how data analytics is shaping the industrial landscape today

Michael Brown

June 21, 2016

How Data Analytics is Shaping the

Industrial Landscape Today

Honeywell Confidential - © 2016 by Honeywell International Inc. All rights reserved.

Uniformance® Suite Delivers Digital Intelligence

1

Organize and visualize

data in asset context

Apply powerful analytics

to detect and predict issues

Connect process intelligence

to business KPIs

Capture real-time process

and event data

CollaborationAcross Functions

Management

Maintenance & Reliability

OperationsEngineering

Visualization

Ad-hoc Analysis KPI Dashboard

Notifications


The Industrial Analytics Challenge

2

How can big data and analytics help close this GAP

and deliver real value in the process industries?

40 exabytes (4.0 x 1019) of

unique new information

will be generated worldwide

this year

A major O&G producer has

over 40 Pbyte (1015 or

quadrillion) of data today

and will increase 10X in

coming years

Today

Taking data

to action

Data from sensors

& applications

Analytics GAP


Data in context of the

problem

Closing the Industrial Analytics Gap

3

Open data analytics

platform for people to

collaborate

Simple tools usable by

plant Engineers with

domain knowledge

Fuse sensor data and

application data for

complete understanding


A Pragmatic Definition of Data Analytics

4

Graphic from “Big Data Industry Insights”, Lisa Kart, Gartner webinar, 2015.

• The goal of analytics is to provide information for improved decisions and

actions for economic benefit.

• Note that maximizing automation and minimizing human input are not

always the goals analytics should be suited to the use case.


5


6

A

Consolidated and contextualized data

Capture | Uniformance® PHD

7

• Scalable - from site to enterprise to cloud

• Data Fusion: More than a process

historian – includes event and

application data

• Built-in engineering knowledge

• Built-in calculation and engineering unit

conversion capability

• Use with asset model for enterprise

integration

• Visual process analytics search tools

Capture

Consolidate

Contextualize

$

fx

A


8

B

Flexible web-enabled AGILE collaboration

Visualize | Uniformance® Insight

9

• Powerful ad-hoc trends and

workspaces

• True thin-client application

• Available on a wide variety of devices

• Collaborative interaction & sharing

• Powerful visual analytics search engine

• Connect to process historians,

application data & 3rd party data

B


10

C


11

• Enables Advanced Analysis

• Extreme scalability, Scalable on the fly

• Millions of tags, Millions of events per

second

• Advanced aggregation and calculations

• Advanced data synchronization

• Enterprise data fusion

• Support for enterprise security

Experion PKS

Host Server

Experion PKS

Cold Stand-by

UniformancePHD Shadow and CollectorsSite A

Experion PKS

Host Server

Experion PKS

Cold Stand-by

UniformancePHD Shadow and Collectors

Site B

Honeywell Cloud Historian

OPC UA & Third Party Historians

Enterprise | Cloud HistorianC


12

D


• Data Fusion

- Historians, Maintenance, LIMS,

Financial, …

- All meta data is indexed

- On-line, no data lake

• Capsule Series

- “Time periods of interest”

- Simultaneously time series and

transactional

• Scalability

- Users’ formulas automatically

scale

• Searching

- Patterns

- Limits / Boundaries

- Logical

• Interactive

- On-the-fly calcs

- Collaborative UI

• Historical Benchmarking *

- Mode or conditioned based calcs

Seeq Corporation Proprietary - Limited Distribution 13

* Patent Pending

Saves 95% of the effort required by engineers to

explore their ideas for surveillance, troubleshooting,

and improvements => data driven decisions

Seeq | ”Workbench” Innovations D


Visual Process Analytics: ESP Analysis Logic


15

E

Moving to Early Event Detection

Predict | Uniformance® Asset Sentinel

16

• Powerful analytics with asset-

based calculations and fault

models

• Integrated workflow from alert

notification, troubleshooting, to

problem resolution

• Embedded process content (pump,

compressors, turbines, etc.)

• Email & mobile notifications for faster

response

• Integrated visual analytics workflow

Embedded & User Defined

Models

Calculations & Fault

Models

Make Problems Visible

Dashboard

s

Notifications

Continuous

Monitoring

Heat Exchanger

Gas / SteamTurbine

Compressor

Furnace

Asset Model

Trends /

Displays

C


17


18

how data analytics is shaping the industrial landscape today

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