Introduction

Indoor air quality monitoring helps building teams understand ventilation conditions across classrooms, offices, meeting rooms and enclosed work areas. The Dragino AQS01-L measures carbon dioxide, temperature, relative humidity and air pressure, then sends the readings to an IoT server through LoRaWAN®. Its wireless design supports distributed monitoring without installing communication cables at every sensing point.

What This Guide Covers

This guide explains device placement, LoRaWAN® setup, commissioning and routine maintenance. It also highlights how to use CO2 trends for ventilation decisions without treating one isolated reading as a complete diagnosis. The objective is reliable indoor air quality data across single buildings or multi-site deployments.

Why Indoor CO2 Monitoring Matters

Indoor CO2 levels can help indicate whether ventilation is keeping pace with occupancy. Monitoring trends across rooms and time periods helps teams identify spaces that may need ventilation review. Temperature and humidity data provide additional context for comfort and HVAC performance.

Common Monitoring Objectives

• Compare ventilation conditions across occupied rooms
• Identify recurring CO2 increases during peak use
• Support demand-controlled ventilation strategies
• Review classroom, office and meeting-room conditions
• Build historical indoor air quality records

CO2 readings should be interpreted with occupancy, room use and ventilation conditions. Critical health or safety concerns require appropriate professional assessment rather than relying on one sensor value alone.

Dragino AQS01-L Features

The AQS01-L is a LoRaWAN® Class A indoor air quality sensor with periodic uplinks, configurable alarms and data-logging support. It measures CO2 from 400 to 5000 ppm, with an extended range up to 10000 ppm, and also reports temperature, humidity, pressure and battery status. The device supports IN865 and other regional LoRaWAN® frequency plans.

Core Device Capabilities

• NDIR carbon dioxide measurement
• Temperature, humidity and pressure sensing
• BLE and LoRaWAN® remote configuration
• Wireless firmware update support
• Replaceable 4000mAh Li-SOCl2 battery

Dragino states that the battery can operate for more than two years under suitable settings and conditions. Frequent alarm activity and shorter reporting intervals can reduce battery life.

Choosing the Right Installation Location

Select a Representative Occupied Zone

Install the sensor where it can reflect normal room conditions rather than a temporary source of heat, moisture or concentrated exhaled air. Avoid placing it directly beside supply vents, open windows, heaters, doors or continuously occupied workstations. Use consistent mounting positions when comparing several rooms or floors.

Check Before Final Mounting

• Confirm LoRaWAN® gateway coverage
• Select a secure indoor mounting surface
• Keep the sensing area unobstructed
• Record the room and device identity
• Confirm access for battery replacement

Installing & Commissioning the AQS01-L

Register the device credentials on the selected LoRaWAN® network server before final installation. The AQS01-L uses OTAA Class A by default and has a default uplink interval of 20 minutes. After activation, verify successful joining and decoded CO2, temperature, humidity, pressure and battery data.

Recommended Commissioning Steps

• Add the DevEUI and AppKey to the server
• Confirm the correct regional frequency plan
• Activate the device and verify network joining
• Check payload decoding and dashboard values
• Test the device at the final mounting point

Allow the sensor to operate under normal room conditions before using its readings as an operational baseline. Document the reporting interval, alert thresholds and installation location for future maintenance.

Calibration, Cleaning and Battery Care

The AQS01-L uses an NDIR CO2 sensor, and Dragino states that routine calibration is generally not required for this measurement method. The device nevertheless supports factory reset, automatic baseline, target, background and zero-calibration procedures when needed. Calibration should follow the current Dragino instructions and be performed in a suitable reference environment.

Maintenance Priorities

• Keep ventilation openings free from dust
• Clean the casing with a soft dry cloth
• Monitor battery voltage through uplinks
• Review missing data and signal quality
• Apply firmware updates when appropriate

Do not use strong solvents or allow liquid to enter the enclosure. Battery replacement and calibration activities should be documented to maintain a reliable service history.

Using CO2 Data for Smarter Buildings

Cloud dashboards can display live and historical CO2, temperature, humidity and pressure data from multiple rooms. Configurable CO2 and temperature alarms can provide faster notice of threshold events, although frequent alarms may reduce battery life.

Typical Applications

• Schools, colleges and training rooms
• Offices and conference spaces
• Smart buildings and commercial facilities
• Factories, warehouses and enclosed work areas
• Multi-building campus monitoring

Collected data can support HVAC review, ventilation scheduling and maintenance investigations. Automation decisions should include suitable safeguards and should not depend on one wireless reading alone.

Best Practices for Reliable Indoor Air Monitoring

Good results depend on representative placement, stable network coverage and consistent data interpretation.

Build a Dependable Monitoring Process

Review trends across comparable occupancy periods rather than reacting to one value. Check gateway connectivity before expanding the number of sensors. Use meaningful thresholds suited to the building and operating context. Maintain device records, firmware information and battery history. Validate unusual readings through inspection or a trusted reference instrument.

Key Outcome

A well-planned AQS01-L deployment provides scalable visibility into CO2 and other indoor environmental conditions. Correct placement, configuration and maintenance help organizations obtain more dependable data for healthier and more efficient building operations.