This is the client side application used for analysis and visualization of sensor data pulled from the sensor rest api.

Forecasting data on the client side for analytics, and automated anomaly detection. Currently does smoothing and plots against the values. Check the timeseries service for more information.

Server https://github.com/PseudoSky/udbs-air-sense Client https://github.com/PseudoSky/sense-ui

Nodejs https://nodejs.org/en/ Mongodb https://www.mongodb.org/ Git https://git-scm.com/

mkdir udbs
cd udbs
git clone https://github.com/PseudoSky/udbs-air-sense
git clone https://github.com/PseudoSky/sense-ui

npm install -g yo grunt bower grunt-cli

cd udbs-air-sense

mongod

# Open new shell window to same dir

npm install

node server.js

# Open new shell window to same dir

cd ../sense-ui

npm install
bower install

grunt serve

Open a browser and go to http://localhost:50000/seed This will add the test seed data that we gathered from the sensor to the MongoDB instance.

Then navigate to http://localhost:9000/ You should see the ui shown in the image above

For more information about the available data, see https://github.com/PseudoSky/udbs-air-sense