5results about How to "Improve business performance" patented technology

The invention provides a transformer substation virtual camera system fused with 3D Gaussian point cloud. The transformer substation virtual camera system fused with 3D Gaussian point cloud comprises a scene building module for building a transformer substation 3DGS model for a transformer substation; the virtual camera setting module obtains virtual camera external parameters set by a user in the 3DGS model of the transformer substation, analyzes virtual camera external parameter information in real time through a space coordinate-pose automatic mapping algorithm, and determines pose information of a virtual camera; the differential rendering module adopts a differential rendering technology to process the 3DGS model of the transformer substation, dynamically analyzes optical parameters of a camera, adjusts the rendering scale and density parameters of Gaussian point cloud according to the optical parameters, and steplessly simulates the optical zoom effect of a real lens to obtain a virtual image; and the imaging output module is used for outputting and presenting the virtual image on the universal hardware. According to the method, the high-precision restoration of the transformer substation is realized by fusing the 3D Gaussian point cloud, the error of the virtual scene of the transformer substation is reduced, the construction efficiency of the virtual scene can be improved, and the cost consumption is reduced.

One or more embodiments of the present specification provide a traffic scheduling method and device, electronic equipment and machine readable storage medium. The method comprises: in response to a resource allocation event of a target service, determining a first target cloud computing resource to be scheduled from cloud computing resources carried by at least one edge cloud node, and creating a cloud computing instance for the target service based on the first target cloud computing resource; adding the cloud computing instance created for the target service on the same edge cloud node to a cloud computing instance set of the target service corresponding to the edge cloud node, and creating a logical service object for each cloud computing instance set of the target service; determining service capabilities that can be provided by each logical service object of the target service according to cloud computing resources allocated to each cloud computing instance of the target service; and scheduling service traffic of the target service by taking each logical service object of the target service as a traffic scheduling object corresponding to each edge cloud node.

This invention belongs to the field of cloud computing and network traffic control technology, and relates to an intelligent network traffic control method and system for containerized clusters. Based on pre-configured rules, it distinguishes between public network and internal network traffic in real time along the data forwarding path. It periodically monitors the total public network traffic of the cluster and dynamically calculates bandwidth limit parameters using a closed-loop feedback control algorithm. Then, it applies dynamic parameters to public network traffic for real-time shaping, while applying a completely independent static protection strategy to internal network traffic. Finally, it independently monitors the status of the control layer at the data execution layer, automatically releasing public network traffic control in case of disconnection, and ensuring business continuity by adhering to the Fail-Open principle. This invention aims to solve problems in traditional solutions such as indiscriminate control that may damage the internal network, the inability of static configuration to adapt, single points of failure in centralized architectures, and the lack of intelligent closed-loop control. It effectively improves bandwidth utilization and business performance, protects critical internal network traffic, significantly reduces operational complexity, and enhances system robustness.

The application is suitable for the field of information technology, and provides an intelligent scheduling method, system, device and medium based on web workers, wherein the method comprises the following steps: obtaining historical user request data, performing data analysis on the historical user request data by using a decision tree algorithm, and establishing a request content trend model; a shared scheduling model is established, which is used for sharing web worker configuration schemes between different request contents; a web worker pre-configuration scheme is obtained through the shared scheduling model according to the request content trend model; and a pre-training model is established by using a transfer learning technology, which is used for generating web worker pre-configuration schemes in different business fields. The application has strong adaptability and expansibility, can adapt to changing business requirements, and can quickly respond to user requests.

The present application provides a method performed by a user equipment (UE), comprising: receiving an indication signal used for indicating a channel state information reference signal (CSI-RS) resource or resource set; and determining, according to the received indication signal, a CSI-RS resource or resource set with which a reference signal used by the indication signal satisfies a quasi co-location (QCL) relationship.