introduction to living planit - cambridge wireless...manages business logic and essential system...
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Introduction to Living PlanIT
Technology use case: Flame Towers, Baku
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• Founded in 2006
• Technology company that applies software and AI solutions, using data and interventions to improve the performance, availability and safety of the built environment
• Highly collaborative, ecosystem of experienced and capable partners
Introduction to Living PlanIT
Computer SciencePlanIT Urban Operating SystemTM (UOS)
Biological & Chemical ScienceBiological & AI enabled data ingestion
Data ScienceAnalytics & Artificial Intelligence
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ContentsMutually Supporting Technologies
UOS Platform
Real-time Data, Analytics, Control
Sensing Capability
Neural Network backed sensing for physical,
chemical and microbiome
Analytics & AI
Neural Network, WISDOM, multi-criteria
decision making
Example Use Cases
• Industrial IoT
• Agritech
• Smart building controls
• Smart water/energy infrastructure
• Smart Cities
• People movement
© 2019 Living PlanIT AG - Confidential
UOS = Urban Operating System
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ContentsTechnology Pedigree - Acquisitions
Formula One Data Technology
• Real-time data telemetry• Simulation• Hard real-time control
CDC Intelligent Buildings
• Pioneering IoT company in building controls • 1,000s deployments worldwide
WISDOM
• Multi-Criteria-Decision-Making capability• Winner of Wiley Prize for Maths, 2013
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ContentsUOS Platform Architecture
Collect Data
Sensors, Actuators, User Devices, 3rd Party Controllers, Data Feeds
Manages business logic and essential system management. Captures and
analyzes live and historical data for insights, and propagates intelligence through the
system.
Handles device interfacing and enables time-critical response. Hosts autonomous
control applications & drivers supporting a wide range of legacy/new equipment and
protocols.
APPLICATIONS
PLANIT UOS CORE
PLANIT UOS CONTROL
UO
S
DEVICES &ENVIRONMENT
IoT
Intervene
Or Or
Cloud or On-Premise or Hybrid
On-Premise, Edge
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ContentsPeople and Infrastructure
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Co
mm
on
Un
der
lyin
g P
latf
orm
(U
OS)
CO
MM
ON
DAT
A M
OD
EL
Human Activity, Behavior & Experience
Industrial Hospitality Travel CommercialRetail Residential Leisure Healthcare
Physical Infrastructure and Building Fabric
Buildings and BMS Lighting Industrial equipmentEnergy Water Air SecurityParking Utilities Asset Monitoring 5G
Mutual impact
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ContentsPlatform Principles
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• Shared digital infrastructure across use cases
• Untether data from single use
• Open standards
• Common data/meta model
• Real-time capability & historic data
• Enable fully described and ‘analytics-ready’ data
• Interoperable with other platforms/systems
• Highly scalable up and down
• Hardware and device agnostic – new and legacy
• Agnostic to hosting/network/comms layers
• Third party app ecosystem
• Edge intelligence
• Consider need for hard real-time control/actuation
• Robust and scalable privacy and security
• Multi-tenant, multi-stakeholder environment
• Express people as well as things
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“All the information gathered by all the sensors in the world isn’t worth very much if there isn’t an infrastructure in place to analyse it in real time.”
Daniel Burrus, (founder and CEO of Burrus Research, Wired Magazine)
“…and act on it.”
Dan Byles, (me)
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Industrial IoT, or Industry 4.0
Technology use case: Industrial welding
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ContentsGaining Value from Data
© 2019 Living PlanIT AG Confidential
DATA
• Gather from multiple sources
• Use for more than one purpose
• Keep it safe, relevant & accessible
• Express both past and present
• Integrate and normalise
BUT
• Noisy & imperfect
• Coming at different times
• Coming from different places
INSIGHT
• Understand what is happening, in real-time and over time
• Find meaning in the data
• In context – time/space/activity
• Enable correlations
• Enable analytics, AI, ML
• Effective data management
• Support effective decision making
INTERVENTIONS
• Do things differently
• Immediate interventions
• Informed longer term change
• Autonomous and/or manual
• Improve efficiencies
• Lower costs
• More sustainable infrastructure
• Better experiences
QUALITY OF LIFE
FEEDBACK > TEST > VERIFY
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ContentsWhy?
