HUMAN SCIENCE

There is no science for the citizen, or participative science, without a proper interface between scientific contents, methods and practices that are, sui generis, out of the common people’s reach, and citizens that want to know and understand complex issues out of curiosity, awareness or green activism.

Education and pedagogy address this problem especially for the Youth in schools and college, and with adults with general information through media or more specific actions following people’s commitments (seminars, animations, etc.), but the use of Internet through communication facilities (communities on social networks and websites or platforms) has a greater impact on both. The SMILE solution suggests to fill the gap between science, institutions and citizens by involving each individual in the process of collecting, analyzing, and monitoring environmental pollution data. At the level of data processing and sharing, the software breakthrough as a tool of citizen empowerment consists of the setting up of a real-time pollution monitoring platform designed to be the Center of a green community managed in Living Labs in each participating city, for the use not only of researchers or official bodies, but also of private economic players and citizens. This implies data collection (interface between the "connected object" side and the "platform" side) using the classic telephone-to-server data transfer protocol -> data (3G/4G/EDGE) + TCP/IP.- analysis and processing of raw data (time, location, type of measurement, type of pollutant, correction of calibration variations, comparison with other data, etc.) ;- the translation of this data into a readable and ergonomic representation (mapping of measurements, graphic representation of pollutant types, representation of changes over time, etc.) through a high-end Cyber-Physical System to transcribe the dynamics of mobile sensors measures, and simulate scenarios through AI;- the citizen- oriented valuation of the data (interpretative tools, reference documents, collaborative editor, community management in a Living Lab with animations, seminars, pedagogical resources);

These are the following underlying concepts used in Digital Twin applications:

  • IDT
    Numerical replica of the smart objects existing in physical & virtual worlds and represented in real time with SW and databases (DB). Our DT solution provides several AI, Big Data and optimization methods that can collect & process all available data to monitor, control, and optimize the processes in place at these big systems of systems. An Intelligent City Digital Twin (ICDT) quantitively represents & shares the results of all city processes with stakeholders using major international standards like ISO37120, etc.

  • CPS Model
    It is a core component of the ICDT that allows end-users visualizing these complex systems and understanding the underlying hierarchy of smart objects that interact to enable the target system operations (e.g., running RC services). The model is open, customizable and provides comprehensive and didactic tools.

  • Data sources
    Provide the ICDT with measurements of the processes running at each smart object (e.g., IoT devices, sensors, actuators, automated city systems, web services). Citizens are a special type of these smart objects who can receive and provide data and command via web/mobile apps or interact with end- users via user interfaces (e.g., dashboards, reports, widgets, voice conversations).

  • Each object in the ICDT CPS model is Intelligent (i.e., has own AI/ML capacities) and can have its own data sources (sensors, IoT, links to 3rd party systems), indicators, and the ability to interact with others to enable target system operations (e.g., building, transportation facility, factory, etc.). The objects can be people, organizations, other assets such as buildings and cars, products, services, etc.

  • ICDTs can use any available urban connectivity network (cable, 4G/5G, WIFI, Lora, etc.) to communicate with its city infrastructure objects and citizens. It runs on the Smart City Monitor platform deployed in the cloud or at the edge microdata center in the municipality.

This part is addressed in WP4 for software and implementation, using WP 2 and 3 results, WP5 for implementation using WP1, and WP6 for feedback and iterative testing of the CPS.

A CPS schematic