Affiliation:
1. College of Engineering Technical, Jilin Agricultural University, Changchun 130118, Jilin, China
Abstract
Navigation control system is an important navigation building of inland-river in China. Because of its special semiclosed structure, when the efficiency of the mutation control system is low, the ship system cannot identify the ship, which may endanger the life safety of the crew and cause water traffic accidents. Based on catastrophe control and intelligent sensor, this paper studies the spatial distribution and fluctuation mechanism of risk in the ship traffic system, constructs a catastrophe control model, and combines with intelligent sensors to identify the spatial distribution and fluctuation of risk in ship traffic. In this paper, a typical navigation control system of inland-river is selected as the research object, and the three-dimensional calculation model of the ship traffic system is established. The numerical simulation of catastrophe control and intelligent sensor in ship traffic systems under different ventilation conditions and the navigation water level is carried out by using computational fluid dynamics method, and the spatial distribution and fluctuation mechanism of ship traffic systems are analyzed. The results show that the maximum variation of sensitivity decreases monotonously with the decrease of the plate angle. When the other design parameters of the sensor remain unchanged, the maximum variation of sensitivity reaches the minimum when the plate angle is 10° which indicates that a small plate angle is helpful to reduce the eccentricity error. When the pitch increases from 56.32 mm to 98 mm, the maximum change of sensitivity decreases fastest, and the decrease trend of the maximum change of sensitivity slows down. In the range of 380 mm pitch, the maximum change of sensitivity decreases monotonously with the increase of pitch, which indicates that increasing the properly pitch is helpful to reduce the eccentricity error.
Funder
Education Department of Jilin Province
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
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