Analysis of dam safety monitoring data based on multi-sensor data fusion theory
Dongjian Zheng · 2004
Data acquired by monitoring sensors in dam often can be mutually verified by each other, and the data of different sensor often changes in the same or similar way. The data acquired by different sensors at the same time is normalized and is regarded as data acquired form repeated observation of a sensor under same working condition; then, by use of routine statistical theory in the dam safety monitoring expert system, the data with abnormal change or sensor with abnormal trend change can be detected; thusly, trouble hidden in dam can be found out in time; and reliable evidence is afforded to ensure the safety of dam.