15results about How to "Calculation stable" patented technology

The invention discloses an earthquake landslide large deformation whole process simulation method based on a grid isolation technology, and relates to the technical field of geotechnical engineering. According to the method, a separated background grid containing a safety isolation belt and a multi-medium model are constructed based on a second-order convective particle domain interpolation material point method, and dynamic analysis is performed on seismic landslide by using a strain-driven soft and hard coupling constitutive mechanism, so that flexible input of seismic waves at the isolation belt and drifting prevention of a substrate are realized; and the complete evolution process of the landslide from undrained shear crack initiation to large-deformation friction accumulation can be accurately simulated. According to the method, wave reflection interference of a dynamic boundary and numerical drift of long-lasting integral are effectively eliminated, and real physical reproduction of the whole process of seismic landslide from crack initiation to friction accumulation is realized; therefore, calculation of large deformation and permanent displacement of the side slope under the earthquake action is more accurate and stable, and a foundation is laid for prediction and evaluation of the whole evolution process of landslide disasters.

The invention relates to the field of material mechanical property testing, and provides an in-service material property detection system based on an indentation method, comprising: an excitation module for applying a composite dynamic excitation load to a pressure head when the spherical pressure head is pressed into a to-be-detected material; the signal acquisition module is used for synchronously acquiring a dynamic load signal and a dynamic displacement signal in the pressing-in process of the pressing head; the data processing module is used for calculating an instantaneous phase difference according to the dynamic load signal and the dynamic displacement signal, constructing an evolution curve of the instantaneous phase difference along with the change of the pressure depth, and extracting a first characteristic depth, a second characteristic depth and a phase hardening index from the evolution curve; and the performance resolving module is used for calculating the elastic modulus and the yield strength of the to-be-tested material according to the first characteristic depth, the second characteristic depth, the phase hardening index and the mapping relation model. According to the method, the plastic hardening constitutive relation of the material does not need to be preset, rapid and micro-damage detection of the tensile property of the material can be achieved through single-time micron-order pressing-in, and the method is particularly suitable for field evaluation of in-service equipment.

The invention discloses a moisture diffusion-mechanical coupling calculation method based on particle DDA, and the method specifically comprises the steps: carrying out the discretization of a to-be-solved region through the particle DDA, and endowing a control parameter; contact retrieval is carried out between the particles and between the particles and the boundary, the action ranges of mechanics and moisture diffusion are determined, and a force chain and a virtual moisture diffusion channel are established between the action ranges; calculating the mechanical part of the DDA of the particles, and updating the position information of the particles; assembling a moisture diffusion equation set of the particle DDA, solving the equation set and updating particle moisture content information. According to the moisture diffusion-mechanical coupling calculation method based on the particle DDA, an implicit solution strategy is adopted, the time step is large, and calculation is stable; and the influence of cracks on the moisture diffusion process can be fully considered. Benefited from the improvement, the constructed water diffusion model not only improves the calculation efficiency and simplifies the material parameter assignment process, but also can more accurately describe the water migration behavior in the crack-containing structure.

The application discloses a kind of equipment monitoring method and system for oil chromatography detection, it is related to power equipment state monitoring technical field, the oil dissolved gas concentration data in the historical operation time of target equipment is collected and the operation condition data of corresponding moment;The oil dissolved gas concentration data and operation condition data collected are cleaned and pretreated, and structured data set is constructed;Based on structured data set, for each oil dissolved gas, the threshold prediction model of fusion operation condition data is constructed;Real-time operation condition data and oil dissolved gas concentration data of target equipment are collected, and the concentration threshold of each oil dissolved gas is obtained according to threshold prediction model;The oil dissolved gas concentration of each real-time acquisition is compared with corresponding concentration threshold, and the abnormal condition of oil dissolved gas is judged;The operation state of target equipment is judged according to the abnormal condition of oil dissolved gas.

This utility model relates to the field of on-site repair of insulated pipes, specifically a fully automatic polyurethane foaming machine for on-site repair. The inlet ends of the black and white material tanks are connected to the outlet ends of the black and white material barrels via pipes II and I, respectively. The outlet ends are connected to the inlet ends of the black and white material switching unit via pipes VI and III, respectively. The inlet ends of the black and white material cylinders are also connected to the outlet ends of the black and white material switching unit via pipes V and IV, respectively. The inlet end of the mixing nozzle is connected to the white material switching unit and the black material switching unit via pipes VII and VII, respectively. The outlet end of the hydraulic station is connected to the outlet end of the mixing nozzle via pipe IX, and its inlet end is first connected to the outlet end of the mixing nozzle via pipe X, providing power for opening and closing the mixing nozzle. This utility model solves the problems of high difficulty in operation, low efficiency, and difficulty in guaranteeing quality in existing manual foaming machines for repair.

