Tinus Kanters, Projectleader, Livinglab Stratumseind Ditss/City of - PowerPoint PPT Presentation

August 2017 Tinus Kanters, Projectleader, Livinglab Stratumseind Ditss/City of Eindhoven/Brainport Eindhoven

BRAINPORT NEXT GENERATION • HEALTH • MOBILITY • ENERGY • FOOD • SAFETY

Eindhoven, Smartest Region of the World, 2011  -Most patented inventions per 10.000 inhabitants of the world, Eindhoven has 22,6 for every 10.000, after that San Diego with 8,95 and San Fransisco/Silicon Valley with 7,57  -Lot of inventions, like Television, Video, CD, Blue ray etc  ASML (chip making machines) NXP (micro-processors), Philips Healthcare, Philips Lighting, High Tech Campus, Technical University Eindhoven, Automotive Campus etc.  225.000 inhabitants for the City, about 800.000 for the Brainport Area, about 15.000 expats from 85 countries working in the high-tech  The Netherlands climbs 3 places and is back in the top 5 knowledge economies worldwide 2016 Global Competitiveness Index – World Economic Forum

CO-OPERATION: Clusters and networks

Smart City: Desired societal impact A vibrant city A sustainable city A vibrant city that is enjoyable to live in with all the A sustainable city where the environment is respected activities, facilities and urban and preserved without environment and where economic situation is good if compromising the quality of life of the citizens and the not thriving. economic climate. Active & Good Strong social Caring for the Sustainable healthy economic Social wealth networks environment economy citizens climate

Eindhoven Smart Light Tender Procurement of continuous innovation in lighting • technology to improve quality of life in the city • multipurpose smart lighting grid provided as public utility • the city as a living lab to explore new solutions Intelligent Lighting Institute / solution partner of the Intelligent Lighting Institute at TU/e

Modular data harvesting  Modular data harvesting will give us the opportunity to (re)use data for multi purposes.  Examples: temperature/weather conditions, airpressure, noice, air quality, number of people, people density/movement, geo-info etc.  Datasets have to be anonymized.  We have to build a modular way for having datasets available

Stratumseind  The pubstreet: ‘’Stratumseind’’ is about 300 meters long  50 pubs near the centre of the City of Eindhoven  About 20.000 (young) vistors weekly  800 incidents a year, half of them agression- ralated. (Police figures)

Living Lab Stratumseind  Living Lab, Instrument to measure the influance on behavior we create (light, fragrance, design, a.k.a “nudging”).  Living lab, as a testfacility for new sensors, dataharvesting, privacy, systemarchitecture.  Smart sensors, smart interfaces, smart actors, smart lights, smart data, smart design, gaming.  Part of the Stratumseind 2.0 & Smart City project.

The Living Lab…..on the Pubstreet itself …

Temp. 3d What we allready gather/collect: rain/sun Car/bike Sound wind parking info stress. Blue- Residents, Tooth, Mac others etc Cell- (Open) phone Data Not realtime ISS Video Waste/ Open Remote people energy count Breweries/ Light, owners Lux & Kelvin Social Events sensors calender Social Police/ ( mediawatching) sensors health facts (interactive)

Living Lab Stratumseind Citizens, visitors, Police, City Guards, Entrepeneurs, Civil Servants, Businesses, LivingLab researchers (People) National De- Stratumse DITSS CityPulse Alert escalate TRILLION poort Training Technical, Project: Fiware System Project: Project: and Demo Fieldlabs User implement Community (New) Community Privacy centre experience (research Predictive ation and Building/ Alertsystem Light Policing Ethics Serious , design Policing data- project) (Serious) in case of scenarios For Laws Gaming/ and data & architectur gaming, fun, emergency for Citizens Incident- analyses Incident social e (National community and LEA’s and crises issues Prediction commitmen Safety well being training t Authorities ) Livinglab LivingLab fundamentals: (Structural sensors, infrastructure, social network, actors, monitoring, bigdata storage, 3D models, organization and people, etc, etc services)

Citypulse project

After 25 seconds ….

