103 results about "Back analysis" patented technology

The invention provides a multi-tenant cloud computing-oriented container security monitoring method and system. The method comprises the steps that 1), a cloud computing management platform allocatesvirtual machines to tenants and deploys monitoring programs in the virtual machines; 2), container clusters are established for the tenants on the virtual machines and containers in the container clusters are operated; 3), system call information in container operation processes are monitored through the monitoring programs, and the system call information is filtered in the virtual machines; 4),the filtered system call information is transmitted to a monitoring collection and analysis host; and 5), the monitoring collection and analysis host collects and analyzes the system call information,analyzes whether abnormities occur in the operation of the containers or not and feeds back analysis results to a system manager and the tenants. According to the method and the system, the usage condition of the user containers can be monitored in real time under a large-scale public cloud environment, the abnormal condition can be processed timely, and the security and the stability of a systemcan be improved.

The invention relates to an experiment-numerical analysis combined determination method for the relative permeability coefficient of unsaturated soil. The method comprises simple experiment tests and numerical analyses, the relative permeability coefficient equation of soil under unsaturated state is obtained via simple laboratory experiments and numerical optimization fitting analyses, therefore, the relative permeability coefficient of the unsaturated soil is obtained by calculation. The method is mainly suitable for cohesive soil with a small permeability coefficient. At the same time, the invention provides a numerical analysis procedure which comprises a basic analysis module and an optimization back analysis module, wherein the basic analysis module simulates the dehydration process of test specimens under the condition of a given boundary; the optimization back analysis module takes a determined dehydration mass-time curve as basic input to confirm two parameters Pr and m describing the changes of the relative permeability coefficient of the unsaturated soil along with saturation via an orthogonal optimization method in the numerical analyses. The method is simple in experiments, convenient to operate, wide in usable ranges and good in accuracy; the determined relative permeability coefficient equation can be directly applied to soil engineering structure analyses.

Provided are a system for real-time analysis of a golf swing motion on a golf club and an operating method thereof. More particularly, the operating method of the system for real-time analysis of a golf swing motion on a golf club includes: automatically identifying information of a golf club to be used by a user using a club identification circuit attached to the golf club (S100); sensing swing information by sensing a motion of the golf club (S200); analyzing the swing motion of the user using the information of the golf club identified in the identifying of the information of the golf club (S100) and the swing information sensed in the sensing of the swing (S200) (S300); and feeding back analysis results of the swing motion analyzed in the analyzing of the swing motion (S300) to a user terminal in real time (S400).

A method and a system are presented for determining the observability of faults in an electronic circuit. In the method, for each element the time periods are determined in which an occurrent fault could cause a deviation in analysis output signals.

In a fast gas chromatograph (GC) method and device for obtaining fast gas chromatography analysis, a capillary gas chromatography column is inserted into a resistively heated metal tube located mostly outside a standard gas chromatograph oven, which may serve as a heated transfer line to a flexible column that enters the resistively heated metal tube from its injector and exits into its detector. The fast GC device enables less than one minute full range temperature programming and cooling back analysis cycle time. The fast GC according to one embodiment is combined with mass spectrometry with supersonic molecular beams for the provision of fast analysis cycle time together with highly informative mass spectral information for improved sample analysis and identification.

The invention discloses a system for temperature control and crack prevention intelligent monitoring of a concrete dam. The system for the temperature control and crack prevention intelligent monitoring of the concrete dam is capable of quickening a construction process of a concrete dam and satisfying complex construction and environment conditions. The system for the temperature control and crack prevention intelligent monitoring of the concrete dam comprises a concrete temperature control information collecting unit, a concrete temperature control information control and temperature control implementation evaluating unit, a concrete temperature stress simulated analysis and back analysis unit, a concrete cracking risk real-time early-warning unit and a concrete temperature control and crack prevention feedback and automatic interfering unit, wherein the concrete temperature control information collecting unit, the concrete temperature control information control and temperature control implementation evaluating unit, the concrete temperature stress simulated analysis and back analysis unit, the concrete cracking risk real-time early-warning unit and the concrete temperature control and crack prevention feedback and automatic interfering unit are connected in sequence. Temperature control monitoring data information is collected in real time through the concrete temperature control information collecting unit, the temperature control monitoring data information is stored, controlled, shared and evaluated by the concrete temperature control information control and temperature control implementation evaluating unit, calculation is carried out by the concrete temperature stress simulated analysis and back analysis unit, concrete cracking risk real-time early-warning information is combined, and on-spot temperature control measures are interfered, revised and adjusted through the concrete temperature control and crack prevention feedback and automatic interfering unit. The invention further provides a method using the system.

