68 results about "Inversion analysis" patented technology

An inverse analysis method for characterizing diffusion of vapor from an underground source of volatile contaminant using data taken by an in-situ sensor. The method uses one-dimensional solutions to the diffusion equation in Cartesian, cylindrical, or spherical coordinates for isotropic and homogenous media. If the effective vapor diffusion coefficient is known, then the distance from the source to the in-situ sensor can be estimated by comparing the shape of the predicted time-dependent vapor concentration response curve to the measured response curve. Alternatively, if the source distance is known, then the effective vapor diffusion coefficient can be estimated using the same inverse analysis method. A triangulation technique can be used with multiple sensors to locate the source in two or three dimensions. The in-situ sensor can contain one or more chemiresistor elements housed in a waterproof enclosure with a gas permeable membrane.

The invention provides deep inclined fractured reservoir earthquake amplitude prediction technology and belongs to the field of seismic prospecting. In the method, deep inclined fractured reservoir earthquake amplitude prediction is performed by using pre-stack seismic amplitude data and the method comprises the following steps of: performing theoretical model forward and inversion analysis of an inclined fracture medium on target area characteristics to acquire optimization and inversion parameters; optimizing date by the pre-processing of data, macro-surface element partial superposition and a residual gather leveling method so as to optimize parameters; and performing inclined fracture medium theory-based reservoir fracture inversion to obtain the parameters of the fracture. In the method, special processing means are adopted according to the characteristics of the deep reservoir, so that the signal-to-noise ratio is improved, and the real amplitude is guaranteed to the maximum extent. By using the method, the inclined fracture of the deep reservoir can be accurately predicted; accuracy and applicability are high; and the method is an effective method for predicting a deep fractured reservoir.

The invention relates to an NaI (TI) scintillation detector gamma energy spectrum high-resolution inversion analysis process and method based on a gauss response matrix. The analysis process comprises the steps of spectral line pretreatment, peak searching and peak boundary treatment, resolution ratio ruling, background subtraction, gauss response matrix generation and inversion analysis. According to the feature of an NaI (TI) scintillation detector and the physical property of the spectrum forming process, response, in the detector, of different energy gamma photons corresponds to different full widths at half maximum of a photo peak, and the photo peak is approximate to a gauss function in shape. The parameters of the full widths at half maximum of a spectral line are extracted, the background is subtracted from the full widths at half maximum adaptively, the universal gauss response matrix between a radioactive source and a gamma spectrum is constructed, and finally the response matrix is used for inversion analysis of other gamma instrument spectrums measured by the NaI (TI) scintillation detector. The result analyzed through the method is an energy point corresponding to the measured spectral line under the response matrix or is approximate to the solution of a physical spectral line in theory, and the ability of the method to analyze the spectral line is obviously improved.

The present invention systems and methods enable configuration of functional components in integrated circuits. A present invention system and method can flexibly change the operational characteristics of functional components in an integrated circuit die based upon a variety of factors including manufacturing defects, compatibility characteristics, performance requirements, and system health (e.g., the number of components operating properly). Functional component operational behavior is tested and analyzed at various levels of configuration abstraction and component organization (e.g., topological inversion analysis). The testing and analysis can be performed in parallel on numerous functional components. Functional component configuration related information is presented in a graphical user interface (GUI) at various levels of granularity and in real time. The graphical user interface can facilitate user interaction in recognizing failure patterns, production test tuning and field configuration algorithm adjustment. The testing and analysis information can also be organized in a variety of convenient database formats.

The invention provides a leaf area index inversion method and system of merged phenological data and remote sensing data. The method comprises the steps of setting multiple sampling points used for observation in a target area, using a plant canopy analyzer for measuring leaf area indexes of plants in all the sampling points in the target area under the scattered light meteorological condition, and recording the vegetation phenological phase of the target area in the measurement process; averaging each sampling point, and obtaining the true leaf area index of the corresponding sampling point; obtaining multispectral remote sensing images observed during the same time period in the same target area, conducting pre-processing, obtaining true reflectivity images, and calculating the vegetation index of each sampling point; utilizing the vegetation indexes and the true leaf area indexes for conducting relevant analysis, and obtaining a quantitative relation model corresponding to the vegetation phenological phase of the target area in the measurement process; according to the model, conducting inversion analysis on the plant growth state of the target area during the corresponding vegetation phenological phase. By means of the leaf area index inversion method and system of the merged phenological data and the remote sensing data, dynamic monitoring of the large-area long-period vegetation leaf area indexes can be satisfied, the problem of field measurement is solved, and agricultural and forestry application requirements are met.

