Research On Pavement Information Monitoring System Based On Hybrid Compressive Sensing

In recent years,with the continuous improvement of the highway bridge network in China,the task of road maintenance has become more and more important.The application of wireless sensor technology to road bridges and road surface information monitoring will save a lot of manpower and obtain a large amount of original data on road surface information.Unlike traditional data compression methods,data compression and sampling are carried out simultaneously in the compressed sensing algorithm,which can reduce the amount of data acquisition and transmission in wireless sensor networks.At the same time,when the compressed sensing theory is applied to the chain network,the node is no longer a simple forwarding data,but the weighted value of the local data is added to the received data and transmitted to the next node.In the chain network,each node has the same data forwarding amount,and the energy consumption in the chain network is even.Aiming at the actual requirement of pavement information monitoring,this paper introduces wireless sensor network technology and hybrid compression perception algorithm into traditional road information collection,and explores a more real-time,more adaptable and longer life information monitoring system.the main contents and innovations of this paper are as follows:(1)A wireless sensor network for pavement information monitoring is developed,which focuses on the requirements of small size,low energy consumption and self power supply for the acquisition nodes buried under the road.In the data transmission,the chain topology structure is designed for the pavement information monitoring system.The test performance of the system shows that when the transmission power is 1dBm,the road information collection node with the distance of 8m has a relatively stable RSSI value,and the quality of the two direct communication links is relatively good,which can meet the basic data acquisition requirements of the pavement information monitoring system.(2)This paper introduces the data collection of compressed sensing chain network and the data collection method of mixed compression perception chain network.On this basis,a pavement information monitoring system based on hybrid compression perception is designed,and the working process of the system is analyzed.in the meantime,The compression perception theory is applied to the pavement information monitoring system,and the sparsity of the pavement temperature data under the mixed sparse base is analyzed.The common measurement matrix and its improved measurement matrix are studied.The appropriate measurement matrix is selected for the system through experiments.The threshold threshold value of the segmented orthogonal matching reconstruction algorithm is selected by the method of simulation comparison.Through the experiment simulation and the result analysis,the pavement information monitoring system based on the hybrid compression perception can monitor the information of the pavement in real time and balance the energy consumption of the network nodes,thus prolong the life of the pavement information monitoring system.