The iWASTE project derives from the need to innovate the industrial waste treatment, constantly changing and miscellaneous nature of waste streams, both liquid and solid, on the basis of different input loads (dozens of trucks and tankers). This heterogeneity implies a considerable variability in waste treatment, depending on the input material characteristics. Therefore, it is technically impossible to plan and optimize the workflows, producing discontinuity and inefficiency in the management, which causes higher power consumption.

 

The goal of the iWaste is to make the treatment processes and facilities “Smart”, thanks to pervasive sensors and Industrial IoT solutions, in order to create the database for development and planning new and more efficient workflows. New management system will be created with this database, that will create a strong integration between the ‘physical’ world of operations and all the business, technical and administrative processes.

iwaste project label logo

The Project 

The project is created by the following companies:

 

  • Waste Recycling, owner of the treatment plant of Castelfranco di Sotto (PI), ‘testbed’ for new management system and new processes;
  • University of Pisa, regarding the energy analyses, KPI and processes definition;
  • Sinergest for the analysis and management apps and the statistics analysis of production data;
  • Alleantia for the technical part related to the Industrial IoT; the integration of the sensors and plants control systems, and Sinergest apps interface.

and with Archa Laboratory support.

All ISS devices are connected to the plant’s LAN, with a secure architecture, which communicates with Sinergest systems, that integrate other data coming from SCADA systems, logistics and administrative systems, to create the integrated view of different processes and to build the statistical analysis of consumption of plants and waste treatment processes.

Map iWaste

Benefits

The development of a management platform for collection and elaboration of different types of sensors data and relation them to the manufacturing activities will allow:

  1. Collecting new analytics data of devices performance (pumps, inverters, PLCs, transformers, etc.) and plants, especially to reveal power consumption data, widely introducing the Industrial IoT in the company’s reality.
  2. The real-time elaboration of the sensors and machines information through specific algorithms, developed ad hoc, to monitor the company’s departments and plants in terms of power consumption, identifying via specific indicators the energy-intensive processes.
  3. The analysis of the results in a process of ‘continuous improvement’ to achieve efficient solutions and processes, and promote the “sustainable manufacturing”, which today and in the future represents one of the main points of competitiveness in terms of control of costs and respect of environmental regulations.

“Alleantia Srl. Project co-financed under Tuscany
POR FESR 2014-2020”