Inland waterway navigable ship superelevation detection early warning system and working method thereof

Abstract

The present invention discloses an inland waterway navigable ship superelevation detection early warning system and a working method thereof. The system comprises a ship image imaging module, an on-site image remote sending module, a ship image receiving module, a VTS control center, an environment information detection module, an environment information sending / receiving module, a bridge headroom height sending / receiving module, a bridge headroom height measurement module, a calibration data module, an AIS system module, a wireless sending / receiving module and a wireless hand-held law enforcement terminal module. The inland waterway navigable ship superelevation detection early warning system and the working method thereof take a computer vision theory as basis, take the inland waterway navigable ships as the application background, and utilize the AIS devices to obtain the position information of an navigable environment, thereby being simple in system realization. The inland waterway navigable ship superelevation detection early warning system and the working method thereof realize the on-shore nondestructive test by utilizing the space information of the calibration objects and adopting an image processing algorithm, enable a ship body not to be damaged and the manpower resources to be saved, and are high in automation degree. The inland waterway navigable ship superelevation detection early warning system and the working method thereof compensate an imaging error by a coordinate system conversion calibration method, thereby being more accurate in ship height measurement.

Description

technical field [0001] The invention relates to computer machine vision, background calibration and projection altimetry technology, ship super-height detection technology, ship super-height alarm technology, in particular to an inland river navigable ship super-height detection and early warning system and its working method. Background technique [0002] There are many inland waterways in my country, mainly in the Yangtze River, Pearl River, Huaihe River, and Heilongjiang River systems. Due to the influence of geography, climate and human factors, the navigation environment in the water area of ​​the Inner River Bridge area is very complicated. The accompanying inland river traffic problems are also increasing day by day. In recent years, bridge-ship collision accidents have occurred frequently, some of which are caused by the super height of the ship. Therefore, in inland waterway navigation, ultra-high detection is very necessary. At present, there are mainly the foll...

AI Technical Summary

Problems solved by technology

However, the ship is in a process of changing environment during the navigation process. In the image processing, due to the existence of water waves, after the image processing algorithm, the finally detected water-ship boundary line is difficult to guarantee that it is the real water-ship boundary line. , the probability of false detection obtained is still very high; the existence of these problems has brought great risks to the safety of navigation

Images