Server Room Temperature Monitor Kit with ESP32 + Sensor
Server Room Temperature Monitor Kit with ESP32 for Rolling Anomaly Detection
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Walk into any data centre and you’ll hear the hum of cooling fans protecting racks of servers. With this kit, you’ll build a compact monitor that continuously reads temperature, humidity, and air quality, then flags unusual patterns before they become costly outages. The ESP32-S3 runs a rolling mean algorithm that learns normal behaviour and triggers a red LED with a clear OLED label the moment something drifts.
What You'll Build
You’ll assemble a small, always-on device that samples sensor data every second, computes rolling averages for temperature, humidity, and gas levels, and compares each new reading against those baselines. When a sudden spike or slow drift crosses the threshold, the OLED displays the event type (e.g., “TEMP ANOMALY”) and the red LED flashes. It’s a practical tool you can place in a server rack, a networking closet, or any sensitive equipment room.
What You'll Learn
- Program the ESP32-S3 to read real-time data from DHT22 and MQ-135 sensors.
- Implement a rolling mean anomaly detection algorithm using a circular buffer in Arduino IDE.
- Display sensor readings and anomaly alerts on a 0.96-inch OLED using I2C communication.
- Calibrate gas sensor baselines and set thresholds for different environments (server room, lab, etc.).
Kit Contents
| Component | Quantity |
|---|---|
| ESP32-S3 Dev Board | x1 |
| MQ-135 Gas Sensor | x1 |
| DHT22 | x1 |
| 0.96in OLED | x1 |
| 5mm Red LED | x2 |
| 4.7kΩ Resistors | x5 |
| 10kΩ Resistors | x5 |
| 100nF Caps | x5 |
| 400-pt Breadboard | x1 |
| M-M Wires | x20 |
| Micro USB Cable | x1 |
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 suits CBSE Class 11–12 students building their first IoT sensor project, ATL Tinkering Lab members exploring environmental monitoring, and first-year B.Tech ECE/EEE students assembling a mini-project that demonstrates real-world data processing. It’s also a fast-start option for Smart India Hackathon squads needing a reliable, pre-validated sensor setup.
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?
Scan the QR code on the kit box to access the AI build companion trained on this exact project. It offers step-by-step debugging, wiring diagrams, and code explanations. WhatsApp and email support are also available within India.
Can this monitor detect smoke or gas leaks in a server room?
The MQ-135 sensor is sensitive to ammonia, benzene, alcohol, and smoke, so it can detect early signs of overheating components or smoke. The rolling mean anomaly algorithm flags any sudden rise above the learned baseline, making it suitable for early warning of electrical faults.
How do I adjust the sensitivity of the anomaly detection?
The AI companion guides you through modifying the threshold multiplier and the rolling window size in the Arduino sketch. You can increase or decrease sensitivity based on your environment’s normal fluctuations.
Does this kit include a cloud dashboard or data logging?
The base kit focuses on local monitoring with OLED and LED. However, the ESP32-S3 has built-in Wi-Fi, and the AI companion provides optional code snippets to send data to a free IoT platform like ThingSpeak or Blynk, which you can add with no extra hardware beyond your Wi-Fi network.
Data Centre — MQ-135 + DHT22 feed a rolling mean anomaly detector on ESP32-S3. LED flashes and OLED labels event type.
What's in this kit
- ESP32-S3 Dev Board
- MQ-135 Gas Sensor
- DHT22
- 0.96in OLED
- 5mm Red LED x2
- 4.7kΩ Resistors x5
- 10kΩ Resistors x5
- 100nF Caps x5
- 400-pt Breadboard
- M-M Wires x20
- Micro USB Cable
Other projects you can build
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