Red de sensores con conexión industrial y almacenamiento en la nube

Abstract

As technology advances, it is also being integrated into different production sectors, with agriculture being a very important field for the economic sector. Despite this knowledge, several government entities, such as Ecuador, where financial aid, technical training and training of farmers in advanced technology that facilitates their work and that in the future they can compete nationally and internationally with their agricultural production are left aside. In these situations, this thesis developed a system that integrates a sensor network with Modbus communication protocol under RS-485, for sensing parameters such as humidity, temperature, conductivity and Ph, a communication architecture with industrial IoT technology, that is, the use of a programmable automaton, a gateway and a proprietary database (WECON). In addition, an MQTT broker intermediary was created for data synchronization from Wecon's V-NET Client to Firebase with the link to Google Colab, this is because at any time the agro-manager will be able to execute data science through artificial intelligence or machine learning. The results show that the percentage variation in data sending was 75.4%, which is lower than that of the V-NET/Firebase communication. However, the latter communication reduces latency by 64.5% compared to the former. On the other hand, it is also mentioned that the server developed as an MQTT broker between V-NET and Firebase presents an efficient CPU consumption of 2% and RAM memory of 16%.