摘要
船舶异常数据识别系统可以帮助管理人员了解当前船舶安全状态。为提高船舶异常数据识别结果,构建基于无线局域网的船舶异常数据识别系统。首先分析船舶异常数据识别的原理,提出当前船舶异常数据识别系统存在的局限性,然后通过无线局域网收集船舶异常数据,并对船舶异常数据识别进行相应的处理,最后构建船舶异常数据识别模型,并应用于船舶异常数据识别系统中。测试结果表明,本文系统的船舶异常数据识别正确率,误识率、漏识率均远远小于当前其他船舶异常数据识别系统,可以保证船舶的正常工作。
The ship abnormal data recognition system can help managers understand the current ship safety status, in order to improve the ship abnormal data recognition results, a ship abnormal data recognition system based on wireless local area network is constructed. Firstly, the principle of ship abnormal data recognition is analyzed, and the limitations of current ship abnormal data recognition system are pointed out. Then, the abnormal data of ship are collected by wireless local area network, and the abnormal data of ship are identified and processed accordingly. Finally, the abnormal data recognition model of ship is constructed and applied to the abnormal data of ship recognition system. The test results show that the correct rate, error rate and missing rate of ship abnormal data recognition in this system are far less than those of other ship abnormal data recognition systems, which can ensure the normal operation of the ship.
出处
《舰船科学技术》
北大核心
2018年第11X期145-147,共3页
Ship Science and Technology
关键词
船舶异常数据
识别系统
无线局域网
误识率
识别正确率
ship abnormal data
identification system
WLAN
false recognition rate
recognition accuracy rate