Safety analysis method and system for construction area in construction process based on squat silo

Abstract

The invention discloses a safety analysis method and system for a construction area in a construction process based on a squat silo, and relates to the field of engineering safety analysis, and the method comprises the steps: carrying out the data collection according to a mechanical model of a squat silo structure, and constructing a three-dimensional data model of the squat silo through employing a BIM technology; a dynamic stress calculation model is established by combining the construction progress and component stress, equipment arrangement and material parameters in the three-dimensional data model; using the dynamic stress calculation model to calculate stress condition distribution of different construction areas, inputting a calculation result into a dynamic analysis tool, outputting a stress analysis chart to obtain a risk assessment result, and outputting a safety level and an early warning prompt through a safety level assessment model; and realizing dynamic visualization of the regional risk three-dimensional model according to the risk assessment result, the security level and the early warning prompt. The safety and efficiency of the squat silo construction process are effectively improved, a real-time dynamic risk assessment and early warning mechanism can be provided, and the structure failure risk is prevented.

Description

Technical Field

[0001] This invention relates to the field of engineering safety analysis, and in particular to a method and system for safety analysis of the construction area during the construction process of a shallow circular silo. Background Technology

[0002] With the development of construction engineering technology, shallow circular silos, as a structural form widely used in warehousing, chemical, and food industries, face numerous potential safety risks during construction and operation due to their unique structural characteristics. The safety of shallow circular silos directly affects their load-bearing capacity and long-term stability. Therefore, how to effectively analyze, assess, and control safety risks during construction has become one of the urgent problems to be solved.

[0003] Shallow circular silos typically exhibit thin-shell structural properties. Influenced by external loads, the gradual application of loads, changes in material strength, and environmental factors during construction can significantly alter the stress state and deformation of the silo at different construction stages. Therefore, traditional static load analysis methods are insufficient to meet the dynamic safety requirements of shallow circular silo construction. Furthermore, traditional safety analysis methods lack real-time performance, have inaccurate safety assessments, fail to adequately integrate dynamic loads with construction progress, and suffer from outdated risk management measures, all of which contribute to numerous safety hazards during shallow circular silo construction.

[0004] Traditional 3D regional risk models face challenges in real-time monitoring data processing, computational complexity, and resource consumption. They also suffer from insufficient interactivity and intuitiveness in dynamic visualization, as well as inadequate timeliness and accuracy in model updates. These issues present numerous technical bottlenecks for the construction of shallow circular silos. Summary of the Invention

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, this invention provides a construction area safety analysis method based on shallow circular silos, which solves the problems of traditional safety analysis methods lacking real-time performance, inaccurate safety assessment, insufficient integration of dynamic loads and construction progress, and lagging risk management measures.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] In a first aspect, the present invention provides a method for safety analysis of the construction area during the construction process of a shallow circular silo, comprising:

[0009] Based on the mechanical model of the shallow circular silo structure, data was collected, and BIM technology was used to construct a three-dimensional data model of the shallow circular silo.

[0010] A dynamic stress calculation model is established by combining the construction progress with the component stress, equipment layout and material parameters in the three-dimensional data model.

[0011] Using the dynamic stress calculation model, the stress distribution of different construction areas is calculated. The calculation results are input into the dynamic analysis tool, and the stress analysis diagram is output to obtain the risk assessment results. The safety level assessment model is used to output the safety level and early warning prompts.

[0012] Based on the risk assessment results, safety levels, and early warning prompts, dynamic visualization of the regional risk three-dimensional model is achieved.

[0013] As a preferred embodiment of the construction area safety analysis method based on the construction process of the shallow circular silo described in this invention, the mechanical model of the shallow circular silo structure includes: based on the shallow circular silo being a thin-walled cylindrical shell with a small height-to-diameter ratio; through simplified analysis, the shallow circular silo is regarded as an axisymmetric ring-stiffened thin shell composed of several circumferential shell units of equal thickness connected in series; the axisymmetric membrane theory and boundary layer correction are used to simplify the circumferential stress of the thin shell in layers, and the stress calculation formula is derived and simplified using the thin shell theory;

[0014] The components of the shallow circular silo include the cylindrical wall, the foundation ring beam, and the top ring beam;

[0015] The circumferential stress formula and radial stress formula in the stress calculation formula are expressed as follows:

[0016]

[0017]

[0018] in, Represents radial coordinates; Represents the vertical coordinate; This represents the circumferential stress in the wall of a shallow circular silo. This represents the radial stress in the wall of a shallow circular silo. Indicates the elastic modulus; Indicates the wall thickness of a shallow circular silo; Indicates the radius of the shallow circular silo; This represents the Poisson's ratio of the material in the shallow round silo. This indicates the amount of deformation of the shallow circular silo wall;

[0019] The axisymmetric membrane theory and boundary layer correction simplify the circumferential stress of thin shells by replacing stress distribution with membrane force; using axisymmetric membrane theory as the main layer, and calculating the approximately uniform circumferential membrane stress across the thickness based on the axisymmetric membrane theory; using the boundary layer as the correction layer, adding a correction term that decays rapidly near the boundary to address actual bending boundary conditions; and expressing the total circumferential stress as a linear superposition of the membrane layer and boundary layer correction terms to reduce the computational scale; under axisymmetric lateral pressure, the dominant circumferential stress is expressed as:

[0020]

[0021] in, Indicates the axial coordinate; Indicates the circumferential principal stress; Indicates the equivalent pressure inwards; Indicates the equivalent pressure in the outer direction; Indicates the radius of the shallow circular silo; Indicates the wall thickness of a shallow circular silo;

[0022] The data acquisition includes collecting physical data on geometry and boundaries, materials, action and environment, and structural response through the deployment and calibration of sensors and Internet of Things (IoT) technology.

