Abstract: The present disclosure provides a method for diagnosing structural in-service performance based on high dam risk mode and failure path. The method includes: constructing a high dam risk incident case database and extracting risk feature parameters; applying multi-scale hierarchical adaptive correspondence analysis, and resolving the problem of imbalance feature weights through feature weight calculation, hierarchical weighting of risk modes, establishment of physical similarity indices, and structural difference compensation, generating a weighted similar-project ranking list; constructing a time-series adaptive network model with multiple failure modes coupled to address the imperfect time-series evolution mechanism of failure paths, and outputting a time-series failure path prediction model; combining the similar-project ranking list and the time-series failure path prediction model to conduct engineering analogy analysis and generate a high dam safety status assessment report.

Abstract: Provided in the embodiments of the present disclosure are a method and apparatus for training an image reconstruction model, a storage medium, and an electronic device. The method includes: acquiring a target teacher image reconstruction model; training, by using the target sample image set, a student image reconstruction model to be trained, and ending the training until a target loss value satisfies a second preset loss condition, so as to obtain a target student image reconstruction model, wherein the target loss value is a loss value determined according to a first loss value and a second loss value, and the second loss value is a loss value determined according to a difference value between a predicted value and a real value respectively determined by the student image reconstruction model to be trained and the target teacher image reconstruction model.

Abstract: The present application proposes a method and system for quantitative derivation of an on-line evaluation layered model for evaluating concrete dam operation performance, and a storage medium, and relates to the technical field of dam operation safety monitoring and management. A logic architecture of quantitative derivation of the concrete dam operation performance mainly has two aspects, a longitudinal dimension and a transverse dimension. The longitudinal dimension is the principal line of assessing longitudinal evaluation of the on-line evaluation layered model, and an analysis idea of the concrete dam from local to global and from details to whole is objectively reflected from six levels of monitoring data, diagnosis methods, monitored items, evaluation indicators, key parts and an overall project.

Abstract: Disclosed are a method and apparatus for labeling an object contour in a target image, a non-transitory computer-readable storage medium and an electronic device. The method for labeling an object contour in a target image includes acquiring a target image feature of a target image, inputting the target image feature into a target generator, and acquiring a target mask of the target image generated by the target generator, wherein the target mask is used for labeling a contour of the target object.

Abstract: The present disclosure provides an underwater detection method for contact leakage of a tunnel joint of a dam culvert, including: obtaining an underwater image sequence of the culvert by an underwater robot; preprocessing and registering the underwater image sequence; extracting particle information appearing in the underwater image sequence based on the registered underwater image sequence; constructing a three-dimensional fluid velocity distribution map based on the particle information, and determining leakage situation according to the three-dimensional fluid velocity distribution map; and superimposing the three-dimensional fluid velocity distribution map on a preconfigured three-dimensional culvert model, and rendering and displaying it.

Abstract: Provided in the embodiments of the present disclosure are a method and apparatus for training an image reconstruction model, a storage medium, and an electronic device. The method includes: acquiring a target teacher image reconstruction model; training, by using the target sample image set, a student image reconstruction model to be trained, and ending the training until a target loss value satisfies a second preset loss condition, so as to obtain a target student image reconstruction model, wherein the target loss value is a loss value determined according to a first loss value and a second loss value, and the second loss value is a loss value determined according to a difference value between a predicted value and a real value respectively determined by the student image reconstruction model to be trained and the target teacher image reconstruction model.

Abstract: The present disclosure provides an underwater detection method for contact leakage of a tunnel joint of a dam culvert, including: obtaining an underwater image sequence of the culvert by an underwater robot; preprocessing and registering the underwater image sequence; extracting particle information appearing in the underwater image sequence based on the registered underwater image sequence; constructing a three-dimensional fluid velocity distribution map based on the particle information, and determining leakage situation according to the three-dimensional fluid velocity distribution map; and superimposing the three-dimensional fluid velocity distribution map on a preconfigured three-dimensional culvert model, and rendering and displaying it.

Abstract: A method of datapoint elimination for an active learning algorithm includes monitoring datapoints in a labeled training dataset as new labeled datapoints are added to the labeled training dataset; determining whether datapoints in the labeled training dataset satisfy a criterion for elimination operations of an elimination protocol; and applying the elimination operations of the elimination protocol to remove one or more datapoints from the labeled training dataset.

