Data for: An IoT-Based Multi-Sensor Monitoring System with LoRaWAN for Landslide Early Detection in Risk-Prone Areas
Description
This dataset contains raw sensor readings (soil moisture, vibration, inclination) from the developed LoRaWAN-based landslide monitoring system. The source code for the Transmission Node and Gateway is also included.
Files
Steps to reproduce
1. Hardware Setup: The data collection system consists of Transmission Nodes (Tx) and a Receiver Gateway (Rx). The Tx nodes are built using ESP32 microcontrollers interfaced with capacitive soil moisture sensors, MPU6050 gyroscopes (for inclination), 801S vibration sensors, and DHT22 environment sensors. 2. Sensor Deployment: The soil moisture sensors were installed at three specific depths (20 cm, 40 cm, and 60 cm) to monitor soil saturation levels at the study site. 3. Data Transmission: The sensors collect data and transmit packets via LoRaWAN technology (925 MHz frequency) to the Receiver Gateway. 4. Data Logging: The Receiver Gateway (ESP32) processes the incoming LoRa packets and uploads the data to a cloud-based logging system (Google Sheets) via Wi-Fi connectivity. 5. Data Extraction: The raw time-series data was exported directly from the cloud database into Microsoft Excel (.xlsx) format without additional filtering, preserving the original sensor readings for analysis.
Institutions
- Rajamangala University of Technology Thanyaburi
- Suranaree University of Technology Institute of Engineering