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Page 1: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Dialogue with data

Valmet Industrial Internet

© Valmet | Industrial Internet1

Page 2: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Dialogue with data

• Combining process and business data

from different mill or plant systems

• Utilizing advanced analytics, artificial

intelligence (AI) and our know-how to

discover hidden improvement potential

• Using the findings in daily process and

operations optimization

Valmet Industrial InternetLeveraging new data-driven opportunities

© Valmet | Industrial Internet2

Process data• From process automation system and measurements

• Process and quality controls into targeted setpoints

Company level data• Business planning and fleet management

Mill and plant level data• From ERP, MES and CMMS systems

• Production management and operations optimization

Results

Reduced raw material & energy cost

Improved end quality

Reduced downtime

Optimized maintenance

Page 3: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Unique Combination for PPP customers

© Valmet | Industrial Internet3

Valmet develops its

Industrial Internet

solutions building on the

unique combination of

process technology,

services and automation.

Industrial Internet solutions

Customer’s process

Valmetexperts

Valmet’s competence

network

Page 4: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Valmet DNA

Valmet Industrial Internet platform componentsare based on certified and secure world-leadingtechnologies

25 November 2018 © Valmet | Industrial Internet4

Valmet’s cloud environment

Database

Valmet Customer Portal

Valmet Performance Center

Page 5: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Online

connections with

customers

Performance

agreements with

remote

connections

Co-creation of

advanced

analytics with

customers

Valmet-supplied

lines with Valmet

DCS and QCS

systems

540420

81,000 90Advanced

process control

installations

350800~1600

Ongoing

Today, customers are extensively utilizing our Industrial Internet capabilities

© Valmet | Industrial Internet5

Valmetexperts

Valmet’s competence

network

Customer’s expert

420 Condition

Monitoring (CM)

references with

over 81 000 I/O

tags

Page 6: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Valmet Industrial Internet (VII)Building blocks

© Valmet | Industrial Internet6

Applications and services

• Data visualization, reporting and guidance

• Asset reliability optimization

• Operations performance optimization

• Valmet Performance Center

Solution ecosystem

brings leading industry players

together to co-create value-

adding applications and services.

Automation and IT platform

Process technology

Page 7: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Applications and services for board & paper producers

Industrial Internet portfolio

25 November, 2018

© Valmet | Industrial Internet

Asset reliability optimization Operations performance

optimization

Advanced reporting and

guidance

Valmet Performance Center

Analytics

as a service

Remote

monitoring &

optimization

On-demand

expert

support

Process

performance

monitoring

Process

simulators

On-site

analysis &

reporting

Dynamic

centerline

manager

HoloMill Pulp to paper

optimization

Real time

quality

prediction

Mill-wide

optimization

Cost

Monitoring &

Optimization

Paper

Machine

Diagnostics

MillTracer

Control loop

performance

monitoring

Condition

monitoring

remote analysis

Web break

prediction

Connectivity

Page 8: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Valmet Performance CenterEasy access to the expertise you need

© Valmet | Industrial Internet8

Valmet

Performance Center

Local

Valmet

experts

Customer

experts

Global

equipment fleet

Valmet expert

network

TissuePaperEnergy Automation

Remote monitoring

and optimization

Pulp

Performance Centers for:

Automation

On-demand expert supportData discovery and analysis

process

Page 9: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Valmet Performance Center

© Valmet | Industrial Internet9

Easy access to the expertise you need

– Remote tools bring our expert network close to you

– You have a place to contact when help is needed

Services

– Continuous remote monitoring, controls fine tuning

and optimization.