Abstract: A text recognition method includes: obtaining a text image and contextual information of an interactive environment in which the electronic device is currently located, the text image being obtained by collecting images of a to-be-recognized text; obtaining a text filtering condition for the to-be-recognized text based on the contextual information; performing text recognition on the text image to obtain a corresponding text recognition result; obtaining the to-be-recognized text included in the text image based on the text filtering condition and the text recognition result; and outputting the to-be-recognized text.

Abstract: Disclosed is a particle algorithm-based method for underwater detection and operation positioning of a reservoir dam system. A water body is stimulated by adopting a smoothed particle hydrodynamics (SPH) method, the ROV is simulated by adopting a discrete element method (DEM) unit formed by a series of particles, an umbilical cable between the ROV and a water surface control unit are simulated by a spring unit, dynamic interaction among the ROV, water flow and the cable are calculated by combining the SPH method and the DEM, and real-time motion positions of the ROV and the cable in complex environments are calculated and obtained; and a relative position between the ROV and the surface control unit can be calculated through the real-time position of the cable, and the real-time underwater positioning of the ROV is realized in combination with an absolute coordinate position of the surface control unit.

Abstract: Disclosed are a method and apparatus for labeling an object contour in a target image, a non-transitory computer-readable storage medium and an electronic device. The method for labeling an object contour in a target image includes acquiring a target image feature of a target image, inputting the target image feature into a target generator, and acquiring a target mask of the target image generated by the target generator, wherein the target mask is used for labeling a contour of the target object.

Abstract: The present invention provides a self-positioning system of a deepwater underwater robot of an irregular dam surface of a reservoir, including cross reflection metal plates arranged on the irregular dam surface, and an underwater robot provided with a control motherboard, a water level indicator and a sonar system, wherein the water level indicator and the sonar system are respectively connected with the control motherboard, and the control motherboard is connected with a computer via a cable. The cross reflection metal plate has known coordinates and has four quadrants. A sonar signal emitted by the sonar system is reflected by the cross reflection metal plate to generate sonar reflection signals of four quadrants, and the sonar signals in the effective quadrants correspond to known coordinate parameters of the cross reflection metal plate so as to obtain the horizontal distance between the underwater robot and the irregular dam surface.

Abstract: The present invention provides a self-positioning system of a deepwater underwater robot of an irregular dam surface of a reservoir, including cross reflection metal plates arranged on the irregular dam surface, and an underwater robot provided with a control motherboard, a water level indicator and a sonar system, wherein the water level indicator and the sonar system are respectively connected with the control motherboard, and the control motherboard is connected with a computer via a cable. The cross reflection metal plate has known coordinates and has four quadrants. A sonar signal emitted by the sonar system is reflected by the cross reflection metal plate to generate sonar reflection signals of four quadrants, and the sonar signals in the effective quadrants correspond to known coordinate parameters of the cross reflection metal plate so as to obtain the horizontal distance between the underwater robot and the irregular dam surface.

Abstract: Disclosed are a method, device, and computer storage medium for implementing IP address advertisement. An advertisement for controlling LSA11 and an advertisement control switch for flooding are added into a router. The router performs, according to a state indicated by the advertisement control switch, IP address advertisement or flooding for LSA11 encapsulated with an IP address.

Abstract: Disclosed are a method, device, and computer storage medium for implementing IP address advertisement. An advertisement for controlling LSA11 and an advertisement control switch for flooding are added into a router. The router performs, according to a state indicated by the advertisement control switch, IP address advertisement or flooding for LSA11 encapsulated with an IP address.

Abstract: The present invention provides a method and apparatus for detecting speech spectral peaks and a speech recognition method and system. The method for detecting speech spectral peaks comprises detecting speech spectral peak candidates from power spectrum of the speech, and removing noise peaks from the speech spectral peak candidates according to peak duration and/or peak positions of adjacent frames, to detect speech spectral peaks. In the present invention, reliable speech spectral peaks can be obtained by removing noise peaks using the limitations of peak duration and adjacent frames in the detection of the speech spectral peaks. Further the energy values of the speech spectral peaks are used to extract the MFCC feature of speech instead of a sample sequence of the whole power spectrum in the conventional technique, the noise robustness of speech recognition can be enhanced while not increasing the speech feature dimensions.