Dataset of Dual-Fan Air Purifier Control System for Under-Actuated Zones

This dataset contains synchronized multi-sensor recordings collected from a dual-fan air purifier system operating in an under-actuated indoor zone. The system consists of two fans whose behavior is influenced jointly by environmental conditions, occupancy activities, airflow dynamics, and zone characteristics. Since airflow is not independently controlled for each sub-area, the system exhibits dynamic variations that are important for research on intelligent ventilation, HVAC control, and adaptive indoor climate modeling. The dataset includes 4,800 records and 57 features, capturing environmental, occupancy, mechanical, and contextual information used to model and predict dual-fan control increments for intelligent air purifier and HVAC systems.

Data Acquisition
Location: Universitas Trilogi Library, Jakarta
Environment Type: Under-actuated zone with three sub-areas
Sampling Interval: 5 minutes
Duration: 4 weeks of continuous monitoring
Sensors Used:
- CO₂, VOC, PM₂.₅
- Temperature, humidity, dew point
- Air pressure, airflow volume
- Occupancy counts (sitting, standing, walking, etc.)
- Mechanical variables (fan speed, ventilation split ratio)

All sensor readings were time-synchronized and validated before integration.