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Jens Peter Hervil
PTC/User 2019 - Nyborg
THINGWORXINDUSTRIAL INNOVATION PLATFORM
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• IIoT is about applying digital technology to the physical world and creating value– IIoT is about much more than acquiring data from
machines– This physical digital convergence requires
orchestration of product design content, operational data, supporting business systems, and the people who operationalize processes
• While there are common, recurring solution patterns, all enterprise solutions require customization to meet complex use cases
• Solutions demand agility – this means enabling domain experts, partners, and customers themselves to participate in the solution design, creation, and evolution
THE ESSENCE OF INDUSTRIAL INTERNET OF THINGS SOLUTIONS
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• A system of integral capabilities for creating solutions with physical and digital convergence
• An ecosystem of partners and developers
THINGWORX IS…
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THINGS ARE CHANGING
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IOT CREATES ENORMOUS BUSINESS OPPORTUNITY
DRIVE NEW
REVENUE STREAMS
Unlock new business
models and realize new value-add opportunities
DIFFERENTIATE
OFFERING
Increase pace
of product andservice innovation
IMPROVE CUSTOMER
EXPERIENCE
Leverage data from
connected products for improved service,
support and usability
OPTIMIZE BUSINESS
PROCESSES
Combine real-time data
with existing systems to increase efficiency
$¥£
C
66
CONNECTED PRODUCT MATURITY MODEL
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SERVICE EXPECTATIONS ARE RAPIDLY TRANSFORMING
/
“For every $1 in equipment sales, we have the potential for $12 in sales of services.”
“When we ask customers, they keep telling us, ‘I don’t want to just buy your products – I want you to help me operate more effectively and efficiently.’”
– Kevin Bollum, Vice President of Building Services, Trane
Manufacturers Expect Services to Provide Increased
Revenue and Profitability
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Customers Are Demanding Outcomes,
Not Products
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SERVICE IS THE LEADING USE CASE FOR IOT
Smart, Connected Products Drive Two Levels of Accelerated Service Transformation
Operational Effectiveness
Reactive Proactive
On Site Remote
Blind Data Driven
Historic Present & Future Product Value Chain
Strategic Differentiation
Break Fix Performance Based
New Product Sales Products as a Service
Equipment Uptime Operation Optimization
Customer Value Chain
23% of manufacturing service leaders have adopted a proactive maintenance approach, focused on product monitoring- IDC
38% of manufacturing service leaders have adopted a preventive maintenance approach- IDC
40%of Top 100 discrete manufacturers plan to provide Product as a Service- IDC
70% of global discrete manufacturers will offer connected products - IDC
CONNECTED PRODUCTS AND DIGITALIZATION ARE KEY TO A SUCCESSFUL TRANSFORMATION
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Faster Service Delivery
CUSTOMER IMPROVED BUSINESS OUTCOMES
Reduced Cost Of Service Growth in Service Revenue
50%
Reduction in mean
time to repair
Reduction in case
resolution time
50%
Reduction in truck
rolls
Reduction in
unplanned downtime
Reduction in service
requests
15-30 %
15-40 %
66%
12-30% Increase in service
contract renewals
Increase in customer
satisfaction
33%
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• 15-30% less truck rolls/field service visits (Abbot Diagnostics, Electa, Applied Biosystems)
• 66% reduction in service requests (Converse)
• 15% -40% reduction in unplanned downtime ( Diebold, Leica)
• 33% increase in customer satisfaction (Egenera)
• 5% increase in service productivity (Leica)
• 50% decrease in case resolution time (NetApp)
• 15% reduction in service costs (Phillips Healthcare)
• 12% - 30% increase in service contract renewals (Phillips Healthcare, Quantum Corp)
• 50% reduction in mean time to repair (Varian Medical)
• 42% reduction in on-site visits (Varian - $2k per visit)
CUSTOMER REFERENCES
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CONNECTED PRODUCT MATURITY MODEL
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THINGWORX ADDRESSES THE CHALLENGES TO REALIZING THAT BUSINESS OPPORTUNITY
Excited about
Industrial Innovation but not sure how to
get started
Finding necessary
resources that understands the
entire stack
Unforeseen costs
with maintaining and improving a
DIY approach
Inability to
anticipate future needs
Created one app
but unable to scale or
modernize
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Purpose-Built for Industrial
Innovation
Quickly Create & Deploy Industrial
Apps & AR Experiences
Wrap & Extend Existing Technology
Agile &Flexible
Expansive Ecosystem
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• The Thing Model is a collection of entities that represent your process, solution or application.
