Method for efficient deployment of a cluster of air purification devices in large indoor and outdoor spaces

The system performs preliminary actions by conducting computational fluid dynamics simulations and pollutant distribution analysis before actual device deployment. This pre-planning phase identifies optimal device positions and configurations, ensuring that when devices are deployed, they are strategically placed for maximum effectiveness rather than randomly positioned.

The system creates a virtual three-dimensional representation (digital twin) of the target space that replicates the physical environment's geometry, boundaries, and pollutant sources. This virtual model allows for simulation and optimization of device placement without affecting the actual physical space, enabling informed deployment decisions while maintaining real-world accuracy.

The complex deployment system is segmented into distinct functional modules: a virtual model creation module that builds three-dimensional representations, a simulation module that performs computational fluid dynamics analysis, an optimization module that determines optimal device positions, and a deployment module that implements the plan. This modular segmentation manages complexity by allowing each component to be developed and optimized independently.

The virtual three-dimensional representation serves as an intermediary between the physical space and the optimization algorithms. Instead of directly analyzing complex real-world geometries and pollutant dynamics, the system works with this simplified virtual model, which captures essential features while enabling efficient computation and iteration.