5 results about "Surface depth" patented technology

The invention belongs to the technical field of image processing, and relates to a defect traceability analysis method of a jewelry multiple surface treatment process, which comprises the following steps: injecting three marking substances corresponding to light with different wavelengths into surface positions with different depths to form a marking layer which can be identified by subsequent detection equipment; generating processing record data of the current process; collecting a pressure change waveform applied to the gemstone in the machining process, and generating a mechanical feature vector in combination with working parameters of equipment; inputting the processing record data and the mechanical feature vector into a preset process knowledge base to identify an abnormal parameter coupling relationship, and generating defect reason positioning information; comparing the deviation values of the actual parameters and the digital twinborn standard parameters layer by layer to generate a visual deviation report; generating a machine executable process optimization instruction; and updating through a transfer learning algorithm to form a self-evolution quality control link. The problem that a complete evidence chain from stress fluctuation to surface flaws cannot be constructed due to separation of a marking method and a detection technology is solved.

The invention discloses a diaphragm wall construction bedrock identification method. The diaphragm wall construction bedrock identification method comprises the following steps: preparation operation; identification operation: if the slotted hole is drilled along the existing drill hole, determining the bed rock surface depth of the slotted hole based on the bed rock depth disclosed by the drill hole; if the slotted hole is located between the two drill holes, the final bedrock surface depth D is determined according to the regional lithology condition on the basis of the bedrock surface depths D1, D2 and D3; wherein the bedrock surface depth D1 is a calculated value, and the bedrock surface depth D2 is determined based on the characteristics of the rock slag sample; the bed rock surface depth D3 is determined based on the drilling condition. According to the method for identifying the diaphragm wall construction bedrock, the bedrock surface depths D1, D2 and D3 are obtained through site construction, the bedrock surface which is relatively deep and fits the reality is selected by comparing the numerical values of the three, and a certain safety margin is reserved for the rock entering depth of the bedrock. Therefore, the anti-seepage wall construction bedrock identification method is comprehensive in consideration of influence factors, identification time is saved, the rock entering accuracy of the anti-seepage wall is enhanced, and engineering risks are reduced.

The present invention discloses a Gaussian sputtering surface reconstruction method based on anisotropic opacity. First, the opacity of the Gaussian volume is represented by spherical harmonic functions to make the opacity related to the viewing direction. Second, when performing sputtering rendering, the maximum opacity of the Gaussian volume in each viewing direction is used to calculate the depth transmittance, and the depth of the last Gaussian volume that satisfies the condition that the depth transmittance is greater than a certain value is selected as the surface depth. Finally, the depths from different viewpoints are fused to obtain the reconstructed result of the scene surface. The present invention is applicable to the surface reconstruction of Gaussian sputtering and can significantly improve the reconstruction accuracy of the specular surface while maintaining the reconstruction accuracy of the diffuse surface.

The present invention provides a welding groove feature extraction method, system and welding robot, the method comprising: obtaining surface depth information data of the weld groove of a steel component and performing preprocessing to obtain the welding groove area, determining the position of the inflection point above the groove in any cross section in the welding groove area, judging and screening out standard welding groove cross sections, determining the position of the inflection point at the bottom of the groove in the cross section, obtaining the inflection point position information in each cross section, screening the inflection point position information in each cross section to obtain target inflection point position information in each cross section, judging the type of steel component, performing secondary processing on the target inflection point position information according to the steel component type, determining the start and end positions of the groove, and obtaining target groove feature information. The present invention adopts a data screening method to greatly reduce the data processing volume and improve the algorithm operation efficiency; at the same time, it adopts a multi-algorithm fusion to achieve accurate extraction of welding groove feature inflection points, thereby improving the accuracy and efficiency of welding groove feature extraction.

This invention is titled "Rapid and Effective Measurement of Surface Depth of Metal Components Using Physical Surface Trimming." A method for determining the effective surface depth of a metal component includes forming a trimmed core surface by blasting or shot peening an exposed surface of the metal component with a blasting medium. The exposed surface is a continuous exposed surface of the surface and the core. The method includes measuring the surface texture, compressive stress, or another suitable feature of the trimmed core surface using a surface metrology sensor, and using the measured features to identify the surface-core boundary, including identifying the location of predetermined differences or gradients within the exposed surface. The method also includes measuring the effective surface depth as the vertical distance between a reference surface of the surface and the surface-core boundary.