Task reliability analysis method and system based on unmanned aerial vehicle swarm system

Abstract

The invention discloses a task reliability analysis method and system based on an unmanned aerial vehicle swarm system. The analysis method comprises the steps of obtaining an attack strategy according to a to-be-analyzed unmanned aerial vehicle swarm system; attacking the multi-layer network of the unmanned aerial vehicle swarm system according to the attack strategy; determining the critical probability of the current attack based on the seepage model; judging whether the node number of the task network layer after the current attack is greater than 0 or not, and if so, carrying out the nextattack according to an attack strategy; if not, ending the attack; taking the critical probability corresponding to each attack as a task vulnerability index, and determining a task reliability indexof the unmanned aerial vehicle swarm system corresponding to each attack; wherein the task reliability index corresponding to each attack is inversely proportional to the task vulnerability index, and the higher the task reliability index is, the higher the reliability of task execution of the unmanned aerial vehicle swarm system is. The method can be well applied to an unmanned aerial vehicle swarm system, and the accuracy of a reliability analysis result is improved.

Description

technical field [0001] The invention relates to the field of aviation technology, in particular to a task reliability analysis method and system based on a drone swarm system. Background technique [0002] With the development of aviation technology, the types and mission types of UAV systems are becoming more and more extensive, and they are showing a trend of rapid development and proliferation in various civilian and military fields such as rescue, exploration, anti-terrorism, and combat, and have low Casualty rate, low cost, less restrictions on use, good concealment, and the ability to perform tasks in harsh environments. However, a single UAV is often limited by factors such as its survivability and mission capability, and it is difficult to meet the needs of complex tasks. Through communication among multiple UAVs, information sharing and collaborative task completion are important means to solve the above problems, which can improve the flexibility and flexibility o...

AI Technical Summary

Problems solved by technology

Therefore, the traditional stand-alone task reliability analysis method is difficult to apply to the task reliability analysis of the UAV swarm system. In addition, the n

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