snap4city platform: from cloud to data analytics as …...smart city solutions dialogue, stuttgart,...

Snap4City, Antwerp, 21st August 2019 1

LIVING LAB

Snap4City platform: from cloud to data analytics as a Living Lab for city stakeholders

Nicola Mitolo, Snap4City – DISIT Lab


Title

Nicola Mitolo, [email protected]://www.Km4City.org ‐ https://www.disit.org

https://www.snap4City.orgPowered by

Snap4City platform:From cloud to data analytics as a Living Lab for city stakeholders

Living Lab Flexibility• Multiple modalities to perform the same activities

• Tuned for Beginners and Skilled people• Visual interface and programming tools• Resources and artefacts sharing for learn acceleration and co‐working

• Open Living and co‐working Portal: https://www.Snap4City.org

SMART CITY SOLUTIONS DIALOGUE, Stuttgart, 18 September 2019 3

Snap4City Satisfies all Requirements of ENOLLSelect4Cities and EIP‐SCC


architettura

BIG DATA ANALYTICS: AI, MACHINE LEARNING

Standards and Interoperability


Compliant with: AMQP, COAP, MQTT, OneM2M, HTTP, HTTPS, Rest Call, SMTP, TCP, UDP, NGSI, LoraWan, TheThingsNetwork, SigFOX, DATEX II, SOAP, WSDL, Twitter, FaceBook, Telegram, SMS, OLAP, MySQL, Mongo, HBASE, SOLR, SPARQL, EMAIL, FTP, FTPS, WebSocket, WebSocket Secure, ModBUS, OPC, RS485, WFS, WMS, ODBC, JDBC, Elastic Search, Phoenix, XML, JSON, GeoJSON, Enfuser FMI, Android, Raspberry Pi, Local File System, ESP32, Libelium, IBIMET, OBD2, etc.


Knowledge baseSemantic reasoners

Data SourcesPULL Data

Data Sources, Brokers, External ServicesData

Driven, Real Time

Data Ingestion, aggregation, regularization,

reconcile

ETL, NIFI, DISCES

Big Data ClusterHDFS, Hbase, Phoenix Search and

Query, Smart City APIFacet, semantic

search Indexing and aggregatingElastic search

Data AnalyticsR, Tensor Flow, Python, MapReduce, …

Visual AnalyticsSpecial dash/tools

RenderingActing, Widgets, MicroApps

User interface,Interactive Dashboard,Drill down,

maps,heatmaps

Inform, announce, Act!, warning, alarms, What‐IF, ..

IOT ApplicationsNode‐RED + Snap4City MicroSrvs

The Lambda Architecture for Smart Cities


Sentient SolutionsDashboards with IOT Applications for enforcing data driven smart and intelligence

Dashboards and AppsIOT and City data World IOT Applications

My IOT Devices Big Data Analytics, Artificial Intelligence

SMART CITY SOLUTIONS DIALOGUE, Stuttgart, 18 September 2019

City Dashboard + IOT AppControl Room OperatorWould like to:‐ Monitor traffic flow,

Environment, Car parking, Cycling, First aid, temp., …

‐ Act and monitor Dynamic Plates

‐ Act and monitor red lights

Driver, PolicemanWould like to:‐ Monitor traffic, Parking,

env., speed limit, …‐ Act and monitor red lights


Integrated Urban Platform• Produce value from data supporting Living lab

– Stimulate virtuous behavior, influence City Users!– Put in action CITY Strategies

• Data Exploitation performing– predictions, reasoning, business intelligence, ..– users behavior analysis, decision support system, ..– Control Room, Real Time Monitoring tools, ….

• Aggregate & integrate data – Multiple protocols from urban operators, ....– open data, IOT, sensors, internet of everything, cloud, mobile devices, Wi‐Fi, social media, ...

Snap4City, February 2019 10

DASHBOARDS: FROM CITY DASHBOARD

TO APPLICATIONS

Dashboards List


12SMART CITY SOLUTIONS DIALOGUE, Stuttgart, 18 September 2019

https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MjE5MA==#

Snap4City, Antwerp, 21st August 2019 13SMART CITY SOLUTIONS DIALOGUE, Stuttgart, 18 September 2019

https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MTQwNg==

Snap4City, Antwerp, 21st August 2019 14SMART CITY SOLUTIONS DIALOGUE, Stuttgart, 18 September 2019

https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MTQwNw==

Snap4City, February 2019 15

FORGING & MANAGINGFLEXIBLE MOBILE APPS, Web Apps and MicroApplications

Snap4City (C), June 2019 16

Mobile App Features• Discovery POI/services• Search: POI, streets, suggestions• Mobility and transport: Pub/priv, routing, car position,

time table, park, sharing, tickets, etc.• Environment and Weather: values, sensors, heatmaps,

notifications• Assistant, Forum, Developer Assistant• Goal Experiences (Engagement)• Personal data, activities, POI, tracking, IOT App,

Dashboards, etc.• Events: entertainment, critical• Sharing position and trajectories with friends• Monitoring city and personal Dashboards• Personalized for Operators and Developers full control of

their applications on cloud


DATA ANALYTICS,Big Data Science



City official

ICT official

Developer

Citizen, tourist, visitor

Business owner

City officials

City officials Domain experts

City officials City developers

Third party developers

Citizen

Citizens with respiratory problems

Tourists

Business owners

Mobile

MIcroApplication

Tool, via Portal (ICT Developers)

