Configuration method and system for real-time monitoring of unmanned aerial vehicle cluster

Abstract

The invention belongs to the technical field of security and protection monitoring, and specifically relates to a configuration method and system for real-time monitoring of an unmanned aerial vehiclecluster. The method comprises the following steps: monitoring devices on unmanned aerial vehicles collect initial configuration information and send the same to a remote computing device; the computing device receives the initial configuration information of all unmanned aerial vehicles, obtains the optimal configuration information of the unmanned aerial vehicles according to a built-in optimization model, and respectively sends the optimal configuration information to the corresponding monitoring devices; the monitoring devices of the unmanned aerial vehicles execute corresponding actions according to the optimal configuration information after receiving the optimal configuration information, wherein the initial configuration information comprises initial position longitudes, initial position latitudes, initial angles and initial visual ranges, and the optimal configuration information comprises optimal position longitudes, optimal position latitudes, optimal angles and optimal visual ranges. The technical scheme of the invention is high in universality and good in maneuverability, and can solve the dynamic monitoring problem in complex security and protection monitoring scenes.

Description

technical field [0001] The invention belongs to the technical field of security monitoring, and in particular relates to a configuration method and system for real-time monitoring of drone groups. Background technique [0002] UAV aerial photography technology is a new application technology that uses UAV as an airborne platform to obtain ground image information with aerial photography cameras. It has become one of the most promising technological development directions in the field of security monitoring. As an advanced aerial photography monitoring application method, the monitoring system based on UAV swarms can implement all-round real-time monitoring of complex environments. Generally, the monitoring system based on UAV swarms can usually deal with the simple situation of static targets; the basic idea is: considering the actual needs of security monitoring, directly configure one or more UAV surveillance cameras for a single static target, so as to obtain the UAV swar...

AI Technical Summary

Problems solved by technology

First of all, in many cases, monitoring requirements are dynamic, and monitoring strategies need to be adjusted in real time according to changes in the environment. Pre-established monitoring configuration solutions are difficult to meet the monitoring needs of complex scenarios with constantly changing monitoring targets.

Secondly, some existing optimization methods can theoretically solve the real-time configuration problem for target changes, but it is difficult to describe and achieve efficient and stable solutions through general computer languages, and there are technical application obstacles to practical problems in security monitoring

[0003] Through the analysis, it can be found that the difficulties faced in building a real-time monitoring and configuration system based on UAV swarms in complex environments can be summarized as follows: 1. For cost or efficiency considerations, UAV swarms are usually composed of monitoring units with different states. For example, drones are equipped with aerial cameras of different brands and models, and there are standard differences, so it is impossible to build a unified optimization model; 2. The monitoring strategy usually involves multiple dynamic targets, and it is impossible to accurately quantify the monitoring indicators for multiple targets; 3. Extending the existing optimization method directly to the real-time monitoring and configuration system of UAV swarms will lead to a complex optimization model with high-dimensional design vectors and many constraints. It is not only difficult to realize the construction of such an optimization model through computer programming, but also to solve The process is more likely to face numerical problems with a large amount of calculation and poor convergence, and it is difficult to meet the real-time and robust requirements faced by the actual security monitoring process

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