Failures Monitoring in Refrigeration Equipment
The refrigerators are the responsible to assure the temperature and humidity conditions for perishable products stored in it. In this sense, it is necessary to guarantee its good performance at all times in order to preserve the products. In this article We propose a failures monitoring system for r...
- 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:20.500.12585/8902
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8902
- Palabra clave:
- Asset management
Industrial internet of things
Refrigeration equipment
Asset management
Internet of things
Preventive maintenance
Industrial internets
Internet of Things (IOT)
Monitoring system
Perishable product
Preventive and corrective maintenance
Proof of concept
Refrigeration equipment
Temperature and humidities
Industrial refrigeration
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Failures Monitoring in Refrigeration Equipment |
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Failures Monitoring in Refrigeration Equipment |
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Failures Monitoring in Refrigeration Equipment Asset management Industrial internet of things Refrigeration equipment Asset management Internet of things Preventive maintenance Industrial internets Internet of Things (IOT) Monitoring system Perishable product Preventive and corrective maintenance Proof of concept Refrigeration equipment Temperature and humidities Industrial refrigeration |
| title_short |
Failures Monitoring in Refrigeration Equipment |
| title_full |
Failures Monitoring in Refrigeration Equipment |
| title_fullStr |
Failures Monitoring in Refrigeration Equipment |
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Failures Monitoring in Refrigeration Equipment |
| title_sort |
Failures Monitoring in Refrigeration Equipment |
| dc.contributor.editor.none.fl_str_mv |
Maya Duque P.A. Villegas J.G. Figueroa-Garcia J.C. Orozco-Arroyave J.R. |
| dc.subject.keywords.none.fl_str_mv |
Asset management Industrial internet of things Refrigeration equipment Asset management Internet of things Preventive maintenance Industrial internets Internet of Things (IOT) Monitoring system Perishable product Preventive and corrective maintenance Proof of concept Refrigeration equipment Temperature and humidities Industrial refrigeration |
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Asset management Industrial internet of things Refrigeration equipment Asset management Internet of things Preventive maintenance Industrial internets Internet of Things (IOT) Monitoring system Perishable product Preventive and corrective maintenance Proof of concept Refrigeration equipment Temperature and humidities Industrial refrigeration |
| description |
The refrigerators are the responsible to assure the temperature and humidity conditions for perishable products stored in it. In this sense, it is necessary to guarantee its good performance at all times in order to preserve the products. In this article We propose a failures monitoring system for refrigeration equipment using Internet of Things (IoT) technologies. The aim of the solution is to manage preventive and corrective maintenance programs and, in this way, We look for assuring the conditions of the consigned products that are distributed along an entire country. We present the conceptualization, the design of the system and the results of the proof of concept. © 2018, Springer Nature Switzerland AG. |
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2018 |
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2018 |
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2020-03-26T16:32:35Z |
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2020-03-26T16:32:35Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Communications in Computer and Information Science; Vol. 916, pp. 136-146 |
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9783030003524 |
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18650929 |
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10.1007/978-3-030-00353-1_12 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57203997650 55498635300 |
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Communications in Computer and Information Science; Vol. 916, pp. 136-146 9783030003524 18650929 10.1007/978-3-030-00353-1_12 Universidad Tecnológica de Bolívar Repositorio UTB 57203997650 55498635300 |
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eng |
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eng |
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17 October 2018 through 19 October 2018 |
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Springer Verlag |
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5th Workshop on Engineering Applications, WEA 2018 |
