Automação de segurança em laboratórios industriais : implementação de um sistema de monitoramento de gases baseado em sensores

Abstract

Gas monitoring in industrial laboratories is an essential practice for ensuring occupational safety, environmental preservation, and operational integrity. The general objective of this work is to develop and validate an integrated real-time monitoring prototype for CO and CO₂ sensors, evaluating its accuracy, reliability, and ability to issue automatic alerts to enhance safety in industrial laboratories. Specifically, the study investigates how automation technologies contribute to risk reduction in laboratory environments; designs and implements a monitoring prototype using sensors (e.g., MQ-135 for CO₂ and MQ-7 for CO) integrated with control platforms such as ESP32 or Raspberry Pi; develops a real-time data collection and visualization system; and proposes improvements incorporating Industry 4.0 concepts, including the Internet of Things (IoT), Big Data, and artificial intelligence. Electronic sensor-based monitoring systems detect critical concentrations in real time, enabling the immediate issuance of visual and audible alerts and the automatic activation of ventilation and containment measures. Beyond incident prevention, these systems record and analyze historical data, supporting risk management and compliance with regulatory standards. The proposed architecture, featuring JSON storage and a web interface, enables integration with IoT platforms and remote monitoring, representing a viable alternative for industrial applications that require reliability, scalability, and low cost.