SlideShare ist ein Scribd-Unternehmen logo
1 von 77
Downloaden Sie, um offline zu lesen
Metaverse & Digital Twins
在企業的應用與建置
Tommy Wu (吳志忠) , IoT Solution Architect
Microsoft , Global Partner Solutions
Consumer Metaverse Enterprise Metaverse Industrial Metaverse
Microsoft Enterprise & Industrial Metaverse
Different use cases target different domains
Facebook Focus
Microsoft Mesh Focus
Azure IoT & Customer Innovation Team
Metaverse capabilities
Physical World
Synchronize
Model
Monitor
Track the Past, Analyze
Predict, Simulate, Autonomous Control
Interact
Physical World
Azure IoT
Azure Digital Twins
Azure Maps, Indoor
Azure Synapse Analytics
Azure AI & Microsoft Project Bonsai
Power Platform
Microsoft Mesh & HoloLens
Metaverse technology stack
Digital Twin applications in manufacturing
Configuration
Management
Asset
Management
Process
Control
Performance
Management
Simulation
Modeling
Priority Scenarios
Product
[Connected Product
Innovation]
Factory
[Factory of the Future]
Supply Chain
[Intelligent Supply Chain]
Spaces
[Smart Buildings]
ISV Partners SI Partners
Process Control
Digital Capabilities across the Enterprise
Turbine 3 Power Plant
Turbine 1 Turbine 2
Performance Mgmt
O SN #44
BSN #7
H
K
L
R
S
A
Q SN #71
O SN #44
SN #6
H
K
L
R
S
Q SN #71
A
O SN #AB
H
K
L
R
S
SN #8
Q SN #71
A
Configuration Mgmt
Simulation
Configuration Mgmt
Asset Mgmt
Process Control
Performance Mgmt
Service change
J
C
D
G
T
J
C
D
G
T
C
D
G
T
J
F
Simulation
F
Fuel Pump
Asset Mgmt
SN #97
F SN #98
F SN #99
F
What can you do with
Digital Twins?
Physical Digital Environment
&
Interact
Model any environment, connect sensors and business systems to the model.
Control the present, track the past and predict the future.
Azure Digital Twins
Banks
Finance
Plants
Factories
Industrial Sites
Utilities
Manufacturing Stores
Warehouses
Distribution
Centers
Malls
Micro-fulfillment
Retail
Building
Office
Entertainment
Restaurants
Hotels
Enterprise
Campus
Real Estate
Public Spaces
Arenas &
Stadiums
Transportation Hubs
Subway &
Train Stations
Ports
Utilities
Water Treatment
Facilities
Cities & Government
Hospitals
Labs
Pharmacies
Clinics
Retirement
Facilities
Healthcare
Farms
Water Supply
Power
Storage
Processing
Agriculture
Schools
Campuses
Virtual
Environments
Education
Generating
Power Stations
Substations
Energy
Connected Assets Connected Environments Connected Ecosystems
Azure Digital Twins
REST
API
External Compute
Handles business logic and data processing
Client Apps
Manage models and the digital twins graph
Digital Twins
Definition
Language
A Z U R E D I G I T A L
T W I N S G R A P H
IoT Hub
Workflow integration
(e.g. Logic Apps)
Business systems/services
integration via REST APIs
Workflow integration
(e.g. Logic Apps)
Cold Storage
Azure Data Explorer
Analytics
Create next generation IoT solutions that model the real world
Open Modeling
Language
Live Execution
Environment
Input from IoT &
Business Systems
Output to TSI,
Storage & Analytics
{
"@id": “dtmi:example:Station;1",
"@type": "Interface",
"extends": “dtmi:example:Room;1",
"contents": [
{
"@type": "Property",
"name": “isOccupied",
"schema": "boolean“
},
{
"@type": “Property",
"name": “hasAVSystem",
"schema": “boolean“
},
{
"@type": "Property",
"name": “capacity",
"schema": “integer“
}
],
"@context": "dtmi:dtdl:context;2"
}
Azure Digital Twins
Model any environment, connect sensors and business systems to the model.
Control the present, track the past and predict the future
▪ Create custom domain models using “Digital Twins Definition Language” (DTDL)
▪ Models describe twins in terms of
▪ Telemetry
▪ Properties
▪ Commands
▪ Relationships
▪ Components
▪ Models define semantic relationships to connect twins into a knowledge graph
▪ Models can specialize other twins using inheritance
▪ Digital Twins Definition Language is aligned with
▪ IoT Plug and Play
▪ Time Series Insights data model
ADX,
Open Modeling
Language
Live Execution
Environment
Input from IoT &
Business Systems
Output to TSI,
Storage & Analytics
Azure Digital Twins
Model any environment, connect sensors and business systems to the model.
Control the present, track the past and predict the future
▪ Create a live execution environment from the DTDL models in
Azure Digital Twins
▪ Twin instances and relationships form a live graph representation
of the environment
▪ Use a rich event system to drive business logic and data
processing. Use external compute such as Azure Functions
▪ Extract insights from the live execution environment with a
powerful query API
▪ Query using rich search conditions, including property values,
relationships, relationship properties, type information and more
DTDL
Azure Digital Twins
Azure Digital Twins Graph
Zone 1
Track 1 Track 2 Track 3
Station 1
Region 1
Train 1
Switch 1
Access
Gate 1
Access
Gate 2
ADX,
Open Modeling
Language
Live Execution
Environment
Input from IoT &
Business Systems
Output to TSI,
Storage & Analytics
Azure Digital Twins
Model any environment, connect sensors and business systems to the model.
Control the present, track the past and predict the future
▪ Use IoT Hub to connect to IoT and IoT Edge devices to keep the live
execution environment up to date
▪ Use a new or an existing IoT Hub (IoT Hub is no longer internal to
Azure Digital Twins)
▪ Drive ADT from other data sources using REST APIs or create a Logic
Apps connector
Azure Digital Twins Graph
Zone 1
Track 1 Track 2 Track 3
Station 1
Region 1
Train 1
Switch 1
Access
Gate 1
Access
Gate 2
REST
API
ADX,
Azure Digital Twins
Open Modeling
Language
Live Execution
Environment
Input from IoT &
Business Systems
Output to TSI,
Storage & Analytics
Cold Storage
Historical
Actions
Analytics
Azure Digital Twins
Model any environment, connect sensors and business systems to the model.
Control the present, track the past and predict the future
▪ Use event routes to send data to downstream services
via Event Hub, Event Grid or Service Bus
▪ Connect Azure Digital Twins to Azure Data Explorer to
track time series history of each node
▪ Store data in Azure Data Lake, analyze data with Azure
Synapse and other Microsoft data tools for analytics,
integrate workflow with Logic Apps
Azure Digital Twins Graph
Zone 1
Track 1 Track 2 Track 3
Station 1
Region 1
Train 1
Switch 1
Access
Gate 1
Access
Gate 2
REST
API
ADX,
Azure Digital Twins
3D Model Creation & Rendering Technology
WebXR 3D Model Render With Digital Twins
Babylon.js includes updated support for WebXR. This
exciting new standard allows developers to easily
create compelling cross-browser AR/VR web
experiences
Babylon.js: Powerful, Beautiful, Simple, Open - Web-Based 3D At Its Best (babylonjs.com)
UI Modeling with Babylon.js – 3D Model Rendering
UI Modeling with Babylon.js – Azure Digital Twins Model
• Model your data as Digital Twins Graph • Update Model Properties by IoT Sensors
UI Modeling with Babylon.js – WebXR in Hololens
You can view WebXR experiences in Windows Mixed Reality with the new Microsoft Edge and Firefox Reality
const xr = await scene.createDefaultXRExperienceAsync({
floorMeshes: [env.ground]
});
Render your App in Hololens 2
XR Support
Rendering Effect in Hololens 2
Digital Twins
for critical infrastructure
Bentley’s mission is to provide
innovative software and services
for the enterprises and professionals who
design, build, and operate
the world’s infrastructure – sustaining the
global economy and environment for
improved quality of life.
Roads and
Bridges
Oil and Gas
Digital Cities | Digital Factories
Electric and
Gas Utilities
Rail and
