Floods are among the most destructive natural disasters, causing severe damage to life, property, and infrastructure. Early detection and timely alerts are crucial to minimize their impact. This project presents a Python-empowered IoT-based flood surveillance and pre-emptive alert mechanism using a Raspberry Pi Zero 2W as the central processing unit. The system continuously monitors critical environmental parameters that contribute to flood conditions. Multiple sensors are integrated into the system, including an SR04 ultrasonic sensor for real-time water level measurement, a DHT11 sensor for temperature and humidity monitoring, a temperature sensor for surrounding temperature analysis, a BMP180 sensor for atmospheric pressure and altitude measurement, and a soil moisture sensor to detect ground saturation levels. Sensor data is processed using Python scripts running on the Raspberry Pi. If any sensor value shows a sudden increase beyond predefined threshold limits, indicating a potential flood risk, an audible buzzer alert is immediately activated to warn nearby inhabitants. Simultaneously, real-time sensor data is displayed on an LCD module and uploaded to the Thingspeak cloud platform for remote monitoring and data visualization. Historical data logging is also supported using an SD card. Additionally, the system supports basic forecasting by analyzing trends in water level, moisture content, humidity, and atmospheric pressure, enabling early prediction of flood-like conditions. The proposed system is cost-effective, reliable, and suitable for deployment in flood-prone rural and urban areas, contributing to disaster preparedness and risk reduction through real-time monitoring and early warning alerts.        

Objectives:

  To design a Python-based IoT flood surveillance system using Raspberry Pi Zero 2W.

  To monitor water level in real time using an ultrasonic (SR04) sensor.

  To measure environmental parameters such as temperature, humidity, pressure, altitude, and soil moisture.

  To detect sudden variations in sensor values indicating potential flood conditions.

  To provide instant local alerts using a buzzer during critical situations.

  To display live sensor data on an LCD and store it for future analysis.

  To upload sensor data to ThingSpeak for remote monitoring and visualization.

  To enable basic flood forecasting through trend analysis of environmental data.          

The major building blocks of the project are:  

• Power supply.
• DHT11 (temperature and humidity) sensor.
• BMP180 (pressure and altitude) sensor
• Ultrasonic sensor.(water level).
• Moisture sensor.
• Temperature Sensor (SR04).
• LCD display.
• Buzzer.
• SD card.

      Software’s used:  

• Rasppbian OS.
• IOT Technology.
• Express SCH for Circuit design.

        Block Diagram:      

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