一种3D仿真机房模型分析

本文讨论一种合理的绿色机房模型，求出了在不同的任务量、分配方式、空调风速和空调温度下机房的平均温度、热点、以及热分布和气流速度分布图。分别用人工神经网络和模拟仿真软件Airpak 软件建立模型分析空调的热分布。通过在Airpak中更改机柜发热功率、空调的送风温度、送风速度来模拟仿真不同情况下机房的热循环过程。最后进行改进和优化，使其能够适应更多情况和条件。

The Analysis of 3D Simulation Center Model

This paper discussed a kind of reasonable green data center model to find out the average temperature, hotspot, and heat distribution and air velocity profile of data center in the different task quantity, different ways of distribution, different air conditioning wind speed and different air conditioning temperature. Respectively, the authors, with artificial neural network and simulation software Airpak, set up the model and use it to analysis the air conditioning heat distribution. By changing cabinet heating power, air conditioning of the supply air temperature, air velocity in Airpak, they could simulate thermal cycle process in data center in different conditions. Finally the improvement and optimization could adapt to more situations and conditions.