Technologies applied in the monitoring and control of the temperature in the Cold Chain
In this article, an analysis of the technologies applied for the monitoring and control of the temperature of perishable products in the cold chain is presented. Also, a general description of the stages of the process is made from the production, transport, storage, distribution, points of sale and...
- Autores:
-
Campos, Y.
Villa, J. L.
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/2598
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/2598
- Palabra clave:
- Cold chain
Monitoring and control of the temperature
Perishable products
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
| id |
USIMONBOL2_ca156199bb999ac488d5b1dda33a9f9a |
|---|---|
| oai_identifier_str |
oai:bonga.unisimon.edu.co:20.500.12442/2598 |
| network_acronym_str |
USIMONBOL2 |
| network_name_str |
Repositorio Digital USB |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| title |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| spellingShingle |
Technologies applied in the monitoring and control of the temperature in the Cold Chain Cold chain Monitoring and control of the temperature Perishable products |
| title_short |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| title_full |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| title_fullStr |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| title_full_unstemmed |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| title_sort |
Technologies applied in the monitoring and control of the temperature in the Cold Chain |
| dc.creator.fl_str_mv |
Campos, Y. Villa, J. L. |
| dc.contributor.author.none.fl_str_mv |
Campos, Y. Villa, J. L. |
| dc.subject.eng.fl_str_mv |
Cold chain Monitoring and control of the temperature Perishable products |
| topic |
Cold chain Monitoring and control of the temperature Perishable products |
| description |
In this article, an analysis of the technologies applied for the monitoring and control of the temperature of perishable products in the cold chain is presented. Also, a general description of the stages of the process is made from the production, transport, storage, distribution, points of sale and final consumer. The objective of this work is to identify the current technologies trends that can be implemented in a comprehensive way in a cold chain that allow to save costs, significant time and reduce the waste of food in companies. In addition, there is a brief discussion of future work that can be implemented to ensure the quality and safety of food and medicines throughout the cold chain. |
| publishDate |
2018 |
| dc.date.issued.none.fl_str_mv |
2018-12 |
| dc.date.accessioned.none.fl_str_mv |
2019-02-12T16:31:39Z |
| dc.date.available.none.fl_str_mv |
2019-02-12T16:31:39Z |
| dc.type.eng.fl_str_mv |
article |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.identifier.isbn.none.fl_str_mv |
9781538684641 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12442/2598 |
| identifier_str_mv |
9781538684641 |
| url |
http://hdl.handle.net/20.500.12442/2598 |
| dc.language.iso.eng.fl_str_mv |
eng |
| language |
eng |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
| dc.rights.license.spa.fl_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
| rights_invalid_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
| dc.publisher.eng.fl_str_mv |
IEEE |
| dc.source.eng.fl_str_mv |
IEEE Xplore IEEE 2nd Colombian Conference on Robotics and Automation (CCRA) |
| institution |
Universidad Simón Bolívar |
| dc.source.uri.eng.fl_str_mv |
10.1109/CCRA.2018.8588118 |
| bitstream.url.fl_str_mv |
https://bonga.unisimon.edu.co/bitstreams/40eb3d1d-6e5d-4dff-a5d2-b68155d2d681/download |
| bitstream.checksum.fl_str_mv |
3fdc7b41651299350522650338f5754d |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
| repository.name.fl_str_mv |
DSpace UniSimon |
| repository.mail.fl_str_mv |
bibliotecas@biteca.com |
| _version_ |
1812100533042806784 |
| spelling |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_16ecCampos, Y.ccc11bbe-a787-40f2-becf-716683b8fb70-1Villa, J. L.d65ae71e-a806-4f7e-a4e4-f2bf022f0574-12019-02-12T16:31:39Z2019-02-12T16:31:39Z2018-129781538684641http://hdl.handle.net/20.500.12442/2598In this article, an analysis of the technologies applied for the monitoring and control of the temperature of perishable products in the cold chain is presented. Also, a general description of the stages of the process is made from the production, transport, storage, distribution, points of sale and final consumer. The objective of this work is to identify the current technologies trends that can be implemented in a comprehensive way in a cold chain that allow to save costs, significant time and reduce the waste of food in companies. In addition, there is a brief discussion of future work that can be implemented to ensure the quality and safety of food and medicines throughout the cold chain.engIEEEIEEE XploreIEEE 2nd Colombian Conference on Robotics and Automation (CCRA)10.1109/CCRA.2018.8588118Cold chainMonitoring and control of the temperaturePerishable productsTechnologies applied in the monitoring and control of the temperature in the Cold Chainarticlehttp://purl.org/coar/resource_type/c_6501FAO, ”Food Losses and Waste in Latin America and the Caribbean- FAO,” 2016.FAO/OMS, ”Codex Alimentarius,” Secretariat of the Codex Alimentarius Commission, Joint FAO/WHO Food Standards Programme Food and Agriculture Organization of the United Nations, Roma, 2010.Q. Zhang and Z. Chen, ”HACCP and the Risk Assessment of Coldchain,” Int. J. Wirel. Microw. Technol., vol. 1, no. 1, pp. 6771, 2011.S. Chunling, ”Application of RFID Technology for Logistics on Internet of Things,” AASRI Procedia, 2012.Y. Bo and L. Danyu, ”Application of RFID in cold chain temperature monitoring system,” 2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM, pp. 258-261, 2009.L. Fanjun and C. Zhaojiong, ”Brief analysis of application of RFID in pharmaceutical cold-chain temperature monitoring system ,” Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011, pp. 2418-2420, 2011.C. Yu, W. Yao and J. Jinn, ”A novel deployment of smart cold chain system using 2G-RFID-Sys,” Journal of Food Engineering, Elsevier Ltd,141, pp. 113-121, 2014.V. Lakshmi and S. Vijayakumar, ”Wireless sensor network based alert system for cold chain management,” Procedia Engineering,vol. 38,pp. 537-543,2012.J.L. Ventje Engel and S. Suhono Harso, ”Context-aware inference model for cold-chain logistics monitoring,” Proceedings - 2014 International Conference on ICT for Smart Society: ”Smart System Platform Development for City and Society, GoeSmart 2014, ICISS 2014, pp. 192-196, 2014.C. Emenike, P. Nardus, and J. Alwyn, ”Improving Cold Chain Logistics through RFID temperature sensing and Predictive Modelling,” IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 2331-2338, 2016.X. Xinqing, F. Zetian , Z. Yongjun , P. Zhaohui , and Z. Xiaoshua, ”Developing an Intelligent Traceability System for Aquatic Products in Cold Chain Logistics Integrated WSN with SPC,” Journal of Food Processing and Preservation, pp. 1448-1458, 2016.A. Carullo, S. Corbellini, M. Parvis, and A. Vallan, ”A wireless sensor network for cold-chain monitoring,” IEEE Trans. Instrum. Meas., vol. 58, no. 5, pp. 14051411, 2009.R. Badia-Melis, U. Mc Carthy, L. Ruiz-Garcia, J. Garcia-Hierro, and J. I. Robla Villalba, ”New trends in cold chain monitoring applications - A review,” Food Control, 2017.R. Jedermann and W. Lang, ”The Minimum Number of Sensors- Interpolation of Spatial Temperature Profiles in Chilled Transports,” EWSN. Springer, pp. 232-246, 2009.R. Jedermann , J. Palafox-Albarrn, J. I. Robla, P. Barreiro, L. Ruiz-Garca and W. Lang, ”Interpolation of spatial temperature profiles by sensor networks,” Sensors,IEEE , pp. 778-781,2011.R. Badia-Melis, U. Mc Carthy and I. Uysual, ”Data estimation methods for predicting temperatures of fruit in refrigerated containers,” Biosystem Engineering, IN PRESS,1-12, 2016.R. Badia-Melis, E. Brecht, A. Lowe, and I. Uysual, ”Pallet wide temperature estimation and mapping for perishable food,” Proceedings of the Poster on Annual Conference ASABE, 2013.E. Abad et al., ”RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain,” J. Food Eng., vol. 93, no. 4, pp. 394399, 2009.S. Guo and F. Zhang and J. Wang, ”Cold Chain Logistics Monitoring System with Temperature Modeling,” pp. 225-233,2013.A. Gowen, B. Tiwari, P. Cullen, K. Mcdonnell, and C. ODonnell, ”Applications of thermal imaging in food quality and safety assessment,” Trends in Food Science and Technology, 2010.R. Badia-Melis, J. Qian, B. Fan, P. Hoyos-Echeverria, L. Ruiz-Garca, and X. Yang, ”Artificial Neural Networks and Thermal Image for Temperature Prediction in Apples,” Food and Bioprocess Technology,pp. 1-11, 2016.W. Krzysztof, ”Internet of Things, Big Data, Industry 4.0 - Innovative Solutions in Logistics and Supply Chains Management,” Procedia Engineering, pp. 763-769, 2017.L. Zhu-Wu and Y. Zhao, ”Cold Chain Logistics Temperature Monitoring System Based on Internet of Things Technology,” Applied Mechanics and Materials, 416-417:1969–1973, 2013.Y. Li, Y. Peng, L. Zhang, J. Wei, and D. Li ”Quality Monitoring Traceability Platform of Agriculture products Cold Chain Logistics Based on the Internet of Things,” Chem. Eng. Trans., vol. 46, pp. 517522, 2015.Y. Zhang and E. Chen, ”Comprehensive Monitoring System of Fresh Food Cold Chain Logistics,” Applied Mechanics and Materials, vol. 602-605, pp. 2340-2343, 2014.X. Li, Y. Wang, and X. Chen, Cold chain logistics system based on cloud computing, Concurr. Comput. Pract. Exp., 2012.S. Lu and X. Wang, ”Toward an intelligent solution for perishable food cold chain management,” Proc. IEEE Int. Conf. Softw. Eng. Serv. Sci. ICSESS , pp. 852856, 2017.L. Heng ,Z. Minjie ,Y. Sengang , H. Hanping ,C. Yong , and B. Larissa, ”An intelligent tracking system based on internet of things for the cold chain,” Internet Research, 26(2):435–445, 2016.S. Chih-Wen and W. Chih-Hsuan, ”Integrating wireless sensor networks with statistical quality control to develop a cold chain system in food industries,” Computer Standards & Interfaces, 45:62–78, 2016.Y. Tsang, K. Choy, C. Wu, G. Ho, H. Lam, and P. Koo, ”An IoTbased cargo monitoring system for enhancing operational effectiveness under a cold chain environment,” International Journal of Engineering Business Management,2017.K. Ying and Y. Cheng, ”Applying back propagation network to cold chain temperature monitoring,” Advanced Engineering Informatics, 25(1):11–22, 2011.Z. Weidong , D. Weihui , and Z. Shangchen, ”Outlier detection in coldchain logistics temperature monitoring, ” Elektronika ir Elektrotechnika, 19(3):65–68, 2013.D. Jia and B. H. Krogh, ”Distributed model predictive control,” Am. Control Conf., vol. 4, pp. 2767-2772, 2001.E. Camponogara, D. Jia, B. H. Krogh, and S. Talukdar, ”Distributed Model Predictive Control,” IEEE Control Syst., vol. 22, no. 1, pp. 4452, 2002.J. M. Maestre, D. Muoz De La Pea, E. F. Camacho, and T. Alamo, ”Distributed model predictive control based on agent negotiation,” J. Process Control, vol. 21, no. 5, pp. 685697, 2011.P. N. Khler, M. A. Mller, J. Pannek, and F. Allgwer, ”On Exploitation of Supply Chain Properties by Sequential Distributed MPC,” IFACPapersOnLine , vol. 50, no. 1, pp. 79477952, Jul. 2017.D. B. Pourkargar, A. Almansoori, and P. Daoutidis, ”Distributed model predictive control of process networks: Impact of control architecture.” IFAC-PapersOnLine , vol. 50, no. 1, pp. 1245212457, 2017.Procolombia, ”Logística de perecederos y cadena de frío en Colombia,” Cartilla Cadena de Frío, pp. 46-112, 2014.H. Navarro and Proexport, ”Logística en la Cadena de Frío ,” pp. 1-35, 2013.LICENSElicense.txtlicense.txttext/plain; charset=utf-8368https://bonga.unisimon.edu.co/bitstreams/40eb3d1d-6e5d-4dff-a5d2-b68155d2d681/download3fdc7b41651299350522650338f5754dMD5220.500.12442/2598oai:bonga.unisimon.edu.co:20.500.12442/25982019-04-11 21:51:49.366metadata.onlyhttps://bonga.unisimon.edu.coDSpace UniSimonbibliotecas@biteca.comPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj48aW1nIGFsdD0iTGljZW5jaWEgQ3JlYXRpdmUgQ29tbW9ucyIgc3R5bGU9ImJvcmRlci13aWR0aDowIiBzcmM9Imh0dHBzOi8vaS5jcmVhdGl2ZWNvbW1vbnMub3JnL2wvYnktbmMvNC4wLzg4eDMxLnBuZyIgLz48L2E+PGJyLz5Fc3RhIG9icmEgZXN0w6EgYmFqbyB1bmEgPGEgcmVsPSJsaWNlbnNlIiBocmVmPSJodHRwOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS1uYy80LjAvIj5MaWNlbmNpYSBDcmVhdGl2ZSBDb21tb25zIEF0cmlidWNpw7NuLU5vQ29tZXJjaWFsIDQuMCBJbnRlcm5hY2lvbmFsPC9hPi4= |