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HVAC Performance Monitor Kit v21
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HVAC Performance Monitor Kit v21

SKU: CDN-KIT-3989 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 1,380.00
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HVAC Performance Monitor Kit – Detect Temperature Anomalies with ESP32 & Z-Score

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: 3-4 hrs Age: 15-18 Skill: Z-score anomaly detection & MQTT

Heating, ventilation, and air conditioning (HVAC) systems hum in the background until something drifts—a clogged filter, a refrigerant leak, or a failing compressor. This kit puts you in control. You’ll build a wireless monitor that continuously samples temperature from a DHT22 sensor, computes a running Z-score baseline, and fires an MQTT alert the moment readings slip beyond three standard deviations—long before equipment damage or energy waste sets in.

What You'll Build

An ESP32-powered HVAC performance monitor that mounts near a vent or chiller line. Green LEDs glow when temperature stays within normal statistical bounds; red LEDs flash and an MQTT publish triggers when the Z-score crosses a configurable threshold. You’ll see exactly how machine-like anomaly detection flags subtle, real-world faults without constant manual checking.

What You'll Learn

  • Read DHT22 humidity and temperature data on an ESP32 using Arduino IDE libraries
  • Implement a rolling Z-score anomaly detection algorithm in C++ on the ESP32
  • Set up a local MQTT broker (Mosquitto) and publish sensor state alerts
  • Use bi-colour LED status indicators for in-situ fault signalling

Kit Contents

Component Quantity
ESP32 Dev Board 1
DHT22 1
LED Red 2
LED Green 2
220Ω Resistors 5
MicroUSB Cable 1
M-M Wires 15

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

Ideal for CBSE Class 11-12 students tackling IoT in their Skill Subject, ATL Tinkering Lab innovators prototyping predictive maintenance ideas, and B.Tech ECE freshers who want a hands-on sensor analytics project. No prior statistics knowledge is required—the Z-score logic is explained step-by-step in the build companion.

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?

Your AI companion covers calibration, MQTT setup, and Z-score implementation. If you prefer a human, our WhatsApp support responds within 4 business hours.

Do I need to run my own MQTT broker?

For the local alert workflow, yes—the guide walks you through installing Mosquitto on a laptop or Raspberry Pi in under 10 minutes. Cloud broker integration is an optional extension.

Does the Z-score calculation happen on the ESP32 itself?

Yes, the ESP32 maintains a moving mean and standard deviation window, computes the Z-score of each new reading, and compares it to a threshold you can tune—all without an internet connection.

Can this be entered in a CBSE or science fair project?

Absolutely. The kit maps directly to CBSE AI/IT curriculum units on data analytics and IoT. The anomaly detection principle and real-time dashboarding make a compelling project showcase.

HVAC — Z-score anomaly detection on ESP32 monitors DHT22 temperature data — alerts MQTT broker when readings deviate from baseline.

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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