81 results about "Structural analysis" patented technology

The invention relates to a large document analysis model, a training method and a multi-task document structured analysis method, which are suitable for the fields of artificial intelligence, computer vision and natural language processing. The model comprises a visual coding module used for extracting an image feature vector from a document page image, and the extraction of the image feature vector comprises the step of capturing a dependency relationship on a spatial dimension and a channel dimension by adopting a double attention module; the visual feature projection module is used for mapping the image feature vector extracted by the visual coding module from a visual feature space to a feature space of the text decoding module to generate a visual projection feature vector; and the text decoding module is a large language model based on a Transform decoder architecture, and is used for generating document space layout information or document content corresponding to the document processing task on the document page image based on the visual projection feature vector and the token sequence after word segmentation of the cue word of the document processing task.

The invention belongs to the technical field of modular buildings, and particularly relates to a simplified modeling and optimal design method for a transverse connection node of a modular building. Comprising the steps that 1, parameters of a test piece are obtained, modeling is conducted through a layered shell unit, key calculation data are obtained, and a constitutive relation of a double-node unit is constructed; step 2, establishing an elastic-plastic finite element model of the high-rise modular shear wall structure; 3, carrying out elastic-plastic analysis on the model, recording structural response, and calculating damage parameters; and 4, judging whether to adjust the component design parameters or not according to the damage parameter limit value. According to the method, a double-node unit constitutive structure of bending / shearing behaviors is constructed through layered shell simulation data, a damage evaluation model under multistage earthquakes is established, the reinforcement ratio and the post-cast section width are optimized based on the damage overrun degree, and a closed loop of the construction model, structural analysis, damage evaluation and parameter optimization is formed. And a design platform with adjustable and controllable anti-disaster performance is provided for the high-rise modular building.

The embodiment of the invention provides a permission topological structure construction method and device based on the lowest permission, and the method comprises the steps: carrying out the structural analysis and classification of request data from an identity management platform, carrying out the parameterized replacement, obtaining an unpublished interface path template, and storing the unpublished interface path template in a database; establishing a mapping relationship between the unpublished interface path template and a preset identity management platform permission model to obtain an unpublished interface parameter structure, and fusing the unpublished interface parameter structure with the existing interface parameter structure to obtain a centralized interface parameter structure; under the lowest permission role, starting from an initial node of the centralized interface parameter structure according to a task scheduling engine and a graph operation model, performing multi-hop breadth traversal along a member relationship, role binding and a permission operation path, determining a corresponding permission map, performing fine-grained dependency extraction on the permission map, and updating the permission map according to the dependency relationship, according to the method and the device, the security and the management efficiency of the identity and access management platform can be improved.

The invention relates to the technical field of plate turnover machine alignment control, and provides a turnover alignment control method and system of a single-face and double-face plate turnover machine. The method comprises the following steps: carrying out structure analysis on a turnover target, and identifying an alignment key point and a structure feature; establishing a pre-overturning / post-overturning coordinate transformation relation, and calculating a post-overturning theoretical position based on the current pose; predicting the overturning deviation based on the theoretical position, and analyzing the compensation parameter and controlling the compensation when the deviation exists; and obtaining a time sequence process alignment parameter, carrying out secondary alignment on the overturning target by using the time sequence process alignment parameter, confirming completion and joining the next process. The technical problems that the alignment precision is low and the turnover deviation cannot be effectively compensated due to the structural difference or inaccurate target pose recognition when a traditional plate turnover machine performs single-face and double-face turnover are solved, and the technical effects that the turnover alignment precision is improved through secondary alignment and procedure connection treatment, and automatic procedure connection is achieved are achieved.

The invention discloses a deep foundation pit structure crack AI intelligent monitoring control method and system, and relates to the technical field of civil engineering structure health monitoring, and the method comprises the following steps: S1, measurement positioning: obtaining project control points of a field working face and feature data of foundation pit structure side lines, and carrying out positioning recheck based on positioning data of a positioning system; s2, unmanned aerial vehicle scanning: guiding the unmanned aerial vehicle to move in the deep foundation pit site based on the measurement positioning data, and scanning the site by a pre-loaded scanning radar to obtain point cloud data of the deep foundation pit structural surface; s3, modeling: modeling based on the point cloud data, identifying structure change features based on a model, and marking feature attributes; and S4, structural analysis and early warning: outputting a structural abnormity prompt based on the annotation information, and recording change information of the structure based on a time sequence for structural evolution analysis and prediction. The method has the effect of improving the monitoring effect of the deep foundation pit crack.

