This project aims to develop a mobile robotic system that uses IoT to monitor environmental parameters such as temperature, humidity, air quality. The robot can be remote controlled using IOT, which is equipped with sensors to collect real-time data and transmits it to a cloud-based IoT platform for storage and analysis. The system includes user-friendly dashboards for remote monitoring and control, making it suitable for applications in agriculture, urban planning, disaster management, and industrial monitoring. This advanced approach combining mobility, connectivity, and intelligence can provide an efficient and scalable solution for environmental management.
Introduction
The text discusses the development of an advanced environmental monitoring system using IoT technology integrated with autonomous robotic platforms. Traditional static environmental monitoring systems face limitations such as fixed locations and delayed data analysis. To overcome these, the proposed system features IoT-enabled mobile robots equipped with sensors (like temperature, humidity, gas, and ultrasonic sensors), cameras, and Wi-Fi connectivity for real-time data collection and live video streaming.
The robots autonomously navigate environments using obstacle detection to avoid collisions, while sending data to cloud platforms for analysis. Users control the robots remotely via a smartphone app (Blynk), which also displays live video feeds for surveillance and monitoring. The system’s components include the NodeMCU microcontroller, sensors (DHT11, MQ135, ultrasonic), Wi-Fi camera, rechargeable batteries, and a Wi-Fi router.
This integrated approach allows scalable, flexible, and real-time environmental surveillance, addressing climate and pollution monitoring challenges more effectively than traditional fixed sensors. Testing showed successful remote control, live video streaming with minimal latency, and reliable obstacle avoidance, highlighting the system’s potential for improved environmental monitoring and security.
Conclusion
The IoT Integrated Moving Robotic System for Monitoring Environmental Parameters represents a significant advancement in environmental monitoring and predictive analytics. By leveraging the power of Internet of Things (IoT) technologies the system enables real-time data collection, analysis, and prediction of environmental conditions, such as temperature, humidity, gas levels, and other critical parameters.
The integration of sensors like the DHT11, MQ135, ultrasonic sensors, and WiFi cameras into a robotic platform provides a comprehensive and versatile solution for continuous monitoring in dynamic environments. The moving robotic system allows for flexible coverage of large or hard-to-reach areas, which is a limitation for stationary sensor systems. This mobility, combined with the ability to predict environmental trends using machine learning models, enhances the system\'s ability to proactively address potential hazards and maintain optimal conditions in real-time.
References
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