DE-ESCALATE  Defusing escalating behaviour through the use of interactive light scenarios Intelligent Lighting Institute

Influance of colour

E LLIOT ET AL . (2010) JEP:G EN

Lightgear and sound sensors

End of event Clean-up Event (cars) start

Sensors….

Citybeacon: data harvesting www.citybeacon.info

People Count

Business intelligence

Origin of visitors on Kingsdayfestival Herkomst Percentage Eindhoven Overig 27,05% Eindhoven Centrum 8,95% Helmond 3,76% Veldhoven 3,10% Tilburg Overig 2,77% Oss 2,59% Best 2,45% Valkenswaard 1,84% Geldrop 1,82% 's-Hertogenbosch 1,77% Deurne 1,74% Venlo Overig 1,67% Maastricht Overig 1,44% Nuenen 1,36% Waalre 1,26% Heerlen Overig 1,22% Nijmegen 1,20% Uden 1,14% Son en Breugel 1,04% Boxtel 1,02% Heesch 1,01% Veghel 0,94% Venray 0,88% Gemert e.o. 0,87% Mierlo 0,86% Horst e.o. 0,85% Eersel e.o. 0,85% Someren 0,81% Gemiddelde reisafstand Asten 0,80% Weert Overig 0,80% Breda Overig 0,78% Koningsnacht 25 km Rotterdam Overig 0,76% Vught 0,76% Gemiddeld April 12 km Oirschot 0,76% Utrecht Overig 0,74%

Police facts

Integration sensorsystems • All Sensors and info alligned with open standards ISS • Analyses of the data together with incoming sensoring partners Open source/data (such as Atos, the De-Escalate project with TUe/ILI, Fontys University ICT/Lifestyle and Automatic Proposed Response Human decission ICT/Gaming and ICT/Datavisualisation, Response Based on Open Remote Based on reading Tilburg University/Tilt, Geonovum, OpenRemote Human decission sensors Device Amsterdam University, ViNotion, Sorama, Munisence, Icen, Police-academy, Philips, LuxLab and Strijp-s/Light-s) Automated Actor (Local device/ Selected Actors, Trillion? Selected Actors Lamp post )

Smart City Platform- Fiware architecture

Data library list, incl: “Sound” Data “ quality ” (list) Data/sensor xyz locationlist, xyz Algoritm library list processing “Bang” Feedback Feedback “ Any ” Cityguards Police Tailor-made Context City context context context context + CCTV brokers/event broker broker broker broker processors Police Dashboards/ Event OC report: BOA common operational dashboard robbery picture Police Actuators, human or on the device/machine + list spot

1 Situatie / toestand 2 Niet pluis? Wat is het? > Feiten Prioriteit? Situational awareness Redelijk Data 3 Gedeeld vermoeden vermoeden Opbouw ahv ‘zacht + hard’ Intentatief ‘Digitaal Plaats Delict’ Ernstige Grote mate van bezwaren waarschijnlijkheid Opschakelen 4 Actie

Smart Society IoT Charter 0.1 2 3 4 1 Embrace Share Open data Privacy first open standards where possible & interfaces 5 6 7 Support Maintain Accept social modularity security responsibility

Spelregels in werking* De steden Amsterdam, Eindhoven, Tilburg, Nijmegen en straks ook Breda, Helmond, “s Hertodenbosch …  Passen eigen eisen en voorwaarden aan (bv. aanbestedingen of subsidies)  Opstellen privaatrechtelijke overeenkomsten  Verspreiden als richtlijnen voor zelfstandige partijen  Werken aan gezamenlijke initiatieven, zoals “Digitale APV” & een landelijke sensorenregister Dezelfde vragen en dillema’s zijn voor alle Nederlandse steden en (EU) landen actueel! * Brief wethouders Ollongren (Amsterdam) en Depla (Eindhoven), februari 2017

Informing people, Signing:

Films….  2015-2_citypulse_vinotion_720p.mp4  Sorama_SoundCam_test_LivingLabStratumseind_16112015_v0p6.w mv  ..\Stratumseind Intelligent Street Lighting DEMO.mp4  video_Kennedylaan_3_makemodel_LQ.avi  ..\Good.mp4  Real-Time sensor data in PointCloud using Arena4D.mp4

s Kanters, may 2017 Thankyou !