The embodiment of the invention discloses a stratum denudation data determination method and device, equipment and a medium. The method comprises the following steps: determining a target layer, a Shanghai generic surface and a Shanghai generic surface of which stratum denudation data needs to be calculated; wherein the upper marine flooding surface is located above the top surface of the target layer and closest to the top surface of the target layer, and the lower marine flooding surface is located below the bottom surface of the target layer and closest to the bottom surface of the target layer; determining denudation points according to the target layer and the underlying stratum; wherein the underlying stratum is a stratum located between the bottom surface of a target stratum and a lower sea flooding surface; and determining the stratum denudation amount according to the thickness between an upper line extending upwards in the stratum direction from the denudation point and the bottom surface of the target stratum. According to the scheme, the stratum denudation amount can be determined more accurately and quickly according to the stratum characteristics and the seismic data which are easy to obtain, higher practicability is achieved, and basic data are provided for later-stage structural analysis, hydrocarbon source rock evolution, oil and gas accumulation condition analysis and the like.

The application discloses a kind of quantitative description fault inversion process method based on balanced section, comprising the following steps: S1: selecting geological profile;S2: division different inversion stage sequence stratigraphy;S3: determine the geologic time of different activity stages of inversion fault;S4: use balanced section technology to restore the evolution history of inversion fault;S5-S7: calculate the slip distance of different stages inversion fault, and calculate the slip rate, inversion intensity coefficient of different inversion stages;S8: establish equivalent point distance, total slip distance, slip rate and inversion intensity coefficient trend chart with geologic time variation, the application is suitable for basin structural analysis technical field, introduce balanced section technology, can more accurately restore fault inversion process;Moreover, can clearly, accurately, quantitative characterization fault inversion process from fault slip distance, the activity intensity of different stages and inversion intensity etc., facilitate different inversion structure contrast, basin structural analysis etc. work is carried out.

This invention belongs to the field of reactor structural mechanics technology, specifically relating to a method for analyzing and evaluating high-temperature bolted connection sealing structures. The invention includes the following steps: selecting the location of the reactor pressure vessel flange and main bolt connection as the object of sealing structure analysis; analyzing and summarizing the influence of gasket data on the deformation and contact surface pressure of various components of the flange bolted connection structure; researching current standards and analyzing their limitations; using the finite element software ANSYS to perform finite element modeling of the reactor pressure vessel flange and main bolt structure; applying loads and constraints to the finite element model of the reactor pressure vessel flange and main bolt structure; calculating the deformation and stress of the structure using different creep and relaxation models; analyzing the relaxation behavior of the high-temperature flange bolted connection structure using experimental methods; and comparing and analyzing the results of the finite element method, the standard method, and the experimental method. This invention enables the analysis and evaluation of the sealing performance of flange bolted connection structures under high-temperature environments.

The invention relates to the technical field of ocean engineering, and discloses a hydrodynamic load quick correction method for a large-diameter cylinder structure, which comprises the following steps of: establishing a digital model of a mixed structure comprising the large-diameter cylinder structure and defining a load working condition; aiming at the working condition, calculating an initial hydrodynamic load and an accurate hydrodynamic load according to a Morison formula and a three-dimensional potential flow theory respectively; generating a corresponding hydrodynamic load correction coefficient according to the ratio of the accurate hydrodynamic load to the initial hydrodynamic load; finally, the correction coefficient is applied to the initial hydrodynamic load, and the corrected hydrodynamic load is obtained and used for structural analysis. According to the method, the rapid calculation result is calibrated through the pre-generated correction coefficient, the problem that calculation efficiency and precision are difficult to consider at the same time in the prior art is solved, and the load calculation efficiency and engineering applicability are improved on the premise that the calculation precision is guaranteed.

The application discloses a kind of engine cooling fan assembly strength calculation method based on one-way fluid-solid coupling, comprising: the geometric model of cooling fan assembly is established;Utilize the finite element model of cooling fan assembly and external flow field generated by mesh division software;In structural analysis software, respectively, to cooling fan and fan support plate is endowed with material mechanics characteristics, and boundary condition is set;In computational fluid dynamics software, set the turbulence model and boundary condition of external flow field;Blade surface is set as fluid-solid coupling surface, first solve flow field using computational fluid dynamics software, pass blade surface pressure in calculation result to finite element software by interpolation, and finite element software is used as boundary condition to simulate and analyze the structural strength of cooling fan assembly, and obtain cooling fan assembly strength.The application improves the accuracy of the model and ensures the calculation efficiency by taking the aerodynamic pressure load on the blade as the boundary condition when predicting the structural strength of the cooling fan.