[0023] As a preferred embodiment of the construction area safety analysis method based on shallow circular silo construction process described in this invention, the three-dimensional data model includes real-time monitoring data of the shallow circular silo constructed using BIM technology to describe and display the construction, construction and operation process.

[0024] Artificial intelligence algorithms are used to optimize the real-time monitoring data. The three-dimensional data model takes the physical data as input and integrates the component stress, equipment layout and material parameters obtained by solving the mechanical model of the shallow circular silo structure into a digital three-dimensional space. The dynamic stress model is established based on the real-time three-dimensional data using the finite element analysis method.

[0025] The artificial intelligence algorithm includes using machine learning and deep learning algorithms to perform noise filtering and anomaly detection on the real-time monitoring data, thereby processing the real-time monitoring data more accurately.

[0026] As a preferred embodiment of the construction area safety analysis method based on shallow circular silo construction process described in this invention, the dynamic stress calculation model includes simulating the stress situation of each construction stage based on the thin shell theory and finite element analysis method. The finite element analysis method includes the ability to use the parameters output by the formula to perform distributed calculation of the stress state of the stress result on each finite element and output the results.

[0027] The output results include load stress distribution maps of different regions generated by calculating the circumferential and radial stresses.

[0028] As a preferred embodiment of the construction area safety analysis method based on the construction process of a shallow circular silo as described in this invention, the dynamic analysis tool includes: using a finite element analysis model, inputting the load stress distribution diagram, processing the dynamic load, combining the construction progress and material parameters, generating a stress analysis diagram of the shallow circular silo, analyzing the response of the shallow circular silo under dynamic loads, and obtaining the unit engineering requirement parameters of the shallow circular silo thin shell. The unit load-bearing capacity is established based on the material parameters. ,based on The risk index is obtained by calculating the reliability index, and a spatial risk distribution is generated based on the threshold to obtain the risk assessment result.

[0029] As a preferred embodiment of the construction area safety analysis method based on shallow circular silo construction process described in this invention, the safety level assessment model includes: collecting environmental and dynamic load indices based on stress analysis and the risk assessment results, calculating the environmental amplification factor, synthesizing reliability indices and safety factors, and then calculating the safety level;

[0030] The safety level is defined based on reliability index and safety factor. A reliability index > 3 and a safety factor > 1.5 indicate a high safety level; 2 < reliability index ≤ 3 and 1.0 ≤ safety factor ≤ 1.5 indicate a medium safety level; and a reliability index ≤ 2 and a safety factor < 1.0 indicate a low safety level.

[0031] The formula for the reliability index is as follows:

[0032]

[0033] in, Indicates reliability index; This represents the average load-bearing capacity of the structure. This represents the average value of the applied load; This represents the variance of the structural bearing capacity; Represents the variance of the applied load;

[0034] The formula for the safety factor is expressed as follows:

[0035]

[0036] in, Indicates the safety factor; Represents a time variable; Indicates the model correction coefficient; This indicates a reduction in the resistance to temperature. This indicates a reduction in the resistance to moisture content; Indicates the material's stable load-bearing capacity; Indicates the material coefficient; Indicates the partial factor of the effect; Indicates the environmental amplification factor; This represents the stress obtained from the mechanical model of the shallow circular silo;

[0037] The environmental magnification factor This includes the weighted synthesis of sub-coefficients for dynamic amplification, temperature, moisture content, wind pulsation, and seismic amplification. The weighted synthesis formula is expressed as follows:

[0038]

[0039] in, This represents the overall environmental amplification factor; Indicates the power amplification factor; Indicates the temperature coefficient; Indicates the moisture content coefficient; Indicates the wind pulsation coefficient; Indicates the seismic amplification factor;

[0040] The warning notification includes issuing warnings for risk areas based on the security level assessment results, and the warning types include red warnings, orange warnings, and yellow warnings.

[0041] As a preferred embodiment of the construction area safety analysis method based on shallow circular silo construction process described in this invention, the dynamic visualization of the three-dimensional risk model of the area includes importing the risk assessment result data into the three-dimensional data model of the shallow circular silo, combining AR technology to integrate colors, markings, the safety level and warning prompts with the actual construction environment to present risk information, and intuitively displaying risk changes as real-time stress data is updated.

[0042] In the three-dimensional risk model of the area, an automated synchronization technology is introduced to automatically synchronize and update the three-dimensional data model, the dynamic stress calculation model, and the real-time monitoring data.

[0043] The automated synchronization technology uses Internet of Things (IoT) technology to enable real-time synchronization between real-time monitoring data and 3D data models.

[0044] Secondly, the present invention provides a construction area safety analysis system based on the construction process of a shallow circular silo, comprising:

[0045] The model building unit collects data based on the mechanical model of the shallow circular silo structure and uses BIM technology to build a three-dimensional data model of the shallow circular silo.

