[Tutorial] : Smart Water Quality Monitoring for Cities using Favoriot IoT Platform.

✅ 1. System Overview

This system consists of three main components:

• Sensors: Collect water quality data.
• Microcontroller (ESP32/NodeMCU): Sends sensor data to the Favoriot platform.
• Favoriot Platform: Stores, analyzes, and visualizes the data.

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✅ 2. Main Component List

Component	Description	Quantity
ESP32 or NodeMCU	Microcontroller	1
pH Sensor	Measures water acidity	1
Turbidity Sensor	Measures water turbidity	1
TDS Sensor	Measures total dissolved solids	1
Temperature Sensor (DS18B20)	Measures water temperature	1
Breadboard	For prototyping	1
Jumper wires	Circuit connections	as needed
Power Supply	5V Adapter or Battery	1

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✅ 3. System Architecture

+-----------+    +-------------------+    +------------+
|  Sensors  | -> | ESP32/NodeMCU MCU | -> |  Favoriot  |
+-----------+    +-------------------+    +------------+
(pH, TDS, Temperature, Turbidity)        (Cloud IoT Platform)

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✅ 4. Step-by-Step Approach

📌 Step 1: Hardware Setup

Connect sensors to NodeMCU/ESP32 as follows:

Sensor	Sensor Pin	NodeMCU/ESP32
pH Sensor	Analog Out	A0 (ADC)
Turbidity	Analog Out	A1
TDS Sensor	Analog Out	A2
DS18B20	Data pin	GPIO 4 (D2)

Use 5V/GND from NodeMCU pins for power.

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📌 Step 2: Favoriot Account Setup

1. Register or log in at platform.favoriot.com.
2. Create a new project, e.g., SmartWaterMonitoring.
3. Add a new device and note the Device Developer ID and Access Token.

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📌 Step 3: ESP32/NodeMCU Programming

Use Arduino IDE.

Install required libraries:

• ESP8266WiFi or WiFi.h (ESP32)
• OneWire.h & DallasTemperature.h (temperature sensor)
• HTTPClient.h (ESP32) or ESP8266HTTPClient.h (NodeMCU)

Complete Sample Code (ESP32):

#include <WiFi.h>
#include <HTTPClient.h>
#include <OneWire.h>
#include <DallasTemperature.h>

const char* ssid = "YOUR_WIFI_SSID";
const char* password = "YOUR_WIFI_PASSWORD";

// FAVORIOT API
String device_developer_id = "YOUR_DEVICE_ID";
String access_token = "YOUR_ACCESS_TOKEN";
String url = "https://apiv2.favoriot.com/v2/streams";

// Sensor Pins
#define PH_SENSOR_PIN 34
#define TURBIDITY_SENSOR_PIN 35
#define TDS_SENSOR_PIN 32
#define ONE_WIRE_BUS 4

OneWire oneWire(ONE_WIRE_BUS);
DallasTemperature sensors(&oneWire);

void setup() {
  Serial.begin(115200);
  WiFi.begin(ssid, password);

  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }

  Serial.println("WiFi connected!");
  sensors.begin();
}

void loop() {
  sensors.requestTemperatures();
  float temperature = sensors.getTempCByIndex(0);
  
  // Read analog sensor data
  float phValue = analogRead(PH_SENSOR_PIN) * (14.0 / 4095);
  float turbidityValue = analogRead(TURBIDITY_SENSOR_PIN) * (100.0 / 4095);
  float tdsValue = analogRead(TDS_SENSOR_PIN) * (1000.0 / 4095);

  // Display readings in Serial Monitor
  Serial.printf("Temp: %.2f C, pH: %.2f, Turbidity: %.2f NTU, TDS: %.2f ppm\n",
                temperature, phValue, turbidityValue, tdsValue);

  // Send data to Favoriot
  HTTPClient http;
  http.begin(url);
  http.addHeader("Content-Type", "application/json");
  http.addHeader("Apikey", access_token);

  String postData = "{";
  postData += "\"device_developer_id\":\"" + device_developer_id + "\",";
  postData += "\"data\":{";
  postData += "\"temperature\":" + String(temperature) + ",";
  postData += "\"ph\":" + String(phValue) + ",";
  postData += "\"turbidity\":" + String(turbidityValue) + ",";
  postData += "\"tds\":" + String(tdsValue);
  postData += "}}";

  int httpCode = http.POST(postData);
  String payload = http.getString();

  Serial.println(httpCode);
  Serial.println(payload);

  http.end();

  delay(10000); // Send data every 10 seconds
}

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📌 Step 4: Data Visualization in Favoriot

• Login to Favoriot.
• Go to Dashboard → Create Dashboard.
• Add Widgets for sensor parameters:
  • Gauge Widget: Temperature, pH, TDS.
  • Line Chart: Real-time trends.
• Monitor data in real-time.

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📌 Step 5: Setting Up Alerts

Use Favoriot’s built-in alerts to send notifications via Email or Telegram when sensor readings exceed thresholds (e.g., pH too high or low, high turbidity).

Example:

• Set alerts if pH is below 6 or above 8.
• Set alerts if Turbidity exceeds 5 NTU.

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✅ 5. Testing and Deployment

• Test sensors in clean and polluted water to ensure monitoring accuracy.
• Continuously monitor data stability and platform responsiveness.

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✅ 6. Results and Benefits

• Ensures a safe water supply.
• Real-time monitoring and rapid response capability.
• Long-term data storage for detailed analysis.

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✅ Conclusion

This approach provides a complete, scalable, cost-effective, and user-friendly IoT solution using Favoriot to intelligently and automatically monitor urban water quality.

References

• Favoriot Platform Registration (FREE and Paid)
• Favoriot Full Documentation (Official)
• Favoriot Github
• How-To Use Favoriot Platform Video Playlist

Disclaimer

This article provides a step-by-step guide and only serves as a guideline. The source code may need adjustments to fit the final project design.