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Data Analytics Platform for the Optimization of Waste Management Procedures
Thanasis Vafeiadis (Information Technologies Institute, Centre for Research and Technology Hellas), Alexandros Nizamis (Information Technologies Institute, Centre for Research and Technology Hellas), Vissarion Pavlopoulos (Information Technologies Institute, Centre for Research and Technology Hellas), Luigi Giugliano (LINKS Foundation), Vaia Rousopoulou (Information Technologies Institute, Centre for Research and Technology Hellas), Dimosthenis Ioannidis (Information Technologies Institute, Centre for Research and Technology Hellas), Dimitrios K. Tzovaras (Information Technologies Institute, Centre for Research and Technology Hellas)
Résumé : Today, the use of IoT devices, the inter-connectivity of machines and systems, and the development of novel analytic algorithms which are main characteristics of Industry 4.0 are also transferred to other domains connected to the industrial one. The advances on industrial domain have impact on waste management one as these domains are strictly connected. The connection with sensors on industrial partners premises, the big data availability and the significant advances on data analytics, enable the waste management companies to smarten their domain and automate many of their solutions and processes. In this work, we present a data analytics platform for the optimization of waste management procedures. By using this platform, a waste management company is able to monitor and analyze sensors data from industrial partners bins and optimize its planning based on different analytic tools and historical data. Besides the platform description, special focus is given on data analytics algorithms and methods.