School PM2.5 Monitor Kit with Arduino Mega - Advanced IAQ Data Logger
School PM2.5 Monitor Kit with Arduino Mega - Build an Advanced Indoor Air Quality Data Logger for Health Impact Research
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This kit empowers you to build a classroom air quality monitor that tracks particulate matter (PM2.5), carbon dioxide (CO2), carbon monoxide (CO), temperature, and humidity - all logged to an SD card for a robust health impact study. Evaluate how ventilation, occupancy, and external pollution affect indoor air in a real school setting, then turn the data into a research-grade dataset.
What You'll Build
By assembling this sensor suite, you create a portable data logger that records IAQ metrics every second to a MicroSD card, displays real-time values on a 1.8-inch color TFT, and timestamps each entry with a DS3231 RTC. The resulting CSV file enables statistical analysis for school health reports, science fairs, or engineering capstone projects.
What You'll Learn
- Calibrate the PMS5003 optical PM2.5 sensor against standard reference instruments for accurate health studies
- Interface multiple gas sensors (MH-Z19B CO2, MQ-7 CO) over UART and analog with Arduino Mega simultaneously
- Implement real-time data logging with RTC timestamps and MicroSD storage for long-duration monitoring
- Design a multivariate IAQ analysis workflow to correlate air quality parameters with student health indicators
Kit Contents
| Component | Quantity |
|---|---|
| Arduino Mega 2560 | 1 |
| PMS5003 Particle Sensor | 1 |
| MH-Z19B CO2 Sensor | 1 |
| MQ-7 CO Sensor | 1 |
| DHT22 Temperature/Humidity Sensor | 1 |
| DS3231 RTC Module | 1 |
| MicroSD Card Module | 1 |
| 1.8in TFT ST7735 Display | 1 |
| 10k? Resistors | 10 |
| 100nF Ceramic Capacitors | 15 |
| PCB Prototype Board | 2 |
| 9V Battery Snap | 1 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
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 B.Tech ECE/EEE students conducting environmental monitoring capstones, Smart India Hackathon teams building IAQ alert systems, and researchers at ATL-equipped institutions who need baseline classroom air quality data. Also suitable for IIT, NIT, VIT, or BITS Pilani final-year projects focused on health-tech or sensor networks.
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 instantly chat with the AI companion trained on this project. For personalised help, drop a message on WhatsApp - our engineers reply within hours.
Can I run this monitor continuously for a week-long school study?
Yes. The soldered prototype board and a 9V battery (or USB power bank) allow stable 24/7 logging. A 16GB SD card stores roughly two months of 1-second interval data.
How do I link PM2.5 readings to student health complaints?
Export the CSV log and overlay it with attendance/health room visit records in Excel or Python. Our AI companion includes a sample analysis script to compute correlations and AQI spikes.
Are the sensors accurate enough for a peer-reviewed health study?
The PMS5003 is factory-calibrated and matches reference instruments within �10 �g/m�; the MH-Z19B auto-calibrates over 24 hours. You can further field-calibrate with a known source. The data is typically sufficient for epidemiological correlation studies.
School Air - PMS5003 + MH-Z19B + MQ-7 build comprehensive indoor air quality dataset for health impact study.
What's in this kit
- Arduino Mega 2560
- PMS5003 Particle Sensor
- MH-Z19B CO2
- MQ-7 CO
- DHT22
- DS3231 RTC
- MicroSD Module
- 1.8in TFT ST7735
- 10k? Resistors x10
- 100nF Caps x15
- PCB Prototype Board x2
- 9V Battery Snap
- Soldering Iron
- Solder Wire
Choose your assembly option:
- Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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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