The Fast Moving Wireless Sensing Technology For Bridge Detection Based On Compressive Sensing Theory

Structural health monitoring (SHM) of bridges is one of the popular research topics in civil engineering and wireless sensor technology-based SHM has been widely investigated recently. The paper based on the novel theory of compressive sensing (CS) and wireless sensor technology, proposes a fast-moving wireless sensing technique for fast detection of bridge in city. In the proposed technique, the data loss of wireless sensor in the fast-moving states is first investigated. Then, to solve the data-loss problem, the CS-based lost data recovery approach is proposed. Last, the field tests of the Harbin Songpu Bridge are carried out to illustrate the ability of the proposed approach for data acquisition and modal testing.The main contents are:The law and reason of data loss during data transmission in the fast-moving wireless network are investigated. Based on the wireless sensor, two experiments including straight and round fast-moving are carried out to study the relationship between the data packets loss and moving velocity of wireless base station.A novel application of CS is proposed to recover lost data in a fast-moving wireless sensing network technology for bridge detection. First, the data packet loss pattern is investigated based on the wireless acceleration data collected from Harbin Songpu Bridge. Then, the sparsity of the vibration data is analyzed, Last, the data packets lost recovery of the proposed approach is illustrated and the recovery errors in time and frequency domain are also calculated.Based on the fast-moving wireless sensing technology, the modal testing of Harbin Songpu Bridge is implemented. Firstly, the wireless sensors are installed on the bridge to automatically acquire data and a fast-moving vehicle with an on-board wireless base station periodically collects the data without interrupting traffic; secondly, the method combining the NExT and ERA is used to identify the bridge modal parameters, it gets two group modal parameters about the recovered data and the original data; finally, Two different results are compared to verify the feasibility of bridge modal testing technique based on the fast-moving wireless sensing technology.