海洋物性监测系统的海洋大数据质量控制

Chun-li Chen, Jie Zhou, L. Xiong, Pei-Qiong Zhao, Fan Qi, Xiao-feng Li, Xin-Rou Li, Yong Chen
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引用次数: 0

摘要

为了充分利用海洋,我们必须对它有足够的了解。海洋物性参数监测仪是由中国科技部支持研制的,用于实时获取海洋物性参数,如温度、湿度、压力、降雨量、风速、风向、太阳辐射、水深、盐度、电导率等数据。海洋物性监测数据综合智能服务软件平台,用于对这些数据进行实时采集、存储、历史数据分析、综合显示等工作。作为集成智能服务软件平台的一部分,本文提出了一种综合运用气象行业标准检验、最小二乘多项式拟合、多元回归等技术的改进大数据质量控制方法,从数据检验、校正、重构、质量评价等方面提高实时或历史数据的正确高效利用。已有的历史数据证明了该方法的有效性。
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Quality Control of Marine Big Data for Marine Physical Property Monitoring System
To make good use of the ocean, we must know enough about it. Supported by the Ministry of science and technology of China, the marine physical parameters monitor is developed to obtain real-time marine physical parameters such as temperature, humidity, pressure, rainfall, wind speed, wind direction, solar radiation, water depth, salinity, conductivity and other data. The integrated intelligent service software platform for marine physical property monitoring data is used for real-time collection, storage, historical data analysis, integrated display and other work of these data. As a part of the integrated intelligent service software platform, an improved big data quality control method which comprehensively uses the meteorological industry standards test, least square polynomial fitting, multiple regression and other technologies is proposed in this paper to improve the correct and efficient use of these real-time or historical data in terms of data inspection, correction, reconstruction and quality evaluation, etc. The existing historical data prove the effectiveness of this method.
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