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• Improve process efficiency
• Consistency
• Fewer errors, less wastage
• Reduced inputs (energy, materials)
• Lower costs
• Faster
• Less downtime
• Predictive maintenance
• Safer
• Improved performance
• Higher quality
• Digital twins – enable modelling and “what if” planning
• Improved Operational Equipment Effectiveness (OEE)
• Audit/Governance - data
• Redesign of next generation equipment
• More…
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ContentsLessons from other Sectors
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Contents
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Motor Sports Telemetry & ECUDevices/sensors: Thousands per carData points/samples: 750m per raceGeographical distribution: Worldwide
Electronic Control Unit (ECU) – ‘Brain’ of the Racing Car
Living PlanIT has no commercial relationship with motorsports. However, we own the sophisticated software platform used to manage real-time data, telemetry and control for major systems:
• Real-time control of engine, transmission, active aero devices, suspension and braking
• Ultra-fast and mission critical telemetry• “Digital twins” – multiple real-time simulations of the
race to optimise real-time performance, and improve longer term car design
Systems, devices, sensors and data feeds connected
Living PlanIT not directly involved, McLaren Applied Technology use this software to run Formula One, NASCAR and IndyCar. Living PlanIT owns the technology.
• 300+ sensors per car• 6,000 separate engine parts, 8,500 electronic parts• Platform manages vast amount of data at high speeds • 750 million data points per race• Integrates data from multiple types of engine, gearbox,
telemetry system etc
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ContentsSmart Buildings & Energy Management
IoT and AI for Smart Building Systems
• Connect to existing equipment – unlock data
• Add new sensors and smarter devices
• An IoT platform with a converged, real-time data environment for analytics and insight in buildings
• Direct & integrated control of building systems such as sensors, lighting and HVAC equipment
• Enabling AI and ML for autonomous building optimisation
Living PlanITProduct Classes
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Contents
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Understanding the People Element
People Movement – safety, efficiency, comfort
• Cameras, phones, tags
• Understand footfall, path and flow monitoring
• Monitoring and analytics for crowds and people
• Secure location-tracking of key individuals
• Real-time, context based two way communication
• Optimise work processes
• Identify pinch points
• Improve safety
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Industrial Case Study
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ContentsIndustrial IoT Solution
Industry 4.0
Ultra fast and robust industrial solution for monitoring critical factory equipment and processes. Highly scalable commercial product, currently being trialed by major US automotive manufacturer for safety-critical welding process
• Monitors and tracks key (time-stamped) process variables at up to 10 kHz
• Data is utilized for safety/autoshutdown, process optimization and determining Overall Equipment Effectiveness (OEE)
• Agnostic to the equipment, plant, sensors or parameters to be measured. Highly flexible and configurable.
Example use cases
Industrial ARC welding
Live deployments:
• Kirchhoff Automotive (US)• General Motors (US)
Partners
ELCo – channel partner
Living PlanITProduct Classes
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Contents
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WizardView – Weld Summary - Performance
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WizardView - Weld Fingerprint – Audit/Governance
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Next Step
Introducing Artificial Intelligence for improved insights
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WeldingEquipment
UOS – Real-time Welding Process Monitoring
Volts
Gas flow
WireSpeed
ArcCurrent
Real-timeParametersMonitoring
OPEX
Quality
ProcessEfficiency
Monitoring
ANNmodels
TNN OKNOK
Simplified Supervised Machine Learning
ArtificialNeural Network
Models
TrainedNeural
Network
Input Output
Real-time data
Real-time data
ExternalQuality
Info
InputQuality
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Artificial Intelligence: Phase One
An Artificial Neural Network (ANN) will be used to infer the adequacy of components by analyzing the fingerprint repository and establishing patterns of correlation for assessing component compliance with quality requirements
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WeldingEquipment
UOS – Real-time Welding Process Monitoring
Volts
Gas flow
WireSpeed
ArcCurrent
Real-timeParametersMonitoring
OPEX
Quality
ProcessEfficiency
Monitoring
ImageAcquire
CNNmodels
TNN100%
Qualitycontrol
Real-time Artificial Intelligence
InputSingle
Camera
ConvolutionalNeural Network
Models
TrainedNeural
Network
Input Output
Feedback for process & quality improvement
Real-time data
Real-time data
Real-time data
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Artificial Intelligence: Phase TwoPhase 2 will increase the deductive abilities, with support for image acquisition and reactive feedback, allowing adjustments to the welding process itself.
Using a more advanced artificial neural network model called a Convolutional Neural Network (CNN), the system will control and ensure high performing Quality Control Process
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AI Case Study: unlocking greater insights
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ContentsNeural Network adding value - video
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Contact:
Dan Byles
Chief Commercial Officer
© 2019 Living PlanIT AG - Confidential