The invention discloses a hydration degree measurement method for cement-based materials based on nuclear magnetic resonance, which belongs to the technical field of cement material measurement. The hydration degree measurement method disclosed by the invention adopts a nuclear magnetic resonance technique to test nuclear magnetic signals of the cement-based materials at different ages; a relation between transverse relaxation time and the nuclear magnetic signals is obtained by inverse analysis; furthermore, a ratio of nuclear magnetic semaphores of left and right peaks is taken as a nuclear magnetic signal ratio of gel pore water and capillary pore water, and then the hydration degree of the cement-based materials to be detected at the age is solved according to a Powers model. Compared with traditional methods including a muffle furnace method and the like, the hydration degree measurement method disclosed by the invention is a nondestructive testing method, can reduce operation steps of a test greatly and shorten a testing period greatly, and can be used for monitoring samples continuously so as to ensure that the errors of test results are small; meanwhile, the method disclosed by the invention does not need to calibrate nuclear magnetic resonance semaphores and sample water content and directly adopts the ratio of the nuclear magnetic semaphores of the left and right peaks, namely a microstructure factor, as a parameter to represent the hydration degree, and therefore, measurement procedures and errors are reduced.

The present invention discloses an ultra-deep foundation pit pumping based ground subsidence intelligent early-warning method and monitoring system. The ground subsidence intelligent early-warning method comprises: S1. in combination with on-site reality, laying a wireless sensor at a monitoring point, so as to obtain an on-site measurement database; S2. based on on-site pumping experimental data of an ultra-deep foundation pit, performing inversion analysis on a hydrologic geological parameter by adopting groundwater flow software, and performing inversion analysis on each earth-layer project geological parameter by adopting finite element software, and establishing an ultra-deep foundation pit infinite element three-dimensional numerical model that is closest to the on-site reality, so as to obtain a ground subsidence threshold; S3. constructing a gray prediction model to perform dynamic prediction; and S4. according to an intelligent prediction and determination result, enabling an early-warning system to predict a risk, so as to implement intelligent and automated monitoring and early-warning. The method and system are capable of effectively monitoring ground subsidence invited by ultra-deep foundation pit piestic water extraction, and achieve intelligent, precise and automated ground subsidence monitoring and early-warning.

The invention discloses a construction method of a concrete dam deformation safety monitoring model, specifically, on the basis that by using the historical data of dam deformation observation, a stepwise regression model is established, a shuffled frog leaping algorithm (SFLA) with local optimization performance and global optimization performance is adopted to determine a weight coefficient of each sub-model, an inversion analysis method of dam prototype data is utilized to determine physical and mechanical parameters of a dam, a frog leaping hybrid model is established, and then a concretedam deformation safety monitoring model is obtained. According to the method, the residual error is analyzed and predicted by using the chaos theory, and the residual error prediction item is added tothe leapfrog prediction hybrid model, so that the problem that the fitting effect is good and the prediction result is poor due to the fact that the influence of the fitting residual error is not considered in a conventional dam displacement monitoring model is effectively solved.

The invention relates to a method for inhibiting moving-gimbal effects of a single gimbal magnetically suspended control moment gyroscope. In the method, a state equation of the single gimbal magnetically suspended control moment gyroscope is set up according to newton second law and a gyro technique equation; an inversion analysis of a system is calculated by utilizing an inverse system method; in a rotor system, moving-gimbal displacement of a magnetically suspended rotor is eliminated through state feedback of rotor displacement, an rotor reflection angular speed and a gimbal angular speed, and in a gimbal system, reactionary torque interference of the rotor to the gimbal system is eliminated through state feedback of the gimbal angular speed and the rotor reflection angular speed; and a robust servocontrol strategy is adopted to improve the robustness of the whole system. In the method, the moving-gimbal displacement of the magnetically suspended rotor is eliminated, the reactionary torque interference of the rotor system to the gimbal system is also eliminated in the gimbal moving process, and the stability and precision of the whole single gimbal magnetically suspended control moment gyroscope are improved. The method belongs to the technical field of aerospace control, and can be applied to high-precision control of magnetically suspended control moment gyroscopes.

