54 results about "Engineering analysis" patented technology

The invention relates to a wind power cluster short-term power prediction method and device of a space-time diagram neural network fused with physical information and computer equipment, and the method comprises the steps: obtaining related information data of each wind power plant in a wind power cluster, and carrying out the preprocessing; forming a physical prior data set through an engineering analysis model fusing the wake flow analysis model and the blocking effect model; taking each wind power plant as a node of the graph, constructing graph structure data for predicting the power of the wind power plant, and forming a dynamic adjacent matrix; constructing a space-time diagram neural network WB-STGNN model architecture comprising a diagram convolutional neural network module, a gating time convolutional network and a multi-layer perceptron; the method comprises the following steps: pre-training by using a physical prior data set, and then performing formal training based on historical power data and a dynamic adjacency matrix to obtain a space-time diagram neural network WB-STGNN model; inputting the wind speed of the prediction day, and predicting the active power of the whole wind power cluster in 24 hours of the prediction day. By adopting the method, the precision and efficiency of wind power cluster power prediction can be effectively improved.

The invention discloses a method and a system for acquiring deformation stress increment of extremely-thin lamellar weak surrounding rock. Relates to the technical field of tunnel engineering. Obtaining a strain increment matrix of the extremely-thin laminar weak surrounding rock under the overall coordinate system, calculating a stress tensor matrix of deformation of the extremely-thin laminar weak surrounding rock under the overall coordinate system by combining the rotation matrix and the element stiffness matrix under an elastic assumption theory, and calculating a deformation stress increment according to the stress tensor matrix after characteristic correction; according to the scheme, the method is improved on the basis of a traditional extremely-thin lamellar surrounding rock mechanical property simulation technology, and a stress increment matrix of deformation of the extremely-thin lamellar weak surrounding rock under an overall coordinate system is calculated on the basis of a strain increment matrix, a rotation matrix and an element stiffness matrix under an elastic assumption theory; after the characteristics of the stress increment matrix are corrected, the deformation stress increment is calculated, the stress deformation characteristics of the extremely-thin lamellar weak surrounding rock are accurately and reasonably described, and the engineering analysis efficiency of the extremely-thin lamellar weak surrounding rock is improved.

The invention belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to an anti-seismic safety collaborative analysis method for multi-modal data of proximity tunnel engineering. By integrating engineering geology, structural design, construction monitoring and multi-level seismic oscillation data, a three-dimensional numerical model fusing geology and structural information is constructed. Firstly, refined simulation of the whole construction process and the operation static load is carried out, and a reference mechanical state is obtained; carrying out multi-task condition earthquake dynamic time history analysis on the basis, dynamically capturing dynamic response of surrounding rock and a structure, carrying out collaborative interpretation on static and dynamic analysis results, emphatically analyzing spatio-temporal evolution and connectivity risks of a tunnel anchor and an adjacent highway tunnel surrounding rock plastic zone, and extracting a plurality of quantitative collaborative indexes; and an interactive analysis report integrating a three-dimensional visual scene, a multi-dimensional comparison chart and a rule base-based safety interpretation conclusion is automatically generated, and systematic decision support is provided for seismic design, construction control and safety evaluation of proximity projects.

The invention provides an intelligent grid size field prediction method, which comprises the steps of inputting geometric data, material parameters and boundary conditions of a to-be-processed CAE model, automatically extracting an input feature set, inputting the input feature set into a trained hybrid model, and outputting an initial grid size field; and performing post-processing on the initial grid size field, including performing smoothing processing by adopting Gaussian filtering to ensure that the size difference of adjacent patches does not exceed 20%, executing constraint verification to ensure that the grid size is within a preset range, and performing multi-physical field adaptation to take the minimum value of the size required by each physical field. And generating a CAE (Computer Aided Engineering) grid based on a post-processing grid size field driving grid generation algorithm, feeding back the grid quality in real time in a grid generation process, and if the grid distortion rate exceeds 5%, predicting and adjusting the size again. According to the method, the grid generation efficiency is remarkably improved, the manual intervention cost is reduced, the simulation precision and stability are ensured, and the method is suitable for complex engineering analysis scenes in the industries of aerospace, automobiles and the like.

