Supercharging PI System for Time Series Data Centralization and Sharing
Extending PI System with TDengine to Generate Operational Insights Throughout Your Organization
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Managing and Sharing Data in the IIoT Era
With IIoT bridging the gap between physical devices and digital applications, legacy embedded systems are being replaced in smart factories by cyber-physical systems (CPS) which combine computing, communication, and control capabilities with physical procedures and elements.
The proliferation of connected sensors generates a massive volume of time-series data that needs to be shared, centralized, and analyzed. This enables an organization to benefit from a global view of an entire network of connected sensors and devices, and develop insights that lead to company-wide efficiencies. Operating in silos doesn’t cut it when it comes to IIoT.
This white paper explores the capabilities and limitations of PI System, a popular data historian used throughout manufacturing, and illustrates how the time series database TDengine – along with the TDengine PI Connector – can be used to extend this system to enable data centralization and sharing.
TDengine PI Connector: A New Approach
The TDengine PI Connector provides a powerful extension of PI System that enhances its capabilities, enabling efficient data centralization and sharing without having to rip and replace a PI deployment. Organizations benefit from the freedom to use multiple systems at individual sites, using the right system for each site’s needs, and benefit from a unified view of their data.
