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基于云存储的海量海洋监测数据平台设计
引用本文:赵芳云,张明富.基于云存储的海量海洋监测数据平台设计[J].舰船科学技术,2016(7):143-148.
作者姓名:赵芳云  张明富
作者单位:贵州工程应用技术学院信息工程学院,贵州毕节,551700
基金项目:贵州省科学技术基金资助项目(黔科合LH字[2014]7536号);西南大学基本科研业务费专项资金资助项目(XDJK2014C109)
摘    要:海洋监测数据规模较大,当前平台处理数据能力较低,无法有效处理海量海洋监测数据,不能满足监控实时性的要求,为此,设计一种基于云存储的海量海洋监测数据平台,给出了平台的总体结构,主要包括海洋数据监测子系统和云存储子系统。针对海洋数据监测子系统,详细分析了数据采集卡、传感器、AD7606芯片的设计过程,传感器将得到的海洋监测数据发送至数据采集卡中,采集卡将结果传输至 AD7076芯片中,对数据进行处理,将处理后的结果存储至云存储子系统中。针对云存储子系统,给出了其详细架构和工作流程,设计了关键的实现代码。实验结果表明,所设计系统具有较高的运行效率,且采集的海洋数据较真实,监测结果可靠。

关 键 词:云存储  海量  监测数据  平台

Based on monitoring data of vast ocean cloud storage platform design
Abstract:The large scale marine monitoring data, the current platform data processing ability is low, cannot effectively handle huge amounts of marine monitoring data, cannot satisfy the requirement of monitoring real time, therefore, we design a massive marine monitoring data based on cloud storage platform, presented the general structure of the platform, mainly including marine data monitoring subsystem and the cloud storage subsystem. In view of the ocean data monitoring subsystem, detailed analysis of the data acquisition card, sensors, AD7606 chip design process, marine monitoring data of the sensor will be sent to the data acquisition card, the acquisition card to transmit the results to AD7076 chip to deal with data, the processed results stored to cloud storage subsystem. For the cloud storage subsystem, gives the detailed structure and working process, design the key implementation code. Experimental results show that the designed system has high efficiency, and ocean data is real, reliable monitoring results.
Keywords:cloud storage  mass  monitoring data  platform
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