The present invention provides a finite element modeling and analysis method and system for the compressive resistance of micropiles, which relate to the technical field of civil engineering structure analysis. First, geometric components such as the pile body structural morphology, cross-sectional characteristics, and distribution mode of the micropile are determined. Then, based on the geometric components, a material constitutive relationship covering the description of the mechanical properties of the pile body material and the surrounding medium is established. Then, interaction parameters such as the contact behavior and interface characteristics between the pile body and the surrounding medium are set according to the material constitutive relationship. Then, combined with the interaction parameters, the compressive loading process of the micropile under axial load is simulated and a load application sequence is generated. Finally, based on the load application sequence, the compressive response characteristics of the micropile are analyzed to obtain a compressive performance characterization result, thereby accurately simulating the compressive resistance process of the micropile.

The present invention discloses a hydraulic tunnel safety monitoring and early warning method, system, and electronic device. The method comprises: obtaining structural parameters of a hydraulic tunnel concrete structure and using the structural parameters to establish a finite element model of the hydraulic tunnel concrete structure; calibrating the finite element model based on engineering safety monitoring data to generate a calibrated structural analysis model; using the structural analysis model to identify the most unfavorable stress points of all failure conditions in the hydraulic tunnel concrete structure; and establishing an early warning indicator system based on the failure process and numerical relationship of the most unfavorable stress points, thereby providing risk early warning for the hydraulic tunnel concrete structure. The technical solution provided by the present invention solves the problem of the lack of safety early warning indicators for hydraulic tunnel concrete structures.

The present application belongs to the technical field of oil and gas bearing basin favorable exploration zone research, and particularly relates to a method and device for evaluating favorable zones based on dynamic evolution of fault properties and effects. The evaluation method comprises stress field characteristic analysis, structural profile characteristic analysis, basin structure analysis, fault system and structural pattern characteristic analysis, favorable zone selection and exploration target selection steps. The present application considers that under the superimposed action of multiple phases, different directions and different properties of stress, the properties of faults (reverse faults, normal faults, strike-slip faults) also undergo alternating evolution of waxing and waning, and the effects of different properties of faults on oil and gas transport, reservoir fracture structure, oil and gas sealing and preservation also differ. The present application analyzes the property evolution of faults and their control effect on oil and gas reservoirs from the perspective of spatiotemporal dynamic evolution, and predicts favorable exploration zones, thereby indicating the direction for fine exploration.

The invention relates to the technical field of pumping units, and discloses a pumping unit gravitational potential energy self-adaptive recovery power generation system and a control method thereof.The pumping unit gravitational potential energy self-adaptive recovery power generation system comprises a data extraction module, an energy detection module, an optimization intervention module, a cooperative control module, a structure analysis module and a feedback module; and an intelligent energy recovery system with a data closed loop, an autonomous adjustment capability and a cross-domain cooperation mechanism is constructed. Compared with a system which depends on single sensor feedback and cannot realize deep collaboration or real-time response in the prior art, the system has the advantages that the stability judgment precision, the energy recovery efficiency, the control strategy self-adaptability, the equipment maintenance visualization and the like are remarkably improved, and by introducing a multi-dimensional coupling coefficient and a physical structure analysis model, the stability of the system is greatly improved. And the conversion of the system from'passive control 'to'active optimization' is realized.

This application relates to the field of geological structural analysis technology, specifically to a method, apparatus, and electronic equipment for determining the stage of horizontal slip distance. It solves the problem in existing technologies that the horizontal slip distance cannot be quantitatively calculated in stages during the development stages of overlying en echelon normal faults and underlying vertical strike-slip faults. First, the layering characteristics of the strike-slip fault profile in the area to be measured are determined based on 3D seismic data. Then, based on the layering characteristics of the strike-slip fault profile, the main active stratigraphic system of the strike-slip faults in the area is determined. Finally, the planar distribution of the underlying vertical strike-slip faults and overlying en echelon normal faults in the caprock-draggered strike-slip fault is determined based on relevant attribute maps. Based on this, and combined with the formation theory of overlying en echelon normal faults in caprock-draggered strike-slip faults, the inherent relationship between the cumulative fault displacement of the en echelon normal faults and the horizontal slip distance of the strike-slip fault is used to achieve quantitative estimation of the staged horizontal slip distance of multi-stage active caprock-draggered underground strike-slip faults.

