5results about How to "Improve scheduling effect" patented technology

The invention relates to the technical field of cloud computing and resource scheduling, and discloses a smart education cloud platform elastic resource scheduling system based on big data, which mainly comprises a data sensing module, a data lake bin module, an intelligent prediction module, a strategy generation module, a transition control module, an elastic execution module, a dynamic evaluation module and the like. The multi-source data is integrated through the data perception and lake and warehouse module, the information island is broken, the historical load, the user behavior and the service period are fused by using the intelligent prediction module to carry out accurate demand prediction, and the conversion from passive response to active pre-configuration is realized; the system automatically generates and safely executes an optimization scheduling strategy according to a prediction result, and then forms closed-loop optimization through dynamic evaluation, so that the resource utilization efficiency and the service stability are remarkably improved; the system can effectively cope with periodic and sudden loads in a cloud platform education scene, and provides intelligent, elastic and continuously optimized resource guarantee for high-concurrency and high-availability internet data services.

This application discloses an elevator scheduling method, elevator scheduling device, and electronic device, belonging to the field of Internet of Things (IoT) technology. The method includes: receiving a scheduling request sent by the elevator terminal, the scheduling request including historical elevator weights and elevator terminal operating status information, the operating status information including user waiting information for each floor corresponding to the elevator terminal, and the historical elevator weights indicating the priority of each floor's stopping order during the last elevator scheduling; determining a target elevator weight for each floor based on the operating status information and historical elevator weights, the target elevator weight indicating the priority of the elevator terminal's stopping order on each floor; and generating scheduling information corresponding to the scheduling request based on the target elevator weights. By comprehensively processing the current operating status of the elevator terminal and the priority of each floor during the last elevator scheduling, the final scheduling information is obtained, realizing dynamic adjustment of the scheduling information.

The invention belongs to the technical field of port vehicle scheduling, and discloses a dynamic scheduling and path planning method, device and equipment for trailers in a container port, and the method comprises the steps: carrying out the denoising of original positioning data, obtaining a lane-level continuous track based on the denoised positioning data, and carrying out the positioning of the trailers in the container port; setting a sliding scanning window along the road based on a lane-level continuous track, calculating a vehicle density index and a speed loss rate index in the window, judging the congestion level of each window, finally outputting real-time congestion level information, and carrying out path optimization based on the real-time congestion level information to obtain predicted arrival time; and a scheduling instruction is generated and issued by fusing the lane-level continuous trajectory, the real-time congestion level information and the predicted arrival time so as to realize scheduling and path planning. According to the mode, through dynamic identification and prediction of the lane congestion state and batch planning of the navigation optimal path and the estimation time, intelligent issuing of the scheduling instruction is guided, the inner trailer scheduling effect is optimized, and the operation efficiency of the trailers in the harbor district is remarkably improved.

The present disclosure relates to the technical field of electric power, and discloses an assembly scheduling method and device, electronic equipment and a storage medium. The specific scheme is: for a plurality of first assemblies, performing a plurality of times the following first test scheduling operation, obtaining the first score of each first assembly; in response to the current scheduling request for the plurality of first assemblies, determining a plurality of second assemblies from the plurality of first assemblies based on the first score of each first assembly; performing scheduling processing on each second assembly respectively to obtain the scheduling result of each second assembly; and updating the first score of each first assembly based on the scheduling result of each second assembly, wherein the updated first score of each first assembly is used to respond to the next scheduling request for the plurality of first assemblies.

The application belongs to the technical field of offshore wind power generation, and discloses a floating wind turbine mooring positioning method, a mooring positioning system and electronic equipment. The floating wind turbine mooring positioning method obtains the measurement data of wind speed and wind direction and the position information of wind turbine layout, then constructs a mooring system model of the wind turbine to obtain the maximum length and the minimum length of the mooring line; then the genetic algorithm is used to iteratively process multiple design parameters while keeping other parameters unchanged to obtain the optimized position coordinates of the wind turbine, thereby creating a mooring system design database, and according to the established wake model of the floating offshore wind farm, the power generation capacity of each wind turbine and the position information of the layout are calculated according to the offset of the position of each wind turbine until the position information of the layout with the minimum wake loss of the floating offshore wind farm and the maximum power generation capacity of the wind farm is found, which is beneficial to improve the output power of the wind farm and reduce the fatigue load of the wind turbine.