[0046] The data acquisition unit, in conjunction with the construction progress and the component stress, equipment layout and material parameters in the three-dimensional data model, establishes a dynamic stress calculation model;

[0047] The analysis unit uses the dynamic stress calculation model to calculate the stress distribution in different construction areas, inputs the calculation results into the dynamic analysis tool, outputs a stress analysis diagram to obtain risk assessment results, and outputs safety level and early warning prompts through the safety level assessment model.

[0048] The data visualization unit enables dynamic visualization of the regional risk three-dimensional model based on the risk assessment results, safety level, and early warning prompts.

[0049] Thirdly, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, it implements any step of the construction area safety analysis method based on the construction process of a shallow circular silo as described in the first aspect of the present invention.

[0050] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the construction area safety analysis method for the construction process based on shallow circular silos as described in the first aspect of the present invention.

[0051] The beneficial effects of this invention are as follows: The construction area safety analysis method based on shallow circular silos provided by this invention can effectively solve the problems of traditional safety analysis methods, such as lack of real-time performance, inaccurate safety assessment, insufficient integration of dynamic loads and construction progress, and lagging risk management measures. By combining a 3D BIM model with a dynamic stress calculation model, the stress state and deformation of the shallow circular silo at different construction stages can be reflected in real time. During construction, factors such as load, temperature, and material strength are constantly changing, and traditional static analysis methods cannot accurately capture these dynamic changes. This method can timely and accurately assess the safety of the structure during dynamic construction, avoiding safety hazards caused by stress changes. By using finite element analysis and a dynamic stress calculation model, the stress distribution of the shallow circular silo can be accurately calculated, especially under the influence of dynamic loads during construction, improving the accuracy of structural risk prediction. Furthermore, cloud computing and edge computing are introduced into the traditional dynamic stress calculation model to share the computational tasks, effectively improving the computational speed and reducing the pressure on individual nodes. By introducing artificial intelligence optimization algorithms, the processing capability and accuracy of real-time data can be further improved, achieving more accurate risk assessment and early warning. AR technology enhances the interactivity and intuitiveness of the 3D risk model for construction management personnel. Automated synchronization technology ensures that the BIM model, dynamic stress calculation model, and real-time monitoring data are automatically updated synchronously. A safety level assessment model combines stress analysis results with reliability indicators and safety factors to provide a comprehensive safety level assessment, achieving a quantitative evaluation of structural safety. An early warning system automatically issues alerts when structural risks reach predetermined thresholds, significantly improving response speed to sudden risks and reducing potential construction accidents. By dynamically visualizing the real-time calculated risk data through the 3D model, construction management personnel can intuitively see the risk levels of different areas and make timely adjustments. This dynamic visualization not only improves risk identifiability but also optimizes the responsiveness and accuracy of management decisions, providing a novel technological approach for safety assessment and risk management during the construction of shallow circular silos. Attached Figure Description

[0052] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 The first embodiment of the present invention provides an overall flowchart of a construction area safety analysis method based on a shallow circular silo construction process. Detailed Implementation

[0054] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0055] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0056] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0057] Example 1, referring to Figure 1 This is one embodiment of the present invention, which provides a method for safety analysis of the construction area during the construction process of a shallow circular silo, including the following steps:

[0058] S1. Based on the mechanical model of the shallow circular silo structure, data is collected, and BIM technology is used to construct a three-dimensional data model of the shallow circular silo.

[0059] The mechanical model of the shallow circular silo structure includes the following: based on the fact that the shallow circular silo is a thin-walled cylindrical shell with a small height-to-diameter ratio; through simplified analysis, the shallow circular silo is regarded as an axisymmetric ring-stiffened thin shell composed of several circumferential shell units of equal thickness connected in series; the axisymmetric membrane theory and boundary layer correction are used to simplify the circumferential stress of the thin shell in layers, and the stress calculation formula is derived and simplified using the thin shell theory.

[0060] The components of the shallow circular silo include the cylindrical wall, the foundation ring beam, and the top ring beam.

[0061] The circumferential stress formula and radial stress formula in the stress calculation formula are expressed as follows:

[0062]

[0063]

[0064] in, Represents radial coordinates; Represents the vertical coordinate; This represents the circumferential stress in the wall of a shallow circular silo. This represents the radial stress in the wall of a shallow circular silo. Indicates the elastic modulus; Indicates the wall thickness of a shallow circular silo; Indicates the radius of the shallow circular silo; This represents the Poisson's ratio of the material in the shallow round silo. This indicates the amount of deformation of the shallow circular silo wall.

[0065] The axisymmetric membrane theory and boundary layer correction simplify the circumferential stress of thin shells by replacing stress distribution with membrane force; using axisymmetric membrane theory as the main layer, and calculating the approximately uniform circumferential membrane stress across the thickness based on the axisymmetric membrane theory; using the boundary layer as the correction layer, adding a correction term that decays rapidly near the boundary to address actual bending boundary conditions; and expressing the total circumferential stress as a linear superposition of the membrane layer and boundary layer correction terms to reduce the computational scale; under axisymmetric lateral pressure, the dominant circumferential stress is expressed as:

[0066]

[0067] in, Indicates the axial coordinate; Indicates the circumferential principal stress; Indicates the equivalent pressure inwards; Indicates the equivalent pressure in the outer direction; Indicates the radius of the shallow circular silo; This indicates the wall thickness of the shallow circular silo.

