Raspberry Pi 5 Digital Twin HVAC Monitor Kit with ESP32 Nodes
Real-Time HVAC Digital Twin Monitor Kit with ESP32 Nodes & Raspberry Pi 5
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
When an HVAC system fails in a server room, pharmaceutical cold chain, or industrial cleanroom, the results can be catastrophic. This kit lets you build a complete monitoring solution - five wireless sensor nodes track temperature, humidity, and vibration on critical HVAC equipment, streaming data to a Raspberry Pi 5 that maintains a live digital twin. If the twin detects an anomaly, it triggers a physical alert, giving you time to act before a real failure occurs.
What You'll Build
You will assemble five ESP32-based sensor nodes, each equipped with a DHT22 for temperature/humidity and an ADXL345 accelerometer for vibration. These nodes communicate over Wi-Fi to a central Raspberry Pi 5, which stores a 3D digital twin model of your HVAC system in real time. A web dashboard displays live metrics, and an onboard alert system (buzzer or LED) activates when the twin detects an abnormal pattern, such as rising vibration or unexpected temperature swings. The entire system is modular - add more nodes later to monitor additional air handlers or duct sections.
What You'll Learn
- Configure ESP32 microcontrollers to read DHT22 and ADXL345 sensors over I2C and one-wire protocols
- Stream real-time sensor data to a Raspberry Pi via MQTT, building a scalable IoT data pipeline
- Create a digital twin using Python on the Pi that models the HVAC operating envelope and detects anomalies with threshold rules
- Set up persistent storage with NVMe SSD and the Pi 5 M.2 HAT+ for data logging and replay
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 8GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| NVMe SSD 256GB | 1 |
| Ethernet Switch 8-port | 1 |
| USB-C PSU | 1 |
| ESP32 Dev Board | 5 |
| MicroUSB Cable | 5 |
| DHT22 Temperature & Humidity Sensor | 5 |
| ADXL345 3-Axis Accelerometer | 5 |
| M-M Jumper Wires | 40 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This kit is ideal for B.Tech ECE/EEE final-year projects on IoT-based predictive maintenance, Smart India Hackathon teams prototyping industrial monitoring solutions, and CBSE Class 11-12 students with Python and Arduino experience. It's also used in ATL Tinkering Labs and by hobbyists building real-world IoT infrastructure who want to move beyond simple sensor displays into digital twin modelling.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Every kit includes a QR code to access an AI companion trained on this exact project. It guides you step-by-step, and you can escalate to our WhatsApp support for personal troubleshooting.
Do I need additional tools or parts?
No, everything is included. You may need a monitor, keyboard, and mouse for the initial Pi setup, but the AI guide shows headless setup alternatives to get started with minimal hardware.
Can I extend the system to monitor more than five points?
Yes, the digital twin model on the Pi 5 can scale to handle dozens of ESP32 nodes. You can add more sensor kits from Compoden with the same configuration.
How does the digital twin trigger an alert?
The Python script on the Pi continuously compares live sensor data against expected operational bounds. When a value deviates significantly (configurable threshold), it activates a buzzer and can send a Telegram or email notification.
HVAC - 10 ESP32 sensor nodes stream real-time data to Pi 5 which maintains a digital twin model - anomaly detected in twin triggers physical alert.
What's in this kit
- Raspberry Pi 5 8GB
- ESP32 Dev Board x5
- DHT22 x5
- ADXL345 x5
- NVMe SSD 256GB
- Pi 5 M.2 HAT+
- USB-C PSU
- MicroUSB Cable x5
- Ethernet Switch 8-port
- M-M Wires x40
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items