Research On Smart Health Monitoring And Safety Numerical Prediction System For Old Buildings

As urbanization progresses across the world,the health issues of old buildings based on safety,applicability,and durability have become increasingly prominent.Due to the complex and diverse structures and usage environments of old buildings,there are many uncertain factors that cause health problems.Currently,the evaluation of old buildings mainly relies on experts conducting on-site structural safety assessments,lacking a comprehensive evaluation of their health issues and the ability to predict sudden incidents in a timely manner.In recent years,due to frequent incidents such as building collapses,fires,and water seepage,evaluating,monitoring,and warning the health status of old buildings in real-time to achieve healthy usage has become an urgent problem.The emergence of intelligent monitoring technology provides new ideas and methods for real-time monitoring and warning of the health of old buildings.This article proposes an evaluation method based on improved fuzzy matter-element method for the health issues of old buildings.Based on the quantifiable indicators in the evaluation criteria,an intelligent monitoring system and monitoring plan were designed.A quantitative prediction method for building structure safety based on numerical simulation was proposed based on the evaluation results and monitoring data.Finally,the method was applied to specific old buildings.The specific research content and conclusions are as follows:(1)Starting from the safety,applicability,and durability of building structures and combining factors such as building fire protection,usage history,surrounding environment,and equipment facilities,an indicator system for the comprehensive evaluation of the health of old buildings is established,with 7 secondary indicators and 31 tertiary indicators.The grading thresholds of each indicator are determined.The AHP(Analytic Hierarchy Process)is improved and combined with the entropy weight method to determine the weighting method of each indicator.An improved extensible object-oriented method-based comprehensive evaluation method for the health of old buildings is established,and a method for predicting the safety of building structures using numerical simulation is proposed.(2)Based on sensing technology,wireless transmission technology,and cloud computing technology,a smart monitoring system for the health of old buildings is designed.Monitoring equipment is developed for the indicators that need to be monitored,and a layout plan for environmental monitoring points,displacement deformation monitoring points,and settlement deformation monitoring points is formulated.Different monitoring accuracy requirements are determined for buildings of different levels.(3)The intelligent monitoring equipment and comprehensive evaluation method are applied to actual old buildings,and an intelligent monitoring and warning platform for a certain old building is built,realizing functions such as real-time display of monitoring data and dynamic warning.The weight of the comprehensive evaluation indicators for the health of old buildings is determined by the combined weighting method,and the health status is comprehensively evaluated using the improved extensible object-oriented method.The evaluation result is level one,which is basically consistent with the actual situation.(4)Using Revit to build a BIM model of the building in the example and importing it into Abaqus,we conducted numerical simulation analysis combined with monitoring data.The results show that when the settlement value of the building’s front foundation reaches the threshold,the stress and strain of the front structure of the building increase,but they are within the allowable range.The horizontal displacement of the foundation is close to the threshold,and the building’s inclination is within the allowable range.