The present application relates to large aperture optical machine structure engineering analysis technical field, especially to a kind of gravity unloading point layout method of large space mirror, comprising the following steps: S1: the finite element analysis model of space mirror is established, and the discrete node surface shape data and unloadable point coordinate data are exported.S2: surface shape fitting is carried out, and surface shape accuracy is calculated.S3: its surface shape residual elevation diagram is drawn, and high residual point is identified.S4: the unloadable point coordinate of space mirror is obtained.S5: space mirror is supported using unloadable point, and its degree of freedom is constrained;Finite element analysis model is updated, and step S2 is repeated, and surface shape accuracy is calculated.S6: whether surface shape accuracy meets the requirements is judged, if not, then repeat step S3 to step S5;Until meet the requirements.The present application has the advantages that, through the gravity unloading point layout of space mirror, gravity unloading point can be more accurately fixed in flexible support mode or the like during processing, and the influence of gravity on surface shape accuracy is reduced.

The application discloses a kind of deformation stress increment acquisition method and system of extremely thin layered soft surrounding rock;It is related to the technical field of tunnel engineering;The strain increment matrix of extremely thin layered soft surrounding rock under overall coordinate system is obtained, and under the elastic assumption theory, the stress tensor matrix of extremely thin layered soft surrounding rock under overall coordinate system is calculated by combining rotation matrix and element stiffness matrix, and the deformation stress increment is calculated according to the stress tensor matrix after characteristic correction;The method is improved on the basis of traditional extremely thin layered surrounding rock mechanics characteristic simulation technology, and under the elastic assumption theory, the stress increment matrix of extremely thin layered soft surrounding rock under overall coordinate system is calculated based on strain increment matrix, rotation matrix and element stiffness matrix;The deformation stress increment is calculated after the characteristic correction of stress increment matrix, and the stress deformation characteristics of extremely thin layered soft surrounding rock are accurately and reasonably described, and the efficiency of extremely thin layered soft surrounding rock engineering analysis is improved.

The invention discloses a tunnel end effect intelligent calculation method, device and equipment and a readable storage medium, and relates to the technical field of tunnel engineering. Comprising the following steps: acquiring input parameters required by tunnel end effect calculation, and determining an evaluation object and a quantitative index according to tunnel end dynamic response characteristics; on the basis of the evaluation object and the quantitative index, tunnel end dynamic response is calculated or historical data is obtained under different working conditions, a sample data set containing input parameters and corresponding quantitative index results is constructed, and a machine learning method is used for training to obtain a tunnel end effect intelligent calculation model; and inputting input parameters of a tunnel to be evaluated into the trained intelligent calculation model, obtaining a dynamic response quantification result of the evaluation object under the quantification index, and applying the result to engineering analysis and optimization. The method provides a quantitative basis for engineering decision.

The invention provides an evaluation processing method and device for product development, equipment and a storage medium, and relates to the field of product development. The method comprises the steps of obtaining first data of a to-be-developed product and second data of the to-be-developed product; generating a demand decomposition tree according to the first data; generating a function network according to the second data; according to the first data and the second data, distributing the demand decomposition tree to an analysis node to obtain a demand function association network; generating a demand engineering analysis result, a design failure mode and an influence analysis result corresponding to the analysis node according to the demand function association network; and displaying a demand engineering analysis result, a design failure mode and an influence analysis result corresponding to the analysis node on a preset display interface. The technical problem that in the prior art, demand management, design failure modes and influence analysis are independent, definition deviation, feedback delay and work repetition are prone to occurring, and then the evaluation processing efficiency of product development is low is solved.

