Intelligent system of temperature monitoring in refrigerated containers
| dc.citation.epage | 22 | |
| dc.citation.issue | 2 | |
| dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
| dc.citation.spage | 17 | |
| dc.contributor.affiliation | Lviv Polytechnic National University | |
| dc.contributor.author | Vlakh-Vyhrynovska, Halyna | |
| dc.contributor.author | Dzelendziak, Ulyana | |
| dc.contributor.author | Ivanyuk, Oleh | |
| dc.contributor.author | Vyhrynovskiy, Mishel | |
| dc.coverage.placename | Львів | |
| dc.coverage.placename | Lviv | |
| dc.date.accessioned | 2024-03-11T08:54:05Z | |
| dc.date.available | 2024-03-11T08:54:05Z | |
| dc.date.created | 2023-02-28 | |
| dc.date.issued | 2023-02-28 | |
| dc.description.abstract | The work emphasizes the importance of maintaining a consistent temperature while transporting temperaturesensitive goods in the logistics cold chain. Refrigerated transportation plays a critical role in this chain, and the safe and efficient transport of perishable goods, such as food or pharmaceuticals, heavily relies on maintaining appropriate temperature levels. Realtime temperature monitoring and timely response to deviations are vital to prevent spoilage and financial losses. This paper presents an intelligent temperature monitoring system that employs a WiFi-enabled IoT platform NodeMCU-ESP32 to collect realtime temperature data, which is then transmitted to the AWS cloud platform. The system uses machine learning algorithms to predict temperature deviations and sends alerts to relevant stakeholders via the Telegram messaging service. The system architecture comprises AWS services, including API Gateway, IAM, Lambda, DynamoDB, and SNS, offering a scalable, secure, and costeffective temperature monitoring solution. | |
| dc.format.extent | 17-22 | |
| dc.format.pages | 6 | |
| dc.identifier.citation | Intelligent system of temperature monitoring in refrigerated containers / Halyna Vlakh-Vyhrynovska, Ulyana Dzelendziak, Oleh Ivanyuk, Mishel Vyhrynovskiy // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 2. — P. 17–22. | |
| dc.identifier.citationen | Intelligent system of temperature monitoring in refrigerated containers / Halyna Vlakh-Vyhrynovska, Ulyana Dzelendziak, Oleh Ivanyuk, Mishel Vyhrynovskiy // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 2. — P. 17–22. | |
| dc.identifier.doi | doi.org/10.23939/istcmtm2023.02.017 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/61427 | |
| dc.language.iso | en | |
| dc.publisher | Видавництво Львівської політехніки | |
| dc.publisher | Lviv Politechnic Publishing House | |
| dc.relation.ispartof | Вимірювальна техніка та метрологія, 2 (84), 2023 | |
| dc.relation.ispartof | Measuring Equipment and Metrology, 2 (84), 2023 | |
| dc.relation.references | [1] Christoph Heinbach, PascalMeier & Oliver Thomas. Designing a shared freight service intelligence platform for transport stakeholders using mobile telematics. Information Systems and e-Business Management, No. 20, 2022, pp. 847–888. https://doi.org/10.1007/s10257-022-00572-502. | |
| dc.relation.references | [2] Bob Castelein, Harry Geerlings, Ron Van Duin. The reefer container market and academic research: A review study. Journal of Cleaner Production, No. 256, 2020, 120654. https://doi.org/10.1016/j.jclepro. | |
| dc.relation.references | [3] Peiyao Tang; Octavian Adrian Postolache; Yangyang Hao; Meisu Zhong. 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2019. https://doi:10.1109/ATEE.2019.8724950. | |
| dc.relation.references | [4] Jean-Paul Rodrigue. Fifth Edition. The Geography of Transport Systems, 2020, pp. 456. https://doi.org/10.4324/9780429346323. | |
