地铁施工安全状态智能分析与动态分级系统研究与设计

Research and design of intelligent analysis and dynamic grading system for metro construction safety status

通过对既有安全风险管理基础数据进行标准化和数值化处理,包括巡视数据、监测数据、工程风险等级、工程风险类型以及工程设计参数等,借助案例库和神经网络研究,将传统依赖监测与巡视的单一预警判别方法升级为基于多源信息融合的工程安全状态综合智能分析。此外,设计一套定期动态评估与分级的工程安全状态智能分析系统,该系统以既有安全风险管理基础数据为基础,通过自动数据采集、智能分析、自动发布建议措施以及形象化展示等模块功能,实现对工程安全状态的智能判定。这一创新取代传统的人工判定方法,促进安全风险管控向智能化方向转变,为现场安全风险管理提供更为便捷、科学的管控决策和技术支持。

Through standardization and numerical processing of the established safety risk management basic data,including inspection data,monitoring data,engineering risk level,engineering risk types,and engineering design parameters.Aided by case database and neural network research,the traditional single warning differentiating method relying on monitoring and inspection is upgraded to a comprehensive intelligent analysis of engineering safety status based on the fusion of multi-source information.In addition,a set of intelligent analysis systems for regular dynamic evaluation and grading of engineering safety status is designed based on the existing safety risk management basic data,and realizes intelligent determination of engineering safety status through the modular functions of automatic data collection,intelligent analysis,automatic release of recommended measures,and visualization display.This innovation not only replaces the traditional manual determination method,but also promotes the transformation of safety risk management and control in the direction of intelligence,and provides more convenient and scientific management,control decision-making,and technical support for on-site safety risk management.