The invention relates to the technical field of human body data checking, and discloses a method for checking human body measurement data of maintenance personnel, which comprises the following steps of: measuring and collecting data influencing the human body of the maintenance personnel during maintenance operation; performing historical experience screening, average value screening and multi-index association screening on the data; carrying out data statistics on the screened data, wherein the data statistics comprises calculation of a minimum value min, a maximum value max, a mean value mu, a standard deviation sigma and a plurality of percentile numbers; performing two-stage data checking on the statistical data; and inputting and storing the data passing the two checks so as to be conveniently applied to subsequent related fields. According to the method, the problem that a traditional checking method is insufficient in reliability is solved, high-quality data support is provided for maintenance scene human factor engineering analysis, meanwhile, hidden dangers such as maintenance scheme errors and personnel health risks caused by data problems are reduced, and the method has remarkable engineering practical value and popularization significance.

The invention is suitable for the technical field of crack monitoring, and relates to a crack identification method based on acoustic emission, a medium and a terminal.The method comprises the steps that S10, RA parameters and AF parameters of AE signals are extracted, and a two-dimensional feature set is constructed; s20, training a GMM model by adopting an EM algorithm, and outputting a mean value, a covariance matrix and a weight of each Gaussian distribution component; s30, determining the posterior probability of each AE event in all Gaussian distributions; s40, comparing the posterior probability of each component, and taking the category corresponding to the maximum value as the classification result of the crack type of the event; s50, introducing a crack identification confidence index Ci, and selecting a threshold Cth to judge a result; and S60, introducing a crack mechanism energy dominance index for judging the energy dominance degree of a shear crack mechanism in the failure process, and assisting engineering analysis. The method is simple in process and convenient to operate, and the accuracy of crack identification is effectively improved.

This invention relates to the field of simulation technology, and in particular to a simulation method, apparatus, device, and storage medium for chemical vapor deposition (CVD). The method, through a complete chain centered on building a simulation library, initializing encapsulated objects, processing input parameters, matching encapsulated objects, adaptive adjustment, and executing the simulation, transforms traditional flow field simulation models fixed in a single scenario into independently manageable, repeatedly invoked, and multi-condition adaptable engineering analysis units. This effectively solves the problems in existing technologies where simulation objects are mostly customized and difficult to reuse, parameter adjustments rely on manual operation by professional simulation personnel leading to low efficiency, and instability issues such as calculation divergence and result distortion easily occur when switching between multiple operating conditions. It significantly improves the engineering applicability, operational convenience, and result reliability of simulation analysis, providing efficient and stable technical support for the entire lifecycle of CVD equipment from R&D design and process debugging to mass production optimization, making the decision-making process more scientific and rational.

The invention relates to the technical field of engineering geology and rock mass mechanics, and discloses a rock mass fracture trace skeleton extraction and grouping quantification method and system. Comprising the steps of performing denoising and size standardization preprocessing on an excavation face image; using an improved DeepLab V3 + model to carry out semantic segmentation on the fracture trace to obtain a binary image; extracting a single-pixel width skeleton through a refinement algorithm based on the binary image; constructing a two-dimensional grouping strategy containing inclination angle similarity and spatial proximity to cluster skeleton traces; and calculating the length, the inclination angle and the density of the grouping result, and performing statistical analysis. The system comprises an image acquisition and preprocessing module, a crack segmentation module, a skeleton extraction module, a trace grouping module, a quantitative analysis module and the like. According to the scheme, automatic extraction, grouping and quantitative characterization of fracture traces are achieved, and the method is suitable for rock mass structure investigation and engineering analysis.

The invention provides a large-scale finite element calculation result post-processing method and system, and the method comprises the steps: S1, analyzing finite element result data through data hierarchical preprocessing, generating a multi-level data structure and a spatial index, and supporting on-demand loading and rapid query, S2, carrying out the self-adaptive real-time rendering through GPU parallel calculation according to a user view angle parameter, the method comprises the following steps: S1, generating a high-frame-rate visualization result by dynamically selecting a data hierarchy, S3, realizing coordinate synchronization of a simulation result and a physical space through VR / AR equipment, and supporting multi-modal interaction and multi-user cooperation, and S4, exporting a rendering result and interaction data, and supporting multiple formats to meet engineering analysis requirements. According to the method, efficient visualization, real-time interaction and multi-user collaborative analysis of large-scale finite element results are finally realized, and the engineering analysis efficiency and the decision support capability are remarkably improved.

