A low cost automated data acquisition system for urban sites temperature and humidity monitoring based in Internet of Things

The more technology advances, more connected and participative citizens are shaped, creating an environment driven by surroundings context knowledge and aiding in critical decisions as answer to perceived occurrences. This work describes an automated DAS communicating to an instance of 52°North SOS, an implementation of OGC SWE specification, that enables interaction and interoperability of sensors on the web. DAS architecture is divided into four layers. Main component is an Arduino Nano. Results showed that IoT and SWE combined with this approach improves effectiveness of observation processes and decision-making. Arduino Nano limitation provokes instabilities with Ethernet module if memory is massively used, but default source options grants four samples every hour, and a five observations queue in case of connection fault. Ethernet module thermal influence demands subtraction of 2 °C from sensed temperature to achieve its real data. This paper introduces an approach to build a low cost automated DAS to obtain local scale data of urban sites temperature and humidity based in IoT applying a whole infrastructure since sensing to data visualization as a new implementation for local scale meteorology in the actual context of big data and IoT.