Dashboards

Main Data Sources

Discovery near to me X X X X X X X X X X X X X X X POI, OSMDiscovery along a path X X X X X X X X X X X X POI, OSMDiscovery in an area, shape X X X X x X X X X X X X x X X POI, OSMbrowsing Public Transport X X X X x X X X X X X X x X X OSM, GTFSFull Text search X X X X X X X X X X X X X X POI, OSMRouting: pedestrian X x X X X X X x X X OSMRouting: pedestrian quite X x X X X X X x X X OSMRouting: private vehicles X X X X X X X X X X X OSMRouting: Multimodal Public Transport X X X X X X X X OSM, GTFSheatmaps: weather (Temp, Humidity) X X X X X X X X X X X X X Sensors data, OSMheatmaps: environmental variables, PM10, PM2.5, NO2, EAQI X X X X X X X X X X X X X Sensors data, OSMheatmaps: environmental variables, Noise X X X X X X X X X Sensors data, OSMheatmaps: safe on bike (Antwerp) X X X X X X Spec. Portalheatmaps: Enfuser prediction, PM10, PM2.5, AQI X X X X X X X X X Enfuser dataheatmaps piking values any place X X X X X X X X X Computed Heatmpsheatmaps: GRAL prediction, PM10 X X X X X X X X X OSM, Traffic, WeatherComparsison: Enfuser, Gral, Real Time X X X Enfuser, Sensors, GRALSensors Data Time Trends, & drill down X X X X X X X X X X Sensors data, OSMWeather Forecast X X X X X X X X X X X X X Forecast ServiceOrigin Destination Matrices X X X X X X X X X X Snap4City Mobile AppTypical trajectories X X X X X X X X X X X X Snap4City Mobile AppHot Area in the city X X X X X X X X X X X X X X X X Snap4City Mobile AppHot Places in Smart Zone X X X X X X X X Snap4City PAXcountersServices Suggestions on mobiles X X X X X X Snap4City Mobile AppAlerts on critical cases: several variables X X X X X X X X X Sensors data, OSMThe most used services X X X X X X X X X Snap4City Mobile AppTwitter Trends Daily X X X X X X X X X X X Twitter VigilanceThe auditing of user and living lab X X X X Snap4City PortalSelf assessment X X X X X X X X X X X X X X Snap4City Portal

Antwerp Helsinki Where

PredictingModels for Administrators & City Users


• Aiming at improving – quality of service, distributing workload – early warning

• Data Analytics: Machine Learning, Natural Language Processing, Sentiment Analysis, …

• Parking Prediction: Short (next 15 min, 30 Min) and Mid Term (1 week) Predicting at EXPO2015

Early Warning Water Bomb

Early Warning Hot in Tuscany

Predicting City Users on Areas

20

12 parking areas in Florence

User Behaviour Analysis


• Monitoring movements by traffic flow sensors– Spires and virtual spires (cameras)

• Monitoring movements from Mobile Cells– Unsuitable for precise tracking and OD production

• Monitoring movements from Wi‐Fi• Monitoring movements and much more from mobile Apps

21


https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MTc2MQ==https://www.snap4city.org/dashboardSmartCity/view/index.php?iddasboard=MTc2MQ==


http://firenzetraffic.km4city.org/newSensors.html

real time

Snap4City (C), June 2019

Prediction and Identification of Anomalies

Cluster confidence

AP average and confidence

Actual AP trend for today

AP prediction for the next time slot in the day on the basis of past weeks

Guessing number of users of Wi‐Fi Access Points

24

Predictive precision of the 95%


Data Analytics: Heatmaps• Over the Gaussian Heatmaps• Calibrated heatmaps on the basis of Interpolated data for:– From 200x200 to 4x4 mt– PM10, PM2.5, SO2, NO2, Noise, NO, O3, Enfuser, GRAL,….– Any programmed Color map– Animations over H24– Picking values in any place, values on their position.– On Web and Mobile App


Environmental Data Predictions: GRAL• GRAL predictions: PM10, NOX, ….

– Comparison wrt real time values in actual value of Sensors

– Graz Lagrangian Model. • GRAL model takes into account:

– pollution sources (for example the vehicles, their distribution on the streets, the about of pollution they produce according to their distribution over time and space, etc.),

– structure of the city (streets and shape 3D of the buildings),

– weather forecast (wind intensity and direction), etc.

• GRAL can be applied on NOX, PM10, PM2.5, … or any other particles

SNAP4CITY LIVING LABFOR COLLABORATIVE WORK



Your Level

SLIDES

NewsFlyer

Exercises

Full Search

All Tools

Personalized Suggestions


Main Projects/Pilots, 2019• Sii‐Mobility mobility and transport• REPLICATE Control Room: ICT, Energy, IOT• RESOLUTE Resilience, ICT, Big Data• GHOST strategies, smart city• TRAFAIR environment & transport• MOSAIC mobility and transport• WEEE Life waste, environment• Smart Garda Lake Smart city, environment• 5G Industry 4.0 vs SmartCity, water management• Green Impact Industry 4.0, chemical plant• PISA Agreement data aggregation, smart city• Lonato City data aggregator, smart reasoning• SmartBed health monitoring

Green Impact


Be smart in a SNAP!

Nicola Mitolo, [email protected]://www.Km4City.org ‐ https://www.disit.org

snap4city platform: from cloud to data analytics as …...smart city solutions dialogue, stuttgart,...

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