Transit
Offshore
WWW.BENTLEY.COM | © 2020 Bentley Systems, Incorporated
Water Treatment
Plants
Construction
25 | WWW.BENTLEY.COM | © 2020 Bentley Systems, Incorporated
• Visualize, simulate, and optimize every aspect of critical
infrastructure including energy efficiency, carbon footprint,
safety, and disaster response
• Track current performance, predict future performance,
and reduce maintenance costs
• Monitor energy consumption, air quality, space occupancy
and temperature
• Simulate the impact of workplace incidents or extreme
weather events
iTwin – Infrastructure Digital Twins
Benefiting from Microsoft Azure Digital Twins and Azure IoT
Hub—including a wide range of Azure microservices—Bentley’s
users can now rapidly process and make sense of huge amounts
of sensor data, produce critical insights, and gain quick decision-
making capabilities.
Roads and
Bridges
Digital Cities | Digital Factories
Electric and
Gas Utilities
Rail and
Transit
Offshore
Water Treatment
Plants
Construction Oil and Gas
Connected Highway
Coffs Harbour Roadway in Australia
Need: Access to sensor data to monitor
health of roadway infrastructure
Problem: Large amounts of unstructured data
from disparate systems
Solution: Digital twin to visualize streaming
data and alert operators when
actions need to be taken
Benefits: Safer roadways with lower cost and
more efficient maintenance
27 | WWW.BENTLEY.COM | © 2020 Bentley Systems, Incorporated
Smart Buildings: Real Estate Core
▪ Partnered with RealEstateCore (OSS)
▪ https://github.com/Azure/opendigitaltwins-
building
Smart Cities: ETSI NGSI-LD
▪ Extend through community contribution
▪ github.com/Azure/opendigitaltwins-smartcities
Domain-specific Ontologies to get started
Open-Source RDF/OWL to DTDL sample converters
Digital Twins Consortium
Founders and Groundbreakers
Founders
Air Force Research Laboratory CodeData Healthskouts LUNO UAB Systems Analytics Solutions
Animated Insights Connector Geek Ltd IIMBE Lux Modus Ltd. Transforma Insights
Asset Management Lab, LLC ConstruWise, Inc. IOTA Foundation Monash University Trendspek
Association of Asset Management Professionals CumuloCogitus Inc. IOTIFY NSW State Government Twin Building GmbH
Autiosalo Ltd Cybertwin Idun Real Estate Solutions AB Neural Concept University of Melbourne
BEC - Blockchain Engineering Council DIGIOTAI ieLabs Padi LLC UrsaLeo Inc.
BIM6D Consulting DataCities IoT Management Piprate WSC Technology
Bandora Systems e-Magic Inc. imec PropTechNL Willow
Bentley Systems Executive Development Itus Digital Resonai Ynomia
Building 4.0 CRC Gafcon, Inc. Jitsuin, Inc. Ricardo YoGeo, Inc.
Chain Technology Development Co. Limited Geminus.AI LINQ Ltd. Slingshot Simulations
Groundbreakers
GIS Maps Rendering Using Digital Twins
Scaleand secure your privatemap data usingAzure Maps Creator as yourcopy of record
Azure Maps Creator
API and SDK in support of indoor
map data owners and smart building
applications
Mapping as a Service: automated
CAD processing, multiple level of
details, built-in map styles and
dynamic styling options for IoT
Map Services: render, spatial query
API and more
SDK: integrate indoor with multiple layers and indoor-outdoor experiences
In Public Preview
Indoor Map Data Management Experiences
Transform CAD data to maps
Georeference facilities, Categorize rooms and
additional metadata properties
Review CAD data
errors
Create maps with multiple facilities
Author Maps
Point of interest, logical spaces and more
Bulk Import of fixture data
Examples of supported Smart Building Solution Experiences
Facility Managers
Queries (show all mid-size meeting rooms, ramps)
Replay IoT data, aggregate, monitor live
Asset Tracking/Guests/VIP experiences
Use indoor asset location to track assets, define and
monitor geofences and trigger business logic
Help users find and reach
point of interest
(not in public preview)
Linking reference and operational data
Correlate space with other related systems’ live data
Devices
(Occupancy, Temperature, …)
Microsoft Graph
Free/Busy, Book Now, …
Vision Modules
People Count, People
Tracking, …
Location
COSINE 802.11mc, Beacons, …
Azure Maps
Azure Digital Twins
Thigs-Topology, Ontology,
…
Customer solutions
Other Sources
Live Maps
Asset Tracking/geofencing/…
Spatial Queries
Device - space relationships,
augment and aggregate data
Maps Conversion Tool - Quickly Convert Your DWG CAD file
CAD file Data Model in Azure Digital Twins Explorer
Indoor Maps Update based on DT Model Property
Azure AI
Sense. Plan. Act.
• Perceive and asses the system’s state
• Create intelligent recommendations
• Activate autonomous systems across
processes and equipment
Azure Spatial Analysis AI Service
The spatial analysis container enables you to analyze real-time streaming video to understand spatial relationships
between people, their movement, and interactions with objects in physical environments
• Counts people in a designated zone in the camera's field of view
• Tracks when a person crosses a designated line in the camera's field of view.
• Tracks when a person crosses a designated line in the camera's field of view.
• Tracks when people violate a distance rule.
Classified as Microsoft Confidential
Azure Percept
Audio
Azure Percept
Vision
Azure Percept
Trust Module
Classified as Microsoft Confidential
Delightful onboarding
Integrated experiences
No code flow
Advanced flow
Prototype and deploy
Seamlessly build and manage edge AI solutions
Automotive /
Transportation
Factory automation
Cabin intelligence
Driver distraction
Passenger detection
Conversational AI
Command & control
Sensor data efficiency
Manufacturing
Predictive
maintenance
Field service
Worker safety & loss
prevention
Factory automation &
defect detection
Incident response
Automated supply
chain & assembly
Retail
Space & assortment
Traffic patterns
Personalization
Inventory
management
Shrinkage reduction
Optimal product
placement
Smart City/
Buildings
Security & surveillance
Access control via
custom command
Energy management
Transportation &
traffic management
Utilities management
Monitoring &
workplace safety
Healthcare
Patient recognition &
monitoring
Supply chain &
operational efficiency
Identification of
patient issues
Waiting room
prioritization
Scheduling &
reminders
Time spent in a queue Vehicle detection with parking stall alerting
Dangerous zone detection
Security and surveillance
Mixed Reality Development with Digital Twins
Most comfortable and
immersive mixed reality
experience available
Largest ecosystem of 1st & 3rd
Party mixed reality solutions
The reliability, security, and
scalability of cloud and AI
services from Azure
Vision
Hearing
Speech
Mobility
Blind on one or both eye, amblyopia, color blind,
low peripheral vision, low contrast, limited field of
view in progressive lenses
Deaf or decreased hearing on one side or both,
limited hearing in certain frequencies
Mute, language/accent, speech aid like
electrolarynx user/voice amplifier, speech disorder
Wheelchair user, neck injury
Permanent
Missing or damaged Rx glasses, device display
issues (brightness, color), injury
Blocked by other communication device or ear
protection, muted audio volume
Face mask, sore throat, post dental surgery
Injury, fatigued, arthritis, surgery recovery
Temporary
Low visibility environment (factory or exhibition hall
that is too bright), outdoor, distracted, fog, dirty
lens
Noisy environment, broken headset speaker, quiet
location
Noisy environment, quiet location, broken mic
Tight environment, environmental changes
