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Research On Cesium-based Virtual Reality Augmented Visualization Method For Ship Collision Risk

Posted on:2021-11-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2491306497465754Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Traditional electronic charts are mostly two-dimensional,which is not intuitive and clear for monitoring the movement status of ships,and the volume of ships is large.It is costly and inconvenient to study by physical ships.Nowadays,most of the researches on the movement of ships are carried out through the pool experiment method,which reduces the ship according to a certain proportion.In the pool test,this method is costly and generates unnecessary problems.With the integration of geographic information technology and Internet technology,the three-dimensional visualization of the web has developed rapidly.Using the Internet as a carrier and a browser as a platform,ships are virtualized using virtual reality,and experiments are performed in a virtual environment.From the perspective of ship safety monitoring in a three-dimensional environment,this paper proposes a Cesium-based virtual reality augmented visualized ship remote control method.The specific research content is as follows:1)Ship navigation information received using AIS equipment.The abnormal data noise is filtered by the first-order difference method to obtain the preliminary smoothed AIS data of the ship,and then the ship trajectory data is smoothed by the Kalman filter algorithm to optimize the AIS data information and predict the tracking of ship motion.It is known from experiments that the first-order differential denoising combined with Kalman filter can effectively predict ship trajectory data and optimize ship AIS data.2)Establish a quantitative calculation model for ship collision risk,and set the ship’s early warning monitoring range based on the ship’s social risk and personal risk acceptability.The KUNZI model is used to analyze the collision probability of the ship under the current ship state,and the early warning range of the ship collision is calculated according to the acceptability of the collision risk.3)Based on the ship trajectory data obtained by the AIS equipment and the early warning range of the coming ship colliding with the ship,the fuzzy comprehensive evaluation method is used to comprehensively analyze the factors such as collision angle,yaw angle,ship distance,ship orientation,etc.Collision risk.4)Use Cesium software as a platform to realize the construction of three-dimensional models to be used in the ship’s maneuvering control system,and generate virtual scene models and ocean models,including simulations of scene models such as lighting,sea surface flow effects,and surrounding buildings.3dmax software was used to model the 3D geometric model in the ship motion control system.5)Combined with AIS positioning,Web Gl visualization,Ajax and other technologies widely used in practical engineering,a virtual visual ship trajectory tracking based on the Cesium platform was proposed;a programming language developed using Web Gl and Java Script,a B / S-based architecture,and using Wampserver,as a server,uses tiling technology and cache download to implement the integration of terrain and image loading;3DMAX software,collada2 gltf and other tools are used to load the ship’s 3D model;asynchronous call Ajax technology is used to implement data interaction and 3D ship information Visualization;using AIS settings to collect and process data to achieve positioning and tracking of ship movements;and finally to achieve enhanced visualized ship maneuvering with virtual reality.
Keywords/Search Tags:AIS data optimization, Cesium, Ship collision, 3D visualization
PDF Full Text Request
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