[0068] The data acquisition includes collecting physical data on geometry and boundaries, materials, action and environment, and structural response through the deployment and calibration of sensors and Internet of Things (IoT) technology.

[0069] It's important to understand that shallow circular silos are thin-walled cylindrical shells with a small height-to-diameter ratio and a wall thickness much smaller than their radius. They typically feature a foundation ring beam and a top ring beam. Their main components are the cylinder wall, the ring beam / ring beam, and the foundation. During construction and early operation, they primarily bear: internal lateral loads (material lateral pressure or converted lateral pressure from temporary construction loads), external wind pressure, restraint stress caused by temperature gradients, and additional stress induced by roundness / waviness defects.

[0070] The axisymmetric membrane theory is a bending-free stiffness approximation in thin-shell / shell mechanics: when the shell is very thin, its forces and geometry are symmetric about a certain axis, and its deformation is small and bending effects are negligible, the shell transmits forces only through in-plane tension and compression (membrane forces), without considering bending moments and shear forces. In this way, the governing equations are reduced from partial differential equations to one-dimensional ordinary differential equations about meridional coordinates, which are extremely fast to solve and have intuitive physical meaning.

[0071] The boundary layer correction is based on the "mid-domain solution" obtained by membrane theory for thin shells. At the boundaries, openings, supports, abrupt changes in thickness / stiffness, and the introduction of concentrated loads, an additional rapidly decaying bending-shear field is superimposed to satisfy the actual boundary conditions (displacement / rotation / moment / shear force, etc.) there.

[0072] It is important to know that the axisymmetric membrane theory and boundary layer correction simplify the circumferential stress of thin shells by creating layers, and can be incorporated into additional terms for visualization, including:

[0073] Additional temperature difference (linear temperature difference / ring beam restraint):

[0074] If there is a temperature difference along the thickness or circumference of the cylinder wall and it is constrained by the ring beam, the circumferential thermal stress is approximately taken as:

[0075]

[0076] in, This indicates circumferential thermal stress caused by temperature. Indicates the thermal constraint coefficient; Indicates the elastic modulus; Indicates the coefficient of linear expansion; Indicates the amount of temperature change; ) represents the Poisson coupling correction factor under plane stress; this term is an additive thermal stress correction, which superimposes the effect of temperature on the film dissociation.

[0077] Additional terms for geometric defects (second-order effects caused by roundness / wavyity):

[0078] For a small initial eccentricity, taking the first characteristic wave (axisymmetric dominance) is equivalent to:

[0079]

[0080] in, This represents the circumferential membrane stress caused by geometric effects; Indicates the geometric influence coefficient; Indicates the elastic modulus; Indicates the thickness of the shallow circular chamber; Indicates the radius of the shallow circular silo; Indicates Poisson's ratio; This formula represents a given geometric deviation; it is often used to evaluate the additional circumferential membrane stress caused by initial geometric defects or forced displacement in axisymmetric thin shells under small deformation membrane conditions.

[0081] Additional items for ring beam constraint redistribution:

[0082] The top ring beam is constrained by an equivalent circumferential spring to expand and contract in the circumferential direction. It introduces additional membrane force in the near-top region of the cylinder wall. An exponentially decaying boundary layer is used to capture the boundary layer effect of "ring beam stiffness - local additional stress - decay with elevation". A closed expression is used to provide rapid evaluation.

[0083] Additional item for locally acting equipment (equivalent circumferential bending moment):

[0084] The temporary equipment causes a local bending moment in the circumferential direction, which can be approximated by the nominal bending normal stress of the plate and shell:

[0085]

[0086] in, Indicates circumferential bending normal stress; This represents the resultant force of the circumferential bending moment; This indicates the thickness of the shallow circular chamber; this term, represented by the bending term, characterizes the peak additional stress caused by local equipment, making it easier to incorporate temporary working conditions into the total stress.

[0087] The three-dimensional data model includes data constructed using BIM technology to describe and display the shallow circular silo, including real-time monitoring data during construction and operation.

[0088] Artificial intelligence algorithms are used to optimize the real-time monitoring data. The three-dimensional data model takes the physical data as input and integrates the component stress, equipment layout and material parameters obtained by solving the mechanical model of the shallow circular silo structure into a digital three-dimensional space. The dynamic stress model is established based on the real-time three-dimensional data using the finite element analysis method.

[0089] The artificial intelligence algorithm includes using machine learning and deep learning algorithms to perform noise filtering and anomaly detection on the real-time monitoring data, thereby processing the real-time monitoring data more accurately.

[0090] The machine learning (ML) mentioned refers to the use of machine learning algorithms (such as support vector machines, decision trees, random forests, etc.) to perform pattern recognition and prediction on real-time monitoring data. For example, machine learning can be used to analyze historical construction data and real-time monitoring data to predict potential risk points or stress changes in the structure and optimize the accuracy of dynamic stress calculation models.

[0091] Deep learning (DL) refers to algorithms such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) that can extract high-level features from large amounts of unstructured data (such as images, videos, and sensor data) and identify complex patterns and anomalies. For example, deep learning-based image recognition can help identify potential risk factors (such as cracks and deformations) at construction sites and combine them with stress analysis models for risk prediction.

[0092] Artificial intelligence algorithms can automatically improve the accuracy of model predictions by extracting patterns from historical data and optimizing model parameters. Compared with traditional model data processing, the data obtained by introducing artificial intelligence algorithms is more accurate.

