TDengine for PI System

Supercharge PI System to facilitate data sharing and AI-enabled analytics

TDengine provides a powerful extension of PI System that enhances its capabilities, enabling efficient data centralization and sharing without having to rip and replace existing PI deployments.

Fully Centralized Data

Operating with siloed data won’t provide your company’s next competitive advantage. Fortunately, collecting and aligning data from multiple sites - each with unique systems and admins - no longer has to be a challenge.

Unified Worldview

Create a single dashboard to review global operations, with the flexibility to zero in on an individual site or a single turbine. This unified worldview provides better understanding of the drivers of your operation’s performance, and easily identify outliers in the data.

  • Simple configuration - Just provide a list of tags or AF Element Templates to backfill or stream in real time. For multiple sites, install multiple connectors and apply a prefix to tag names for context.
  • Connection opportunities - You name it: MQTT, OPC-UA, OPC-DA and more.
Easy and Secure Sharing

The future of IIoT is open - to get the best thinking, companies need to share data within internal stakeholders, industry consultants and partners with AI expertise. TDengine for PI System allows you to choose exactly what to share, and when, with fine-tuned privileges that provide access to a specific instance, database, or SQL query.

Data Subscriptions

With data subscriptions, applications can receive automatic updates, making it easier to process data in the order events occur.

  • Eliminates the need to continuously query the database or deploy Kafka.
  • Partners get notifications as soon as the data is received, simplifying time series data processing without an additional messaging queue solution.
Efficient and Scalable Storage

At its core, TDengine is a high-performance, scalable data historian. With its unique storage engine, it provides a high data ingestion rate, high data compression ratio, and low query latency. Native distributed design allows the platform to support up to one billion data collection points without performance deterioration. With its multi-tier storage design, you can cut storage costs further without sacrificing performance.

Enabling Advanced Analytics

TDengine simplifies analytics with standard SQL with time series extensions, and stream processing for real time insights.

Integrations

Easily integrate a range of third party solutions, including BI tools and the latest providers of ML-enabled analytics. Data sharing controls ensure they’re only working with the data you’ve assigned.

  • Customize your visualizations with Grafana, Google Data Studio or other products.
PI Vision

TDengine can work as a data source, and you can visualize your data in PI Vision no matter whether it's stored in PI or TDengine. With this hybrid solution, you can continue to use the tools you love while benefiting from the affordability and accessibility of TDengine.

How It Works

TDengine for PI System uses the AF SDK to query historical data from the PI Data Archive, set up PI and AF data pipes for streaming data, and connect to PI AF to query the AF structure. It also creates the corresponding tables and writes this data over a secure RESTful API to TDengine Cloud.

The TDengine Data Reference is an AF Custom Data Reference that queries data within TDengine and allows users to interact with TDengine as though it were a PI Point within the PI Data Archive. In this way, TDengine data can be used alongside PI data in PI Vision.

TDengine for PI System creates multiple data pipes to the PI Data Archive and AF to stream data. TDengine’s Data Reference allows users to interact with TDengine in AF as though it were a PI Point within PI’s Data Archive.