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Data AnalyticsBusiness Intelligence (BI)DSSR&D&IIoTPredictiveSmartCity

Soltel is participating in a research project for the development of an Intelligent System for Prediction and Optimization of Routes for the Collection of Urban Solid Waste.

Project subsidized by the CDTI and supported by the Ministry of Economy and Competitiveness with aid co-financed by ERDF funds through the “Smart Growth Operational Programme 2014-2020” and CDTI's own funds.

Project objective

SmartRSU is a platform that provides predictive information on the fill level of a specific container with a horizon of up to  7 days, based on historical garbage collection data and additional contextual information.

The challenge of the project is to minimize the cost of the deployed infrastructure, since only a small number of sensors are installed in the containers as a control reference, in contrast to other existing solutions that require sensing a large number of containers.

These predictions will then be used, along with applicable regulations, to determine which containers need to be emptied and which can be left for the next day without causing problems. The system also defines the optimal routes for collection trucks to empty the selected containers, reducing fuel consumption, working hours, and pollution.

Beneficiaries

Soltel IT Solutions SLU

AZVI

logo-soltel-proyecto-guias-clinicas3 logo Azvi

Research organizations

Research Group on Electronic Technology and Industrial Computing (TIC-150) of the University of Seville.

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Supported by

FEDER-UE CDTI-660x165

Project location: Seville. Real-world testing in Cadiz.

Implementation period: from January 2017 to December 2018.

Total budget: €890,309. Soltel's budget: €393,049

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