31 results about "Tolerance analysis" patented technology

The invention relates to the technical field of environment adaptability testing, and discloses an identification key performance comprehensive environment adaptability testing system. The system comprises a multi-environment factor acquisition and processing module for acquiring data and performing normalization preprocessing; the environment scene dynamic modeling module is used for constructing a multi-dimensional association graph and updating a topological structure; the performance index evaluation module evaluates a performance degradation index in a composite environment by means of a spatial-temporal feature fusion algorithm; the failure mode prediction module is used for generating a potential failure mode under multi-environment coupling according to the performance degradation trend and the stress accumulation effect; the environment tolerance analysis module is used for integrating data to establish a virtual model and outputting a tolerance residual error of a specific environment section; the test scheme optimization module is used for generating a self-adaptive test sequence according to the residual error and the map; and the environment scene simulation control module is used for regulating and controlling parameters of the test cabin in combination with multiple information. The system can comprehensively and accurately evaluate the performance and endurance capability of equipment in a composite environment, and has a dynamic adjustment characteristic.

The invention relates to the technical field of assembly tolerance analysis and optimization based on Monte Carlo simulation, discloses an assembly tolerance analysis and optimization method and system based on Monte Carlo simulation, and provides an assembly tolerance analysis and optimization method and system based on Monte Carlo simulation. The invention provides an assembly tolerance analysis and optimization method and system based on Monte Carlo simulation, and the method comprises the steps: carrying out the explicit modeling of the deformation response of a flexible part as a node control point displacement vector, and constructing an error propagation structure expression model through combining a dimension chain topological structure; accurate expression and transfer modeling of flexible response and error coupling in a complex assembly path are achieved, and the problem of error propagation distortion caused by neglecting flexible deformation or simplifying modeling in a traditional method is effectively solved.

The invention discloses a crack tolerance analysis method for a saddle-shaped welding seam of an integral reinforcing connecting pipe of nuclear pressure-bearing equipment, and belongs to the technical field of reliability. The method comprises the following steps: firstly, establishing a three-dimensional model containing a crack structure and defining crack parameters; carrying out finite element analysis after applying a load; and the critical crack size is determined by iteratively adjusting the crack depth in the failure evaluation diagram. Carrying out sampling analysis by taking the load and the material parameters as random variables to obtain a critical crack size set; and finally, the failure probability reaches a target allowable value by adjusting a crack detection threshold value of nondestructive testing. According to the method, finite element simulation is carried out, the critical crack size of the saddle-shaped welding seam of the integral reinforcing connecting pipe of the pressure-bearing equipment under the complex load is checked based on a failure evaluation icon, the relation between the critical crack size and the allowable crack size is established by assuming that the crack size detected by nondestructive testing obeys normal distribution, and the test efficiency is improved while the number of experiments is reduced. And the reliability of a calculation result is ensured.

The invention discloses a Gaussian beam shaping rod mirror optimization method. The method comprises the following steps: S1, calculating the spatial distribution of laser beams through ray tracing; s2, according to the physical model of the flat-topped light beam, deriving a mapping function relational expression of any light on an incident plane and an emergent plane, and constructing an optimization algorithm evaluation function; s3, performing optimization design on the optical structure of the rod mirror shaping system through a particle swarm optimization algorithm; and S4, evaluating the machinability of the rod mirror shaping system by using tolerance analysis. The processing feasibility of the optical element can be determined, the stability of the shaping system is improved, the design difficulty of the beam shaping system is reduced, and a better beam shaping effect and a higher energy utilization rate are realized.

This invention discloses a method, apparatus, electronic device, and storage medium for predicting tolerances of aircraft structures. The method includes: acquiring first data corresponding to the aircraft structure; wherein the first data includes at least one structural parameter of the aircraft structure; performing tolerance prediction on the first data based on a first model to obtain second data corresponding to the aircraft structure; wherein the second data is tolerance analysis result data of the aircraft structure; and the first model is a neural network model. This technical solution enables efficient and accurate tolerance analysis of aircraft structures, reduces reliance on the experience of analysts, shortens simulation iteration cycles, and reduces application costs.

