HIERARCHICAL MODELLING FOR RECYCLING-ORIENTED CLASSIFICATION OF SHREDDED SPENT FLAT MONITOR PRODUCTS BASED ON HYPERSPECTRAL IMAGING
- Giuseppe Bonifazi - Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Italy - Research Center for Biophotonics, Sapienza University of Rome, Italy
- Riccardo Gasbarrone - Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Italy
- Roberta Palmieri - Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Italy
- Silvia Serranti - Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, Italy - Research Center for Biophotonics, Sapienza University of Rome, Italy
- Available online in Detritus - Volume 13 - December 2020
- Pages 122-130
Released under CC BY-NC-ND
Copyright: © 2019 CISA Publisher
Abstract
The number of flat monitors from televisions, notebooks and tablets has increased dramatically in recent years, thus resulting in a corresponding rise in Waste from Electrical and Electronic Equipment (WEEE). This fact is linked to the production of new high-performance electronic devices. Taking into account a future volume growth trend of WEEE, the implementation of adequate recycling architectures embedding recognition/classification logics to handle the collected WEEE physical-chemical attributes, is thus necessary. These integrated hardware and software architectures should be efficient, reliable, low cost, and capable of performing detection/control actions to assess: i) WEEE composition and ii) physical-chemical attributes of the resulting recovered flow streams. This information is fundamental in setting up and implementing appropriate recycling actions. In this study, a hierarchical classification modelling approach, based on Near InfraRed (NIR) - Hyperspectral Imaging (HSI), was carried out. More in detail, a 3-step hierarchical modelling procedure was designed, implemented and set up in order to recognize different materials present in a specific WEEE stream: End-of-Life (EoL) shredded monitors and flat screens. By adopting the proposed approach, different categories are correctly recognized. The results obtained showed how the proposed approach not only allows the set up of a “one shot” quality control system, but also contributes towards improving the sorting process.Keywords
Editorial History
- Received: 21 Nov 2019
- Revised: 31 Jul 2020
- Accepted: 31 Jul 2020
- Available online: 30 Nov 2020
References
Agresti, G, Bonifazi, G., Calienno, L., Capobianco, G., Lo Monaco, A., Pelosi, C., Picchio, R. and Serranti, S. 2013. Surface Investigation of Photo-Degraded Wood by Colour Monitoring, Infrared Spectroscopy, and Hyperspectral Imaging. Journal of Spectroscopy
Ballabio, D. and Consonni, V., 2013. Classification tools in chemistry. Part 1: linear models. PLS-DA. Anal. Methods 5: 3790–3798. 10.1039/C3AY40582F
Barker, M. and Rayens, W. 2003. Partial least squares for discrimination. Journal of Chemometrics 17: 166–173
Bonifazi, G., Capobianco, G., Palmieri, R. and Serranti, S., 2019, Hyperspectral imaging applied to the waste recycling sector; Spectroscopy Europe, 31(2), pp. 8-11
Bonifazi, G., Cardillo, A., Currà, A., Gasbarrone, R. and Serranti, S., 2018a. "Near infrared spectroscopy as a tool for in vivo analysis of human muscles ", Proc. SPIE 10662, Smart Biomedical and Physiological Sensor Technology XV, 106620O;
DOI 10.1117/12.2304311
Bonifazi, G., Gasbarrone, R. and Serranti S., 2018b. Characterization of printed circuit boards from e-waste byproducts for copper beneficiation. Proceeding of ECOMONDO 2018, 65-69
Bonifazi, G., Palmieri, R. and Serranti, S., 2017. Concrete drill core characterization finalized to optimal dismantling and aggregates recovery. Waste Management, 60, pp. 301-310
Bonifazi, G., Palmieri, R. and Serranti, S., 2015a. Short wave infrared hyperspectral imaging for recovered post-consumer single and mixed polymers characterization. Proceeding Volume 9403, Image Sensors and Imaging Systems 2015; 94030R.
DOI 10.1117/12.2081362
Bonifazi, G., Palmieri, R. and Serranti, S., 2015b. Hyperspectral imaging applied to end-of-life (EOL) concrete recycling. Technisches Messen, 82(12), pp. 616-624
Bonifazi, G., Palmieri, R. and Serranti, S., 2018c, Evaluation of attached mortar on recycled concrete aggregates by hyperspectral imaging. Construction and Building Materials,169, pp. 835-842
Capobianco, G., Prestileo, F., Serranti, S. and Bonifazi, G., 2015. “Hyperspectral imaging-based approach for the insitu characterization of ancient Roman wall paintings,” Periodico di Mineralogia, Special issue (3A), 407-418
Chancerel, P. and Rotter, S., 2007. Recycling oriented characterisation of WEEE. Proceedings of Eco-X Conference, Vienna, Austria, pp. 205–212
Chen, G.L. and Yu, T.C., 2007. Surface modification for advanced light guide plate for TFT LCD display (eds. Hinduja S., Fan KC.). Proceedings of the 35th International MATADOR Conference. Springer, London.
