"Showcase Skiing Area" IoT presentation slides from the Splunk Partner Executive Summit that took place in Frankfurt, Germany on 18th January 2018.

1. Showcase Skiing Area
IOT Demolab Vienna – Rainer Bauer

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Problem
6:00am 5:00pm
Artificial snow production is
limited to a specific amount
of water usage in a Skiing
area.
How could the snow
production be optimized by
using environmental and
weather data
When,where and how much
snow do I have to produce to
cover the slopes.

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GIS and calculations
The foundation of our model is GIS, the Geographic Information System
GPS data is combined with available map information
For every data point a polygon is calculated and all points together make a
surface area.
This allows a fast recalculation if data points are
changing.

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Snow data
Height of snow is measured by Snowcats or fixed
sensors under the slopes
The datapoints are stored in a database. The surface
area is calculated using Voronoi-diagrams and stored
as GIS polygons.

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Weather data
Different weather data providers can be used
Automatic calculation is done every hour.
Values used:
• Temperature
• Rain
• Snow
Next version includes calaculation of evaporation using
• Air pressure
• Wind and direction
• Cloudiness

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Solution
6:00am 5:00pm
Simulation using weather
data allows to predict the
amount of snow which needs
to be produced
Saves energy, water and
labour and can extend the
skiing season.

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System info
1 VM 4 CPUs, 32 GB RAM, 250GB SSD
Netapp Filer
Splunk
Debian, PostGIS
Python, Apache, PHP
A complete rendering for the entire Skiing area Semmering-Hirschenkogel (8km) takes 30 sec.