The present application relates to the field of information technology, and discloses a method for evaluating and predicting the adaptability of soft capsules to the environment, which comprises the following steps: generating an environmental risk sequence according to the environmental data and the logistics and storage scene data, and obtaining product tolerance analysis results through simulation analysis; predicting the potential damage probability by using the product tolerance analysis results, and determining the storage adaptability of the target product in the proposed sales area; performing an accelerated aging experiment on a product sample according to the composite environmental stress spectrum, collecting aging-related data, and determining stability indicators; constructing a time series data set, analyzing the coupling relationship and lag effect between different indicators in the time series data set; identifying a key acceleration path according to the analysis results, and correcting a shelf life prediction model; and inputting the environmental stress spectrum of different market areas into the corrected shelf life prediction model to calculate the differentiated shelf life prediction value.

The invention provides an automobile side door assembly dimension chain analysis method, which comprises the following steps of: acquiring models of all parts in an automobile side door assembly area, and importing the models of all the parts into dimension tolerance analysis software; and analyzing an assembly relationship and a spatial constraint relationship among the parts. And the assembly relation of all the parts is analyzed in software. According to the geometric dimension tolerance drawing and the spatial constraint relation, constraint elements of the software are established, and tolerance is given to constraint points according to the drawing. And constructing a virtual tool to restrain the X-axis position and the Z-axis position of the side door on the body-in-white. And according to the assembly relationship and the spatial constraint relationship, performing assembly constraint on each part in the software. A measuring element is established on the side door and the body-in-white at an interval of a preset distance and is used for solving simulation data of dimensional tolerance analysis software. Simulation results are obtained through simulation, dimensional tolerance optimization is carried out according to analysis results, the key control points of the automobile side door assembly area are ranked according to the sensitive factors, and therefore the assembly accuracy can be effectively improved.

This invention provides a method for tolerance analysis of the inlet ring clearance of a nuclear power plant main pump. By taking the clearance between the main pump impeller inlet ring and the suction duct as the optimization target and constructing a dimensional chain, and combining 3D modeling and tolerance analysis software, the method achieves precise definition of assembly relationships and tolerance parameters. At the same time, it introduces rotor dynamics deflection deformation calculation and conditional assembly logic, which can truly reflect the tolerance accumulation law of the main pump under 3D assembly and operating conditions. This significantly improves the accuracy and reliability of clearance tolerance analysis, effectively avoids the risk of rotor rubbing during operation, reduces testing and assembly costs, and thus ensures the long-term safe and stable operation of the nuclear power plant main pump.

The invention relates to a weighted MTF (Modulation Transfer Function)-based tolerance analysis method for an optical-digital combined system, and aims to solve the technical problem that the reliability of a tolerance range obtained by tolerance analysis is relatively low because an evaluation result highly depends on a test scene due to the fact that an image quality evaluation index is not objective enough in the prior art. Monte Carlo experiments based on full-band weighted MTF in the Nyquist frequency are performed on the surface shape error, the installation and adjustment eccentricity error and the installation and adjustment inclination error of the free-form surface optical element respectively, critical values of all tolerances are found out, the critical values of all the tolerances are zoomed through zooming coefficients, the experiments are repeated, and the free-form surface optical element is obtained. And finally determining a critical value of each tolerance item.

The invention relates to the technical field of storage box assembly, in particular to an additive manufacturing storage box assembly method based on digital twinning. The embodiment of the invention provides an additive manufacturing storage box assembly method based on digital twinning, which comprises the following steps: carrying out three-dimensional scanning on storage box parts obtained by 3D printing to obtain point cloud data of an actual geometric model; comparing the point cloud data with an original CAD design model to generate a digital twin representing manufacturing deviation; importing the digital twin and mating part model into an assembly simulation environment, simulating an assembly process, analyzing to obtain an assembly problem, performing tolerance analysis on the assembly problem, and evaluating the influence of manufacturing tolerance on the performance of an assembly; and generating an optimized processing scheme according to the assembly problem and the evaluation result. The embodiment of the invention provides an additive manufacturing storage box assembling method based on digital twinning. The storage box can be assembled in a high-precision mode.

The invention relates to the technical field of optical instrument design, and discloses a line-distance-variable grating spectrometer performance and tolerance collaborative optimization method, a spectrometer, a system, a terminal and a medium, and the method comprises the steps: constructing a performance evaluation function of the spectrometer; determining an optimization variable, and obtaining a target optimization result meeting requirements according to the performance evaluation function and the optimization variable; performing tolerance analysis according to the target optimization result to obtain an evaluation result; and determining a design result of the spectrometer according to the evaluation result. According to the method, a strict ray tracing method is adopted to replace an approximation formula, the calculation precision is improved, high performance is pursued, and meanwhile it is ensured that the design scheme has the high yield under existing machining and assembling tolerances.

