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Extracting Value from Time-Based Data

Industrial Tag Historians store high resolution data, generally at sub-second resolution, and provide detailed trends, like the kWh totalizer shown below. This detailed information is incredibly useful for real time monitoring and troubleshooting process problems, but is not really useful for managing Operational Performance.

Management teams demand more than just trends. They expect context rich information to be “lifted” out of this detailed data. This involves summarizing the data into a form that is quickly and accurately understood at a management level. The summarized information is not only demanded by management teams, but is important to empower operators and team leaders to make their own decisions.

To achieve this, they need a system that gives them decision support and insight. They want to know things like:

  • Which machines are performing most efficiently?
  • What is different about the machines that perform well?
  • Do the machines run more efficiently when running specific products?
  • Are some shift teams able to achieve better efficiencies than others?
  • How often are the machines stopping? Do we know why?
  • Do we have unexpected electricity, or water, over usage scenarios? 

Let’s see how Flow can help provide this decision support and insight.

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