The invention discloses an enhanced message service (EMS) multi-professional-data holographic storage and panoramic accident inversion method, which comprises the following steps of: a) performing integrated version management on individual professional models, human-man graphical pictures and measurement point object data corresponding to the human-man graphical pictures of an industrial enterprise energy management and control system through a global version dictionary, and storing system historical models, graphs and data versions at all moments; and b) performing distributed storage on professional real-time data of the industrial enterprise energy management and control system as time sequence data formats into a high-speed database, wherein a triggering type or periodic sampling mode is used as a storage mode. The method is an effective holographic storage method for the multi-professional-data models, the pictures and the data of the industrial enterprise energy management and control system and an accident inversion method for a full panoramic process on the basis of the holographic storage method; and the problem that the conventional large-size industrial enterprise does not have an effective energy accident inversion analysis tool can be solved.

The invention relates to a comprehensive analysis method for the stability of an excavation unloading rock mass. The comprehensive analysis method comprises the following steps of: firstly, recognizing basic data of the rock mass; secondly, researching the mechanical properties of the unloading rock mass; thirdly, analyzing the multi-station stability of the unloading rock mass; fourthly, optimally designing an excavation scheme; fifthly, taking support measures to protect the rock mass; and sixthly, monitoring the rock mass and carrying out inverse analysis. According to the comprehensive analysis method disclosed by the invention, when the stability of the excavation unloading rock mass is analyzed, a main idea is realized by recognizing the rock mass, utilizing the rock mass, supporting the rock mass and monitoring the rock mass; the analysis is realized by integrating the knowledge from multidisciplinary and applying a systematic method; and the detailed flows of stable analysis of the excavation unloading rock mass in specific projects are provided.

The invention discloses a method for testing the contact rigidity of a rock discontinuity structural plane. The method comprises the following steps: 1, selecting a test area; 2, installing vibration sensors; 3, starting a collecting instrument to make the collecting instrument in a sampling state; 4, hammering one side of the rock discontinuity structural plane, and adjusting the hammering direction to generate longitudinal waves and transverse waves vibrating along the line direction of the vibration sensors; 5, recording through the collecting instrument; 6, calculating the wave velocity of the longitudinal waves, the wave velocity of the transverse waves, the time consumption of the longitudinal waves passing through the structural plane and the time consumption of the transverse waves passing through the structural plane; 7, calculating the elastic modulus and the Poisson's ratio of a complete rock; 8, carrying out inversion analysis by means of a value technology, and establishing a value model similar to the test area; and 9, applying impact load to one side of the value model, and continuously adjusting the normal contact rigidity and the tangential contact rigidity of the structural plane in the value model to obtain the contact rigidity of the structural plane of the test area. The invention also provides an apparatus adopting the method.

A non-contact testing system and method using acoustic sensors and a mobile sensing system using this system and method is disclosed. The leaky surface wave is recorded with directional microphones. A fast inversion analysis algorithm is introduced to estimate the shear velocity profile and elastic modulus for the subsurface layers of pavement structures, using the dispersion curves obtained from the acoustic signals. An electrical hammer is used to produce impact impulses automatically. A mobile sensing system is integrated on a mobile cart to perform the mobile subsurface sensing for pavement structures.

The invention relates to the technical field of ground stress measurement, in particular to a method and a system for acquiring three-dimensional ground stress by using a rock core. The method for acquiring the three-dimensional ground stress comprises the following steps: S1, determining numerical values of known parameters and a reasonable value range of unknown parameters; S2, generating satisfied test data; S3, performing inversion analysis on the test data; S4, matching input parameter values in a reasonable value range of the unknown parameters; and S5, performing inversion analysis according to the input parameter values to obtain the three-dimensional ground stress. The three-dimensional ground stress acquisition system comprises an artificial neural network model module, an inversion analysis model module, an evolution calculation module and a controller. The controller is respectively connected with the artificial neural network model module, the inversion analysis model module and the evolution calculation module. According to the invention, inversion and evolutionary calculation are carried out on the generated test data, and reasonable matching of output parameters iscarried out, so that the estimated three-dimensional ground stress parameters are accurate, and the efficiency of obtaining the three-dimensional ground stress is improved.

