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Design of a system for detection of environmental variables applied in data centers

The information processing centers including Data Centers in the companies have evolved and the distributed processing of the technologies for servers and network devices elevates the demand of energy and cooling. Therefore, it is important to analyze the environment with more caution, taking into account that the increase in density and variations are aspects that cause changes in the monitoring methodology of the computer environment. Critical threats that can be detected are elevated temperatures, humidity and unauthorized access, or inappropriate actions by data center staff. In this project, a prototype will be designed and implemented to detect some basic environmental variables such as temperature, pressure, current and humidity, which are vital to controlling within a data center, based on the concepts provided by Internet of Things (IoT). It will also focus on reviewing the current status of the University's data centers to determine if they are energy efficient. It will show the process of the detection system implementation, the components used and network connection for sending the information. This project will serve as a starting point for future development of similar systems, allowing the definition of more variables and serve as a solution for the business sector in the region and the country. In our business environment, there are not many similar developments, at a good cost, that the various entities can execute. It is offering an idea of a system of detection of environmental variables in the data center that is competitive and that represents security and reliability.