CS-based method to determine minimum sampling frequency

Metro construction´s risk analysis and progress forecasting require quality construction monitoring data. Because of poor sampling practice in Wuhan subway construction´s data collection, most of the sampled data is manually gained without consistency due to the field conditions. How to determine the minimum sampling frequency and keep the original data recovery without any distortion, there is no standard specification. As a result, the monitoring solution is decided by experience and is also accompanied by arbitrariness. This paper provides a new method to determine the minimum sampling frequency based on compressive sensing (CS), and the results provide a basis for the safety monitoring standards optimization.