多传感器融合技术在船舶液位监测中的应用

Application research of multi-sensor fusion technology in ship liquid level monitoring

目前国内外许多船舶采用了液位监控系统,极大地提高了船舶的自动化程度。为了保证液位监测的准确性与可靠性,针对环境干扰易导致液位测量结果出现偏差的问题,构建新的液位监控系统,对液位测量的精度进行分析和改进。考虑液位监控系统中存在一步随机时滞的情况,对传感器测量液位的过程进行数学建模,基于卡尔曼滤波和矩阵加权融合算法,提出一种新的多传感器融合算法。通过仿真实验,表明多传感器滤波融合算法能够使液位测量更精确、更稳定,且易于故障监测和分离。

At present,some domestic ships have adopted liquid level monitoring systems,which greatly improves the degree of automation of ships.In order to ensure the accuracy and reliability of the liquid level monitoring system,the accuracy of the liquid level measurement is analyzed and improved in view of the deviations of the measurement result caused by the interference of the environment.Considering the existence of one-step random delay in the liquid level monitoring system,mathematical modeling is carried out for the process of measuring the liquid level with the sensor,based on Kalman filtering and matrix weighted fusion algorithm,a new multi-sensor fusion algorithm is proposed.The simulation results show that the multi-sensor filter fusion algorithm can make the liquid level measurement more accurate and stable,and is easy to monitor and separate faults.