Intelligent Monitoring and Warning Method of Building Structure Deformation Based on Improved Artificial Neural Network
In view of the existing monitoring and early warning methods for building structure deformation monitoring and early warning,the residual error of the result is too large,which affects the accuracy of the problem,improved artificial neural network is introduced to carry out the design and research of intelligent monitoring method for building structure deformation.The deformation prediction model of building structure is constructed by using improved artificial neural network.Sensors are set up at each monitoring point to realize real-time monitoring of structural deformation data.The alarm threshold is set,and the intelligent early warning of building structure deformation is realized by comparing the model output result with the threshold value.Through comparative experiments,it is proved that the new method can effectively control the residual error of monitoring and warning results,and the accuracy is significantly improved.It can detect abnormal deformation trends of building structures in the first time,promoting the improvement of the overall safety of building construction.
NETL
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