Learn how to send sensor data to Blynk using ESP32 & Raspberry Pi and also store it locally for permanent access. This step-by-step tutorial covers creating Blynk datastreams, sending temperature/weather data, and saving it on your device. Perfect for IoT projects, data logging, and home automation.
💻 Download Code & Files: [🔹 How It Works
1. Random Weather Prediction
• The predict_weather() function randomly selects between “Rainy” (Wet) or “Windy” (Dry).
2. Send Data to Blynk
• Virtual pins V1 and V2 display weather based on the type.
• Virtual pin V5 shows the full log in a Blynk Terminal widget.
3. Log Data Locally
• Each prediction is also saved to a CSV file weatherdata.csv with a timestamp.
• You can open this CSV later for analysis or visualization.
4. Loop & Delay
• The while True loop continuously generates and sends weather data every 5 seconds.
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🔹 Why This Is Useful
• Perfect for IoT projects, home automation, or weather tracking experiments.
• You can replace random predictions with real sensor data (like a rain sensor or anemometer).
• Blynk allows remote monitoring while CSV storage gives local backup.
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🔹 Next Steps / Enhancements
• Add more weather conditions like Sunny, Cloudy, Stormy.
• Use real sensor readings instead of random values.
• Visualize your data using Blynk graphs or Python libraries like Matplotlib.
• Deploy on Raspberry Pi or ESP32 for a small IoT weather station.
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💡 Conclusion
With this tutorial, you can send live weather predictions to Blynk and store them locally for analysis. It’s a simple, beginner-friendly project that can be expanded into a full IoT weather monitoring system.
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💡 Conclusion
With this tutorial, you can send live weather predictions to Blynk and store them locally for analysis. It’s a simple, beginner-friendly project that can be expanded into a full IoT weather monitoring system.
Code : https://pigirl2020.blogspot.com/2024/...
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📌 Chapters
00:00 Introduction
00:25 Project Overview
01:00 Blynk Datastream Setup
01:50 ESP32 & Raspberry Pi Code
02:50 Local Data Storage Explained
03:30 Demo & Testing
04:00 Final Notes
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