Information Processing with Adaptive Moving Body Update Cycles

The patent applies local quality by differentiating update cycles based on the movement characteristics of individual moving bodies. Fast-moving objects receive shorter update cycles for high accuracy, while slow-moving objects receive longer update cycles to reduce processing load. This localized differentiation resolves the contradiction by optimizing precision where needed without uniformly increasing processing load across all objects.

The patent implements dynamics by making the update cycle adaptive rather than fixed. The update cycle is dynamically adjusted based on the detected movement speed of each moving body, allowing the system to automatically optimize between accuracy and processing load. This dynamic adaptation enables the system to maintain high accuracy for fast-moving objects while reducing updates for slow-moving objects.

The patent transforms the static uniform update cycle into a dynamic adaptive cycle that automatically adjusts based on movement speed detection. This dynamic approach eliminates the need for complex manual configuration while enabling efficient resource utilization, resolving the contradiction between simplicity and optimization.

The system performs self-service by automatically detecting movement speeds and autonomously determining appropriate update cycles without external intervention. This self-adjusting mechanism maintains simplicity in operation while achieving efficient processing resource allocation based on actual movement characteristics.