基于XML的有害藻华监测数据交换机制及灾害预警聚类方法的研究-海洋预报

基于XML的有害藻华监测数据交换机制及灾害预警聚类方法的研究

单位：山东大学控制科学与工程学院山东济南 250061

分类号：P714

出版年·卷·期（页码）：2008·25·第二期（64-73）

摘要：

有害藻华监测数据具有复杂性、数据来源的多源性、数据平台异构、数据格式不规范等特点。而XML具有可扩展性、简单性、开放性、互操作性及支持多国语言等优势。基于此,运用XML技术建立了有害藻华监测数据交换机制模型HABML,有效解决了有害藻华监测数据的管理、传输及交换等问题,为有害藻华的高效预警奠定了基础。同时,将对FCM聚类分析算法进行改进,引入到有害藻华灾害预警中,直观地反映了海洋要素样本的分布规律,为有害藻华的灾害预警提供了一种新的思路。

HAB monitoring data have the features of complexity,multi-driven data sources,different data platforms,nonstandard data formats,etc.XML has the advantages of expansibility,simplicity,openness,interoperability,support for the multinational language,etc.Based on the reasons above,XML is used to build the monitoring data exchange mechanism of HAB.The problems of HAB monitoring data management,transmission and exchange are effectively solved,which lays the foundation for the disaster warning of HAB.Meanwhile,FCM cluster analysis algorithm is improved and introduced into the disaster predicting of HAB,which visually reflects the distribution of samples of marine elements,and this provides a new idea for the disaster predicting.

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