5results about How to "Reduce interaction overhead" patented technology

The invention discloses a high-precision scene cloud rendering optimization method based on digital twinning, and relates to the technical field of cloud rendering, a rendering request end requests a cloud end to render a high-precision scene rendering file pre-uploaded by the cloud end, and a rendering display unit displays rendering result data of the cloud end. Meanwhile, click operation in a high-precision scene of an authorized user is monitored in real time, attribute display information in a local display file is preferentially matched and displayed to the authorized user for matching, interaction operation with a cloud end can be effectively reduced through the mode, and interaction overhead is reduced; according to the method, the attribute display information contained in the local display file is based on the data capacity and the display frequency of the attribute display information, and the attribute display information which is frequently interacted is locally stored in the mode and is quickly displayed and checked, so that the amount of transmitted information is effectively reduced, and timely display of part of data is optimized.

This application relates to an image feature recognition experimental method and apparatus, belonging to the field of image feature recognition technology. It involves real-time acquisition of images of an experimental scene and preprocessing them to obtain clear, continuous frame images. Based on these, a tracking and locking operation is performed on a dynamic target to ensure the target remains within the effective monitoring field of view. Subsequently, precise target feature data is extracted from the locked target detection image, and hierarchical cross-matching evaluation is performed using a dual-library standard feature library, including both local and cloud-based libraries. Finally, a corresponding feedback signal is generated based on the evaluation results. This application, through a dynamic tracking and locking mechanism, can adjust the image acquisition angle in real time, ensuring the dynamic target remains continuously within the monitoring field of view. This avoids field-of-view shift and target loss under fixed-angle acquisition, effectively solving the defect of dynamic target field-of-view loss. It also addresses the problem of delayed response in security status determination caused by existing technologies relying on a single local feature library.

The invention provides a service grid message acceleration processing method, device and system and a DPU (Data Processing Unit), and the method comprises the steps: determining that an application layer message type to which a target application layer message currently received in a protocol stack of the DPU belongs is marked as acceleration processing; if yes, performing service processing on the target application layer message in a protocol stack based on service configuration information corresponding to the application layer message type to which the target application layer message belongs; and sending the target application layer message to a target application layer message buffer area which is preset in a protocol stack and corresponds to the sending end buffer area, so as to forward the target application layer message in the target application layer message buffer area based on a network communication protocol. According to the method and the device, the service of the service grid Sidecar agent module can be sunk to the protocol stack, the interaction overhead between the protocol stack and the service grid Sidecar agent module can be effectively reduced, and the forwarding efficiency of the service grid message can be improved.

The application relates to the technical field of data processing, and discloses a time sequence monitoring data chain calculation method based on metadata configuration. The method comprises the following steps: constructing a monitoring object model, a monitoring category metadata configuration model and a monitoring data storage model; configuring the association relationship between the monitoring object and the monitoring category; accessing original time sequence monitoring data; loading the monitoring category configuration, the monitoring object historical state and the historical monitoring data; performing derived index calculation according to preset chain calculation rules; and performing accuracy processing, unit conversion and data backfilling on the calculation result. The time sequence monitoring data chain calculation method based on metadata configuration can automatically identify natural period boundaries such as cross-day and cross-month boundaries through a built-in calendar period judgment mechanism, supports cumulative calculation and segmented statistics according to business periods such as natural days and natural months, and guarantees the accuracy of cross-period calculation semantics.

The application relates to a communication method and a communication device, which belong to the field of communication computing. In the communication method, after obtaining service information of a first computing service, a computing management function determines candidate computing nodes (not limited in number) corresponding to the service information of the first computing service, and sends information of the candidate computing nodes to an entry device. In this way, the entry device can make a routing decision on the first computing service according to the information of the candidate computing nodes, that is, determine a computing node in the candidate computing nodes for executing the first computing service and an execution sequence between the computing node for executing the first computing service. Since the computing management function does not need to make a routing decision on the first computing service, the interaction delay between the entry device and the computing management function can be reduced, so that the delay requirement of a low-delay computing service can be met.