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SHANGHAI RAIL TRANSIT MAINTENANCE SUPPORT Co.,Ltd.
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[发明]
【中文】一种基于神经网络的隧道渗漏速率预测方法 【EN】Tunnel leakage rate prediction method based on neural network
申请号:
201911394963.3
公开号:CN111141653A 主分类号:G01N15/08
申请人:
【中文】上海地铁维护保障有限公司【EN】
SHANGHAI RAIL TRANSIT MAINTENANCE SUPPORT Co.,Ltd.
申请日:2019.12.30 公开日:2020.05.12
发明人:
【中文】李筱旻
;
邹文豪
;
卫追
;
沈玺
;
沈佳雨
;
王嘉鸿
;
周群【EN】Li Xiaomin
;
Zou Wenhao
;
Wei Zhui
;
Shen Xi
;
Shen Jiayu
;
Wang Jiahong
;
Zhou Qun
摘要:【中文】一种基于神经网络的隧道渗漏速率预测方法,构建基于卷积神经网络和长短时记忆网络的隧道渗漏速率预测模型,以隧道三维激光扫描影像为数据源,利用训练数据集和测试数据集对隧道渗漏速率预测模型进行训练,将预测数据集输入训练好的隧道渗漏速率预测模型,获得与隧道影像对应的渗漏水流速。本发明利用三维激光技术对隧道病害进行检测,作业效率高,成果丰富,搭建了卷积神经网络和长短时记忆网络的隧道渗漏水流速预测模型对渗漏水的速率进行预测分析。 【EN】A tunnel leakage rate prediction method based on a neural network is characterized in that a tunnel leakage rate prediction model based on a convolutional neural network and a long-term memory network is constructed, a tunnel three-dimensional laser scanning image is used as a data source, the tunnel leakage rate prediction model is trained by utilizing a training data set and a testing data set, the prediction data set is input into the trained tunnel leakage rate prediction model, and leakage water flow velocity corresponding to the tunnel image is obtained. The method utilizes the three-dimensional laser technology to detect the tunnel diseases, has high working efficiency and rich results, and builds a tunnel leakage water flow velocity prediction model of a convolutional neural network and a long-time memory network to predict and analyze the leakage water velocity.
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2:
[发明]
【中文】一种轨道交通车辆脱轨监测试验装置 【EN】Rail transit vehicle derailment monitoring test device
申请号:
202010010158.2
公开号:CN111060334A 主分类号:G01M17/08
申请人:
【中文】北京唐智科技发展有限公司
;
上海地铁维护保障有限公司【EN】BEIJING TANGZHI SCIENCE & TECHNOLOGY DEVELOPMENT Co.,Ltd.
;
SHANGHAI RAIL TRANSIT MAINTENANCE SUPPORT Co.,Ltd.
申请日:2020.01.06 公开日:2020.04.24
发明人:
【中文】黄贵发
;
陈朝
;
李静虎
;
奚笑冬
;
李合林
;
周炯
;
彭跃
;
丁亚琦
;
李诚
;
高伟民
;
彭旭斌【EN】Huang Guifa
;
Chen Chao
;
Li Jinghu
;
Xi Xiaodong
;
Li Helin
;
Zhou Jiong
;
Peng Yue
;
Ding Yaqi
;
Li Cheng
;
Gao Weimin
;
Peng Xubin
摘要:【中文】本发明公开了一种轨道交通车辆脱轨监测试验装置,包括:坡度轨道和水平轨道、转向架、用于将转向架脱离水平轨道的脱轨系统、用于将转向架复合于水平轨道的复轨系统、用于牵引转向架至坡度轨道的预设高度的牵引装置和电器控制系统,转向架上设有用于监测转向架是否脱离水平轨道的脱轨监测诊断系统和用于发出警报的报警装置,当转向架脱离水平轨道时,脱轨监测诊断系统控制报警装置发出警报,脱轨系统、复轨系统、牵引装置和脱轨监测诊断系统均与电器控制系统信号连接。在转向架脱轨之后的短时间内就能自动诊断出脱轨并发出报警,提醒人员进行制动等操作,通过加装在转向架上的脱轨监测诊断系统输出的诊断结果来验证脱轨数据的准确性。 【EN】The invention discloses a rail transit vehicle derailment monitoring test device, which comprises: the device comprises a slope track, a horizontal track, a bogie, a derailment system for separating the bogie from the horizontal track, a re-railing system for combining the bogie with the horizontal track, a traction device for drawing the bogie to the slope track and with a preset height, and an electrical appliance control system, wherein the bogie is provided with a derailment monitoring and diagnosing system for monitoring whether the bogie is separated from the horizontal track and an alarm device for giving an alarm, when the bogie is separated from the horizontal track, the derailment monitoring and diagnosing system controls the alarm device to give an alarm, and the derailment system, the re-railing system, the traction device and the derailment monitoring and diagnosing system are in signal connection with the electrical appliance control system. The derailment monitoring and diagnosing system can automatically diagnose derailment and send out an alarm in a short time after the derailment of the bogie, remind personnel to brake and other operations, and verify the accuracy of derailment data through a diagnosis result output by the derailment monitoring and diagnosing system additionally arranged on the bogie.
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