Pathogen Mitigation Technologies in HVAC Air Filtration

A full air conditioning system for preventing airborne transmission of microorganisms through a multi-stage purification process. The system comprises an air conditioning unit with an air duct system, where the air duct system includes an air supply pipe for delivering conditioned air to a room, an air return pipe for discharging room air, and a fresh air pipe for delivering outdoor fresh air to the air conditioning unit. The air conditioning unit has a casing with a ventilation cavity divided into a first cavity and a second cavity by a partition. The system incorporates sequential purification components, including a purification component, a heat exchange component, and a fan component, arranged in the first cavity along the airflow direction. The fan component drives airflow through the first purification component and heat exchange component, then enters the second cavity through the purification component and heat exchange component in sequence.

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Building HVAC system that automatically monitors and controls indoor air quality (IAQ) while maintaining building standards. The system uses real-time environmental data and performance metrics to determine the required clean air delivery rate, while continuously monitoring and adapting to changing conditions. It calculates the actual IAQ performance of the HVAC system and compares it to the required standards, providing an infection risk score. The system then implements interventions to maintain the required IAQ standards, automatically adjusting parameters and monitoring performance as needed.

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A quarantine air-conditioning system for preventing airborne infectious disease spread, which accurately predicts infection risk through pathogen-specific analysis of indoor air quality. The system integrates complex environmental sensors with a pathogen detection system to monitor airborne pathogens and their interaction with the indoor environment. The system's central control unit analyzes air quality data and pathogen detection results to calculate infection risk, enabling proactive measures like enhanced air purification and temperature control when necessary. This approach provides more accurate risk predictions than traditional systems by considering the unique characteristics of each airborne pathogen.

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Operating an HVAC system to provide adequate ventilation while minimizing energy usage and maintaining comfort through dynamic control of fresh air intake. The system employs an advanced control strategy that continuously monitors indoor air quality parameters and adjusts the fresh air intake damper based on pathogen transmission risk levels. When the risk exceeds predetermined thresholds, the system automatically increases the fresh air flow rate to maintain occupant health while maintaining system performance. This approach enables optimal ventilation while balancing energy efficiency with occupant comfort.

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A method for evaluating air quality and infection risk in buildings by simulating airflow dynamics and infectious agent behavior. The method creates a detailed 3D model of a building with specific layout, ventilation rates, and population densities, then analyzes airflow patterns and infectious agent concentrations through computational fluid dynamics. By integrating these factors into a comprehensive simulation framework, the method calculates an effective transmission coefficient for each space and time, enabling quantitative risk assessments of airborne pathogens in buildings.

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A full air conditioning system that prevents airborne transmission of microorganisms through a comprehensive purification, heating, and cooling process. The system comprises an air conditioning unit with a multi-stage purification, heating, and cooling configuration. The system incorporates a dedicated air supply, return, and fresh air ducts, with each stage featuring a purification component, heat exchanger, and fan. The purification component removes airborne microorganisms, while the heat exchanger provides thermal comfort. The fan ensures efficient air distribution throughout the system. The system integrates these components in a single, self-contained unit, eliminating the need for separate purification and cooling systems.

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A system for detecting and localizing airborne contaminants within HVAC systems and enclosed spaces. The system integrates sensors into the ducting and associated ducts, mapping their locations within the ducts and between spaces. By analyzing sensor data, the system determines the source and intensity of airborne contaminants, enabling precise location determination and targeted maintenance.

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A comprehensive database management system for HVAC systems that enables real-time verification of regulatory compliance across various building types. The system integrates design, as-built, and operational data into a single, structured database, providing automated validation of HVAC system performance. It includes modules for HVAC equipment, room configurations, envelope crossings, and regulatory standards, enabling comprehensive testing of air balance, differential pressure, ventilation rates, air change rates, temperature control, humidity control, and infection prevention parameters. The system ensures accurate reporting of compliance, including ASHRAE standards, while providing detailed insights into HVAC system performance and operational conditions.

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HVAC system that optimizes indoor air quality through selective sterilization. The system monitors air quality in multiple zones, triggering sterilization when quality exceeds established thresholds. This approach prevents system-wide contamination while maintaining optimal temperature control. The system employs a zone-by-zone approach, with selective sterilization initiated for critical areas where quality exceeds safe limits.

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A system for detecting and localizing airborne contaminants in HVAC systems and connected spaces through integrated monitoring of duct and indoor air flows. The system employs a network of sensors positioned at critical duct junctions, including vents and return ducts, to monitor contaminant concentrations and identify sources. By mapping sensor locations within the ducting system, the system determines the source and intensity of airborne contaminants, enabling targeted maintenance and inspection. This approach enables real-time monitoring of HVAC system air quality while providing detailed information on contaminant sources and intensity, facilitating more effective maintenance operations.

