The PI Server includes the following capabilities:
Store, Organize and Contextualize Data
The PI Server uses two components, the Data Archive and Asset Framework to collect, consolidate, organize and contextualize sensor-based data. The Data Archive can store millions of tags and thousands of values per second while preserving data at its original fidelity. With the PI Server, decades of data and petabytes of online capacity are supported so all data - no matter how old - is there when needed.
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Modern business creates overwhelming amounts of data each day, making it challenging to find the information needed.
AF makes it easier to find and share information. Asset Framework turns streaming data into information by:
- defining relationships between data to improve understanding and make related information easily accessible
- adding metadata to data
- replicating existing structure to new equipment/assets through templates to ensure consistency across organizations and enable rapid rollout
With Asset Framework, information is intuitively organized so users see all the information they need at a glance.
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Calculate and Refine Data
Simply connecting the enterprise to raw sensor data can create an enormous amount of value. But processing raw data in real-time can provide transformational business insights and improve decision making.
With the PI Server suite of calculation tools [Totalizers, Performance Equations, Steam Tables, Advanced Computing Engine, and Asset Analytics] users can perform everything from simple averages and totals to sophisticated programmatic calculations as users refine raw data, calculate KPIs and gather valuable information about operations.
With PI Server calculations you can:
- put information in context, for example, instead of showing total volume of fuel remaining, show that at current production levels there is enough fuel left for six days
- templatize standard calculations for an asset and deploy it fleet-wide to all similar assets
- calculate energy and heat usage to optimize usage during peak times and lower operating costs
- perform rollup calculations on equipment such as wells to gain insight into production
- calculate equipment efficiencies to aid workers improve processes
- use historical data to validate new calculations and ensure that algorithms are performing as intended
Learn more about Asset Analytics >
Identify and Analyze Events
Shifts, batches, curtailments, equipment startups, and changes in grades are significant events in business that are best understood when analyzed in context and compared with similar events. With Event Frames and Batch users can identify and analyze data within the context of events. When data is framed by events, users can perform “apples to apples” comparisons across assets, optimize production in real-time, perform root cause analysis, ensure consistency, and replicate best practices throughout the fleet.
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Alert and Notify Users
Deviations in operations and processes can cost millions which makes quickly detecting and responding to them critical. Notifications monitor the PI Server data, batches, and events in real-time, instantly detects deviations, and alerts users. With Notifications, users not only know about problems, they have the information they need to solve them as alerts can include links to FAQs and best practices, PI Client displays, current data values, and more. When alerts are acknowledged, Notifications captures comments from the acknowledger so their operational knowledge and insights are preserved and available to future users and regulators months or years later.
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Security and Availability
Data is a vital business asset. The PI Server is designed to run as a mission-critical system, protecting data and ensuring information availability. To protect data integrity, the PI Server includes a built-in Audit Trail that records the who, what, and when for all changes that affect data. The Audit Trail supports stringent industry electronic reporting requirements such as US FDA 21 CFR part 11 and those imposed by the Environmental Protection Agency (EPA) and other quality oversight agencies. To help protect IT networks, the PI Server includes a suite of interfaces for monitoring the IT infrastructure. With the PI Interfaces for System Monitoring users can detect possible anomalies and deviations before they impact performance and system administrators have real-time and historical network performance data for troubleshooting issues.
For users with disaster recovery or five 9s requirements, OSIsoft offers High Availability, an add-on for the PI Server. High Availability uses standard, non-fault tolerant, hardware, to provide dynamic failover and redundant reliability that ensures continuous collection, storage, and availability of data. High Availability is unique. It protects everything from raw data to metadata to calculations, makes system administration work such as hardware swaps and machine updates invisible to users, and ensures that information is continuously available to users. High Availability can also provide data to emergency operations centers in the event of local disasters. With the PI Server data is treated as a mission critical business resource.
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