The Internet of Things (IoT) has revolutionized many industries, including water management. Our advanced IoT-based Liquid Level Monitoring System is designed to prevent water wastage and provide real-time information about liquid levels in various containers.
Monitoring liquid levels is crucial in various industrial applications as well as in daily household activities. Traditional systems often lack real-time monitoring and data analysis capabilities. This is where our IoT monitoring system comes into play. Equipped with ultrasonic sensors and a web-based interface, it provides an efficient water level monitoring system using IoT technology.
- Real-Time Monitoring: Ultrasonic sensors installed over the containers continuously monitor the liquid level.
- Web-Based Interface: Access a graphical representation of the liquid levels in each container via a dedicated web page.
- Alerts and Notifications: The system sends instant alerts through a buzzer and updates the web interface when liquid levels cross a predefined limit.
- Atmega Microcontroller
- ESP8266 Wifi Module
- HC-SR04 Ultrasonic Sensor
- LCD Display
- Additional electronic components like resistors, capacitors, and transistors.
- Arduino Compiler for microcontroller programming
- Embedded C as the MC Programming Language
- IOTGecko for web interface development
How it Works
The ultrasonic sensors placed on top of the containers measure the distance to the liquid surface, which is then processed by the Atmega microcontroller. The data is sent to the web interface via the ESP8266 WiFi module, where it can be monitored in real-time. A buzzer alert is triggered when the liquid level crosses the predetermined limit, preventing any overflow.
- Water Conservation: The system ensures that water is not wasted by providing timely alerts.
- Data Analysis: Historical data can be analyzed for trends, enabling proactive liquid level management.
- Ease of Use: The web-based interface is user-friendly and can be accessed on multiple devices.
There’s scope for integrating more advanced features such as machine learning algorithms for predictive analysis and linking with smart home systems for automated control.
By leveraging IoT technology, this liquid level monitoring system not only prevents wastage but also ensures effective water management.
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