TDengine for PI System

Supercharge PI System to facilitate data centralization, sharing, analytics, and AI apps

TDengine provides a powerful extension of PI System that brings your data into a modern, open ecosystem without having to rip and replace your 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.

TDengine provides a global view of your 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.
  • Data transformation — Clean your data and add prefixes or suffixes to ensure good governance and context preservation across sites.
  • Cross-platform centralization — Bring your PI System data together with data ingested from MQTT, OPC, Wonderware Historian, and more.
Easy and Secure Sharing

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

You can share data by means of traditional views or replicate shared data to other systems with TDengine's powerful data subscription component. 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 time series database. With its unique storage engine, it provides a high data ingestion rate, high data compression ratio, and low query latency. Its native distributed design allows the platform to support up to one billion data collection points without performance deterioration. And 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. Its analytics capabilities bring cutting-edge solutions to traditional industries and enable remote monitoring, predictive maintenance, abnormality detection, and better decision-making.

Easily integrate TDengine with a range of third party visualization and BI products — Grafana, Seeq, Power BI, and more — and the latest providers of AI and ML-enabled analytics. With TDengine, you can choose the best tool for the job, and you're never limited to proprietary options.

Open Ecosystem

TDengine is an open source company at its core and is determined to bring the openness of the modern tech world to the industrial sector. Our industrial data platform is an open system that can easily integrate with a wide variety of visualization, business intelligence, and AI tools through standardized interfaces. These include ODBC, JDBC, and connectors for popular programming languages like Python and C++.

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 Asset Framework (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 REST 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.