Spatial and Temporal Variability in Shipping Traffic Off San Francisco,California

Shipping traffic poses a worldwide threat to many large whale species. Spatially explicit risk assessments are increasingly being used as a tool to minimize ship-strike risk. These assessments often use static representations of shipping patterns. We used Automatic Identification System data to quantify variability in cargo shipping traffic entering and exiting San Francisco Bay, which contains some of the busiest ports in the United States, at three temporal resolutions: (1) before and after implementation of the California Air Resources Board's Ocean-Going Vessels Fuel Rule, (2) among seasons, and (3) day versus night. We used the nonparametric Mood's Median test to compare median daily distance traveled because the data were not normally distributed and the variance was not homogeneous. Our analyses show that shipping traffic off San Francisco is dynamic at both interannual and daily temporal resolutions, but that traffic was fairly consistent among the seasons considered. Our analyses emphasize the importance of economic and regulatory drivers on interannual shipping traffic patterns. Shipping traffic is expected to continue to change off the U.S. West Coast and to increase globally. These changes in shipping traffic could have implications for the risk of ships striking whales and should be included in risk assessments.     

船舶操纵模拟技术在坝区河段航线选择中的应用

利用船舶操纵模拟技术模拟分析湘江典型代表船型在长沙枢纽坝区河段的航行情况,结合该河段的通航水流情况、可能的航行冲突区情况等通航环境特点,研究不同航路上下行规则下船舶的会遇情况。结果表明:上下游锚地之间的航段,无论采用各自靠左还是各自靠右的航路规则均可;在下游桥区,采用各自靠右的航路规则更优;两种航路规则下,口门区的交叉点数量相同,对于交通流的影响是一致的,需要在调度过程中避免船舶在潜在冲突区的交叉。     

Underwater noise from maritime sources and impact on marine life

Underwater Sound is essential for marine animal functioning. Sound levels from human sources in the marine environment interfere with sound-mediated behaviour in marine animals when shipping coincides with areas or pathways that are vital for animal populations. The impact of human-generated underwater sound to ecosystem functioning and biodiversity receives increasing attention, although as yet it has not been included in the work of international organisations, such as the IMO. At MEPC 55 a document on ships striking whales was discussed; it was noted that disturbed whale hearing might hamper the recognition of a ship approaching.     

Development of ship sinking frequency model over Subsea Pipeline for Madura Strait using AIS data

It is important to study the risk posed by heavy shipping traffic to a subsea pipeline located near an industrial port area. In this context, it is essential to estimate the accident frequency in an attempt to eliminate subjectivity in the analysis process. This study proposes a model for estimating the ship sinking frequency over the subsea pipeline in the Madura Strait area. The Madura Strait is one of the busiest shipping lanes in Indonesia. Many ships pass through the fairway in the strait, and many industrial ports have been built in this area. The proposed model is developed based on Fujii’s Model, and it uses Automatic Identification System (AIS) data as a ship traffic survey. Ship sinking accidents are considered based on ship–ship collisions over the critical subsea pipeline area. The ship–ship collision locations around the subsea pipeline and the ship traffic distribution models are estimated using AIS data. The causation probability Pc is determined based on a synthetics approach using a Bayesian network modified from Det Norske Veritas’ and Hänninen’s models. The causation probability is estimated by considering factors such as human performance, weather, technical problems, and support. The proposed model is validated by comparing its result with actual accident records for the Madura Strait area. The ratio value of 0.33 is considered to be reasonably agreement (ratio value ≥0.2).     

基于BP神经网络的客滚船营运风险评估

随着客滚船运输行业的兴起,客滚船的营运安全日益受到各方面的关注。文中利用BP神经网络评价方法,由人、船、环境、管理四要素所构成的客滚船营运风险进行评估,最终确定某客滚船具体航次的营运风险。经过验证,基于BP神经网络客滚船营运风险评估方法与实际相符,为客滚船风险评估提供一条新的途径。     

Artificial forces for virtual autonomous ships with encountering situations in restricted waters

ABSTRACT

Even if the same two ships operate in the same encountering situation, the actual strategies and timing of operations may be different. Therefore, the fixed collision avoidance trajectory and ship movements are no longer suitable for simulating the real ship behaviour. This paper tries to develop an artificial intelligent system that fully sensitive to the local circumstances and command a ship in virtual environment. Based on AIS (Automatic Identification System) data, this study has developed artificial forces which help decision makings on-board independently under different situations and catching the stochastic nature of ship behaviours during collision avoidances manoeuvring. Actual ship tracks are helpful for ascertaining the parameters that contribute to artificial forces in collision avoidances, while the correlation coefficient analysis is helpful to distinguish the parameters. This study will help to develop a navigation traffic simulation to reflect the realistic ship behaviour and provide reliable information for port and waterway planning, risk analysis, and mitigation measures. The method can be used in developing algorithms for autonomous ships. The method introduced in this study lays a foundation for developing artificial forces at intersections or bends, although the model is only applicable in straight channels at the moment.     

