Abstract

Computational Fluid Dynamics (CFD) has penetrated deeply into the field of industry and commerce, and the simulation results usually show in cloud images. However, these images usually inform us of extensive knowledge, not only local parameters' level but also temporal and spatial patterns. This paper introduces a novel method to analyze cloud maps that are the simulated results of CFD in air-conditioning scenarios, to make non-professionals understand and professionals see more. The methodology, in which the non-equilibrium potential difference of a physical field is defined as the main structural feature of the field, catches the key information of cloud images and thus discovers the evolution of the field. The evolution details eventually point towards an optimized scheme for air-conditioning. Moreover, according to the correlation between the main structural features of multiple physical fields, the unknown field's evolution may be inferred from the observed field's development. This work provides an efficient approach to dealing with multi-scene or multi-physical field problems, which has the potential and value of further popularization and application. Meanwhile, higher-order methods need to be further developed for multi-field coupling problems.

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