This project is an IoT-based water level monitoring and management system designed to efficiently monitor water tank levels across a campus. The system uses IoT devices to sense water levels, track truck locations via GPS, and transmit this data to the cloud for further processing and monitoring. It provides real-time updates and alerts to users, making it an effective solution for campus water management.
- Real-Time Water Level Monitoring: Continuously tracks water tank levels using ultrasonic water level sensors (HC-SR04).
- GPS Tracking: Uses GPS modules (NEO-6M) to monitor truck locations for efficient water distribution.
- Cloud Integration: Data is transmitted to InfluxDB Cloud via HTTP, where it is stored and analyzed.
- Grafana Dashboard: Real-time visualization of water levels and truck locations.
- Solar-Powered: The system is powered by solar panels, making it energy-efficient and sustainable.
- Notifications: Push notifications for low water levels or abnormal conditions to alert users.
The system is designed with a layered architecture to ensure modularity, scalability, and efficient communication. The key components of the system are:
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Sensor Layer:
- Water Level Sensors (HC-SR04) to detect water levels.
- GPS Modules (NEO-6M) for truck location tracking.
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Communication Layer:
- ESP32 Microcontroller for local data processing and communication.
- HTTP Protocol for cloud data transmission to InfluxDB Cloud.
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Cloud Layer:
- Data stored in InfluxDB Cloud.
- Real-time analytics using Grafana for monitoring.
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Power Management:
- Solar panel (6V/3W) for power generation.
- TP4056 Battery Management Module for charging.
- ICR18650-1S 3.7V Battery for energy storage and continuous operation.
- ESP32 Microcontroller: Manages sensors, processes data, and transmits it to the cloud.
- Water Level Sensor (HC-SR04): Measures the water tank level.
- GPS Module (NEO-6M): Tracks truck locations for water delivery.
- HTTP Communication: Sends data to InfluxDB Cloud.
- InfluxDB Cloud: Stores sensor data for analysis and visualization.
- Grafana: Visualizes water level and truck location data in real-time.
- Solar Panel (6V/3W) & TP4056: Powers the system sustainably.
- ICR18650-1S 3.7V Battery: Provides backup power.
- Arduino IDE or PlatformIO for ESP32 programming.
- InfluxDB Cloud account for data storage.
- Grafana setup for real-time visualization.
- Solar panel and battery setup for power.
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Hardware Setup:
- Connect the water level sensor (HC-SR04) and GPS module (NEO-6M) to the ESP32.
- Set up HTTP communication to send data to InfluxDB Cloud.
- Power the system using a 6V/3W solar panel, TP4056, and ICR18650-1S battery.
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Software Setup:
- Install the required libraries in Arduino IDE (e.g.,
WiFi,HTTPClient). - Upload the code to the ESP32 to read sensor data and send it to the cloud.
- Configure InfluxDB Cloud for data storage.
- Set up Grafana and connect it to InfluxDB Cloud for visualization.
- Install the required libraries in Arduino IDE (e.g.,
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Cloud & Grafana Integration:
- Configure InfluxDB Cloud to store sensor data.
- Set up Grafana to visualize water level and GPS data.
- Enable alerts for low water levels using Grafana notifications.
- Mobile App Development: Develop a mobile app using Flutter or React Native to display real-time water tank levels, truck locations, and send alerts.
- Advanced Analytics: Use AI/ML to predict water usage patterns and optimize water distribution.
- Multi-Tank Support: Extend the system to support multiple water tanks across the campus.
- Energy Management: Implement energy-saving modes for more efficient power usage.
- Weather Integration: Integrate weather data to predict water usage needs based on external factors like rainfall.
This project ensures efficient water management using IoT, real-time monitoring, and sustainable energy solutions, making it an essential tool for campus-wide water level tracking and optimization.