The invention relates to a method for water inrush prediction and seepage control for underwater-tunnel broken surrounding rocks. The method includes the steps of S1), exploring by adopting a geophysical exploration and advanced-level geological drilling method and performing tests; S2), establishing a saltation prediction model of analytic hierarchy grey correlation of water inrush of the surrounding rocks by adopting an analytic hierarchy grey correlation method; S3), establishing a three-dimensional porous continuous medium fluid-structure coupled finite element model of the underwater-tunnel broken surrounding rocks by adopting an orthogonal back-analysis method; S4), performing dynamic prediction and seepage control on water inflow of the broken surrounding rocks and performing intelligent fuzzy logic control and instability early-warning forecast on high-pressure water inrush of the broken surrounding rocks; S5), adopting comprehensive prevention and control measures. Compared with the prior art, the method has the advantages that instability of water inrush of the underwater-tunnel broken surrounding rocks under high water pressure can be predicted and subjected to economical, reasonable, safe and reliable comprehensive seepage control.

The invention discloses an estimating method for stratum deformation induced by shield subway construction and the influence of stratum deformation on ancient buildings. The estimating method comprises an induction back analysis and value inversion analysis method based on actually-measured data, the calculation method, based on the stratum loss principle, of ground surface settlement induced by shield construction and an ancient building foundation deformation characteristic evaluation method based on the stiffness correction method. Through the induction back analysis and value inversion analysis method based on the actually-measured data in engineering practice, the characteristic parameters and the characteristic parameter rules of stratum displacement induced by shield subway construction are obtained; based on the stratum loss principle and the Peck formula, the ground surface settlement predicting formula of shield construction parameters is provided; and finally, the stiffness correction method principle is introduced into the formula to estimate the deformation characteristics of the ancient building foundations, so that the systematic evaluation of stratum displacement and the influence of the stratum displacement on the ancient buildings is achieved, and a feedback analysis method is provided for prediction of stratum displacement induced by shield subway construction and the control measures of the construction technique.

The invention belongs to the technical field of geology prediction, and relates to a method for detecting influence of underground construction on a structure of a ground building. The method comprises the following steps: firstly detecting a ground subsidence value and the vibration of a concrete construction during blast, determining surface movement parameters by using a random medium theory back analysis method, adopting a population-level-based adaptive genetic algorithm, and using a back analysis calculation program prepared by Matlab to perform back analysis of the surface movement parameters; calculating the ground subsidence value by a random medium theory according to the obtained surface movement parameters; and building a concrete construction finite element model after detecting the concrete construction and component sizes on site, then calculating concrete construction stress of the ground building under the action of subsidence and blast, and lastly extracting the stress and performing quantitative damage prediction on the ground building structure. The process principle of the design is scientific and reliable, the data acquisition is simple and accurate, the calculation analysis is good in reliability and high in precision, the prediction result is accurate, the safety is good, and environment protection is realized.

The invention provides a multi-means, dynamic and whole-process landslide prewarning method. The method includes: performing macroscopic observation, engineering exploration data monitoring and displacement monitoring on landslide; performing macro damage phenomenon analysis and influence factor analysis according to a result of macro observation; building a numerical value model and performing parameter indicator determination according to a result of engineering exploration data monitoring; performing displacement back analysis and displacement tendency analysis according to a result of displacement monitoring; building a correcting numerical value model according to influence factor analysis and the built numerical value model; determining calculating parameters through parameter indicator determination and displacement back analysis; performing numerical value analog calculation analysis according to the correcting numerical value calculating model and the calculating parameters; calculating a displacement-time curve under a series of different stability safe coefficients according to numerical value analog calculation analysis; drawing a monitoring displacement-time curve according to displacement tendency analysis; comparing the above two curves to determine stability state of the landslide. By the method, landslide disaster recognition, prewarning and control level can be improved effectively.