The invention discloses a multi-source interface coupling transition modeling method considering a spatial incongruous arched cavern, belongs to the technical field of geotechnical engineering, and solves the problems that a traditional method is low in discrete efficiency and difficult to meet engineering analysis requirements. The method comprises the following steps: establishing a geometric entity, performing regional structured segmentation on the established geometric entity, establishing a main body grid and a cavern area grid, establishing a stress-continuous integral calculation model through a conformal / non-conformal boundary fusion algorithm, and performing quality detection and optimization on a fused grid based on a pre-established multi-index grid evaluation system to ensure that finite element analysis requirements are met; the finite element modeling method for the spatial incongruous arch-shaped cavern structure has the advantages of being short in consumed time, high in speed and high in grid quality, and powerful support can be provided for geotechnical engineering calculation of the spatial incongruous arch-shaped cavern structure.

This invention discloses a method and system for transient analysis of helium leakage in a nuclear fusion device, relating to the field of nuclear fusion safety analysis technology. The method includes the following steps: obtaining the structural parameters and operating parameters of the Dewar radiator of the nuclear fusion device; dividing the internal space of the Dewar radiator into multiple interconnected control volumes based on the structural parameters; establishing a set of transient analysis equations containing target physical quantities for each control volume based on the operating parameters; solving the transient analysis equations using a variable step-size integration method to obtain the transient time histories of the target physical quantities in each control volume; and converting the transient time histories of the target physical quantities into load data files recognizable by the target engineering analysis platform. This method, by dividing the internal space of the Dewar radiator into control volumes and solving the helium leakage transient process based on the divided structures, can accurately predict the pressure and temperature evolution under leakage accidents and generate load files that can be directly used for structural safety assessment, thus improving the efficiency of safety analysis and design optimization capabilities.

The invention provides a troubleshooting method with sewage plant inlet water concentration improvement as a target, which aims at improving the inlet water concentration of a sewage plant, determines influence factors, determines troubleshooting contents related to the influence factors, and adopts a corresponding troubleshooting method to troubleshoot troubleshooting information corresponding to the troubleshooting contents of each influence factor to obtain a first troubleshooting result. Analyzing to obtain an engineering analysis result; according to the method, the troubleshooting content and the troubleshooting information are determined by taking the improvement of the incoming water body concentration of the sewage plant as the target, a targeted troubleshooting result can be obtained, an analysis conclusion taking the improvement of the incoming water concentration of the sewage plant as the target is obtained, and a set of standard troubleshooting analysis method taking the improvement of the incoming water concentration of the sewage plant as the target is formed; on one hand, urban sewage collection system households are found out; on one hand, the problem of the current sewage collection system is found out, a foundation is laid for effective engineering measures for improving the incoming concentration of a sewage plant, and each first checking result can be used as scientific research data for forming a set of urban sewage collection system.

The invention provides a track irregularity signal compression and reconstruction method and system based on a compressed sensing theory, and mainly relates to the technical field of railway infrastructure health monitoring and big data processing. According to the method, the sampling accuracy in the engineering field is mainly improved, redundant information is reduced, the system bottleneck of storage and transmission is improved, a measurement matrix irrelevant to a sparse transformation base is introduced at a signal acquisition end, and a compression observation value far lower than the Nyquist rate is directly obtained. And then, an original track irregularity signal is reconstructed from a small number of observation values with high precision by solving a norm minimization problem at a data processing end. According to the method, the front-end data sampling rate, the hardware load and the data transmission and storage requirements are greatly reduced, meanwhile, it is guaranteed that the reconstructed signal meets the engineering analysis precision, and a core technical scheme is provided for a new-generation efficient and low-cost track detection system, real-time train-structure system dynamic analysis and the like.

