3results about How to "Avoid over-occupancy" patented technology

This invention relates to a load-balancing-based constellation communication-navigation coupled task scheduling method, belonging to the field of aerospace mission planning technology. It primarily improves resource allocation efficiency under equipment-level constraints and addresses the challenge of ensuring communication task completion while meeting the geometric accuracy requirements of navigation services. The invention uses satellite ephemeris data and mission requirement parameters as input to construct a multi-objective mixed integer linear programming (MILP) model. The optimal binary allocation variables are then obtained through a MILP solver, and the service satellites and service time slots for each mission are extracted to generate a scheduling table. This invention avoids the problem of navigation mission failure caused by communication tasks occupying multi-satellite convergence windows in separate planning. Simulations show that the overall mission completion rate is improved by an average of 12.3 percentage points, and the load variation coefficient is reduced by 66%–88%.

The application provides a server, a display device and a live source import method. First, a mapping table based on geographical position and network operators is used for accurate query to filter available live sources in line with the local network environment of a user, avoiding misjudgment across regions. For unknown or unplayable live sources, the server generates a distributed detection task and distributes it to a second display device in an idle state in the same region to detect availability through a lightweight HTTP request, which not only avoids the IP blocking risk of centralized scanning, but also improves detection accuracy by using the local network environment. The available live sources detected are mapped to unique identification codes after semantic normalization processing and are dynamically updated to the mapping table to form a continuously optimized data closed loop. Through resource optimization strategies, the entire process minimizes interference with user devices, and finally provides the user with an accurate and de-duplicated list of available sources, improving determination efficiency and user experience.

The invention provides a smart park resource computing power scheduling optimization method and device, equipment and a medium, and belongs to the technical field of resource scheduling. Determining a target computing power node group from the plurality of computing power node groups based on the computing power demand and the task priority of the computing power request task and the predicted load data of each computing power node; screening an optimal execution node based on the predicted load data, the task adaptation degree and the node health degree of each computing power node in the target computing power node group, and distributing the computing power request task to the optimal execution node for execution; and in response to detection that the energy consumption of the optimal execution node exceeds a preset energy consumption threshold value of the node type corresponding to the optimal execution node, or the task execution delay of the computing power request task is greater than a preset delay duration, migrating the computing power request task based on the task priority. The resource utilization rate can be effectively improved, and idle or excessive occupation of resources is avoided.