Forecasting fishing vessel responses in coastal areas

A system for forecasting the operability of ships was developed by extending a wave forecasting system with the ship responses to the forecast sea states. The system produces 4-day wave forecasts in an implementation for the Portuguese Exclusive Economic Zone, where the vessels’ seakeeping performance is forecast, although the method presented could well be applied to any other coastal region. The proposed procedure requires the knowledge of the transfer functions for different ship speeds and headings. The computations are made for two different types of fishing vessels that currently operate in the Portuguese coast. Ship motions and derived responses are evaluated with a strip theory code and compared with the prescribed values of relevant seakeeping criteria that represent the limit conditions that still allow standard operational conditions for those vessels. For each forecast sea state at each grid point at a given time, the response spectrum is calculated and operability indexes are computed and compared with the maximum allowed values for a specific operation criterion. The results are presented as operational index maps for various areas of the Portuguese coast, and the information provided by system will help ship masters to plan the operation of their ships, namely to decide the areas to operate in anticipation. In this way, they can identify areas in which the level of operationally of their ships will be degraded due to weather conditions and avoid them.     

基于CBM的船舶设备健康管理系统

结合分析基于CBM的船舶设备健康管理系统及其国内外研究现状,设计了系统实施流程、技术和功能架构；通过开展状态监控技术、综合诊断技术以及健康评估技术的研究,进行综合状态评估，实现船舶设备健康管理。最后,从数据采集、状态评估、性能预测和维修决策支持等方面对实现系统的关键技术进行论述。基于CBM的船舶设备健康管理系统实现了对船舶设备健康状态及趋势的实时知悉,并对使用、维修活动的决策提供了辅助支持功能,从而降低设备维修费用,提高船舶设备使用效能。     

我国沿海关键水域设定分道的认识和探讨

我国沿海船舶活动频繁且通航密度大、航线设计交汇叠加、会遇局面频繁发生、船舶交通事故及险情多发,在这样的航路上,规划和设立分道是目前最有效的方式。文中就沿海关键水域设定分道通航进行了探讨,以期优化我国沿岸航行船舶航路,努力减少我国沿海的航行风险。     

基于模糊综合评判的舰载通信安全设备效能评估

舰载通信安全设备是舰艇的重要通信设备,担负着海上舰艇与各种信息平台之间重要信息的加解密及传递任务,是保障海上作战指挥的重要环节,对其进行效能分析及评估研究显得尤为重要和迫切.针对舰载通信安全设备的自身特点,通过对设备结构和功能的系统分析,建立了舰载通信安全设备的效能评估指标体系,给出了基于模糊综合评判的舰载通信安全设备效能评估方法,实例验证了模型及方法的可行性和有效性,为设备的设计、研制等提供了依据.     

船舶双电站控制技术

当前,为了提高船舶安全性能,船舶双电站设计是一种趋势。船舶双电站主要由船舶前后电站及集中的功率管理系统组成,能够实现对船舶电网的智能控制,本文主要是对船舶双电站的组成、控制原理、通讯实现等内容进行研究,为后续船舶双电站的设计提供一个思路借鉴。     

Analysis of ship drifting in a narrow channel using Automatic Identification System (AIS) data

With maritime transportation has played an important role in global economy development, ship traffic has become more congested. Therefore, ships navigate under risk conditions, and thus maritime accidents have occurred frequently. Especially, ship passing through a narrow channel is even more dangerous. Because, the ships are easy to be affected by external forces such as wind and currents that can cause ship drifts. Many latent risks are present during navigation. In order for the development of a sensible and appropriate traffic model for the safety and efficiency ship navigation, this study has focused on the actual ship behavior to understand the ship drift in the Kurushima Strait, Japan, which is one of the most dangerous routes in Japan. The analysis of ship behavior was carried out using the Automatic Identification System (AIS) data. As a result, the ships drift was understood in detail, and the latent risk was unveiled when ships pass through the narrow route. Moreover, the risk areas were obtained and visualized by the ship drift behavior analysis. The obtained results can be applied to ensure safe navigation and the development of an eco-friendly and economy efficient for ship navigation.     

