Research On Intelligent Monitoring System Of Seismic Support Hanger

Seismic hangers,as supporting members of pipes,are an important part of building structures.Real-time monitoring of the working status of seismic support and timely feedback on its damage is of great significance to the overall safety and reliability of the structure.However,at present,there are few researches on the monitoring system of the hangers at home and abroad.In this paper,an intelligent monitoring system for seismic hangers is innovatively developed and designed on the basis of fully researching the civil structure health monitoring system.The system mainly includes a sensor subsystem,a data acquisition and transmission subsystem,a data storage and management subsystem,and a data analysis and evaluation subsystem.The main research contents include:Developed a wireless acceleration sensor with low power consumption and high sensitivity.Using module integration technology,the acquisition unit module,the micro processing unit module,the wireless transceiver module and the energy unit module are integrated to complete the production of the wireless acceleration sensor sensing node.And through the performance comparison test of the acceleration sensor used in the market,the accuracy of the developed sensor in data collection and transmission is verified.A single-degree-of-freedom nonlinear simplified model of loose bolts is established,and the nonlinear energy modulation phenomenon in the loose state of bolts is theoretically explained by a multi-scale method.Based on this,four types of damage early warning indicators for earthquake-resistant support hangers were constructed:characteristic frequency early warning indicators based on fast Fourier transform,truncated energy early warning indicators based on wavelet packet analysis,and nonlinear high-frequency energy based on first-order IMF Early warning indicators and characteristic energy early warning indicators based on Hilbert spectrum.The detailed experimental research on the four indicators proves the effectiveness of the four early warning indicators for quantitatively determining the degree of bolt looseness and the similarity of the laws.On the basis of these studies,this paper has also established a multi-index,graded safety early warning system,by dividing the yellow and red early warning thresholds of various early warning indicators to monitor and early warning the real-time working state of the seismic support hanger.Finally,the correctness and effectiveness of the early warning system and system are proved by field engineering application.Cloud platform terminal software is designed.The software can remotely receive sensor data from the storage gateway,and analyze the corresponding early-warning index value through an intelligent algorithm to determine whether an early warning signal is issued.In addition,users can also view the historical data stored in the database and the status statistics of the seismic hangers at any time,which is convenient for users to manage in time.