Unify for Power and Utilities

Meet 21st century challenges with data

No-code pipelines for fast time to insight and easy to maintain and govern data models

Extensive asset template library including IEC 61970 Common Information Model templates*

Flexible and powerful knowledge graph-based model for capturing complex data relationships

Element Unify for Power and Utilities

A solution offering that fast-tracks time to insight for power and utilities companies which includes:

The Element Unify platform
Element-developed asset templates for assets such as transformers, batteries, breakers, etc.
Asset templates based on the IEC 61970 Common Information Model (CIM) for energy grid assets
Example pipeline to map sensor and asset data to templates using Unify transformations
Example graph model of California electric transmission system
Sample datasets based on frequently-encountered data sources
Project initiation workshop to support realization of solution benefits

Partner connectivity applications Ignition and KepServerEX running on AWS Certified industrial PC ingests real-time sensor data and asset model data sent from PLC and industrial historians.

PI Interfaces/Connectors collect data sent from sensors, PLCs, SCADA, etc. into PI Server running at plants or regional data centers. Element Unify AF Management Client retrieves, deploys and manages PI Asset Framework asset models.

Element Unify ingests asset models and tag lists exported from edge applications (i.e. Ignition, Kepware, etc.)

Element Unify P&ID Productivity Client automates harvesting of asset information from graphical engineering designs. EAM and ERP systems (residing either on-premises or in an Amazon VPC), including SAP FLOC and work orders, connect to Element Unify through iPaas layer.

Element Unify is the centralized IT/OT data management platform that integrates, contextualizes, and governs asset data models from OSIsoft PI Asset Framework (bi-directional), Ignition, Kepware running at the edge, and IT data sources like SAP and Maximo, and performs bidirectional model sync with AWS IoT SiteWise.

Element Unify reads existing asset model data from AWS IoT SiteWise and then provisions the new, enriched asset model data back into AWS IoT SiteWise.

Time series data flows into AWS IoT SiteWise from partner connectivity applications running at the edge. AWS IoT SiteWise stores the asset model data and ingests, filters, transforms and processes all incoming data before storing both raw and processed data in a managed time-series data store. AWS IoT SiteWise publishes an MQTT message to AWS IoT Core each time the asset property value updates.

An AWS IoT Core rule publishes these asset propery update messages it receives from AWS IoT SiteWise in near real-time into Amazon Kinesis Data Firehose.

Amazon Kinesis Data Firehose captures data from AWS IoT Core, transforms it, and delivers the data in near real-time to Amazon S3 industrial data lake.

Once real-time and historical data is available in Amazon S3 industrial data lake, Amazon Lookout for Equipment can use the data to detect abnormal equipment behavior, so that machine failures can be detected before failure occur and avoid unplanned downtime. Computed metrics can be written back into Amazon S3 for storage and consumption.

Amazon QuickSight can be used with Amazon Athena to create and publish interactive Bi dashboards.

Integrate and contextualize

Integrate and contextualize data from disparate IT/OT sources using no-code pipelines
Eliminate manual, spreadsheet-based effort and dependence on Python coding skills
Greatly speed time to deployment
Keep models up-to-date using Unify AssetSync
Benefit from resulting models that are easy to understand, maintain and govern

USE FLEXIBLE TEMPLATES

Draw from extensive pre-loaded asset templates in Unify template library
Use and adapt pre-loaded IEC 61970 Common Information Model (CIM) asset templates*
Easily define your own custom templates as required

*source: https://github.com/smart-data-models/dataModel.EnergyCIM/

CAPTURE DATA RELATIONSHIPS

Flexibly capture complex data relationships using a knowledge graph
Avoid fixed schema constraints
Easily build as many different asset heirarchies as needed

EXPLORE AND EXPORT

Explore data model in Unify with SQL queries, Cypher queries and through visual pipeline inspection
Export model to graph analytics tools such as Neo4j and Neptune
Export model to other consuming destinations such as PowerBI or ML platforms

SETUP FOR SUCCESS

Work with Element data experts to setup project for success
Prioritize use cases to optimize for effort, return, and time to value
Define scope, data sources, asset templates, and output solution
Assess structures and cleanliness of source data and required formats for destinations