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作 者:江新 杜海文[1,2] 袁轩 胡文佳[1,2] 郑霞忠 孙正熙[3] JIANG Xin;DU Haiwen;YUAN Xuan;HU Wenjia;ZHENG Xiazhong;SUN Zhengxi(Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang Huhei 443002, China;College of Hydraulic Environmental Engineering, China Three Gorges University,Yichang Hubei 443002, China;Maoming Hydrology Branch , Guangdong Province Hydrographic Bureau, Maoming Guangdong 525000, China)
机构地区:[1]三峡大学湖北省水电工程施工与管理重点实验室,湖北宜昌443002 [2]三峡大学水利与环境学院,湖北宜昌443002 [3]广东省水文局茂名水文分局,广东茂名525000
出 处:《中国安全科学学报》2018年第2期181-186,共6页China Safety Science Journal
基 金:长江科学院开放研究基金资助(CKWV2016382/KY);国家自然科学基金资助(51379110);水电工程施工与管理湖北省重点实验室(三峡大学)开放基金资助(2016KSD20)
摘 要:为保障地下硐室群施工人员安全、减少安全事故,针对地下硐室群施工安全风险,利用BP神经网络方法,开展预警研究。首先通过分析地下硐室群施工安全的影响因素,构建预警指标体系;收集1 000组训练样本后,设置并调试网络参数,网络训练成功后,用以进行地下硐室群施工期安全风险预警分析;然后以某地一个在建水电站地下硐室群为例,验证该预警方法的有效性。结果表明:用该预警方法能够快速获知地下硐室群当前施工安全状态以及风险变化趋势,提前采取有效的应对措施,提高施工安全管理水平。In order to protect the safety of underground cavern group construction workers and prevent accidents,the BP neural network method was used to study early warning of safety risks in the construction of underground caverns. Firstly,through the analysis of the influencing factors of construction safety of underground caverns,a warning index system was constructed. After collecting 1 000 sets of training samples,the network parameters were set and debugged. After the success of the network training,a safety risk early warning analysis for the underground cavern group during construction was carried out. Then the underground caverns under construction in a certain place were taken as an example to verify the effectiveness of the early warning method. The results show that the early warning method can be used toquickly know the current safety status of and the trend in variation of risk in the underground caverns construction,and is helpful in taking effective measures in advance for improving the safety management level of underground caverns construction.
关 键 词:地下硐室群 施工安全 风险 预警指标 BP神经网络
分 类 号:X948[环境科学与工程—安全科学]
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