TERRAWATCH CONNECT: A Unified Framework for Environmental Security

Abstract

The expansion of extractive industries near sensitive ecological zones requires robust real-time monitoring to ensure operational safety and mitigate environmental impact. This study introduces TerraWatch Connect, an Internet of Things (IoT) framework designed for the simultaneous monitoring of active mining environments and contiguous forest areas. Utilizing a distributed network of low-power wireless sensors and long-range wide area network communication, the system continuously captures critical environmental and safety parameters, such as toxic gas levels, soil subsidence, and acoustic anomalies, across remote terrains.

Introduction

The text presents TerraWatch Connect, an IoT-based system designed to address safety and environmental challenges caused by mining activities near forest areas. Traditional monitoring methods are slow and inefficient, making it difficult to detect hazards like toxic gas leaks, soil instability, forest fires, or illegal activities in real time.

TerraWatch Connect provides a unified, real-time monitoring framework by integrating multiple sensors, wireless communication, and visual surveillance. It tracks environmental conditions (temperature, humidity, gas levels), detects motion and sound (human/animal activity or illegal actions), and monitors surroundings using cameras and GPS-based location tracking.

The system uses hardware components such as ESP32 microcontroller, sensors (DHT11, MQ-2, PIR, sound, ultrasonic), GPS module, RFID, and ESP32-CAM for image capture. Data is processed locally and transmitted via Wi-Fi to a backend server, where it is stored in a database and displayed on a web-based dashboard. Alerts are generated through buzzer, SMS, or email when abnormal conditions are detected.

Compared to existing systems that focus on isolated tasks (e.g., fire detection or wildlife monitoring), TerraWatch Connect offers a comprehensive, multi-sensor solution combining environmental monitoring, surveillance, real-time alerts, and centralized data management.

Results show that the system performs effectively, providing accurate data collection, low-latency communication, real-time dashboard updates, and timely alerts. Overall, it enhances both industrial safety and environmental conservation, enabling proactive hazard detection and improved forest protection.

Conclusion

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References

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Copyright

Copyright © 2026 Astha Sahu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.