system twin integrity hub MAY-11 v5

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System Twin Integrity HubAccurate twin for asset andsystem of assets

ABB ABILITY GENIX INDUSTRIAL ANALYTICS AND AI SUITE™ D

igit

al T

win Effectiveness Maxim

ization

Information

Insight

Integrity

ABB ABILITY GENIX INDUSTRIAL ANALYTICS AND AI SUITE™

—While the digital twin as a concept has been around for a while, Industry 4.0 adoption has accelerated the need for its adoption by industrial organizations aiming to improve efficiency and reduce operational expenses, while effectively minimizing operation risk and enhancing safety. This focus comes from the ability to leverage big data for insights, analytics, simulations and predictions – enabling a smarter and safer enterprise.

As organizations continue in their journey towards Industry 4.0 with increased demand for digitalization and improvements in managing assets, operations and functions, there is an increasing need for real-time, end-to-end visibility across every critical capability. Asset-intensive and process-dependent organizations have assets and processes in large numbers – and getting accurate, timely information about them is a crucial challenge to overcome. The sheer number of source systems, extracting data from diverse sources across different formats, integrating and analyzing them to get critical situational awareness and information about assets and processes – can make it extremely lengthy and effort intensive to deploy a digital twin.

For efficient and streamlined operations, functional specialists, operators, and other business users require real-time intelligence and insights on assets and plants to take quick and accurate decisions. To empower them better, there needs to be an accurate, system twin view of critical assets – with asset hierarchy, information models, and asset information.

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—Business challengesOrganizations looking to deploy digital twins have multiple complexities to overcome. With data being critical for digital twins, integrity of data, along with its automation and identification becomes crucial in leveraging the best from it for predictive and analytical capabilities.

03 ABB ABILITY GENIX INDUSTRIAL ANALYTICS AND AI SUITE™

Consolidating asset attributes from multiple enterprise asset management and industrial IoT systems remains a hurdle for organizations. They are also plagued by a lack of understanding of historically used, legacy nomenclature. Effort-intensive, manual integrity checks are still the norm; and this compromises asset data integrity. Enterprise data structure – which is

crucial for operations – still lacks transformation logic for integration and standardization. When it comes to enterprise business intelligence and analytics, operators still have to contend with not having access to a single source of truth. Organizations are also yet to free themselves from operational and legal risks that are a result of non-conformance to industry standard practices.

Internal preparedness of

systems, processes, and personnel

Accessing data from data siloes

across the organization

Extracting data from multiple sources and

systems

Transforming extracted data

to common enterprise data

structure

Data engineering –

analyzing, validation,

cleaning

Mapping data to build

digital twin

Integration of number of

external and internal data

sources

Eliminating inconsistencies in engineering

taxonomy across

organizations

Minimizing effort required to

translate and consolidate data

in different formats

Maintaining asset data integrity from

design phase to decommissioning

phase

Improving data quality for effective

decision making and operations

Maximising value of analytics by contextualizing

data from diverse source systems

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—ABB Ability™ Genix – System TwinIntegrity Hub


System Twin Integrity Hub provides an automated tool for business users to address their asset data integrity and consolidation challenges with minimal human intervention . It helps in transforming source data from multiple asset sources within an enterprise to a standard enterprise data structure. Once metadata starts

flowing into the system, pre-processed rules are executed to determine integrity checks across multiple systems to which it is connected. Additionally, users can employ built-in IT-OT mapping rules to map equipment to their respective sensors – generating industry specific hierarchies.

Capability overview – ABB Ability™ Genix System Twin Integrity Hub

Note: Non OT data extracted from ERP, Historian and IPCS staging tables in Genix

Data sources and attribute consolidation

ESTag Name

Descattr 3ES ID

PBS details

IPCSTag NameTag Desc

attr 3

attr 20IPCS ID

::

PBS details

ERPNameDesc

attr 3

attr 40ERP ID

::

Functional LocationPBS details

HistorianTag NameTag Desc

attr 3

attr 15HIST ID

::

PBS details

• Validation and Integrity check• Default priority rule (e.g. P&ID desc.)• Who wins rules• Other transformation rules• Attribute consolidation

STIH - ConsolidatedAttributes

Tag NameTag Descattr 3:: attr 20STIH IDSTIH Hierarchy Code ES ID ES ID Hierarchy CodeERP IDERP ID Hierarchy CodeHIST ID HIST Hierarchy Code IPCS IDIPCS Hierarchy Code

ES

ERP

Historian

IPCS

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—ABB Ability™ Genix System Twin Integrity Hub capabilities


Genix System Twin Integrity Hub (STIH) comes with a range of capabilities offering multiple possibilities for business users and functional specialists. It can capture data from multiple sources – including IT, OT, ET systems for tags, assets, systems, sensor IDs, metadata, relationship information and more. Its pre-built, configurable connectors help users to extract metadata and relationship information. Users can leverage rule-based transformation of asset information – hierarchies, metadata, and relations using the data transformation capability.