Situational
Cognitive Dementia, ADHD, Mild Cognitive Impairment Injury, stressed, fatigued, medicated state Multi-tasking, instructor in classroom, demo in
crowded environment
Mixed Reality Persona Spectrum
Hand Missing arms or fingers Injury, fatigued, arthritis, surgery recovery Hands are occupied, broken input device,
gloves/hand protection
Multi-user construction visualization
Building Mixed Reality Experiences
Immersive marketing and communications 3D Mapping and planning with geospatial data
IOT data visualization Mixed reality training systems Interactive installation design
Design Monitor Operation
Mixed Reality Metaverse Application Design Flow
Microsoft Mesh Azure Digital Twins Remote Assist
Azure IoT Data Explorer
Spatial Anchor
Teams
Spatial Map
Holographic Guides
Vision AI
Here can be anywhere
Feel presence Connect from anywhere
Experience together
Accelerate development of collaborative
Mixed Reality solutions with AI powered
tools.
Reach users on multiple platforms and
devices.
Scale apps confidently by benefitting
from Azure’s global infrastructure that
powers Mesh.
Immersive Presence Spatial Maps
Holographic Rendering Multiuser sync
Core Capabilities
53
w
w
w
.
d
a
t
a
m
e
s
h
.
c
o
m
Mixed Reality Digital Twins Execution Runtime
BI Report
IoT Telemetry
UI Widget
3D Model
54
w
w
w
.
d
a
t
a
m
e
s
h
.
c
o
m Digital Twins MR Design Studio
• Visual Design
• Tool Assistant
• Report Integration
• IOT Integration
• Parameter Tuning
• Scene Editor
MR Spatial
Computing
55
Azure Spatial Anchors
Azure Object Anchors Azure Remote Rendering
Azure Spatial Anchors
56
Azure Spatial Anchors
Azure Spatial
Anchors SDK
(Android,
iOS,
Hololens,
Linux (new!))
Session:
Image features,
image poses
Query Returns:
relative anchor
6 DoF pose
Query: anchor ID
Create Anchor:
desired relative pose
Create Anchor Returns:
anchor ID
Images,
poses from
AR
Image
features,
poses from
Head
Tracking
Undistorted
images,
poses from
own SLAM
system
Robots of the Future
Now: mostly logistics
(move from A to B) Future: robots with spatial intelligence
Warehouse Search and Rescue
Construction
Future: humans and robots working together
Retail Store Scenario
• Store Shelf Design
• Virtual Interior Design
• Retail IoT Monitoring
• Warehousing
Digital Twins Realtime Feeds from IoT Sensors
MR AI Model Training and Identification
Model Training
Custom vision
Object Anchor
Label&Training
MR Toolkit UI Render
Object Detect + Object Tracking
IoT Edge
Inference
NVIDIA Isaac Sim
Azure Digital Twins
A Z U R E D I G I T A L
T W I N S G R A P H
Data Model Twin
IoT Hub
with Digital Twins in Simulation
MR Application Development Framework
MRTK – Mixed Reality ToolKit for MR development
• Provides the cross-platform input system and
building blocks for spatial interactions and UI.
• Enables rapid prototyping via in-editor
simulation that allows you to see changes
immediately.
• Operates as an extensible framework that
provides developers the ability to swap out
core components.
• Supports a wide range of platforms,
microsoft/MixedRealityToolkit-Unity: Mixed Reality Toolkit (MRTK) provides a set of components and features to accelerate cross-platform MR app development in Unity. (github.com)
MR Toolkit In Unity Application
• Spatial Awareness
Profile
• MR Toolkit Preview
• MR Toolkit in Unity
• UI Component
• Inspector
MRTK Pre-built UI Block - Prefabs
• The MRTK Toolbox is a Unity
editor window utility that makes
it easy to discover and spawn
MRTK UX prefab components
into the current scene.
• Items can be filtered in view by
using the search bar at the top of
the window.
• The toolbox window is designed
to spawn MRTK out-of-box
prefabs into the current scene
Real-life Hologram in Mixed Reality
Dynamics 365 Business Applications
Empower employees and optimize operations with
Technicians solve problems in real-time with the
help of remote experts
Managers walk the job site without being on site
Remote Assist Guides
More quickly train/upskill employees
with ​hands-on learning​
Analyze data to optimize business processes​
What is Azure
Communication
Services?
Voice & Video Calling
SMS Telephony
Chat
Mixed Reality Streaming with ACS
Customer use cases
EDGE creates a new
generation of innovative,
healthy and sustainable
buildings.
The EDGE software platform
delivers advanced data
analytics through simple user
interfaces.
The Wizata Platform
empowers the manufacturing
industry to drive its digital
transformation.
It brings together Digital Twin,
Data Explorer and AI Solution
Builder functionality.
Bosch delivers Smart
Solutions and Services for
commercial buildings
By applying semantic models
in the Digital Twins service,
Bosch gains powerful insights
cross domains for a wide
range of building types
WillowTwinTM enables owners
and operators of infrastructure
to manage with greater
efficiency.
It drives operational
improvements at scale and
provide their occupants or
users with an enhanced
experience.
Partner use cases
Twin Builder: Physics-Based
Digital Twins
Ansys used Azure Digital
Twins to make it even easier
to deploy physics-based
Digital Twin models for
enhanced predictive and
prescriptive maintenance of
physical assets and
equipment.
iTwin: Infrastructure Digital
Twins
Benefiting from Microsoft
Azure Digital Twins, Bentley’s
iTwin users can now rapidly
process and make sense of
huge amounts of sensor data,
produce critical insights, and
gain quick decision
making capabilities.
CONST
CONST2
CONST
CONST3
CONST
CONST5
V_water
V_gasoil
View2
average
StaticMixer_Gasoil2
PULSE2
mflow_1
mflow_2
liquidFraction1
mflow_out
scalar_outputs1
Y
t
DATAPAIRS1
valveOpening
mflow_out
vflow_out
inletPressure
PumpingLine1
valveOpening
mflow_out
vflow_out
inletPressure
PumpingLine2
Demo: Refinery Gasoline Blending Process
Challenge: Efficient blending is critical to make target gasoline
grades. With existing solutions, blend quality can typically only be
determined after the blending process has completed. This leads to
blend downgrades or fixes, costing time and money
Solution: A Simulation-Based Digital Twin of the blending process
augments available sensor streams with virtual sensors that help
better predict blend quality. In addition, issues such as insufficient
pressure/flow can be quickly detected and remedied in near real-
time to ensure efficient blending
Results: The solution should help refinery customers realize
operational improvements in the range of 10%, representing savings
of tens of millions of dollars per year per refinery
Digital Twins Architecture
Display
Reality
Data Tiles
Microsoft & Bentley Systems: An Example Digital Twin Architecture
Reality Data Service
Background Map
Service (Bing)
Tiles Tiles
1
Display
Background
Map Tiles
2
App Backend
(iModel.js)
Tiles
JSON
Display iModel
Tiles
Properties
3
iModelHub
Azure Cloud Service
Engineering
Tool A
Engineering
Tool B
Desktop tools from
Bentley / 3rd Parties
A
B
Project
Start
Current
Status
ADT Export Agent
(iModel.js)
Azure Digital Twins
Pull ADT
Properties/Telemetry
4
Display Time Series
Derived Values, Telemetry
5
On demand
Azure Event Hub
Persist historical values
in Azure Time
Series Insights
6
Author
1
Align
2
Synchronize
3
Sync subset
to DTDL
4
Driven by pace of
engineering change
Update ADT – Derived
Values &Telemetry
5
Trigger Azure Function
With Telemetry
3
Continuous /
real-time
Azure IoT Hub
Simulated Sensors
Compute Derived
Values
4
Send Telemetry
to IoT Hub
2
Generate Simulated
Sensor Values
(Telemetry)
1
App Frontend
(iModel.js)
DTDL
THANK YOU
Q&A