[0093] It's important to understand that BIM technology integrates all structural information, equipment layout, and physical properties of a shallow circular silo into a digital 3D space, creating a 3D model of the silo. This model displays all its structures, equipment, facilities, and related parameters in digital space. It includes not only the geometric information of the building and structure but also various physical properties and functional information, such as materials, loads, equipment layout, and piping systems. This information can be used throughout the entire project lifecycle, including the design, construction, operation, and maintenance phases. The BIM model supports multi-party collaboration; personnel at each stage—design, construction, and operation—can share and update the model, enabling real-time information updates and communication, reducing design errors and resource waste. During the operation phase, the 3D BIM model of the shallow circular silo can be used to manage storage space, monitor equipment, and maintain and repair records, improving operational efficiency and accuracy.

[0094] S2. Based on the construction progress and the component stress, equipment layout and material parameters in the three-dimensional data model, establish a dynamic stress calculation model.

[0095] The dynamic stress calculation model includes simulating the stress conditions at each construction stage based on the thin shell theory and finite element analysis method. The finite element analysis method includes the ability to use the parameters output by the formula to perform distributed calculations on the stress state of the stress results on each finite element and output the results.

[0096] The output results include load stress distribution maps of different regions generated by calculating the circumferential and radial stresses.

[0097] Cloud computing technology offers powerful computing capabilities, enabling the processing of large-scale dynamic stress calculation models compared to traditional computing technologies. For example, when processing large amounts of data (such as large-scale 3D BIM models and data from multiple sensors), computing tasks can be distributed across multiple cloud servers for parallel computation. The cloud platform automatically performs load balancing, dynamically adjusting the load on computing nodes based on computing resource requirements and allocation strategies to ensure efficient completion of computing tasks.

[0098] Edge computing can distribute some of the computational tasks to computing nodes closer to the data source. These nodes can perform data preprocessing or preliminary analysis, such as data filtering, noise reduction, and preliminary calculations. This significantly reduces data processing latency.

[0099] It's important to understand that thin-shell theory is an analytical method in structural mechanics specifically used to study the response of thin-walled structures (structures with small wall thicknesses, very small relative to their other dimensions, such as cylinders, domes, and spherical shells) under external forces. The basic assumption of this theory is that the structure's thickness is very small relative to its other two dimensions (length and width), therefore deformation in the thickness direction can be ignored, focusing on in-plane deformation and stress. Thin-shell theory typically uses the Kirchhoff-Love thin-shell theory or the Reissner-Naghdi theory to describe its mechanical behavior. The Kirchhoff-Love thin-shell theory is one of the most commonly used theories; it encompasses the bending, shear, and tensile effects of thin shells. The application of thin-shell theory can effectively predict the mechanical properties of structures, optimize design schemes, and ensure the stability and safety of structures.

[0100] It's also worth mentioning that the finite element method (FEM) is used to solve partial differential equations in complex engineering and physics problems, including structural, thermal, and fluid dynamics problems. It divides a continuum (such as structures, materials, and fluids) into many small, simple elements, and simulates the behavior of the entire system by numerically solving these elements. When designing a shallow circular silo, FEM can help engineers analyze the stress distribution, deformation, and structural safety of the silo under different loads. Through appropriate mesh generation, FEM can divide the structure of the shallow circular silo into multiple small parts, calculate the response of each part under stress, and ultimately obtain the deformation and stress distribution diagram of the entire shallow circular silo.

[0101] S3. Using the dynamic stress calculation model, calculate the stress distribution in different construction areas, input the calculation results into the dynamic analysis tool, output the stress analysis diagram to obtain the risk assessment results, and output the safety level and early warning prompts through the safety level assessment model.

[0102] The dynamic analysis tool includes using a finite element analysis model, inputting the load stress distribution diagram, processing the dynamic load, and combining construction progress and material parameters to generate a stress analysis diagram of the shallow circular silo. It then analyzes the response of the shallow circular silo under dynamic loads to obtain the unit engineering requirement parameters for the thin shell of the shallow circular silo. The unit load-bearing capacity is established based on the material parameters. ,based on The risk index is obtained by calculating the reliability index, and a spatial risk distribution is generated based on the threshold to obtain the risk assessment result.

[0103] A load stress distribution diagram is a graphical tool used to show the stress distribution at various locations of an object or structure under the action of external forces (loads). It is usually calculated through finite element analysis (FEA) or other numerical methods, and can help engineers, designers, or researchers intuitively understand the stress state of a structure under load.

[0104] For example, when analyzing the load stress distribution diagram of a beam in a shallow circular silo, we find that the central part of the beam experiences the greatest bending stress, while the stress near the support points is relatively small. This diagram can help determine whether the beam will fail in the central part or whether reinforcement is needed to prevent excessive local stress from causing damage.

[0105] The safety level assessment model includes, based on stress analysis and the risk assessment results, collecting environmental and dynamic load indicators according to the construction progress, calculating the environmental amplification factor, synthesizing reliability indicators and safety factors, and then calculating the safety level.

[0106] The safety level is divided according to reliability index and safety factor. A reliability index > 3 and a safety factor > 1.5 indicate that the structure is at a high safety level; 2 < reliability index ≤ 3 and 1.0 ≤ safety factor ≤ 1.5 indicate that the structure is at a medium safety level; and a reliability index ≤ 2 and a safety factor < 1.0 indicate that the structure is at a low safety level.

