Indoor air quality (IAQ) monitoring measures CO2, particulate matter, VOCs, temperature, humidity, and other environmental parameters that affect occupant health, cognitive performance, and well-being — enabling building operators to respond to air quality degradation before occupants experience symptoms and to demonstrate the healthy building standards that attract tenants and employees.
Indoor air quality has a measurable impact on cognitive performance — studies consistently show that elevated CO2 and VOC levels impair decision-making and focus. Post-pandemic, tenant and employee expectations for air quality transparency have increased significantly. IAQ monitoring platforms that provide real-time visibility, trend analysis, and WELL Building certification support are increasingly a competitive differentiator for commercial real estate and corporate facilities. RLM advises on IAQ sensor selection, monitoring platform evaluation, and the HVAC integration that enables automated response to air quality conditions.
A structured advisory process — from use case definition and platform evaluation to deployment architecture and ongoing optimization.
We assess your IAQ monitoring requirements — regulatory compliance obligations (OSHA, ASHRAE 62.1), certification targets (WELL, LEED, Fitwel), tenant disclosure commitments, and the HVAC control integration that determines sensor placement.
We select IAQ sensors — electrochemical sensors for CO2, laser particle counters for PM2.5/PM10, photoionization detectors for VOCs — and design placement per ASHRAE guidelines to provide representative measurements of occupied zone air quality.
We evaluate IAQ monitoring platforms — Awair Omni, Kaiterra Sensedge, Siemens Comfy, Samsara, and BMS-integrated solutions — against your certification requirements, tenant-facing display capabilities, and the HVAC automation integration that enables real-time air quality response.
We design the HVAC control integration for demand-controlled ventilation — adjusting fresh air intake based on measured CO2 levels, increasing filtration during elevated particulate events, and the fault detection that identifies HVAC system failures contributing to air quality degradation.
The dimensions that determine whether an IoT deployment delivers lasting operational value — and the questions RLM helps you answer before any commitment.
IAQ sensor technologies vary dramatically in accuracy and cross-sensitivity. Evaluate sensor accuracy specifications — particularly for CO2 (NDIR vs. non-dispersive electrochemical), VOCs (broad vs. compound-specific), and PM2.5 (laser vs. optical) — against your measurement accuracy requirements.
IAQ sensors drift and require periodic calibration. Evaluate calibration interval requirements, field calibration capabilities, and the automatic baseline correction algorithms some platforms use to maintain calibration between service intervals.
IAQ systems that include occupancy detection raise tenant privacy considerations. Evaluate anonymization approaches for any occupancy-correlated data and the tenant disclosure requirements for data collection in leased spaces.
Automated HVAC adjustments based on IAQ sensor readings require safeguards against sensor failures causing HVAC overcorrection. Evaluate the sensor validation design and the HVAC automation limits that prevent sensor errors from creating uncomfortable or unsafe conditions.
WELL, LEED, and Fitwel certifications have specific sensor accuracy, placement, and reporting requirements. Evaluate certification requirements in detail before selecting sensors and platforms — not all IAQ systems meet the specific technical standards required for certification.
"RLM helped us select and deploy an IoT platform across 28 facilities in under six months. Their vendor-neutral approach saved us from a costly mistake with our initial shortlist."
"We needed smart metering and energy management across our campus portfolio. RLM mapped the vendor landscape, ran the evaluation, and we're now hitting our ESG targets ahead of schedule."
Talk to an RLM advisor who specializes in enterprise IoT deployments. Independent guidance from platform selection through operational deployment.