Research on Intelligent Cockpit Information Integration Algorithm Based on Sensor Data Fusion

The abstract of this study summarizes the key content and findings of the research on intelligent cockpit information integration algorithms based on sensor data fusion. The main objective of the research is to design and validate an efficient intelligent cockpit information integration algorithm to cope with the complex and ever-changing data environment in modern aviation and aerospace fields. This article designs a real-time monitoring system to achieve real-time monitoring of flight status and onboard equipment status. Through experiments, it has been shown that the recovery time of the algorithm in this paper gradually decreases, and the optimal value is maintained at an average of 25.4 seconds. The recovery time of AR (Augmented Reality) algorithm is maintained at 41.2 seconds. The recovery time of PSO (Particle Swarm Optimization) algorithm is maintained at 40.4S. Prove that the algorithm in this article can help verify the performance and feasibility of the intelligent cockpit information integration system in data integration, real-time monitoring, performance optimization, and security. Finally, we focused on the reliability and security of the system. Through experimental evaluation and security testing, we verified the system's fault tolerance and fault recovery capabilities, while ensuring data security and privacy protection.