Cloud-integrated Real-time Temperature Monitoring using IoT

Abstract

Real-time temperature monitoring plays a crucial role in ensuring safety, quality control, and early fault detection across applications such as vaccine storage, agriculture, server rooms, and smart environments. Existing systems either depend on cloud-based architectures, which are slow and internet-dependent or require expensive edge computing devices. This paper proposes a novel, low-cost, and highly sensitive real-time temperature monitoring system using basic yet efficient hardware components, including Arduino Uno, DHT11, DS18B20, BMP280, MLX90614, ESP8266 Wi-Fi module, and an OLED display. The system introduces a multi-sensor fusion approach that combines digital, infrared, and barometric sensors to capture ambient, surface, and atmospheric data with improved accuracy and reliability. The Arduino-based control unit collects real-time temperature data, cross-verifies it using sensor redundancy, and filters out noise or outliers. Critical temperature thresholds trigger instant alerts via Wi-Fi to a cloud database (Firebase), while values are simultaneously displayed locally on an OLED screen. Unlike traditional models, this design ensures non-contact monitoring, high precision in diverse environments, and offline data handling capabilities, making it suitable for both remote and bandwidth-limited scenarios. The novelty lies in its use of basic sensors strategically fused to match the performance of costlier systems. With adaptive alert mechanisms and energy-efficient operation, this system provides a scalable, publishable solution for real-time temperature monitoring in healthcare, logistics, and environmental management.