Periodic Reporting for period 2 - ENTROPY (DESIGN OF AN INNOVATIVE ENERGY-AWARE IT ECOSYSTEM FOR MOTIVATING BEHAVIOURAL CHANGES TOWARDS THE ADOPTION OF ENERGY EFFICIENT LIFESTYLES)
Berichtszeitraum: 2017-03-01 bis 2018-11-30
We argue that recent innovations in
- the Internet of Things (IoT) research and Sensor Networks technologies, enhanced by state-of-the-art Opportunistic and Autonomous Computing principles towards the realization of smart, reliable, energy efficient and self-aware Internet-of-Things infrastructures, can support the development and deployment of an extensible, scalable architecture that will facilitate the real-time or almost real-time monitoring of the energy consumption, the environmental impact and footprint of the daily activities of citizens and the overall footprint of buildings;
- the evolvement of Mobile Crowd Sensing mechanisms for soliciting feedback from a large group of people, acquiring knowledge from a set of devices and social networks feeds, permit to involve citizens to both participate and use the mobile crowd sensing applications;
- the big and sensor data streams aggregation and analytics technologies, empowered by Linked Data technologies and lightweight semantic models, can enable the typical representation and integration of energy consumption data and their environmental impact parameters along the daily activities of citizens and in correlation with their behavioural profile and lifestyle;
- the design of Lifestyle Recommenders for generating and providing suggestions for energy efficient lifestyles, can support gradual behavioural changes of citizens and their engagement on every-day environmental friendly activities;
- the Gamification techniques for describing the process and outcome where the fundamental building blocks of games are introduced in situations (and contexts), permit their transformation into game-like experiences for the citizens;
- the development of Serious Games that combine the digital and the physical worlds, stimulate in this way collaboration and enforce the achievement of sustainable results through the direct engagement of citizens; and
- the design of Cleanweb solutions by exploiting the revolutionary growth in mobile, social, sensors, processing power, big data analytics, and other information technologies is creating powerful new opportunities to address the world's critical resource challenges, leading to more efficient energy use, accelerating the adoption of clean technologies and spreading more sustainable behaviours globally.
As was mentioned in the previous report (M1-M18) the main achievement was the definition of the architecture and platform based on a flexible structure providing a solution to the four main pillars mentioned previously. This was achieved as results of the work of WP1, WP2 and WP3 and the initial integration within WP4 of the proposed approaches for IoT integration, data modeling and semantic descriptions over a FIWARE based platform extended with analytics and interoperable with a personalized app and a serious game solution. Once the project has developed the infrastructure based on the IT platform and the pilots with sensors and actuators needed to prepare a campaign with end users to validate the approach and the technologies being defined.
In the second half of the project (M19-M39) the main efforts have been driven to accomplish with the WP4 and WP5 tasks. As a result, the Entropy Framework has been developed, integrated and tested, jointly with the Energy Awareness and Treasure Hunt apps. All together has been cyclically tested and refined in consecutive instances of the Entropy experiment, also called Entropy campaigns. In parallel, an evaluation process has been performed, generating as a result a set of useful lessons learnt. A study of the socioeconomic impact of the proposed solution has also been carried out in the last months.
The ENTROPY IT ecosystem conceptual architecture is consisted of four layers, each one of them with a discrete role and a set of assigned functionalities: the IoT Communications Layer, the Data Modeling and Fusion Layer, the Algorithmic Design and Deployment Layer and the Services and Applications’ Provision Layer. (See figure)