Research On Dam Deformation Monitoring Model Of Baishi Reservoir Based On Artificial Bee Colony Algorithm

Deformation monitoring and data processing of dams are of great significance for dam safety monitoring.In this paper,the deformation monitoring method for large concrete dams is studied.The deformation law of dam deformation is analyzed by vacuum laser collimation system monitoring data.Scientifically analyze the relationship between each influencing variable and its response quantity,and timely grasp the operation,management,working status and evolution trend of the dam,and find out the abnormal factors that endanger the safety in time,so as to obtain social benefits and economic benefits.The meaning.By using the artificial bee colony algorithm in MATLAB software to predict dam displacement monitoring data and comparing with automated monitoring values to confirm the safety of the dam,it has important guiding significance for daily dam monitoring.Depending on the type of construction and the purpose of the monitoring,the main items to be observed are deformation,stress,strain,joints,temperature,water level,uplift pressure,seepage and water quality.The mathematical model of dam deformation is established to simulate and predict the development trend of dam deformation.The influence of environmental factors such as upstream reservoir water level,temperature and rainfall storage date on dam deformation is discussed.Establish a data model for deformation observation of the dam observation project.Monitoring the dam deformation can basically reflect the working characteristics of the dam under various loads,and has good prediction results,and the results can be applied to the environmental impact assessment and safety appraisal report.Taking Baishi Reservoir Dam of Liaoning Province as an example,this paper elaborates the working methods and precautions of dam deformation monitoring and related data processing,and compares the prediction and fitting of deformation data of Baishi dam vacuum laser alignment system.The deformation analysis process of deformation monitoring is discussed.The reservoir dam deformation monitoring is systematically summarized,and the content and method of data processing work are improved.This paper introduces the system composition of the artificial bee colony algorithm,analyzes and organizes the basic monitoring data,and establishes a horizontal displacement statistical model based on the artificial bee colony algorithm for the 27# dam section.By comparing the fitted values of ABC artificial bee colony algorithm and BP neural network optimization algorithm with the measured displacement values and comparing the relative changes and differences of each point,the results show that the artificial bee colony algorithm stepwise regression model can be better The dam deformation is predicted and the relative error is low,and the prediction accuracy is high,which can effectively protect the safe operation of the dam.