The invention relates to a determining method for a water-plugging curtain permeability inversion analysis construction, in particular to the technical field of underground water management, which comprises the steps: a) a project quality target is put forward according to the project requirements, i.e. the water plugging ratio (%) and the anti-permeating standard (Lu) of a curtain body are inversely calculated by utilizing an inverse calculation method; b) the technical parameters of a curtain project are designed; c) a slurry injection test of the curtain is carried out, and the parameters are verified and perfected; d) the main body construction of the curtain is carried out according to the finally determined curtain project technical parameters, and the quality control is carried out according to the quality target determined in advance; and e) the water plugging effect of the curtain body is verified through construction check holes. The method has the advantages that the construction quality standards can be obtained in advance before the slurry injection construction of the curtain, i.e. the water plugging ratio and the anti-permeating standards of the curtain body; the method is scientific, reasonable, simple and convenient, has high accuracy and is beneficial to the guarantee of the construction quality of the construction; the efficiency is enhanced; and the method is especially suitable for the anti-permeating treatment of a dam foundation and can be widely applied to the construction of various projects of mine, water conservation and hydraulic power, railway, buildings and the like.

The invention relates to a positioning method, belongs to the technical field of geophysical exploration, and particularly relates to a coal seam floor hidden water inrush subsided column positioning method. According to the method, "secondary vibration" generated by a coal seam floor hidden subsided column acting as a high pressure water conducting channel is acquired to act as a vibration source through the ground micro-seismic monitoring technology, and the underground hidden and dynamic water point can be determined through shortest path imaging and inversion analysis so as to accurately locate the position of the hidden subsided column.

The invention relates to a method for analyzing the bearing capacity of a foundation pile by joint inversion of multiple hammering signals. The method for analyzing the bearing capacity of the foundation pile by the joint inversion of the multiple hammering signals comprises the steps that a heavy hammer is lifted from low to high to different heights, strain and acceleration response signals produced by different times of hammer impact are recorded by strain rings and accelerometers on the two symmetric sides under a pile tip, and the measured impact force and the measured particle velocity of different times of hammering are obtained from the measured signals of the positions of measure points; the particle velocity theoretical values of the corresponding hammering times are calculated from the measured forces of different times of hammering and the preset parameters of a pile-soil interaction model; the objective function related to pile-soil parameters is established by the difference value between the measured and theoretical calculating values of the particle velocity of different times of hammering; and model parameters are adjusted, and when the difference value of the previous and subsequent step objective function is less than the preset error, the calculation value of the ultimate bearing capacity and other parameters of the pile-soil interaction model are obtained.According to the method for analyzing the bearing capacity of the foundation pile by the joint inversion of the multiple hammering signals, hammer tests at different heights of the foundation pile arecarried out, the amount of data for inversion analysis is increased, the sensitivity of the optimized objective function to the variation of pile-soil interaction parameters is improved, and the uncertainty of solution in the inversion analysis is reduced.

The invention provides a dynamic prediction method for large raw material storage yard foundation deformation under graded preloading. The method includes the following steps of firstly, collecting and processing monitoring data of foundation deformation under preloading; secondly, establishing a finite element calculating model according to areal geology conditions and foundation processing requirements; thirdly, compiling a soil mass parameter inversion program through the combination with the Nelder-Mead algorithm of an exact penalty function; fourthly, conducting inversion analysis on sedimentation data through the inversion program to obtain post-surcharge-load soil mass parameters; fifthly, predicting the surcharge load foundation deformation amount of the next grade through the soil mass parameters obtained through inversion, and conducting surcharge load design of a raw material yard of the next grade on this basis. By means of the method, soil mass design parameters are unceasingly corrected through the real-time monitoring data in the surcharge load process, dynamic prediction of raw material storage yard foundation deformation under all grades of preloading is achieved, foundation is provided for foundation processing design and construction, the project investment cost is greatly saved, and high application and popularization value is achieved.

The invention relates to a two-dimensional stress field inversion method and system for different weights of normal stress and shear stress. The method comprises the steps of acquiring stress parameter measurement information of different measurement points; establishing a finite element numerical analysis model according to the engineering geological information, respectively applying loads in different directions in the two-dimensional space, and respectively determining stress calculation values at the measuring points under the action of the corresponding loads; establishing a two-dimensional crustal stress field inversion objective function model and performing inversion analysis to obtain stress calculation values and stress regression coefficients at the measurement points under different weights; and establishing an error formula for evaluating the inversion effect of the crustal stress field and determining an optimal target crustal stress field. The problem that the shear stress is easily ignored due to the numerical magnitude difference between the shear stress and the normal stress is solved, the precision of the ground stress field obtained through inversion is greatlyimproved, the distribution characteristics of the ground stress field can be accurately, reliably and efficiently obtained, and a technical support is provided for scientifically identifying the deformation and damage characteristics of the excavated chamber surrounding rock.

