基于多波束測深聲納的船舶吃水自動(dòng)檢測技術(shù)研究及實(shí)現(xiàn)
[Abstract]:With the increase of the traffic volume of the Yangtze River year by year, the illegal behavior of ships overdraft has also increased year by year. In order to pursue the personal interests, some illegal elements do not carry out cargo loading in accordance with the regulations, which makes the draught of ships seriously exceed the shipping standards. It is easy to cause ship grounding and damage of waterway, disturb the order of waterway, and even affect the development of economy. The key to control the phenomenon of ship overdraft lies in the effective detection of ship draught. In this paper, the requirement of ship draft detection in Yangtze River Basin is analyzed, a ship draft detection method based on multi-beam sounding sonar is proposed, and the ship draft detection technology based on multi-beam sounding sonar is studied. The preliminary realization and field experiment are carried out. The relevant technology can be used for real-time draught detection of ships, which does not affect the normal navigation of ships and meets the requirements of detection accuracy. It is of great significance to ensure the navigation safety of the Yangtze River waterway. The main research work is as follows: (1) through the analysis of the environmental conditions of the Yangtze River basin, including the characteristics of ships and waterways, the overall requirements of the automatic detection platform for ship drains are put forward; By analyzing the detection method and principle of multi-beam sounding sonar, a ship draft real-time detection platform and system framework based on multi-beam sounding sonar is designed. (2) the data transmission mode of multi-beam bathymetric sonar equipment is studied. The packet format and transmission protocol are used to design the data transmission and data analysis scheme to obtain the real-time data of multi-beam sounding sonar. (3) the preprocessing method of multi-beam sounding data is studied. It includes the correction and compensation of multi-beam bathymetric data and the filtering of abnormal data. The correction and compensation of environmental factors (attitude and sound velocity) to multi-beam bathymetric data are studied. The characteristics of multi-beam bathymetric anomaly data are analyzed. The anomaly data is divided into discrete abnormal data and continuous abnormal data, and the discrete abnormal data is processed by single frame and multi-frame processing method. The continuous anomaly data is processed from the point of view of statistical single frame maximum draught, and the experimental analysis is carried out through the measured data and simulation data. (4) the dynamic identification method and process of ship draft in the Yangtze River Basin are studied. Including start and end identification of draft detection, single ship draft recognition and parallel ship draft recognition. In this paper, a method of multi-parallel ship data segmentation is proposed. The detection accuracy and error range of the ship draft identification algorithm are verified by field experiments. (5) the application demonstration software of ship draft detection based on multi-beam bathymetric sonar is preliminarily realized, including data communication and data analysis. Data back visit and ship draught data display and detection functions. The preliminary experiments show that the technology of the system is feasible, which lays a solid foundation for the follow-up related technical research and engineering implementation.
【學(xué)位授予單位】:武漢理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U693.4
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