Cahill_Ben_Value_Through_LDT.pptx
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The DOLL Living Lab in Vienna focuses on developing smart city technologies and fosters collaboration among partners through co-creation and integration processes. Key initiatives include the establishment of a digital city model and addressing challenges in data integration to enhance urban management and sustainability. The project aims to standardize practices, leverage AI, and improve engagement between public and private sectors in implementing smart city solutions.
![Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or
g
The DOLL Data Landscape ”Problem”
= Key Smart City Challenges (at a smaller scale)
• We need to perform 40+ integrations
• Every data source is somehow different
• An ”object” is rarely described by a single
sensor
• OR it can be better represented across sensor
by combining and correlating data
• Will camera-based sensors be able to produce
Smart Data compliant models this year?
• Will GDPR-compliant Re-identification be
realistic in the next 5 years?
• Will hardware vendors align with standards of
their own free will?
• Will we have dependable, agnostic, automated
device-to-standard-data-model transformers
tomorrow?
• Probably not!
• We have to work with what we have!
Temp = 17.1
[16.99, 321, 12, 14, 1005]
Personbil_o_d =
[N,E]
Personbil = 5
Lastbil = 12
Fodgænger = 4
Dwelling =
TRUE
Near_miss (timestamp,
GPS, type)
NOx=12.2
CO = 0.2
CO2 = 1325
Motion =
FALSE
Motion =
FALSE
Motion = TRUE](https://image.slidesharecdn.com/2-fgs23cahillbvaluethroughldt-230616140033-79550b37/85/Cahill_Ben_Value_Through_LDT-pptx-6-320.jpg)
Cahill_Ben_Value_Through_LDT.pptx
- 1. Vienna, Austria 12-13 June, 2023 #FIWARESummit From Data to Value OPEN SOURCE OPEN STANDARDS OPEN COMMUNITY DOLL Living Lab Toward a FIWARE-Enabled Collaborative Local Digital Twin
- 2. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g DOLL Living Lab – A European Testing and Experimentation Facility Established 2014 – Outdoor lighting, change to LED, dynamic & intelligent lighting 2017 – Expand scope to IoT 2019-22 – Europe’s first Intelligent Traffic Systems Living Lab 2023-> Citcom.ai TEF Nordic Supernode, EU Digital Innovation Hub, SMC NetZero ++ 2023-2025 – DOLL Digital City Model
- 3. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g DOLL - Smart City Technology and Data Partners • 13km of roads and cycle paths • AADT – 3 - 12,000 • 6 Smart Intersections • IoT Devices, Network • Mobile scanning of infrastructure • 400+ Smart Lighting • 3rd–party integrations • 75+ partners, 50+ use-cases • 50+ delegation visits per year
- 4. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g How We Work – Co-Creation and Collaboration Co-creation model • Physical Partnerships • Data Partnerships • Digital Partnerships • 3 year contract per partner • Funding from National bodies • Collaborative University projects DOLL AGGREGATED PARTNER DATA CITIES, UT. PROVIDER, OPEN DATA DOLL Datalayer Applications Simulations Demonstration Insight Generation DATA INGRESS Partner Contracts Contextual Information Onboarded STORAGE & STRUCTURING KMD FIWARE DATA PROVISIONING DOLL API App. Developers New Use-Cases -> New Partners -> Better Demonstration Capability New device installations New data combinations Hackathon/Co-Dev Excercises
- 5. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The Digital City Model – A Local Digital Twin Purpose • Unify cross-domain insights through standardisation • Provide examples of best- and next-practices i LDT development • Test and refine methodologies for business integration • Develop PoC applications that address the needs of cities • Demonstrate the potential of public/private Smart City partnerships • Streetlighting • Move to LED • To Smart Lighting Traditional light management Intelligent light management Dynamic light management
- 6. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The DOLL Data Landscape ”Problem” = Key Smart City Challenges (at a smaller scale) • We need to perform 40+ integrations • Every data source is somehow different • An ”object” is rarely described by a single sensor • OR it can be better represented across sensor by combining and correlating data • Will camera-based sensors be able to produce Smart Data compliant models this year? • Will GDPR-compliant Re-identification be realistic in the next 5 years? • Will hardware vendors align with standards of their own free will? • Will we have dependable, agnostic, automated device-to-standard-data-model transformers tomorrow? • Probably not! • We have to work with what we have! Temp = 17.1 [16.99, 321, 12, 14, 1005] Personbil_o_d = [N,E] Personbil = 5 Lastbil = 12 Fodgænger = 4 Dwelling = TRUE Near_miss (timestamp, GPS, type) NOx=12.2 CO = 0.2 CO2 = 1325 Motion = FALSE Motion = FALSE Motion = TRUE
- 7. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The Digital City Model – Development Effort Each partner has own tech stack • Data models • Transfer protocols • Security • Documentation • Reporting Frequency • Fixed / Event-driven A Sensor may provide a ”partial truth” Data Collection Access Control Partner Data Partner Data DOLL Metadata Partner API Partner Device CMS API Structured Data Storage DOLL API App App App App App Inbound Interface Data Structuring & Storage Security Outbound Interface Applications 10% 70% 5% 5% 10% ??%
