Supercharging PI System for Time Series Data Centralization and Sharing
Extending PI System with TDengine to Generate Operational Insights Throughout Your Organization
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.