35 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 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 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 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 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 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.

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 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.

The application relates to the technical field of engineering management, and discloses an engineering budget cost analysis system and method, which comprises the following modules: an acquisition module, which is used for acquiring engineering analysis requirements, and determining an engineering project name according to the engineering analysis requirements; a matching module, which is used for acquiring engineering accounting items and engineering budget items, and matching the engineering analysis items with the engineering accounting items and the engineering budget items based on the engineering project name to obtain a first item matching result and a second item matching result; a determination module, which is used for determining project actual expenditure data based on the first item matching result, and determining project budget data based on the second item matching result; and a construction module, which is used for constructing an engineering budget cost analysis list based on the engineering project name, the project actual expenditure data and the project budget data. The application saves the labor cost, improves the analysis efficiency and accuracy of the engineering budget cost, and guarantees the normal operation of the engineering project.

The invention provides a method and a system for determining an explosion load of an axial air interval charging hole wall, and belongs to the technical field of numerical simulation of explosive mechanics and geotechnical engineering. According to the method, theoretical analysis and derivation are carried out on the explosion process of the charging section, a calculation method for the load peak values of the charging section and the air section is established, and the load peak values serve as key parameters to be reasonably given to a load duration curve of each node of a blast hole wall. According to the method, the obvious difference between the charging section and the air section is fully considered, and the load applying modes under different charging structure conditions are distinguished, so that the constructed blast hole wall load curve better conforms to the actual explosion process in the aspects of peak value characteristics, action time history and spatial distribution. The method is clear in calculation process, clear in physical significance, suitable for various axial charging structural forms, capable of effectively improving the accuracy of drilling and blasting numerical simulation and engineering analysis results and good in engineering application value.

The invention relates to the technical field of analog simulation, in particular to an analog simulation method, device and equipment for chemical vapor deposition and a storage medium, and the method comprises the following steps: constructing a simulation library, initializing a packaging object, processing input parameters, matching the packaging object, adaptively adjusting, and executing a complete link with simulation as a core. A traditional solidified flow field simulation model in a single scene is converted into an engineering analysis unit which can be independently managed, repeatedly called and adapted to multiple working conditions, and the problems that in the prior art, simulation objects are mostly customized construction and are difficult to reuse, parameter adjustment needs to depend on manual operation of professional simulation personnel, the efficiency is low, and the efficiency is low are effectively solved. The unstable problems of calculation divergence, result distortion and the like easily occur during multi-working-condition switching, the engineering applicability, the operation convenience and the result reliability of simulation analysis are remarkably improved, and efficient and stable technical support is provided for the whole life cycle of chemical vapor deposition equipment from research and development design and process debugging to mass production optimization; and the decision-making process is more scientific and reasonable.

The application discloses a power generation project analysis modeling method, device, equipment and medium. The power generation project analysis modeling method comprises the following steps: generating PModel format data according to power generation project hierarchical data and target geometric data; updating the PModel format data according to power generation project attribute data and BIM business data to obtain PModel target format data; performing structural hierarchical organization processing on each project node according to the PModel target format data and project node space; creating project node geometric information according to the PModel target format data, and performing attribute mounting processing on each project node according to the project node geometric information and the PModel target format data to obtain a power generation engineering model of a BIM platform. The technical scheme of the embodiment of the application can coordinate the digitalization link of the power generation engineering and punch through the data interface, so that the production efficiency is improved.

The invention discloses a helium leakage transient analysis method and system for a nuclear fusion device, and relates to the technical field of nuclear fusion safety analysis. The method comprises the following steps: obtaining Dewar structure parameters and working condition parameters of the nuclear fusion device; based on the structural parameters, dividing the inner space of the Dewar into a plurality of control bodies which are communicated with one another; for each control body, establishing a transient analysis equation set containing a target physical quantity based on the working condition parameters; solving the transient analysis equation set by adopting a variable step size integration method to obtain a transient time history of a target physical quantity in each control body; and converting the transient time history of the target physical quantity into a load data file which can be identified by the target engineering analysis platform. According to the method, the internal space of the Dewar is divided into the control bodies, the helium leakage transient process is solved based on the divided structural bodies, the pressure and temperature evolution under the leakage accident can be accurately predicted, the load file which can be directly used for structural safety evaluation is generated, and the safety analysis efficiency and the design optimization capability are improved.

