Project Overview

This project aims to develop a smart water quality monitoring system using IoT devices to track parameters like pH, turbidity, temperature, and dissolved oxygen in real-time, ensuring safe drinking water and environmental monitoring.

Components Required

• Microcontroller (e.g., Arduino, ESP8266, or ESP32)
• Water quality sensors (pH, turbidity, temperature, dissolved oxygen)
• Wi-Fi module (if not integrated in the microcontroller)
• Power supply (battery or USB)
• Cloud service for data storage and visualization (e.g., ThingSpeak, AWS IoT)
• Mobile or web application for monitoring

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Circuit Design

The circuit integrates various sensors with the microcontroller, allowing them to measure water quality parameters and send data to a cloud server.

Sensor Setup

Connect the sensors to the microcontroller as follows:

• pH Sensor: Analog pin
• Turbidity Sensor: Analog pin
• Temperature Sensor: Analog/Digital pin
• Dissolved Oxygen Sensor: Analog pin

Data Collection Code

Here is a sample Arduino code to collect data from sensors and send it to a cloud server:

// Sample Arduino Code for Water Quality Monitoring
#include 
#include 

const char* ssid = "YOUR_SSID";
const char* password = "YOUR_PASSWORD";

void setup() {
    Serial.begin(115200);
    WiFi.begin(ssid, password);
    while (WiFi.status() != WL_CONNECTED) {
        delay(1000);
        Serial.println("Connecting to WiFi...");
    }
    Serial.println("Connected to WiFi");
}

void loop() {
    float pH = analogRead(A0); // pH sensor
    float turbidity = analogRead(A1); // Turbidity sensor
    float temperature = analogRead(A2); // Temperature sensor

    // Send data to cloud server
    if (WiFi.status() == WL_CONNECTED) {
        HTTPClient http;
        http.begin("http://api.thingspeak.com/update?api_key=YOUR_API_KEY&field1=" + String(pH) + "&field2=" + String(turbidity) + "&field3=" + String(temperature));
        int httpResponseCode = http.GET();
        http.end();
    }
    delay(60000); // Delay for 1 minute
}
            

Data Visualization

Use a cloud platform like ThingSpeak to visualize the data collected. Create graphs and charts to analyze trends over time.

Mobile Application

A mobile app can be developed using frameworks like Flutter or React Native to display real-time data and alerts for water quality issues.

Features

• Real-time monitoring of water quality parameters
• Alerts for abnormal water conditions
• Data logging for historical analysis
• Mobile and web application integration
• Remote access to water quality data

Future Enhancements

• Integration with smart home systems for automated water quality management
• Machine learning algorithms for predictive analysis
• Integration of additional sensors for comprehensive water quality assessment