A bridge active anti-ship collision monitoring and early warning system

Abstract

The present invention provides a neural network-based anti-ship collision monitoring system, which is used to track the ship trajectories of all ships in the target channel so as to provide an active anti-ship collision warning for bridges in the target channel, which is characterized in that it includes: a plurality of A monitoring video acquisition device and a trajectory tracking device, wherein the monitoring video acquisition device has: a video acquisition unit and an acquisition side communication unit; the trajectory tracking device has a neural network storage unit, which stores a neural network model; a target ship acquisition unit, which is used to acquire The ship position of the target ship; the coordinate acquisition part obtains the ship coordinate value according to the ship position; the ship track acquisition part obtains the ship track and the navigation speed of the ship according to the ship coordinate value; the ship track prediction part obtains the predicted track according to the ship track and the navigation speed , Probability distribution of predicted speed, bridge arrival time and passing position; the ship collision warning department obtains the collision probability according to the bridge arriving time and passing position and issues an alarm.

Description

technical field [0001] The invention relates to the field of structural safety and navigation safety monitoring, in particular to a bridge active anti-ship collision monitoring and early warning system Background technique [0002] The ship collision accident has a great impact on the safe transportation of bridges and roads, people's life and property, and even the development of social economy. With the continuous economic growth and the increasing demand for transportation facilities, the number of bridges in my country is increasing. The construction of large bridges can relieve traffic pressure and promote land transportation. However, for water ships, bridges are artificial obstacles. When ships sail under the bridge, there is a danger of colliding with bridge piers or bridge span structures, which poses a threat to the safety of bridges and ships, and at the same time poses a threat to the safety of waterways and land traffic. normal functioning is also a threat. ...

AI Technical Summary

Problems solved by technology

Most of the existing video monitoring methods for bridge collision avoidance rely on target detection technology based on background subtraction, with poor stability and non-intelligent shortcomings, and key technologies such as target navigation status recognition and track tracking prediction have not been paid attention to.

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