15results about How to "Reduce processing latency" patented technology

This invention discloses a visual monitoring system and method for arc additive manufacturing equipment, relating to the field of visual monitoring. In this system, the host computer is used by the operator to calibrate the CCD camera, acquire monitoring data, and provides a unified interface for interaction. The PS terminal receives start commands and CCD camera calibration commands from the host computer, and sends program functions to the host computer to obtain the molten pool width, molten pool center point coordinates, molten pool collapse amount, and collapse direction obtained through CCD camera monitoring. It is also used to store the original molten pool image at a fixed location in the off-chip DDR3 memory. The PL terminal receives control commands from the PS terminal to the IP cores in the PL terminal. The CCD camera is used to acquire the original molten pool image. The LCD screen communicates with the PL terminal through a TFTLCD interface. This invention can improve the real-time performance of the monitoring system and reduce costs.

This invention relates to a robust image semantic perception adaptive masking transmission method for vehicle-to-everything (V2X) networks, comprising: Step 1: The transmitting end performs semantic analysis on the original input image, extracts high-precision semantic features, and identifies the regions of interest (ROI) and non-ROI regions of interest (NROI); Step 2: A Boolean mask is dynamically generated based on the semantic segmentation result and SNR; Step 3: The ROI features are directly masked based on the Boolean mask; Subsequently, the processed feature map is fed into a semantic encoder to extract multi-scale semantic features; Step 4: Power normalization is performed, dynamic feature encoding is performed, and then the encoded signal is transmitted through a typical analog wireless channel, and noise is superimposed before reception and recovery; Step 5: The receiving end receives the noisy feature signal, performs channel fading compensation and preliminary denoising, and sends the decoded features into a semantic decoder; Through progressive upsampling and multi-level semantic reconstruction, multi-scale features are fused, and finally, a high-quality reconstructed image is recovered and output.

This invention discloses a parallel optimization system for massive video processing. The system adopts a four-layer integrated parallel and collaborative processing architecture, comprising, from top to bottom: a parallel task layer for video stream access, grouping, splitting, encapsulation, and queue management; a resource abstraction layer for unified hardware modeling, status acquisition, topology construction, and capability assessment; a parallel scheduling layer for task-hardware matching, load balancing, priority scheduling, and dynamic adjustment; and an execution optimization layer for data stream localization, parallel read / write, cache optimization, and zero-copy processing. The parallel task layer, resource abstraction layer, parallel scheduling layer, and execution optimization layer form a complete parallel processing link: task input, resource awareness, accurate scheduling, and optimized execution. This invention implements concurrent rate limiting and smooth access for the input video stream to prevent traffic surges; and sets synchronization points and timing control for parallel tasks to ensure orderly output.

The application relates to the technical field of Internet of Things and edge computing, and discloses an Internet of Things data access and processing system based on edge computing, which comprises a data acquisition module, an environment sensing module, a data preprocessing module, a transmission strategy analysis module, an edge distributed analysis module, a multi-source data fusion module, a deep intelligent analysis module, a resource scheduling analysis module and a global resource optimization module; through the arrangement of the nine functional modules, the whole-process processing of Internet of Things data from access, preprocessing, transmission, edge analysis, multi-source fusion, deep intelligent analysis to resource scheduling optimization is realized; compared with the prior art, the data processing delay is significantly reduced, the resource utilization rate and the data processing accuracy are improved, the application is suitable for various Internet of Things application scenarios, and has wide popularization value.

This invention relates to the field of vehicle collision detection technology, and specifically discloses a vehicle collision detection method and system based on an improved dual-stream convolutional network, comprising the following steps: Step S1: Real-time acquisition of an original video stream containing the target vehicle via an onboard camera; Step S2: Preprocessing the original video stream to extract spatial frame sequences and optical flow frame sequences; Step S3: Inputting the spatial frame sequences into the spatial flow branch of the improved dual-stream convolutional network. This vehicle collision detection method and system based on the improved dual-stream convolutional network achieves a significant improvement in detection accuracy and extremely low end-to-end processing latency, providing sufficient warning and response time for active safety systems. Its dual-stream parallel processing and adaptive feature fusion design effectively balance computational efficiency and feature integrity, enabling the system to maintain a low false alarm rate in complex driving scenarios and clearly distinguish between emergency braking and real collision risks.

This invention relates to a lock-free I / O scheduling method, apparatus, and storage medium for cloud PCs. Responding to a client session request initiated by a client, the method controls a metadata coordinator to allocate storage nodes to the client and, within those storage nodes, allocates I / O shards for the client, obtaining allocation information. The metadata coordinator then returns the allocation information to the client, and the client caches this allocation information to facilitate the use of the allocation information to fulfill I / O requests. Each I / O shard includes an I / O thread bound to a first CPU core, a data plane development toolset driver, a storage performance development toolset driver, a first lock-free circular buffer, and a second lock-free circular buffer. By binding the CPU core and using lock-free circular buffers, thread switching, lock contention, and most memory copying are eliminated, reducing I / O processing latency from milliseconds to hundreds of microseconds and significantly reducing latency jitter.

This disclosure relates to the field of data storage technology, and in particular to a data storage method, apparatus, electronic device, and computer program product. By acquiring data information of a node corresponding to a project name, the method writes sampled value information from the data information into a sub-table corresponding to a first super table based on the project name and the node; and writes status information from the data information into a sub-table corresponding to a second super table based on the project name and the node. Each sub-table stores data for one node. This storage method, using both super tables and sub-tables, significantly reduces data transmission overhead and lowers data processing latency.

