Design And Research Of Structural Health Monitoring For Prefabricated Partition Board

With the development of science and technology and the promotion of relevant policies,the field of prefabricated building in China has developed rapidly.Compared with traditional buildings,prefabricated buildings are characterized by high standardization,efficient production and installation,and low cost.But to ensure its long-term stability and safety,it is necessary to monitor and manage its health status.Traditional building monitoring often relies on manual labor,which makes it difficult to ensure the quality and efficiency of monitoring.Compared with traditional methods,Structural health monitoring technology can realize real-time monitoring and management of building status through sensors and monitoring systems,thus greatly improving the efficiency and quality of monitoring;At the same time,combined with the characteristics of high standardization of prefabricated building and efficient production and installation,explore the possibility of unified monitoring of large-scale buildings,thus changing the limitations of traditional building monitoring methods.In this thesis,Structural health monitoring is designed and studied for standardized prefabricated building components.Through the theoretical analysis of the weak points of the partition board,and then the design of its health information collection system,explore the Structural health monitoring method of embedded sensors for prefabricated building;At the same time,combined with wireless sensor network technology,through improving the traditional network protocol to improve the overall quality of the network,and then explore the network performance optimization strategy of large-scale building Structural health monitoring system.The specific work is as follows:(1)Design of sensor embedded point of prefabricated partition board Structural health monitoring system.Firstly,based on the production characteristics and relevant standards and specifications of prefabricated partition panels,material properties and constitutive relationships are analyzed;Then,based on ABAQUS simulation software,the model of the prefabricated partition board is established,mesh is divided,and constraint conditions are set;Obtain a stress distribution cloud map of the model through finite element analysis to analyze the structural weaknesses of the model;Finally,based on the simulation results,the weak points of the partition board are determined,and the actual installation of sensor embedded points for the partition board is carried out.(2)Design a SHM information collection system for prefabricated partition panels.Firstly,the Structural health monitoring scheme of partition board is analyzed and designed;Then,based on the embedded regulations and the requirements of lightweight and highperformance network nodes,the system hardware structure and various unit modules are selected and studied;Next,the actual design and development of the SHM information collection system,and performance testing of each unit design;Finally,install the entire system on the prefabricated partition board for system testing and structural health analysis.(3)Optimization and research on energy consumption of data transmission in largescale building Structural health monitoring network.Firstly,analyze the problem of network energy consumption and establish a model;Secondly,the LEACH protocol is improved to optimize its cluster head selection process;Then,combining PSO algorithm and optimizing the inertia weight,chaotic sequence and fitness function,an adaptive chaotic particle swarm optimization clustering algorithm(ACPSO-LEACH)with cluster head update is proposed.Through comparative experiments,it has been shown that this protocol has significant advantages in reducing network energy consumption,improving node survival rate,and increasing network throughput.Finally,the protocol is loaded into the actual Structural health monitoring network model for performance testing,and the test results show that the protocol can significantly improve the life cycle of the monitoring network,which has some reference significance for practical projects.This thesis combines relevant national standards to design a SHM information collection system based on sensor embedding,and improves the protocol for monitoring energy consumption issues in large-scale building clusters.Through the structural health analysis and scientific evaluation of the building,it provides a reference for the subsequent design of Structural health monitoring of prefabricated building.