real time analytics for facilities with diverse data sources and diverse business requirements

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Page 1: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Real Time Analytics for Facilities with Diverse Data Sources

and Diverse Business Requirements

Terry Seanard, CPIP New England Controls, Inc.

[email protected]

Page 2: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Data to Data

Data Information Knowledge

Strategic Optimization Tactical Execution

More Data

Page 3: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Facility Design and Planning

Plan A Rigorously collect the data needed to support

control, optimization, and business needs

Reality Plan A only works for about 5 minutes

Page 4: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Diversity

Multiple Vendors, Platforms, System Types Process Automation Manufacturing Execution Enterprise Planning Building Monitoring and Management Lab Information (PD or QC) Process Utilities

Page 5: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Evolution

Initial Requirements Product change before facility complete Process change after facility complete for quality

remediation Equipment changes to increase capacity to meet market

demand Software complexity increases to integrate new

technologies Software upgrades to continue supportability (i.e. OS

support, DCS major version upgrades)

Page 6: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Degradation of Standards

Day to day operation tends towards efficiency Efficiency may or may not drive compliance Compliance remediation

Evolution of tribal knowledge and best practices Changes in business rules (remediation, cost

optimizations) Improvement in process technology

Page 7: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Complexity Monster

Evolution of capability and degradation of standards applicability Increasing number of ‘special cases’ Increasing software and systems management

cost

Page 8: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Regain Control

The first link in the knowledge chain to break is Data to Information How do we rein it in?

Page 9: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Models, Not Standards

Initial configuration and process standards were based on models (hopefully) The initial standard procedures and schemas may

no longer apply But the models still do

Page 10: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

ISA S88, applied to Data Stream

Equipment Model Procedural Model Process Model

Page 11: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Iterative Development

Functional operational requirements are easy to define People are not as easy to control and predict

as machines and software Complex integrations of people and systems

exhibit unexpected behavior

Page 12: Real Time Analytics for Facilities with Diverse Data Sources and Diverse Business Requirements

Meeting the new needs

Design Intent Construct Facility Hire operations and management staff Run the facility Understand the operating environment Redefine and optimize