Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing
The complex multi-stage process of meat processing encompasses critical phases, including slaughtering, cooling, cutting, packaging, warehousing, and logistics. The quality and nutritional value of the final meat product are significantly influenced by each processing link. To address the major chal...
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| Format: | Article |
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MDPI AG
2025-01-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/15/2/179 |
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| author | Jun Liu Chenggang Zhou Haoyuan Wei Jie Pi Daoying Wang |
| author_facet | Jun Liu Chenggang Zhou Haoyuan Wei Jie Pi Daoying Wang |
| author_sort | Jun Liu |
| collection | DOAJ |
| description | The complex multi-stage process of meat processing encompasses critical phases, including slaughtering, cooling, cutting, packaging, warehousing, and logistics. The quality and nutritional value of the final meat product are significantly influenced by each processing link. To address the major challenges in the meat processing industry, including device heterogeneity, model deficiencies, rapidly increasing demands for data analysis, and limitations of cloud computing, this study proposes an Internet of Things (IoT) architecture. This architecture is centered around an intelligently decoupled gateway design and edge-cloud collaborative intelligent meat inspection. Pork freshness detection is used as an example. In this paper, a high-precision and lightweight pork freshness detection model is developed by optimizing the MobileNetV3 model with Efficient Channel Attention (ECA). The experimental results indicate that the model’s accuracy on the test set is 99.8%, with a loss function value of 0.019. Building upon these results, this paper presents an experimental platform for real-time pork freshness detection, implemented by deploying the model on an intelligent gateway. The platform demonstrates stable performance with peak model memory usage under 600 MB, average CPU utilization below 20%, and gateway internal response times not exceeding 100 ms. |
| format | Article |
| id | doaj-art-170630bf1d254bfcaeb6121c30bf924e |
| institution | Kabale University |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-170630bf1d254bfcaeb6121c30bf924e2025-01-24T13:16:01ZengMDPI AGAgriculture2077-04722025-01-0115217910.3390/agriculture15020179Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat ProcessingJun Liu0Chenggang Zhou1Haoyuan Wei2Jie Pi3Daoying Wang4College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, ChinaGuangxi Key Laboratory of Digital Infrastructure, Guangxi Zhuang Autonomous Region Information Center, Nanning 530000, ChinaInstitute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaInstitute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, ChinaThe complex multi-stage process of meat processing encompasses critical phases, including slaughtering, cooling, cutting, packaging, warehousing, and logistics. The quality and nutritional value of the final meat product are significantly influenced by each processing link. To address the major challenges in the meat processing industry, including device heterogeneity, model deficiencies, rapidly increasing demands for data analysis, and limitations of cloud computing, this study proposes an Internet of Things (IoT) architecture. This architecture is centered around an intelligently decoupled gateway design and edge-cloud collaborative intelligent meat inspection. Pork freshness detection is used as an example. In this paper, a high-precision and lightweight pork freshness detection model is developed by optimizing the MobileNetV3 model with Efficient Channel Attention (ECA). The experimental results indicate that the model’s accuracy on the test set is 99.8%, with a loss function value of 0.019. Building upon these results, this paper presents an experimental platform for real-time pork freshness detection, implemented by deploying the model on an intelligent gateway. The platform demonstrates stable performance with peak model memory usage under 600 MB, average CPU utilization below 20%, and gateway internal response times not exceeding 100 ms.https://www.mdpi.com/2077-0472/15/2/179meat processingintelligent gatewaysInternet of Thingsedge computingdecoupling collaborative design |
| spellingShingle | Jun Liu Chenggang Zhou Haoyuan Wei Jie Pi Daoying Wang Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing Agriculture meat processing intelligent gateways Internet of Things edge computing decoupling collaborative design |
| title | Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing |
| title_full | Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing |
| title_fullStr | Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing |
| title_full_unstemmed | Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing |
| title_short | Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing |
| title_sort | decoupling and collaboration an intelligent gateway based internet of things system architecture for meat processing |
| topic | meat processing intelligent gateways Internet of Things edge computing decoupling collaborative design |
| url | https://www.mdpi.com/2077-0472/15/2/179 |
| work_keys_str_mv | AT junliu decouplingandcollaborationanintelligentgatewaybasedinternetofthingssystemarchitectureformeatprocessing AT chenggangzhou decouplingandcollaborationanintelligentgatewaybasedinternetofthingssystemarchitectureformeatprocessing AT haoyuanwei decouplingandcollaborationanintelligentgatewaybasedinternetofthingssystemarchitectureformeatprocessing AT jiepi decouplingandcollaborationanintelligentgatewaybasedinternetofthingssystemarchitectureformeatprocessing AT daoyingwang decouplingandcollaborationanintelligentgatewaybasedinternetofthingssystemarchitectureformeatprocessing |