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https://github.com/rushikatabathuni/rainfall-monitoring-system-iot

The Rainwater Monitoring and Management System is an advanced IoT-based solution designed to provide comprehensive, real-time insights into rainfall patterns the system offers precise tracking and analysis of rainwater harvesting parameters.
https://github.com/rushikatabathuni/rainfall-monitoring-system-iot

css gravity-i2c html javascript micropython micropython-esp32 rainfall rainfall-monitoring thonny-ide tipping-bucket ysf201

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The Rainwater Monitoring and Management System is an advanced IoT-based solution designed to provide comprehensive, real-time insights into rainfall patterns the system offers precise tracking and analysis of rainwater harvesting parameters.

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README 

        
# Rainwater Monitoring and Management System



## Project Overview



The Rainwater Monitoring and Management System is an advanced IoT-based solution designed to provide comprehensive, real-time insights into rainfall patterns and water collection processes. By integrating sophisticated sensors, a powerful ESP32 microcontroller, and an intuitive web interface, the system offers precise tracking and analysis of rainwater harvesting parameters.



## System Architecture and Components



### Hardware Components



1. **ESP32 Microcontroller**

   - Dual-core processor (240MHz)

   - Built-in Wi-Fi and Bluetooth capabilities

   - I2C communication support

   - GPIO pins for sensor interfacing



2. **Sensors**

   - **Tipping Bucket Rainfall Sensor (SKU: SEN0575)**

     * Measurement Range: 0-9999mm

     * Resolution: 0.28mm per tip

     * Communication: I2C and UART

     * Operating Temperature: -40°C to 85°C

     * Features: Automatic drainage, high platform compatibility



   - **YFS-201 Water Flow Sensor**

     * Measurement Method: Hall effect sensor

     * Output: Pulse signals proportional to water flow

     * Flow Rate Range: 1–30 L/min

     * Working Voltage: 5–24V



3. **Auxiliary Components**

   - Gravity I2C Communication Module

   - Type-B USB Cable

   - 5V Adapter



### Software Components



#### Key Functionalities

- Real-time data acquisition

- Data processing and calculation

- Web server hosting

- User interface for data visualization



## Technical Implementation



### Sensor Data Acquisition

- **Rainfall Sensor**: Measures rainfall through a tipping bucket mechanism

  * Each sensor tip represents 0.28mm of rainfall

  * Transmits data via I2C communication



- **Water Flow Sensor**: Tracks water flow rate

  * Generates pulses proportional to flow volume

  * Calculates flow rate and total water volume



### Data Processing

The system processes raw sensor data to compute:

- Cumulative rainfall

- Hourly rainfall intensity

- Total water collected

- Instantaneous flow rate



### Web Interface

- Hosted on ESP32 microcontroller

- Accessible via Wi-Fi network

- Real-time metrics display

- Features:

  * Current rainfall information

  * Hourly rainfall trends

  * Total water volume

  * Flow rate visualization

  * Data reset functionality



## Network Configuration

- SSID: `RainfallMonitor`

- Access Point IP: `192.168.4.1:8080`



## Setup and Deployment



### Hardware Setup

1. Connect sensors to ESP32 using specified GPIO pins

2. Ensure proper power supply using 5v adapter and a Type-B USB Cable

3. Mount sensors in appropriate outdoor locations



### Software Setup

1. Flash ESP32 with MicroPython firmware

2. Install required libraries

3. Upload `main.py` script

4. It's ready and visit the IP Address `190.168.4.1:8080` for the webpage.



## Calibration and Accuracy



### Rainfall Sensor

- Preset resolution: 0.28mm per tip

- Manual calibration support through software configuration



### Water Flow Sensor

- Configurable calibration factor

- Default: 7.5 pulses per liter



## Possible Enhancements

1. Cloud Integration

   - Remote data access

   - Trend analysis using platforms like AWS or Google Cloud



2. Advanced Analytics

   - Machine learning for rainfall prediction

   - Water usage trend analysis



3. Mobile Application

   - Real-time monitoring

   - Push notifications

   - Comprehensive data visualization



4. Power Optimization

   - Solar power integration



## Troubleshooting



### Common Issues

- No sensor data

- Web interface not loading

- Inaccurate readings



### Recommended Solutions

- Verify physical connections

- Check power supply

- Recalibrate sensors

- Confirm network settings



## Technical Specifications

- Microcontroller: ESP32 (Dual-core, 240MHz)

- Communication: Wi-Fi, I2C

- Data Storage: Temporary in-memory logging

- Update Frequency: 5-second intervals

- Maximum Logged Readings: 10



## Design

![Design](images/Design.png)



## Block Diagram



![Block Diagram](images/Block-Diagram.png)



## Schematic Diagram



![Schematic Diagram](images/Schematic-Diagram.png)