4results about How to "Avoid allocation problems" patented technology

The application discloses a multi-layer strip-shaped low-altitude unmanned aerial vehicle continuous coordination release traffic control system and method. The application relates to the technical field of low-altitude traffic control, and aims at the problems of coarse strip-shaped low-altitude airspace resource description, lack of coordination in continuous node release, and window mismatch and air route conflict in existing low-altitude traffic control. The application provides the following scheme: obtaining strip-shaped airspace operation state and unmanned aerial vehicle traffic demand, generating low-altitude airspace resource units and traffic permission windows, coordinating adjacent node release phase difference based on predicted traffic time, forming a low-altitude continuous traffic flight wave, and generating unmanned aerial vehicle low-altitude traffic control instructions. The application is suitable for low-altitude traffic management platforms, unmanned aerial vehicle operation control systems and take-off and landing field control units.

The invention provides a water surface floating object classified cleaning robot for a water storage reservoir of a hydropower station and a working subarea setting method. The robot comprises a large garbage collector, a small garbage collector and a movable connecting structure, a water pump is arranged in the large garbage collector to provide suction force, and both the large garbage collector and the small garbage collector are provided with filter screens. After the robot enters water, openings of the large collector and the small collector are located under the water surface, water and garbage enter the corresponding collectors respectively under the suction action of the water pump, the garbage is intercepted through the filter screens, and the water is discharged. The small garbage collector is provided with a garbage recognition camera, and a driving propeller is arranged on the outer side of the large garbage collector. Large and small garbage can be collected in a classified mode, the collecting angle is adjusted through the multiple sleeves, and the feeding effect is improved; on the basis of grid discrete calculation, a weighted Voronoi distribution mechanism is adopted, a plurality of optimal working sub-areas are generated, and multi-robot efficient operation is achieved.

The application discloses a device access method and device, electronic equipment, medium and product. The method is applied to a base station and includes the following steps: when a preamble sequence carried by a first uplink transmission resource is detected, receiving uplink physical channel data through a second uplink transmission resource associated with the first uplink transmission resource; after the uplink physical channel data passes CRC check, judging whether the preamble sequence is a valid preamble sequence according to an index value in the uplink physical channel data; if yes, performing a corresponding access operation on a terminal device sending the preamble sequence. The method can reduce the false alarm probability of a physical random access channel, avoid the base station from allocating redundant uplink resources to a non-existing terminal device, and thus improve key operation indexes such as network access success rate and system throughput.

The invention relates to the technical field of server resource scheduling, and discloses a server resource intelligent scheduling method and system based on auxiliary decision making. The method comprises the following steps: setting an execution ending time point of a task in an abnormal execution category in task execution information as a reference time point; analyzing the change trend of the basic parameter set to extract inflection points; dividing the plurality of servers according to a load evaluation value generated by combining the inflection point and the time difference, forming a schedulable server set, selecting a server from the schedulable server set to be matched with the to-be-executed task, and completing task allocation; and calculating an adaptive score of the current task and the current server, and judging whether the current task is migrated to the server in the schedulable server set to be executed or not. According to the method, the server is divided by analyzing the change trend of the execution parameters of the abnormal task, so that the accuracy of server state evaluation is improved; whether migration is executed on the current task is judged through the adaptive score, and stable execution of the task is guaranteed.