公开(公告)号：US12188683B2

公开(公告)日：2025-01-07

申请号：US17360030

申请日：2021-06-28

Applicant: AweXome Ray, Inc.

Inventor： Hong Soo Choi ,  Jun Young Choi ,  Sung Hyun Bae ,  Nam Kyu Lee ,  Gi Hoon Yoon ,  Chang Hyun Kim ,  Se Hoon Gihm

IPC: A61L9/22 ,  B01D53/14 ,  B03C3/38 ,  F24F8/10 ,  G06N20/00

Abstract: 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.

公开(公告)号：US12083535B2

公开(公告)日：2024-09-10

申请号：US17450615

申请日：2021-10-12

Applicant: AweXome Ray, Inc.

Inventor： Hong Sue Choi ,  Jun Young Choi ,  Se Hoon Gihm ,  Sung Hyun Bae ,  Nam Kyu Lee ,  Ki Hoon Yoon ,  Chang Hyun Kim

IPC: B03C3/12 ,  B03C3/47 ,  B03C3/82

CPC classification number: B03C3/12 ,  B03C3/47 ,  B03C3/82

Abstract: 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.

公开(公告)号：US20220003440A1

公开(公告)日：2022-01-06

申请号：US17360030

申请日：2021-06-28

Applicant: AweXome Ray, Inc.

Inventor： Hong Soo Choi ,  Jun Young Choi ,  Sung Hyun Bae ,  Nam Kyu Lee ,  Gi Hoon Yoon ,  Chang Hyun Kim ,  Se Hoon Gihm

IPC: F24F8/10 ,  G06N20/00 ,  A61L9/22 ,  B03C3/38 ,  B01D53/14

Abstract: 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.