11results 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.

The invention relates to the technical field of artificial intelligence, in particular to a video content floc intelligent generation method based on generative artificial intelligence, and the method comprises the steps: S1, data collection: obtaining image-text data from a plurality of sources; s2, data preprocessing: image-text materials are identified, and human faces appearing in a video are clustered; storing a management data preprocessing result; s31, a video performance description fragment data preprocessing method; s32, grouping based on face clustering; s33, sorting and selecting; s34, carrying out ASR and face alignment processing; s35, recording and eliminating repeated character segments; s36, circularly executing fragment selection; s37, carrying out a rollback strategy when a single face is insufficient; s38, carrying out a rollback strategy on a plurality of face fragments; s41, an interactive question and answer fragment data preprocessing method; and S42, determining a point location of an answer fragment. The method has the advantages that the manpower demand is reduced; the production capacity and efficiency as well as the content generation quality and consistency are improved; and multi-mode production is realized.

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.

The invention discloses an SQL statement analysis method and device, electronic equipment and a computer storage medium, and belongs to the technical field of databases. The method comprises the steps that structured query language (SQL) statements are collected from all nodes of a whole stack; the SQL statements collected from all the nodes are converted into standard formats, and unified storage is carried out; playing back and verifying the SQL statement in a target database to obtain a verification result; and performing analysis and adjustment according to the verification result, circulating playback and adjustment processes until the verification result meets a business target, and outputting optimal practice to form a knowledge base. According to the method, the service SQL is collected from the whole stack, systematic analysis of the service SQL is achieved, the problem of analysis fragmentation is solved, a knowledge base is formed by continuously and circularly playing back and adjusting the process, powerful reference and basis are provided for SQL statement analysis and optimization, and the execution efficiency and service performance of SQL statements are improved.

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 present specification relates to the field of autonomous robot technologies and provides a multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the present specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.

The application discloses a network resource scheduling method, device and equipment, relates to the technical field of network resources, and comprises the following steps: constructing a fusion resource pool, eliminating the isolation state of RoCE and TCP / IP network resources, determining a main transmission protocol type based on service transmission demand characteristics, realizing accurate matching of service demand and network protocol characteristics, and finally completing unified scheduling and sharing of cross-protocol resources by dynamically allocating corresponding link resources from the fusion pool. The problems of idle RoCE network resources and insufficient high-load performance of TCP / IP network are solved, and the overall resource utilization and service performance of the data center network are improved.

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 relates to a controllable supervised simulated conversation method, system, electronic device and storage medium based on a large language model. By performing multi-dimensional annotation and emotion injection technology on the conversation corpus data, and using a small parameter supervision model, the logic and emotion of each round of conversation are evaluated. Once a contradiction is detected in the conversation content, or its emotional response is inconsistent with expectations, the response content of the large model will be adjusted. This dynamic feedback mechanism can simulate the emotional turning points in the conversation, so that the conversation is more in line with the needs of real scenes; and when certain trigger conditions are met, the model parameters are changed and the knowledge base is switched to adapt to the emotional changes of the role being talked to, so that the large language model can show different levels of emotional changes, so as to ensure that the trained simulated conversation model can accurately simulate the conversation process in the actual application process and ensure the authenticity of the conversation.

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.

The invention discloses an intelligent inspection method and system for improving the standardization of distribution network scheduling business, and the method comprises the steps: sorting key indexes of distribution network scheduling daily business, and compiling a verification logic table corresponding to the key indexes; and searching a non-standard condition and outputting the non-standard condition to a person in charge. And the business processing capability of the dispatcher is quantified. According to the intelligent inspection method and system for improving the standardization of the distribution network dispatching service, the dispatcher can process the service in a more standardized manner through the standard dispatching remarks and the filling of the module information. By outputting the work order and the operation order which are not archived by the dispatcher, the dispatcher can quickly position and process the work order and the operation order. And carrying out statistical accounting processing on nonstandard events occurring in dispatcher business processing, and directly outputting scores of related persons in charge. All business processing nonstandard events existing in a certain time period of the dispatcher can be output in a background one-key mode, and powerful data support is provided for the dispatcher to check and repair missing.