Abstract

Currently, the temperature and humidity are important factors for the correct operation and security of electronic devices in a data center. According to the specifications of the International Computer Room Experts Association (ICREA) and the American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE), the temperature must oscillate between 64.4°F and 80°F equal to 18°C and 27°C. The humidity and non-condensing range must oscillate between 40% Relative Humidity (RH), 5.5°C (41.9°F) of Dew Point (DP) to 60% RH, 15°C (59°F) of DP. Considering the mentioned data, a technique, and a method, was developed for real-time measurements based on the fusion of embedded sensors and systems; with connectivity to the communication network in generation of a dedicated database, for information processing; with open software and hardware resources for temperature and humidity monitoring in a data center; located in a region of humid tropical climate, in the south-southeast of Mexico, specifically in the TECNM-Villahermosa. Presents itself the sensor fusion and embedded systems integrate the Internet of Things, to acquire and analyze data in real-time; as well as its communication system, mobile application and web Page developed for a boss of the data center to have in real-time the data generated from the analysis of the sensor network implemented. Graphs of the behavior of the information and the analysis of the data are presented; complying with the cited standards and associations.

Highlights

  • A data center is a facility that hosts a set of electronic equipment in which all the important information from the organizations is stored and circulated, important data of sensor network of vehicles, agriculture, health, computer science, electronics, and others

  • The data center maintains a tactically centralized telecommunications and server infrastructure that stores and manages all important institute information; with the obtaining and analysis of the information of the sensors placed inside the data center according to International Computer Room Experts Association (ICREA), we recorded the fluctuations of temperature and humidity and analysis of the data simple statistical method was used for data analysis, which consists of the stages: collection, count, presentation, description and analysis; in compliance with the standards to obtain short-term certification

  • WORK In this work, it is presented a basic, adaptable and low-cost IOT system for monitoring in real time the temperature and humidity of a data center of level I or II, the data acquisition that are obtained can be displayed on the website in graphical form

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Summary

INTRODUCTION

A data center is a facility that hosts a set of electronic equipment (servers, routers, switches, and firewalls, as well as supporting components like backup equipment, fire suppression facilities, and air conditioning) in which all the important information from the organizations is stored and circulated, important data of sensor network of vehicles, agriculture, health, computer science, electronics, and others. The data center maintains a tactically centralized telecommunications and server infrastructure that stores and manages all important institute information; with the obtaining and analysis of the information of the sensors placed inside the data center according to ICREA, we recorded the fluctuations of temperature and humidity (instrumented variables) and analysis of the data simple statistical method was used for data analysis, which consists of the stages: collection (measurement), count (computation), presentation, description and analysis; in compliance with the standards to obtain short-term certification. The sensors capture the environmental values of temperature and humidity of the data center, in seven different points, strategically located after analysis of the hot and cold aisles These values are concentrated on the Arduino board through the control software and sent every 10 seconds to the web service, responsible for storing them in a database. The paper is organized : the related work is mention in section II; section III explains the methodology used during the research and it describes the characteristics of the data center, standards of certification, previous studies and the importance of air conditioning; section IV presents the analyses and discusses the achieved results from the performed tests in the data center and section V present the conclusion

RELATED WORK
RESULTS
CONCLUSION AND FUTURE WORK
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