MateFi:基于WiFi设备的材料识别系统  

MateFi: Material Identification System Based on WiFi Equipment

作　　者：戴泽淼[1,2] DAI Zemiao(School of Information Technology,Anhui Vocational College of Defense Technology,Liu'an 237011,China;Schol of Computer and Information,Hefei University of Technology,Hefei 230601,China)

机构地区：[1]安徽国防科技职业学院信息技术学院,安徽六安237011 [2]合肥工业大学计算机与信息学院,合肥230601

出　　处：《吉林大学学报（信息科学版）》2023年第2期299-305,共7页Journal of Jilin University（Information Science Edition）

基　　金：国家重点研发计划基金资助项目(2018YFB0803403);安徽省2021年质量工程基金资助项目(2021tszy015);安徽省2020年高校优秀青年骨干教师国内访问研修基金资助项目(gxgnfx2020172)。

摘　　要：由于目前的材料识别方法X射线技术依赖专用设备传输高频信号且放射性强,超声波技术设备笨重且携带不便,基于射频技术主要依赖成本较高的RFID(Radio Frequency Identification Devices)设备。因此,为满足日常家居和办公场景使用,提出基于WiFi(Wireless Fidelity)实现材料识别的MateFi系统,同时建立一个新的理论模型,能更具体地描述电磁波在穿透不同材料时的衰减状态。进而,利用该理论模型结合材料本身特征与机器学习技术,搭建了鲁棒性更强、精确性更高的材料识别系统。针对MateFi系统在真实场景下的性能,进行了测试和验证。实验结果表明,MateFi可以识别出木板、纸板、镍、薄木片、铁、钛6种不同的材料,平均识别准确率可到达96.70%,说明该系统具有精准的材料识别性能。Current material identification methods are mainly based on X-ray technology, ultrasound technology and radio frequency technology. However, X-ray technology relies on special equipment to transmit high frequency signals and is highly radioactive;ultrasonic technology equipment is bulky and inconvenient to carry;and RF(Radio Frequency) technology mainly relies on costly RFID(Radio Frequency Identification Devices). In order to meet the daily use in home and office scenarios, MateFi system for material identification is proposed based on WiFi(Wireless Fidelity), aiming to establish a new theoretical model to describe more specifically the attenuation state of electromagnetic waves as they penetrate different materials. The theoretical model is used to build a more robust and accurate material recognition system by combining material characteristics with machine learning techniques. The performance of the MateFi system is tested and validated in real-life scenarios. The experiments show that MateFi can recognise six different materials: wood, cardboard, nickel, thin wood, iron and titanium, with an average recognition accuracy of 96.70%, demonstrating the system's ability to identify materials accurately.

关 键 词：信道状态信息 无线保真(WiFi) 材料识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]