The invention relates to the technical field of miter gate manufacturing quality evaluation, in particular to a miter gate manufacturing quality geometric tolerance analysis method based on a center line up-drawing device, which comprises the following steps of: acquiring three-dimensional coordinates of main components of a miter gate based on the center line up-drawing device and a total station; the center line upward guiding device comprises a fixing part, a coarse adjustment part, a horizontal fine adjustment base, a vertical fine adjustment base, a transmission part, a leveling device and an aligning device. Based on the collected three-dimensional coordinates, a miter gate geometric tolerance analysis model is established with the center line of the bottom cross beam and the center line of the gate leaf as the benchmark; and analyzing the geometric quality of the miter gate based on the miter gate geometric tolerance analysis model. According to the invention, efficient acquisition and accurate analysis of parameters such as the width of the gate body, the straightness of the door shaft column and the beveled connection column are realized, data acquisition is more efficient, data analysis is more accurate, and the manufacturing precision of the miter gate and the reliability of an analysis result are effectively improved.

This invention belongs to the field of optical design technology, and particularly relates to a tolerance sensitivity analysis method for lighting systems based on Latin hypercube sampling. The method includes: S1: Determining at least two tolerance items of the lighting system and setting a center value and tolerance variation range for each tolerance item; S2: Treating each tolerance item as a sampling dimension, performing multi-dimensional sampling using the Latin hypercube sampling method to obtain a set of sampling points; S3: Mapping the sampling points contained in the set of sampling points sequentially to the tolerance variation range of the corresponding tolerance item to obtain a set of mapped discrete points; S4: Calculating the evaluation function values ​​corresponding one-to-one with the discrete points contained in the set of discrete points based on ray tracing, and constructing a multi-dimensional fitting model; S5: Substituting the center value of each tolerance item sequentially into the multi-dimensional fitting model to obtain the response curve of each tolerance item, thus completing the sensitivity analysis of each tolerance item. This invention can clearly and efficiently solve the problem of multivariate tolerance analysis in lighting design.

The application provides a power core engine hot-state assembly deviation prediction method, device, equipment and medium, a first model for core engine assembly deviation virtual prototype simulation and analysis is established; tolerance analysis is performed on the first model to determine the key features affecting the assembly deviation of each component of the core engine, the obtained 2D and 3D fusion data of the key features are compared with the corresponding component model to obtain a first correction model; according to the working temperature distribution of the core engine and the thermal expansion coefficients of the materials of each component of the core engine, a second model for core engine temperature field and thermal deformation simulation is established to extract the three-dimensional thermal deformation amount of the key features; the three-dimensional thermal deformation amount is introduced into the first correction model to form a third model, and tolerance analysis is repeatedly performed to predict the assembly deviation and interference of the core engine under the hot state. The application can realize the prediction of the assembly deviation and interference of the core engine under the hot state, and has important economic value and application prospect.

The invention relates to the technical field of computer vision and three-dimensional point cloud processing, in particular to a three-dimensional model data processing method for automobile assembly tolerance analysis, and the method comprises the steps: calculating the probability of point cloud data belonging to an initial seed point according to the curvature, reflection intensity and local density of the point cloud data, determining an initial seed point in the point cloud data; obtaining a growth area by using the initial seed point, and calculating the fitting probability of the edge point through the curvature variance and the normal vector angle variance of the edge point; fitting is carried out after fitting edge points are determined from the edge points of the growth area based on the fitting probability, and a spline curve of the growth area is obtained; the virtual points are inserted in the tangential direction of the spline curve of the growth area, the growth area and the virtual points are fitted, and a detection path is planned after the automobile surface contour is obtained, so that the assembly tolerance analysis of the automobile surface contour is realized, and the accuracy of the assembly tolerance analysis of the automobile surface contour is effectively improved.

The application provides a simulation-based rear suspension parameter adjustment method, system, device and medium, which comprises the following steps: obtaining target parts associated with each rear suspension parameter, constructing an assembly structure tree based on the connection points of the target parts, and the assembly structure tree is used to represent the composition and assembly sequence of different target parts; determining the assembly fitting points of each part and the corresponding target part according to the assembly structure tree; constructing a tolerance analysis model according to the assembly fitting points, and performing assembly iteration on each assembly fitting point based on the tolerance analysis model, so that the assembly tolerance of each assembly fitting point meets the preset tolerance constraint, thereby obtaining a target assembly scheme and the position adjustment range of the target parts based on the corresponding connection points, and performing physical assembly based on the target assembly scheme and the position adjustment range. The application can effectively improve the accuracy and efficiency of rear suspension parameter adjustment.