– On-demand expert remote support

– Data discovery and big data analysis services

based on the customer’s business problem (e.g.

defining root causes for process variations)

Secured data connection with your mill

Your channel for data-driven performance improvement

Page 10: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Energy optimizationwith remote supportfor paper and board machine

Page 11: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Energy optimization with remote supportfor Recycled Fluting Machine

© Valmet | Industrial Internet11

Service description

– Process optimization both remotely and on-

site to save energy

– An operator application integrated to the

machine control system

– Energy usage shown in real time and

compared to best achieved performance

– Grade-specific energy consumption and

history reports

– Continuous monitoring and reporting by

Valmet Performance Center experts

Benefits

– Increased awareness and understanding of

energy used in the process

– Improvement opportunities can be identified

– Energy savings in electricity and steam

– Significant cost savings

OCM kuva

Anssi: vaihdatko metso-logot

valmetiksi☺

Page 12: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Energy optimization with remote supportResults for a containerboard customer (name confidential)

© Valmet | Industrial Internet12

Corrugating Medium 105 g/m2Corrugating Medium 105 g/m2

Oct 2014 Dec 2014 Oct 2014 Dec 2014

Ste

am

Consum

ption [

t/t

]

Ele

ctr

icity C

onsum

ption [

kW

h/t

]

300

280

260

240

220

200

180

160

2.2

2

1.8

1.6

1.4

1.2

1

Key facts of the containerboard machine

• Grade: recycled fluting

• Basis weight 90–150 g/m2

• Design speed 1,200 m/min

• Trim width 6,660 mm

• Start-up 2014Electricity consumption reduction

from 245 kWh/t to 205 kWh/t

Steam consumption reduction

from 1.55 t/t to 1.4 t/t

Results

16%energy

savings in

electricity

10%energy

savings in

steam

2M€/avalue

Page 13: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Predictive Condition MonitoringImproved reliability through real-time monitoring solutions

Page 14: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Performance monitoring for TwinRoll wash pressService description and benefits

© Valmet | Industrial Internet14

• Service description– Real-time monitoring of TwinRoll operational

performance and end product quality

– Fleet management: Data collection and

modelling for predictive maintenance

– Customer interface with KPI dashboards for

analyzed and visualized performance data

– Automated recommendations for operators

– Continuous monitoring and reporting by Valmet

Performance Center experts

Benefits

– Relevant information for maintenance and

production decision making

– Improved maintenance predictability and fleet

performance

– Fewer unplanned stops and improved

performance

Page 15: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Performance monitoring for TwinRoll wash pressPotential results for a pulp mill

Improved washing efficiency and

reduced chemical consumption through

better wash liquor distribution and even

pulp formation

Fewer unplanned stops in production

Extended machine component lifetime

through predictive maintenance

© Valmet | Industrial Internet15

Results

Potential savings in wash

losses

15%

Potential increased

lifetime of wear parts

10%

Pu

lp f

low

Pulp consistency

By adjusting pulp flow and pulp consistency

based on automatic recommendations it is

possible to achieve the optimal operating

window faster

Reaching optimal operating

window after start-up

Page 16: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Pulp to Paper Optimizationvia Advanced Process Control (APC)

Page 17: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

© Valmet | Industrial Internet17

Service description• Collecting large data set of process and/or

analyzer data

• Modelling and predicting final pulp, paper and

board properties. Modelled variables include:

– Pulp hand sheet properties: tensile, tear, bulk, SCT,

CMT

– Paper and board properties: tensile, tear, porosity,

internal bond, STFI

• Quality models and predictions are implemented

online and visualized for operators

Benefits• Online strength information

• More stable final product quality

• Online quality predictions help optimize raw

material and chemical consumption, energy and

quality

Pulp to paper optimization

Linerboard burst model vs process

MeasurementModel

R-squared 84.7%

Bu

rst [k

Pa m

²/g

]

Time

2016-07-18 2016-08-15 2016-09-12 2016-10-10 2016-11-07 2016-12-05 2017-01-02

185

190

195

200

205

210

29.4.

8:00

29.4.

12:00

29.4.

16:00

30.4.

0:0030.4.

4:00

30.4.

8:00

30.4.

12:00

30.4.

16:00

30.4.

