Introduction
“Smart Seoul Data of Things (DoT)”
The Smart Seoul Data of Things (S-DoT) is smart city infrastructure established by the Seoul Metropolitan Government (SMG). IoT sensors are installed throughout Seoul to analyze diverse data of urban phenomena, such as particulate matter, population, noise and light intensity, to prepare urban policies based on the data and use the relevant data for discovering citizen-friendly services, and realize a safe city by collecting and using urban safety data from smart CCTVs.
Background
Careful collection of data and systematic analysis has become necessary to check the newly occurring urban phenomenon as cities gradually become more complex and diverse. S-DoT preemptively secures and analyzes urban data to create data-based urban policies and allow it to be used for discovering citizen-oriented services.




Details
Various urban environmental information (17 types, including air pollution, weather, noise) is collected in real-time to establish data-based urban policies and provide citizen-oriented services.
- Installations by year (1,100 locations as of May 2022)
- 850 installations (2019) → additional 250 installations (2020)
Air pollution, weather, noise, etc. (850 items)
※ 6,050 units of 11 types
UV rays (850)
Lights (850)
Vibration (850)
Visitors (50)
Wind direction (12)
Wind speed (12)
Radiant heat (30)Air pollution, weather, noise, etc. (220 items)
※ 1,590 units of 17 types
Portable (30 items): Basic sensor, UV ray, light, vibration, odor, air pollutants, wind direction/speed, ozone
UV rays (20)
Lights (20)
Vibration (20)
Visitors (50)
Wind direction (20)
Wind direction (20)
Air pollutants (60; 3 types)
Radiant heat (10)
Odor (40; 2 types)Air pollution, weather, noise, etc. (1,100 items)
※ 7,644 units of 17 types
UV rays (900)
Lights (900)
Vibration (900)
Visitors (100)
Wind direction (62)
Wind direction (62)
Air pollutants (150; 3 types)
Ozone (30)
Radiant heat (40)
Odor (100; 2 types)
- 850 installations (2019) → additional 250 installations (2020)
- Items for measurement: 17 types of urban phenomena and citizen behavior data
- Particulate matter, weather, humidity, light, noise, vibration, UV rays, wind direction, wind speed, visitors, ozone (O3), odor (NH3, H2S), air pollution (CO, NO2, SO2), black bulb (city radiant heat measurement)
Examples
- Estimation of fine dust using S-DoT sensor and CCTV data (Nov. 2021)
- Analysis of the living environment of mountain, river, and urban regions using S-DoT data (May 2021)
- Analysis of living environment (temperature) for each urban space using S-DoT sensor data (Nov. 2020)
- Analysis of 850 urban phenomena after the occurrence of COVID-19 through integrated IoT sensor and traffic data (Jun. 2020)
- Analysis of indoors air quality of public facilities using IoT urban data (Feb. 2020)
S-DoT Data
Collected S-DoT data is uploaded on the SMG website.