
AVEVA / OSIsoft PI Services

Quick Wins
System Health Checks
Engage our team to perform a system audit to investigate the key performance dimensions of your system. Our health checks can examine the following key performance dimensions:
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System Performance
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Response times & throughput​
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load forecasting & likely near-to-midterm scalability needs
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Identify common performance bottlenecks
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Data Quality
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System Tag Review & Classification​
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Understand bad tags & likely root causes
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Scan rate health vs storage requirements
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Asset coverage & overall data usability
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User Experience​ Maturity of:
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AF Asset Models​
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Data Bindings & source system coverage​
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AF Analytics / first-principle engineering calculations & KPI's
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Alerts & Notifications
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Visualization via PI Vision
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Site-specific training materials
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Access to support (in-house & 3-PTY)
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System Availability​
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High availability status​
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System redundancy & single points of failure
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Disaster Recovery
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Review system backup health​
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Review recovery processes & readiness
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MTBF / MTTR metrics capture
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Security​
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Review current version information for core servers & interfaces​
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Highlight known issues with currently installed versions
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Review PI trusts, users & principals vs best practice
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Data Integrations​
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Tie-ins to downstream enterprise systems​
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Automated data transfers (via PI notifications & other SDK integrations)
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Cloud egress current capabilities vs best practice
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A system audit can help you understand the current capabilities and limitations of your PI system, as well as helping you to understand what enhancements may be needed to support upcoming initiatives, A&D or other major operational changes.
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Delivery
We offer flexible delivery options for your audit needs. Our consultants can provide on-site or remote services on a fixed cost or time & materials basis. We present findings in person with the help of PowerPoint slides and audit workbooks (Excel). Through our process we will help you identify quick wins that can significantly improve system health.
Asset Framework POC
Not convinced that Asset Framework models are worth the time investment? Or, not sure which equipment/line/plant or facility areas are suitable for modeling? We can help. We can provide a basic AF hierarchy, templating and instance models for your operations & engineering teams. Here are some of the activities we can undertake as part of a POC initiative:
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Conduct an initial assessment of your existing PI infrastructure and data sources to determine the feasibility of implementing an asset framework data model.
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Help you to identify key performance indicators (KPIs) and data requirements to be captured by the asset framework.
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Develop a customized data model based on specific needs and requirements, including asset hierarchy, data structures, and tags.
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Collaborate to identify potential gaps in data coverage and work to fill those gaps with additional sensors, data sources, or other tools.
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Configure the PI system to capture and store data according to the asset framework data model, including the creation of custom AF attributes, templates, and analyses.
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Develop custom PI Vision displays and reports to provide visualization and analysis of the data captured by the asset framework.
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Provide training and support to ensure proper utilization and maintenance of the asset framework data model and associated PI system components.
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demonstrate the effectiveness of the asset framework data model in improving operational efficiency and decision-making, including data analysis and interpretation, KPI tracking, and reporting.
Architecture Reviews
PI systems typically represent multi-decade investments. From time-to-time it makes sense to revisit your current system architecture and seek optimizations to improve scalability, add redundancy, or shave costs. Here are some activities and deliverables our experienced team can execute for your organization:
Activities:
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Conduct a comprehensive review of the existing PI system architecture
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Identify any performance bottlenecks, reliability concerns, or other issues impacting system availability or data quality
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Evaluate the system's interface optimization, including data transfer rates, tag optimization, and compression settings
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Assess the feasibility of consolidating site historians and make recommendations as appropriate
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Review the system's high availability architecture and identify any potential areas of improvement
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Evaluate the system's downstream integrations and make recommendations for optimization and expansion as appropriate
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Identify any security or compliance concerns and provide recommendations for mitigating those risks
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Develop a comprehensive set of recommendations for improving the overall PI system architecture, including both short-term fixes and longer-term strategic initiatives
Deliverables:
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Detailed report outlining the findings of the architecture review, including a summary of any issues or concerns identified
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Recommendations for improving the performance, reliability, and availability of the system, including specific steps that can be taken to optimize the interface and consolidate site historians
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A plan for improving the system's high availability architecture, including any necessary hardware or software upgrades
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Recommendations for expanding and optimizing the system's downstream integrations, including a review of any current data transfer methods and an assessment of any additional integrations that may be beneficial
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Comprehensive set of recommendations for improving the overall PI system architecture, along with a proposed timeline and cost estimate for implementing these changes.

Implementation
​Brownfield
Not convinced that Asset Framework models are worth the time investment? Or, not sure which equipment/line/plant or facility areas are suitable for modeling? We can help. We can provide a basic AF hierarchy, templating and instance models for your operations & engineering teams. Here are some of the activities we can undertake as part of a POC initiative:
​
-
Conduct an initial assessment of your existing PI infrastructure and data sources to determine the feasibility of implementing an asset framework data model.
-
Help you to identify key performance indicators (KPIs) and data requirements to be captured by the asset framework.
-
Develop a customized data model based on specific needs and requirements, including asset hierarchy, data structures, and tags.
-
Collaborate to identify potential gaps in data coverage and work to fill those gaps with additional sensors, data sources, or other tools.
-
Configure the PI system to capture and store data according to the asset framework data model, including the creation of custom AF attributes, templates, and analyses.
-
Develop custom PI Vision displays and reports to provide visualization and analysis of the data captured by the asset framework.
-
Provide training and support to ensure proper utilization and maintenance of the asset framework data model and associated PI system components.
-
demonstrate the effectiveness of the asset framework data model in improving operational efficiency and decision-making, including data analysis and interpretation, KPI tracking, and reporting.
​GreenField
Talk about greenfield PI system implementations for new facilities:
Merge / Split / Shift
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​Collapse of site PI to corporate
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Single servier to HA
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A&D -historian merge
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Divestiture -split / sell / sanitize / export data
