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作 者:樊哲 万雨龙 臧兴杰 FAN Zhe;WAN Yu-long;ZANG Xing-jie(Quality and Technical Supervision Standards and Coding of Zhongshan City Guangdong Province,Zhongshan 528400 China)
机构地区:[1]广东省中山市质量技术监督标准与编码所,广东中山528400
出 处:《自动化技术与应用》2024年第7期117-120,共4页Techniques of Automation and Applications
基 金:2019年广东省软科学研究计划项目(2019B101001023);广东省自然科学基金面上项目(2020A1515010689)。
摘 要:家电安全风险受到多种指标影响,为了提高智慧家电安全风险识别准确性,设计基于数据挖掘的智慧家电安全风险识别系统。首先设计智慧家电安全风险识别指标体系,并采集相关的智慧家电安全风险数据,然后采用数据挖掘技术建立智慧家电风险识别模型,根据风险识别结果确定智慧家电安全风险等级,最后测试结果表明,相对其他识别系统,所提系统大幅度提升了智慧家电安全风险识别效果,同时加快了智慧家电安全风险识别速度,具有更高的实际应用价值。The security risk of home appliances is affected by many indicators.In order to improve the accuracy of security risk identification of smart appliances,a security risk identification system of smart appliances based on data mining is designed.First,the security risk identification index system of smart home appliances is designed,and relevant security risk data of smart home appliances are collected.Then,the risk identification model of smart home appliances is established by using data mining technology,and the security risk level of smart home appliances is determined according to the risk identification results.Finally,the test results show that compared with other identification systems.At the same time,it speeds up the identification of security risks of smart home appliances and has higher practical application value.
分 类 号:TP311.13[自动化与计算机技术—计算机软件与理论] TP277[自动化与计算机技术—计算机科学与技术]
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