Advance Pattern Detection illustration
Client Requirements
Advance Pattern Detection:
1. Dime is able to take in data and predict product failures, process optimizations and correlations between different parameters
2. Let’s show a stream of data coming into a gear (we’ll animate this to turn) and it’ll spit out some graphs, some warning alerts and a representation of a correlation
3. Before the gear:
- What Goes In: Data Sources (Sensors, IIOT, Spreadsheet)
- What Comes Out: A Graph labeled “Process Optimization”, An Alert labeled “Potential Failure”, A Node Graph labeled “Correlation”
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