Weitere ähnliche Inhalte

Was ist angesagt?

Data Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshData Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to Mesh
Jeffrey T. Pollock
 
Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)
Nathan Bijnens
 

Was ist angesagt? (20)

Data Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshData Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to Mesh
 
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache KafkaThe Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
 
Introducing Change Data Capture with Debezium
Introducing Change Data Capture with DebeziumIntroducing Change Data Capture with Debezium
Introducing Change Data Capture with Debezium
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data Solutions
 
Industry X.0 in Action | Slideshare
Industry X.0 in Action | SlideshareIndustry X.0 in Action | Slideshare
Industry X.0 in Action | Slideshare
 
Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4Data Lakehouse Symposium | Day 4
Data Lakehouse Symposium | Day 4
 
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
Presto: Fast SQL-on-Anything (including Delta Lake, Snowflake, Elasticsearch ...
 
DW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptxDW Migration Webinar-March 2022.pptx
DW Migration Webinar-March 2022.pptx
 
Introducing Databricks Delta
Introducing Databricks DeltaIntroducing Databricks Delta
Introducing Databricks Delta
 
Rahat Yasir: Enterprise Data & AI Strategy & Platform Designing
Rahat Yasir: Enterprise Data & AI Strategy & Platform DesigningRahat Yasir: Enterprise Data & AI Strategy & Platform Designing
Rahat Yasir: Enterprise Data & AI Strategy & Platform Designing
 
Data Lakehouse, Data Mesh, and Data Fabric (r2)
Data Lakehouse, Data Mesh, and Data Fabric (r2)Data Lakehouse, Data Mesh, and Data Fabric (r2)
Data Lakehouse, Data Mesh, and Data Fabric (r2)
 
Apache Kafka in the Healthcare Industry
Apache Kafka in the Healthcare IndustryApache Kafka in the Healthcare Industry
Apache Kafka in the Healthcare Industry
 
Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)
 
Introduction to Azure Databricks
Introduction to Azure DatabricksIntroduction to Azure Databricks
Introduction to Azure Databricks
 
A Visual Introduction to Apache Kafka
A Visual Introduction to Apache KafkaA Visual Introduction to Apache Kafka
A Visual Introduction to Apache Kafka
 
Apache Kafka® and the Data Mesh
Apache Kafka® and the Data MeshApache Kafka® and the Data Mesh
Apache Kafka® and the Data Mesh
 
Lake Database Database Template Map Data in Azure Synapse Analytics
Lake Database  Database Template  Map Data in Azure Synapse AnalyticsLake Database  Database Template  Map Data in Azure Synapse Analytics
Lake Database Database Template Map Data in Azure Synapse Analytics
 
The Importance of DataOps in a Multi-Cloud World
The Importance of DataOps in a Multi-Cloud WorldThe Importance of DataOps in a Multi-Cloud World
The Importance of DataOps in a Multi-Cloud World
 
Transforming the industry that transformed the world
Transforming the industry that transformed the worldTransforming the industry that transformed the world
Transforming the industry that transformed the world
 
Microservices Architecture Part 2 Event Sourcing and Saga
Microservices Architecture Part 2 Event Sourcing and SagaMicroservices Architecture Part 2 Event Sourcing and Saga
Microservices Architecture Part 2 Event Sourcing and Saga
 

Ähnlich wie Metaverse and Digital Twins on Enterprise-Public.pdf

IoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoT
IoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoTIoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoT
IoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoT
IoT Academy
 
Architectural solutions for the cloud
Architectural solutions for the cloudArchitectural solutions for the cloud
Architectural solutions for the cloud
threesixty
 

Ähnlich wie Metaverse and Digital Twins on Enterprise-Public.pdf (20)

Integration of Things (Sam Vanhoutte @Iglooconf 2017)
Integration of Things (Sam Vanhoutte @Iglooconf 2017) Integration of Things (Sam Vanhoutte @Iglooconf 2017)
Integration of Things (Sam Vanhoutte @Iglooconf 2017)
 
Azure IoT Summary
Azure IoT SummaryAzure IoT Summary
Azure IoT Summary
 
AIoT and edge computing solutions
AIoT and edge computing solutionsAIoT and edge computing solutions
AIoT and edge computing solutions
 
Azure iot edge and AI enabling the intelligent edge
Azure iot edge and AI  enabling the intelligent edgeAzure iot edge and AI  enabling the intelligent edge
Azure iot edge and AI enabling the intelligent edge
 
Azure and Predix
Azure and PredixAzure and Predix
Azure and Predix
 
IoTSummit: Create iot devices connected or on the edge using ai and ml
IoTSummit: Create iot devices connected or on the edge using ai and mlIoTSummit: Create iot devices connected or on the edge using ai and ml
IoTSummit: Create iot devices connected or on the edge using ai and ml
 
AWS re:Invent 2016: IoT: Build, Test, and Securely Scale (GPST302)
AWS re:Invent 2016: IoT: Build, Test, and Securely Scale (GPST302)AWS re:Invent 2016: IoT: Build, Test, and Securely Scale (GPST302)
AWS re:Invent 2016: IoT: Build, Test, and Securely Scale (GPST302)
 
Hoe het Azure ecosysteem een cruciale rol speelt in uw IoT-oplossing (Glenn C...
Hoe het Azure ecosysteem een cruciale rol speelt in uw IoT-oplossing (Glenn C...Hoe het Azure ecosysteem een cruciale rol speelt in uw IoT-oplossing (Glenn C...
Hoe het Azure ecosysteem een cruciale rol speelt in uw IoT-oplossing (Glenn C...
 
IoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoT
IoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoTIoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoT
IoT Update Oktober 2019 | Jan Depping @Microsoft | The next step in IoT
 
Architectural solutions for the cloud
Architectural solutions for the cloudArchitectural solutions for the cloud
Architectural solutions for the cloud
 
From IoT Central to IoT Hub
From IoT Central to IoT HubFrom IoT Central to IoT Hub
From IoT Central to IoT Hub
 
IoT on azure
IoT on azureIoT on azure
IoT on azure
 
Azure from Rookie to DevStart
Azure from Rookie to DevStartAzure from Rookie to DevStart
Azure from Rookie to DevStart
 
Azure IoT Camp
Azure IoT CampAzure IoT Camp
Azure IoT Camp
 
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
 
IoTforReal Seminar slidedeck
IoTforReal Seminar slidedeckIoTforReal Seminar slidedeck
IoTforReal Seminar slidedeck
 
Building Modern Platforms on Microsoft Azure by Steef-Jan Wiggers
Building Modern Platforms on Microsoft Azure by Steef-Jan WiggersBuilding Modern Platforms on Microsoft Azure by Steef-Jan Wiggers
Building Modern Platforms on Microsoft Azure by Steef-Jan Wiggers
 
Creating IoT powered solutions (Sam Vanhoute @IoT convention)
Creating IoT powered solutions (Sam Vanhoute @IoT convention)Creating IoT powered solutions (Sam Vanhoute @IoT convention)
Creating IoT powered solutions (Sam Vanhoute @IoT convention)
 
Using Modern Tools and Technologies to Improve Your Software Architecture
Using Modern Tools and Technologies to Improve Your Software ArchitectureUsing Modern Tools and Technologies to Improve Your Software Architecture
Using Modern Tools and Technologies to Improve Your Software Architecture
 
Power BI Streaming Data Flow e Azure IoT Central
Power BI Streaming Data Flow e Azure IoT CentralPower BI Streaming Data Flow e Azure IoT Central
Power BI Streaming Data Flow e Azure IoT Central
 

Mehr von 湯米吳 Tommy Wu

Bluemix 智能機器人情境展示
Bluemix 智能機器人情境展示Bluemix 智能機器人情境展示
Bluemix 智能機器人情境展示
湯米吳 Tommy Wu
 

Mehr von 湯米吳 Tommy Wu (10)

Project AI-Care for COVID-19 prevention
Project AI-Care for COVID-19 preventionProject AI-Care for COVID-19 prevention
Project AI-Care for COVID-19 prevention
 
Deep reinforcement learning&Robotics
Deep reinforcement learning&RoboticsDeep reinforcement learning&Robotics
Deep reinforcement learning&Robotics
 
Tj bot 0317實作坊 組裝篇
Tj bot 0317實作坊 組裝篇Tj bot 0317實作坊 組裝篇
Tj bot 0317實作坊 組裝篇
 
聊天機器人實作展示與解密 Tommy wut克邦
聊天機器人實作展示與解密 Tommy wut克邦聊天機器人實作展示與解密 Tommy wut克邦
聊天機器人實作展示與解密 Tommy wut克邦
 
How to create your Smart Toy with bluemix & 7688 Duo board
How to create your Smart Toy with bluemix & 7688 Duo boardHow to create your Smart Toy with bluemix & 7688 Duo board
How to create your Smart Toy with bluemix & 7688 Duo board
 
運用 Ibm watson技術快速打造智慧應用系統
運用 Ibm watson技術快速打造智慧應用系統運用 Ibm watson技術快速打造智慧應用系統
運用 Ibm watson技術快速打造智慧應用系統
 
How to build your own robot with ibm bluemix&watson
How to build your own robot with ibm bluemix&watsonHow to build your own robot with ibm bluemix&watson
How to build your own robot with ibm bluemix&watson
 
Bluemix 智能機器人情境展示
Bluemix 智能機器人情境展示Bluemix 智能機器人情境展示
Bluemix 智能機器人情境展示
 
Cloud development technology sharing (BlueMix premier)
Cloud development technology sharing (BlueMix premier)Cloud development technology sharing (BlueMix premier)
Cloud development technology sharing (BlueMix premier)
 
企業應用行動化開發架構
企業應用行動化開發架構企業應用行動化開發架構
企業應用行動化開發架構
 

Kürzlich hochgeladen

Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Kandungan 087776558899
 
Verification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptxVerification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptx
chumtiyababu
 

Kürzlich hochgeladen (20)

A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxA CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
Call Girls in South Ex (delhi) call me [🔝9953056974🔝] escort service 24X7
 
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKARHAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
HAND TOOLS USED AT ELECTRONICS WORK PRESENTED BY KOUSTAV SARKAR
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Online electricity billing project report..pdf
Online electricity billing project report..pdfOnline electricity billing project report..pdf
Online electricity billing project report..pdf
 
Work-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptxWork-Permit-Receiver-in-Saudi-Aramco.pptx
Work-Permit-Receiver-in-Saudi-Aramco.pptx
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leapUnleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
 
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best ServiceTamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
 
Wadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptxWadi Rum luxhotel lodge Analysis case study.pptx
Wadi Rum luxhotel lodge Analysis case study.pptx
 
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
 
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueDouble Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
 
Verification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptxVerification of thevenin's theorem for BEEE Lab (1).pptx
Verification of thevenin's theorem for BEEE Lab (1).pptx
 
Thermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - VThermal Engineering-R & A / C - unit - V
Thermal Engineering-R & A / C - unit - V
 
kiln thermal load.pptx kiln tgermal load
kiln thermal load.pptx kiln tgermal loadkiln thermal load.pptx kiln tgermal load
kiln thermal load.pptx kiln tgermal load
 
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptxOrlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS Lambda
 

