Subway Solution

S-Series 

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.


DAP has intelligent air quality management technology that utilizes underground
air quality information collection, processing, and analysis technology.

DAP-S30/S30W

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 S30 intelligently drive the subway
fine dust management system through the AI Software of the DAP.
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 S30 intelligently drive the subway
fine dust management system through the AI Software of the DAP.
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DAP-S70

Through big data analysis on air quality information and system
operation information, fine dust concentration is predicted.
DAP 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.
DAP provides a solution that proactively addresses fine dust
pollution problems with smart technology in subway.

DAP-S10

Establish big data collection and analysis systems to address subway fine dust
problems. Various artificial intelligence analyses (CNN, RNN, Random Forest, etc.)
help predict fine dust and pre-emptively operate the cleanup system.
Establish big data collection and analysis systems to address subway fine dust
problems. Various artificial intelligence analyses (CNN, RNN, Random Forest, etc.)
help predict fine dust and pre-emptively operate the cleanup system.
S-Series Application
DAP-S30/S30W
DAP-S70
DAP-S10