This technology enables the numerical analysis of the effect that anisotropic materials have on the overall rigidity of a structure when the material is anisotropic. [Solution] A structural analysis method for an anisotropic material according to one aspect of the present invention comprises the steps of: assigning calculation points to structural data (S11); assigning material properties including anisotropy to structural data (S12); assigning load points, support points, and arbitrary points to the calculation points (S13); and determining an index (A) based on the ratio of a first work required for the displacement of the load point when the material axis vector at the arbitrary point is set according to the anisotropy of the material properties, and a second work required for the displacement of the load point when the direction of the material axis vector is rotated to coincide with the displacement direction of the load point. * The steps involve calculating the index (A) while changing an arbitrary point. * ) is calculated, and the index (A) in the structural data is calculated. * The system comprises the steps of calculating the distribution of (S14-S16) and

A Beidou-based structural deformation monitoring method, system, and storage medium relate to the field of deformation monitoring. The method comprises: acquiring the engineering facility structure of a target monitoring object and performing structural analysis on its key components to accurately obtain dynamic characteristic parameters of the engineering facility structure. These dynamic characteristic parameters reflect the response characteristics of the engineering facility structure under different environmental parameters, thereby enabling the establishment of an accurate physical model of the engineering facility. By acquiring and inputting real-time monitoring data, state prediction is performed in combination with preset environmental parameters to obtain predicted monitoring data, which is then compared with the real-time monitoring data. Abnormal changes in the engineering facility structure can be detected in a timely manner. When the monitoring difference exceeds a preset change threshold, an early warning prompt message is sent to a client. This can improve the accuracy and timeliness of deformation monitoring, prevent potential structural risks, and thus ensure the safety and stability of the engineering facility.

A computer-implemented method for repairing a structural defect includes determining a size and position of a defect within a structural element and, in accordance with a structural analysis of the defect, determining a stitching pattern that counters loss of structural integrity due to the defect. A set of holes and channels are formed in the structural element in accordance with the stitching pattern. The set of holes and channels in the structural element are filled around the defect in accordance with the stitching pattern to increase strength around the defect.

A data processing system and method for generating structural engineering documents using artificial intelligence (AI) is disclosed. The system comprises a memory storing a dataset of engineered structures, including instances of structural failures, and a machine learning model trained on the dataset to perform structural analysis and generate optimized design documents. The AI system receives input data specifying design requirements, simulates the structure's behaviours under various conditions, and generates structural engineering documents, including 3D CAD models, based on an optimal combination of materials. The system may include a feedback integration module for continuous refinement of the machine learning model, an analytics engine for performance monitoring, and an electronic filing integration for streamlining the design approval process. The AI system learns from past projects to rapidly generate code-compliant, cost-optimized, and resilient structural designs.

The invention discloses a tunnel rock-soil structure analysis method and system, and relates to the technical field of geotechnical engineering.According to the tunnel rock-soil structure analysis method and system, structured monitoring time sequence data with time and process labels are introduced, and a surrounding rock state evolution model coupling excavation disturbance factors and time effects is combined; the surrounding rock mechanical parameters are no longer regarded as fixed constants, but are predicted in a time sequence form, so that the change track of the parameters in a future preset time period can be directly obtained, and the transformation from post-event equivalent inversion to future prediction is realized; on the basis, the cost of calculating the mechanical response of the tunnel structure at a time is remarkably reduced through a forward simulation element model obtained by training a high-fidelity numerical simulation result, so that rapid evaluation on various support schemes and surrounding rock evolution conditions within reasonable time becomes possible, and a real-time iterative analysis tool is provided for site construction.

