14 results about "Weathering" patented technology

An image spectrum technology-based geological sketching method, including: based on collected image-spectrum data information of a tunnel face, extracting mineral end members and spectrum to determine types and contents of minerals, extracting texture features and feature waveband spectrums to determine stratum lithology, extracting crack features and identifying crack fillers to obtain a crack identification result; obtaining degrees of crushing of surrounding rocks according to numbers and relative areas of cracks; analyzing weathering variation proportions of minerals according to stratum lithology and mineral analysis result for surrounding rocks, acquiring color differences between different degrees of weathering according to spectral color difference identification results, obtaining degrees of weathering of the surrounding rocks; identifying water outflow form and water outflow position of tunnel face to be detected; and obtaining a geological sketch map for the tunnel face by performing labeling and summarization by using different labeling symbols according to the results.

This invention discloses a method for assessing the weathering of sandstone artifacts based on the fusion of multi-source heterogeneous data driven by physical-manifold collaboration, belonging to the field of cultural relic protection technology. Addressing the contradiction that surface spectral data of sandstone artifacts is dense but cannot probe the interior, while internal physical data is accurate but extremely sparse and lossy, this invention proposes a "surface-to-interior" fusion strategy. First, using a physical information deep learning model, physical partial differential equations are introduced as prior constraints to extrapolate sparse point data into a continuous deep physical tensor across the entire field, achieving a "penetrating" effect. Second, based on Riemannian manifold geometry, spectral-physical enhancement features are mapped to the tangent space to extract noise-resistant surface manifold features. Furthermore, through coupled tensor decomposition, deep mechanisms and surface properties are forcibly aligned in the latent feature space. Finally, a high-order Laplacian hypergraph model is used to achieve pixel-level classification of weathering degree. This method effectively solves the problems of spatial scale mismatch and missing physical mechanisms in multi-source data, achieving a non-destructive, full-field, and accurate quantitative assessment of the weathering status of cultural relics.

A kind of digital geological strength index intelligent acquisition method for deep pillar, first obtains the digital image of the pillar surface and carries out pretreatment;Based on image automatic identification joint fissure, extract trace length, direction, spacing and opening degree and other geometric and structural parameters;At the same time, identify the apparent weathering degree of rock mass to determine the weathering grade;And build three-dimensional model to extract surface roughness parameter. Further, the above structure, roughness, opening degree and weathering information are integrated to construct the comprehensive index JSVI of apparent joint quality of the pillar. Finally, the JSVI is coupled with the rock mass structure grade parameter SR to establish the GSI calculation model, realizing the non-contact, objective and digital expression of the pillar rock mass quality. The method is simple in implementation process and low in implementation cost. Based on digital image and intelligent identification technology, the whole process automation, objectivity and quantification of deep hard rock pillar rock mass fissure structure parameters, structure surface state index and geological strength index are realized.

This invention discloses a generalized identification method and system for slope rock mass structural surfaces based on multi-level domain adaptation. This invention relates to the field of slope rock mass identification technology. By constructing four levels—global domain adaptation, regional domain adaptation, local domain adaptation, and sample-level adaptive adaptation—this invention achieves hierarchical and progressive evolution of model capabilities. A variational autoencoder is used to explicitly decouple features into domain-invariant and domain-specific parts, enabling the model to distinguish between the essential geometric features of rock mass structural surfaces and the weathering and unloading features of specific regions. Through regional meta-learning training, it can quickly adapt to new regions with only a small number of labeled samples.

This invention relates to the field of mine roadway and traffic tunnel technology. To accurately identify the lithology and weathering degree of rocks within boreholes in real time, it provides a method and device for identifying lithology and weathering degree based on drill rod vibration signals. Based on a six-component vibration sensing architecture with an octahedral structure, it achieves six-component full-dimensional sensing of drill bit rock-breaking vibration acceleration signals. A triple filtering method is used to remove interference, and the vibration frequency is corrected by combining the drill rod length to eliminate the interference of drill rod length changes on the vibration frequency during drilling. The corrected signal is processed by frame segmentation, extracting time-frequency features and time-domain features respectively. Finally, a borehole lithology and weathering degree identification model composed of CNN branches and MLP branches is constructed. The CNN branch automatically learns the local correlation patterns of time-frequency features, and the MLP branch automatically combines the nonlinear relationships in the time-domain features, thereby achieving efficient and accurate identification of borehole lithology and weathering degree.

This application provides a method, system, device, and storage medium for realizing a depth-domain imaging surface. The method includes applying a total correction to preprocessed time-domain data to correct a fixed surface, obtaining a final reference surface; secondly, using the travel time information of the first arrival wave of an earthquake to invert the near-surface velocity structure, extracting the velocity and thickness of the weathering layer from the tomographic static correction, and calculating the time correction. This invention, through time-domain tomographic static correction, corrects the weathering layer data to the water table, effectively avoiding the difficulty of near-surface velocity modeling. It quickly and effectively achieves depth-domain modeling and imaging. By utilizing the concept of time-domain static correction, seismic data is corrected to the water table, thus avoiding near-surface velocity modeling and directly starting mid-to-deep modeling from the water table. This shortens the processing cycle and improves velocity accuracy, which is beneficial for seismic imaging.

