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Server Room Temperature Monitor Kit with ESP32 + Sensor
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Server Room Temperature Monitor Kit with ESP32 + Sensor

SKU: CDN-KIT-3310 Brand: Compoden Category: Electronics > AI & Advanced Boards > Project Kits
Rs. 3,010.00
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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.

Difficulty: Beginner Build Time: 2-3 hrs Age: 15-18 Skill: Implementing rolling mean anomaly detection with MQ-135 and DHT22

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

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

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