The invention discloses a modeling method from tolerance to tooth surface error of key parts of a forming gear grinding machine, which comprises the following steps of: 1, analyzing a kinematic chain and the key tolerance: analyzing a five-axis kinematic chain structure of the forming gear grinding machine, and identifying tolerance items of the key parts which have obvious influence on geometric error of each kinematic axis; step 2, tolerance-geometric error mapping modeling: establishing a mapping model from the tolerance of the key part to the geometric error of the motion axis; 3, geometric error-pose error transfer modeling: according to the kinematic chain structure, constructing a transfer model from the motion axis geometric error to the tool / workpiece pose error based on homogeneous coordinate transformation; step 4, integration of a comprehensive precision prediction model: establishing a comprehensive precision prediction model from key part tolerance to tooth surface pose error; and 5, model solving and precision prediction: solving the comprehensive precision prediction model by adopting a Monte Carlo simulation method, simulating and generating a motion axis geometric error and a tooth surface pose error, and realizing machining precision prediction.

The application discloses a robust design method of surface-mounted permanent magnet synchronous motor considering manufacturing tolerance, and the method is as follows: step 1, a parameterized model and a data set of the surface-mounted permanent magnet synchronous motor are established; step 2, a multi-output proxy model based on integrated learning is constructed; step 3, a manufacturing tolerance model is constructed; step 4, a robust genetic algorithm considering manufacturing tolerance is executed; and step 5, evolution optimization and verification are performed. Through construction of a high-precision mapping model of structure parameters-performance indexes, and embedding tolerance analysis based on Monte Carlo sampling in the individual evaluation link of the genetic algorithm, the performance robustness optimization of the motor design scheme in the manufacturing error environment is realized. Compared with the method of optimization only under the nominal size, the application can significantly reduce the performance discreteness of batch products, improve the tolerance to manufacturing deviation and the qualified rate while maintaining the motor efficiency and output torque level, and is suitable for structural design and parameter optimization of various permanent magnet motors.

The invention belongs to the technical field of optical design, and particularly relates to an illumination system tolerance sensitivity analysis method based on Latin hypercube sampling. Comprising the following steps: S1, determining at least two tolerance items of the lighting system, and setting a central value and a tolerance change range for each tolerance item; s2, taking each tolerance item as a sampling dimension, and performing multi-dimensional sampling by adopting a Latin hypercube sampling method to obtain a sampling point set; s3, sequentially mapping sampling points contained in the sampling point set to a tolerance change range of a corresponding tolerance item to obtain a mapped discrete point set; s4, calculating evaluation function values in one-to-one correspondence with discrete points contained in the discrete point set based on a ray tracing method, and constructing a multi-dimensional fitting model; and S5, sequentially substituting the central value of each tolerance item into the multi-dimensional fitting model, correspondingly obtaining a response curve of each tolerance item, and completing sensitivity analysis of each tolerance item. According to the method, the problem of multivariable tolerance analysis in illumination design can be clearly and efficiently solved.

The invention relates to the field of computer-aided engineering, in particular to an MBD-based assembly error automatic modeling method. The method comprises the steps that firstly, an assembly relation graph is used for storing the assembly relation, the assembly sequence and the assembly hierarchy of parts in an assembly body; secondly, the geometric feature positioning relation graph is used for determining a reference-target relation between feature surfaces in the parts in the assembly relation graph; then, establishing a reference coordinate system of each geometric feature, and defining correct positions of the geometric features under the reference coordinate system according to the theoretical size; and finally, converting the graph into an error propagation chain according to the geometric feature position hierarchical system, determining the actual position of the geometric feature, and calculating a spatial dimension chain according to the actual position. The method provides a solution for realizing 3D tolerance analysis based on the model, and has the advantages of less man-machine interaction operation, high calculation precision and the like. The tolerance can be conveniently defined and managed in CAD software, and the establishment of a tolerance model is realized.