The invention relates to the technical field of structure engineering CAE analysis and artificial intelligence, in particular to a knowledge graph-based structure CAE analysis self-learning optimization system, which comprises a scene recognition module, an intelligent strategy matching module, a structure optimization execution module, a verification and knowledge graph construction module and a self-learning iteration module. According to the structure CAE analysis self-learning optimization system based on the knowledge graph, the pertinence and efficiency of structure optimization are improved through scene recognition and customized strategy matching, exclusive optimization strategies are matched for different structure types and material characteristics, and the optimization efficiency and the result accuracy are remarkably improved on the premise that the performance is guaranteed; multi-constraint condition optimization in engineering practice is realized by introducing a multi-target weighing mechanism, a multi-target weighing unit is integrated in a strategy matching stage, multiple factors are taken into optimization consideration, priorities are determined according to weight distribution, and deep fusion of scene recognition and a knowledge graph is increased through knowledge graph construction and a self-learning iteration mechanism. And a closed-loop self-learning capability generated thereby substantially shortens an iteration period.

The invention discloses a method for establishing a two-dimensional CMC turbine blade surface Nusselt number engineering empirical relational expression, which comprises the following steps of: systematically researching the flow and heat transfer characteristics of different pressure gradient areas such as a suction surface front edge, a suction surface tail edge and a pressure surface middle section, extracting geometrical characteristic parameters of surface textures, and introducing a dimensionless correction factor, so as to establish a two-dimensional CMC turbine blade surface Nusselt number engineering empirical relational expression. A Nusselt number correction model suitable for different areas is constructed, and a heat exchange coefficient mapping relation from a smooth surface to a woven texture surface is realized. Compared with a traditional smooth surface or a general roughness empirical correlation formula, the model established by the method can more accurately reflect the influence rule of weaving texture features on the surface heat exchange distribution of different pneumatic areas, and the engineering applicability and calculation precision of heat exchange prediction are remarkably improved; and a reliable engineering analysis method and technical support are provided for heat transfer design, performance evaluation and structure optimization of CMC turbine blades and other high-temperature composite material parts.

The present application belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to a kind of multi-modal data seismic safety collaborative analysis method for near tunnel engineering. By integrating engineering geology, structure design, construction monitoring and multi-level ground motion data, a three-dimensional numerical model is constructed that integrates geological and structural information. First, a fine simulation of the entire construction process and static load operation is performed to obtain the baseline mechanical state. Based on this, multi-task ground motion dynamic time history analysis is carried out to dynamically capture the dynamic response of the surrounding rock and structure. The static and dynamic analysis results are interpreted collaboratively, with a focus on analyzing the time and space evolution of the tunnel anchor and the plastic zone of the surrounding rock of the adjacent highway tunnel, as well as the risk of connection. Multiple quantitative collaborative indicators are extracted, and an interactive analysis report is automatically generated that integrates three-dimensional visualization scenes, multi-dimensional comparison charts, and safety interpretation conclusions based on a rule base. This provides systematic decision support for seismic design, construction control and safety evaluation of near engineering.

The application discloses an automatic simulation analysis method and system, and relates to the field of computer-aided engineering analysis, and comprises the following steps: S1, reading the parameters of requirements input by a visual interface, and verifying the compliance of the parameters; S2, when the compliance verification is passed, calling a dictionary library and a standard macro code library; S2.1, the dictionary library converts the parameters of the visual interface into actual input values and performs verification; S2.2, the standard code library performs code variable replacement, replacing the placeholder content in the code variable with the actual input value mapped by the dictionary library, and obtaining generated code after replacement; S3, calling an analysis system solver and injecting the generated code, starting calculation, automatically executing a program, and obtaining stress nephogram data after completion; and S4, analyzing the stress nephogram data and outputting compliance strength analysis and evaluation calculation result data. The application effectively solves the problems of repeated operation and inconsistent FKM evaluation standards caused by human factors in the current simulation analysis process.