The application discloses a weathering monitoring and demonstration method and device for immovable cultural relics and a storage medium, and relates to the technical field of weathering detection. First, a hierarchical data structure of a reference panoramic image and a local enhanced image is constructed, which not only retains the original optical details and data integrity of the immovable cultural relics, but also reduces the high computing cost and storage management complexity of large-scale tile preprocessing. Then, by performing cross-time-point image registration and establishing an accurate coordinate mapping relationship, combined with pixel-level difference calculation, the shooting angle and position deviation can be effectively eliminated. The generated disease change heat map has higher spatial resolution and monitoring sensitivity. Finally, an index association table is used to realize the dynamic linkage of panoramic overview and local details. In this way, the weathering detection accuracy of the immovable cultural relics is improved.

The application discloses a kind of antireflection weathering and transmittance coating solution and preparation method thereof, the component of the antireflection weathering and transmittance coating solution includes antireflection weathering and transmittance coating solution A liquid and antireflection weathering and transmittance coating solution B liquid.The main molecule in the coating solution is silicon dioxide, based on tetraethyl orthosilicate (TEOS) and silane coupling agent (gamma-methacryloxypropyl trimethoxysilane, KH-570) system, under alkaline conditions, introduce ultraviolet absorber (UV-1130 or UV-1), light stabilizer (UV-292) and antioxidant (1010), and realize the synergistic modification of organic silane segment and inorganic silica skeleton by using microemulsion technology, realize the transmittance of coating solution, weathering performance, can be widely used in photovoltaic glass coating to reduce light reflection and long time use.

This invention relates to the field of geological environment management and ecological restoration technology, providing a system and method for accelerating the weathering and greening of rock slopes. The system includes a microbial-induced weathering subsystem, an anchored grid subsystem, a stepped greening subsystem, and a maintenance subsystem. The microbial-induced weathering subsystem sprays microbial inoculum onto the rock slope surface to accelerate surface weathering and form a biocemented layer. The anchored grid subsystem is installed on the slope treated by the microbial-induced weathering subsystem and includes anchor bolts, horizontal grid beams, and multiple vegetation units. The stepped greening subsystem is set within the vegetation units and includes a water-retaining and seepage-proof layer, a soil matrix layer, and a vegetation layer arranged from bottom to top. The maintenance subsystem includes a sensor network, a control unit, and irrigation and nutrient supply devices. This invention effectively accelerates surface weathering of rock, enhances the stability of the greening system, and significantly reduces long-term maintenance costs.

This invention relates to the field of soil conditioning or soil stabilizing materials, and discloses a composite soil conditioner for mobile sandy soil and its application method. Biomass particles with a polymer gel film on their surface are rolled in mobile sandy soil to form spherical structures encased in sand. The weight of these spherical structures presses down the sand, reducing wind erosion and effectively fixing the mobile sandy soil without affecting subsequent vegetation growth. Microbial agents within the film grow on the sand shell and biomass particles, producing organic acids that enhance mineral weathering, and releasing soluble calcium salts to maintain the strength of the sand shell. Long-lasting organic matter is decomposed by fungal pioneers, and combined with nutrients released from minerals and nitrogen-fixing bacteria regulating the carbon-nitrogen ratio, the growth of biofilm-producing bacteria, phosphorus- and potassium-solubilizing bacteria, and other engineered bacteria is maintained, producing a biofilm to continue maintaining soil particle aggregation and releasing nutrients to maintain fertility. The combination of these factors achieves sand fixation and supports vegetation growth, maintaining an organic matter supply and cycle.

This invention provides a method for the rapid weathering of coal gangue into soil through a microbial-plant synergistic enhancement. Applied to the fields of ecological restoration of coal gangue mountains and artificial intelligence, the method constructs a positive feedback loop of root exudates and microbial metabolites to achieve dual acid erosion weathering by microorganisms and plants, significantly increasing the chemical weathering rate of coal gangue. Combined with the precise control of the ANNA algorithm, it achieves rapid soilification of coal gangue. The ANNA algorithm avoids getting trapped in local optima from the source through reverse learning and dual population initialization. The adaptive bias operator and continuous penalty function coefficients achieve a smooth balance between global exploration and local exploitation capabilities, improving convergence speed and computational accuracy. The algorithm is adaptable to restoration scenarios with different coal gangue types and different climatic conditions, exhibiting excellent robustness.

This invention provides a method for detecting diseases on loess slopes under freeze-thaw conditions, belonging to the field of loess slope disease identification technology. This invention collects sample images of loess slope soil under freeze-thaw conditions and performs spectral analysis on their texture features to identify the dominant periodic frequencies under freeze-thaw conditions. Then, it extracts texture and moisture-sensitive features from field images of the loess slope and performs periodic texture analysis based on the dominant periodic frequencies, achieving a deep characterization of freeze-thaw processes. By weightedly fusing periodic texture features with moisture change features to construct a freeze-thaw microsurface change index, it not only effectively distinguishes the different manifestations of freeze-thaw processes and conventional weathering and rain erosion in soil structure and water content, but also provides interpretable quantitative indicators of disease risk, thereby achieving graded management of disease risk and greatly improving the accuracy and sensitivity of freeze-thaw disease identification.