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Maya Duque P.A.Villegas J.G.Figueroa-Garcia J.C.Orozco-Arroyave J.R.Ballestas Ortega O.J.Villa Ramírez, José Luis2020-03-26T16:32:35Z2020-03-26T16:32:35Z2018Communications in Computer and Information Science; Vol. 916, pp. 136-146978303000352418650929https://hdl.handle.net/20.500.12585/890210.1007/978-3-030-00353-1_12Universidad Tecnológica de BolívarRepositorio UTB5720399765055498635300The refrigerators are the responsible to assure the temperature and humidity conditions for perishable products stored in it. In this sense, it is necessary to guarantee its good performance at all times in order to preserve the products. In this article We propose a failures monitoring system for refrigeration equipment using Internet of Things (IoT) technologies. The aim of the solution is to manage preventive and corrective maintenance programs and, in this way, We look for assuring the conditions of the consigned products that are distributed along an entire country. We present the conceptualization, the design of the system and the results of the proof of concept. © 2018, Springer Nature Switzerland AG.Fondo Nacional de Ciencia Tecnología e Innovación: FP44842-502-2015 Department of Science, Information Technology and Innovation, Queensland Government Departamento Administrativo de Ciencia, Tecnología e Innovación, COLCIENCIAS Ministry of Information and Communications Technology, IranAcknowledgement. The authors would like to acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiación en Internet de las Cosas (CEA-IoT) project. The authors would also like to thank all the institutions that supported this work: the Colombian Ministry for the Information and Communications Technology (Ministerio de Tecnologías de la Información y las Comunicaciones - MinTIC ) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnología e Innovación - Col-ciencias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnología y la Innovación Francisco José de Caldas (Project ID: FP44842-502-2015).Recurso electrónicoapplication/pdfengSpringer Verlaghttp://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-s2.0-85053995105&doi=10.1007%2f978-3-030-00353-1_12&partnerID=40&md5=f885d167d801c8f83b4deed3e31633605th Workshop on Engineering Applications, WEA 2018Failures Monitoring in Refrigeration Equipmentinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fAsset managementIndustrial internet of thingsRefrigeration equipmentAsset managementInternet of thingsPreventive maintenanceIndustrial internetsInternet of Things (IOT)Monitoring systemPerishable productPreventive and corrective maintenanceProof of conceptRefrigeration equipmentTemperature and humiditiesIndustrial refrigeration17 October 2018 through 19 October 2018Canizo, M., Onieva, E., Conde, A., Charramendieta, S., Trujillo, S., (2017) Real-Time Predictive Maintenance for Wind Turbines Using Big Data Frameworks, , arXiv preprint arXivChandra, A.A., Lee, S.R., A method of wsn and sensor cloud system to monitor cold chain logistics as part of the iot technology (2014) Int. J. Multimedia Ubiquit. Eng., 9 (10), pp. 145-152Dittmer, P., Veigt, M., Scholz-Reiter, B., Heidmann, N., Paul, S., The intelligent container as a part of the internet of things (2012) 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 209-214. , IEEEFremantle, P., (2015) A Reference Architecture for the Internet of Things, , WSO2 White PaperHatchett, R., The medicines refrigerator and the importance of the cold chain in the safe storage of medicines (2017) Nurs. Stand., 32 (6)Kanawaday, A., Sane, A., Machine learning for predictive maintenance of industrial machines using iot sensor data (2017) 2017 8Th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 87-90Lennon, P., Root cause analysis underscores the importance of understanding, addressing, and communicating cold chain equipment failures to improve equipment performance (2017) Vaccine, 35 (17), pp. 2198-2202Lin, J.Y., Do, T.A., Yang, B.K., Huang, Y.F., Design of refrigerated cargo tracking systems (2013) 2013 International Joint Conference on Awareness Science and Technology and Ubi-Media Computing (Icast-Umedia), pp. 400-406. , IEEEPalacio, M.G., A novel ubiquitous system to monitor medicinal cold chains in transportation (2017) 2017 12Th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1-6. , IEEEQiao, S., Zhu, H., Zheng, L., Ding, J., Intelligent refrigerator based on internet of things 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2, pp. 406-409. , https://doi.org/10.1109/CSE-EUC.2017.262Schumacher, I., Wollenstein, J., Kalbitzer, J., Low-power UHF-RFID sensor tags for a complete monitoring and traceability of the cold chain (2012) Proceedings of 2012 European Conference on Smart Objects, Systems and Technologies (Smart-Systech), pp. 1-6. , VDEShyamala, D., Swathi, D., Prasanna, J.L., Ajitha, A., Iot platform for condition monitoring of industrial motors (2017) 2017 2Nd International Conference on Communication and Electronics Systems (ICCES), pp. 260-265. , IEEESipos, R., Fradkin, D., Moerchen, F., Wang, Z., Log-based predictive maintenance (2014) Proceedings of the 20Th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1867-1876. , ACMSteinhart, J.S., Hart, S.R., Calibration curves for thermistors (1968) Deep Sea Research and Oceanographic Abstracts, 15, pp. 497-503. , ElsevierSusto, G.A., Schirru, A., Pampuri, S., McLoone, S., Beghi, A., Machine learning for predictive maintenance: a multiple classifier approach (2015) IEEE Trans. Ind. Inform., 11 (3), pp. 812-820. , https://doi.org/10.1109/TII.2014.2349359Todorovic, V., Neag, M., Lazarevic, M., On the usage of RFID tags for tracking and monitoring of shipped perishable goods (2014) Procedia Eng, 69, pp. 1345-1349Weyrich, M., Ebert, C., Reference architectures for the internet of things (2016) IEEE Softw, 33 (1), pp. 112-116Wu, M., Lu, T.J., Ling, F.Y., Sun, J., Du, H.Y., Research on the architecture of internet of things (2010) 2010 3Rd International Conference on Advanced Computer Theory and Engineering (ICACTE), 5http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8902/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8902oai:repositorio.utb.edu.co:20.500.12585/89022023-04-21 15:42:47.67Repositorio Institucional UTBrepositorioutb@utb.edu.co |