摘要
结合内河载货船舶的特点,研究了船舶载重与船舶燃油消耗、主机功率以及航速之间的关系,分析了内河船舶载重量与船舶航行摩擦阻力之间内在联系。通过对船舶燃油消耗、船舶航速、发动机转速、行驶里程等实时数据进行处理,建立了基于神经网络的内河船舶载重状态识别系统,试验结果表明,该方法可以有效识别行驶中的内河船舶载重状态。
According to the characteristics of inland river ships, this paper studied the relationship between ship load, fuel consumption, engine power and ship speed. Also, it analyzed the proportion of the total load of inland ships on the total resistance of ship navigation. Through real-time data processing on the fuel consumption, ship speed, engine speed and mileage, a load state identification system for inland vessels based on neural network has been established. Experimental results show that this method can effectively identify the load state of the inland ship in driving.
出处
《仪表技术》
2017年第6期38-40,共3页
Instrumentation Technology
关键词
内河船舶
载重
状态识别
inland river ships
load
state identification
