SAS Real Time Windfarm Analytics Real time decisioning that accelerates time to value with AI/ML

SAS and Cisco solutions designed to collect streaming data from wind turbines and windfarms

Kumar ThangamuthuPrincipal Technical Architect, SAS Institute

Copyright © SAS Inst itute Inc. A l l r ights reserved.

#1AI and Advanced

Analytics Software Platform

IDC 2019

Real Time WindFarm Analytics

• 25 Wind Farms in 5 Continents

• 674 Wind Turbines with geolocation

• ~ 15 Main Kpi’s (Production & Operational)

• 5 different tags with different latency

363,243,806 data records

Real Time Wind Farm AnalyticsUse Case Definition

• Collecting streaming data from wind turbines and windfarms

• Analyze, collect and distribute sensor data in real-time and alert possible issues

• Intuitive visual exploration of near real-time and historical Business KPI’s

• Real-time streaming report

Solution OverviewReal Time Wind Farm Analytics

OSIsoft PI Historian

SQL Server

Analyses at Rest

Production KPI’s

Status Reports

Analyses in Stream

Alarms

Streaming Report

Near Real Time Processing

Real Time Processing

Tags + Reference Data + Business Rules

Tags + Reference Data + Business Rules

Main KPI’s

Data Trends

Power Curve & Load Factor Distributor

Real Time WindFarm AnalyticsKey TakeAways

Real Time Monitoring

Proven and Integrated Solution

Scalable & Flexible & User-Friendly Solution

Cisco Kinetic IoT Platform w/ SAS IoT AnalyticsBringing Distributed Services Architecture (DSA) to Scale IoT Securely

Edge Enterprise Data Center (EDC)

Data: power, frequency, voltage, current, phasor angle,…

Cisco KineticEFM

Cisco 829 ISR

SAS ESP(Edge)

Cisco Kinetic

Powered with Cisco Kinetic DSLink for SAS ESP (Edge) | In alignment to Distributed Services Architecture (DSA), http://iot-dsa.org/

Cisco EDC Infrastructure

SASEvent Stream

Manager

SASESP

Streamviewer

SAS ESP Server

Streaming AnalyticsDevice Management

ESP Model

updates

SAS Visual Data Mining and

Machine Learning

SASVisual Analytics

Cisco EFM Dataflow

Editor

EFM Dataflowupdates

ESP Streams

ESP Model

updates

ESP Versionupdates

EFM Dataflow updates

SAS ESP Studio

SASVisual Statistics

EFM = Edge & Fog Processing Module, for IoT Edge ProcessingESP = Event Stream Processing , for IoT Edge and Cloud Analytics

Enables enterprises to quickly collect, process, and analyze massive amounts of data in real-time, both at the network edge and in the enterprise data center – at scale, distributed, and securely

Key TakeawaysSummary

IoT isn’t about the data … it’s about the value it enables!

OUTCOMES

Streaming/At-Rest, Advanced Analytics

MULTI-PHASE ANALYTICS

Edge-to-Cloud, Performance, Scalability

DIFFERENTIATED TECHNOLOGY

Full lifecycle support … Governance, Accountability,

Management

ENTERPRISE PLATFORM

Growing investment, Expanding ecosystem, New

channels

OPPORTUNITY