The application discloses a method for analyzing interference aerodynamic heat of a booster, comprising the following steps: obtaining air flow parameters at different time according to flight trajectory calculation results; calculating shock wave angles of a booster nose at different time according to the air flow parameters at different time; determining a shock wave direct impact area, a first area and a second area according to the calculated shock wave angles of the booster nose; simplifying the first area into a nose stagnation point and performing boundary layer outer edge parameter calculation and cold wall heat flux density calculation; simplifying the second area into a conical surface and performing boundary layer outer edge parameter calculation and cold wall heat flux density calculation; and forming a bundled launch vehicle conical booster interference aerodynamic heating environment according to the boundary layer outer edge parameter calculation results and the cold wall heat flux density calculation results. The application can quickly provide a round of interference aerodynamic heating calculation results in the launch vehicle demonstration, scheme initial stage or multi-trajectory iteration process, so as to carry out missile body heat protection design and evaluate load and strength problems.

The invention relates to a surrounding rock and lining interface friction coefficient valuing method for engineering analysis, and belongs to the technical field of tunnel engineering. The method aims at solving the technical problems that an existing indoor direct shear test is limited in test object, poor in result practicability and time-consuming and labor-consuming in the process. According to the technical scheme, the method comprises the steps of drilling a rock sample from an engineering site, carrying out a concrete mix proportion test, quantifying the roughness of the rock sample through image processing and height measurement, carrying out a friction experiment to obtain a friction coefficient, and establishing a polynomial fitting equation of the roughness and the friction coefficient; and finally substituting the average roughness of the field surrounding rock into the equation to obtain the friction coefficient under the engineering scale. The method has the advantages that the pertinence is high, the operation is simple and convenient, the precision meets the engineering requirements, and the efficiency and the practicability of the friction coefficient value are effectively improved.

The application provides a method for generating an in-situ stress field inversion of a grid, based on the superiority of GAN data enhancement, deep learning of the distribution of lateral stress coefficients, GAN analysis of lateral stress coefficients, fine tuning of ancient lateral stress coefficients by the introduced generative adversarial network, optimization of the present in-situ stress field, and meeting the needs of engineering analysis. The advantages of uniform design can greatly reduce the number of tests and keep the training samples uniformly dispersed. After each uniform design test, GAN training can be performed, the data of the test points are input into the GAN, and the optimized lateral stress coefficients can be obtained, the optimized ancient in-situ stress field can be obtained by calculation, and the present in-situ stress field can be obtained after nonlinear elastic-plastic excavation simulation.

A method can include receiving well plan information for drilling at least a section of a well at a site; generating a set of candidate drillstring assemblies based at least in part on at least a portion of the well plan information and drillstring assembly component information; generating a proposed set of drillstring assemblies with performance indexes based at least in part on the set of candidate drillstring assemblies and engineering analysis information associated with the site; and generating a final drillstring assembly based at least in part on the proposed set of drillstring assemblies and the performance indexes.

A kind of dam-foundation dynamic interaction effect quantitative evaluation method belongs to the field of water conservancy engineering seismic safety analysis. The steps are as follows: first, the finite element analysis model of foundation free field and dam-foundation coupling is established respectively, and the dynamic time history analysis is carried out to obtain the seismic response results; second, the dynamic response data of each characteristic point of the two models is obtained, the free field influence factor components of all characteristic points are calculated, and the single-index free field influence factor is obtained; if multiple dynamic response evaluation indexes need to be selected for comprehensive evaluation in actual engineering analysis, multiple dynamic response evaluation indexes are selected to calculate the comprehensive free field influence factor; finally, the single-index free field influence factor or the comprehensive free field influence factor is compared with the threshold value, and the significant degree of dam-foundation dynamic interaction effect is quantitatively determined. The present application is simple in modeling, high in calculation efficiency, and can provide direct and quantitative decision basis for the selection of seismic input method in high earth-rock dam seismic analysis.

