Awexome Ray, Inc.

Nam Kyu Lee

Se Hoon Gihm

Jun Young Choi

Sung Hyun Bae

Chang Hyun Kim

Jin Young Lee

Jae-Sun Kim

Nam Ho Kim

Hong Soo Choi

Key An Um

Yoon-Jung Lee

Hong Sue Choi

Gi Hoon Yoon

Ki Hoon Yoon

Jin-Heung Sung

Woo Jae Jang

Joon Gyo Oh

Won-No Youn

Disclosed is a machine learning-based air handler and a control method thereof, the control method including collecting first data on an air quality of air flowing into the air handler, controlling a purification part based on the first data, collecting second data on an air quality of air passing through the purification part, and controlling the purification part according to a machine-learning model generated based on a setting value related to a control of the purification part, the first data, and the second data.

Machine learning-based air handler and control method thereof

This application relates to a modular electrostatic precipitator. In one aspect, the modular electrostatic precipitator includes a housing providing a flow path through which air is moved and a charging module configured to emit electromagnetic waves to the air. The precipitator may also include a first attaching/detaching unit configured to attach and detach the charging module to and from the housing and a particle collecting module configured to collect particles in the air by applying an electrostatic force to the air. The precipitator may further include a second attaching and detaching unit configured to attach and detach the particle collecting module to and from the housing.

Modular electrostatic precipitator

Growing community of inventors

Anyang-si, South Korea

Nam Kyu Lee