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.
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