Management Methods of Energy Consumption Parameters Using IoT and Big Data

Abstract

The continuous monitoring of electrical consumption helps to understand energy expenditure in functional consumption environments, such as campuses. For this reason, this work details the development of a mechanism that can do so, such as a network of sensors that is available in a telemetry system, which is determined to perform the acquisition and analysis of energy parameters. These actions are based on the concepts of Internet of Things (IoT) and Big Data. The acquired data are sent in a virtual local area network (VLAN), which is connected to a database server located in the campus environment, using the IoT concept, through the IEEE802.11/IEEE802.3 standards, so that later the analysis and monitoring of the electrical network can be carried out. For the construction of this prototype, noninvasive current sensors connected to a three-phase meter and a communication card are used to extract data from the meter and send it to the database. In the results, the possibility of specifying 30 energy parameters is obtained, with a packet loss rate equal to zero. With this network of sensors, whatever is in operation, such as low-voltage electrical power transformers, distribution boards, among others, can become intelligent data collection devices, from which information is extracted in real time by telemetry.