{"title":"基于协同传感跟踪识别的肉鸽质量安全追溯算法","authors":"Peihao Liu, Kaijun Mai, Hao Zhang, Shilong Qiu","doi":"10.1109/ICSP51882.2021.9408732","DOIUrl":null,"url":null,"abstract":"In order to improve the ability of quality and safety management and process supervision for meat pigeons, a design method of quality and safety traceability system for meat pigeons based on collaborative sensing tracking and identification was proposed. Firstly, the cooperative sensing RFID tag identification model is used to collect information in the process of meat pigeon quality and safety traceability, and the cooperative sensing tracking and RFID tag identification technology and Internet of Things technology are used to control the data transmission and reception of meat pigeon quality and safety traceability. A multidimensional sensor parameter fusion model is designed to track and identify meat pigeon quality and safety, and the distribution characteristics of meat pigeon quality and safety are extracted. The fuzzy clustering method is used to classify the statistical information of quality and safety information of meat pigeons, and the combination of forward tracing and reverse tracing is used to realize the fusion of multi-dimensional sensor parameters of quality and safety tracing sources of meat pigeons, and realize the optimization design of quality and safety tracing algorithm of meat pigeons. The simulation results show that the information recognition ability of the quality and safety traceability of meat pigeons is better, and the real-time and accuracy of the quality and safety traceability of meat pigeons are improved.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Traceability algorithm of meat pigeon quality and safety based on cooperative sensing tracking and recognition\",\"authors\":\"Peihao Liu, Kaijun Mai, Hao Zhang, Shilong Qiu\",\"doi\":\"10.1109/ICSP51882.2021.9408732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the ability of quality and safety management and process supervision for meat pigeons, a design method of quality and safety traceability system for meat pigeons based on collaborative sensing tracking and identification was proposed. Firstly, the cooperative sensing RFID tag identification model is used to collect information in the process of meat pigeon quality and safety traceability, and the cooperative sensing tracking and RFID tag identification technology and Internet of Things technology are used to control the data transmission and reception of meat pigeon quality and safety traceability. A multidimensional sensor parameter fusion model is designed to track and identify meat pigeon quality and safety, and the distribution characteristics of meat pigeon quality and safety are extracted. The fuzzy clustering method is used to classify the statistical information of quality and safety information of meat pigeons, and the combination of forward tracing and reverse tracing is used to realize the fusion of multi-dimensional sensor parameters of quality and safety tracing sources of meat pigeons, and realize the optimization design of quality and safety tracing algorithm of meat pigeons. The simulation results show that the information recognition ability of the quality and safety traceability of meat pigeons is better, and the real-time and accuracy of the quality and safety traceability of meat pigeons are improved.\",\"PeriodicalId\":117159,\"journal\":{\"name\":\"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSP51882.2021.9408732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSP51882.2021.9408732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traceability algorithm of meat pigeon quality and safety based on cooperative sensing tracking and recognition
In order to improve the ability of quality and safety management and process supervision for meat pigeons, a design method of quality and safety traceability system for meat pigeons based on collaborative sensing tracking and identification was proposed. Firstly, the cooperative sensing RFID tag identification model is used to collect information in the process of meat pigeon quality and safety traceability, and the cooperative sensing tracking and RFID tag identification technology and Internet of Things technology are used to control the data transmission and reception of meat pigeon quality and safety traceability. A multidimensional sensor parameter fusion model is designed to track and identify meat pigeon quality and safety, and the distribution characteristics of meat pigeon quality and safety are extracted. The fuzzy clustering method is used to classify the statistical information of quality and safety information of meat pigeons, and the combination of forward tracing and reverse tracing is used to realize the fusion of multi-dimensional sensor parameters of quality and safety tracing sources of meat pigeons, and realize the optimization design of quality and safety tracing algorithm of meat pigeons. The simulation results show that the information recognition ability of the quality and safety traceability of meat pigeons is better, and the real-time and accuracy of the quality and safety traceability of meat pigeons are improved.