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Air-conditioning system control method for indoor environment aerosol safety, particularly for crowded public places. The method integrates aerosol safety analysis with traditional air-conditioning system control, enabling the safe duration of aerosol in the indoor environment to be measured. The system analyzes aerosol propagation through air-conditioned spaces and personnel breathing patterns, establishing a probability model for aerosol inhalation. By combining this model with the traditional air-conditioning system control parameters, the method measures the safety of the indoor environment created by the air-conditioning system, and the control strategy is proposed based on this safety duration.

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Method and system for controlling airborne pathogens in indoor spaces through optimized ventilation control. The method integrates real-time particulate matter size and concentration, CO2 levels, and relative humidity to predict pathogen presence. It then dynamically controls ventilation rates based on these parameters to maintain optimal indoor air quality. The system employs predictive models that correlate real-time data with pathogen characteristics, enabling targeted ventilation strategies to prevent pathogen transmission. This approach ensures effective air filtration while minimizing energy consumption and maintaining occupant health.

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Artificial intelligence platform for microorganism elimination through machine learning-driven detection, identification, and treatment of airborne, surface, and object-borne microorganisms. The platform employs high-resolution imaging and sensor technologies to capture and analyze microorganism behavior, while its AI algorithms learn and adapt to identify specific microorganisms and their behaviors. The platform enables rapid, accurate, and cost-effective elimination of microorganisms through targeted treatment methods, including zapping, laser treatment, and surfactant-based applications.

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Optimizing HVAC system performance to minimize energy consumption while controlling indoor air quality and infection risk. The system employs predictive control and machine learning to develop optimal operating strategies for medium-sized commercial buildings. It integrates occupancy prediction, weather forecasting, and air quality modeling to determine the most effective control actions for heating, ventilation, and air conditioning systems. The system integrates with existing building automation systems and rooftop units, enabling real-time operation based on forecasted conditions and historical data.

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Fan coil unit and air conditioning equipment that addresses the issue of airborne pathogens in HVAC systems. The unit incorporates a sterilization module with a UV-based inactivation system that removes airborne pathogens from the air stream. The sterilization module is connected to the return air duct and the supply air duct, with a dedicated condenser for water collection. The UV system uses ultraviolet light to inactivate bacteria and viruses in the water, providing a comprehensive solution for maintaining indoor air quality.

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A comprehensive monitoring system for healthcare facilities and commercial buildings, enabling real-time assessment of air balance and infection control conditions through automated data collection, automated testing, and comprehensive reporting. The system integrates building specifications, HVAC equipment, and regulatory standards into a single database, allowing automated testing and reporting of air balance and infection control parameters. It employs a virtual representation of the building's layout, with automated testing of airflow, pressure, and differential pressure across rooms and ducts. The system provides instant and accurate reporting of critical infection control conditions, enabling facility managers to identify and address potential health risks before they become critical.

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A computer implemented system and method for analyzing real-time air quality measurements of building rooms or enclosed spaces to calculate an overall airborne virus infection risk score. The system autonomously scans, detects, analyzes, and informs of known critical pollutants, calculates the risk and provides actionable recommendations on how to minimize risk for building occupants. The system uses networked air quality sensors to continuously monitor and analyze air quality parameters, determining an overall risk score that spans numerically from 0 to 100 and categorizes risk levels into three categories: Low, Moderate, and High.

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HVAC system for transit vehicles that incorporates advanced air purification and sanitization through multiple stages of filtration and treatment. The system comprises a pre-filter, a filter with anti-pathogen material, and a treatment dispenser located between the return air duct and the filter. The pre-filter captures airborne contaminants before they reach the filter, while the filter itself incorporates an anti-pathogen material to remove airborne pathogens. The treatment dispenser provides additional sanitizing agents, including air fresheners, deodorants, and cleaners, to the filtered air before it reaches the heat exchanger. This multi-stage approach ensures comprehensive protection against airborne pathogens while maintaining system efficiency.

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System and method for monitoring and controlling biological pollutant levels in buildings through predictive modeling of indoor air quality. The system integrates air quality sensors with a controller that manages remediation devices, enabling automated pathogen remediation based on air quality trends. The predictive model estimates biological pollutant levels from air quality data, enabling targeted remediation actions to maintain clean indoor air quality.

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Building HVAC system with integrated disinfection control that optimizes both air quality and occupant comfort. The system employs dynamic temperature models and contagion quantum models to generate optimal disinfection strategies, while incorporating airside HVAC equipment design parameters. The system's control decisions are based on real-time environmental conditions, including temperature, humidity, and particle concentrations, to achieve the desired level of disinfection while maintaining occupant comfort.

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