Example presentation

1. IoT Devices for Flood-Resilience
Project
Detailed Overview and Integration
Plan

2. IoT Devices Overview
• Environmental Sensors:
• - Weather stations: Monitor rainfall,
temperature, and humidity.
• - Soil moisture sensors: Assess soil saturation
near tree roots.
• - Water level sensors: Monitor flood depth
and duration.
• Tree Health Sensors:

3. Integration of IoT Devices
• LoRaWAN, Zigbee, NB-IoT Modules:
• - Device Connectivity: Equip sensors with
communication modules.
• - Gateway Setup: Strategically deploy flood-
resistant gateways.
• - Data Transmission: Optimize transmission
rates for power efficiency.
• - Network Monitoring: Address connectivity
issues promptly.

4. Cloud Platforms in Flood Resilience
• 1. Service Selection: AWS IoT Core, Google
Cloud IoT (real-time data and ML tools).
• 2. Data Ingestion: Use AWS Lambda or Google
Cloud Functions for preprocessing.
• 3. Data Storage: Store data in AWS S3 or
Google BigQuery.
• 4. Real-Time Analytics: Create dashboards
with AWS QuickSight or Google Data Studio.
• 5. AI Models: Predictive analytics with AWS
SageMaker or Google Vertex AI.

5. Environmental Sensors
• 1. Weather Stations:
• - Monitor rainfall, temperature, and humidity
in flood-prone areas.
• - Integration: LoRaWAN or NB-IoT for real-time
data.
• 2. Soil Moisture Sensors:
• - Track soil saturation to assess flood stress on
vegetation.

6. Key Sensors and Specifications
• 1. Ground Penetrating Radar (GPR):
• - Model: GSSI SIR 4000
• - Function: Analyze underground moisture and
root health.
• - Features: Non-invasive, high-resolution radar.
• 2. Ultrasonic Water Level Sensors:
• - HC-SR04: Low-cost, range 2 cm to 400 cm.
• - MaxBotix MB7389: Waterproof, range 40 cm