The invention relates to the field of underground powerhouse information of hydroelectric power engineering, and discloses an underground powerhouse three-dimensional model rapid construction method combining Grasshopper and Revit, comprising the following steps: S1, forming a three-dimensional terrain entity according to terrain contour line data and stratum exploration data, S2, determining a plurality of working planes on the basis of the three-dimensional terrain entity; s3, creating a drainage pipe family sample based on Revit, importing Excel data through Grasshopper to carry out parametric modeling, and generating a drainage hole curtain layout; s4, the drainage hole curtain layout generated by the Grasshopper is introduced into Revit through a Revit plug-in; and S5, performing quality inspection and repair on the constructed three-dimensional entity of the underground powerhouse. By combining Grasshopper and Revit parametric modeling technologies, rapid construction from topographic and geological data to an underground powerhouse structure entity is achieved, the problems that traditional manual modeling is long in time consumption and prone to errors are solved, meanwhile, the spatial precision of stratigraphic stratification, fracture simulation and building arrangement can be kept, and it is ensured that the model can be used for engineering numerical calculation and structural analysis.

The invention relates to the field of oil-gas field development, in particular to a quantitative evaluation method for an ultra-low permeability reservoir oil well yield contribution rate. The method mainly solves the problems that an existing method for evaluating the yield contribution rate of the ultra-low permeability reservoir fractured geology oil well is poor in accuracy of a judgment result of oil well potential detection and low in accuracy of an oil well reserve evaluation result. Comprising the following steps: S1, detecting an oil well, and performing structural analysis on a detection result; s2, carrying out oil well potential detection according to a structural analysis result; s3, reserve evaluation; and S4, contribution rate calculation. According to the quantitative evaluation method for the yield contribution rate of the ultra-low permeability reservoir oil well, whether the ultra-low permeability reservoir fractured geological oil well has potential or not can be accurately judged, the evaluation result is accurate and reliable, and a reliable basis is provided for subsequent rapid optimization of a tight oil area.

The invention provides a method for predicting off-axis tensile strength of a fiber web reinforced ECC composite material, and belongs to the technical field of novel building materials. The method specifically comprises the following steps: obtaining the axial tensile strength of the fiber woven mesh reinforced high-ductility cement-based composite material TR-ECC through a uniaxial tensile test along the warp direction of the fiber woven mesh; determining the off-axis tensile strength of the TR-ECC at at least one non-zero off-axis angle through a test; on the basis of the axial tensile strength and the off-axis tensile strength, an undetermined coefficient is calculated according to the function relation that the TR-ECC tensile strength changes along with the off-axis angle; the included angle between the load direction and the warp direction of the fiber woven mesh in the TR-ECC structure to be predicted is measured; predicting TR-ECC off-axis tensile strength according to the axial tensile strength, the undetermined coefficient and the included angle; and inputting the off-axis tensile strength as a key parameter into the TR-ECC structural analysis finite element model, and carrying out structural analysis design and optimization. The TR-ECC tensile strength at any off-axis angle can be predicted through a small amount of test data.

The application discloses a marine structure SPMT layout method based on a model structure analysis method, belongs to the technical field of SPMT layout, and is used for SPMT layout. The method comprises the following steps: determining a SPMT layout area range as a general constraint condition based on physical information of a deck piece; modeling a physical model of the deck piece on the physical information of the deck piece; and judging the distribution of a main beam in the deck piece. The method further comprises the following steps: taking a SPMT layout state as a chromosome structure to initialize a population; calculating hydraulic balance; connecting the physical model of the deck piece with a physical model of each SPMT; performing finite element analysis to obtain a structural strength value; taking the hydraulic balance and the structural strength value as two variables of a fitness function; and obtaining a unique solution of the SPMT layout state. Through automatic calculation, the method obtains a solution set of the best compromise scheme of the overall structural safety and hydraulic balance, and obtains a relatively optimized SPMT layout scheme of a marine structure.

The application discloses a bridge component intelligent modeling and checking method and system based on Dynamo, belongs to the field of bridge engineering information modeling and structural performance visual analysis, and comprises the following steps: presetting component family sketches and parameter control rules in Revit; constructing a three-dimensional modeling process based on geometric lofting in Dynamo; realizing two-way synchronization between parameters and geometry by using a Python script; calling a bridge component standard database to compare and replace model configurations; structuring nested family parameters and outputting XML format information; connecting a structural analysis platform through a model-checking interface and automatically establishing a finite element model; executing multi-working-condition checking and returning structural performance indexes; embedding visual results in the form of a heat map in Dynamo; realizing closed-loop feedback and real-time updating of structural design and checking; and constructing a whole-process parameter-driven bridge component modeling and performance analysis integrated system.