| dc.relation.references | [5] SimonVolpert, Philipp Eichhammer, FlorianHeld, Thomas Huffe, Hans P.Reiser, JörgDomaschka. The view on systems monitoring and its requirements from future Cloud-to-Thing applications and infrastructures. Future Generation Computer Systems, no. 141, 2023, pp. 243–257. https://doi.org/10.1016/j.future.2022.11.024. | |
| dc.relation.references | [6] Sabrine Khriji, Yahia Benbelgacem, Rym Cheour, Dhouha El Houssaini, Olfa Kanoun. Design and implementation of a cloud-based event-driven architecture for real-time data processing in wireless sensor networks. The Journal of Supercomputing. No. 78, 2022, pp. 3374–3401. https://doi:10.1007/s11227-021-03955-6. | |
| dc.relation.references | [7] C. Marinescu. Cloud Computing (Third edition). Theory and Practice, chapter 2: The cloud ecosystem. 2023, pp. 13–40. https://doi.org/10.1016/B978-0-32-385277-7.00009-9. | |
| dc.relation.references | [8] [Hoa Tran-Dang, Nicolas Krommenacker, Patrick Charpentier &Dong-Seong Kim. The Internet of Things for Logistics: Perspectives, Application Review, and Challenges. IETE Technical Review. Vol. 39(4), Issue 1 2020, pp. 93–121. https://doi.org/10.1080/02564602.2020.1827308. | |
| dc.relation.references | [9] Guie Li. Development of cold chain logistics transportation system based on 5G network and Internet of things system. Microprocessors and Microsystems. No. 80, 2021, 103565. https://doi.org/10.1016/j.micpro.2020.103565. | |
| dc.relation.references | [10] Oqaidi Mohammed, Ait Abdelouahid Rachida, Debauche Olivier, Marzak Abdelaziz. An open-source and low-cost Smart Auditorium. Procedia Computer Science, No. 191, 2021, pp. 518–523. [Online]. Available: https://doi.org/10.1016/j.procs.2021.07.076. | |
| dc.relation.references | [11] AmazonWeb Services: Architecture of APIGateway. Inc, 2023. https://docs.aws.amazon.com/apigateway/latest/developerguide/welcome.html#api-gateway-overview-aws-backbone. | |
| dc.relation.references | [12] Amazon Web Services: AWS Identity and Access Management. Inc, 2023. https://docs.aws.amazon.com/IAM/latest/UserGuide/introduction.html. | |
| dc.relation.references | [13] Amazon Web Services: AWS Lambda Documentation. Inc, 2023. https://docs.aws.amazon.com/lambda/?icmpid=docs_homepage_compute. | |
| dc.relation.references | [14] Amazon Web Services: Programming with DynamoDB and the AWS SDKs. Inc, 2023. https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.html. | |
| dc.relation.references | [15] Amazon Web Services: Amazon SNS event sources and destinations. Inc, 2023. https://docs.aws.amazon.com/sns/latest/dg/sns-event-sources-and-destinations.html. | |
| dc.relation.referencesen | [1] Christoph Heinbach, PascalMeier & Oliver Thomas. Designing a shared freight service intelligence platform for transport stakeholders using mobile telematics. Information Systems and e-Business Management, No. 20, 2022, pp. 847–888. https://doi.org/10.1007/s10257-022-00572-502. | |
| dc.relation.referencesen | [2] Bob Castelein, Harry Geerlings, Ron Van Duin. The reefer container market and academic research: A review study. Journal of Cleaner Production, No. 256, 2020, 120654. https://doi.org/10.1016/j.jclepro. | |
| dc.relation.referencesen | [3] Peiyao Tang; Octavian Adrian Postolache; Yangyang Hao; Meisu Zhong. 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2019. https://doi:10.1109/ATEE.2019.8724950. | |
| dc.relation.referencesen | [4] Jean-Paul Rodrigue. Fifth Edition. The Geography of Transport Systems, 2020, pp. 456. https://doi.org/10.4324/9780429346323. | |
| dc.relation.referencesen | [5] SimonVolpert, Philipp Eichhammer, FlorianHeld, Thomas Huffe, Hans P.Reiser, JörgDomaschka. The view on systems monitoring and its requirements from future Cloud-to-Thing applications and infrastructures. Future Generation Computer Systems, no. 141, 2023, pp. 243–257. https://doi.org/10.1016/j.future.2022.11.024. | |