DOI 10.1007/978-1-84628-988-0_15
Currà, A., Gasbarrone, R., Cardillo, A., Trompetto, C., Fattapposta, F., Pierelli, F., Missori, P., Bonifazi, G. and Serranti, S., 2019. Near infrared spectroscopy as a tool for in vivo analysis of human muscles. Scientific Reports 9, Article number: 8623.
DOI 10.1038/s41598-019-44896-8
Fawcett, T., 2006. An introduction to ROC analysis. Pattern Recogn. Lett. 27 (8): 861-874.
DOI 10.1016/j.patrec.2005.10.010
Gasbarrone, R., Currà, A., Cardillo, A., Bonifazi, G. and Serranti, S., 2018. "Near infrared spectroscopy of human muscles", Proc. SPIE 10489, Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis, 1048914;
DOI 10.1117/12.2287814
Geladi, P., Grahn, H. and Burger, J. 2007. Multivariate images, hyperspectral imaging: background and equipment. In: (Grahn, H. and Geladi, P. Eds.) Techniques and Applications of Hyperspectral Image Analysis John Wiley & Sons, West Sussex, England, pp. 1-15
Gundapalli, S.P., Hait, S., Thakur, A., 2017. A review on automated sorting of source-separated municipal solid waste for recycling. Waste Manage. 60: 56-74.
DOI 10.1016/j.wasman.2016.09.015
Hwang, I. and Ko, J., 2018. LCD Backlights. In Flat Panel Display Manufacturing (eds. J. Souk, S. Morozumi, F. Luo and I. Bita).
DOI 10.1002/9781119161387.ch6
Hyvarinen, T., Herrala, E. and Dall’Ava, A., 1998. Direct signt imaging spectrograph: a unique add-on component brings spectral imaging to industrial applications. In: Proceedings of SPIE Electronic Imaging, 3302, San Jose, California, USA
Kumaravelu, C., and Gopal, A., 2015. “A Review on the applications of Near-Infrared Spectrometer and Chemometrics for the Agro-Food Processing Industries,” Proc. 2015 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development
Larrechi, M.S., and Callao, M.P., 2003. “Strategy for introducing NIR spectroscopy and multivariate calibration techniques in industry,” Trends in Analytical Chemistry, 22, 10
Lee, W. G., Jeong, J. H., Lee, J. Y., Nahm, K. B., Ko, J. H. and Kim J. H., 2006. Light Output Characteristics of Rounded Prism Films in the Backlight Unit for Liquid Crystal Display. Journal of Information Display, 7(4): 1-4
Ljungkvist, H., Rydberg, T., Felix, J. and Garmer, K., 2016. Sustainable recycling of flat panel displays: Evaluation of methods for sustainability assessment of LCD waste management scenarios. IVL report C 210. IVL Swedish Environmental Research Institute Ltd. Stockholm, Sweden
Makenji, K. and Savage, M., 2012. Mechanical methods of recycling plastics from WEEE. In Waste electrical and electronic equipment (WEEE) handbook (eds. V. Goodship and Ab S.), Woodhead Publishing, 212 – 238.
DOI 10.1533/9780857096333.2.212
Masoumi, H., Safavi, S. M. and Khani, Z., 2012. “Identification and Classification of Plastic Resins using Near Infrared Reflectance Spectroscopy,” International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 6(5), 877-884
Oliveira, C.R.D., Bernardes, A. M. and Gerbase, A.E., 2012. Collection and recycling of electronic scrap: A worldwide overview and comparison with the Brazilian situation. Waste Management 17(8): 1592-1610
Ongondo, F. O., Williams, I. D. and Cherrett, T. J., 2011. How are WEEE doing? A global review of the management of electrical and electronic wastes. Waste Manage. 31 (4): 714–730.
