Inspiration
Temperature control systems can not be more common in the laboratories and industries, but what inspired us to carry out this project is the interesting and complicated data provided by Zeiss. When analizing and mining them, more and more dinigmas are detected.
What it does
It focuses on what the temperature in the past and foretell how to face with it in the near future.
How we built it
We build the user interface with Matlabapp, processing dataset with important libraries in Python and search for a training method on the Azure platform.
Challenges we ran into
To be honest, everything is challenges. The first obstacle is how to pre-process the data, classifying them into reasonable classes and then select some machine learning approaches to acquire the laws we want.
Accomplishments that we're proud of
It is a pity that we do not achieve the goal we expected, furthermore, the connection between our Application and Azure works not so well.
What we learned
The first thing is the membership between us, at the same time, the technical skills in several aspects such as front and back end development, data mining and analysis and so on.
What's next for An Approach for Zeiss with its Temperature Control System
It is dependent on the sponsors.
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