[0107] The formula for the reliability index is as follows:

[0108]

[0109] in, Indicates reliability index; This represents the average load-bearing capacity of the structure. This represents the average value of the applied load; This represents the variance of the structural bearing capacity; This represents the variance of the applied load.

[0110] The formula for the safety factor is expressed as follows:

[0111]

[0112] in, Indicates the safety factor; Represents a time variable; Indicates the model correction coefficient; This indicates a reduction in the resistance to temperature. This indicates a reduction in the resistance to moisture content; Indicates the material's stable load-bearing capacity; Indicates the material coefficient; Indicates the partial factor of the effect; Indicates the environmental amplification factor; This represents the stress obtained from the shallow circular silo mechanical model.

[0113] The environmental magnification factor This includes the weighted synthesis of sub-coefficients for dynamic amplification, temperature, moisture content, wind pulsation, and seismic amplification. The weighted synthesis formula is expressed as follows:

[0114]

[0115] in, This represents the overall environmental amplification factor; Indicates the power amplification factor; Indicates the temperature coefficient; Indicates the moisture content coefficient; Indicates the wind pulsation coefficient; This represents the seismic amplification factor.

[0116] The warning notification includes issuing warnings for risk areas based on the security level assessment results, and the warning types include red warnings, orange warnings, and yellow warnings.

[0117] A reliability index is an indicator used to measure the reliability of a system or structure under given conditions. It typically represents the probability that a structure, device, or system will maintain normal operation or remain undamaged within its intended service life under external loads and environmental influences. Reliability indices are usually expressed as dimensionless numerical values; a higher value indicates a more reliable system. The reliability index described in this invention... Reliability metrics are a standardized method for quantitatively describing the reliability of a structure or system. Reliability metrics are typically calculated based on the probability of structural failure. A higher reliability metric indicates that the system is less prone to failure.

[0118] It is important to know that in other alternative embodiments, reliability metrics may also include:

[0119] Reliability: Represents the probability that a system will not experience a failure within a specific time period. It is typically expressed as a value between 0 and 1; the closer to 1, the more reliable the system. The reliability formula is:

[0120]

[0121] in, Represents the reliability function; Indicates the probability of failure time; Indicates the system's lifespan; Indicates a given time.

[0122] S4. Based on the risk assessment results, safety level, and early warning prompts, achieve dynamic visualization of the regional risk three-dimensional model.

[0123] The dynamic visualization of the regional risk 3D model includes importing the risk assessment results into the 3D data model of the shallow circular silo, combining AR technology to integrate colors, labels, the safety level and warning prompts with the actual construction environment to present risk information, and intuitively displaying risk changes as real-time stress data is updated.

[0124] In the three-dimensional risk model of the area, an automated synchronization technology is introduced to automatically update the three-dimensional data model, the dynamic stress calculation model, and the real-time monitoring data.

[0125] The automated synchronization technology uses Internet of Things (IoT) technology to enable real-time synchronization between real-time monitoring data and 3D data models.

[0126] The visualization of the three-dimensional risk model for shallow circular silo structures transforms risk assessment results (such as structural stress, deformation, and safety levels) into intuitive and easily understandable three-dimensional graphics, enabling rapid identification and response to potential risk areas. Through this three-dimensional model, risk assessment and dynamic monitoring of each area during construction can be achieved. The visualization of the risk three-dimensional model described in this invention is presented as a risk heatmap.

[0127] A risk heatmap visualizes risk levels using color differences. Different colors represent different risk levels (e.g., red indicates high-risk areas, yellow indicates medium-risk areas, and green indicates low-risk areas).

[0128] For example, in the 3D BIM model of a shallow circular silo, different components (such as the cylinder wall, ring beam, foundation, etc.) will generate corresponding heat maps based on risk indicators such as structural stress, deformation, and reliability. Areas with stress concentration or excessive deformation in the structure will be displayed in red, indicating that these areas require special attention or reinforcement.

[0129] During construction, construction managers can view 3D risk models of the construction site using equipped mobile devices (such as smartphones, tablets, AR glasses, etc.). AR technology overlays these 3D risk models onto the construction site in real time. Through the device's camera and display screen, construction personnel can see high-risk areas (such as areas of structural deformation or excessive stress) and corresponding safety warnings. The AR device connects to a risk assessment system to display a real-time risk heat map, visually showing the safety status of different areas on the device screen using color coding (e.g., red for high-risk areas, yellow for medium-risk areas, and green for low-risk areas).

[0130] The automated synchronization technology includes real-time data acquisition and processing: at the construction site, sensors (such as strain gauges, temperature sensors, displacement sensors, etc.) are deployed to collect dynamic data during the construction process in real time. These sensors transmit the data to a central processing system via Internet of Things (IoT) technology for real-time monitoring and calculation.

[0131] Automated synchronization updates: Once the sensors collect data, automated synchronization technology ensures that this data is automatically updated into the BIM model and the dynamic stress calculation model. Through automated synchronization, the component, material parameters, load information, etc. in the BIM model can be kept in sync with real-time monitoring data (such as strain, temperature changes, etc.), ensuring the up-to-dateness of the model and data.

[0132] Cloud platforms can connect to IoT devices via API interfaces or data buses to enable data interaction and updates between different systems.

