Adaptive Model IoT for Monitoring in Data Centers

• Main Authors: A. Medina-Santiago, Ana Dalia Pano Azucena, Jose Manuel Gomez-Zea, Jose Angel Jesus-Magana, Maria de la Luz Valdez-Ramos, Eutimio Sosa-Silva, Fernando Falcon-Perez
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Internet of Things; data center; ICREA; ASHRAE; TIERS I-IV; sensors
• Online Access: https://ieeexplore.ieee.org/document/8945352/

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.