The application relates to the technical field of environmental adaptability testing, and discloses a key performance comprehensive environmental adaptability testing system. The system comprises a multi-environment factor acquisition and processing module, which acquires data and carries out normalization preprocessing; an environmental scene dynamic modeling module, which constructs a multi-dimensional correlation graph and updates a topological structure; a performance index evaluation module, which evaluates a performance degradation index under a composite environment by using a space-time feature fusion algorithm; a failure mode prediction module, which generates potential failure modes under multi-environment coupling according to a performance degradation trend and a stress accumulation effect; an environmental tolerance analysis module, which integrates data to build a virtual model and outputs a specific environmental profile tolerance residual error; a test scheme optimization module, which generates an adaptive test sequence according to the residual error and the graph; and an environmental scene simulation control module, which combines multi-information to regulate test cabin parameters. The system can comprehensively and accurately evaluate the performance and tolerance capacity of equipment under a composite environment, and has a dynamic adjustment characteristic.

The invention relates to the technical field of vehicle assembly, and discloses a vehicle part tolerance analysis method, device and equipment and a medium, and the method comprises the steps: determining a three-dimensional tolerance analysis model, and determining each initial contribution factor and the contribution rate of each initial contribution factor under the total assembly tolerance according to the three-dimensional tolerance analysis model; determining a target contribution factor in the initial contribution factors according to the contribution rate, and determining a parent hierarchy matched with the target contribution factor according to the assembly hierarchy; and determining the tolerance of the target contribution factors under the corresponding parent hierarchy according to the set tolerance of each target contribution factor, so as to obtain a tolerance analysis result according to the tolerance. According to the method, the parts influencing the DTS can be quickly positioned, the tolerance requirements of the parts under different assembly levels can be quickly identified, the difficulty of dimension chain analysis of field engineers is reduced, and the production efficiency is remarkably improved.

The application discloses a method, system and program product based on double-decoder cross-validation. The method comprises: obtaining a data stream to be tested, decoding in parallel through a reference decoder and a tested decoder to obtain reference decoding data and tested decoding data respectively; comparing the two, if the bits are not completely consistent, performing dynamic tolerance analysis on the difference value between the two based on a preset compliance difference to determine whether the difference is within a standard allowed range; and outputting the result of the dynamic tolerance analysis. By introducing dynamic tolerance analysis, the application effectively distinguishes between the reasonable implementation difference allowed by the standard and the real decoding error, significantly reduces the high false positive rate of the traditional pure bit comparison method, and improves the accuracy and automation level of the decoder standard compliance test.

The invention discloses a method, a system and a program product based on dual decoder cross validation. The method comprises the following steps: acquiring a to-be-tested data stream, and performing parallel decoding through a reference decoder and a tested decoder to respectively obtain reference decoded data and tested decoded data; comparing the two bits, and if the bits are not completely consistent, performing dynamic tolerance analysis on a difference value between the two bits based on a preset compliance difference so as to judge whether the difference is within a standard allowable range; and outputting a result of the dynamic tolerance analysis. According to the method, by introducing dynamic tolerance analysis, reasonable implementation differences and real decoding errors allowed by the standard are effectively distinguished, the high false alarm rate of a traditional pure bit comparison method is remarkably reduced, and the accuracy and the automation level of the decoder standard conformity test are improved.

The application provides a QKD device power voltage tolerance detection method and an electronic device, including: controlling a programmable power supply to provide a power voltage for a to-be-tested quantum key distribution (QKD) device, and collecting multiple input voltages of the to-be-tested QKD device; constructing multiple groups of input variables according to the multiple input voltages, wherein each group of input variables includes at least one input voltage; performing multiple-output prediction on the multiple groups of input variables by using a preset multiple-output Gaussian process model to obtain multiple groups of output variables, each group of output variables including multiple-dimension performance prediction parameters corresponding to one input voltage; performing power voltage tolerance analysis on the to-be-tested QKD device according to the multiple input voltages and the multiple-dimension performance prediction parameters to obtain a power voltage tolerance range of the to-be-tested QKD device. The multiple input voltages and the multiple-dimension performance prediction parameters are used to accurately locate a device voltage safe working interval, and the accuracy of abnormality detection is improved.