20:00

Magazine paper CD tear prediction

CD

Tear

[mN

]

Target

Plab Measured

Predicted - based onPlab mesurements

Model prediction NOW

Paper and board properties modelling

Page 18: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Control the process to final pulp and paper properties

© Valmet | Industrial Internet18

Service description ( sack paper m/c)• Control the process to final pulp, paper and

board properties by Model Predictive Control

(MPC) to reduce variability.

• Controlled variables based on process and

customer needs, strength and other properties

models

• Optimize process by MPC and move process

toward economic optimum

• Manipulated variables:

– Low consistency refining specific energy

– Stock blending, flows and consistencies

– Chemicals and starch

– Water removal, wet pressing, draws

Benefits• Raw material and energy savings

• Decreased breaks, increased PM speed

• Online strength information, more stable final

product quality

Pulp to paper optimization ( Sack Paper M/C)

Strength

Reduced

variability

Before

Target

shift

HW Refining

SW Refining

Specific Energycontroller loops

Paper

Machine

Chest levelsStock flowStock consistency

Specific Energycontroller loops

Stock ratios

•Basis weight 60–135 g/m2

•Design speed 1,200 m/min

•Trim width 4,440 mm

•Upgrade 2000

Page 19: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Pulp to paper optimization

Results for a sack paper customer (name confidential)

© Valmet | Industrial Internet19

Results

Pulp quality window

performance improved by

26%

Tensile strength

window performance

improved by

32%

Significant reduction in paper properties

variation

Improved paper machine stability and

higher machine speed

Tensile strength quality window Tear strength quality window Freeness and fiber length quality window

On-control data of 3 months (green color)

Page 20: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Valmet Control PerformanceAutomation system control loop performance improvement

Page 21: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Service description and benefits

© Valmet | Industrial Internet21

Service description– Automation system control loop and actuator

performance is continuously monitored and

analyzed by automated tools

– Priority list of non-performing loops is reported

on a regular basis

– Valmet Performance Center experts evaluate

the results and make recommendations on

actions. Remote tuning is also available.

– Customer can view control loop performance at

corporate, mill, department, and loop level

Benefits– Prioritized recommendations for maintenance,

resulting in better allocation of resources

– Reduced unplanned downtime and

maintenance cost

– Raw material and energy savings

– Improved product quality, less quality variability

Plant life cycle

Con

trol perf

orm

an

ce

Production disruption

Target

Predictive

maintenancePreventive

maintenance

Corrective

maintenance

Performance of the loops

under control

Typical

performance

Acceptable level

Valmet Control Performance

Page 22: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Control loop performance improvementResults for confidential customer, fiber line and recovery line

• Control loop performance

improvements are achieved by

implementing recommendations,

e.g. control loop variability

reduction, operating point changes

or fixing actuator and

instrumentation issues

• Better maintenance resources

allocation

• Peak performance sustained long

term by stabilizing processes

© Valmet | Industrial Internet22

Confidential customerFiber line and recovery line processes

• Cooking, washing, oxygen delignification, bleaching

• Evaporation, recovery boiler, causticizing and lime

kiln

Temperature control loop tuning

Reduced

temperature

variation

Consistency control loop tuning

Before tuning

After tuning

Measurement

Control output

Page 23: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Continuous dialogue with data – way forward

Page 24: Valmet Industrial Internet Dialogue with data. Zonal -2- 2018.3 Valmet PPT.pdf · 2019-04-17 · Dialogue with data •Combining process and business data from different mill or plant

Valmet Industrial Internet roadmapWay forward through co-creation with customers

Integrated customer portal and mobility

Growing fleet of intelligent machines and more

diagnostics embedded into processes

Valmet Performance Center as a platform for

digital services and big data analytics

New contributing technologies

– Mixed reality through Microsoft HoloLens

– Location detection technologies

Data driven applications and services through

advanced analytics, machine learning and AI.

– For reliability and performance improvement

Advanced process controls for all process areas

and mill wide optimization

Vertical and horizontal integration through strong

ecosystem of partners

© Valmet | Industrial Internet24