The invention discloses a 300m-grade high rock-fill dam material parameter inversion method based on GBSAR appearance monitoring. The method comprises the following steps: 1, respectively erecting four portable foundation radar interferometers at the left banks and the right banks of the upstream side and the downstream side of a 300m-grade high rock-fill dam, and respectively obtaining SAR images of the surface of a dam body from four orientations; 2, performing image processing on the SAR images so as to obtain surface deformations of the dam body from the four orientations, and performing three-dimensional parsing on the surface deformations of the dam body to obtain deformation values of the surface of the dam body in a rive direction, a horizontal direction and a vertical direction; and 3, by use of actually measured appearance deformations in three directions, establishing an object function by use of different weights, and performing inversion analyzing on rockfill body intensity deformation parameters of the 300m-grade high rock-fill dam. According to the invention, dam body surface deformation data with submillimeter-grade precision is obtained by use of GBSAR; and rockfill body partitioning and the evolution process of the parameters along with time are taken into consideration in parameter inversion, the inversion object function is established, and the accuracy of the parameter inversion of the rockfill body of the 300m-grade high rock-fill dam is guaranteed.

The invention discloses a Doppler laser radar wind measurement method and device. The method comprises the steps that beam splitting and power amplification are performed on a first laser source and a second laser source and then coherent beam combining is performed on the first laser source and the second laser source under the synchronous phase-locked state by using an optical phase-locked loop feedback circuit module; the combined laser beams are transmitted to the atmosphere and then echo optical signals are collected; heterodyne beat detection is performed on the collected echo optical signals and the oscillating optical signals of the device; and wind speed inversion analysis is performed on the detected spectrum data. The frequency shift effect is realized by adjusting the frequency difference between the first and second laser sources, and the acousto-optic frequency shift device in the prior art is replaced so that the more abundant extension modes and the more flexible spectrum data analysis selection can be provided for the laser radar system.

Disclosed here are systems and methods to enable configuration of functional components in integrated circuits. A present invention system and method can flexibly change the operational characteristics of functional components in an integrated circuit die based upon a variety of factors including manufacturing defects, compatibility characteristics, performance requirements, and system health (e.g., the number of components operating properly). Functional component operational behavior is tested and analyzed at various levels of configuration abstraction and component organization (e.g., topological inversion analysis). The testing and analysis can be performed in parallel on numerous functional components. Functional component configuration related information is presented in a graphical user interface (GUI) at various levels of granularity and in real time.; The graphical user interface can facilitate user interaction in recognizing failure patterns, production test tuning and field configuration algorithm adjustment. The testing and analysis information can also be organized in a variety of convenient database formats.

The invention provides a numerical inversion analysis method based on a structural stress monitoring result, and the method comprises the following steps: S1, selecting a plurality of stress monitoring points, applying a local load nearby the stress monitoring points, and carrying out the measurement and calculation to obtain the actually measured structural stress change values at the stress monitoring points; S2, selecting a structure object and establishing a finite element grid; S3, selecting an initial boundary load; S4, calculating the stress of each stress monitoring point under the initial boundary load; S5, performing parameter regression on the stress and structure stress change relational expression to obtain a preliminary numerical model of the boundary load of the structure object; and S6, checking and calibrating the preliminary numerical model to obtain a final numerical model. According to the method, the advantages of a numerical calculation method and an on-site actual measurement method are effectively exerted, and the initial stress of a measurement point is obtained, and guidance is provided for long-term monitoring of the structural stress of an ocean platform.

The invention relates to a deformation monitoring data processing and analysis method based on a discrete smooth interpolation technology. The method is suitable for deformation monitoring data processing and analysis of underground caves and slopes under complex geological conditions in the industries of transportation, water conservancy, hydropower, mines and the like. The invention provides the deformation monitoring data processing and analyzing method based on the discrete smooth interpolation technology. Typical cross section and three-dimensional global deformation field analysis characteristics are obtained through finite point deformation monitoring data interpolation; and deformation field distribution characteristics are obtained through inversion analysis of the comparison numerical model, so that the reasonability of the monitoring data and the stability characteristics of the surrounding rock and the side slope of the underground cavern are analyzed and evaluated from local and global dimensions.