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DATA CENTER THERMAL AND MOISTURE MONITORING SYSTEM WITH INTELLIGENT PREDICTION

MAHADI, NURIKA THAQIFAH (2020) DATA CENTER THERMAL AND MOISTURE MONITORING SYSTEM WITH INTELLIGENT PREDICTION. IRC, Universiti Teknologi PETRONAS. (Submitted)

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Abstract

Data center plays a huge role in every organization. It stores every data of the organization and performs all processes and operations. This makes it important to have a good monitoring system for the data center to ensure that it is well-maintained. This paper focused on the implementation of a data center monitoring system that comes with an intelligent prediction. This system aims to assist IT personnel to have a better overview of the environmental temperature and humidity level of the data center in real-time manner. The intelligent prediction will include a forecast of the next 7 days of the data retrieved from the datasets. IT personnel will be able to construct a failover plan in case of an abnormal change in temperature and humidity. The proposed system was developed using Raspberry Pi 3 Model B+ with the aid of DHT22 – a sensor that can detect both temperature and humidity. The real-time data was sent to Microsoft Power BI to be visualized in a graphical form. All the data was recorded in a Comma-separated Value (CSV) file. These data were daily imported to Power BI for visualization on daily analysis. Every week, the data was forecasted using a built-in predictive analytics tool in Power BI.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 23 Sep 2021 23:40
Last Modified: 23 Sep 2021 23:40
URI: http://utpedia.utp.edu.my/id/eprint/21724

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