This invention discloses a method for analyzing the cracking mechanism of tunnel lining concrete based on the phase-field method, including step one: establishing the theoretical control equation of phase-field fracture of tunnel lining; step two: constructing a geometric model of the tunnel lining-surrounding rock system; step three: obtaining the evolution process of displacement field and phase-field variable field; step four: revealing the cracking mechanism and key influencing factors; and step five: model verification and parameter sensitivity analysis. This invention, by establishing a phase-field fracture control equation coupled with multiple physics fields, can automatically and naturally simulate the initiation, propagation, and convergence of any complex cracks in the lining. By introducing a geometric and material model reflecting the microscopic heterogeneity of concrete, it reveals the regulation mechanism of aggregate distribution and weak interface zones on macroscopic cracking behavior at the tunnel scale. Through the coupled analysis of multiple fields such as mechanics, seepage, and temperature, the simulation environment is made closer to engineering reality.

The present application relates to a kind of main hoist remaining life prediction method and device, wherein, method includes: S1, the vibration time series data and working condition parameter time series data of the main hoist to be measured are acquired, and the measured vibration signal and measured working condition parameter signal of single operation are segmented, detection data group is constructed and time information is generated;S2, using detection data group to identify working condition, input the first self-encoding model corresponding to working condition, obtain the vibration signal after reconstruction and physical constraint residual, and the model is based on physical constraint dynamics equation to build;S3, total deviation is calculated according to reconstructed signal and physical constraint residual, and deviation sequence is obtained according to time sequence;S4, failure curve is generated based on deviation sequence, and then the remaining life is obtained.The present application can effectively separate working condition influence, fusion physical priori knowledge, realize accurate and reliable life prediction under the condition of variable working condition and variable load.

The invention discloses a three-dimensional target detection system based on two-dimensional perception. The three-dimensional target detection system comprises a two-dimensional perception module, a three-dimensional coordinate acquisition module and a post-processing module, the two-dimensional sensing module is used for performing feature extraction and region detection on an input image based on a deep learning target detection and key point detection algorithm, and outputting a bounding box of a to-be-detected target and two-dimensional coordinates of a plurality of key points; the three-dimensional coordinate acquisition module is used for performing spatial mapping on the two-dimensional coordinates of the plurality of key points and depth data acquired by the depth sensor, and calculating the three-dimensional coordinates of the key points; and the post-processing module is used for performing space consistency optimization on the three-dimensional coordinates of the key points in combination with the structure prior of the to-be-detected target, and calculating the pose of the to-be-detected target. According to the method, the high-precision three-dimensional pose of the to-be-measured target can be directly calculated from the two-dimensional visual information and the depth data without depending on complex three-dimensional modeling, the calculation precision is improved while the calculation amount is greatly reduced, and the calculation process is more stable and reliable.

This invention belongs to the field of radiative heat transfer technology, specifically relating to a method for obtaining the radiation characteristics of divergent suppressed particles. The calculation results of the absorption factor and scattering factor obtained by this method are in good agreement with those obtained by traditional Mie scattering calculations. When the shape factor increases to the point that traditional Mie scattering calculations diverge, the proposed divergent suppressed particle radiation calculation method does not diverge, effectively solving the divergence problem that occurs in traditional Mie scattering calculations when the shape factor increases. By introducing the divergent suppressed Riccati-Bessel formula and stepwise recursive calculations, the stable calculation of the absorption factor Qa and scattering factor Qs is ensured, avoiding divergence and thus improving the reliability and accuracy of particle radiation characteristic calculations.

The invention relates to the technical field of material analysis, and discloses an on-line detection method and system for the expansion rate of expandable graphite, and the method comprises the following steps: applying instantaneous high-temperature stimulation to a powder sample to obtain an expanded graphite fluffy body; projecting a structured light field to the fluffy body and collecting a reflected light signal; decoding the optical signal, separating depth information and two-dimensional image information, and obtaining an effective three-dimensional data point set through space matching; performing triangulation processing based on the point set spatial topological relation, and constructing a triangular mesh; re-sampling the triangular mesh to obtain three-dimensional point cloud data, and respectively calculating a real-time accumulation volume and an original theoretical volume according to the three-dimensional point cloud data and the original mass and density of the powder sample; and finally, performing correlation analysis on the real-time accumulation volume and the original theoretical volume to obtain a real-time expansion rate value. According to the method, the accuracy of online detection of the expansion rate of the expandable graphite can be improved.

