|Table of Contents|

Quick approaching assistant decision system of distress target on sea surface(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2012年04期
Page:
83-92
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
Quick approaching assistant decision system of distress target on sea surface
Author(s):
FAN Zhong-zhou1 LIU Da-gang1 LI Kang1 LUO Hong-hong2 WU Zhao-lin1
1. School of Navigation, Dalian Maritime University, Dalian 116026, Liaoning, China; 2. Institute of Scientific and Technical Information of China, Beijing 100038, China
Keywords:
traffic safety assistant decision risk analysis fuzzy evaluation distress target rescue ship heavy weather optimal route
PACS:
U698
DOI:
-
Abstract:
Under heavy weather condition, in order to make rescue ship approach distress target and implement assistance while the self-security of rescue ship could be guaranteed, the method of expert consult survey was used, and the stall situations, navigation leeways and risk grade membership degrees of brunt rescue ships in Beihai Rescue Bureau were obtained. Based on fuzzy mathematics and risk analysis theory, the risk evaluation model of rescue ship was set up, the functional requirements such as the integrated display of heavy weather information and the optimal route platform of rescue ship based on electronic chart were carried out, the evaluation process of route risk was optimized, and the quick approaching assistant decision system of distress target on sea surface under heavy weather condition was designed. Simulation result indicates that though BHJ196 is the nearest rescue ship to distress target, the route risk is too large, and the membership degree of Ⅲ-grade risk is 1.0. While approaching distress target by No.2 route, BHJ108 will encounter 8-grade crosswind, the membership degree of Ⅲ-grade risk is 0.5, stall situation is significant, and navigation time is too large. The safety of No.1 route for BHJ113 is better, and navigation time is the least, so the No.1 route of BHJ113 is the optimal route. The simulation result is consistent with the actual result, so the proposed system is effective. 5 tabs, 9 figs, 24 refs.

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Last Update: 2012-08-30