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EM FCM Construction managing system based on machine learning for FCM bridge with EM sensor

机译:基于机器学习的EM FCM带有EM传感器的FCM桥梁施工管理系统

摘要

The present invention relates to a machine learning-based construction management system for an FCM bridge using an EM sensor, in the FCM bridge construction method management system for the management of a tension member reinforcing the connection between the pier and the head of the FCM bridge construction method, the sheath surrounding the tension material It is provided with a tubular body part that is connected to, a coil for applying a voltage to apply a voltage for magnetizing the tension member to the body, and a coil for measurement to measure the magnetic history of the tension member wound around the body. EM sensor; A database unit storing experimental data of magnetic history for each tension applied to the tension member; And a tension force calculation unit that compares the magnetic history measured by the measuring coil with the experimental data stored in the database unit to derive the tension force applied to the tension material. Accordingly, the construction of the segment girder can be stably performed during the construction of the bridge by the FCM bridge construction method.
机译:本发明涉及一种用于基于EM的传感器的FCM桥梁的基于机器学习的施工管理系统,该FCM桥梁的施工方法管理系统用于管理加强所述FCM桥梁的墩与头之间的连接的受拉构件。构造方法,围绕抗拉材料的护套设置有连接到其上的管状主体部分,用于施加电压以将用于将抗拉构件磁化的电压施加到身体上的线圈,以及用于测量磁性的测量用线圈。张力元件缠绕在身体上的历史。电磁传感器数据库单元存储施加到张力构件的每个张力的磁历史的实验数据;张力计算单元将由测量线圈测得的磁历史与存储在数据库单元中的实验数据进行比较,以得出施加到张力材料上的张力。因此,在通过FCM桥梁建造方法建造桥梁期间,可以稳定地进行分段梁的建造。

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