作　　者： (栾坤祥）; (马秀冬）;

机构地区： 国家海洋局第一海洋研究所

出　　处： 《舰船科学技术》 2017年第16期187-189,共3页

摘　　要： 由于海洋水文环境较为复杂,因此本文利用智能水下机器人对该段水域进行采样,从而为水域重金属污染状况的检测提供基础。首先,在选定区域利用水下机器人对该江段水域实行样品采集,采用紫外可见分光光度法结合光度仪构建对重金属多组分微量元素浓度测试分析的技术,为实现多种重金属元素的同时检测,选择敏感且合适的螯合显色试剂,并对实验数据进行采集;以紫外可见分光光度仪采集的多组实验数据为基础,对光度仪测量的响应信号变化状态进行观察,利用卡尔曼滤波算法与仪器实现联机并分析系统中待测重金属元素的浓度。实验证明,对海洋水域重金属污染状况的检测为水质监测管理提供可靠数据。 The complex ocean hydrological environment, so in this paper, we use intelligent underwater robot for this water samples, which provides the basis for water heavy metal pollution condition of detection. First, in use of underwater robot for the selected area Jiang Duan water sample collection, uv-vis spectrophotometry combined with optical apparatus was used to construct multi-component trace element concentrations of heavy metals by test and analysis technology, to achieve a variety of heavy metals detection at the same time, choose sensitive and suitable chelating chromogenic reagents,and the experimental data acquisition; By uv-vis spectrophotometer instrument acquisition of multiple sets of experimental data as the foundation, the luminosity meter to measure the response signal of change state observation, by using kalman filter algorithm and instruments to realize on-line and analysis to measure the concentration of heavy metal elements in the system. The experiment proves that the detection of heavy metal pollution in Marine waters provides reliable data for water quality monitoring and management.

关 键 词： 智能水下机器人 海洋 重金属检测