IBM Industry solutions for Asset intensive

industries

Tamas Kubicsek, Consultant, Watson IoT Asset Management

tamas.kubicsek@hu.ibm.com

2

IBM – The Cognitive Cloud Solutions company for the Enterprise/Industry

Past Present – Long

history solutions

Cognitive visual

inspection

Asset and work

management -

redesigned

IoT device

connectivity

Energy distribution and

transmission Analytics

Present – brand

new solutions

Asset Reliability /

Health analytics with

predictive maintenance

suggestions

Worker Safety

with sensors

IoT PlatformsForrester and IDC both name IBM as the leader with Watson IoT Platform

Watson IoT solutions lead the market

Forrester

IDC

Predictive MaintenanceIBM named first overall for predictive maintenance solutions out of 20+ vendors

Enterprise Asset

ManagementIBM named the

leader in EAM with Maximo Asset

Management family of offerings

AnalyticsIBM named leader in

streaming analytics in Forrester Wave

Solutions and use cases

Asset and Work management with

IBM Maximo

5

MAVIR – Hungarian Electr. Transmission Company

• Asset management centralized

• Full electronic asset life data

• Work planning electronic support

• Inspections works, meter readings

supported with mobile

• Started w. heavily customized

Maximo and custom GIS, and

custom mobile integration

• NOW: Std. latest Maximo, ESRI (std.

GIS), Anywhere (std. mob.), Maximo

Scheduler (std. planning)

• Budget planning

Central Europe Asset and Work mgmt use cases and examples

Electr. T&D clients from CentralEurope

• ELES – Slovenian ElectricityTransmission

• Fingrid – Finland Electr. Transmission

• VSD – Slovakian ElectricityDistributor

• PKP Energetyka – Poland

• Elektro Ljubljana

Benefits

• High quality data for reporting

• HQ better understand the budget

spend of regions

• Ability to compare regions or plan

and actuals

• Ability to rethink time based

Preventive maintenance strategy

• Modern, near paperless work –

green initiatives of Utility companies

• Continuouly modern, up to date

system due to NO heavy

customizations

Key water clients from Europe

• Gaia Water – Italy

• Enemalta – Malta

• East Water - UK

Maximo Out of the box modules for any use case

Maximo for

Oil & Gas

Maximo for

Utilities

Maximo for

Nuclear

Maximo for

Life Sciences

Maximo for

Transportation

Add-on Solutions

Integrations and Adaptors

Core Solution

Industry Solutions

Maximo

Scheduler

Maximo

Health Safety &

Environment Mgr

HS&E

Maximo

Linear

Maximo

ArchivingMaximo

Calibration

Maximo

Oracle Adapter

Maximo

Service Provider

(managed)

Maximo Asset

Configuration

Manager

Spatial

Maximo

Scheduler Plus

Watson

Analytics

CalCal

Maximo Asset

Health Insights

Maximo for

Aviation

SCADA Device

Connectivity

SaaS Solutions

Maximo Asset

Management

BIM Integration

Maximo Asset

Management (SaaS)

Maximo Asset

Management Flex

(SaaS)

Maximo Asset

Management

Fundamentals

(SaaS)

Watson

IoT Platform

IBM

Weather

Maximo

Service Provider(internal)

Maximo

SAP Adapter

Maximo

Spatial

Maximo

Anywhere

Solutions and use cases

IBM Insights foundation for Energy – Out of the box

analytics for Energy distribution, transmission and

renewable energy sources

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Asset Health & Risk▪ Business problem: Pressure to reduce asset

maintenance costs, while maintaining reliable service

▪ Value proposition: Substantial reduction in ongoing

maintenance budgets by maintaining assets based on

need, not calendar. Optimize network availability, increase

asset utilization. Reduce truck rolls & inspections.

▪ Geospatial – Scroll over asset to see health

▪ Consequence of Failure – Prioritizes based on impact at

risk. Example – Hospital vs neighborhood

▪ Pre-Built Health Models:

1. Poles

2. Overhead Cables

3. Underground Cables

4. Substation Transformers

5. Distribution Transformers

IFE is out of the box analytics for exact use cases

Connectivity Model

▪ Business problem: Utilities don’t have accurate

information on which customers are connected to

which electrical phases, at their substations. This

leads to imbalance in loading on their network,

making outages more likely and fault restoration

more costly.

▪ Value proposition: IFE’s analytical approach is

much less costly than other available methods,

including manual inspections. Cost savings from

correct connectivity information.

▪ Find mismatches between records and reality,

with very good accuracy

▪Improve customer satisfaction – respond quicker

Wind 360▪ Business problem: Traditional utilities,

renewables operators and even wind

turbine manufacturers need visibility into the

energy which will be produced by a

renewables (usually wind or solar) plant and

the related demand for energy.

▪ Value proposition: IFE as an integration

platform, which provides starting models

plus weather forecasts from The Weather

Company or an other supplier

▪ Forecast energy generation

▪ Asset Health - turbines

Solutions and use cases

IBM Asset Health Insights – Health scoring and

predictive maintenance for implementing Reliability

based maintenance

Watson IoT / Insights into Asset Health 10

Condition based maintenance uses IoT data to assess asset health

40% of preventive maintenance costs are spent

on assets with negligible affect on uptime 1

The results speak for themselves

Reduce

maintenance

costs by up

to 25%

Eliminate up

to 70% of

breakdowns

Reduce

downtime by

up to 50%

Cut

unplanned

outages by

up to 50%

Reduce

scheduled

repairs by up

to 12%

Reduce

capital

investment

by 3-5%

Monitor and analyze asset health data, both historical and real-time

Intervene at the right time, before assets go down

Prioritize and optimize resources

Watson IoT / Insights into Asset Health 11

Sensor data

Real time and

Historical

(Maximo)

Asset InformationAsset Health

Weather

Data

Formula forHealth scorecalculationis notincluded in the product!

Solutions and use cases

IBM Visual recognition based Drone supported

inspections

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• Uses Watson Vision Recognition Services

• With DRONES and/or ROBOTS

• For Machine-detection of Anomalies

• Correlate with Maximo and Sensor Data

• Record Inspection Results in Maximo

Business Value:

• Increased accuracy

• Minimized human effort

• Increased Efficiency

• Inspector Safety

IBM does Cognitive image analysis based inspection for drone taken

images

Realistic and ‘hot’

current use cases:

• Transmission tower

• Solar farm

• Wind turbines

Transmission Tower Drone Inspections

Solutions and use cases

Worker safety with sensors from wearables

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Watson IoT Worker Safety – Your Employees’ Guardian Angel

Hazards Detection

GPS Sensor:

Location

BLE/ANT+ / CPU

Accelerometer:

Speed-X

Speed-Y

Speed-Z

Bio-sensing:

Heart-rate

Body temperature

Environmental-sensing:

Temperature

Light

Noise

Oxygen deficiency

Carbon monoxide

Alert employee

Inform supervisor and

emergency center

Broadcast message

to nearby employees

Federated Analytics

Detective (real-time) /

Predictive

IBM

Watson IoT

Worker Safety

• Overexertion

• Fatigue

• Heat stress

• Fall / Slip

• Use of safety

equipment

• Excessive lifting

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IBM Employee Safety Apps and Dashboards

Worker App Supervisor App

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Questions?