Wi-freshness: research on CSI-based pork freshness detecting system

Chao NIU; Weidong YANG; Pengming HU; Xiangshang GAO; Erbo SHEN

doi:10.11959/j.issn.2096-3750.2023.00332

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Wi-freshness: research on CSI-based pork freshness detecting system

Theory and Technology | 更新时间：2024-08-16

- Wi-freshness: research on CSI-based pork freshness detecting system
- Chinese Journal on Internet of Things Vol. 7, Issue 2, Pages: 143-152(2023)
- 作者机构：
  
  1. 河南工业大学信息科学与工程学院，河南郑州 450001
  2. 河南省粮食光电探测与控制重点实验室（河南工业大学），河南郑州 450001
  3. 粮食信息处理与控制教育部重点实验室（河南工业大学），河南郑州 450001
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2023.00332
  CLC： TP39
- Online First：2023-06，
  
  Published：30 June 2023
- 稿件说明：
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Chao NIU, Weidong YANG, Pengming HU, et al. Wi-freshness: research on CSI-based pork freshness detecting system[J]. Chinese Journal on Internet of Things, 2023, 7(2): 143-152.
DOI：

Chao NIU, Weidong YANG, Pengming HU, et al. Wi-freshness: research on CSI-based pork freshness detecting system[J]. Chinese Journal on Internet of Things, 2023, 7(2): 143-152. DOI： 10.11959/j.issn.2096-3750.2023.00332.

摘要

有效、快速地评价猪肉新鲜度对猪肉品质监测具有重要意义。然而，传统的感官评价方法过于主观，理化分析又耗时过长且具有破坏性。虽然射频信号被用于定位、材料识别、生命体征监测，但在肉类新鲜度检测方面并未受到重视。提出了一种实时、无损、低成本的基于信道状态信息（CSI

channel state information）的猪肉新鲜度检测系统Wi-freshness。该系统基于泛在网络（商用Wi-Fi）部署和实施，是物联网在生鲜农产品领域一个新的应用。Wi-freshness包括CSI数据感知、数据预处理、检测建模和新鲜度检测4个模块。考虑Wi-freshness需要处理的数据特征值不多，以及对预测的实时性要求较高的特点，提出一种基于宽度学习系统（BLS

broad learning system）的检测模型。实验结果表明，Wi-freshness系统能达到93%以上的检测准确率。

Abstract

Effective and rapid detection of pork freshness is important for pork quality.However

traditional sensory evaluation methods are too subjective

physical and chemical analysis methods are time-consuming and destructive.Recently

radio frequency is widely used in the field of location

material identification and human body monitoring

while

the meat freshness detection is ignored.A real-time

non-destructive and low-cost system for pork freshness detecting based on channel state information (CSI) was proposed.It is a new application of internet of things in the field of fresh agricultural products based on ubiquitous network (commercial Wi-Fi).The proposed Wi-freshness consists of four modules: CSI data sensing

data pre-processing

detection modelling and freshness detection.Considering the need for Wi-freshness data characteristic value processing is not much

and high demand for real-time prediction characteristics

a detection model based broad learning system (BLS) was proposed.Experiment shows that Wi-freshness system can achieve more than 93% detection accuracy.

关键词

Keywords

references

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