The invention discloses an intelligent navigation mark monitoring method and system based on big data, and relates to the technical field of navigation channel navigation marks. Obtaining mutually associated navigation mark individuals and navigation mark individuals related to navigation mark warning; obtaining navigation mark individuals with relatively large mark fluctuation; the navigation mark individuals with large warning fluctuation are obtained; obtaining an abnormal navigation mark set; and constructing a virtual navigation mark at the abnormal navigation mark, and verifying the validity of the abnormal navigation mark. According to the method, on the basis of all navigation mark working data, through big data analysis and driving, associated navigation mark individuals and fluctuating navigation mark individuals are obtained, abnormal navigation marks are obtained, the abnormal navigation marks are effectively verified, a large number of navigation marks can be monitored at the same time, effective recognition and early warning are carried out according to abnormal conditions when the navigation marks are abnormal, and the navigation mark monitoring accuracy is improved. The safety and reliability of navigation mark work are improved, and the probability of ship navigation dangerous accidents is effectively reduced.
本发明公开了一种基于大数据的智能航标监测方法及系统,涉及航道航标技术领域,方法包括:获取航标数据;得到相互关联的航标个体和航标示警相关的航标个体;得到标识波动较大的航标个体;得到示警波动较大的航标个体;得到异常航标集合;在异常航标处构建虚拟航标,校验异常航标有效性。本发明以所有航标工作数据为基础,通过大数据分析和驱动,得到关联的航标个体和波动的航标个体,得到异常航标,并对异常航标进行有效校验,可以同时监测大量航标,在航标出现异常时根据异常情形进行有效识别预警,增加了航标工作安全可靠性,有效降低船只航行危险事故概率。
Intelligent navigation mark monitoring method and system based on big data
一种基于大数据的智能航标监测方法及系统
2024-08-16
Patent
Electronic Resource
Chinese
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