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SYSTEM AND METHOD FOR MANAGING UNEXPECTED SITUATION IN TUNNEL USING FASTER REGIONAL CONVOLUTION NEUTRAL NETWORK

机译:利用更快的区域卷积神经网络管理隧道中异常情况的系统和方法

摘要

The present invention relates to a system and a method for managing an unexpected situation in a tunnel. The system for managing an unexpected situation in a tunnel includes: a data processing module forming tunnel image big data structuralized; a data processing module calculating position/size/type learning data of a moving body by performing a faster regional convolution neutral network algorithm based on the tunnel image big data completely formed; and a data processing module capable of transmitting a generated corrected image in the tunnel to a tunnel control server and transmitting a warning message corresponding to an unexpected situation to the tunnel control server in a case that it is determined that the unexpected situation occurs in the moving body in the tunnel. Therefore, the system for managing an unexpected situation in a tunnel can guide a series of a moving body unexpected situation handling procedure to effectively perform the moving body unexpected situation handling procedure based on the corrected image in the tunnel, with high reliability (in other words, an error sensing rate is extremely low).;COPYRIGHT KIPO 2019
机译:用于管理隧道中意外情况的系统和方法技术领域本发明涉及用于管理隧道中意外情况的系统和方法。一种隧道意外情况管理系统,包括:数据处理模块,用于对隧道图像大数据进行结构化;数据处理模块,基于完全形成的隧道图像大数据,通过执行更快的区域卷积神经网络算法,计算运动体的位置/大小/类型学习数据;数据处理模块,其能够将在隧道中生成的校正图像发送到隧道控制服务器,并且在确定在移动中发生意外情况的情况下,将与意外情况相对应的警告消息发送到隧道控制服务器。隧道中的尸体。因此,用于管理隧道中的意外情况的系统可以指导一系列运动体意外情况处理过程,以基于隧道中的校正后的图像有效地执行运动体意外情况处理过程,即具有较高的可靠性(换句话说,是,错误感应率极低)。; COPYRIGHT KIPO 2019

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