Internet of Things and Big Data
We are beginning a joint collaboration between the Seidenberg school,
the Lubin School of business, and the Dyson Environmental Center to understand the effects of the environment on the pond here on the Pleasantville campus.
We will work as a team on this project - there are 2 undergraduate Seidenberg students committed to this project and
there will be some number from Dyson (the environmentalists to help us understand what kind of data we need to collect)
and a team from the Entrepreneur center (Lubin) to understand how this can be commercialized.
Our first step will be to submerge a number of temperature sensors into the pond and collect data at several depths of water over the course of the year.
This data will then need to be visualized (comparing layers of water, or isotherms) to gain a better understanding
of the affects of air temperature compared to water temperature.
There are a number of interesting areas that need to be explored and implemented as part of this seemingly simple task:
Certainly there are many other issues -- these are just a few.
- How to collect, manage and manipulate large amounts of data.
The assumption is that we use just three sensors to gather temperature.
Assuming a sampling rate of once per minute, that will produce approximately 1.5 million data points in a year.
We need to understand the implications of a dataset that large - assuming we move to 6 sensors our data doubles to 3 million points, etc.
- We would like to use a small microcontroller to gather and transmit the data (ie, an Arduino like device).
This device would either be in the pond or more likely on the island in the middle of the pond. This will require power.
We need the design of a solar powered battery power source.
- Networking. The assumption is that we will use the Pace wifi network to move data from the island to a cloud service. How do we do this?
- Environment. These electronic devices need to be protected from the elements. How do we waterproof and protect these devices
2017 Research Day Conference, Paper a2