[0133] It should also be noted that, in other alternative embodiments, the visualization of the risk 3D model may also include:

[0134] Deformation visualization:

[0135] Deformation visualization displays the deformation of a structure under dynamic loads using a 3D model. It showcases the point of maximum displacement or the area of ​​maximum deformation through color or geometric deformation.

[0136] Security level visualization:

[0137] By mapping the structure's safety factor or reliability index onto a 3D model, different safety levels are represented by different colors or markers. Areas with low safety factors may be highlighted or displayed in red to indicate that these areas pose a higher risk.

[0138] Dynamic risk visualization:

[0139] As construction progresses, the 3D risk model can be continuously updated with real-time data (such as strain, displacement, temperature, and humidity). Dynamic visualization allows construction managers to monitor risk conditions in real time and intuitively display risk changes within the model.

[0140] Example 2, an embodiment of the present invention, provides a construction area safety analysis system based on shallow circular silos during construction, comprising:

[0141] The model building unit collects data based on the mechanical model of the shallow circular silo structure and uses BIM technology to build a three-dimensional data model of the shallow circular silo.

[0142] The data acquisition unit, in conjunction with the construction progress and the component stress, equipment layout and material parameters in the three-dimensional data model, establishes a dynamic stress calculation model;

[0143] The analysis unit uses the dynamic stress calculation model to calculate the stress distribution in different construction areas, inputs the calculation results into the dynamic analysis tool, outputs a stress analysis diagram to obtain risk assessment results, and outputs safety level and early warning prompts through the safety level assessment model.

[0144] The data visualization unit enables dynamic visualization of the regional risk three-dimensional model based on the risk assessment results, safety level, and early warning prompts.

[0145] This embodiment also provides a computer device applicable to the construction area safety analysis method based on the construction process of a shallow circular silo, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the construction area safety analysis method based on the construction process of a shallow circular silo as proposed in the above embodiment.

[0146] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0147] This embodiment also provides a storage medium storing a computer program, which, when executed by a processor, implements the construction area safety analysis method for the construction process based on shallow circular silos as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0148] In summary, this invention integrates the application of 3D BIM models, dynamic stress calculation models, dynamic analysis tools, and safety level assessment models in the construction process of shallow circular silos. This integration can be widely used in the field of safety analysis during the construction of shallow circular silos, improving the safety and efficiency of the construction process. It also provides real-time safety monitoring, dynamic risk assessment, and early warning mechanisms, effectively preventing potential structural failure risks, providing scientific decision support for construction personnel, and greatly improving construction safety and management efficiency. It has significant application prospects and social value.

[0149] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for safety analysis of the construction area during the construction process of a shallow circular silo, characterized in that: include, Based on the mechanical model of the shallow circular silo structure, data was collected, and BIM technology was used to construct a three-dimensional data model of the shallow circular silo. A dynamic stress calculation model is established by combining the construction progress with the component stress, equipment layout and material parameters in the three-dimensional data model. Using the dynamic stress calculation model, the stress distribution of different construction areas is calculated. The calculation results are input into the dynamic analysis tool, and the stress analysis diagram is output to obtain the risk assessment results. The safety level assessment model is used to output the safety level and early warning prompts. Based on the risk assessment results, safety levels, and early warning prompts, dynamic visualization of the regional risk three-dimensional model is achieved.

2. The construction area safety analysis method based on shallow circular silos as described in claim 1, characterized in that: The mechanical model of the shallow circular silo structure includes the following: the shallow circular silo is a thin-walled cylindrical shell with a small height-to-diameter ratio; By simplifying the analysis, the shallow circular silo is regarded as an axisymmetric ring-stiffened thin shell composed of several circumferential shell units of equal thickness connected in series. The axisymmetric membrane theory and boundary layer correction are used to simplify the circumferential stress of the thin shell in layers, and the stress calculation formula is derived and simplified using the thin shell theory. The components of the shallow circular silo include the cylindrical wall, the foundation ring beam, and the top ring beam; The circumferential stress formula and radial stress formula in the stress calculation formula are expressed as follows: ； ； in, Represents radial coordinates; Represents the vertical coordinate; This represents the circumferential stress in the wall of a shallow circular silo. This represents the radial stress in the wall of a shallow circular silo. Indicates the elastic modulus; Indicates the wall thickness of a shallow circular silo; Indicates the radius of the shallow circular silo; This represents the Poisson's ratio of the material in the shallow round silo. This indicates the amount of deformation of the shallow circular silo wall; The axisymmetric membrane theory and boundary layer correction simplify the circumferential stress of thin shells by replacing stress distribution with membrane force; using axisymmetric membrane theory as the main layer, and calculating the approximately uniform circumferential membrane stress across the thickness based on the axisymmetric membrane theory; using the boundary layer as the correction layer, adding a correction term that decays rapidly near the boundary to address actual bending boundary conditions; and expressing the total circumferential stress as a linear superposition of the membrane layer and boundary layer correction terms to reduce the computational scale; under axisymmetric lateral pressure, the dominant circumferential stress is expressed as: ； in, Indicates the axial coordinate; Indicates the circumferential principal stress; Indicates the equivalent pressure inwards; Indicates the equivalent pressure in the outer direction; Indicates the radius of the shallow circular silo; Indicates the wall thickness of a shallow circular silo; The data acquisition includes collecting physical data on geometry and boundaries, materials, action and environment, and structural response through the deployment and calibration of sensors and Internet of Things (IoT) technology.