The invention discloses a back analysis method of slope displacement based on safety monitoring. In the method, displacement monitoring data is fully utilized to perform optimized inversion and determine the rock mechanical parameter, the minimum error function between the displacement value of numerical calculation and the monitored displacement value is used as a target function, the modified particle swarm intelligent algorithm is utilized to optimize the target function, the numerical calculation is combined with the modified particle swarm intelligent optimization inversion method, and repeated iteration is carried out to fast converge the target function at a globally optimal solution, therefore, the optimal value of the specific parameter is determined, and a corresponding relationship between the displacement monitoring value and the rock mechanical parameter is established. In a practical project, the displacement value predicted by using the mechanical parameter of inversion perfectly matches with the actually measured displacement value and has little error, which indicates that the inversion method of the invention has relatively good practical application value in the back analysis of rock displacement.

The invention discloses a back analysis method of frictional characteristics of a vehicle collision passenger constrained system based on injury evaluation. According to the method, based on establishing a direct problem simulation model of the vehicle passenger constrained system, vehicle collision experimental data is utilized for reverse calculation to determine the frictional parameters of the constrained system. The method takes the accelerated speed and injury evaluation indicators of all parts of a passenger acquired through simulating calculation, and a minimum error function through an experimental measurement response as objective functions, and adopts a proper optimized algorithm to perform iterative optimization on to-be-identified parameters. When the error between the calculation response and the measurement response is the minimum in the least-squares method, the frictional parameters of the constrained system can be acquired through reverse calculation. Through the adoption of the method, the actual frictional parameters of the constrained system during the vehicle collision process can be correctly and effectively acquired, the frictional parameters including the frictional coefficient between a shoulder girdle of a seat belt and the shoulder of a passenger, the frictional coefficient between the shoulder girdle of the seat belt and the chest of the passenger, and the frictional coefficient between the shoulder girdle of the seat belt and the belly of the passenger can not be determined according to a conventional method.

The invention discloses a method for forecasting a range of surface movement induced by underground mining of an open-pit iron mine end slope. The method comprises the following steps: constructing an equivalent jointing rock mass model for an ore body mining region of an open-pit mine end slope, and simulating rock stratum and surface movement induced by ore body mining under the open-pit mine end slope and a destroy discipline; performing parameter back analysis on the equivalent jointing rock mass model; simulating and inverting mechanical parameters of the jointing surface according to an orthogonal experiment and values to obtain an optimal mechanical parameter of the jointing surface; forecasting the range of the surface movement induced by the ore body mining from the open-pit mine end slope: simulating open-pit mine end slope ore body mining through the equivalent jointing rock mass model, calculating displacements of all points on the surface in the X direction, the Y direction and the Z direction, and drawing a displacement contour map, and selecting a boundary of the range of the surface movement to forecast the range of the surface movement. The method is used for analyzing the surface movement induced by the underground mining of the open-pit mine end slope, so that the deformation and destroy states of the surface in different mining stages can be determined; a basis is supplied to safe production, and casualties and property loss which are caused by the surface movement and collapse are avoided.

The invention provides a method for solving solution of elastic foundation beams and for back analysis of value m, belonging to the technical field of geotechnical engineering. The method comprises the following steps of: 1, firstly, converting a fourth order partial differential equation of the elastic foundation beam into a low order partial differential equation set, and setting iteration times and admissible errors; 1, taking a minimum error function of a displacement value sol.y obtained in the step one and an actually-measured displacement value as an objective function, wherein the minimum error function is the sum of squares of difference values; 3, optimizing the objective function in the second step by the application of MATLAB nonlinear optimization algorithm fmincon functions, when reaching the iteration times or the admissible errors set in the first step, stopping iteration, and in this case, the objective function reaching the minimum value; and 4, the parameters corresponding to the minimum value of the objective function being the optimum solution of horizontal resistance factor value m of the to-be-determined soil layer foundation soil. The method provided by the invention is simple in analysis process and easy for programming.

The invention discloses a method for time alignment between interference SAR echo data and platform motion and gesture data. The method comprises the steps of selecting the interference SAR echo data corresponding to a flat ground scene, acquiring the platform motion and gesture data corresponding to the interference SAR echo data and measured by a platform inertial navigation / GPS device, compensating the interference SAR echo data by means of the platform motion and gesture data when a roll angle is 0 degree to further obtain a scene digital elevation model through back analysis, acquiring an elevation azimuth wave function from the scene digital elevation model, acquiring the changing function of the roll angle from the platform motion and gesture data, solving a time value corresponding to the most value of a cross-correlation function of the elevation azimuth wave function and the changing function of the roll angle and taking the time value as time displacement quantity, and carrying out time displacement on the platform motion and gesture data according to the time displacement quantity and achieving the time alignment between the interference SAR echo data and the platform motion and gesture data.

