Real Time Air Conditioner Plant Failure Detection System

G. Jegan, Kota Karthik, S. Lakshmi, K. Srilatha, M. Jebarani, P. Priya
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Abstract

As microprocessor technology progresses, it is becoming easier and more cost effective to customize system diagnoses to suit a wider range of systems. Automation is one way to make air conditioner monitoring easier for bigger field-assembled systems. It was shown in this paper how a hardware model can be used to monitor machines and send their status to a control point. The control unit receives data from the particle Argon board, which monitors the environment. After monitoring the AC machine's status, temperature and vibrations are utilized to determine the status of an air conditioner. This technology uses real-time equipment vibration analysis and air-conditioning plant temperature to detect faults in large-scale air-conditioning system plants. The cloud platform can also be used to keep tabs on the efficiency of an air conditioner. We can save tens of millions of dollars a year by using this technique, especially in hot nations where air conditioning plants are prevalent, like Dubai and Qatar.
实时空调设备故障检测系统
随着微处理器技术的进步,定制系统诊断变得更加容易和更具成本效益,以适应更广泛的系统。自动化是使大型现场组装系统更容易监控空调的一种方法。本文展示了如何使用硬件模型来监控机器并将其状态发送到控制点。控制单元接收来自粒子氩气板的数据,监测环境。在监测到空调的状态后,通过温度和振动来判断空调的状态。该技术利用实时设备振动分析和空调机组温度对大型空调系统机组进行故障检测。云平台还可以用来监控空调的效率。通过使用这项技术,我们每年可以节省数千万美元,尤其是在空调工厂普遍存在的炎热国家,比如迪拜和卡塔尔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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