大坝安全监测中的数据融合算法研究

Research on Data Fusion Algorithms in Dam Safety Monitoring

多传感器网络中采集的数据存在一定程度的误差,影响了大坝安全监测的可靠性。对此,将数据融合算法应用到大坝安全监测系统中,通过算术平均值和分批估计的方法,对多个传感器的测量值进行融合,得到更接近于真实值的数据,从而作出及时正确的评判和决策,指导大坝的安全运行。对水库水位的监测验证了该方法的可行性。

Certain error exists in the data collected from multi-sensor network that impacts the reliability of dam safety monitoring.Thus,data fusion algorithm is applied in such monitoring system.Through arithmetic average and batch estimation method,data from multiple sensors are merged to obtain data closer to the real values,to promptly judge and make decision for safety operation of the dam.The feasibility of the method is verified in dam water level monitoring.