Abstract: A method for monitoring and safety evaluation of a dam body defect of a check dam is provided, including steps of: obtaining multi-source remote sensing data, unmanned aerial vehicle (UAV) data, ground monitoring data and sensing images through a three-dimensional data network; identifying the sensing images through an R-CNN algorithm and a Fast R-CNN based on the UAV data and check dam body database to determine check dams having defects and types of defects, defect data and position data; performing classification statistics of the check dams having defects according to the types of defects; building a three-dimensional model of the dam body safety evaluation standards for check dams after classification according to the position data and the ground monitoring data; input the defect data in a check dam safety performance evaluation module to obtain simulation data; and completing the evaluation according to the simulation data and the three-dimensional model.

Abstract: A GNSS emergency monitoring error suppression method for an alpine canyon complex environment is provided. Through three steps of GNSS optimization design of the alpine canyon complex environment, derived error suppression of emergency monitoring criteria in the alpine canyon complex environment, and error suppression measurement and result correction, GNSS measurement errors in the alpine canyons can be effectively suppressed. Through improving measurement accuracy, GNSS technology can be widely applied to the alpine canyons, outstanding advantages of high efficiency and high accuracy in a coordinate transmission process of the GNSS technology are brought into full play, and a cost is effectively reduced. Meanwhile, by processing the errors of the emergency monitoring criteria, it is possible to protect workers from on-site operation risks.