This application discloses an audio processing method, device, and storage medium, belonging to the audio field. The method includes: filtering the left and right channel signals of the original audio using a first low-pass filter to obtain low-frequency left and right channel signals; the first low-pass filter is a finite impulse response low-pass filter with minimum phase property; filtering the left and right channel signals of the original audio using a first high-pass filter to obtain high-frequency left and right channel signals; and mixing the high-frequency left and right channel signals with the low-frequency left and right channel signals after sound field adjustment to obtain a stereo output signal. This solution achieves flexible sound field adjustment while completely solving the problem of blurred sound image positioning caused by nonlinear phase distortion in traditional solutions, as well as the problem of auditory imbalance caused by changes in low-frequency energy distribution, thereby achieving a high-fidelity and high-reproducibility stereo sound field processing effect.

The application provides a land-air collaborative agricultural patrol system and method based on vision and path planning, which comprises a path planning module and a data analysis module running in a cloud computing center, a collaborative control module and a target identification module running on an edge computing node, and an image acquisition module running on a terminal device; the terminal device comprises a robot dog, a drone and a camera, which are used for collecting farmland images from the ground at close range and local monitoring, collecting farmland images from the air in a wide range and large-scale patrol, and continuously collecting farmland images from fixed points, and converting light signals of farmland and its surrounding environment images into first image information; the edge computing node is used for receiving and processing the first image information from the terminal device and data from the cloud computing center; and the cloud computing center is used for performing global scheduling and data analysis, solving the problems of low bird and beast invasion identification precision and limited coverage in agricultural monitoring, and improving the intelligent level and efficiency of agricultural monitoring.

The present invention relates to the technical field of automated maintenance operations in power systems. Specifically, it relates to a complete set of operation systems and methods for power verification and grounding wire hanging and removal based on an unmanned aerial vehicle (UAV). The method includes: determining whether the transmission wire is charged, and generating a permission signal after confirming that there is no electricity; under the trigger of the permission signal, controlling the UAV to perform the operation of hanging or removing the grounding wire, and identifying and discriminating the state of the grounding wire device during the operation; monitoring the operation process in the steps of hanging and removing the grounding wire in real time, and transmitting the operation status and associated operation site images to the ground terminal. Through the present invention, a systematic process integrating power verification, state identification, and operation monitoring is achieved, realizing full-process automation and intelligence from power verification to hanging and removing operations and then to process monitoring, improving operation safety and efficiency.

The steam turbine high throttle fault detection method based on the improved attention mechanism, the mathematical simulation model of the steam turbine control system and various fault models of the high throttle are established, and the fault data set for training is generated; short-term data with high sampling frequency and long-term data with low sampling frequency are spliced into a mixed sequence, multi-scale attention mechanism is adopted to extract short-term and long-term data features, and system operation features under different time scales are fused; the context representation of each time point is obtained through the multi-head attention mechanism, and the fault type prediction result of the time point is output by using the full connection layer and the softmax function. Through the above method, the abnormal state detection of the steam turbine high throttle is realized, and a new technical means is provided for the fault detection and prevention of the power system.

The application discloses an improved digital filter processing circuit which performs data processing on AD collected data, comprising an AD data collection module, a data processing core module and a data storage module. The AD data collection module collects data after AD conversion, outputs the data to a data processing core module for processing by a de-bounce filter algorithm, and then sends the data to a data storage module for storage. The data processing core module processes data after grouping and overlapping according to a bubble sorting form based on data stored in the data storage module. The data storage module realizes temporary storage of AD collected data and storage of data after sorting processing. The application realizes the function of data processing on AD collected data.

This invention relates to the field of environmental linkage alarm technology, and discloses a linkage alarm method and system based on environmental monitoring, including: dividing the parking area grid into multiple sub-areas and initializing the wind speed of the sub-areas as the environmental wind speed; correcting the wind speed of the sub-areas based on the building layout; executing an environmental vibration judgment strategy; estimating the equivalent wind speed experienced by the electric vehicle based on triaxial acceleration; and determining whether the environmental wind speed is a vibration trigger source based on the characteristics of the surrounding vibration; executing a single vehicle physical state assessment strategy; calculating the vibration amplitude of the acceleration and the tilt angle of the electric vehicle based on triaxial acceleration; executing an alarm and collaborative suppression strategy based on a threshold assessment of the physical state; setting different alarm levels according to the physical state; executing a theft detection and response strategy according to the alarm level; calculating the direction index of the average acceleration based on triaxial acceleration; calculating the theft confidence based on the kurtosis of the resultant acceleration; and improving the orderliness and intelligence of the alarm.

The embodiment of the application discloses a simulation system, and belongs to the simulation field. Wherein, the simulation system comprises a hardware control end, comprising a hardware controller; a simulation model end, comprising a simulation model; a communication end, in communication connection with the hardware control end and the simulation model end, for transmitting communication data between the hardware control end and the simulation model end, so as to simulate the simulation model by using the hardware controller; the communication end comprises communication hardware, and the communication hardware is used for processing communication protocols to realize the transmission of the communication data. The embodiment of the application has the technical effects of fast response speed and small delay, and improves the data transmission rate in the simulation process.

This invention discloses a SATA command acceleration system and method. The system includes a command queue, a DMA queue, a submission unit, a hardware resource management unit, and a DMA status queue, used to record the status of DMA tasks completed by the DMA engine. The firmware periodically processes commands in the command queue to configure corresponding DMA task descriptors in the DMA queue, and periodically queries the DMA status queue to determine the completion status of SATA commands. Thus, through hardware-coordinated management of the command, DMA, and status queues, the system reduces the real-time DMA transfer management task of the firmware, achieving automation and pipelined DMA transfer, thereby significantly reducing CPU load and improving data transfer efficiency and system response speed. It reduces firmware intervention in the SATA command transfer process, lowering CPU load; and through queuing and automation mechanisms, it achieves seamless DMA transfer, maximizing bus bandwidth utilization.