A method and computer program product of either preventing or minimizing pore pressure increase near the wellbore wall within argillaceous formations through which a borehole has been drilled. By interpreting relevant drilling experience data, the type, extent and time-dependency of wellbore instability mechanisms are determined. The impact of drilling mud designs on the time-dependent wellbore instability and hole enlargement is determined by back-analyzing observed drilling events. At least one field-based criterion relationship between net mud weight reduction percentage ratio and hole enlargement is determined. A maximum allowable percentage ratio(s) of net mud weight reduction and either breakout mud weight or mud weight used for the adopted maximum hole enlargement that the wellbore may experience during drilling is determined. Drilling mud salinity value and salt type to satisfy maximum allowable percentage ratio(s) is then determined.

The invention discloses a method for detecting the stability of a roadway group surrounding rock by utilizing blasting operation vibration waves. The method comprises the following steps: taking blasting earthquake waves of roadways under construction as detection signal sources; distributing a blasting earthquake monitoring instrument in each constructed roadway; utilizing a distance and a time difference of two adjacent measuring points to obtain transmission apparent velocities of each earthquake wave among the adjacent measuring points of a roadway surrounding rock to be detected; calculating quality factors of rock bodies of the adjacent measuring points by utilizing predominant frequencies of the different measuring points; judging the quality of the surrounding rock by utilizing the change of the apparent velocities and the quality factors. According to the method disclosed by the invention, a concept of an earthquake exploration technology is used for reference and blasting direct waves which have strongest energy and are most easily recognized are sufficiently utilized, the direct waves are recorded, and the treatment on the aspects of time and frequency is carried out; the change of a time domain and a frequency domain index is utilized to realize the back analysis of the state of the roadway group surrounding rock.

The invention discloses a comprehensive brittleness evaluation method of supracrustal rocks of gas storage, and belongs to the technical field of rock brittleness evaluation. Firstly, the brittleness of a collected rock sample is evaluated on the basis of brittleness evaluation methods respectively based on a stress-strain curve, hardness and mineral composition; then the weighted value of the three brittleness evaluation methods is calculated by means of a weight back analysis method based on optimization theory; finally, comprehensive evaluation on the brittleness of the supracrustal rocks of gas storage is carried out. The method effectively solves a problem of limitation of single brittleness evaluation method in the prior art and has excellent practicability and high evaluation reliability. The collected rock sample has multiple applications, so that test cost is low.

The invention discloses a method for monitoring rammed point soil stabilization state vibration in real time. The method comprises the two steps of trial ramming and construction. According to the step of trial ramming, a trial rammed point is selected, a measurement line and a monitoring point are arranged, a vibration pickup and a collecting and recording device are arranged, forced-ramming vibration of the monitoring point is observed, back analysis is carried out on the rammed point soil vibration, characteristic parameters of the rammed point soil vibration are obtained, soil of the rammed point soil is extracted to be tested, rammed point soil stabilization state parameters are obtained, a quantitative relation between the characteristic parameters of the rammed point soil vibration and the rammed point soil stabilization state parameters is set, and monitoring criteria of the rammed point soil forced-ramming stabilization state vibration are set. According to the step of construction, a forced-ramming vibration monitoring system is arranged, forced-ramming vibration is monitored, back analysis is carried out on the rammed point soil vibration, and the rammed point soil stabilization state is judged according to the monitoring criteria of the rammed point soil heave-ramming stabilization state vibration. The method for monitoring the rammed point soil stabilization state vibration in real time can improve efficiency and accuracy for monitoring the rammed point soil stabilization state, and lower the construction cost.

A highly convenient design support method and design support system for a heat convection field or a mass diffusion field which significantly reduce the number of times of numerical simulation required to examine the designing parameters for achieving the design purpose. The design support method includes a forward analysis step of analyzing the heat convection field or the mass diffusion field by solving an equation of the heat convection field or the mass diffusion field based on an initially set value of a designing parameter, an inverse analysis step of analyzing a sensitivity defined by a change ratio of the design purpose to a designing parameter change by solving an adjoint equation corresponding to the design purpose based on the set design purpose, and a sensitivity display step of displaying information on the sensitivity analyzed by inverse analysis step as a graphic image on the display device.

