Sistema de monitoreo en redes industriales utilizando convergencia IT/OT con arquitectura EDGE-CLOUD

Abstract

The implementation of an industrial monitoring system based on emerging technologies represents a significant advancement in automation processes, as it efficiently integrates field devices with distributed processing and visualization platforms. This progress is driven by IT/OT convergence, which enables the combination of operational infrastructure with advanced computing services such as Edge-Cloud architectures. Therefore, this project proposes the development of a monitoring system for industrial networks through IT/OT convergence, where operational information is captured at the field level and processed at an Edge node to reduce latency, improve availability, and ensure interoperability among heterogeneous devices. The data is transmitted to a Cloud architecture based on OpenStack, where virtual machines dedicated to storage and visualization are deployed using a database (InfluxDB) and monitoring dashboards with Grafana. This solution enables the acquisition of historical records, trends, alerts, and centralized analysis of the network’s operational state, achieving efficient, flexible, and scalable monitoring for modern industrial environments. The system was evaluated through stress tests for 30 minutes and was found to maintain stable performance when sending data from up to 100 sensors simultaneously, registering latencies between 0.1 and 1 ms and a loss of 1.05%. However, when the data load was increased to 150 sensors, the latency rose to a range of 28 to 72 ms and the loss reached 3.08%, demonstrating that the infrastructure is approaching its operational limit.