Overview

This project uses a structured, multi-layered measurement and validation approach to ensure that all environmental conditions, system performance metrics, and intervention outcomes are continuously recorded, verified, and auditable.

The methodology is built on three core principles:

• Continuous data collection (not snapshots)
  
  

• Non-invasive verification before intervention
  
  

• Post-action validation of measurable outcomes
  
  

🔹 1. Data Collection Framework

Environmental and system performance data will be collected using a combination of:

Environmental Sensors

• Temperature
  
  

• Relative humidity
  
  

• Airflow and ventilation indicators
  
  

• Indoor air quality proxies (e.g., CO₂ where applicable)
  
  

System Performance Monitoring

• Electrical consumption (kW / amp draw)
  
  

• Thermal output estimation (BTU)
  
  

• Equipment runtime and cycling behavior
  
  

• Vibration and mechanical indicators (where applicable)
  
  

Occupancy Data

• Classroom-level occupancy counts
  
  

• Time-based occupancy patterns
  
  

All data will be time-stamped and associated with specific locations (classrooms), forming a continuous environmental dataset.

🔹 2. Atmospheric Integrity Record (AIR) Validation

All collected environmental data is structured into the Atmospheric Integrity Record (AIR).

Validation includes:

• Continuous logging of environmental variables
  
  

• Detection of deviations from defined thresholds
  
  

• Time-based tracking of condition stability
  
  

This ensures that environmental conditions are not inferred, but continuously documented and verifiable over time.

🔹 3. Baseline Establishment (NIRET)

Before any intervention:

• Non-invasive measurements are used to establish baseline system behavior
  
  

• Environmental conditions are recorded under normal operating conditions
  
  

• System performance (thermal, electrical, airflow) is evaluated without disruption
  
  

This baseline serves as the reference point for all subsequent comparisons.

🔹 4. Intervention Trigger Validation

Interventions are only initiated when data indicates deviation from defined performance thresholds.

Validation includes:

• Documented threshold exceedance
  
  

• Correlation between environmental conditions and system performance
  
  

• Justification recorded prior to action (NIRET compliance)
  
  

This ensures that all actions are:

• Evidence-based
  
  

• Traceable
  
  

• Repeatable
  
  

🔹 5. Post-Intervention Verification

After any intervention:

• Environmental conditions are re-measured
  
  

• System performance is re-evaluated
  
  

• Data is compared against baseline conditions
  
  

Validation confirms:

• Whether conditions improved
  
  

• Whether performance targets were achieved
  
  

• Whether results are sustained over time
  
  

This step ensures that outcomes are measured—not assumed.

🔹 6. KPI Measurement and Tracking

All KPIs defined in Section 4 are calculated using:

• Time-series environmental data (AIR)
  
  

• System performance data
  
  

• Occupancy-adjusted metrics
  
  

Examples:

• Time Within Target Range (%)
  → Calculated from continuous environmental data
  
  

• Energy per Protected Occupant (kW/person)
  → Derived from energy input and occupancy data
  
  

• Reduction in High-Risk Conditions
  → Measured by comparing pre- and post-intervention time outside thresholds
  
  

All KPI calculations are:

• Data-driven
  
  

• Reproducible
  
  

• Auditable
  
  

🔹 7. Validation Methodology for Transmission Risk Reduction

Transmission risk reduction will be validated using a combination of:

• Proxy environmental metrics
  (e.g., ventilation rates, humidity ranges, air exchange effectiveness)
  
  

• Before-and-after condition comparison
  (baseline vs post-intervention performance)
  
  

• Time-based exposure analysis
  (duration spent in high-risk conditions)
  
  

Where applicable, validated modeling approaches may be used to correlate environmental improvements with reduced transmission probability.

🔹 8. Data Integrity and Auditability

All data will be:

• Time-stamped
  
  

• Location-specific
  
  

• Stored in structured records (AIR / EIR)
  
  

This ensures:

• Full traceability of conditions and actions
  
  

• Ability to audit system performance
  
  

• Transparency in reporting outcomes
  
  

“This methodology ensures that every environmental condition, system action, and outcome is measured, recorded, and verifiable—transforming airborne risk reduction into a documented and auditable process.”