| 基于AIS数据的船舶排放估测模型与实船验证 |
| 投稿时间：2019-01-21 修订日期：2019-05-08 点此下载全文 |
| 引用本文：王直欢,王维勋,施欣.基于AIS数据的船舶排放估测模型与实船验证[J].上海海事大学学报,2019,40(4):12-16. |
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| 基金项目: 国家自然科学基金（41505001） |
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| 中文摘要:为提升船舶能耗和排放估测的准确性和灵活性，提出面向船舶自动识别系统（automatic identification system, AIS）大数据的完全自下而上的船舶能耗和排放估测新方法。该方法视船舶为一种基于船舶航迹的线排放源，在构建船舶网格化轨迹模型的基础上，考虑每个网格航段的持续时间和发动机负载，实现船舶能耗和排放的精细化建模，统一船舶排放总量和空间分布计算。实船应用表明，该方法可提供更加准确的船舶能耗估计，并可灵活计算各种航行状态、船队规模和时空尺度的能耗和排放清单。 |
| 中文关键词:船舶自动识别系统（AIS） 船舶轨迹 船舶排放估测 |
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| AIS data-based ship emission estimation model and real ship verification |
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| Abstract: To improve accuracy and flexibility of ship energy consumption and emission estimation, a new and completely bottom up method suitable for automatic identification system (AIS) big data is proposed to estimate the ship energy consumption and emission. The method regards a ship as a line emission source based on the ship trajectory. On the basis of building the ship meshing trajectory model, the duration and the engine load of each grid are taken into consideration, the fine modeling of the ship energy consumption and emission is realized, and the total emission and their space distribution are unified. The real ship application shows that, the method can provide more accurate estimation of ship energy consumption, and can flexibly calculate the ship energy consumption and emission list of various navigation states, fleet sizes and space time scales. |
| keywords:automatic identification system (AIS) ship trajectory ship emission estimation |
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