An air purifier (100) includes a detection unit (130) and a control unit (110). The detection unit (130) periodically detects environment information. The environment information indicates information relating to an environment around the air purifier (100). The control unit (110) determines whether or not the environment information satisfies a specific condition a plurality of times during the specific time period (Ts) corresponding to an event within a prescribed period (Ta). In a case where the control unit (110) determines that the environment information satisfies the specific condition a plurality of times, the control unit switches a mode from a learning mode to an implementation mode. In the implementation mode, in a case where the environment information meets a trigger during the specific time period, the control unit (110) performs event operational control.

A computer implemented method and system for an automated customer service platform with human augmented conversational interleaving is disclosed. The method comprises estimating a latent load of the air in a zone being disinfected; selecting a set of one or more control from a plurality of control that is expected to improve the optimization metric; optimizing a metric for the set of allowable control; and changing the setpoints of the set of control when the optimized metric has converged.

A computer implemented method and system for an automated customer service platform with human augmented conversational interleaving is disclosed. The method comprises estimating a latent load of the air in a zone being disinfected; selecting a set of one or more control from a plurality of control that is expected to improve the optimization metric; optimizing a metric for the set of allowable control; and changing the setpoints of the set of control when the optimized metric has converged.

A computer implemented method and system for an automated customer service platform with human augmented conversational interleaving is disclosed. The method comprises estimating a latent load of the air in a zone being disinfected; selecting a set of one or more control from a plurality of control that is expected to improve the optimization metric; optimizing a metric for the set of allowable control and changing the setpoints of the set of control when the optimized metric has converged.

A computer implemented method and system for an automated customer service platform with human augmented conversational interleaving is disclosed. The method comprises estimating a latent load of the air in a zone being disinfected; selecting a set of one or more control from a plurality of control that is expected to improve the optimization metric; optimizing a metric for the set of allowable control and changing the setpoints of the set of control when the optimized metric has converged.

An indoor air quality (IAQ) system for a building includes an IAQ sensor that is located within the building and that is configured to measure an IAQ parameter. The IAQ parameter is one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air. A mitigation module is configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; and selectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold. A clean module is configured to determine a clean value for the IAQ parameter. A thresholds module is configured to, based on the clean value, determine the first ON threshold and the OFF threshold.

An indoor air quality (IAQ) system for a building includes an IAQ sensor that is located within the building and that is configured to measure an IAQ parameter. The IAQ parameter is one of: an amount of particulate of at least a predetermined size present in air; an amount of volatile organic compounds (VOCs) present in air; and an amount of carbon dioxide present in air. A mitigation module is configured to: selectively turn on a mitigation device based on a comparison of the IAQ parameter with a first ON threshold and a second ON threshold; and selectively turn off the mitigation device based on a comparison of the IAQ parameter with an OFF threshold. A clean module is configured to determine a clean value for the IAQ parameter. A thresholds module is configured to, based on the clean value, determine the first ON threshold and the OFF threshold.

Disclosed is a multifunctional storage system including a machine chamber and a compartment, in which clothes are received, the multifunctional storage system including: a heat pump unit located in the machine chamber and including an evaporator, a condenser, a compressor, and a pressure controller; a moisture supply unit coupled to the heat pump unit and including a humidification filter; and a fan unit configured to circulate air in the machine chamber from the evaporator toward the condenser, wherein the moisture supply unit is coupled to a front end of the evaporator with reference to a circulation direction of the air, and wherein moisture is supplied to the humidification filter according to a preset condition, and loads of the evaporator and the condenser are increased as the moisture is supplied to the air when the air passes through the humidification filter.

Disclosed herein is an artificial intelligence device. An an artificial intelligence device according to an embodiment of the present invention includes a communication unit that obtains an external environmental factor and an internal environmental factor collected by a sensor and a processor that provides the internal environmental factors to an environmental factor prediction model to predict a subsequent internal environmental factor and allows a ventilation system and an air cleaning system to operate cooperatively with each other based on the predicted internal environmental factor.

Disclosed herein is an artificial intelligence device. An an artificial intelligence device according to an embodiment of the present invention includes a communication unit that obtains an external environmental factor and an internal environmental factor collected by a sensor and a processor that provides the internal environmental factors to an environmental factor prediction model to predict a subsequent internal environmental factor and allows a ventilation system and an air cleaning system to operate cooperatively with each other based on the predicted internal environmental factor.