3. The construction area safety analysis method based on shallow circular silos as described in claim 2, characterized in that: The three-dimensional data model includes, constructed using BIM technology, real-time monitoring data of the shallow circular silo during construction and operation; Artificial intelligence algorithms are used to optimize the real-time monitoring data. The three-dimensional data model takes the physical data as input and integrates the component stress, equipment layout and material parameters obtained by solving the mechanical model of the shallow circular silo structure into a digital three-dimensional space. The dynamic stress model is established based on the real-time three-dimensional data using the finite element analysis method. The artificial intelligence algorithm includes using machine learning and deep learning algorithms to perform noise filtering and anomaly detection on the real-time monitoring data, thereby processing the real-time monitoring data more accurately.

4. The construction area safety analysis method based on shallow circular silos as described in claim 3, characterized in that: The dynamic stress calculation model includes simulating the stress situation at each construction stage based on the thin shell theory and finite element analysis method. The finite element analysis method includes the ability to use the parameters output by the formula to perform distributed calculation on the stress state of the stress result on each finite element and output the results. The output results include load stress distribution maps of different regions generated by calculating the circumferential and radial stresses.

5. The construction area safety analysis method based on shallow circular silos as described in claim 4, characterized in that: The dynamic analysis tool includes using a finite element analysis model, inputting the load stress distribution diagram, processing the dynamic load, and combining construction progress and material parameters to generate a stress analysis diagram of the shallow circular silo. It then analyzes the response of the shallow circular silo under dynamic loads to obtain the unit engineering requirement parameters for the thin shell of the shallow circular silo. The unit load-bearing capacity is established based on the material parameters. ,based on The risk index is obtained by calculating the reliability index, and a spatial risk distribution is generated based on the threshold to obtain the risk assessment result.

6. The construction area safety analysis method based on shallow circular silos as described in claim 5, characterized in that: The safety level assessment model includes, based on stress analysis and the risk assessment results, collecting environmental and dynamic load indices according to the construction progress, calculating the environmental amplification factor, synthesizing reliability indices and safety factors, and then calculating the safety level. The safety level is defined based on reliability index and safety factor. A reliability index > 3 and a safety factor > 1.5 indicate a high safety level; 2 < reliability index ≤ 3 and 1.0 ≤ safety factor ≤ 1.5 indicate a medium safety level; and a reliability index ≤ 2 and a safety factor < 1.0 indicate a low safety level. The formula for the reliability index is as follows: ； in, Indicates reliability index; This represents the average load-bearing capacity of the structure. This represents the average value of the applied load; This represents the variance of the structural bearing capacity; Represents the variance of the applied load; The formula for the safety factor is expressed as follows: ； in, Indicates the safety factor; Represents a time variable; Indicates the model correction coefficient; This indicates a reduction in the resistance to temperature. This indicates a reduction in the resistance to moisture content; Indicates the material's stable load-bearing capacity; Indicates the material coefficient; Indicates the partial factor of the effect; Indicates the environmental amplification factor; This represents the stress obtained from the mechanical model of the shallow circular silo; The environmental magnification factor This includes the weighted synthesis of sub-coefficients for dynamic amplification, temperature, moisture content, wind pulsation, and seismic amplification. The weighted synthesis formula is expressed as follows: ； in, This represents the overall environmental amplification factor; Indicates the power amplification factor; Indicates the temperature coefficient; Indicates the moisture content coefficient; Indicates the wind pulsation coefficient; Indicates the seismic amplification factor; The warning notification includes issuing warnings for risk areas based on the security level assessment results, and the warning types include red warnings, orange warnings, and yellow warnings.

7. The construction area safety analysis method based on shallow circular silos as described in claim 6, characterized in that: The dynamic visualization of the regional risk 3D model includes importing the risk assessment results into the 3D data model of the shallow circular silo, combining AR technology to integrate colors, markings, the safety level and warning prompts with the actual construction environment to present risk information, and intuitively displaying risk changes as real-time stress data is updated. In the three-dimensional risk model of the area, an automated synchronization technology is introduced to automatically synchronize and update the three-dimensional data model, the dynamic stress calculation model, and the real-time monitoring data. The automated synchronization technology uses Internet of Things (IoT) technology to enable real-time synchronization between real-time monitoring data and 3D data models.

8. A construction area safety analysis system based on shallow circular silos, comprising the construction area safety analysis method based on shallow circular silos as described in any one of claims 1 to 7, characterized in that... :include, The model building unit collects data based on the mechanical model of the shallow circular silo structure and uses BIM technology to build a three-dimensional data model of the shallow circular silo. The data acquisition unit, in conjunction with the construction progress and the component stress, equipment layout and material parameters in the three-dimensional data model, establishes a dynamic stress calculation model; The analysis unit uses the dynamic stress calculation model to calculate the stress distribution in different construction areas, inputs the calculation results into the dynamic analysis tool, outputs a stress analysis diagram to obtain risk assessment results, and outputs safety level and early warning prompts through the safety level assessment model. The data visualization unit enables dynamic visualization of the regional risk three-dimensional model based on the risk assessment results, safety level, and early warning prompts.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the construction area safety analysis method based on the construction process of a shallow circular silo as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the construction area safety analysis method based on the construction process of a shallow circular silo as described in any one of claims 1 to 7.

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