Performance characterisation for risk assessment of striking ship impacts based on struck ship damaged volume

Ship collision accidents are rare events but pose huge threat to human lives, assets, and the environment. Many researchers have sought for effective models that compute ship stochastic response during collisions by considering the variability of ship collision scenario parameters. However, the existing models were limited by the capability of the collision computational models and did not completely capture collision scenario, and material and geometric uncertainties. In this paper, a novel framework to performance characterisation of ships in collision involving a variety of striking ships is developed, by characterising the structural consequences with efficient response models. A double-hull oil carrier is chosen as the struck ship to demonstrate the applicability of the proposed framework. Response surface techniques are employed to generate the most probable input design sets which are used to sample an automated finite element tool to compute the chosen structural consequences. The resulting predictor-response relationships are fitted with suitable surrogate models to probabilistically characterise the struck ship damage under collisions. As demonstrated in this paper, such models are extremely useful to reduce the computational complexity in obtaining probabilistic design measures for ship structures. The proposed probabilistic approach is also combined with available collision frequency models from literature to demonstrate the risk tolerance computations.     

乌江航道千吨级船舶K、T指数计算方法

为得到乌江航道千吨级标准船型的K、T指数计算经验公式，基于乌江航道和乌江千吨级船舶特点，提出适应于该船型的船舶操纵运动数学模型研讨小组（Ship Maneuvering Mathematical Model Group，MMG）模型，利用船模试验资料验证模型的准确性。利用该模型对一系列千吨级船舶进行模拟仿真，得到Z形操舵运动曲线，并使用野本法得到该系列船舶的无因次化K、T指数。将所得结果作为样本库，利用交叉二次回归方法，计算得到适应于乌江千吨级船舶的无因次化K、T指数计算的经验公式。在此基础上使用3条实船的试验数据验证所提经验公式的精确性。     

基于舰船受损体积的舰船撞击风险评估的性能特征（英文）

Ship collision accidents are rare events but pose huge threat to human lives, assets, and the environment. Many researchers have sought for effective models that compute ship stochastic response during collisions by considering the variability of ship collision scenario parameters. However, the existing models were limited by the capability of the collision computational models and did not completely capture collision scenario, and material and geometric uncertainties. In this paper, a novel framework to performance characterisation of ships in collision involving a variety of striking ships is developed, by characterising the structural consequences with efficient response models. A double-hull oil carrier is chosen as the struck ship to demonstrate the applicability of the proposed framework. Response surface techniques are employed to generate the most probable input design sets which are used to sample an automated finite element tool to compute the chosen structural consequences. The resulting predictor-response relationships are fitted with suitable surrogate models to probabilistically characterise the struck ship damage under collisions. As demonstrated in this paper, such models are extremely useful to reduce the computational complexity in obtaining probabilistic design measures for ship structures. The proposed probabilistic approach is also combined with available collision frequency models from literature to demonstrate the risk tolerance computations.     

基于Web的船舶信息集成管理系统的设计及实现

针对目前国内船舶各类业务信息系统独立及缺乏综合集成的问题,本文提出了一种基于Web的船舶信息集成管理系统。该系统采用统一的信息管理支撑平台,将各类数据采集及处理,实现了船舶导航气象和机舱监控数据动态采集、船务管理、公共信息管理等业务应用的综合集成,并以B/S方式进行综合信息发布。该系统已在多艘巡逻舰及海事船中得到成功应用,工程实践表明该系统具有较强的实用性和良好的可扩展性。     

船舶综合性能预报系统

从船舶航速预报、耐波性能和操纵性能预报的市场需求出发,分析了国内外船舶综合性能预报的现状,详细介绍了由上海船舶运输科学研究所承担,中国船舶工业集团第708所、中国船舶重工集团第702所参加开发的船舶综合性能预报系统(SPPS1.0)。该预报系统首次将计算机网络技术、母型船航速预报技术和优良船型水动力试验动态数据库有机结合起来,并应用耐波性理论、操纵性理论,建立起依托互联网,面向船舶行业,实时远程预报船舶性能的共性技术平台;开发的系统软件有效解决了数据库中核心技术资源的保密性和全行业共享应用的矛盾,具有良好实用性和预报指标的先进性。     

加强船舶管理,降低动力装置油耗

从船舶管理的角度出发,论述了现有船舶节能的主要途径,作为船舶管理人员不仅要保证动力装置的安全可靠地运行,还应加强船舶管理人员与公司、甲板部门和轮机部门之间的联系,以减少船舶的油耗,降低营运成本。     

A non-geometrically similar model for predicting the wake field of full-scale ships

The scale effect leads to large discrepancies between the wake fields of model-scale and actual ships, and causes differences in cavitation performance and exciting forces tests in predicting the performance of actual ships. Therefore, when test data from ship models are directly applied to predict the performance of actual ships, test results must be subjected to empirical corrections. This study proposes a method for the reverse design of the hull model. Compared to a geometrically similar hull model, the wake field generated by the modified model is closer to that of an actual ship. A non- geometrically similar model of a Korean Research Institute of Ship and Ocean Engineering (KRISO)’s container ship (KCS) was designed. Numerical simulations were performed using this model, and its results were compared with full-scale calculation results. The deformation method of getting the wake field of full-scale ships by the non-geometrically similar model is applied to the KCS successfully.