The invention discloses a panel vertical seam
water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of
infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on
point cloud data generated by three-dimensional
laser scanning and an
ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical
engineering environment is simulated in a laboratory to carry out material
accelerated aging and test key indexes such as an elastic
recovery rate, a base surface state is evaluated through a temperature and
humidity sensor array in a construction stage, a six-axis grouting
robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded
optical fiber sensor, and after aging is simulated by combining a
hydraulic test with climate, a construction period is shortened. A distributed
optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on
mechanics, durability and sealing indexes, and finally
material selection and process parameters are optimized through
machine learning.