The invention discloses an urban traffic passenger flow fluctuation prediction system based on a multi-agent model, and the system comprises a data collection and preprocessing module which is used for generating a traffic basic data set; the traffic agent construction module is used for mapping the objects into traffic agents and generating a traffic agent set; the behavior constraint construction module is used for generating a multi-agent behavior constraint set; the passenger flow reachable domain generation module is used for generating a passenger flow reachable domain; the morphological characteristic parameter generation module is used for structural analysis and morphological characteristic parameter generation; the passenger flow fluctuation window identification module is used for generating a passenger flow fluctuation generation window according to the change condition of the morphological characteristic parameters; and the passenger flow fluctuation result generation module is used for generating an interval range and a structural form result of future passenger flow fluctuation. Based on a multi-agent constraint reachable domain analysis mode, the urban traffic passenger flow fluctuation interval and the structural form are judged in advance, and the method has the advantages of being high in prediction perspectiveness and accurate in structural description.

The invention discloses a method for analyzing an integral swing structure with asymmetrical rigidity around a strong axis and a weak axis of the structure. The method comprises the following steps: S1, designing an upper structure; s2, calculating the shear force of the base; s3, the shear bearing capacity of the vertical tension-compression energy dissipation limiting support is designed; s4, establishing a mechanical analysis model, and solving a force balance equation; s5, a rigid body displacement proportion u3 / u is preset, and the basic rotation rigidity KSy of the upper structure around the weak axis side is solved; s6, calculating the rigidity of the vertical bearing damping body according to the axial force of the bottom of the upper structure under the action of the gravity load; s7, the basic rotation rigidity Ksx of the upper structure around the strong axis side is calculated; s8, the basic rotation rigidity Ksx of the side, around the strong axis, of the upper structure is substituted into the force balance equation, the lateral stiffness of the side, around the strong axis, of the upper structure is calculated, and the section size of a beam or a column is adjusted; s9, a vertical tension and compression energy consumption limiting support is designed; s10, estimating a damping ratio, and carrying out earthquake time history response analysis; and checking whether a corresponding limit value and a performance target of the specification are met.

The present invention provides a neural network-based real-time structural analysis method and system, which are applied to the field of data processing technology. This application preprocesses and extracts structural features from manufacturing scene data to generate feature analysis data; performs real-time analysis of the vehicle structure based on a neural network model to generate real-time analysis feature parameters; performs outlier filtering on changes in structural features of adjacent frames based on a dynamic threshold algorithm to generate structural state change data; processes the structural state change data to generate structural health dynamic assessment data and structural anomaly features; processes the data based on preset structural safety determination rules and structural anomaly features to generate structural safety determination data; and processes the safety determination data and real-time analysis feature parameters to generate structural fault warning information and production adjustment control instructions.

A plurality of potential repair processes for a stack of IBRs may be determined. Each repair process may be associated with a defect on an inspected IBR. A finite element model of the stack of IBRs may be generated to model a potential repaired defect of each inspected IBR. The model may also include a plurality of vane stages disposed between adjacent inspected IBRs and an engine case. A structural analysis and an aerodynamic analysis may be performed. Whether the stack of IBRs with the potential repaired defect meets a structural criteria and an aerodynamic criteria may be determined. Each IBR in the stack of IBRs may be repaired with the repair process for the potential repaired defect for each inspected IBR in the stack of IBRs in response to determining the stack of IBRs meets the structural criteria and the aerodynamic criteria.

The present application relates to the field of building structure fire prevention design, especially to a kind of super high-rise giant steel pipe concrete special-shaped column fire performance design method, determine super high-rise giant steel pipe concrete special-shaped column basic parameter and fire prevention design target, fire retardant coating selection and coating thickness design, giant column thermal analysis model is established, giant column structure analysis model is established;Giant column fire resistance bearing capacity checking;Giant column fire resistance finite element analysis and verification.The present application has beneficial effects: the integration of super high-rise giant steel pipe concrete special-shaped column fire prevention design is realized, systematization, integrates fire retardant coating selection, thermal analysis, structure analysis, fire resistance bearing capacity checking and five big core links of finite element verification, solves the problem of the disconnection of existing design each link, low design efficiency, ensures the scientificity and integrity of design scheme;For the characteristics of irregular special-shaped column section, uneven heating, a refined thermal analysis model is established, the accuracy of the design model and the reliability of the design scheme are ensured.