Technology Transfer Items
Fine dust removal technology
Biomimetic wind net technology inspired by Tillandsia plants
Related patents
- 환경 위험 저감을 위한 인공나무(10-2018-0025845)
Key features
- A natural-mimicking wind net technology that enhances the fine dust adsorption capacity by significantly increasing the surface area of the wires in the net through mimicking the Trichome structure of Tillandsia plants
- The wind net structure minimizes the pressure drop and increases the fine dust removal efficiency
Application field
- Reduction of fine dust particles inside the factory
- Indoor fine dust removal device
A technology that uses ultrasound to atomize water and remove fine dust particles
Related patents
- 미세입자 제거 장치 (10-2458438)
Key features
- A technology that adjusts the frequency of ultrasound to control the size of atomized water particles
- Using ultrasound with frequencies in the MHz range to atomize liquids and disperse them into the air to remove fine dust particles
Application field
- Applications of desired-sized nanoparticles in various fields
- Easily generating nano-scale fine liquid particles to effectively remove fine dust
Evaporation-driven porous membrane technology for steam generation and fine dust removal
Related patents
- 해수 담수화용 3차원 다공성 멤브레인, 그의 제조방법, 그를 포함하는 해수 담수화 장치 및 그것을 이용한 해수 담수화 방법
(출원번호: 10-2018-0136425, PCT/KR2018/015514, 10-2018-0025845)
Key features
- An inexpensive evaporation method using a membrane with a 99.997% high efficiency in water evaporation
- A light-assisted vapor generation technology with 11.2 times higher fine dust removal performance compared to cases without a membrane
Application field
- An evaporation-based humidifier that utilizes light irradiation to evaporate water
- An air purification device that efficiently removes fine dust particles from the air
Fine dust concentration measurement technology utilizing hologram technology based on artificial intelligence (AI)
Related patents
- 홀로그래픽 스페클 패턴 기반 입자상 물질들의 농도 예측 모델 및 이의 생성 방법 (10-2555181)
Key features
- Real-time measurement of particle concentration is achievable from holographic speckle images of fine dust without requiring a separate labeling process
- Shape information is extracted from hologram images of particulate matter obtained using DHM technique based on smartphones, and concentration distribution based on dust size is accurately measured using AI-based regression analysis
Application field
- Measure fine dust concentration in real-time with ease using a smartphone