Smart Industrial Monitoring and Alert System Using Arduino

Abstract—Industrial environments demand continuous, reliable monitoring to safeguard personnel and assets against hazards such as gas leaks, overheating, flooding, and equipment malfunctions. This paper presents a cost-effective, IoT-enabled monitoring and alert system built around an Arduino UNO, integrating six environmental sensors (temperature & humidity, gas, vibration, light, water level) with both Wi-Fi and GSM connectivity. Sensor data are transmitted every ten seconds to ThingSpeak for real-time visualization and historical logging, while a MATLAB Analysis script applies exponential smoothing to vibration time series for predictive-maintenance forecasting. Upon detecting threshold breaches or forecasted anomalies, the system triggers on-site alarms (LEDs, buzzer) and issues remote notifications via SMS and email. Experimental validation under controlled conditions demonstrated on-site alarm latencies under 3.2 s, SMS delivery within 15 s, cloud-update delays under 20 s, and vibration-based fault forecasts up to 21 h in advance. The unified platform offers small to medium enterprises an accessible solution for real-time hazard detection, proactive maintenance scheduling, and rapid emergency response. Index Terms—Arduino UNO; IoT Monitoring; Predictive Maintenance; ThingSpeak; GSM Alerts; Environmental Sensors; Exponential Smoothing; Industrial Safety; Real-Time Analytics; Alerting & Actuation.