simultaneously obtaining historical calibration data of the active antenna; wherein the historical calibration data includes at least an electromagnetic near-field distribution map and spectral envelope characteristics; based on the historical calibration data, establishing a logistic regression model to predict the drift law of the active antenna with ambient temperature and obtaining the gain change curve; introducing one-dimensional convolutional analysis of electromagnetic signals to identify electromagnetic interference events, using a built-in rule engine to perform judgment analysis on the gain deviation of each batch of measurements, and triggering adjustment strategies through electromagnetic interference events; this aspect achieves intelligent EMC detection, with real-time calibration and correction during the detection process, improving detection accuracy.

The utility model relates to early warning device technical field, specifically is a kind of auxiliary early warning device for thermal power plant centralized control operation, comprising: mounting block;Rotary lever, the rotary lever rotation is connected in mounting block;Panoramic camera, the panoramic camera fixedly connected in the lower end of rotary lever;Driving mechanism, the driving mechanism is set at one side of panoramic camera to realize panoramic camera rotating function, by gear set transmission mechanism, panoramic camera can realize no dead angle rotation scanning, this not only overcomes the problem that traditional fixed camera exists monitoring blind area, also greatly improves monitoring range and real-time, and operating personnel can obtain the comprehensive view of thermal power plant centralized control area through panoramic camera, promptly discovers and handles equipment abnormal condition, to improve overall security.

This invention belongs to the field of additive manufacturing technology, specifically an intelligent 3D printing system, including a frame and a controller. The frame houses a laser print head and a powder bed mechanism. The powder bed mechanism lays the powder, which is then melted by the laser print head to complete the cladding process. This intelligent 3D printing system, on the one hand, fully utilizes forward mapping to output results from a trained network in seconds or even milliseconds, greatly accelerating the real-time simulation effect of design iteration. Simultaneously, it can replace time-consuming finite element calculations with neural networks in optimization processes such as genetic algorithms, quickly finding optimal design parameters and effectively achieving optimized design results. On the other hand, it utilizes backward mapping to quickly and accurately identify complex material model parameters, several times faster than traditional trial-and-error methods, and can infer the system's input or physical characteristics based on the structure's dynamic response.