- 8. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The Digital City Model – Integration Process Integration Process • Identify partner • Data-sharing agreement • Knowledge gathering • Technical Integration • Identify 3rd party data • Model Mapping • Expose in Application Kunack AirPro2 – high-end environmental station • Rich data – also composite dimensions (AQI, dew point etc.) • 87 total datapoints • Mature, well documented API • Rich operational data layer • Cooperative partner - willingness • Technical and strategic input Key person at partner company Onboarding document Web Interface 3rd Party Data Integration Process (6-12 hours)
- 9. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The Digital City Model – Integration Challenges Key Challenges in Integrations • Understanding Device Parameters – Environmental Domain Knowledge • Seperating Device Operational and Measurement parameters • Manual Data Mapping by Developers • Availibility of Partner Tech Resources • Quality of API/Device documentation • Event-driven data generation • Time and money Kunack AirPro2 – high-end environmental station Rich data – also composite dimensions (AQI, dew point etc.) 87 total datapoints Mature, well documented API Rich operational data layer Cooperative partner - willingness Technical and strategic input Key person at partner company Onboarding document Web Interface 3rd Party Data Integration Process (6-12 hours)
- 10. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g How FIWARE Enables a Better Integration Process Non-FIWARE cert. • Manual • Must be validated • Requires domain expert Key person at partner company Onboarding document Web Interface 3rd Party Data Integration Process (6-12 hours + validation) Key person at partner company Onboarding document Web Interface 3rd Party Data Integration Process (2-4 hours) FIWARE cert. • Semi-automated • “Prevalidated” • Requires little domain knowledge
- 11. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The Application Layer - Today Building demonstrators and PoCs • Where/Who is producing emissions? • Environment = f(Production activity, Traffic) • E.g. Vehicles, OSM map, Buildings, AirQualityObserved • + Wind speed & Direction (Open Data) • + Power consumption of local factories (private data) • How should be use our road maintenence budget? • Log road damage from CV scanning(type, severity, location etc.) • Build model from logs and correlate with 3rd party data • Modulation around freezing point, rain, traffic activity (of type), road construction and age, time of last intervention • Build predictive model for next year’s budget based on predicted road condition • Validate with additional scanning
- 12. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g The Application Layer – Municipalities of Tommorrow Our experience today • Cities don’t have a budget for data exploration • Municipal systems are numerous (350+ in DK) and often not interoperable • Employees lack domain knowledge – domain experts do not have ”boots on the ground” experience with the city’s challenges • Scaling from one region to another is very difficult due to varying infrastructure, expertise, ”target applications”and tech stacks • Difficult to explain new concepts verbally/statically • Hard to predict cost/efforts for smart city tech deployment Our hope for the future • Standardised models negate the data cleaning and preprocessing stages thereby reducing costs significantly • Automated middleware components that can translate between formats, models, systems. • Domain-specific knowledge not required to integrate. • Ease-of-use in toolset allows employees to generate insights based on their own practical knowledge. • Well-documented compiance strategies freely availible, good examples can be examined before spending • We can quickly assemble a PoC to demonstrate a concept for decision-makers • Metadata layer can be used to calculate ROI and CapEx/OpEx in simulated environment
- 13. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.or g FIWARE x DOLL – Future Perspective • Expose FIWARE-compliant device owners as good examples for fast, robust integrations • Encourage hardware-providing partners to consider FIWARE certification • Work with data-transformer-developing partner to partially automate integration • Work with AI partner to use e.g. Knowledge Graphs to contextualise new data from ”generic vision sensors” • Use AI modules and components to leverage modern computational methods without owning specific tech resources e.g. regression, realtime analytics etc. • Lowering the barrier to entry for Smart City AI • Ensuring Quality, Robustness and Reuseability • Empowering decision-makers • Strengthening business offerings • One step at a time https://doll-livinglab.com/ https://www.linkedin.com/company/doll-living-lab/
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- 15. Vienna, Austria 12-13 June, 2023 #FIWARESummit Thanks!