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桥梁健康监测系统中有大量传感器产生的信号,在采集与分析有关时域与频域信号时,需要考虑抗混叠滤波。一种传统的方法是使用模拟抗混叠滤波器,随着计算机技术的发展,数字滤波技术也有很大发展。文章根据奈奎斯特采样定理对目前系统中普遍使用的模拟滤波和数字滤波方法进行讨论,并在安庆大桥健康监测系统中使用两种方法进行比较,结果表明信号在进行模拟/数字转化前使用模拟抗混叠滤波器是较好的解决方法。
Bridge health monitoring system has a large number of sensor-generated signals, the acquisition and analysis of time-domain and frequency-domain signals need to consider anti-aliasing filtering. A traditional method is to use analog anti-aliasing filters. With the development of computer technology, digital filtering technology has also been greatly developed. Based on the Nyquist sampling theorem, the article discusses the commonly used methods of analog filtering and digital filtering in the current system and compares the two methods in the Anqing Bridge Health Monitoring System. The results show that the signal is used before analog / digital conversion Analog anti-aliasing filter is a better solution.