Research on the Principle and Technology of a Collaborative Information Transparency Diagnosis System for Aviation Formations

Human society is entering the era of intelligence, and the cognitive, interactive, and autonomous functions of intelligent agents are gradually increasing. Intelligent assistance is also gradually being applied in the aviation field. Aviation formation collaboration is one of the important combat methods in the future. However, existing drones are difficult to make accurate judgments and decisions independently, and cannot gain sufficient trust from operators during task execution, leading to frequent collaboration problems and negative impacts on work efficiency and mission results. At present, the mechanism of collaboration in aviation formations is still unclear, and higher levels of intelligence in aviation formations also need to be developed. This article starts with the transparency of information in aviation formation collaboration and elaborates on the impact of information transparency on aviation formation collaboration. In typical collaboration scenarios, an information transparency diagnosis system is established to timely discover the reasons for collaboration mismatch and provide solutions to improve collaboration efficiency and stability.