| dc.relation.referencesen | [6] Sabrine Khriji, Yahia Benbelgacem, Rym Cheour, Dhouha El Houssaini, Olfa Kanoun. Design and implementation of a cloud-based event-driven architecture for real-time data processing in wireless sensor networks. The Journal of Supercomputing. No. 78, 2022, pp. 3374–3401. https://doi:10.1007/s11227-021-03955-6. | |
| dc.relation.referencesen | [7] C. Marinescu. Cloud Computing (Third edition). Theory and Practice, chapter 2: The cloud ecosystem. 2023, pp. 13–40. https://doi.org/10.1016/B978-0-32-385277-7.00009-9. | |
| dc.relation.referencesen | [8] [Hoa Tran-Dang, Nicolas Krommenacker, Patrick Charpentier &Dong-Seong Kim. The Internet of Things for Logistics: Perspectives, Application Review, and Challenges. IETE Technical Review. Vol. 39(4), Issue 1 2020, pp. 93–121. https://doi.org/10.1080/02564602.2020.1827308. | |
| dc.relation.referencesen | [9] Guie Li. Development of cold chain logistics transportation system based on 5G network and Internet of things system. Microprocessors and Microsystems. No. 80, 2021, 103565. https://doi.org/10.1016/j.micpro.2020.103565. | |
| dc.relation.referencesen | [10] Oqaidi Mohammed, Ait Abdelouahid Rachida, Debauche Olivier, Marzak Abdelaziz. An open-source and low-cost Smart Auditorium. Procedia Computer Science, No. 191, 2021, pp. 518–523. [Online]. Available: https://doi.org/10.1016/j.procs.2021.07.076. | |
| dc.relation.referencesen | [11] AmazonWeb Services: Architecture of APIGateway. Inc, 2023. https://docs.aws.amazon.com/apigateway/latest/developerguide/welcome.html#api-gateway-overview-aws-backbone. | |
| dc.relation.referencesen | [12] Amazon Web Services: AWS Identity and Access Management. Inc, 2023. https://docs.aws.amazon.com/IAM/latest/UserGuide/introduction.html. | |
| dc.relation.referencesen | [13] Amazon Web Services: AWS Lambda Documentation. Inc, 2023. https://docs.aws.amazon.com/lambda/?icmpid=docs_homepage_compute. | |
| dc.relation.referencesen | [14] Amazon Web Services: Programming with DynamoDB and the AWS SDKs. Inc, 2023. https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.html. | |
| dc.relation.referencesen | [15] Amazon Web Services: Amazon SNS event sources and destinations. Inc, 2023. https://docs.aws.amazon.com/sns/latest/dg/sns-event-sources-and-destinations.html. | |
| dc.relation.uri | https://doi.org/10.1007/s10257-022-00572-502 | |
| dc.relation.uri | https://doi.org/10.1016/j.jclepro | |
| dc.relation.uri | https://doi:10.1109/ATEE.2019.8724950 | |
| dc.relation.uri | https://doi.org/10.4324/9780429346323 | |
| dc.relation.uri | https://doi.org/10.1016/j.future.2022.11.024 | |
| dc.relation.uri | https://doi:10.1007/s11227-021-03955-6 | |
| dc.relation.uri | https://doi.org/10.1016/B978-0-32-385277-7.00009-9 | |
| dc.relation.uri | https://doi.org/10.1080/02564602.2020.1827308 | |
| dc.relation.uri | https://doi.org/10.1016/j.micpro.2020.103565 | |
| dc.relation.uri | https://doi.org/10.1016/j.procs.2021.07.076 | |
| dc.relation.uri | https://docs.aws.amazon.com/apigateway/latest/developerguide/welcome.html#api-gateway-overview-aws-backbone | |
| dc.relation.uri | https://docs.aws.amazon.com/IAM/latest/UserGuide/introduction.html | |
| dc.relation.uri | https://docs.aws.amazon.com/lambda/?icmpid=docs_homepage_compute | |
| dc.relation.uri | https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.html | |
| dc.relation.uri | https://docs.aws.amazon.com/sns/latest/dg/sns-event-sources-and-destinations.html | |
| dc.rights.holder | © Національний університет “Львівська політехніка”, 2023 | |
| dc.subject | Temperature monitoring | |
| dc.subject | Refrigerated container | |
| dc.subject | API gateway | |
| dc.subject | IAM | |
| dc.subject | Lambda | |
| dc.subject | DynamoDB | |
| dc.subject | SNS | |
| dc.subject | Telegram | |
| dc.title | Intelligent system of temperature monitoring in refrigerated containers | |
| dc.type | Article |
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