Fault diagnosis method of sensors in building structural health monitoring system based on communication load optimization

Abstract The building structure maintenance and safety monitoring system has become an important guarantee of building structure health. The service life of conventional large-scale buildings is usually fixed in hundreds of years, while the sensor life of the corresponding structural health monitoring (SHM) system can only be maintained in more than ten years or even shorter. Therefore, it is very important and significant to identify and detect the sensor fault of the building SHM system in time and effectively. Based on the communication load optimization technology, this paper will control and optimize the communication load and energy efficiency of a large number of sensor devices, so that the whole monitoring system network has the advantages of small flow and large amount of connected data. At the same time, according to the generalized quasi natural analogy test principle, a sensor fault self diagnosis method is proposed, so as to further quickly realize the detection system sensor fault and fault channel determination. Based on this, the sensor fault detection algorithm of the communication load optimization based building SHM system proposed in this paper is applied to the structure safety monitoring of a large building. The experimental results show that the diagnosis results of this method are accurate and consistent with the actual situation.

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