This PhD course is part of the thematic path "Technologies, Techniques and Methodologies for Sustainable Development" of the PhD programme in Urban and Regional Development. This PhD course is part of the thematic path "Techniques and Technologies for a Spatial-based Sustainable Development" of the PhD programme in Urban and Regional Development (URD). The continuous evolution of Internet of Things (IoT) technologies is evolving the concept of smart cities as well as the surrounding environments. From pervasive sensors, through computational nodes at the edge of the network to the cloud and final user applications, the data flow chain makes available to the user a very large and heterogeneous amount of data. IoT platforms are at the core of this chain, providing seamless access to data independently from the hardware devices and making possible the interoperability with other data sources (e.g. Geographic Information System and System Information Models). Despite the availability of IoT platform solutions either commercial and open-source, research is still very active to design and implement flexible, easy to use and efficient web-service oriented software infrastructures (i.e. middleware). After providing the main basic concepts of the Internet-of-Things (main communication paradigms, main development frameworks), this course will present the current IoT platform infrastructures starting from consolidated literature solutions up to the latest platforms envisioned by recent research projects. The main challenges and directions about future platform will be outlined, putting them in the context of real case studies. The course will be focused also on presenting innovative IoT platforms for energy distribution systems for spatial planning. Furthermore, the course will outline possible use of open-data and Volunteered Geographic Information (VGI) for spatial analytics in energy systems

python basics

Part 1: Software solutions for Internet-of-Things platforms 1. Introduction to the Internet of things 2. Introduction to communication paradigms a. request/response through HTTP REST Web Services b. publish/subscribe through MQTT 3. Software requirements to develop scalable IoT platforms 4. Design patterns to develop distributed software platforms (SOAP, Microservice) 5. Deployment paradigms in cloud systems (IaaS, PaaS, SaaS) 6. Example of software IoT platforms (LinkSmart, Seempubs, Dimmer, Flexmeter) 7. Services Life Cycle Part 2: Spatial Analytics in Smart Energy Systems 1. Introduction to spatial data and available web standards 2. Open-data and Volunteered Geographic Information (VGI) 3. IoT systems for environmental monitoring 4. State of the art solutions for PV planning 5. Innovation in photovoltaic planning tools 6. PV-in-grid: a co-simulation framework for renewable energy assessments 7. Agent Based Models for photovoltaic diffusion in cities 8. Load-Sim: using open-data to mimic energy consumption in cities based on citizens’ behaviours 9. State of the art solutions for Thermal Energy consumption in Buildings 10. Thermal energy signature for buildings 11. Mapping smart-metering-infrastructure data 12. Future challenges

On site

Oral presentation - Written report presentation

P.D.2-2 - May