IOT Based Smart Water Quality Sensor Monitoring System Using ESP32

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*********************************************************** An IoT-based Smart Water Quality Sensor Monitoring System using ESP32 is a powerful and efficient solution for remotely monitoring the quality of water. It can track key parameters like pH, turbidity, temperature, and dissolved oxygen, sending real-time data to a cloud platform for analysis and monitoring. The system can be used in various environments such as water bodies, treatment plants, or even home aquariums. Here’s an outline for building this system: Components Required: 1. ESP32: This is the heart of the system. The ESP32 has built-in Wi-Fi and Bluetooth capabilities, which makes it perfect for IoT applications. 2. Water Quality Sensors: pH Sensor: Measures the acidity or alkalinity of the water. Turbidity Sensor: Measures how clear or murky the water is, indicating the presence of suspended particles. Temperature Sensor (e.g., DHT11/DHT22): Measures the water temperature. Dissolved Oxygen Sensor (e.g., Grove – Oxygen Sensor): Measures the amount of oxygen dissolved in the water. 3. Power Supply: A 5V power supply or battery for the ESP32. 4. Cloud Platform (e.g., ThingSpeak, Blynk, Firebase): To store and display the collected data. 5. Jumper Wires: To make connections between the ESP32 and sensors. 6. Waterproof Enclosures: To protect the sensors from water exposure. Steps to Build the System: Step 1: Hardware Setup 1. Connect the Sensors to ESP32: pH Sensor: Connect to an analog input pin on ESP32 (e.g., GPIO34). Turbidity Sensor: Connect the output to an analog pin (e.g., GPIO35). Temperature Sensor: Connect to any available digital pin (e.g., GPIO23 for DHT22). Dissolved Oxygen Sensor: Connect to an appropriate analog pin (e.g., GPIO32). 2. Power Supply: Ensure that your ESP32 and sensors are powered properly, either from a 5V adapter or battery pack. Step 2: Code Development 1. Install Libraries: Install libraries for ESP32, DHT, and any specific sensor libraries for the sensors you're using (e.g., Adafruit_Sensor, DHT). 2. Wi-Fi Setup: Set up the Wi-Fi credentials in the ESP32 to connect to your local network. 3. Sensor Data Reading: Use the respective libraries to read data from each sensor. For example: pH sensor reading through an analog pin. Temperature reading using the DHT sensor. Turbidity reading using the turbidity sensor. Dissolved oxygen levels from the oxygen sensor. 4. Data Processing: Process the raw sensor data, calibrating values if needed (e.g., pH sensor readings can be linearized or converted to standard pH units). 5. Cloud Communication: Use MQTT or HTTP to send the data to a cloud platform like ThingSpeak, Blynk, or Firebase. Here’s an example of sending data to ThingSpeak: