pisysteemeissä

Pisysteemeissä refers to activities, data, or concepts located within the PI System, an industrial data infrastructure widely used to collect, store, and analyze time-series data from sensors, control systems, and equipment across process industries. In this context, the term is used to describe work and data management that occur inside PI-based environments.

Key components of the PI System include the PI Data Archive, which stores time-stamped data; the Asset Framework (AF), which organizes data using assets and hierarchies; PI Interfaces that ingest data from field devices; PI Vision for dashboards and visualization; and various connectors to databases, cloud platforms, and analytics environments. Data in pisysteemeissä is typically high-resolution time-series data with long retention, enabling both real-time monitoring and historical analysis.

In practice, engineers and operators work in pisysteemeissä to monitor processes, perform root-cause analyses, and optimize performance. They model facilities in AF, define data streams in the Data Archive, and build dashboards and analyses in PI Vision and other tools. Event Frames can be used to capture episodes of interest for focused analytics.

Implementation considerations include data quality, calibration, time synchronization (NTP), data latency, retention policies, and security. Governance practices cover access control and data lineage. The term is common in Finnish industrial and IT language to reference work conducted within the PI System environment.

For further reading, see OSIsoft PI System, PI Data Archive, Asset Framework, PI Vision, and PI Interfaces.