IoT-Enabled Smart Industrial Pollution Monitoring & Control System Using RaspberryPi PICO with BLYNK

Development of an IoT-Enabled Air Pollution Monitoring | IoT Enabled Smart Industrial Pollution Monitoring and Control System Using Raspberry Pi with BLYNK Server | IoT Based Pollution Monitoring System for Effective Industrial Pollution Monitoring and Control | IoT enabled Environmental Air Pollution Monitoring and Rerouting system using Machine learning algorithms | Development of a Compact IoT-Enabled Device to Monitor Air Pollution for Environmental Sustainability | air pollution monitoring system using iot | air pollution monitoring system using nodemcu | air quality monitoring and alert system using arduino with mq135.
***********************************************************
If You Want To Purchase the Full Working Project KIT
Mail Us: [email protected]
Title Name Along With You-Tube Video Link
We are Located at Telangana, Hyderabad, Boduppal.
Project Changes also Made according to Student Requirements
http://svsembedded.com/  https://www.svskits.in/
http://svsembedded.in/  http://www.svskit.com/
M1: +91 9491535690  M2: +91 7842358459
We Will Send Working Model Project KIT through DTDC / DHL / Blue Dart / First Flight Courier Service
We Will Provide Project Soft Data through Google Drive
1. Project Abstract / Synopsis
2. Project Related Datasheets of Each Component
3. Project Sample Report / Documentation
4. Project Kit Circuit / Schematic Diagram
5. Project Kit Working Software Code
6. Project Related Software Compilers
7. Project Related Sample PPT’s
8. Project Kit Photos
9. Project Kit Working Video links
Latest Projects with Year Wise YouTube video Links
157 Projects  https://svsembedded.com/ieee_2022.php
135 Projects  https://svsembedded.com/ieee_2021.php
151 Projects  https://svsembedded.com/ieee_2020.php
103 Projects  https://svsembedded.com/ieee_2019.php
61 Projects  https://svsembedded.com/ieee_2018.php
171 Projects  https://svsembedded.com/ieee_2017.php
170 Projects  https://svsembedded.com/ieee_2016.php
67 Projects  https://svsembedded.com/ieee_2015.php
55 Projects  https://svsembedded.com/ieee_2014.php
43 Projects  https://svsembedded.com/ieee_2013.php
1100+ Projects https://www.svskit.com/2022/02/900-pr...
***********************************************************
Creating an IoT-enabled smart industrial pollution monitoring and control system using Raspberry Pi Pico and the Blynk app involves several steps. Below is a general outline to guide you through the process. Keep in mind that this is a high-level overview, and you may need to adapt it based on your specific requirements.

Components Needed:
1. Raspberry Pi Pico
2. Sensors (such as air quality sensors, gas sensors, etc.)
3. Other relevant sensors depending on the pollutants you want to monitor (e.g., temperature, humidity
4. Wi-Fi Module:ESP8266 or ESP32 module for Wi-Fi connectivity.
5. Power Supply:Power supply for the Raspberry Pi Pico and other components.
6. MicroPython or C/C++. Arduino compiler
7. Blynk app
8. Internet connection
9. Power supply for Raspberry Pi Pico
10. Other required electronic components (wires, resistors, etc.)

Steps:
1. Set Up Raspberry Pi Pico:
• Install the Arduino IDE on your computer and connect Raspberry Pi Pico.
• Write a EMBEDDED C script to read data from the sensors connected to Raspberry Pi Pico.

2. Connect Sensors:
• Connect the pollution monitoring sensors (e.g., air quality sensors, gas sensors) to the GPIO pins on the Raspberry Pi Pico. Make sure to follow the datasheets and wiring instructions for each sensor.

3. Install Blynk Library:
• Install the Blynk library on your Raspberry Pi Pico using the Arduino IDE or the terminal.

4. Create a Blynk App:
• Download and install the Blynk app on your smartphone.
• Create a new project in the Blynk app and obtain the authentication token.

5. Write Blynk Code:
• Write a Python script using the Blynk library to send sensor data to the Blynk app.

6. Run the Code:
• Save the Python script on your Raspberry Pi Pico and run it.

7. Monitor Data on Blynk App:
• Open the Blynk app on your smartphone.
• View real-time sensor data on the Blynk app dashboard.

8. Implement Control (Optional):
• If you want to add control features, such as turning on/off a pollution control device, you can use Blynk buttons or sliders to send commands to your Raspberry Pi Pico.

9. Security Considerations:
• Ensure that you implement proper security measures, such as using secure connections (HTTPS), protecting authentication tokens, and implementing access controls.
Notes:

• Consult the datasheets of your sensors for accurate wiring and usage information.

• Customize the Blynk app interface according to your preferences.
• Ensure that your Raspberry Pi Pico has a stable internet connection.
This is a basic guide, and you may need to refer to the documentation for each component (Raspberry Pi Pico, sensors, Blynk) for more detailed information and troubleshooting.