Exploiting Open IoT Data from Smart Cities in the Future Internet Society

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Stephany Bailey
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1 Exploiting Open IoT Data from Smart Cities in the Future Internet Society Key words: IoT - Open data- Linked data -Smart tools - Big data- Services for Smart Cities -Smart citizens - IoT interoperability - Orchestration- Data analytics

2 Project Factsheet Project started: April 2016 Duration: 30 months Instrument: ERANET Smart Cities Consortium: 5 partners + 3 cities

3 Current State of the Art Massive number of urban smart devices Multiple Data gathered by cities/municipalities Lack of scalable infrastructure to manage density of data in urban smart devices Lack of valuable services for people and cities Citizens and developers need to know how to use, deploy & interoperate services Need to exploit & use aggregated open data from cities

Open data how to make it useful for citizens?

Predicting behaviours Opportunities for third

4 Open data how to make it useful for citizens? SMART-FI offers a: An open IoT platform Engaging with city sensors Analysis of open data Personalized recommendation for citizens Predicting behaviours Opportunities for third parties to offer services Implementation of services in cities & municipalities

5 Objectives Homogenization of heterogeneous open data and data services Analysis and aggregation of data analytics services for predictions & recommendations Development of methodologies to deploy and interoperate services Alignment and contribution to FIWARE platform Suggest processes and motivate implementation of services in cities and municipalities Promote FIWARE as FIWARE foundation members

6 Expected outcomes The SMART-FI open source solution based on a set of facilities (homogeneous open data, analytics, service interoperability) Embrace the smart city paradigm by providing useful services to citizens Evaluate the SMART-FI feasibility on real smart city scenarios (three pilots) Enrich the FIWARE ecosystem and support the FIWARE community

7 Main technologies and functionalities (I) Use smart cities open data and data services on top of FIWARE Analysis of extension/improvement of functionalities from FIWARE GE Planning of publishing results in FIWARE Lab Store Integrate city sensors with FIWARE IoT platform & consumption via NGSI-API Linked data technologies and semantic data Ontologies to describe urban environment and data Generic means for data semantic homogenization Techniques for semantic categorization of data, metadata and structure Exploit aggregated open data from smart cities Prepare data for processing, trend analysis, ranking, filtering & aggregation

8 Main technologies and functionalities (II) Big data analytics techniques for predictions and recommendations Big data analytics techniques following data processing, mining, filtering & aggregation methods Tools to allow analytics functions for expected analytics quality of results for prediction & recommendations Create elastic micro services acting as data analytics services consumed by citizens Orchestration & adaptation methods to deploy & interoperate services Model-based techniques for interoperability among apps running in an isolated way based on orchestration & adaptation methodologies Data exploitation in multi-domains with different purposes Services and data orchestrated and adapted by solving imcompatibilities Analise the usage of ESB services using a mediator between services

9 Expected results & the use cases Smart city parading by providing useful services to citizens with SMART-FI s open source solution Test SMART-FI feasibility on real smart city scenarios Enrich the FIWARE ecosystem/community The three cities: Malaga, Spain (Transport system) Malatya, Turkey (Government services) Karlshamn, Sweden (Urban Energy and Home automation)

Motivation Objective Malaga Pilot motivation, objective and scope Contribute to Málaga Smart City strategy ATOS-FIWARE reference in Malaga Promote ATOS one of the FIWARE foundation members Set up a

11 Motivation Objective Malaga Pilot motivation, objective and scope Contribute to Málaga Smart City strategy ATOS-FIWARE reference in Malaga Promote ATOS one of the FIWARE foundation members Set up a FIWARE pilot in Málaga city by using data from city sensors and providing added value services to both local authorities, as well as public transport operators that revert in benefits for citizens Scope Use data sources and sensors One or two services to be developed

Malatya Pilot motivation, objective and scope Motivation Contribute to Malayta s increase in citizen engagement Foster citizen participation => decision making process Objective Better public

12 Malatya Pilot motivation, objective and scope Motivation Contribute to Malayta s increase in citizen engagement Foster citizen participation => decision making process Objective Better public services Strengthening the city economic power Foster development of new & innovation services and products to citizens Scope Better understanding of citizens needs & priorities / provide high quality, Transparent and responsive services for citizens and an opportunity for developers to develop innovative application

buildings Transportation Public transport use case Company Blekingetrafiken Energy use case

13 Karlshamn Two Pilots motivation, objectives and scope Motivation Contribute to Karlshamn open up data strategy Contribute to improve public services Foster energy savings in buildings Transportation Public transport use case Company Blekingetrafiken Energy use case Based on data /local installation of wireless system For advanced building automation on site at NetPort

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