Preventive and predictive maintenance

• Flowbox supports analytical functions, where any input and output (sensor, device, binary state) can be allowed to record its own historical data, which can lead to individual graphical messages presented in user panels.

• You will find basic line and bar graphs, time diagrams, cumulative volume graphs, stacked bar graphs, pie charts, Sankey diagrams, correlation graphs, temperature map diagrams and more. Correlation graphs also support optional calculations of mathematical sequences.

• Any input / output can have appropriate thresholds set for normal operation and trigger events in the event of unusual behavior.

• Alarm events can be e-mails, SMS or pushover (instant messaging) alarms or specific commands that can trigger other external visualized (flashing) or audible alarm systems.

• The granularity of historical records is based on received or retrieved raw data from sensors / devices or filtered by the hour/day/week/month/year selection.
  Export to .xls/.csv or image format is natively supported.

• The solution can be further extended with specific diagnostic sensors and analytics. In such a case, a specific mathematical machine learning (ML/AI) algorithm would provide anomaly detection and early warnings based on analyses of measurements and patterns of behavior.