DOI 10.1016/j.wasman.2010.10.023
Palmieri, R., Bonifazi, G. and Serranti, S., 2014a. Automatic detection and classification of EOL-concrete and resulting recovered products by hyperspectral imaging. In: Proceedings of SPIE Electronic Imaging, 9106, 91060D, Baltimore, Maryland, USA
Palmieri, R., Bonifazi, G. and Serranti, S., 2014b. Recycling-oriented characterization of plastic frames and printed circuit boards from mobile phones by electronic and chemical imaging. Waste Manage. 34(11): 2120-2130.
DOI 10.1016/j.wasman.2014.06.003
Pasquini, C., 2003. “Near Infrared Spectroscopy: Fundamentals, Practical Aspects and Analytical Applications,” J. Braz. Chem. Soc., 14, 2, 198-219
Rinnan, Å., van den Berg, F. and Engelsen, S. B., 2009. Review of the most common pre-processing techniques for near-infrared spectra. TrAC Trends in Analytical Chemistry 28: 1201–1222.
DOI 10.1016/j.trac.2009.07.007
Robinson B. H. 2009. E-waste: An assessment of global production and environmental impacts. Science of the Total Environment 408(2): 183–191
Roggo, Y., Chalus, P., Maurer, L., Lema-Martinez, C., Edmond, A. and Jent, N., 2007. “A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies,” Journal of Pharmaceutical and Biomedical Analysis, 44, 683–700
Ryan, A., O’ Donoghue, L., Lewis, H., 2011. Characterising components of liquid crysal displays to facilitate disassembly. J Clean Prod 19: 1066-1071
Salhofer, S., Spitzbart, M. and Maurer K., 2011. Recycling of LCD Screens in Europe - State of the Art and Challenges. In: (Hesselbach J., Herrmann C. Eds.). Glocalized Solutions for Sustainability in Manufacturing. Springer, Berlin, Heidelberg, pp.454-458
Serranti, S., Bonifazi, G. and Gasbarrone, R., 2018a. "Olive fruit ripening evaluation and quality assessment by hyperspectral sensing devices", Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 106650R;
DOI 10.1117/12.2297352
Serranti, S., Bonifazi, G. and Gasbarrone, R., 2018b. "Kiwifruits ripening assessment by portable hyperspectral devices", Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 106650S;
DOI 10.1117/12.2297353
Serranti, S., Palmieri, R. and Bonifazi, G., 2015. Hyperspectral imaging applied to demolition waste recycling: innovative approach for product quality control. J. Electron. Imag. 24(4) 04003.
DOI 10.1117/1.JEI.24.4.043003
Suresh, S. S., Mohanty, S. and Nayak, S. K., 2017. Preparation and characterization of recycled blends using poly(vinyl chloride) and poly(methyl methacrylate) recovered from waste electrical and electronic equipments. Journal of Cleaner Production 149: 863-873
Suresh, S. S., Mohanty, S. and Nayak, S. K., 2018. Preparation of poly(vinyl chloride)/poly(methyl methacrylate) recycled blends: effect of varied concentration of PVC and PMMA in stability of PVC phase on recycled blends. Proceedings of Materials Today 5(2): 8899-8907
Tarantili, P.A., Mitsakaki, A.N. and Petoussi, M.A., 2010. Processing and properties of engineering plastics recycled from waste electrical and electronic equipment (WEEE). Polymer Degradation and Stability 95: 405-410
Teixeira dos Santos, C. A., Lopo, M., N.M.J. Páscoa, R. and A. Lopes, J., 2013. “A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry;” Applied Spectroscopy, 67, 11, 1215–1233
Tsuchikawa, S. and Kobori, H., 2015. “A review of recent application of near infrared spectroscopy to wood science and technology,” J Wood Sci, 61, 213–220
Ulrici, A., Serranti, S., Ferrari, C., Cesare, D., Foca, G. and Bonifazi, G., 2013. Efficient chemometric strategies for PET–PLA discrimination in recycling plants using hyperspectral imaging. Chemometr. and Intell. Lab. 122: 31-39.
DOI 10.1016/j.chemolab.2013.01.001
UNEP. 2009. RECYCLING – FROM E - WASTE TO RESOURCES. s.l.: United Nations Environment Programme & United Nations University
Veit, H. M. and Bernardes, A. M., 2015. Electronic Waste: Generation and managment. In: (Veit, H. M. and Bernardes, A. M., Eds.) Electronic Waste: recycling techniques. Springer International Publishing Switzerland, pp. 3-10
Zeng, X., Mathewes, J. A. and Li, J., 2018. Urban Mining of E-Waste is Becoming More Cost-Effective Than Virgin Mining. Environmental Science & Technology 52(8): 4835-4841