广电融媒体数据中心精密空调系统故障智能诊断方法的理论研究

Theoretical Research on Fault Diagnosis Method of Precisi on Air-conditioning System in Broadcasting Converged Media Data Center

融合媒体数据中心的精密空调系统服务主要对象是精密的IT设备和播出设备,对机房的温度、相对湿度和纯洁度等运行环境都有较高的要求,空调系统故障必将引起数据中心机房环境发生变化,使设备出现宕机事故导致安全播出事故。针对融合媒体数据中心精密空调的故障特点,提出了一种基于BP神经网络的故障预测模型,并采用MATLAB仿真软件验证了该模型的正确性和实用性。因此,把基于BP神经网络的故障诊断技术引入精密空调系统,能够在保障维护融媒体数据中心空调系统中起到一定的作用,是安全播出的技术保障工作的一个研究方向。

The failure of air conditioning system will inevitably cause changes in the environment of the data center room,which will lead to the failure of the equipment and the safety broadcast accident.According to the fault characteristics of precision air conditioning in fusion media data center,a fault prediction model based on BP neural network is proposed in this paper,and the correctness and practicability of the model are verified by MATLAB simulation software.therefore,the fault diagnosis technique based on BP neural network is introduced into precision air conditioning system,can guarantee to maintain harmony media play a role in the data center air conditioning system,are safe and broadcast technology,a research direction of the security work.