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Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID
To solve the inspection problems in cotton storage, as well as the need for environmental monitoring in the process of modern cotton bale storage, an intelligent inspection and temperature and humidity intelligent monitoring system based on RFID cotton bale was developed by adopting RFID (Radio Freq...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927612/ https://www.ncbi.nlm.nih.gov/pubmed/35296688 http://dx.doi.org/10.1038/s41598-022-08229-6 |
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author | Zhang, Weipeng Zhao, Bo Yang, Qizhi Zhou, Liming Jiang, Hanlu Niu, Kang Ding, Jian |
author_facet | Zhang, Weipeng Zhao, Bo Yang, Qizhi Zhou, Liming Jiang, Hanlu Niu, Kang Ding, Jian |
author_sort | Zhang, Weipeng |
collection | PubMed |
description | To solve the inspection problems in cotton storage, as well as the need for environmental monitoring in the process of modern cotton bale storage, an intelligent inspection and temperature and humidity intelligent monitoring system based on RFID cotton bale was developed by adopting RFID (Radio Frequency Identification) technology, wireless temperature and humidity real-time monitoring technology and handheld terminal intelligent inspection technology. The system was composed of RFID positioning inspection module and temperature and humidity real-time monitoring and transmission module. The artificial neural network (ANN) based on the particle swarm optimization (PSO) algorithm was used to process the monitoring data of the system by Gaussian filtering, and an accurate classification model of RSSI and label position was established. The test results showed that: Through the comparative analysis of the RFID indoor positioning algorithm, the positioning error of the PSO-ANN algorithm was small. In the actual cotton bale warehouse test, the relative error of positioning and monitoring for RFID cotton bale intelligent inspection and monitoring system was less than 6.7%, which effectively improved the working efficiency of inspection personnel and the security of cotton bale storage. The relative error of temperature and humidity was less than 8% and less than 7%, which could display the temperature and humidity information in real time and meet the real-time demand. This study improved the management personnel's effective positioning and inspection of the cotton bale, prevented the loss of cotton bale, reduced the deterioration probability of cotton bale, and effectively improved the storage management level of the cotton bale. It was of great practical significance to realize the networking, automation, and intelligence of cotton bale storage management. |
format | Online Article Text |
id | pubmed-8927612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89276122022-03-21 Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID Zhang, Weipeng Zhao, Bo Yang, Qizhi Zhou, Liming Jiang, Hanlu Niu, Kang Ding, Jian Sci Rep Article To solve the inspection problems in cotton storage, as well as the need for environmental monitoring in the process of modern cotton bale storage, an intelligent inspection and temperature and humidity intelligent monitoring system based on RFID cotton bale was developed by adopting RFID (Radio Frequency Identification) technology, wireless temperature and humidity real-time monitoring technology and handheld terminal intelligent inspection technology. The system was composed of RFID positioning inspection module and temperature and humidity real-time monitoring and transmission module. The artificial neural network (ANN) based on the particle swarm optimization (PSO) algorithm was used to process the monitoring data of the system by Gaussian filtering, and an accurate classification model of RSSI and label position was established. The test results showed that: Through the comparative analysis of the RFID indoor positioning algorithm, the positioning error of the PSO-ANN algorithm was small. In the actual cotton bale warehouse test, the relative error of positioning and monitoring for RFID cotton bale intelligent inspection and monitoring system was less than 6.7%, which effectively improved the working efficiency of inspection personnel and the security of cotton bale storage. The relative error of temperature and humidity was less than 8% and less than 7%, which could display the temperature and humidity information in real time and meet the real-time demand. This study improved the management personnel's effective positioning and inspection of the cotton bale, prevented the loss of cotton bale, reduced the deterioration probability of cotton bale, and effectively improved the storage management level of the cotton bale. It was of great practical significance to realize the networking, automation, and intelligence of cotton bale storage management. Nature Publishing Group UK 2022-03-16 /pmc/articles/PMC8927612/ /pubmed/35296688 http://dx.doi.org/10.1038/s41598-022-08229-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Weipeng Zhao, Bo Yang, Qizhi Zhou, Liming Jiang, Hanlu Niu, Kang Ding, Jian Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID |
title | Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID |
title_full | Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID |
title_fullStr | Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID |
title_full_unstemmed | Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID |
title_short | Design and test of intelligent inspection and monitoring system for cotton bale storage based on RFID |
title_sort | design and test of intelligent inspection and monitoring system for cotton bale storage based on rfid |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927612/ https://www.ncbi.nlm.nih.gov/pubmed/35296688 http://dx.doi.org/10.1038/s41598-022-08229-6 |
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