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首页> 外文会议>Asia Navigation Conference 2004 and KINPR-CIN-JIN Joint Symposium 2004 >The Identification of Human Unsafe Acts in Maritime Accidents with Grey Relational Analysis
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The Identification of Human Unsafe Acts in Maritime Accidents with Grey Relational Analysis

机译：灰色关联分析在海上事故中人为不安全行为的认定

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摘要

It is well known that human errors is involved in most of maritime accidents. For the purpose of reducing the influence of human elements on maritime activities, it is necessary to identify the human unsafe acts in those activities. The commonly used methods in identification of human unsafe acts are maritime accident statistics or case analysis. With the statistics data, people could roughly identify what kinds of unsafe acts or human errors have played active role in the accident, however, they often neglected some active unsafe acts while overestimated some mini-unsafe acts because of the inherent shortcoming of the methods. There should be some more accurate approaches for human error identification in maritime accidents. In this paper, the application of technique called grey relational analysis (GRA) into the identification of human unsafe acts is presented. GRA is used to examine the extent of connections between two digits by applying the methodology of departing and scattering measurement to actual distance measurement. Based on the statistics data of maritime accidents occurred in Chinese waters in last 1 Oyears, the relationship between the happening times of maritime accidents and that of unsafe acts are established with GRA. In accordance with the value of grey relational grade, the identified main human unsafe acts involved in maritime accidents are ranked in following orders: improper lookout, improper use of radar and equivalent equipment, error of judgment, act not in time, improper communication, improper shiphandling, use of unsafe speed, violating the rule and ignorance of good seamanship. The result shows that GRA is an effective and practical technique in improving the accuracy of human unsafe acts identification.
机译：众所周知，大多数海事事故都涉及人为错误。为了减少人为因素对海上活动的影响，有必要在这些活动中识别人为不安全行为。识别人类不安全行为的常用方法是海上事故统计或案例分析。借助统计数据，人们可以大致识别出哪些不安全行为或人为错误在事故中起了积极作用，但是由于方法固有的缺陷，他们经常忽略了一些不安全行为，而高估了一些不安全行为。在海上事故中应该有一些更准确的人为错误识别方法。本文介绍了灰色关联分析（GRA）技术在人类不安全行为识别中的应用。 GRA通过将偏离和散射测量方法应用于实际距离测量来检查两位数之间的连接程度。根据近十年来中国海域发生的海上事故统计数据，利用GRA建立了海上事故发生时间与不安全行为发生时间的关系。根据灰色关联等级的值，已识别出的与海上事故有关的主要人类不安全行为按以下顺序排列：监视不当，雷达和等效设备使用不当，判断错误，不及时采取行动，通信不当，不当行为船舶装卸，使用不安全的速度，违反规则和对良好航海技术的无知。结果表明，GRA是提高人的不安全行为识别准确率的有效方法。

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