Metaverse and Digital Twins on Enterprise-Public.pdf

  • 1. Metaverse & Digital Twins 在企業的應用與建置 Tommy Wu (吳志忠) , IoT Solution Architect Microsoft , Global Partner Solutions
  • 2. Consumer Metaverse Enterprise Metaverse Industrial Metaverse Microsoft Enterprise & Industrial Metaverse Different use cases target different domains Facebook Focus Microsoft Mesh Focus Azure IoT & Customer Innovation Team
  • 3. Metaverse capabilities Physical World Synchronize Model Monitor Track the Past, Analyze Predict, Simulate, Autonomous Control Interact
  • 4. Physical World Azure IoT Azure Digital Twins Azure Maps, Indoor Azure Synapse Analytics Azure AI & Microsoft Project Bonsai Power Platform Microsoft Mesh & HoloLens Metaverse technology stack
  • 5.
  • 6. Digital Twin applications in manufacturing Configuration Management Asset Management Process Control Performance Management Simulation Modeling Priority Scenarios Product [Connected Product Innovation] Factory [Factory of the Future] Supply Chain [Intelligent Supply Chain] Spaces [Smart Buildings] ISV Partners SI Partners
  • 7. Process Control Digital Capabilities across the Enterprise Turbine 3 Power Plant Turbine 1 Turbine 2 Performance Mgmt O SN #44 BSN #7 H K L R S A Q SN #71 O SN #44 SN #6 H K L R S Q SN #71 A O SN #AB H K L R S SN #8 Q SN #71 A Configuration Mgmt Simulation Configuration Mgmt Asset Mgmt Process Control Performance Mgmt Service change J C D G T J C D G T C D G T J F Simulation F Fuel Pump Asset Mgmt SN #97 F SN #98 F SN #99 F
  • 8. What can you do with Digital Twins?
  • 10.
  • 11. Model any environment, connect sensors and business systems to the model. Control the present, track the past and predict the future. Azure Digital Twins
  • 12. Banks Finance Plants Factories Industrial Sites Utilities Manufacturing Stores Warehouses Distribution Centers Malls Micro-fulfillment Retail Building Office Entertainment Restaurants Hotels Enterprise Campus Real Estate Public Spaces Arenas & Stadiums Transportation Hubs Subway & Train Stations Ports Utilities Water Treatment Facilities Cities & Government Hospitals Labs Pharmacies Clinics Retirement Facilities Healthcare Farms Water Supply Power Storage Processing Agriculture Schools Campuses Virtual Environments Education Generating Power Stations Substations Energy Connected Assets Connected Environments Connected Ecosystems
  • 13. Azure Digital Twins REST API External Compute Handles business logic and data processing Client Apps Manage models and the digital twins graph Digital Twins Definition Language A Z U R E D I G I T A L T W I N S G R A P H IoT Hub Workflow integration (e.g. Logic Apps) Business systems/services integration via REST APIs Workflow integration (e.g. Logic Apps) Cold Storage Azure Data Explorer Analytics Create next generation IoT solutions that model the real world
  • 14. Open Modeling Language Live Execution Environment Input from IoT & Business Systems Output to TSI, Storage & Analytics { "@id": “dtmi:example:Station;1", "@type": "Interface", "extends": “dtmi:example:Room;1", "contents": [ { "@type": "Property", "name": “isOccupied", "schema": "boolean“ }, { "@type": “Property", "name": “hasAVSystem", "schema": “boolean“ }, { "@type": "Property", "name": “capacity", "schema": “integer“ } ], "@context": "dtmi:dtdl:context;2" } Azure Digital Twins Model any environment, connect sensors and business systems to the model. Control the present, track the past and predict the future ▪ Create custom domain models using “Digital Twins Definition Language” (DTDL) ▪ Models describe twins in terms of ▪ Telemetry ▪ Properties ▪ Commands ▪ Relationships ▪ Components ▪ Models define semantic relationships to connect twins into a knowledge graph ▪ Models can specialize other twins using inheritance ▪ Digital Twins Definition Language is aligned with ▪ IoT Plug and Play ▪ Time Series Insights data model ADX,
  • 15. Open Modeling Language Live Execution Environment Input from IoT & Business Systems Output to TSI, Storage & Analytics Azure Digital Twins Model any environment, connect sensors and business systems to the model. Control the present, track the past and predict the future ▪ Create a live execution environment from the DTDL models in Azure Digital Twins ▪ Twin instances and relationships form a live graph representation of the environment ▪ Use a rich event system to drive business logic and data processing. Use external compute such as Azure Functions ▪ Extract insights from the live execution environment with a powerful query API ▪ Query using rich search conditions, including property values, relationships, relationship properties, type information and more DTDL Azure Digital Twins Azure Digital Twins Graph Zone 1 Track 1 Track 2 Track 3 Station 1 Region 1 Train 1 Switch 1 Access Gate 1 Access Gate 2 ADX,
  • 16. Open Modeling Language Live Execution Environment Input from IoT & Business Systems Output to TSI, Storage & Analytics Azure Digital Twins Model any environment, connect sensors and business systems to the model. Control the present, track the past and predict the future ▪ Use IoT Hub to connect to IoT and IoT Edge devices to keep the live execution environment up to date ▪ Use a new or an existing IoT Hub (IoT Hub is no longer internal to Azure Digital Twins) ▪ Drive ADT from other data sources using REST APIs or create a Logic Apps connector Azure Digital Twins Graph Zone 1 Track 1 Track 2 Track 3 Station 1 Region 1 Train 1 Switch 1 Access Gate 1 Access Gate 2 REST API ADX, Azure Digital Twins
  • 17. Open Modeling Language Live Execution Environment Input from IoT & Business Systems Output to TSI, Storage & Analytics Cold Storage Historical Actions Analytics Azure Digital Twins Model any environment, connect sensors and business systems to the model. Control the present, track the past and predict the future ▪ Use event routes to send data to downstream services via Event Hub, Event Grid or Service Bus ▪ Connect Azure Digital Twins to Azure Data Explorer to track time series history of each node ▪ Store data in Azure Data Lake, analyze data with Azure Synapse and other Microsoft data tools for analytics, integrate workflow with Logic Apps Azure Digital Twins Graph Zone 1 Track 1 Track 2 Track 3 Station 1 Region 1 Train 1 Switch 1 Access Gate 1 Access Gate 2 REST API ADX, Azure Digital Twins
  • 18. 3D Model Creation & Rendering Technology
  • 19. WebXR 3D Model Render With Digital Twins
  • 20. Babylon.js includes updated support for WebXR. This exciting new standard allows developers to easily create compelling cross-browser AR/VR web experiences Babylon.js: Powerful, Beautiful, Simple, Open - Web-Based 3D At Its Best (babylonjs.com)
  • 21. UI Modeling with Babylon.js – 3D Model Rendering
  • 22. UI Modeling with Babylon.js – Azure Digital Twins Model • Model your data as Digital Twins Graph • Update Model Properties by IoT Sensors
  • 23. UI Modeling with Babylon.js – WebXR in Hololens You can view WebXR experiences in Windows Mixed Reality with the new Microsoft Edge and Firefox Reality const xr = await scene.createDefaultXRExperienceAsync({ floorMeshes: [env.ground] }); Render your App in Hololens 2 XR Support Rendering Effect in Hololens 2
  • 24. Digital Twins for critical infrastructure Bentley’s mission is to provide innovative software and services for the enterprises and professionals who design, build, and operate the world’s infrastructure – sustaining the global economy and environment for improved quality of life. Roads and Bridges Oil and Gas Digital Cities | Digital Factories Electric and Gas Utilities Rail and Transit Offshore WWW.BENTLEY.COM | © 2020 Bentley Systems, Incorporated Water Treatment Plants Construction
