摘要
文章研究在水闸施工中,通过部署多传感器监测系统,实时收集施工现场的多维数据,包括结构变形、应力应变、温度变化等关键参数。本文案例不仅实现了对水闸施工关键环节的实时监控与预警,同时通过绩效评估模型对采取的优化策略进行了量化分析。此外,深入探讨了传感器布置的优化模式和数据融合技术,以进一步提升监测数据的准确性和系统的可靠性。文章研究成果为智能化施工提供了新思路、新方法,对同类工程施工具有广泛的应用价值。
In this study,a multi-sensor monitoring system is deployed during the sluice gate construction to collect real-time multidimensional data from the construction site,including key parameters such as structural deformation,stress-strain,and temperature variations.This case study not only achieves real-time monitoring and early warning for critical stages of the sluice gate construction but also conducts a quantitative analysis of the optimization strategies through a performance evaluation model.Additionally,the study explores optimization patterns for sensor placement and data fusion techniques to further enhance the accuracy of monitoring data and the reliability of the system.The results of this study provide new ideas and methods for intelligent construction,with broad applicability to similar engineering projects.
作者
李志军
LI Zhijun(Zhengzhou Ecological Water Supply Security Center,Zhengzhou 450000,China)
出处
《中国水能及电气化》
2024年第11期48-54,共7页
China Water Power & Electrification
关键词
智能监测
数据分析
风险预警
施工优化策略
绩效评估
intelligent monitoring
data analysis
risk early warning
optimization strategies of construction
performance evaluation