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作 者:赵河雄 刘颖才 王淇 朱丽云 Zhao Hexiong;Liu Yingcai;Wang Qi;Zhu Liyun(Gansu Transportation Research Institute Group Co.,Ltd.,Lanzhou Gansu 730000,China)
机构地区:[1]甘肃省交通科学研究院集团有限公司,甘肃兰州730000
出 处:《电气自动化》2023年第3期74-77,共4页Electrical Automation
基 金:甘肃省科技计划资助项目(17YF1FA116)。
摘 要:为了解决甘肃省河西区高速公路建设过程中环境监测困难的问题,通过融入大数据技术设计高速公路环境监测系统。采用最大功率点跟踪监测技术中的小控制单元和功率换算的方式设计定点跟踪结构;利用码分多址传输模式将监测设备与大数据库相互联系,缩短数据传输时间;对传统谱聚类算法进行改进;应用VMWare Player 16软件模拟监测过程,提高了监测能力。试验结果表明,设计所采用的公路监测系统的监测范围最大为86.7 m2,预警时间为30.16 s,系统结果准确率为97.1%。In order to solve the problem of difficult environmental monitoring during the construction of expressway in Hexi District,Gansu Province,the expressway environmental monitoring system was designed by integrating big data technology.The fixed-point tracking structure was designed by using the small control unit and power conversion derived from the maximum power point tracking monitoring technology;the code division multiple access transmission mode was applied to connect the monitoring equipment with the large database for shortening the data transmission time;the traditional spectral clustering algorithm was improved;VMWare Player 16 software was employed to simulate the monitoring process and improve the monitoring ability.The experimental results show that the maximum monitoring range of the highway monitoring system used in the design is 86.7 m 2,the warning time is 30.16 s,and the accuracy of the system results is 97.1%.
关 键 词:高速公路环境监测 大数据技术 最大功率点跟踪监测技术 码分多址传输模式 改进传统谱聚类算法
分 类 号:U415[交通运输工程—道路与铁道工程]
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