A 3D particle visualization system for temperature management
This paper addresses the challenge of real-time visualization and energy-efficiency analysis for massive sensor data (temperature, humidity, pressure) in data centers. To this end, we propose an adaptive particle-based modeling method tailored for thermal-field sensing. Built upon a client-server architecture, the approach integrates an enhanced Level-of-Detail (LOD) multi-scale simplification strategy—extending Clark’s 1976 theory—and pioneers the synergistic use of particle systems with dynamic detail control for data center thermal management. The system achieves millisecond-level, three-dimensional streaming rendering of tens of thousands of sensor streams, improving frame rate by 3.2×. It significantly enhances hotspot localization accuracy and accelerates energy-efficiency regulation response. As a result, it establishes a scalable, real-time thermal-state visualization paradigm for green data centers.