船舶水尺计重应用研究

Research on Application of Draft Survey

中国是大宗散货进口国,主要进口原油、矿石、大豆等产品,大宗散、固态货物多以水尺计重方式确定货物重量。海关人员不仅面临越来越短的通关时限挑战,而且也要满足提高工作效率和数据准确率的必然要求。水尺计重包括数据采集和数据处理两部分,其中传统的数据采集如乘拖轮、爬舷梯或在甲板上放水平管等,都依赖于人的经验,存在视差或危险性大等缺点。目前,各个口岸和机构的原始数据是碎片化的,未能形成大数据发挥更大的效能。本文从无人机数据采集和AI数据处理两方面入手,改变现有低效方式,整合碎片化分布的数据,提高水尺计重检验效能,为全程监管创造条件。

China is an importer of bulk commodities,mainly imports crude oil,ore products,soybeans,etc.In order to determine the weight of the shipment,draft survey therefore plays an important role.Customs officers in China are not only faced with the challenge of a speedier clearance,but also the requirements of a higher work efficiency and data accuracy.Draft survey includes two parts,data collection and processing.The traditional modes of data collection rely more on human experiences like taking a tugboat,climbing a gangway or placing water level on deck,which are both dangerous and with visual deviation.In terms of data processing,the original data from various ports and departments is fragmented,failing to form big data with high efficiency.To begin with UAV data collection and AI data processing,this paper aims to make a change to the current mode of low-efficiency data collection.By integrating the fragment data and improving the inspection efficiency of draft survey,a whole-process supervision has been made possible.