Aug 2026· International Journal of Scientific Research in Engineering & Technology· 0 citations
TL;DR
The proposed solution provides a low-cost, scalable, and efficient approach for improving industrial safety, minimizing manual intervention, and supporting predictive monitoring applications in smart manufacturing environments.
Abstract
Industry 4.0 has accelerated the adoption of Internet of Things (IoT) technologies for intelligent industrial automation, enabling continuous monitoring of critical environmental and operational parameters. This paper presents an IoT-based Industrial Parameters Monitoring System developed using the STM32F446RE microcontroller for real-time monitoring of industrial conditions. The proposed system integrates multiple sensors, including the MQ135 gas sensor, BMP280 pressure and temperature sensor, DHT11 humidity sensor, KY-026 flame sensor, and SW-420 vibration sensor, to collect and process data related to industrial safety and environmental conditions. Sensor data are acquired through ADC, GPIO, and I²C interfaces and displayed locally on a 16×2 LCD. A WE10 Wi-Fi module enables wireless transmission of processed data to the Right Tech Cloud platform through UART communication, facilitating remote monitoring and visualization. The system also incorporates an audible alert mechanism using a buzzer to notify users when abnormal conditions such as gas leakage, fire, or excessive vibration are detected. Experimental evaluation demonstrates reliable real-time data acquisition, cloud connectivity, and continuous monitoring performance. The proposed solution provides a low-cost, scalable, and efficient approach for improving industrial safety, minimizing manual intervention, and supporting predictive monitoring applications in smart manufacturing environments.
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