A large-scale unmanned aerial vehicle rapid grouping method for disaster rescue tasks

A UAV, large-scale technology, applied in the research field of UAV marshalling, can solve the problem that UAVs cannot meet the needs of complex rescue tasks, avoid the imbalance of UAV resources, reduce computing costs, and achieve real-time performance. and the effect of the validity guarantee

Active Publication Date: 2019-05-10
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A large-scale unmanned aerial vehicle rapid grouping method for disaster rescue tasks
  • A large-scale unmanned aerial vehicle rapid grouping method for disaster rescue tasks
  • A large-scale unmanned aerial vehicle rapid grouping method for disaster rescue tasks

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a resource combination configuration method for large-scale unmanned aerial vehicle disaster rescue tasks. According to the method, on the premise that the capability constraint of the unmanned aerial vehicle for executing tasks and the constraint that the same unmanned aerial vehicle can only execute one task at the same time are considered, the unmanned aerial vehicle isallocated to each rescue task according to the resource requirement of the rescue task and the task execution effect of the unmanned aerial vehicle; according to the rule-based construction type resource combination configuration method provided by the invention, the problem of unbalanced resource combination configuration is avoided as much as possible while the sum target of all task completionrates is optimized and maximized, and an approximately optimal solution can be quickly generated, so that the real-time performance and the effectiveness of the method are ensured; the method providedby the invention can solve the problem of resource combination configuration under various conditions of different resources and task demand proportions, including resource configuration combinationunder three conditions that the cluster capability of the unmanned aerial vehicle is lower than, matched and exceeds disaster rescue task demands.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06G06Q50/26
Inventor 辛斌郭苗陈杰许萌王艺鹏
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap