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:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9201
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9201
- Palabra clave:
- Cold chain
Monitoring and control of the temperature
Perishable products
Robotics
Temperature control
Cold chain
Current technology
General description
Monitoring and control
Perishable product
Quality and safeties
Food safety
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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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 |
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Technologies applied in the monitoring and control of the temperature in the Cold Chain Cold chain Monitoring and control of the temperature Perishable products Robotics Temperature control Cold chain Current technology General description Monitoring and control Perishable product Quality and safeties Food safety |
| 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 |
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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.contributor.editor.none.fl_str_mv |
Garcia L. Wightman P. Percybrooks W. Carrillo H. Quintero C. |
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Cold chain Monitoring and control of the temperature Perishable products Robotics Temperature control Cold chain Current technology General description Monitoring and control Perishable product Quality and safeties Food safety |
| topic |
Cold chain Monitoring and control of the temperature Perishable products Robotics Temperature control Cold chain Current technology General description Monitoring and control Perishable product Quality and safeties Food safety |
| 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. © 2018 IEEE. |
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2018 |
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2018 |
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2020-03-26T16:33:12Z |
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2020-03-26T16:33:12Z |
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Conferencia |
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2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018 |
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9781538684641 |
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https://hdl.handle.net/20.500.12585/9201 |
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10.1109/CCRA.2018.8588118 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57205660112 55498635300 |
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2018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 2018 9781538684641 10.1109/CCRA.2018.8588118 Universidad Tecnológica de Bolívar Repositorio UTB 57205660112 55498635300 |
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eng |
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1 November 2018 through 3 November 2018 |
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Institute of Electrical and Electronics Engineers Inc. |
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Garcia L.Wightman P.Percybrooks W.Carrillo H.Quintero C.Campos Y.Villa Ramírez, José Luis2020-03-26T16:33:12Z2020-03-26T16:33:12Z20182018 IEEE 2nd Colombian Conference on Robotics and Automation, CCRA 20189781538684641https://hdl.handle.net/20.500.12585/920110.1109/CCRA.2018.8588118Universidad Tecnológica de BolívarRepositorio UTB5720566011255498635300In 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. © 2018 IEEE.This Project is partially founded by Universidad Tecnolog-ica de Bolivar through the project Design and Implementation of an application of predictive control of temperature in logistic cold chains (project FI1607T2004).Recurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061009427&doi=10.1109%2fCCRA.2018.8588118&partnerID=40&md5=d958b8c18e2cc85ee584d5451653d7ae2nd IEEE Colombian Conference on Robotics and Automation, CCRA 2018Technologies applied in the monitoring and control of the temperature in the Cold Chaininfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fCold chainMonitoring and control of the temperaturePerishable productsRoboticsTemperature controlCold chainCurrent technologyGeneral descriptionMonitoring and controlPerishable productQuality and safetiesFood safety1 November 2018 through 3 November 2018(2016), FAO Food Losses and Waste in Latin America and the Caribbean-FAO(2014) Loǵistica de Perecederos y Cadena de Fŕio en Colombia, pp. 46-112. , Procolombia, "" Cartilla Cadena de FŕioNavarro, H., (2013) Proexport Loǵistica en la Cadena de Fŕio, pp. 1-35(2010) FAO/OMS, ""codex Alimentarius, "" Secretariat of the Codex Alimentarius Commission, Joint FAO/WHO Food Standards Programme Food and Agriculture Organization of the, , United Nations, RomaZhang, Q., Chen, Z., HACCP and the risk assessment of coldchain (2011) Int. J. Wirel. Microw. Technol, 1 (1), p. 6771Chunling, S., (2012) Application of RFID Technology for Logistics on Internet of Things, "" AASRI ProcediaBo, Y., Danyu, L., Application of RFID in cold chain temperature monitoring system (2009) 2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM, pp. 258-261Fanjun, L., Zhaojiong, C., Brief analysis of application of RFID in pharmaceutical cold-chain temperature monitoring system (2011) Proceedings 2011 International Conference on Transportation Mechanical, and Electrical Engineering, TMEE 2011, pp. 2418-2420Yu, C., Yao, W., Jinn, J., A novel deployment of smart cold chain system using 2G-RFID-Sys (2014) Journal of Food Engineering, 141, pp. 113-121. , Elsevier LtdLakshmi, V., Vijayakumar, S., Wireless sensor network based alert system for cold chain management (2012) Procedia Engineering, 38, pp. 537-543Ventje Engel, J.L., Suhono Harso, S., Context-Aware inference model for cold-chain logistics monitoring (2014) Proceedings-2014 International Conference on ICT for Smart Society: ""smart System Platform Development for City and Society GoeSmart 2014, pp. 192-196. , ICISS 2014Emenike, C., Nardus, P., Alwyn, J., Improving cold chain logistics through RFID temperature sensing and predictive modelling (2016) IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 2331-2338Xinqing, X., Zetian, F., Yongjun, Z., Zhaohui, P., Xiaoshua, Z., Developing an intelligent traceability system for aquatic products in cold chain logistics integrated WSN with spc (2016) Journal of Food Processing and Preservation, pp. 1448-1458Carullo, A., Corbellini, S., Parvis, M., Vallan, A., A wireless sensor network for cold-chain monitoring (2009) IEEE Trans. Instrum. Meas, 58 (5), p. 14051411Badia-Melis, R., Mc Carthy, U., Ruiz-Garcia, L., Garcia-Hierro, J., Robla Villalba, J.I., (2017) New Trends in Cold Chain Monitoring Applications-A Review, "" Food ControlJedermann, R., Lang, W., (2009) The Minimum Number of Sensors-Interpolation of Spatial Temperature Profiles in Chilled Transports, pp. 232-246. , EWSN SpringerJedermann, R., Palafox-Albarrn, J., Robla, J.I., Barreiro, P., Ruiz-Garca, L., Lang, W., Interpolation of spatial temperature profiles by sensor networks (2011) Sensors IEEE, pp. 778-781Badia-Melis, R., Mc Carthy, U., Uysual, I., Data estimation methods for predicting temperatures of fruit in refrigerated containers (2016) Biosystem Engineering in PRESS, pp. 1-12Badia-Melis, R., Brecht, E., Lowe, A., Uysual, I., Pallet wide temperature estimation and mapping for perishable food (2013) Proceedings of the Poster on Annual Conference ASABEAbad, E., RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain (2009) J. Food Eng, 93 (4), p. 394399Guo, S., Zhang, F., Wang, J., (2013) Cold Chain Logistics Monitoring System with Temperature Modeling, pp. 225-233Gowen, A., Tiwari, B., Cullen, P., McDonnell, K., O'Donnell, C., Applications of thermal imaging in food quality and safety assessment (2010) Trends in Food Science and TechnologyBadia-Melis, R., Qian, J., Fan, B., Hoyos-Echeverria, P., Ruiz-Garca, L., Yang, X., Artificial neural networks and thermal image for temperature prediction in apples (2016) Food and Bioprocess Technology, pp. 1-11Krzysztof, W., Internet of things, big data, industry 4.0-innovative solutions in logistics and supply chains management (2017) Procedia Engineering, pp. 763-769Zhu-Wu, L., Zhao, Y., Cold chain logistics temperature monitoring system based on internet of things technology (2013) Applied Mechanics and Materials 1969-1973, 416-417Li, Y., Peng, Y., Zhang, L., Wei, J., Li, D., Quality monitoring traceability platform of agriculture products cold chain logistics based on the internet of things (2015) Chem. Eng. Trans, 46, p. 517522Zhang, Y., Chen, E., Comprehensive monitoring system of fresh food cold chain logistics (2014) Applied Mechanics and Materials, 602-605, pp. 2340-2343Li, X., Wang, Y., Chen, X., Cold chain logistics system based on cloud computing (2012) Concurr. Comput. Pract. ExpLu, S., Wang, X., Toward an intelligent solution for perishable food cold chain management (2017) Proc IEEE Int. Conf. Softw. Eng. Serv. Sci. ICSESS, p. 852856Heng, L., Minjie, Z., Sengang, Y., Hanping, H., Yong, C., Larissa, B., An intelligent tracking system based on internet of things for the cold chain (2016) Internet Research, 26 (2), pp. 435-445Chih-Wen, S., Chih-Hsuan, W., Integrating wireless sensor networks with statistical quality control to develop a cold chain system in food industries (2016) Computer Standards & Interfaces, 45, pp. 62-78Tsang, Y., Choy, K., Wu, C., Ho, G., Lam, H., Koo, P., An IoTbased cargo monitoring system for enhancing operational effectiveness under a cold chain environment (2017) International Journal of Engineering Business ManagementYing, K., Cheng, Y., Applying back propagation network to cold chain temperature monitoring (2011) Advanced Engineering Informatics, 25 (1), pp. 11-22Weidong, Z., Weihui, D., Shangchen, Z., Outlier detection in coldchain logistics temperature monitoring (2013) Elektronika Ir Elektrotechnika, 19 (3), pp. 65-68Jia, D., Krogh, B.H., Distributed model predictive control (2001) Am. Control Conf, 4, pp. 2767-2772Camponogara, E., Jia, D., Krogh, B.H., Talukdar, S., Distributed model predictive control (2002) IEEE Control Syst, 22 (1), p. 4452Maestre, J.M., De La Muoz, Camacho, E.F., Alamo, T., Distributed model predictive control based on agent negotiation (2011) J. Process Control, 21 (5), p. 685697Khler, P.N., Mller, M.A., Pannek, J., Allgwer, F., On exploitation of supply chain properties by sequential distributed mpc (2017) IFACPapersOnLine, 50 (1), p. 79477952. , JulPourkargar, D.B., Almansoori, A., Daoutidis, P., Distributed model predictive control of process networks: Impact of control architecture (2017) IFAC-PapersOnLine, 50 (1), p. 1245212457http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/9201/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/9201oai:repositorio.utb.edu.co:20.500.12585/92012023-04-21 15:43:40.378Repositorio Institucional UTBrepositorioutb@utb.edu.co |