The invention discloses a method for constructing a light gauge welding residual stress field on the basis of small-hole process tested data. The method comprises the following steps of: firstly, testing a residual stress of a weld assembly by adopting a small hole process, carrying out interpolation fitting on the tested stress values, then sequentially substituting each first-order polynomial in a finite element model by using a high-order Chebyshev polynomial as a primary function of representing unknown intrinsic strain causing the welding residual stress, carrying out calculation of elasticity to obtain calculated stress values of coordinate points with same tested stresses, selecting a coefficient enabling the quadratic sum of differences of the calculated stress values and the fitted tested stress values to be minimum as an intrinsic strain coefficient, multiplying the intrinsic strain coefficient by corresponding all order polynomials and then linearly overlapping to be used as an intrinsic strain, and finally obtaining a welding residual stress field through a finite element process. On the basis of the small hole process tested data, the intrinsic strain causing the welding residual stress is constructed by using a thermo-elasticity finite element method and a reverse analysis method, therefore, the distribution of the light gauge welding residual stress field is obtained; and the method is convenient to operate and high in efficiency.

The invention discloses a rock mass mechanical parameter back analysis method, and relates to a parameter back analysis method. The method comprises the following steps: S1, determining rock mechanical parameters to be inversed, and constructing a calculation scheme of a training sample on the basis of a uniform test design method; S2, performing numerical calculation on each constructed scheme toobtain a valley amplitude deformation value corresponding to each scheme, and forming an input and output value of an SDCS-LSSVM algorithm by the calculation scheme and the corresponding valley amplitude deformation calculation value; S3, based on the input and output samples obtained in the step S2, establishing a nonlinear mapping relationship between rock mechanics parameters and valley amplitude deformation values by learning input and output sample data; and S4, solving an optimal solution of the target function, and determining an optimal mechanical parameter combination. According to the method, a rock-soil body material parameter back analysis regression model is constructed, an improved cuckoo algorithm is adopted to search inversion parameters most matched with actual measurement displacement from the global space, and the prediction effect of the model is improved.

The invention relates to an indicator system generation method based on an entropy weight method. Based on the safety management indicator system of the chemical enterprise, the method researches reasonable improvement and updating on the basis of the original indicator system to construct a new indicator system. The basis of improvement is that the historical chemical accident cases act as the analysis data according to the irrationality of the data reverse analysis indicator weight. The entropy weight method is not the algorithm of a large number of sample data assignment, the entropy weightmethod is adopted to evaluate the sample quality to form the sample weight, the weight of the safety indicator system is reversely analyzed and calculated on the basis of the data and the indicator weight is appropriately adjusted and updated. Reasonable and necessary modification is made according to the actual situation so that continuous improvement of enterprise safety supervision and safetyevaluation can be promoted and the risk avoidance can be better performed.

The invention relates to a spring-back analysis and full-profile compensation method for a cold-stamped part of an automobile fender and belongs to the field of manufacturing of stamping molds for automobile covering parts. The method comprises specific steps as follows: step 1: a spring-back result of the part of the fender is predicted as follows: analog simulation is performed on the forming process of the part of the fender by the aid of finite element analysis software AutoForm, and the spring-back result is predicted; step 2: a spring-back compensation scheme for the part of the fender is determined; step 3: full-profile spring-back compensation for the part of the fender is performed, and multiple rounds of iterative compensation is performed by the aid of the finite element analysis software AutoForm until the size requirements are met; step 4: product data of the part of the fender are reconstructed. The method has the positive effects that the defects of low fender size precision and high mold transformation workload in the past are overcome by the aid of fender spring-back analysis and spring-back compensation based on the finite element analysis technology, the qualityof a fender product is substantially improved, the mold debugging cost is reduced, and the mold debugging period is shortened.

