AVEVA PI System
AVEVA PI System is a platform for collecting, contextualizing, and analyzing production data in both real-time and historical views.
At explitia, we help production companies design and implement an operational data environment that supports process optimization, downtime reduction, and data-driven decision-making.
AVEVA PI System provides a consistent operational data layer that connects information from multiple production systems and makes it available for reporting, analytics, and performance monitoring.
The solution supports the development of a structured OT/IT data architecture, improves process visibility, and enables you to expand the analytics environment without interfering with production control.
Book a consultation and find out whether AVEVA PI System is the right fit for your production architecture!
Contact us and let’s talk about how AVEVA PI System can organize production data, support operational analytics, and become the central data layer in your plant.
When does implementing AVEVA PI System make sense?
PI System is particularly valuable for plants with multiple production data sources that want to use operational data more effectively for analysis and optimization.
Typical implementation scenarios include:
- distributed data from PLCs, SCADA, and production systems,
- lack of event history and process data context,
- manual reporting in spreadsheets,
- difficulties in analyzing the causes of failures and downtime,
- the need to monitor production and energy KPIs,
- preparing data for advanced analytics or AI.
PI System does not control the production process itself. Its role is to provide a robust data and analytics layer that supports optimization and better decision-making.
What problems can AVEVA PI System address?
AVEVA PI System helps companies organize fragmented production data and turn it into support for operational decisions.
The platform addresses common challenges related to the lack of a consistent OT/IT data layer, limited process visibility, and manual reporting.
The challenges that AVEVA PI System can help solve include:
Lack of a central historical record of process data from PLCs, SCADA, and MES
Difficulties in analyzing the causes of failures, downtime, and performance losses
Manual creation of reports and KPIs in spreadsheets
Lack of process context for production data
Limited ability to monitor OEE, energy, and line efficiency
Fragmented systems with no consistent data model
Infrastructure that is not prepared for advanced analytics and AI
Implementing AVEVA PI System allows you to build a unified and consistent production data environment that improves process transparency, shortens event analysis time, and supports data-driven production optimization.
Business benefits of implementing PI System
A well-designed operational data platform delivers measurable results.
The system enables:
| Better visibility of production processes |
| Faster event analysis and easier identification of bottlenecks |
| Reduced reliance on manual reporting |
| A consistent data source for production, maintenance, and IT teams |
| The ability to develop predictive analytics |
PI System helps you build a culture of data-driven decision-making at both the operational and management level.
What does AVEVA PI System implementation involve?
We deliver projects end to end, from data source analysis to the implementation of analytical models and visualizations.
The scope of work includes:
Analysis of OT/IT architecture and available data sources
We analyze the OT/IT architecture and available data sources to determine integration possibilities, signal quality, and the scope of data use within the AVEVA PI System environment.
Design of PI System architecture (Data Archive, Asset Framework, integrations)
We design the AVEVA PI System architecture, including Data Archive, Asset Framework, and the required integration mechanisms, with scalability, security, and data consistency in mind.
Integration with SCADA, MES, AVEVA System Platform, and other systems
We integrate AVEVA PI System with available SCADA, MES, AVEVA System Platform, and other data sources, in line with technical requirements and the client’s environment architecture.
Modeling production assets in Asset Framework
We model production assets in Asset Framework, reflecting the structure of lines, machines, processes, and indicators in a way that matches the real conditions of the plant.
Configuration of data collection and naming standards
We configure data collection and naming standards for tags, objects, and parameters to ensure data model consistency and support further system development.
Creation of dashboards, trends, and KPIs
We create dashboards, trends, and KPIs that support process monitoring, performance analysis, and decision-making based on operational data.
Configuration of alarms and event analysis
We configure alerting mechanisms and event analysis to make it easier to detect deviations, identify the causes of problems, and respond more quickly at the operational level.
Documentation
We prepare implementation documentation covering the solution architecture, data model, integration standards, and recommendations for further development of the environment.
As part of the project, we also provide architecture diagrams, data standards, and recommendations for the future development of the environment.
PI System integration with SCADA, MES, and AVEVA System Platform
AVEVA PI System acts as a central operational data layer.
A typical architecture looks like this:
- SCADA / HMI – process control and visualization for operators,
- MES – production execution, tracking of orders and batches,
- AVEVA System Platform (HMI)– application layer and object model,
- PI System – history of production data and analytics environment.
Thanks to these integrations, companies can:
- collect data from multiple lines and plants,
- analyze the history of process operations,
- compare performance over the long term,
- share data with BI and reporting tools.
We design architectures in on-premise, hybrid, or cloud-ready models, depending on the client’s infrastructure and security requirements.
Asset Framework is a data model aligned with real production processes
An important part of a PI System implementation is Asset Framework (AF), the contextual layer of the data environment.
It means:
| Mapping production lines and machines into a structured data model |
| Standardizing signal names and KPIs |
| Making it easier to scale the system as production grows |
| Enabling analytics and alerts at the object level |
We design AF models to reflect not only the technical structure of the plant, but also its actual organizational and process reality.
Production data analytics and KPIs
Implementing the PI System allows companies to move from simple data collection to real process analysis.
The most common analytics areas include:
- analysis of the causes of downtime and failures,
- monitoring of OEE and line performance,
- prediction of component wear,
- analysis of energy and utilities consumption,
- long-term process trend analysis.
A typical example: by monitoring the number of operating cycles of a production tool, companies can predict when efficiency will begin to decline and schedule component replacement before a failure occurs.
How do we approach AVEVA PI System implementation?
We design PI System architecture to integrate with existing SCADA, MES, HMI, AVEVA System Platform, and business tools.
Our goal is not to introduce just another tool, but to create a consistent OT/IT data environment. Our approach combines experience with AVEVA systems and hands-on project delivery in industrial environments.
The implementation process includes:
An analytical workshop and definition of business goals
Inventory of data sources and assessment of signal quality
Design of the PI System architecture and OT/IT security
Asset Framework modeling and integration configuration
Implementation of visualizations, KPIs, and alerts
Post-go-live support
This ensures that the PI System becomes part of a broader data architecture rather than an isolated tool.
Why implement AVEVA PI System with explitia?
| We have experience in AVEVA projects and OT environments |
| We design data architecture in the context of the entire production ecosystem |
| We integrate PI System with existing solutions instead of replacing them |
| We focus on real business goals and KPIs |
| We help clients develop their analytics environment after implementation |
Our goal is to build a stable, scalable data platform that supports the long-term growth of your organization.
Let’s talk about your AVEVA PI System implementation
If you are considering building an operational data platform or want to organize your existing architecture, get in touch with us.
During a short consultation, we will assess whether PI System fits your needs and what implementation approach will work best for your environment.