  • 25. 25 | WWW.BENTLEY.COM | © 2020 Bentley Systems, Incorporated • Visualize, simulate, and optimize every aspect of critical infrastructure including energy efficiency, carbon footprint, safety, and disaster response • Track current performance, predict future performance, and reduce maintenance costs • Monitor energy consumption, air quality, space occupancy and temperature • Simulate the impact of workplace incidents or extreme weather events iTwin – Infrastructure Digital Twins Benefiting from Microsoft Azure Digital Twins and Azure IoT Hub—including a wide range of Azure microservices—Bentley’s users can now rapidly process and make sense of huge amounts of sensor data, produce critical insights, and gain quick decision- making capabilities. Roads and Bridges Digital Cities | Digital Factories Electric and Gas Utilities Rail and Transit Offshore Water Treatment Plants Construction Oil and Gas
  • 26. Connected Highway Coffs Harbour Roadway in Australia Need: Access to sensor data to monitor health of roadway infrastructure Problem: Large amounts of unstructured data from disparate systems Solution: Digital twin to visualize streaming data and alert operators when actions need to be taken Benefits: Safer roadways with lower cost and more efficient maintenance
  • 27. 27 | WWW.BENTLEY.COM | © 2020 Bentley Systems, Incorporated
  • 28. Smart Buildings: Real Estate Core ▪ Partnered with RealEstateCore (OSS) ▪ https://github.com/Azure/opendigitaltwins- building Smart Cities: ETSI NGSI-LD ▪ Extend through community contribution ▪ github.com/Azure/opendigitaltwins-smartcities Domain-specific Ontologies to get started Open-Source RDF/OWL to DTDL sample converters
  • 29. Digital Twins Consortium Founders and Groundbreakers Founders Air Force Research Laboratory CodeData Healthskouts LUNO UAB Systems Analytics Solutions Animated Insights Connector Geek Ltd IIMBE Lux Modus Ltd. Transforma Insights Asset Management Lab, LLC ConstruWise, Inc. IOTA Foundation Monash University Trendspek Association of Asset Management Professionals CumuloCogitus Inc. IOTIFY NSW State Government Twin Building GmbH Autiosalo Ltd Cybertwin Idun Real Estate Solutions AB Neural Concept University of Melbourne BEC - Blockchain Engineering Council DIGIOTAI ieLabs Padi LLC UrsaLeo Inc. BIM6D Consulting DataCities IoT Management Piprate WSC Technology Bandora Systems e-Magic Inc. imec PropTechNL Willow Bentley Systems Executive Development Itus Digital Resonai Ynomia Building 4.0 CRC Gafcon, Inc. Jitsuin, Inc. Ricardo YoGeo, Inc. Chain Technology Development Co. Limited Geminus.AI LINQ Ltd. Slingshot Simulations Groundbreakers
  • 30. GIS Maps Rendering Using Digital Twins
  • 31. Scaleand secure your privatemap data usingAzure Maps Creator as yourcopy of record Azure Maps Creator API and SDK in support of indoor map data owners and smart building applications Mapping as a Service: automated CAD processing, multiple level of details, built-in map styles and dynamic styling options for IoT Map Services: render, spatial query API and more SDK: integrate indoor with multiple layers and indoor-outdoor experiences In Public Preview
  • 32. Indoor Map Data Management Experiences Transform CAD data to maps Georeference facilities, Categorize rooms and additional metadata properties Review CAD data errors Create maps with multiple facilities Author Maps Point of interest, logical spaces and more Bulk Import of fixture data
  • 33. Examples of supported Smart Building Solution Experiences Facility Managers Queries (show all mid-size meeting rooms, ramps) Replay IoT data, aggregate, monitor live Asset Tracking/Guests/VIP experiences Use indoor asset location to track assets, define and monitor geofences and trigger business logic Help users find and reach point of interest (not in public preview)
  • 34. Linking reference and operational data Correlate space with other related systems’ live data Devices (Occupancy, Temperature, …) Microsoft Graph Free/Busy, Book Now, … Vision Modules People Count, People Tracking, … Location COSINE 802.11mc, Beacons, … Azure Maps Azure Digital Twins Thigs-Topology, Ontology, … Customer solutions Other Sources Live Maps Asset Tracking/geofencing/… Spatial Queries Device - space relationships, augment and aggregate data
  • 35. Maps Conversion Tool - Quickly Convert Your DWG CAD file
  • 36. CAD file Data Model in Azure Digital Twins Explorer
  • 37. Indoor Maps Update based on DT Model Property
  • 38. Azure AI Sense. Plan. Act. • Perceive and asses the system’s state • Create intelligent recommendations • Activate autonomous systems across processes and equipment
  • 39. Azure Spatial Analysis AI Service The spatial analysis container enables you to analyze real-time streaming video to understand spatial relationships between people, their movement, and interactions with objects in physical environments • Counts people in a designated zone in the camera's field of view • Tracks when a person crosses a designated line in the camera's field of view. • Tracks when a person crosses a designated line in the camera's field of view. • Tracks when people violate a distance rule.
  • 40. Classified as Microsoft Confidential Azure Percept Audio Azure Percept Vision Azure Percept Trust Module
  • 41. Classified as Microsoft Confidential Delightful onboarding Integrated experiences No code flow Advanced flow Prototype and deploy Seamlessly build and manage edge AI solutions
  • 42. Automotive / Transportation Factory automation Cabin intelligence Driver distraction Passenger detection Conversational AI Command & control Sensor data efficiency Manufacturing Predictive maintenance Field service Worker safety & loss prevention Factory automation & defect detection Incident response Automated supply chain & assembly Retail Space & assortment Traffic patterns Personalization Inventory management Shrinkage reduction Optimal product placement Smart City/ Buildings Security & surveillance Access control via custom command Energy management Transportation & traffic management Utilities management Monitoring & workplace safety Healthcare Patient recognition & monitoring Supply chain & operational efficiency Identification of patient issues Waiting room prioritization Scheduling & reminders
  • 43. Time spent in a queue Vehicle detection with parking stall alerting Dangerous zone detection Security and surveillance
  • 44. Mixed Reality Development with Digital Twins
  • 45.
  • 46. Most comfortable and immersive mixed reality experience available Largest ecosystem of 1st & 3rd Party mixed reality solutions The reliability, security, and scalability of cloud and AI services from Azure
  • 47. Vision Hearing Speech Mobility Blind on one or both eye, amblyopia, color blind, low peripheral vision, low contrast, limited field of view in progressive lenses Deaf or decreased hearing on one side or both, limited hearing in certain frequencies Mute, language/accent, speech aid like electrolarynx user/voice amplifier, speech disorder Wheelchair user, neck injury Permanent Missing or damaged Rx glasses, device display issues (brightness, color), injury Blocked by other communication device or ear protection, muted audio volume Face mask, sore throat, post dental surgery Injury, fatigued, arthritis, surgery recovery Temporary Low visibility environment (factory or exhibition hall that is too bright), outdoor, distracted, fog, dirty lens Noisy environment, broken headset speaker, quiet location Noisy environment, quiet location, broken mic Tight environment, environmental changes Situational Cognitive Dementia, ADHD, Mild Cognitive Impairment Injury, stressed, fatigued, medicated state Multi-tasking, instructor in classroom, demo in crowded environment Mixed Reality Persona Spectrum Hand Missing arms or fingers Injury, fatigued, arthritis, surgery recovery Hands are occupied, broken input device, gloves/hand protection
