基于蚁群聚类算法的二维码扫码支付设备故障自动识别研究  

Research on automatic fault identification of two-dimensional code scanning payment equipment based on ant colony clustering algorithm

作　　者：王丽红[1] WANG Lihong(Yantai Institute of Automotive Engineering,Yantai Shandong 265500,China)

机构地区：[1]烟台汽车工程职业学院,山东烟台265500

出　　处：《自动化与仪器仪表》2020年第12期25-28,共4页Automation & Instrumentation

基　　金：山东省教育科学研究:基于项目化教学的会计基础与电算化课程整合设计的研究(No.16SC125)。

摘　　要：鉴于二维码扫码支付设备的复杂性以及不同故障的多样性,提出一种基于蚁群聚类算法的二维码扫码支付设备故障自动识别方法。需引入高斯径向基核函数,将特征数据映射至高维空间,在高维空间中完成对特征矩阵的主元分析,获取有效的特征提取结果。分析了蚁群算法基本原理,依据二维码扫码支付在出现故障时和正常运行状态下特征存在差异的特点,将故障自动识别转换成对设备运行时输出与状态特征的聚类问题,把蚁群聚类算法应用于故障自动识别中,将所有故障样本数据当成蚂蚁所需的访问地点,针对所有数据样本产生有序链接,通过归并概率值将不同样本数据间的链接断开,在算法达到最大迭代次数或最大归并概率值的情况下,完成迭代,获取最优聚类结果,完成故障自动识别。经验证,所提方法可保证很高的识别精度。in view of the complexity of two-dimensional code scanning payment equipment and the diversity of different faults,an automatic fault identification method of two-dimensional code scanning payment equipment based on ant colony clustering algorithm is proposed.It is necessary to introduce the Gaussian radial basis function to map the feature data to the high-dimensional space,and complete the principal component analysis of the feature matrix in the high-dimensional space to obtain the effective feature extraction results.The basic principle of ant colony algorithm is analyzed.According to the characteristics of two-dimensional code scanning payment in fault and normal operation,the automatic fault identification is transformed into the clustering problem of the output and state characteristics of equipment operation.The ant colony clustering algorithm is applied to the automatic fault identification,and all the fault sample data is regarded as the access location required by the ant There are data samples to generate orderly links,and the links between different sample data are disconnected through the merging probability value.When the algorithm reaches the maximum number of iterations or the maximum merging probability value,the iteration is completed,the optimal clustering results are obtained,and the automatic fault identification is completed.It is verified that the proposed method can ensure high recognition accuracy.

关 键 词：蚁群聚类算法 二维码 扫码支付 设备 故障识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]