Ship navigation data high-efficiency visual analysis method in cloud environment

Abstract

The invention relates to a ship navigation data high-efficiency visual analysis method in a cloud environment. The method includes the following steps: 1, designing an HBase-oriented cloud storage mode; 2, establishing a ship transportation visual analysis body, and designing an HBase-based OWL body storage mode; 3, designing a cloud service description model for ship navigation visual analysis features; 4, describing user visual analysis function requirements and QoS requirements; 5, selecting visual analysis cloud services according with the user function requirements and the QoS requirements, designing mapping functions within the cloud services and among the cloud services, and dynamically constructing a visual analysis cloud service optimized combination model; 6, establishing a ship navigation visual analysis global process model and a local process model to realize static optimized division of processes; and 7, constructing a multi-target optimizing model, completing dynamic adjustments of local processes, and realizing visual analysis of ship navigation data. The visual analysis process implementation efficiency for ship navigation data is improved effectively.

Description

technical field [0001] The invention relates to the technical field of ship navigation data analysis, in particular to a visual analysis method for ship navigation data in a cloud environment. Background technique [0002] At present, water traffic is becoming increasingly busy and the traffic flow density is increasing. Ships are the main body of water traffic. With the development of large-scale, specialization and high-speed, the navigation environment is more complicated, and the factors affecting the safety of ship navigation are increasing. , Possibility of potential safety hazards and traffic accidents is also increasing, posing a serious threat to the national economy and people's property. Therefore, for ships to sail safely and avoid risks, the analysis of ship navigation data is helpful for water traffic safety management. [0003] With the rapid development of the Internet and the Internet of Things technology, data collection is more convenient. Only one ship in...

AI Technical Summary

Problems solved by technology

At present, there are some workflow-based visualization systems, but none of them consider the characteristics of the diversity of data visualization in the field of ship traffic, and at the same time, they do not effectively use cloud services for flexible combination and distributed operation. When dealing with massive ship navigation data , seriously affecting the efficiency, interactivity and real-time performance of visual analysis

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