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基于超融合数据挖掘的云收费系统辅助核验技术优化

Optimization of cloud charging system assisted verification technology based on hyper-converged data mining
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摘要 为解决常规的高速公路云收费系统辅助稽查算法导致稽查正确率不高问题。提出应用超融合云平台的高速公路云收费系统辅助稽查算法,建立稽查数据仓库,对数据进行采集与整合,使用SMOTE算法,对车辆载重源数据进行转换处理,对转换后车辆信息参数进行回归计算,得到预处理后的车辆称重数据,通过超融合云平台,将数据传输至高速公路云收费系统,建立辅助稽查的指标,并确定收费参数,从而完成对高速公路云收费系统的辅助稽查。实验结果表明,使用所设计的算法,对高速公路云收费系统进行辅助稽查,稽查准确率较高,具有较好的应用价值。 In order to solve the problem of low audit accuracy caused by the auxiliary audit algorithm of the conventional highway cloud toll collection system.A highway cloud toll system auxiliary inspection algorithm using a hyper fusion cloud platform was proposed.An inspection data warehouse was established,data was collected and integrated,using the SMOTE algorithm,the vehicle load source data was converted and processed,the converted vehicle information parameters were regressed to calculate the preprocessed vehicle weighing data,and the data was transmitted to the highway cloud toll collection system through the hyper-converged cloud platform,and the indicators of auxiliary inspection were established,and the toll parameters were determined,so as to complete the auxiliary inspection of the highway cloud toll collection system.The experimental results showed that the designed algorithm was used to assist the inspection of the highway cloud toll collection system,and the audit accuracy was high and had good application value.
作者 杜慧宇 禄铠铣 田润东 李银 张乘蜜 DU Huiyu;LU Kaixian;TIAN Rundong;LI Yin;ZHANG Chengmi(Yunnan Yuntong Shulian Technology Co.,Ltd.,Kunming 650103,China)
出处 《粘接》 CAS 2024年第2期151-154,共4页 Adhesion
关键词 超融合云平台 高速公路云收费系统 辅助稽查算法 SMOTE算法 车辆载重数据 hyperfusion cloud platform expressway cloud toll system auxiliary inspection algorithm SMOTE algorithm load bearing system
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