The invention provides an electromagnetic design analysis method and system for a pulse coaxial coil system of an FRC device, a computer readable storage medium and electronic equipment. The electromagnetic design analysis method comprises the steps that target physical requirement parameters of the coaxial coil system are acquired; establishing a parameter calculation model, wherein the model comprises a simplified analysis formula group used for describing a mapping relation between the target physical demand parameter and the power supply key electrical parameter; based on the parameter calculation model, parameter space scanning is carried out with the number N of the coils as a variable, and a parameter space scanning graph at least containing the maximum current Imax, the maximum voltage Umax and the maximum current change rate di / dtmax changing along with the number N of the coils is generated; obtaining a key performance parameter threshold value of the solid-state switching device, and performing comparative analysis on the parameter space scanning graph and the key performance parameter threshold value; and determining the number N of coils meeting the performance parameter constraint of the solid-state switching device according to the comparison and analysis result. According to the method, the calculation amount is greatly simplified, so that the efficiency of forward design and engineering analysis of the system is improved.

This invention discloses a method for analyzing neck muscle impact injuries based on dummy experimental data, relating to the fields of biomechanical engineering and safety protection technology. The method includes the following steps: using neck motion trajectory parameters collected during dummy impact testing as boundary conditions for musculoskeletal model simulation; importing a pre-defined neck musculoskeletal model into the OpenSim platform, and geometrically scaling the model according to standardized dummy dimensions to obtain cervical joint angles, cervical joint loads, and the activation and force distribution of each muscle; and conducting an impact-induced muscle injury risk assessment based on the extracted peak muscle force, muscle activation sequence, and unit mass muscle energy absorption rate. This invention solves the problem that traditional methods cannot quantify deep muscle injuries under controllable conditions, providing a highly reliable engineering analysis tool for automotive safety design and protective equipment optimization.

The invention relates to the technical field of spaceflight, in particular to a method for designing and manufacturing an engine of a Weishi-Qi-Nu-Pong spacecraft with a motor, which comprises the following steps of: considering the utilization mode of solar energy, carrying out engineering analysis, determining the performance and the structure of the engine, making a design drawing, manufacturing each part of the engine according to the design drawing, and after the manufacturing is finished, manufacturing the engine. And the engine is tested and verified, and the engine is optimized and improved according to the test and verification result. The design of an electric generator is improved to better convert electric energy into mechanical energy, through continuous optimization and improvement, the performance and reliability of an engine can be improved, powerful support is provided for development of solar power aircrafts, use of chemical propellants is reduced, and therefore the aircrafts do not need to occupy most weight of airships, solar energy is adopted for providing power, and energy is saved. Sustainability and renewability of energy are guaranteed, dependence on traditional energy is reduced, and therefore environmental pollution and carbon emission are reduced, and the rocket propulsion efficiency is effectively improved.

The invention relates to a power transmission and transformation project design document intelligent analysis system based on multistage preprocessing, and belongs to the technical field of power transmission and transformation project document processing. Wherein the engineering feature enhancement preprocessing unit outputs a structured image set with attribute marks through pixel-level layered deconstruction, cross-modal feature alignment and symbol-oriented repair; the double-domain collaborative intelligent recognition unit depends on a professional semantic enhancement framework, and outputs a recognition text with professional confidence in combination with standard corpus constraint and dynamic confusion set correction; the specification-driven deep analysis unit generates a structured data set with a specification reference mark through text-specification bidirectional mapping and parameter association reasoning based on a design specification knowledge tree; and the engineering scene adaptive storage unit constructs an engineering analysis library supporting standard traceability and time sequence query by means of an engineering node time sequence data model, version evolution increment fusion and document fragment time sequence anchoring. And intelligent analysis of the power transmission and transformation project design document from feature extraction to storage application is realized.