6results about How to "Guaranteed real-time processing" patented technology

The invention provides a field mapping method for a vehicle signal, electronic equipment and a storage medium, and the method comprises the steps: obtaining a current vehicle signal of a to-be-mapped vehicle model, determining a signal type corresponding to the current vehicle signal, determining a target model in a plurality of field mapping models which are trained according to the signal type, and carrying out the mapping of the target model, the field information corresponding to the current vehicle signal is determined through the target model, signal field mapping based on the model is achieved, manual comparison of the vehicle signal matrix is not needed, the mapping efficiency and accuracy of the vehicle signal are greatly improved, and therefore the efficiency and accuracy of large-scale vehicle signal integration and analysis can be improved; according to the method, the field information is identified through the field mapping models corresponding to the signal types, the processing efficiency of the vehicle signals can be improved, the processing real-time performance of the vehicle signals is guaranteed, delay is reduced, the different signal characteristics of different signal types are considered, the field information is identified through the field mapping models corresponding to the signal types, and the field mapping precision can be further improved.

The invention discloses a data processing method and device, a storage medium and electronic equipment. The method comprises the steps of responding to a running instruction of a target data processing task, and obtaining configuration information of the target data processing task; according to the configuration information, a data processing statement corresponding to the target data processing task is generated, and the data processing statement is used for describing the reading, conversion and writing process of a target data flow corresponding to the target data processing task; the data processing statement is submitted to a target platform, the target platform processes the target data flow according to the data processing statement, and a processing result is obtained. Through the data processing method and device, the problem that data processing efficiency is low due to the fact that a data stream processing program is manually written for data processing in related technologies is solved.

The present invention discloses an image processing method and system based on a multi-stage processing architecture, which relates to the field of image processing technology. On the basis of the existing deep learning technology, the method is improved, and the environmental information is comprehensively considered in the feature extraction and classification process while taking into account the influence of ambient light and shooting angle. The acquired image is denoised by using transform domain denoising technology and convolutional neural network, and segmentation is performed by using a segmentation backbone network combined with parallel self-attention model optimization. The image is restored by using a multi-scale image restoration module, and the error caused by environmental factors is reduced by using a three-dimensional reconstruction module, so as to provide an image processing method suitable for images acquired in various environments.

The condition monitoring system (100) includes a data measurement device (20), a data analysis device (30), and a diagnostic device (40). The data measurement device (20) acquires measurement data from sensor detection signals based on provided measurement conditions. The data analysis device (30) performs analysis processing on the measurement data acquired by the data measurement device (20). The diagnostic device (40) performs diagnostic processing to assess the facility's condition based on the analysis results obtained through the analysis processing. The data analysis device (30) sets the measurement conditions and analysis conditions for the analysis processing based on the time required for the analysis processing and diagnostic processing.

This utility model discloses a waste material winding device for a vacuum forming machine, including a main base plate, a first side plate, a second side plate, a drive shaft, and a second motor. Secondary base plates are respectively provided on both sides of the main base plate, with their lower ends on the same plane as the main base plate. The secondary base plates are connected to the first and second side plates respectively via support frames. The first and second side plates are perpendicularly arranged at both ends of the main base plate. The second motor is installed on the outer side of the second side plate, and one end of the drive shaft is rotatably connected to the first side plate. With this utility model, when one winding drum is full of waste material, a rotating plate can be rotated to allow another empty winding drum to enter the winding position. At this time, the operator only needs to switch winding drums on the rotating plate and then replace the full drum, reducing the manual winding time for changing drums, ensuring real-time waste material processing, and improving production continuity.

The invention discloses a multi-path PIS-based pathological section auxiliary reading method and system, and relates to the technical field of information and communication for processing medical data. The method comprises the following steps: S1, obtaining a WIS image; s2, based on the number of online PIS terminals, whether frame reduction processing needs to be carried out on the WIS image is judged, if yes, the step S3 is executed, and if not, the step S5 is executed; s3, carrying out frame reduction processing on the WIS image; s4, judging whether the WIS image subjected to frame reduction processing needs to be restored or not, if not, executing the step S5, and if yes, executing the step S5 after restoration processing; and S5, identifying and marking the WIS image by adopting an AI pathological auxiliary diagnosis technology. According to the AI pathology auxiliary diagnosis method, frame reduction processing is carried out on WIS images transmitted by multiple paths of PIS to guarantee the transmission speed, meanwhile, pathological section images after frame reduction are judged, and images needing restoration processing and images not needing restoration processing are processed through different threads respectively to guarantee that the processing efficiency of AI pathology auxiliary diagnosis is good, and the real-time performance is good.