NAOMSCAN
The city subways used by millions of people a day are the most important
means of public transportation. Especially, due to the characteristics of the
subway operating in the underground space of the complex downtown area,
we are having difficulty managing indoor air quality.
NAOM has intelligent air quality management technology that utilizes underground
air quality information collection, processing, and analysis technology.
NAOMSCAN
This device collects data that is specific to the subway environment
in real time, including data on fine dust, carbon monoxide
concentration related to the inflow of external pollution, and
pressure changes that suggest the entry and exit of subway vehicles.
The various data collected from NAOMSCAN intelligently drive the subway
fine dust management system through the AI Software of the NAOM.
This device collects data that is specific to the subway environment
in real time, including data on fine dust, carbon monoxide
concentration related to the inflow of external pollution, and
pressure changes that suggest the entry and exit of subway vehicles.
The various data collected from NAOMSCAN intelligently drive the subway
fine dust management system through the AI Software of the NAOM.
NAOMSCAN
Through big data analysis on air quality information and system
operation information, fine dust concentration is predicted.
NAOM provides a solution that proactively addresses fine dust
pollution problems with smart technology in subway.
Through big data analysis on air quality information and system
operation information, fine dust concentration is predicted.
NAOM provides a solution that proactively addresses fine dust
pollution problems with smart technology in subway.
NAOMSCAN
problems. Various artificial intelligence analyses (CNN, RNN, Random Forest, etc.)
help predict fine dust and pre-emptively operate the cleanup system.
problems. Various artificial intelligence analyses (CNN, RNN, Random Forest, etc.)
help predict fine dust and pre-emptively operate the cleanup system.