DIGITAL TWINS W A Z U G D e c e m b e r

Transcription

1 DIGITAL TWINS W A Z U G D e c e m b e r J o h a n H o e k J o h a n. H o e W i n v i s i o n. n l F r a n k v a n H o u t e n F r a n k. v a n H o u t e W i n v i s i o n. n l

2 D E D I G I TA L E F E E D B A C K L O O P W AT I S A Z U R E D I G I TA L T W I N S D I G I TA L T W I N S I N R I C H T I N G < < D E M O > > D I G I TA L T W I N S C O N F I G U R E R E N < < D E M O > > V E R W E R K E N V A N D ATA M O T I O N C O 2 Q & A AGENDA

3 DE DIGITALE FEEDBACK LOOP

4 D E D I G I T A L E F E E D B A C K L O O P H E L P T B I J D E D I G I T A L E T R A N S F O R M A T I E V A N O R G A N I S A T I E S PEOPLE I O T D A T A Z O R G T V O O R W A A R D E V O L L E I N P U T C O M B I N A T I E V A N C O R E B U S I N E S S D A T A M E T G E O B S E R V E E R D E D A T A F E E D B A C K V O O R E L K A S P E C T V A N E E N O R G A N I S A T I E O P T I M A L I S A T I E C O R E B U S I N E S S CUSTOMERS DATA INTELLIGENCE PRODUCTS P R O D U C T O P T I M A L I S A T I E C O N T I N U V E R B E T E R E N V A N D E A A N G E B O D E N D I E N S T E N V O O R K O M E N O F D E T E C T E R E N V A N D E F E C T E N M. B. V. A I OPERATIONS IOT EN DE DIGITALE FEEDBACK LOOP D E D I G I T A L E F E E D B A C K L O O P

5 INSIGHTS THINGS ACTIONS FEEDBACK VERZAMELEN, SIMPLISTISCH D E D I G I T A L E F E E D B A C K L O O P

6 Enterprise integration Device recovery Transport protocols Solution scale Internationalization Cloud-to-device commands CI/CD INSIGHTS Cold path analytics Business process integration Operations monitoring Cost management High availability Provisioning devices Device lifecycle Warm path analytics Drivers Device commercialization Disaster recovery Hot path analytics Data ownership HW certification On device analytics Securing data THINGS < ---- End-to-End Security ---- > Manufacturing scale ACTIONS Data visualization FEEDBACK VERZAMELEN, IN PRAKTIJK D E D I G I T A L E F E E D B A C K L O O P Device updates

7 WAT IS AZURE DIGITAL TWINS

8 PHYSICAL WORLD DIGITAL WORLD Data Measure VI Control Insight, optimization Quantified Organization Data Measure Control P EO P L E Quantified Self Insight, optimization Data SPACES Intent, Context Control Assistance, Task completion Artificial Intelligence FYSIEK ONTMOET DIGITAAL W A T I S A Z U R E D I G I T A L T W I N S

9 BUILDING OPERATIONS Remote Monitoring & Fault Detection Predictive Maintenance Energy Forecasting & Optimization BUILDING ANALYTICS Occupancy & Utilization Workplace Advisor Workplace Analytics BUILDING EXPERIENCE Tenant Apps Employee Productivity, Comfort, Satisfaction Indoor Mapping, Location, Wayfinding AZURE SPHERE MICROSOFT GRAPH AZURE IOT EDGE OFFICE 365 AZURE IOT SERVICES WORKPLACE ANALYTICS AZURE DATA & ANALYTICS SERVICES AZURE VISUALIZATION & INTEGRATION SERVICES AZURE DIGITAL TWINS MIXED REALITY CORTANA AZURE ACTIVE DIRECTORY MICROSOFT TEAMS AZURE MAPS MICROSOFT DYNAMICS 365 WINDOWS COLLABORATION DISPLAYS MICROSOFT SURFACE HUB DIGITAL TWINS VOOR SMART BUILDINGS D I G I T A L T W I N S : D E W E R K I N G 2D / 3D (MAPS) DOCUMENTS, MANUALS, PICTURES LIVE DATA

