摘要
为了提高船舶航行的安全性,构建船舶航行安全自动评估系统,提出基于大数据分析的船舶航行安全自动评估系统设计方法。采用航向陀螺仪、三轴磁力计等敏感传感器进行船舶航行姿态参数采集,根据采集的船舶航行姿态数据进行大数据特征重组,建立船舶航行姿态参量大数据库,设计数据访问调度和参数融合算法,进行船舶航行安全大数据信息调度和特征分析,进而实现船舶航行安全自动评估。在嵌入式ARM环境下进行系统的软件开发,实现系统优化设计。仿真结果表明,采用该系统进行船舶航行安全自动评估的准确性较好,船舶航行安全信息大数据访问调度的实时性较高。
In order to improve the safety of ship navigation, the automatic evaluation system of ship navigation safety is constructed, and the design method of automatic evaluation system of ship navigation safety based on big data analysis is put forward. The heading gyroscope is adopted. The sensitive sensors such as triaxial magnetometer are used to collect ship navigation attitude parameters. According to the collected ship navigation attitude data big data characteristics are reorganized and a large database of ship navigation attitude parameters is established. Data access scheduling and parameter fusion algorithms are designed for ship navigation safety big data information scheduling and feature analysis. Finally, the automatic evaluation of ship navigation safety is realized. The software development of the system is carried out under the embedded ARM environment, and the system optimization design is realized. The simulation results show that. The accuracy of automatic evaluation of ship navigation safety by this system is good, and the real-time performance of big data access scheduling of ship navigation safety information is high.
出处
《舰船科学技术》
北大核心
2018年第3X期31-33,共3页
Ship Science and Technology
关键词
大数据分析
船舶
航行安全
自动评估系统
big data analysis
ship
navigation safety
automatic assessment system