The invention relates to remote three-dimensional digital alarm method and system of the deformation stability of a primary tunnel supporting body. In the invention, a three-dimensional strain numerical model of a tunnel excavation supporting body in a construction area is established on the basis of tunnel construction area geological survey data and a FLAC (Free Lossless Audio Codec) 3D technology; an intelligent displacement back analysis model is established on the basis of a differential evolution method, and a three-dimensional visualized safe alarm platform is established on the basis of a VTK (Visualization Toolkit) business software system; the real-time deformation monitoring data of the tunnel supporting body is acquired by a full-section laser scanner arranged between two lining areas and transmitted to a remote user computer; obtained actual measurement displacement data is subjected to the displacement forward and back analysis of the differential evolution method by the three-dimensional strain numerical model and the intelligent displacement back analysis model of the tunnel excavation supporting body and displayed through the three-dimensional visualized safe alarm platform; the grading alarm of the deformation stability of a tunnel supporting structure is carried out by analyzing an actual measurement displacement value and the deformation threshold value of the primary tunnel supporting body, which is obtained through the displacement forward and back analysis, and alarm information is sent to a mobile phone of a related person in a mobile phone text message way so that the alarm of the deformation stability of the primary tunnel supporting body is completed, and therefore, the construction safety is enhanced.

The invention discloses a back analysis identification method for parameters of a dynamic re-crystallizing model. Based on a genetic neural network cellular automatic machine, the method is characterized in that the method comprises the following steps of: 1) confirming a value range of parameters and designing and establishing a test scheme; 2) performing analog computation and establishing a learning sample library; 3) establishing a BP (Back Propagation) neural network; 4) training the BP neural network and establishing a nonlinear mapping relation; 5) randomly selecting at least one set of parameters and forecasting a flow stress; 6) comparing a precast value with a really measured value till an error meets a design demand; and 7) storing an optimum parameter value with the error meeting the design demand. Haphazardry of a dynamic re-crystallizing parameter value is overcome; the dynamic re-crystallizing parameter value is calculated by utilizing an orthogonal test, a genetic algorithm, a neural network and numerical simulation optimization; the problems of instability, strong nonlinearity, large calculating quantity and uneven learning sample during a back analysis optimizingcalculation are solved; and the accuracy and the rapidity of re-crystallizing parameter value are obviously promoted.

The invention establishes a construction area tunnel excavation three-dimensional strain numerical model based on tunnel construction areal geology reconnaissance documents and an FLAC3D (Fast Lagrangian Analysis of Continua in 3-D) technology, establishes an intelligent displacement back analysis model based on a difference evolution method and establishes a three-dimensional visualization safety early warming platform based on a VTK (Visualization Tool Kit) commercial software system. The method comprises the following steps: acquiring real-time monitoring data of tunnel initial convergence displacement; transmitting the real-time monitoring data to a user computer; analyzing the obtained real-time monitoring displacement data by using the tunnel excavation three-dimensional strain numerical model and the intelligent displacement back analysis model; carry out displacement normal and back analysis by using the difference evolution method; displaying through the visualization safety early warming platform; analyzing and comparing real-time monitoring displacement values with a surrounding rock convergence deformation threshold obtained from the normal and back analysis; and subsequently carrying out graded early warming about the deformation stability of a tunnel supporting structure, wherein the early warming information is transmitted to cell phones of relevant on-site construction and ground management personnel through a short message module connected with a computer through a cell phone short message, so as to accomplish the remote three-dimensional digital safety early warming for tunnel construction landslides.

The invention discloses a temperature and stress analysis and back analysis method used for crack control of a concrete dam. The temperature and stress analysis and back analysis method includes that a design of a three-layered B / S structure is adopted, wherein a first layer is a presentation layer, namely a data acquisition layer, a second layer is an application layer comprising a WEB server and an application server as well as implementation of the middleware technology, a third layer is a data layer used for storing and managing various information by adopting an SQLserver database; the structure comprises a data acquisition and analysis module, a simulation calculation module, a back analysis module and a post-processing analysis warning module. Through the three-layered structure and the four modules, temperature and stress changes of concrete during construction can be tracked and analyzed in real time, so that the current temperature and stress can be timely known and future temperature and stress can be predicted.

The invention discloses a slope back analysis method based on anchoring load monitoring data, which starts with the anchoring load monitoring data to establish the relations among monitoring data and equivalent mechanical parameters of a rock-soil body as well as the variation trend of slop stability coefficients according to an objective functional expression. The slope back analysis has the technical effect that the mapping relation between the equivalent mechanical parameters of the rock-soil body and the anchoring load monitoring data is established through an objective function to calculate the equivalent mechanical parameters of the rock-soil body where an anchoring body is positioned, and further deduce the variation trend of the slope stability coefficients.