The invention provides a QKD equipment power supply voltage tolerance detection method and electronic equipment, and the method comprises the steps: controlling a programmable power supply to provide a power supply voltage for to-be-measured sub-key distribution QKD equipment, and collecting a plurality of input voltages of the to-be-measured QKD equipment; according to the multiple input voltages, multiple sets of input variables are constructed, and each set of input variables at least comprise one input voltage; a preset multi-output Gaussian process model is adopted, multi-output prediction is conducted on the multiple sets of input variables, multiple sets of output variables are obtained, and each set of output variables comprise performance prediction parameters of multiple dimensions corresponding to one input voltage; and performing power supply voltage tolerance analysis on the to-be-tested QKD equipment according to the plurality of input voltages and the corresponding performance prediction parameters of the plurality of dimensions to obtain a power supply voltage tolerance range of the to-be-tested QKD equipment. According to the multiple input voltages and the corresponding performance prediction parameters of the multiple dimensions, the equipment voltage safety working interval is accurately positioned, and the anomaly detection accuracy is improved.

The application relates to the technical field of engine digital assembly, and discloses an engine assembly process optimization system which comprises an assembly feature extraction module, an assembly planning module, a part transfer wear model establishment module, an assembly analysis module, an assembly workshop information acquisition module and an assembly correction module. The assembly feature extraction module extracts assembly information from the three-dimensional model of a part, simultaneously obtains the tolerance analysis information between parts, and establishes an assembly planning model based on the extracted assembly planning information through the assembly planning module, so that the assembly sequence and the assembly path are obtained, the optimal assembly of parts with different sizes is achieved, the assembly tolerance problem between the remanufactured parts and the original parts of the engine is avoided, and the assembly accuracy is improved.

Determining a fault tolerance level for sensor dimensions by receiving data from each edge node in a group, for each sensor feature across all edge nodes, using the data to calculate covariance matrices at each time window, each sensor feature becoming a path in geometric Riemannian space, forming a first-order multidimensional Riemannian time-series, each dimension corresponding to a correlation dimensions between two edge nodes, creating, from a first-order multidimensional Riemannian time-series, a second-order covariance geometric Riemannian space, using a non-Euclidean PCA at a second-order covariance geometric Riemannian space to determine most relevant dimensions of the group, communicating respective indices of the most relevant dimensions to the edge nodes, receiving, from each of the edge nodes, covariances between the most relevant dimensions, generating a normative cluster of behavior from all of the edge nodes, performing a fault-tolerance analysis based on the normative cluster, and determining a threshold of acceptable fault-tolerance level.

The invention relates to a tolerance analysis method and device based on a product assembly dimension chain. The method comprises the steps that an assembly tolerance graph and an assembly directed graph are acquired; generating an assembly dimension chain according to the assembly tolerance diagram; constructing a Jacobian spinor model based on the assembly dimension chain, and solving a tolerance contribution degree; performing semantic reasoning on the assembly dimension chain to obtain a tolerance transfer coefficient; performing optimization solution through a cuckoo search algorithm according to the assembly dimension chain, the tolerance contribution degree and the tolerance transfer coefficient to obtain a tolerance distribution scheme; and performing virtual assembly and tolerance analysis based on digital twinning according to the assembly directed graph and the tolerance distribution scheme to obtain an assembly success rate, and optimizing and solving the tolerance distribution scheme by introducing a cuckoo search algorithm in combination with a tolerance contribution degree and a tolerance transfer coefficient obtained by semantic reasoning. And then virtual assembly and tolerance analysis based on digital twinning are carried out to determine the assembly success rate, so that the accuracy and efficiency of tolerance analysis can be effectively improved, and the assembly efficiency and success rate are further improved.

The invention provides an out-of-tolerance analysis method and device for a water pool steel covering surface, computer equipment and a medium, and relates to the technical field of steel covering surface mechanical analysis, and the method comprises the following steps: obtaining a newly added out-of-tolerance problem of the water pool steel covering surface; based on a preset dynamic steel cladding out-of-tolerance problem database, envelope analysis is conducted on the newly-added out-of-tolerance problem, and an envelope analysis result is obtained; the dynamic steel cladding out-of-tolerance problem database is constructed based on the processed typical steel cladding out-of-tolerance problem; if the dynamic steel cladding out-of-tolerance problem database does not envelop the newly-added out-of-tolerance problem, modeling analysis is conducted on the newly-added out-of-tolerance problem based on a preset parameterized model database, and an out-of-tolerance analysis result of the newly-added out-of-tolerance problem is obtained; and if the dynamic steel cladding out-of-tolerance problem database envelops the newly-added out-of-tolerance problem, determining an out-of-tolerance analysis result of the newly-added out-of-tolerance problem based on the typical steel cladding out-of-tolerance problem processed in the dynamic steel cladding out-of-tolerance problem database. According to the method, the mechanical analysis efficiency of the pool steel cladding out-of-tolerance defect can be improved.