Abstract: This invention presents an integrated air and hydronic testing, adjusting, balancing, and reporting system. Comprising essential HVAC data collection equipment, data processing software, and advanced algorithms leveraging machine learning and artificial intelligence, the system analyzes building design, energy conservation, and actual conditions against infection control requirements, contamination removal requirements, and regulatory standards. The invention's methodology gathers room condition data and applies ventilation regulations and structural attributes to assess adherence to air balance standards, breathing zone requirements, exhaust rates, energy efficiency, occupational safety, infection control, and regulatory mandates.

Abstract: The invention is an airborne infection control monitoring, condition data collection, testing and reporting system. The system includes new sensors and other equipment needed to collect HVAC data, the placement of the sensors in the HVAC system, software needed to retrieve the data, and the algorithms used in analyzing the data to the required building design specifications. The proposed method and system would collect current room condition data and apply it to a virtual ventilation, room and equipment structure to efficiently determine if the building's rooms meet the air balance and infection control requirements.

Abstract: The invention is an airborne infection control monitoring, condition data collection, testing and reporting system. The system includes new sensors and other equipment needed to collect HVAC data, the placement of the sensors in the HVAC system, software needed to retrieve the data, and the algorithms used in analyzing the data to the required building design specifications. The proposed method and system would collect current room condition data and apply it to a virtual ventilation, room and equipment structure to efficiently determine if the building's rooms meet the air balance and infection control requirements.