„industrielle instandhaltung in iot zeiten sder big …...1,200 mw generator with severe arcing of...

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ni.com Günther Stefan Business Development Manager IIoT & Condition Monitoring CEER „Industrielle Instandhaltung in IoT Zeiten – der Big Data Megahype!?“

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Page 1: „Industrielle Instandhaltung in IoT Zeiten sder Big …...1,200 MW Generator with severe arcing of shaft grounding braids 0.01 0.1 1 10 100 0.1 1 10 100 1000 10000 With Arcing Shaft

ni.com

Günther StefanBusiness Development Manager

IIoT & Condition MonitoringCEER

„Industrielle Instandhaltung in IoT Zeiten – der Big Data Megahype!?“

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2ni.com

“Raspberry PI” for IIoT

NI CompactRIO

HMI Display

CamerasSensors and

ActuatorsMotor Drivers and Drive InterfacesSmart Sensors

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3ni.com

Topics to Cover Today

• Why should we monitor?

• NI InsightCM: application software for monitoring

• NI InsightCM demo using chilled water pumps in Austin

• Applications of NI’s monitoring technology and NI InsightCM

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NI‘s role in IIoT

IIC – iiconsortium.org - Industrial Internet Reference Architecture

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ni.com

Predictive MaintenanceOne of the number one IIoT topics

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Sayano-Shushenskaya Hydroelectric PlantAugust 2009

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Generation Capacity is Approaching Retirement Age

300

250

200

150

100

50

0more than 60 51 to 60 41 to 50 31 to 40 21 to 30 11 to 20 10 or fewer

Generator Age (years)

Cap

acit

y (G

M)

Coal and Oil

Natural Gas

Source: US Energy Information Administration, Form EIA-860 Annual Electric Generator Reportand Form EIA-860M (see Table ES3 in the March 2011 Electric Power Monthly)

Over 50% of generation capacity in the US is greater than 30 years old

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…Unscheduled shutdowns, coupled with poor maintenance practices, cost global process industries 5% of total production annually, equivalent to $20B each year.—Hydrocarbon Publishing Company

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Maintenance Strategy Objectives

IncreaseRevenue

• Increase uptime and service offerings• Optimize maintenance activities

DecreaseCost

• Reduce frequency of unscheduled downtime• Decrease warranty costs• Optimize workforce

Reduce Risk

• Prevent failure and unscheduled outages• Reduce worker contact with hazardous machines and

environments

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The Case for Predictive MaintenancePredictive maintenance can use specific techniques (vibration analysis, infrared analysis, thermography, passive ultrasound, motor circuit analysis, lubricant analysis, and several others) to listen and analyze signals in order to identify and predict the presence of a failure mode

Mag

nitu

de o

f Ad

vers

e Im

pact

Time

Predictive Maintenance(based on usage and wear characteristics to predict failure)

Condition Based Monitoring(based on standard asset operation)

Preventative Maintenance(based on time or operational cycles)

Reactive Maintenance(based on asset failure)

Early detection of a potential failure provides time to plan and schedule replacement or restoration without interruption to production

Eq

uip

me

nt

Co

nd

itio

n

Broken

Potential for Failure is Introduced Early Signal 1

Early Signal 2

Audible Noise

Hot to Touch

• Reduced asset utilization

• Lower throughput• Reduced capacity

• High costs of repair or replacement

• Downstream delays• Missed SLAs

Asset Failure

Visible Issues

Adverse Impacts

Early Signal 3

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NI InsightCM™

• Configuration-based acquisition and data management tools

• Wide range of dynamic waveform and static sensor input options

• Deployment-ready hardware bundles available

• Complete accessibility to data

• Connectivity to third-party systems and analytics via LabVIEW

Application software tailored for online monitoring applications

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NI InsightCM Components

Configuration & Visualization

NI InsightCM™NI Monitoring Devices Infrastructure

NI InsightCM Server

Enterprise Applications

Database Historian

OPC UA-Compatible Applications

Web Browser

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Infinite Data

ComputationThe Physical

World

Any Bus

Open Data

Analog Input

Digital Output

Digital Input

Analog OutputFPGA CPU

Data Connectivity

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Smart Firmware with Store and Forward Architecture

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NI InsightCM™ Server

NI InsightCM™ Server - Underlying Architecture

Alarm Action

AnalyticsData

Management

Image Deployer

Device Management

Configuration

Management

NI Condition Monitoring Systems

for InsightCM™ Enterprise

Authentication

Management

Security

NI InsightCM™ Systems Manager

(for Server Configuration)

NI InsightCM ™ Data Explorer(Based on NI

DIAdem)

3rd Party Data Historian

Message Bus

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Additional Devices and Sensors • 3rd party controllers,

wireless gateways, NI devices, etc.)