A multi-time-layer differential scheme for implicit heat transfer calculation using moving particles is presented, with the following specific steps: 1. Before calculation, virtual particles are arranged at the boundary to implement boundary layout, using virtual particles to arrange the first, second, and third types of boundaries for heat transfer calculation, as well as symmetric and periodic geometric boundary conditions; 2. During heat transfer calculation, the physical and mathematical relationships between different particles are given according to the input boundary conditions; 3. The distances between particle i and its neighboring particle j from the boundary surface formed by the boundary particles are calculated, and boundary conditions are applied; 4. The particle properties are given according to the initial input temperature, and the calculation time step length is given according to the stability condition; 5. The coefficient matrix and source terms of the multi-time-layer scheme of the heat diffusion equations are combined to solve the energy equation for temperature; 6. A consistent solution is performed using relevant solving algorithms to solve for the next temperature and determine whether convergence has occurred; 7. After all MPS calculations for a single time step are completed, the next time step is initiated.

This invention discloses a CT image enhancement method and apparatus based on global consistency optimization, comprising: performing Gaussian fitting on the pixel intensity distribution of a low-dose CT image to obtain a fitting result containing multiple categories of Gaussian distribution components; calculating the probability of each pixel intensity belonging to each category of the Gaussian distribution component based on the fitting result, and assigning a pixel label to each pixel accordingly; constructing a global optimization objective function containing consistency constraints of adjacent pixel labels, and adjusting the pixel labels through iterative optimization to maximize the objective function, obtaining optimized pixel labels; and performing adaptive deviation reduction processing on the intensity value of each pixel by shrinking it towards the mean of the Gaussian distribution component corresponding to each optimized pixel label, thereby generating an enhanced CT image. This invention can simultaneously achieve noise suppression and detail preservation under low radiation dose conditions, and is applicable to scenarios such as industrial non-destructive testing, medical diagnosis, and high-resolution microscopic imaging.

The application discloses a kind of delivery and distribution system planning auxiliary system, comprising: management and control center and database, data acquisition module, existing power grid analysis module, load prediction module, power grid planning module and evaluation module are connected with communication in management and control center, database is used to store the data generated by each module, wherein data acquisition module obtains historical power grid distribution map, original data and the basic information of power grid equipment by document scanner, existing power grid analysis module and load prediction module are based on the data collected by data acquisition module to analyze existing power grid and predict future annual load, power grid planning module is based on the analysis result of existing power grid and future annual load to optimize existing power grid planning scheme, and the reliability of new power grid planning scheme is calculated by power flow calculation method in evaluation module.The grid system of the application can be stable calculation and fault analysis, and does not involve the dynamic characteristics and transition process of system elements, improves the reliability of power grid planning.

The present application relates to the technical field of robot control and visual perception processing, and discloses an electric meter operating robot control method based on environment perception, which comprises the following steps: obtaining an operating instruction, determining a target electric meter and an operating type according to the operating instruction, and collecting image data of the target electric meter; performing coarse detection on the image data to obtain two-dimensional positioning information of the electric meter, and calculating a pixel deviation between the center of the detection frame and the center of the image data. By repeatedly adjusting the observation posture according to the pixel deviation under the condition that the mobile platform remains stationary, and combining the direct deviation to determine the direct state, the direct image data can be obtained under a relatively stable visual angle, thereby solving the problem that the positioning result fluctuates greatly and it is difficult to stabilize the positioning due to platform movement and visual angle change.

This invention provides a method, apparatus, and electronic device for projecting flood inundation in small and medium-sized rivers in mountainous areas, relating to the fields of water conservancy engineering and flood control and disaster reduction. By fusing sparse measured cross-sections and satellite DEMs using a distance-varying weight function, the topography of mountain river channels is effectively reconstructed, eliminating excessive reliance on high-precision measured topography. By real-time identification of Froude numbers and adaptive switching between the energy equation and Manning formula, the problem of traditional models easily diverging under complex flow conditions is solved, ensuring stable water surface line calculations. Through spatial constraints, depth filtering, and connectivity checks, isolated spurious inundation patches are completely eliminated, resulting in a realistic and reliable flood inundation map that can be directly used for emergency decision-making.