Railroad bridge structure health monitoring system based on wireless sensor actuator network

Abstract

The invention discloses a railroad bridge structure health monitoring system based on a wireless sensor actuator network. The monitoring comprises the following steps of: transmitting monitoring data relative to bridge health to an aggregation node by sensors on a railway bridge, and storing the data in a matrix by the aggregation node according to the time and space correlation of the data; packing the data stored in the matrix by the aggregation node according to a Diapack data packing manner so as to prepare for transmitting the data to a train; transmitting the information to the train by the aggregation node, and reconfiguring a whole section of data flow according to the non-interlapping part of the received data through the train; and transmitting the data flow to a data center through a network, and restoring mass missed data by the data center through a Matrix Completion algorithm. The railroad bridge structure health monitoring system provided by the invention has the advantages that the remote transmission cost is greatly reduced, the new data packing manner and the data reconstructing algorithm are combined to realize the accurate restoring of the mass missed data, and thus the feasibility and the reliability of the system are guaranteed.

Description

technical field [0001] The invention relates to a structure health monitoring system of bridges and other buildings, in particular to a railway bridge structure health monitoring system based on a wireless sensor actuator network. Background technique [0002] The service life of the bridge is as long as decades or even hundreds of years, but due to the coupling effect of perennial load effect, material aging, environmental erosion, fatigue effect and other factors, the structure and system of the bridge will inevitably produce damage and resistance attenuation , or even distortion and collapse. As we all know, bridges are the lifeblood of traffic in a country or region. It costs a lot of money. Once a bridge collapse accident occurs, it will cause heavy casualties, huge economic damage, and bring bad social impact. In order to grasp the performance degradation of large bridges in time and prevent sudden collapse accidents, it is extremely necessary to apply scientific meth...

AI Technical Summary

Problems solved by technology

However, there are many problems in the artificial periodic detection method: 1) Manual monitoring is highly subjective, and some results need to be estimated based on experience; 2) Due to the limitation of manual detection frequency, the detection results often lag behind the damage, and the damage cannot be warned in time; 3) Due to the lack of real-time monitoring data, it is impossible to understand the development of the damage; 4) The wired monitoring system can continue to work normally for a short period of time; 5) The wiring of wired sensors is complicated and maintenance is troublesome; 6) More importantly, Due to the high cost and bulky equipment used in traditional manual inspection, the road surface needs to be closed for a long time during the inspection, which seriously interferes with the normal operation of the bridge

However, the system requires that the data collection center should not be too far away from the sensor network, otherwise it will not only cause a large amount of data to be lost during transmission, but also greatly increase the cost of transmission

[0008] After searching, it was found that the Chinese patent with the application number 200610073863.7 and the invention title "Structural Health Monitoring and Information Management System and Method" proposed a structural health monitoring and information management system, but the technology must be based on the collected data Under the premise of reliable and fast transmission to the data center, this technology has not proved its applicability to the situation where the data center is far away from the bridge

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