General information
The objective of the project was the study and research of innovative models and advanced technologies for the organisation, optimisation and management of the municipal waste (MSW) collection service.
The initiative led to the definition of an integrated system for planning and monitoring door-to-door separate collection, conceived as a true orchestrator of urban hygiene services. A particularly important element was the experimentation of tools based on artificial intelligence and predictive models, applied to the study of citizens' behaviour and waste production dynamics. Added to this was the development of forecasting models, capable of supporting operational decisions and improving the response capacity of utilities.
The project has also led to the development of a prototype finite capacity planner, designed to optimise the use of available resources in urban collection, maximising the efficiency of vehicles, operators and equipment.
The objective is twofold: on the one hand to improve the quality of the service and reduce costs, and on the other hand to minimise the environmental impact of vehicle mobility.
In order to objectively measure these results, a quality monitoring prototype has been created, equipped with a dashboard of KPI indicators built on the basis of ARERA's TQRIF provisions. A tool that allows operators to assess in real time the level of service provided and to adapt it to user needs and regulatory requirements.
The areas of application are utility companies and utilities engaged in door-to-door collection, contexts in which the combination of innovative digital tools, monitoring systems and Al can ensure greater efficiency, transparency and sustainability.
A key aspect was the collaboration with the Department of Mathematics of the University of Padua, which contributed to the development and validation of predictive models. The next steps will involve the engineering of the prototypes and their integration with applications already in use, so as to transform the research into concrete, market-ready solutions.
The project involved the design of an RFID reading wristband, an innovative wearable device designed to revolutionise tracking and monitoring in the professional environment.
The wristband automatically reads RFID tags (LF and UHF), locates via GPS and transmits data in real time via GPRS, WiFi and Bluetooth, enabling operators to work hands-free and more efficiently.
This technological platform integrates advanced functionalities in a single compact tool: dynamic tag management (White List, Black List Double List that can be updated remotely), programmable data transmission by time or number of clockings, highly readable OLEO display, effective audible alerts, customisable reasons for each clocking in and automatic switch-off to optimise autonomy.
Already successfully tested in real operational contexts, the wristband is ideal for numerous sectors:
- Urban waste management: tracking of bins, verification of emptying - currently being tested with several companies in the sector
in Veneto and Trentino-Alto Adige.
- Logistics and transport: automatic package identification, access control.
- Security and surveillance: electronic patrols, real-time attendance recording.
- Industry and maintenance: asset management, tag reading on machinery, verification of technical interventions.
- Health and home care: tracking of operators' activities in the area.
Start date
15/12/2022
End date
15/09/2024