10 Devices: RTOS, Linux, Windows, Android, ios AI - Cognitive Services Azure IoT Edge Secured MCU Edge Modules: Protocol Adaptation Functions Stream Analytics Machine Learning AI Secured OS Azure Sphere Cloud Security Bi-directional device-cloud Telemetry ingestion Command & Control Device Registry & Identity Device Provisioning Device Mgmt HTTP, AMQP, MQTT Azure IoT Hub Spatial intelligence graph o People, Space, Device Twins o Loadable Twin Object Models o User Defined Functions o Blob storage o Nested tenancy Role-based access & control AuthN/AuthZ via AAD Notifications & egress routing Azure Digital Twins Cold Analytics Find insights over historical data Hot Analytics Real-time monitoring Warm Analytics Time series data storage & analytics AzureML Azure Data Lake Analytics Azure Stream Analytics HDInsight Spark & Storm Azure Time Series Insights Manage View and manage solutions Power BI App Service Logic Apps Azure Maps Web Apps Business Integration Search Mobile Apps Connect to Business Processes Dynamics 365 Office 365 Flow THINGS INSIGHTS ACTIONS DIGITAL TWINS PLEK IN HET IOT LANDSCHAP W A T I S A Z U R E D I G I T A L T W I N S

11 < < D E M O > > B E S E N S E

12 DIGITAL TWINS INRICHTING

13 DIGITAL TWINS INRICHTING D I G I T A L T W I N S : D E W E R K I N G

14 DIGITAL TWINS INRICHTING D I G I T A L T W I N S : D E W E R K I N G

15 DIGITAL TWINS INRICHTING D I G I T A L T W I N S : D E W E R K I N G

16 <<DEMO>> GEBOUWINRICHTING

17 DIGITAL TWINS: VERWERKEN VAN DATA

18 Device Gateway Digital Twins Endpoints Processor Cold Storage DATA HET PLATFORM IN D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

19 Device Gateway Digital Twins Endpoints Processor Cold Storage Digital Twins Spatial Intelligence Graph Gateway IoT Hub Sensor Space Endpoints OUT-OF-THE-BOX FLO W D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

20 Device Gateway Digital Twins Endpoints Processor Cold Storage EventHub Event Grid Service Bus DeviceMessages (Alleen EventHub) TopologyOperation SpaceChange SensorChange UdfCustom ENDPOINTS D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

21 <<DEMO>> BEZETTING VAN SPACE

22 AU T O M AT I S E R E N VA N AC T I E S

23 SPACE RoleAssignment User Defined Function Computed value Telemetry USER DEFINED FUNCTIONS (UDF) D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

24 Temperature Matcher Sensortype == Temperature Space type van sensor == Venue User Defined Function Device manufacturer == Manufacturer MATCHERS (COMPLEX) D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

25 Temperature Matcher Sensortype == Temperature Space type van sensor == Venue User Defined Function Device manufacturer == Manufacturer MATCHERS (COMPLEX) D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

26 Device Gateway Digital Twins Endpoints Processor Cold Storage Digital Twins Spatial Intelligence Graph Gateway IoT Hub Sensor Space Matcher UDF Endpoints CUSTOM FLO W D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

27 < < D E M O > > C O 2 A L E RT

28 UDF FLO W D I G I T A L T W I N S : V E R W E R K E N V A N D A T A

29 P U B L I C P R E V I E W A A N G E K O N D I G D O P 2 4 S E P T E M B E R D E V E L O P E R T O E G A N G S I N D S 1 6 O K T O B E R G E N E R A L A V A I L A B I L I T Y A A N K O N D I G I N G O N B E K E N D, M E E S T A L 6 M A A N D E N - J A A R P U B L I C P R E V I E W F E E D B A C K V A N A F O N Z E K A N T F I L T E R I N G O P E G R E S S P O I N T S M E E R U D F S U P P O R T ( V S C O D E P L U G I N S, T Y P E S C R I P T ) C U S T O M O N T H O L O G I E S O P B A S I S V A N H A R D W A R E I D D A T A N A A R D I G I T A L T W I N S S T U R E N ROADMAP D I G I T A L T W I N S

30 Q&A