基于大数据的制冷机房能效自动诊断

Automatic Diagnosis of Energy Efficiency in Refrigeration Room Based on Big Data

从大数据的理念出发,受到神经网络系统训练过程的启发,研究中央空调制冷机房效率自动诊断系统快捷的实现过程,规避了自动化开发人员暖通知识不足和自动化编程软件实现复杂数学函数难的弊端。该系统由数据采集系统,诊断系统,报警系统组成。为中央空调制冷机房的效率分析、能耗诊断甚至控制策略提供一种可行的实施方式。

Based on the concept of big data,inspired by the training process of neural network system,this thesis studies the rapid realization process of the automatic diagnosis system of central air conditioning refrigeration room,avoiding the disadvantages of the lack of hvac knowledge of automation developers and the difficulty of automatic programming software to realize complex mathematical functions.The system consists of data acquisition system,diagnosis system and alarm system.This thesis provides a feasible implementation method for the efficiency analysis,energy consumption diagnosis and even control strategy of central air-conditioning refrigeration room.