基于在线监测技术的爆破施工优化方法研究  

作　　者：张丹 郭瑞 张永斌 

机构地区：[1]中国水利水电第三工程局有限公司,西安710048

出　　处：《科技创新与应用》2025年第10期146-149,共4页Technology Innovation and Application

摘　　要：该文以茶山支洞钻爆法施工某段工程项目为依托,研究基于在线监测技术的隧洞爆破施工优化方法。鉴于爆破施工在基建中广泛应用但面临安全、效率与环境挑战,提出一种集成多传感器的实时监测系统,通过捕获振动、掌子面图像、冲击波范围和飞石距离等爆破关键参数,并融合隧洞地质信息,利用GA-BP神经网络预测爆破效果。基于预测结果与设计规范,精准调参,全面优化爆破方案,以确保施工安全与效率。Based on a certain engineering project constructed by the drilling and blasting method in Chashan Cave,this paper studies an optimization method for tunnel blasting construction based on online monitoring technology.In view of the widespread use of blasting construction in infrastructure construction but facing safety,efficiency and environmental challenges,a real-time monitoring system integrating multiple sensors is proposed to capture key blasting parameters such as vibration,face image,shock wave range,and flying rock distance,and fuse tunnel geological information and use GA-BP neural network to predict blasting effects.Based on the prediction results and design specifications,the parameters are accurately adjusted and the blasting plan is comprehensively optimized to ensure construction safety and efficiency.

关 键 词：在线监测 爆破施工 优化方法 多传感器集成 GA-BP神经网络模型 

分 类 号：TV554.1[水利工程—水利水电工程]