An air management system for a common indoor room or space that comprises a plurality of air outflow apertures or vents, a plurality of air curtains having at least a portion of the air curtains separated from one another, a plurality of separated air suction intakes, and an air sterilization and/or air cleaning mechanism.

An air management system for a common indoor room or space that comprises a plurality of air outflow apertures or vents, a plurality of air curtains having at least a portion of the air curtains separated from one another, a plurality of separated air suction intakes, and an air sterilization and/or air cleaning mechanism.

The fog removal apparatus comprises a plurality of fog barriers for removing moisture in the fog by absorbing moisture in the fog and by allowing air to pass therethrough when the fog passes through the fog barrier on the wind, and a fog barrier support for supporting the fog barrier. The fog barrier comprises a perforated plate arranged on an outer surface of the frame to support the fog barrier; a coated mesh having a porous waterproofing function; a super absorbent sheet for absorbing a large amount of moisture from the fog passing through the fog barrier; a heating means arranged adjacent to the super absorbent sheet to heat and dry the coated mesh and the super absorbent sheet.

The fog removal apparatus comprises a plurality of fog barriers for removing moisture in the fog by absorbing moisture in the fog and by allowing air to pass therethrough when the fog passes through the fog barrier on the wind, and a fog barrier support for supporting the fog barrier. The fog barrier comprises a perforated plate arranged on an outer surface of the frame to support the fog barrier; a coated mesh having a porous waterproofing function; a super absorbent sheet for absorbing a large amount of moisture from the fog passing through the fog barrier; a heating means arranged adjacent to the super absorbent sheet to heat and dry the coated mesh and the super absorbent sheet.

Disclosed herein is an air cleaner disposed in an indoor space. An air cleaner according to an embodiment includes a blowing device including a suction port and a discharge port, a fan motor configured to generate an air flow, a purifying unit installed inside the blowing device to purify air, a driving portion configured to move the air cleaner, a communication unit configured to communicate with a moving agent moving in the indoor space, and a processor configured to receive status information including at least one of air quality information and dust occurrence information collected by the moving agent, determine a specific zone in which air purification is to be performed using the status information collected by the moving agent, and perform air purification in the specific zone.

Disclosed herein is an air cleaner disposed in an indoor space. An air cleaner according to an embodiment includes a blowing device including a suction port and a discharge port, a fan motor configured to generate an air flow, a purifying unit installed inside the blowing device to purify air, a driving portion configured to move the air cleaner, a communication unit configured to communicate with a moving agent moving in the indoor space, and a processor configured to receive status information including at least one of air quality information and dust occurrence information collected by the moving agent, determine a specific zone in which air purification is to be performed using the status information collected by the moving agent, and perform air purification in the specific zone.

A system and method for maintaining, monitoring and improving air quality and purity in a room or environment, such as a hospital room or operating room.

A system and method for maintaining, monitoring and improving air quality and purity in a room or environment, such as a hospital room or operating room.

Disclosed is a method of predicting the lifespan of a filter in an air cleaner based on machine learning. According to an embodiment of the present disclosure, a machine learning-based filter lifespan prediction method may more precisely predict the lifespan of a filter in an air cleaner by inputting fine dust concentration data and a history related to use of the air cleaner to a lifespan prediction model and determining the purifying efficiency and exchange time of the filter according to an output value. Intelligent air cleaner of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

A HEPA/VOC air handling system having a HEPA air filtration unit, an air handling unit, a fresh air sensor system, a return air sensor system, an air handling air sensor, and a controller.