Propuesta de un prototipo de nodos inteligentes integrables a una red inalámbrica para supervisión en línea de contaminantes del aire.

Abstract

A prototype of intelligent nodes integrable to a wireless network for online monitoring of air pollutants (MyAIR), that measures atmospheric pollutants from geographical areas wirelessly using Zigbee and Bluetooth technology in a mesh network. The information obtained is organized and stored on an IoT Ubidots platform for further analysis. It has a mobile application that allows to view information on pollution in the area, as it alerts the population in six permissible ranges. It is characterized by easy handling, installation and low cost in relation to commercial equipment of similar characteristics. Its structure consists of three modules: A data acquisition node (DAN) that collects Carbon Monoxide data (CO), Sulfur Dioxide (SO2), Ozone (O3), Nitrogen Dioxide (NO2), particulate matter PM10, PM2.5 and PM1. Data Control Node (DCN) is responsible for addressing data to the cloud and a Display Node (DN) that shows the information in a graphic and dynamic way. From the tests carried out by comparison with standard equipment, it was found that the sensors do not present significant errors, maintaining values lower than 0,8% of (CO), 5% of (O3), 14% of (NO2) and of +-10ug/m3 at particulate matter establishing that no errors are incorporated into the design. By applying the correlation coefficient AND obtaining values lower than 15%, the stability of the prototype was demonstrated. The tests of wireless communication between nodes showed data reception without losses at a distance of 425 m with line of sight. Simulation tests showed that developed nodes can integrate networks of up to 120 connected nodes. It is concluded that the implemented prototype fulfills with the It is concluded that the implemented prototype complies with the established requirements to be a reliable network, scalable that generates information of help in the socio-environmental field for the population and personnel specialized in decision making to improve the environment. It is recommended to implement a private data logging platform to provide a greater capacity for management, storage, and information security.