STIH can be used to generate asset models with data loading and basic consistency checks on source systems schemas as per common industry standards (ISO15926) with higher degrees of customization. Data integrity issues can be easily identified using the Rules Library to validate data within and across domains. To facilitate easy mapping for source system schemas with common industry standard schemas, an Automated Mapping Interface has been provided. Users can also benefit from rich data visualization features using reports and dashboards to identify data integrity issues.

Accurate information of

asset and system of assets as system

twin foundation for advanced analytics

Automates extraction and

integrity validation of asset metadata

across systems such as SAP, Maximo,

historians, DCS and engineering

systems.

Transformation to common

enterprise data structure and publishing of

asset information model

Rule-based data integrity checks;

transformation for enterprise asset

hierarchy and asset-to-sensor ID

mapping

Mapping(Source-STIH)

ValidationRules Def.

HierarchyBuilderDB DB DB

DB DBApp Config. Admin

Reports

Logs

REST APIfor user apps

DB

DBConnectors

Source data in Excel Format e.g. ES Registers

FileStorage

STIH CoreExtend-Transform-Validate-Consolidate

SensorsData

OT Systems(Historians,

SCADA)StructuredI Streamed

EnterpriseSocial

GeographicInformation

Systems

EngineeringDesign

Systems

IT Systems(ERP, CRM,EAM, LIMS)

Read

from

File

sto

rag

e

S1/P1: Extend -> Transform-> ValidateS1/P1

S2/P1

Sn/P1

S1/P2

S2/P2

Sn/P2

Sn/P1: Extend -> Transform-> Validate

S1/P2: Extend -> Transform-> Validate

Sn/P2: Extend -> Transform-> Validate

P1Consolidated

P2Consolidated

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—System Twin Integrity Hub - Solution Architecture


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—Features


Default asset class templates based on ISO 15926 and industry practices

Unified and contextualized asset metadata (IT/OT/ET)

Schema editor to add new attributes and classes

Easy and quick configurability for data sources, tag naming conventions, validation rulesets, consolidation priorities

Asset data integrity reports and dashboards for insights and decision making

REST APIs to connect with internal and external apps for upstream and downstream analytics

Pre-configured data validation rulesets for EPC data handover check at various stages - 30%, 60%, 90% and as-built

Automated mapping of asset to OT sensor tags

2D/3D Plant View and document access

Hierarchy views for ERP, engineering systems, Enterprise Asset Management systems, corrosion loops, etc.

Flexible deployment options - both on-premise and on cloud

Extensible pre-configured reference data

- Asset Classes : 50+- Code Lists : 40+- UoM Types : 20+

ABB ABILITY GENIX INDUSTRIAL ANALYTICS AND AI SUITE

System Twin Integrity Hub allows plant managers and functional experts to now accurately publish asset twins for enterprise business intelligence and analytics. By connecting to multiple source systems to extract asset metadata, it transforms source data to a common enterprise data structure – allowing faster validation and rule-based data integrity checks across source systems – for compliance issues, data mismatches, missing data and more. It provides a consolidated view of asset data, incorporates proper hierarchies for asset and sensor mapping, and can also connect with other internal and external applications.

—Benefits

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Eliminate inconsistent and

missing data issues

Resolve dataintegrity issuesacross different

sources

Asset classtemplate

library for fasterdeployment

Interoperabilityof information

handover

Useful foundationof accurate,reliable and

useable data

Improved dataquality for

better decisionmaking

Improvedplant asset

management

Compliance toregulatory

requirements

Insightful reportingof asset data

integrity status

System Twin Integrity Hub is an integral part of Genix, which can also be deployed as a standalone component depending on your requirements. While using STIH within the Genix platform, you can achieve higher degree of insights into internal environments, with real-time data and visualization made possible with a 360-degree view of assets and processes. This allows you to proactively monitor and optimize business efforts with better situational awareness.

The Genix Advantage

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—Key highlights


Auto-mapping Eliminate manual mapping efforts

Automated Asset HierarchyTransformation Reduce time to build and view assets in hierarchy

Data Validation Avoid incorrect data for analytics and processing

Data Integrity IssueIdentification

Reduce time by 50-80% compared to manual / semi-automatic approaches

Data Completion Reduce time for identifying issues by 90% (compared to manual) and 50% (compared to project-specific tools)

Asset Class Configuration Reduce time by 60-70% using pre-built industry specific class templates for custom implementation

Plant Asset Hierarchy Achieve 100% accuracy

Asset Data | Asset Hierarchy Achieve 100% accuracy with STIH REST API output

Configuration Reduce time by 70-80% with STIH REST API output

ABB GISPL [email protected]@abb.com

https://new.abb.com/process-automation/genix

© Copyright 2021 ABB. All rights reserved.Specifications subject to change without notice.

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system twin integrity hub MAY-11 v5