PI System (Process Information)
Enterprise historian platform for real-time industrial process data collection and analysis.
PI System is a comprehensive industrial data management platform developed by AVEVA (formerly OSIsoft) that serves as the foundational infrastructure for collecting, storing, and analyzing time-series data from industrial operations. The platform acts as a centralized historian that captures real-time data from sensors, control systems, and operational equipment across industrial facilities, providing a unified view of process performance. Widely adopted across process industries including oil & gas, chemicals, utilities, and manufacturing, PI System handles massive volumes of time-series data with high fidelity and minimal latency. The platform's architecture supports both on-premises and cloud deployments, enabling organizations to build comprehensive digital twins of their operations and support advanced analytics initiatives including predictive maintenance and process optimization.
Key Capabilities
Real-time data collection from industrial sensors and control systems
High-performance time-series data storage and compression
Process visualization and dashboarding through PI Vision
Advanced analytics and calculation engine (PI Analytics)
Asset Framework for contextualizing industrial data hierarchies
Integration APIs for third-party applications and AI/ML platforms
Industry Applications
How PI System (Process Information) powers AI automation across 1 industries.
PI System collects real-time data from water treatment sensors and SCADA systems, providing the historical foundation for AI models that optimize treatment processes and predict equipment failures. The platform's time-series data feeds machine learning algorithms for water quality prediction and operational efficiency optimization.
Frequently Asked Questions
How does PI System integrate with AI and machine learning platforms?+
PI System provides robust APIs including PI Web API and AVEVA Connect that enable seamless data extraction for AI/ML workflows. The platform can stream real-time data or provide historical datasets to popular ML frameworks like Python, R, and cloud-based analytics services for model training and inference.
What types of industrial data can PI System collect for AI automation projects?+
PI System can ingest virtually any time-series industrial data including temperature, pressure, flow rates, chemical concentrations, equipment status, and alarm states. The platform supports over 450 standard interfaces to connect with PLCs, DCS systems, historians, and IoT devices commonly found in industrial environments.
How does PI System handle data quality for AI model accuracy?+
PI System includes built-in data validation, compression algorithms that preserve data fidelity, and configurable exception reporting to identify data quality issues. The platform maintains detailed timestamps and quality flags that help AI systems understand data reliability and filter out questionable readings during model training.
Can PI System support real-time AI inference and decision-making?+
Yes, PI System's real-time data streaming capabilities combined with PI Analytics enable deployment of AI models that can process current operational data and trigger automated responses. The platform can execute calculations and write results back to control systems within seconds of receiving new sensor data.
What are the scalability considerations for using PI System in AI automation?+
PI System can handle millions of data points per second and store decades of historical data, making it suitable for enterprise-scale AI initiatives. The platform's distributed architecture allows for horizontal scaling, and cloud deployment options provide additional flexibility for handling variable AI workloads and compute-intensive analytics.
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