ca na putxa ute giref

The Temporary Consortium has relied on PICVISA among all possible suppliers to meet the high ratios of effectiveness and purity required in the project of Ca Na Putxa.

Seven pieces of our ECOPACK line of optical sorters have been installed with the most innovative developments, including artificial intelligence.

The ECOPACK family, based on NIR technology and with the possibility of incorporating Deep Learning, continues its progress in the waste sector. Seven units have been installed at different points in the process for the recovery of recoverable materials such as PET, HDPE, mixed plastics, CBA and paper/cardboard.

The units are sized and configured to be able to process both R.S.U. and E.E.L.L. The flexibility and versatility of the units facilitates rapid adaptation of all the unit parameters to the different types of flows.

The configuration and arrangement of the sorters in the treatment line is designed to achieve the maximum overall recovery of the plant of Ca Na Putxa, minimizing the loss of recoverable materials in the plant rejects.

The 2D material coming from the two ballistic sorters is united in a single flow that feeds an ECOPACK-3000. The purpose of this equipment is the recovery of paper/cardboard.

The 3D material coming from the two ballistic sorters is also united in a single line to feed the cascade of rolling optical sorters. The first equipment, an ECOPACK-3000, is responsible for separating all the recoverable material (plastics and CBA). The rest of the unblown material falls into a second optical sorter, also model ECOPACK-3000, which recovers all the possible recoverable material that has not been classified by its predecessor.

Once the recoverable material has been separated, this flow passes to the next equipment ECOPACK-2000, which complements the NIR-based technology with the artificial intelligence “BRAIN Add-on by PICVISA” (Deep Learning). Its mission is the detection and classification of PET containers, discriminating the thermoformed (trays) if the customer so parameterizes. The ease and speed of configuration change, even with the line running, is immediate, through an intuitive touch screen.

The next step would be the classification of the HDPE through an ECOPACK-1000, and finally the material goes through an ECOPACK-2000 with 2 channels. The CBA is sorted through one of the channels and the final rejects are redirected to the second channel for container recovery and recirculation to the sorters’ headers. In this way, the loss of recoverable materials in the final rejection of the line is avoided.

In addition, all plastics and CBA sorted by an ECOPACK-2000 located in the trommel sinking line are discharged at the head of the 3D-flow sorters’ cascade, so that the smallest recoverable materials (50-100mm) are also recovered by the equipment installed in the main flow.

All PICVISA’s optical sorters are supplied ready to integrate at any time the additional artificial intelligence module “BRAIN Add-on”. In this way, PICVISA is committed to a vision of the future for its equipment in order to be able to easily adapt them to new customer requirements or market developments.

Technological innovation in machine vision and artificial intelligence is the pillar for the new Industry 4.0. and for years PICVISA has been guiding the evolution and development of all its equipment with the aim of being a leader and benchmark in R+D+i. The information collected by the equipment, the control of parameters and alarm management is key to be able to base strategic decisions of the process and maximize the profitability of the business.

PICVISA maintains and reinforces its strategic commitment to the application of Artificial Intelligence to the recycling sector, being a pioneer in the application of this technology both through the ECOPICK robotic solution and in its different families of optical sorters, ECOPACK and ECOGLASS. Artificial Intelligence has already begun to be introduced in the recycling sector and its progress is presumed to be unstoppable, since it allows solving typical problems of equipment that does not have this technology as an added value.