A rapid grouping method for large-scale UAVs for disaster rescue missions

A drone and large-scale technology, applied in the research field of drone formation, can solve the problem that drones cannot meet the needs of complex rescue missions, so as to avoid unbalanced drone resources, reduce computing costs, and achieve real-time and the effect of effectiveness assurance

Active Publication Date: 2021-05-25
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

Usually, rescue missions have various requirements for UAVs, such as endurance time, reconnaissance radius, and rescue material load, etc. UAVs with a single function can no longer meet the requirements of complex rescue missions. Sensors) UAVs work together to complete these given rescue missions

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  • A rapid grouping method for large-scale UAVs for disaster rescue missions
  • A rapid grouping method for large-scale UAVs for disaster rescue missions
  • A rapid grouping method for large-scale UAVs for disaster rescue missions

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Embodiment Construction

[0033] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0034] The invention provides a large-scale unmanned aerial vehicle rapid grouping method oriented to disaster rescue tasks. This method is based on the resource requirements of rescue missions and the two types of indicators of task urgency and problems under the premise of considering the constraints of the ability of UAVs to perform tasks and the constraints that the same UAV can only perform one task at the same time. The drones are grouped and assigned to multiple rescue missions within the rescue area. The two types of indicators for the problem are, respectively, maximizing the completion rate of the task and maximizing the coverage rate of the task. Maximizing the completion rate of the task refers to the sum of the proportions of each assigned UAV group that can meet the corresponding task requirements. Maximizing mission coverage means assignin...

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Abstract

The invention discloses a resource combination configuration method for large-scale unmanned aerial vehicle disaster rescue missions. The method considers the constraints of the ability of the unmanned aerial vehicle to perform tasks and the constraint that the same unmanned aerial vehicle can only perform one task at the same time. According to the resource requirements of rescue missions and the effect of UAVs performing tasks, UAVs are assigned to each rescue mission; the rule-based structural resource combination and configuration method proposed in the present invention optimizes and maximizes the sum of the goals of the completion rate of all tasks. At the same time, the problem of unbalanced resource combination allocation is avoided as far as possible, and an approximate optimal solution can be quickly generated, so that the real-time performance and effectiveness of the method are guaranteed; The problem of resource combination configuration includes the combination of resource configuration under the three situations where the UAV swarm capability is lower than, matches and exceeds the requirements of disaster rescue missions.

Description

technical field [0001] The invention belongs to the research field of unmanned aerial vehicle grouping, and in particular relates to a large-scale unmanned aerial vehicle rapid grouping method for disaster rescue tasks. Background technique [0002] With the development of theories such as artificial intelligence and the improvement of the performance of drones, the use of large-scale drones (thousands of drones) for disaster relief has become a future trend. Large-scale drones can effectively improve rescue efficiency and reduce the number of rescue personnel and casualties. Large-scale UAV disaster rescue is to equip multiple UAVs with different sensors, so that UAVs can obtain different capabilities, so as to cooperate to complete complex and changeable rescue tasks. Usually, rescue missions have various requirements for UAVs, such as battery life, reconnaissance radius, rescue material load, etc. UAVs with a single function can no longer meet the requirements of complex...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/26
Inventor 辛斌郭苗陈杰许萌王艺鹏
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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