Customer Story:

Seoul Weather

circle lines

seoulweather_logo

Seoul Weather is a weather application that reports optimal exercise times via Twitter, created by Haesung Lee. More specifically, Seoul Weather’s goal is to identify and report the optimal time to exercise outdoors — which factors in the time of day with the least particulate matter (PM) pollution in the air, as well as other factors.

Seoul Weather used InfluxDB as its purpose-built time series database, alongside a number of other products such as Amazon Web Services (AWS), Node-RED (Node.js) and Jupyter Notebook, as well as Twitter, to predictively analyze machine data using machine learning algorithms.

Haesung found that InfluxDB conveniently stored weather and pollution data, as well as IoT metrics collected in real-time through AWS IoT. He appreciated how simple it was to visualize the data in conjunction with Grafana, which made it easier to analyze the time series data with machine learning algorithms and report weather and pollution data accurately.

Helping optimize citizens’ exercise times

By collecting air, temperature and pollution data

Enabling ML models

To improve the predictive analysis of weather conditions

Better IoT monitoring

Used InfluxDB to collect weather and sensor metrics data in real time

Technologies Used

Related Customer Stories

ADLINK-logo

ADLINK

ADLINK stores and analyzes military and aerospace test machine sensor data to gain operational efficiency insights.

Bevi

Bevi

Bevi uses InfluxDB to remotely gather metrics from smart water coolers in order to improve performance.

CREE success story

Cree inc

Cree uses InfluxDB to monitor LED lights in real time to enable maintenance and upgrades.

Scroll to Top