Real-Time Environmental Monitoring: IoT Integration and Remote Access via Raspberry Pi and VNC Viewer

The growing concerns over air quality and environmental pollution necessitate advanced real-time monitoring systems capable of providing accurate environmental data. This paper introduces a scalable framework for real-time environmental sensing using the Raspberry Pi as the core processing unit. The system integrates multiple sensors: the DHT-11 for humidity and temperature, and the MQ-2 is a Smoke detecting sensor, and MQ-135 for detecting gases such as methane, carbon dioxide, and ammonia. This integration allows for continuous monitoring and data acquisition essential for both urban and industrial applications. The system's performance is evaluated based on accuracy, response time, and reliability under various conditions, demonstrating its effectiveness in delivering real-time, precise measurements. Its cost-efficiency and scalability make it suitable for both large-scale urban monitoring networks and localized industrial environments. Additionally, the system's flexibility in sensor integration and data processing capabilities provides a robust foundation for future advancements in environmental monitoring technologies. This work advances the field of IoT-based environmental sensing by addressing the challenges of sensor integration and real-time data processing on a cost-effective platform like the Raspberry Pi, contributing to improve environmental monitoring and public health initiatives.