Intro Video#
Type of tool: e.g. web application or desktop applicationRequired skills:
- Process/material knowledge: e.g. knowledge of material properties
- Digitalization knowledge: e.g. no programming
Disclaimer:
How to use/download/access it: e.g. got the the gitup [link], copy the code into [XY] and start using
Short description of the tool:
- Detailed description: Link to the guideline:
Use case/problem: Selecting material (recyclate) for specific product requirements
Description of the problem the tools solves: [General] + [Tool-specific]
Contact person of the tool: Stefan Bloemheuvel
Verlinkung zu anderen Tools:
Background information of the approach/technology used: e.g. short description how the algorithm works
Additional Links/Weblinks to the topic: e.g. important research article etc.
Process Data Analytics:
In the current developments towards a smart industry (4.0), more and more data is collected concerning your operation processes. Insights in the data could contribute to improving these processes. After getting the data from your systems, and validating it with help of the Data Validation tool, the Process Data Analytics tools provides insights consisting of reports, visualizations and other analysis methods that describe the state of your processes and/or machinery. The process analytics tool consists of several data analytics modules that describe and analyse the underlying process data. In this tool, we strive to perform data science techniques such as classification, clustering and pattern mining accompanied by visualizations. Within the tool, we focus on the analyzing Time Series data.
The files for the tool can be downloaded at: https://github.com/cslab-hub/Data_Analytics_DIPLAST