• Custom on-board processing• Associated device

management & configuration

NI InsightCM™ Systems Manager

(for Server Configuration)

NI InsightCM ™ Data Explorer(Based on NI

DIAdem)

3rd Party Data Historian

NI InsightCM™ Server

NI InsightCM™ Server - Underlying ArchitectureWays to Customize using Software Development Kit

Alarm Action

AnalyticsData

Management

Image Deployer

Device Management

Configuration

Management

Message BusCustom NI or 3rd Party

Hardware System

Authentication

Management

Security

CustomAnalytics

& IP

NI Condition Monitoring Systems

for InsightCM™ Enterprise

CustomVisualization

Data transfer to 3rd

party enterprise software

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Advanced Sensors

CVS-1457RT

Thermography

1,200 MW Generator with severe arcingof shaft grounding braids

0.10.01 1 100100.1

1

10

100

1000

10000

With ArcingShaft Grounding Braid

PowerLine

Carriers

W/O Arcing

EMSA

MCSA

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NI Monitoring Devices Installed at Edge

Panel

NI Monitoring Device

Accelerometer

Tachometer

Temperature

Oil quality

Asset (pump)

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ni.com

NI InsightCM DemoUsing a demo system installed at NI in Austin, Texas

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NI HVAC InstallationPanel

Asset (chilled water pump)

Sensors (accelerometers)

Cable reduction box

NI Monitoring Devices

Network & power

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Demo Configuration

NI Monitoring Devicesinstalled at NI

NI InsightCM Serverhosted in the cloud

You

Partner Applicationshosted in the cloud

Internet

Try it yourself: ni.com/try-insightcm

https://www.youtube.com/watch?v=xiAXXl36w8g

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ni.com

ApplicationsNI’s monitoring technology and NI InsightCM in use for industry

applications

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Fossil Power Plant Monitoring

Largest Power Generation Holding Company in US

38 GW Fossil Generation Capacity

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Fossil Power Plant Monitoring

30,000 sensors10,000

machines2,000+ devices ~60 plant servers 1 federated

M&D center

Turbines(Critical)

OilSensor

VibrationSensor

VibrationSensor

NI Monitoring Device

Leak DetectionSensor

PressureSensor

Temperature Sensor

NI Monitoring Device

Balance of Plant Assets

Wired or Wireless

The E

dge

NI InsightCMServer

AccessPoint

Wireless

Business Network

Sensors Monitoring Devices IT Infrastructure

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ni.com

Customizing NI InsightCMAn open platform behind the deployment-ready capabilities

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Customized Monitoring Solution

Configuration & Visualization

NI InsightCM™NI Monitoring Devices Infrastructure

NI InsightCM Server

Enterprise Applications

Database Historian

OPC UA-Compatible Applications

Web Browser

Custom I/O, form factors, analysis, and

actions

Analysis and communication methods

Integration with third-party software

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Extend NI InsightCM with Software Development Kit

Build your IP and customize a monitoring solution without owning an entire software architecture

• Integrate InsightCM with third-party applications

• Add new device communication methods, edge analytics, and triggering options

• Address application I/O requirements• Manage third-party hardware with

InsightCM

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Integrate InsightCM with Third-Party Applications

Implement code that enables data within InsightCM to be shared with third-party applications.

NI InsightCM Server

IBM Maximo®

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Add Custom Process to NI Monitoring Systems

Modify NI Monitoring Systems to add new processing, alarming, data collection, and communication methods to extend the solution.

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Modify a standard device to support custom hardware to address custom I/O needs and form factors.

Add Hardware Support to NI Monitoring Systems

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Manage Third-Party Hardware with NI InsightCM

Allow InsightCM to manage, configure, and store data from third-party hardware.

Non-NI Hardware NI InsightCM Server

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Industrial Internet Consortium Testbeds

Time Sensitive Network Testbed

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Online Monitoring with NI InsightCM™

• Optimized workforce with remote, centralized monitoring

• Few gaps in data with continuous monitoring and event notifications

• Improved diagnosis with automatic analysis and historical diagnosis notes

Learn more: ni.com/insightcm