The invention relates to the technical field of industrial thermal analysis, and discloses a roll shaft temperature field acquisition method and device, roll shaft equipment and a medium, and the roll shaft temperature field acquisition method comprises the steps: carrying out the discrete division of a roll shaft based on the spatial structure information of a target roll shaft, and determining nodes and a node spatial distribution relation; based on the nodes and the node space distribution relation, constructing a heat conduction topological structure, and identifying the nodes at the boundary positions to set corresponding heat boundary conditions; establishing a heat balance equation according to the heat conduction topological structure and a heat boundary condition; performing temperature setting on nodes forming the heat balance equation to form an initial temperature distribution state; iterative solution is carried out in the temperature distribution state, a node temperature distribution result is obtained, and then a steady-state temperature field distribution result corresponding to the target roller shaft is generated. According to the method, rapid modeling and visual output of the temperature field are achieved, rapid reuse of multiple working conditions is supported, and the calculation efficiency of engineering analysis and the flexibility of design optimization are remarkably improved.

The invention provides a geotechnical investigation data standardization analysis method and system, and the system solves the industrial problem of multi-source heterogeneous data integration and standard application rigidity through intelligent perception, adaptive access and dynamic standard matching. Through deep semantic understanding and parameter extraction in combination with spatio-temporal topology conflict detection and quality evaluation, a data arrangement and error detection process dominated by traditional artificial experience is automated and intelligentized, and the reliability and availability of extracted data and the internal consistency of the data are greatly improved; through analysis target-oriented dynamic feature assembly and analysis feedback-driven optimization closed loop, the state of data standardization and engineering analysis splitting is changed, so that the system can continuously optimize own data processing rules according to analysis results, the efficiency and precision of investigation data processing are improved on the whole, and the system is suitable for large-scale popularization and application. Human errors and subjective differences are reduced, and a data basis capable of being automatically evolved is provided for intelligent rock-soil analysis and decision making based on high-quality data.

The application discloses a water supply engineering construction supervision-oriented internet-of-things dynamic sensing and intelligent linkage engineering quality control method, which comprises the following steps: collecting process operation, node structure, environmental influence and equipment operation data of the whole construction process through an internet-of-things supervision sensing engineering analysis platform, and performing collaborative operation by using a construction process compliance convolution determination model, a pipe network construction quality node tracing model and a water supply construction hidden danger time sequence identification model to realize deep fusion and cross verification of multi-source data. The method organically connects independent quality control links, replaces experiential judgment and manual intervention with intelligent models, identifies hidden dangers in advance through precise feature mining, generates linkage instructions adaptive to construction dynamics based on scientific parameter mapping, forms whole-process closed-loop control, solves the defects of traditional technologies, such as insufficient data correlation and lack of intelligent support, and improves the fine level and dynamic response capability of construction supervision, thereby providing reliable guarantee for water supply engineering construction quality.

The invention provides a finite element method for solving a generalized axisymmetric plane problem by taking stress as a basic variable, and relates to the field of engineering analysis, and the finite element method comprises the following steps: S1, selecting a primary function meeting an equilibrium equation; s2, establishing a unit equation of each unit by applying a complementary energy principle; s3, assembling all unit equations to form an overall rigidity equation; s4, applying a forced boundary condition to the stiffness equation; s5, solving a stiffness equation; s6, obtaining all stress components of any point in the unit through primary function interpolation; s7, repeating the steps S1 to S6, and solving to obtain unit stress distribution under each basic load working condition; s8, based on a linear superposition principle, obtaining a stress state under any composite load; and S9, performing strength evaluation on the stress body according to a material failure criterion. According to the method, a user does not need to have professional modeling skills, the stress solution of the complex axial symmetry problem can be quickly and accurately obtained through simple parameter input, and strength evaluation and performance characterization are carried out according to the stress solution.