• Things provide context into your IoT data and are the building blocks for application developers
• Things have structure and relationships that represent your real world objects
THE THING MODEL
2020
THINGS AS APPLICATION BUILDING BLOCKS
Things
3c90056
56a897c
4jklzp0
Enterprise Systems
Service
Sales
Finance
Manufacturing
Engineering
Operations
Properties• Running hours• Average temp• Warranty• Load Size
Services• Check Wash• Update firmware• Report Failure
Events• Wash Complete• Wash Started• Malfunction
Appliance
Thing Template
PropertiesServicesEventsSubscriptions
Subscriptions• Clothes ready• Detergent
available
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THINGWORX INDUSTRIAL CONNECTIVITY
• Powered by Kepware, the industry’s leadingindustrial connectivity platform
• Library of 150+ device & client drivers and advanced plug-ins — supporting thousands of devices and other data sources
• Provides operations data to traditional Industrial Automation clients (via OPC and proprietary protocols) and new IoT solutions (via MQTT & IT-centric protocols)
• Meets the highest standards of quality through third-party validation
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COMPOSER THING MODELING TOOL
Model KepServer Tags into the ThingModel
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• Mashups are the fastest way to build IoT desktop and web applications
• Mashups allow you to see and interact with your Things
• The Mashup Builder is the WYSIWYG developer tool for creating content
MASHUPS
Properties
Panel
Widget
Area
Layout
Area
Connections
Area
Services
Area
Service
Properties
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SAMPLE MASHUP CONTENT
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THINGWORX ASSET ADVISOR FOR SERVICE
CAPABILITIES
• Monitor multiple asset performance in real-time
• Alerts based on thresholds or irregular operating conditions
• Notification of alerts via email or text message
• Detailed views of sensor information to help troubleshooting
• Provides remote access to assets
• Bi-directional file transfers with asset
Sensor data detects irregular operating conditions Detailed view of
sensor information
Asset list with operating status and alerts
Take actions before failures occur
Prevent unscheduled downtime by
anticipating issues
Reduce travel cost with less service visits
Detect irregular operating conditionsBENEFITS
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• Workflow Builder enables business users to quickly build automated and repeatable workflows
• Workflow Manager provides monitoring and analyzing workflows
• Integration connectors allow back-end system connectivity (SAP ERP, Windchill)
INTEGRATE BUSINESS SYSTEMS AND PROCESS
DELIVERING VALUE TO ENTERPRISES THROUGH DIGITAL TRANSFORMATION
AZURE CLOUD SERVICESINTEGRATION TO MICROSOFT DYNAMICS 365HOLOLENS SUPPORT IN THINGWORKS
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SERVICE INTEGRATION – MICROSOFT VIDEO
https://www.youtube.com/watch?v=azo_kTWehwM&feature=youtu.be
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Problem statement
• Companies see HoloLens as a way to put AR in production – but it is hard to create the experiences for HoloLens!
New ThingWorx Studio
• Out-of-the box, fast & easy creation of HoloLens experiences without coding
Benefit
• For many companies – it is the AR content authoring breakthrough needed to deploy HoloLens commercially at scale
• A viable wearable option
MICROSOFT HOLOLENS SUPPORT
ENABLES KNOWLEDGE TRANSFER
simulated wing
assembly
30% fasterBOEING & IOWA STATE
Source: AREA
comprehending
training instructions
47% fasterSRI
Source: SRI
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REAL-TIME INTELLIGENT ANOMALY DETECTION
• Finds anomalies in real-time
• Automatically observes and learns the normal state pattern
• No need for setting rules or applying pre-calculations
• Monitors for anomalies and delivers real-time
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PREDICTIVE INTELLIGENCE ENGINE
Machine learning is used to automatically build and validate predictive models without assistance from a statistician, using data from your your Things data as a learning source.
• A patent-pending technology explores various sophisticated predictive modeling algorithms to determine the best algorithm to use for each data set and predictive topic
• Automated machine learning ready data preparation without ETL (when used with ThingWorx Composer)
• Dramatically reduces or eliminates the need for an expert team in modeling algorithms or technologies
• Automatically identifies and reveals which data signals are most important in predicting outcomes
• These predictive models are instantly usable to perform predictions and optimization determine recommendations
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AUTOMATED PREDICTIVE INSIGHTS
• Automatically build and validate predictive models without assistance from a statistician, using your Thing data as a learning source
• Subscribe your “things” to one or more predicted outcomes (time to failure, future efficiency, etc.)
• Real-time or batch predictions (“scoring”)
• Uses prediction models generated by ThingWorx Analytics Server or equivalent PMML-compliant prediction model generation tool
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AUTOMATED PREDICTIVE MODELING WITH THINGWORX ANALYTICS
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AUGMENTED REALITY IS NOW !
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