Bridge structure safety evaluation method and device based on big data

[0048] like figure 1 and figure 2 As shown, a bridge structure safety evaluation method based on big data, the method includes:

[0049] Step S1: Obtain the score of each measuring point of each type, and obtain the score of each monitoring item of the bridge superstructure, the score of each monitoring item of the bridge substructure and the bridge Each monitoring item score of the bridge deck system; the type of the measuring point includes displacement, inclination, stress, cable force, deflection, crack, acceleration and fundamental frequency, wherein, the type is displacement, inclination, stress, cable force and deflection The measuring point uses the expected value variation coefficient method to calculate the score, the measuring point whose type is crack uses the infinite series method to calculate the score, the measuring point whose type is acceleration uses the 2-norm method to calculate the score, and the measuring point whose type is fundamental frequency Poin...

[0103] Corresponding to Embodiment 1 of the present invention, Embodiment 2 of the present invention also provides a bridge structure safety evaluation device based on big data, the device comprising:

[0104] The first obtaining module is used to obtain the score of each measuring point of each type, and obtains the score of each monitoring item of the bridge superstructure and the score of each monitoring item of the bridge substructure according to the score of each measuring point of each type. Item score and each monitoring item score of the bridge deck system;

[0105]The second obtaining module is used to obtain the monitoring item score of the bridge superstructure monitored by the sensor, the monitoring item score of the bridge substructure monitored by the sensor, and the monitoring item score of the bridge deck system monitored by the sensor;

[0106] The first scoring module is used to obtain the safety score of the bridge based on sensor monitoring;

[0107] The ...