4results about How to "Lighten the task" patented technology

A data processing method and apparatus, a device, and a system are disclosed, and relate to the field of big data. A control device is configured to control a computing device to perform big data distributed processing. The computing device is equipped with storage media in a plurality of deployment modes. The storage media in the plurality of deployment modes include at least two of a local storage medium in the computing device, a global storage medium formed based on the local storage medium, an extended global storage medium, and an extended local storage medium. The method includes: The control device obtains a service request for a big data service, determines storage media in at least one deployment mode from the storage media in the plurality of deployment modes, sends a control indication to the computing device, to indicate the computing device to execute a map (map) task in big data distributed processing on service data included in the service request, and stores obtained intermediate data in the storage media in the at least one deployment mode. Therefore, storage space of a storage medium in the computing device occupied for storing the intermediate data is reduced.

Disclosed in embodiments of the present application are an encoding method, a decoding method, a bitstream, an encoder, a decoder, a storage medium, and a system. The method comprises: parsing a bitstream to determine reconstructed feature data; and performing feature analysis on the reconstructed feature data by using an intelligent task network to determine a target result. In this way, image information required by the intelligent task network can be better learned, and because a decoding network can execute processing of the intelligent task network without being restored to an image dimension, the complexity of the intelligent task network is reduced, and the precision and speed of the intelligent task network are further improved.

The present application relates to the technical field of workshop logistics distribution, and particularly relates to a multi-AGV task dispatching method and device, electronic equipment and storage medium, wherein the total time consumption of all materials to be processed in each processing procedure is calculated in real time, the processing equipment with the least time consumption in each procedure is found out and a task chain is formed, when the upstream equipment cannot provide materials in time for the downstream, the task between the upstream equipment and the downstream equipment is interrupted, the nearest buffer is found out, the materials are supplied to the downstream equipment, and the execution according to the task chain is continued. The task is dispatched to the AGV according to the task chain, the AGV is deployed to directly distribute the materials output by the upstream to the corresponding equipment in the downstream procedure, a large number of AGV scheduling task routes from the buffer to the corresponding procedure equipment are saved, the task of going to the buffer is reduced, and the AGV carrying efficiency is improved; and the procedures can be continuously processed, the procedure equipment can be kept from being out of stock, the materials can be kept from being short, and the materials can be kept from being stacked, the workshop output rate is improved, and the production capacity of the photovoltaic cell workshop is maximized.

The invention relates to an unmanned aerial vehicle assisted mixed data acquisition method, and belongs to the field of unmanned aerial vehicle assisted wireless communication. According to the method, the capability of communication between the base station and the nearby ground nodes is fully considered, the unmanned aerial vehicle is used as the mobile base station, and the unmanned aerial vehicle and base station mixed data acquisition method is constructed. The method comprises the following steps: firstly, decomposing a mixed data acquisition system into an unmanned aerial vehicle assisted data acquisition subsystem and a base station direct acquisition subsystem; secondly, by taking minimization of the maximum task completion time of the two subsystems as a target, establishing an optimization problem of the system, and solving the optimization problem; and for a data acquisition subsystem assisted by the unmanned aerial vehicle, the flight speed, trajectory and ground node transmitting power of the unmanned aerial vehicle are jointly optimized, so that the overall task completion time of the unmanned aerial vehicle is minimized, and the data acquisition efficiency is improved. Various communication resources are fully utilized, the method is practical and efficient, field data can be timely and effectively collected, and the method is suitable for occasions such as fire monitoring and emergency rescue.