  • 48. Multi-user construction visualization Building Mixed Reality Experiences Immersive marketing and communications 3D Mapping and planning with geospatial data IOT data visualization Mixed reality training systems Interactive installation design
  • 49. Design Monitor Operation Mixed Reality Metaverse Application Design Flow Microsoft Mesh Azure Digital Twins Remote Assist Azure IoT Data Explorer Spatial Anchor Teams Spatial Map Holographic Guides Vision AI
  • 50. Here can be anywhere Feel presence Connect from anywhere Experience together
  • 51. Accelerate development of collaborative Mixed Reality solutions with AI powered tools. Reach users on multiple platforms and devices. Scale apps confidently by benefitting from Azure’s global infrastructure that powers Mesh. Immersive Presence Spatial Maps Holographic Rendering Multiuser sync Core Capabilities
  • 52.
  • 53. 53 w w w . d a t a m e s h . c o m Mixed Reality Digital Twins Execution Runtime BI Report IoT Telemetry UI Widget 3D Model
  • 54. 54 w w w . d a t a m e s h . c o m Digital Twins MR Design Studio • Visual Design • Tool Assistant • Report Integration • IOT Integration • Parameter Tuning • Scene Editor
  • 55. MR Spatial Computing 55 Azure Spatial Anchors Azure Object Anchors Azure Remote Rendering
  • 56. Azure Spatial Anchors 56 Azure Spatial Anchors Azure Spatial Anchors SDK (Android, iOS, Hololens, Linux (new!)) Session: Image features, image poses Query Returns: relative anchor 6 DoF pose Query: anchor ID Create Anchor: desired relative pose Create Anchor Returns: anchor ID Images, poses from AR Image features, poses from Head Tracking Undistorted images, poses from own SLAM system
  • 57. Robots of the Future Now: mostly logistics (move from A to B) Future: robots with spatial intelligence Warehouse Search and Rescue Construction Future: humans and robots working together
  • 58. Retail Store Scenario • Store Shelf Design • Virtual Interior Design • Retail IoT Monitoring • Warehousing
  • 59. Digital Twins Realtime Feeds from IoT Sensors
  • 60. MR AI Model Training and Identification Model Training Custom vision Object Anchor Label&Training MR Toolkit UI Render Object Detect + Object Tracking IoT Edge Inference
  • 61. NVIDIA Isaac Sim Azure Digital Twins A Z U R E D I G I T A L T W I N S G R A P H Data Model Twin IoT Hub with Digital Twins in Simulation
  • 63. MRTK – Mixed Reality ToolKit for MR development • Provides the cross-platform input system and building blocks for spatial interactions and UI. • Enables rapid prototyping via in-editor simulation that allows you to see changes immediately. • Operates as an extensible framework that provides developers the ability to swap out core components. • Supports a wide range of platforms, microsoft/MixedRealityToolkit-Unity: Mixed Reality Toolkit (MRTK) provides a set of components and features to accelerate cross-platform MR app development in Unity. (github.com)
  • 64. MR Toolkit In Unity Application • Spatial Awareness Profile • MR Toolkit Preview • MR Toolkit in Unity • UI Component • Inspector
  • 65. MRTK Pre-built UI Block - Prefabs • The MRTK Toolbox is a Unity editor window utility that makes it easy to discover and spawn MRTK UX prefab components into the current scene. • Items can be filtered in view by using the search bar at the top of the window. • The toolbox window is designed to spawn MRTK out-of-box prefabs into the current scene
  • 66. Real-life Hologram in Mixed Reality
  • 67.
  • 68. Dynamics 365 Business Applications Empower employees and optimize operations with Technicians solve problems in real-time with the help of remote experts Managers walk the job site without being on site Remote Assist Guides More quickly train/upskill employees with ​hands-on learning​ Analyze data to optimize business processes​
  • 69. What is Azure Communication Services? Voice & Video Calling SMS Telephony Chat
  • 71. Customer use cases EDGE creates a new generation of innovative, healthy and sustainable buildings. The EDGE software platform delivers advanced data analytics through simple user interfaces. The Wizata Platform empowers the manufacturing industry to drive its digital transformation. It brings together Digital Twin, Data Explorer and AI Solution Builder functionality. Bosch delivers Smart Solutions and Services for commercial buildings By applying semantic models in the Digital Twins service, Bosch gains powerful insights cross domains for a wide range of building types WillowTwinTM enables owners and operators of infrastructure to manage with greater efficiency. It drives operational improvements at scale and provide their occupants or users with an enhanced experience.
  • 72. Partner use cases Twin Builder: Physics-Based Digital Twins Ansys used Azure Digital Twins to make it even easier to deploy physics-based Digital Twin models for enhanced predictive and prescriptive maintenance of physical assets and equipment. iTwin: Infrastructure Digital Twins Benefiting from Microsoft Azure Digital Twins, Bentley’s iTwin users can now rapidly process and make sense of huge amounts of sensor data, produce critical insights, and gain quick decision making capabilities.
  • 73. CONST CONST2 CONST CONST3 CONST CONST5 V_water V_gasoil View2 average StaticMixer_Gasoil2 PULSE2 mflow_1 mflow_2 liquidFraction1 mflow_out scalar_outputs1 Y t DATAPAIRS1 valveOpening mflow_out vflow_out inletPressure PumpingLine1 valveOpening mflow_out vflow_out inletPressure PumpingLine2 Demo: Refinery Gasoline Blending Process Challenge: Efficient blending is critical to make target gasoline grades. With existing solutions, blend quality can typically only be determined after the blending process has completed. This leads to blend downgrades or fixes, costing time and money Solution: A Simulation-Based Digital Twin of the blending process augments available sensor streams with virtual sensors that help better predict blend quality. In addition, issues such as insufficient pressure/flow can be quickly detected and remedied in near real- time to ensure efficient blending Results: The solution should help refinery customers realize operational improvements in the range of 10%, representing savings of tens of millions of dollars per year per refinery
  • 75.
  • 76. Display Reality Data Tiles Microsoft & Bentley Systems: An Example Digital Twin Architecture Reality Data Service Background Map Service (Bing) Tiles Tiles 1 Display Background Map Tiles 2 App Backend (iModel.js) Tiles JSON Display iModel Tiles Properties 3 iModelHub Azure Cloud Service Engineering Tool A Engineering Tool B Desktop tools from Bentley / 3rd Parties A B Project Start Current Status ADT Export Agent (iModel.js) Azure Digital Twins Pull ADT Properties/Telemetry 4 Display Time Series Derived Values, Telemetry 5 On demand Azure Event Hub Persist historical values in Azure Time Series Insights 6 Author 1 Align 2 Synchronize 3 Sync subset to DTDL 4 Driven by pace of engineering change Update ADT – Derived Values &Telemetry 5 Trigger Azure Function With Telemetry 3 Continuous / real-time Azure IoT Hub Simulated Sensors Compute Derived Values 4 Send Telemetry to IoT Hub 2 Generate Simulated Sensor Values (Telemetry) 1 App Frontend (iModel.js) DTDL