基于协同传感跟踪识别的肉鸽质量安全追溯算法

Peihao Liu, Kaijun Mai, Hao Zhang, Shilong Qiu
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引用次数: 0

摘要

为了提高肉鸽质量安全管理和过程监管能力,提出了一种基于协同传感跟踪识别的肉鸽质量安全追溯系统设计方法。首先,利用协同传感RFID标签识别模型采集肉鸽质量安全溯源过程中的信息,利用协同传感跟踪和RFID标签识别技术以及物联网技术控制肉鸽质量安全溯源的数据传输和接收。设计多维传感器参数融合模型对肉鸽质量安全进行跟踪识别,提取肉鸽质量安全的分布特征。采用模糊聚类方法对肉鸽质量安全信息统计信息进行分类,采用正向跟踪与反向跟踪相结合的方法实现肉鸽质量安全溯源多维传感器参数的融合,实现肉鸽质量安全溯源算法的优化设计。仿真结果表明,肉鸽质量安全溯源信息识别能力较好,提高了肉鸽质量安全溯源的实时性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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