三大突破护航群体智能高效运行

Core Viewpoint - The research team from Nanjing University of Technology has made significant breakthroughs in distributed filtering, control, and intelligent operation and maintenance theories for swarm intelligence systems, which have been recognized with the Jiangsu Provincial Engineer Society Science and Technology Award for 2025, enhancing the safety and efficiency of intelligent device collaboration [1] Group 1: Communication Innovations - The team developed an "event-triggered filtering" technology that activates data transmission only when critical data changes exceed a set threshold, reducing communication volume and energy consumption by 70%-80%, thus extending the operational duration of mobile platforms like drones [2] Group 2: Control Mechanisms - The introduction of "fault-tolerant control" allows swarm intelligence systems to maintain operation even in the event of equipment failure, employing a closed-loop mechanism for fault detection, estimation, and compensation, enabling systems to perform tasks continuously in urgent scenarios [2] Group 3: Intelligent Operation and Maintenance - The "remaining life prediction uncertainty quantification" technology enhances the accuracy of predicting equipment lifespan from approximately 50% to over 90%, significantly lowering maintenance costs and improving system reliability, providing businesses with more reliable decision-making data [3] Group 4: Industrial Applications - The team has integrated swarm intelligence technology into various industries, including space exploration and chemical safety production, collaborating with organizations to optimize equipment efficiency and support operations for critical applications like aerospace and planetary exploration [4]