2 results about "Vertical gradient" patented technology

This invention proposes an early warning system and method for the impact of ecological submerged breakwaters on nearshore seabed morphology under tsunami wave action. The system includes: a feature extraction module that collects water pressure data inside and outside the breakwater and establishes a high-energy potential difference time window; a potential energy analysis module that retrieves data within the high-energy potential difference time window and performs differential analysis of the vertical gradient to generate the permeability per unit volume of the seabed surface; an erosion analysis module that obtains the loss coefficient and corrects the static critical initiation shear stress to establish a time-evolving erosion resistance threshold sequence; a concealment identification module that identifies concealed scour zones; and a graded early warning module that quantifies and accumulates the surplus characteristics of shear strength in concealed scour zones using sediment transport rates to obtain morphological loss characteristics, performs stability assessment of the breakwater support structure, and triggers graded collapse early warning. This invention achieves the identification and dynamic early warning of concealed scour risks under low flow velocity backgrounds by quantifying soil weakening caused by seepage.

The invention relates to the technical field of spectral analysis, in particular to a spectral data analysis method and system for water pollutant identification and a medium. The method comprises the following steps: acquiring flow velocity gradient data and a multi-depth spectral signal sequence, extracting a pollutant feature vector after adaptive filtering, and calculating vertical gradient distribution; on the basis, the initial boundary of the pollutant block mass is determined by adopting spatial clustering, and optimization is carried out by combining the turbulence pulsation frequency and the fluid shear stress direction. And determining a diffusion path according to the optimized boundary, and correcting the contour boundary by using the particle suspension density distribution. And a self-adaptive data updating mechanism is triggered by evaluating the matching degree of the corrected boundary and the flow field characteristics. And finally, fusing multi-source data to generate a three-dimensional pollutant contour recognition result. According to the method, the influence of turbulence interference and flow field deviation is effectively overcome, and high-precision identification and tracking of the three-dimensional diffusion form of the pollutants in a complex water flow environment are realized.