G. Jegan, Kota Karthik, S. Lakshmi, K. Srilatha, M. Jebarani, P. Priya
{"title":"Real Time Air Conditioner Plant Failure Detection System","authors":"G. Jegan, Kota Karthik, S. Lakshmi, K. Srilatha, M. Jebarani, P. Priya","doi":"10.1109/IC3IOT53935.2022.9767989","DOIUrl":null,"url":null,"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.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3IOT53935.2022.9767989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.