热液硫化物现场调查所需的船舶动力定位系统给水下定位数据带来较大的噪声干扰, 而调查的现场决策与后续研究均对水下定位数据提出更高的要求。针对现有的Posidonia 6000超短基线水下定位系统, 快速有效地剔除受干扰的异常定位数据对热液硫化物调查研究具有积极的意义。本文从超短基线解算过程数据(x, y, z三维分量)入手, 根据现场作业水深、滑轮偏角, 建立异常定位数据的三维剔除模型; 根据三维各自的时间系列分布图, 采用合理的数据结构与算法, 实现对异常定位数据的交互式剔除。本研究成果能快速有效地剔除异常定位数据, 为热液硫化物调查的现场决策和各搭载传感器的后续资料研究提供更准确的水下定位数据。

 The noise from dynamic positioning system of a vessel interferes with the data of ultra short base line (USBL) underwater positioning system in hydrothermal sulfide field investigation, while in situ decision-making and continuing research demand much better underwater positioning data. It is therefore necessary to eliminate abnormal positioning data rapidly and effectively for the existing Posidonia 6000 USBL. This study takes the USBL procedure data (x, y, z) as elimination objects, sets up (x, y, z) elimination models according to field water depth and the block angle, and uses reasonable data structure and algorithm to realize interactive elimination according to maps between (x, y, z) and time series. With the models and interactive elimination, abnormal USBL positioning data can be eliminated effectively, and much better underwater positioning data can be provided for in situ decision-making of hydrothermal sulfide investigation and continuing research.