A silo cone top construction stability evaluation method and system based on multi-source data fusion

Abstract

The application discloses a kind of silo cone top construction stability evaluation method and system based on multi-source data fusion, the method includes: according to the drawing data of target silo Construction silo three-dimensional model to combine the construction progress data of cone top to carry out environmental stability evaluation on target construction area;According to the stress point and structural deformation area of cone top support body obtained from the three-dimensional model of silo and according to the construction information model of cone top constructed by drawing data and construction progress data to obtain stress distribution information;According to the real-time bearing capacity data of stress point and the displacement data of structural deformation area to obtain bearing capacity displacement correlation data to analyze the structural state trajectory of target silo, and then obtain the dynamic structural behavior of target silo to carry out construction stability evaluation, for accurately carrying out construction stability evaluation and facilitating the monitoring safety effect of steel truss hoisting, installation, use, demolition process, so as to make corresponding adjustment in actual construction, ensure the safety and quality of engineering.

Description

Technical Field

[0001] This invention relates to the field of engineering construction monitoring technology, specifically to a method and system for assessing the stability of silo cone top construction based on multi-source data fusion. Background Technology

[0002] With the continuous expansion and increasing complexity of modern buildings and engineering structures, such as high-rise buildings, large silos, and underground projects, the stability and safety of large-scale engineering structures have received unprecedented attention. Especially in the construction of large silo structures, particularly their critical conical roof structures, ensuring structural stability throughout the entire construction process is crucial. Because construction stability directly affects project safety, quality, and schedule, instability can lead to serious safety accidents and huge economic losses. Therefore, timely and accurate assessment of stability during the construction phase is a vital technical feature for avoiding such potential accidents and losses.

[0003] Currently, stability assessments of conical silos during construction primarily rely on static structural design during the design phase. However, this method, overly dependent on structural parameters determined in the design phase, fails to capture dynamic real-time changes during construction, hindering timely adjustments and resulting in poor monitoring effectiveness, thus affecting the accuracy of the assessment results. Secondly, existing technologies for assessing the construction stability of conical silos often focus solely on the silo itself, neglecting the interaction between the main silo structure and the silo structure during construction. During construction, the silo, as the primary support for the silo, directly impacts its support capacity. However, existing methods often assess the stability of the silo or silo in isolation, or only consider their interaction at the design level, failing to monitor their actual mechanical relationship during construction. This leads to insufficient accuracy and timeliness in construction stability monitoring and assessment methods. Assessment results often lag behind changes in the actual construction state, making it difficult to identify potential structural instability risks promptly and accurately. This fails to provide reliable and dynamic decision-making basis for safety management during construction, posing significant safety hazards to the construction of large silos, especially complex conical silo structures. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention discloses a method and system for assessing the construction stability of silo cone tops based on multi-source data fusion, which is used to dynamically assess construction stability and improve the accuracy of the assessment results.

[0005] To achieve the above objectives, this invention discloses a method for assessing the construction stability of silo cone tops based on multi-source data fusion, comprising: A three-dimensional model of the silo, including the cone-shaped support and the cone, is constructed based on the drawing data corresponding to the target silo. The target construction area of ​​the cone is located based on the construction progress data of the cone and the three-dimensional model of the silo. Obtain the operation information of the construction equipment in the target construction area, and obtain the environmental stability assessment results of the target construction area based on the operation information of the construction equipment; Based on the environmental stability assessment results, finite element analysis was performed on the three-dimensional model of the silo to obtain the stress points and structural deformation areas corresponding to the cone-shaped support. Based on the drawing data and the construction progress data, a construction information model corresponding to the cone apex is constructed, and various loads are applied to the construction information model to obtain the stress distribution information corresponding to the cone apex. The real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation area are obtained, and the real-time bearing capacity data and the displacement data are synchronized and aligned in time to obtain the bearing capacity displacement correlation data corresponding to the cone top support. Based on the construction progress data, the stress distribution information, and the bearing capacity displacement correlation data, a construction state space corresponding to the target silo is constructed, so as to obtain the structural state trajectory of the target silo through the construction state space; The dynamic structural behavior of the target silo is obtained based on the structural state trajectory, the drawing data, and the construction progress data, so as to obtain the construction stability assessment result of the target silo based on the dynamic structural behavior.

[0006] This invention discloses a method for assessing the construction stability of a silo cone top based on multi-source data fusion. It achieves accurate assessment of construction stability by acquiring multi-source data from different locations on the cone top support and dynamically modeling both the silo and the cone top. First, a comprehensive 3D model of the target silo, including the cone top support and the cone top itself, is constructed based on the target silo's drawings. This model, along with the construction progress data of the cone top, dynamically locates the target construction area, enabling precise environmental assessment and improving efficiency. Second, the operational information of the construction equipment in the target construction area is acquired to assess the stability of the construction environment in real time, ensuring that the impact of the construction equipment on the target silo structure is quantified. This, combined with the environmental and structural factors, improves the accuracy of the assessment. Third, finite element analysis is performed based on the environmental stability results to identify key stress points and deformation areas of the cone top support. By correlating the theoretical model with the actual construction conditions, the structural stability of the cone top support itself is monitored in real time, further enhancing the accuracy of the cone top construction stability assessment. Simultaneously, a construction information model of the cone top was constructed and multiple load conditions were applied to simulate stress distribution under different working conditions, overcoming the limitations of static design parameters. Through time-series synchronization and data alignment techniques, real-time bearing capacity and displacement data were dynamically correlated, establishing a mapping relationship between mechanical response and structural deformation. This constructed a construction state space and structural state trajectory, integrating construction progress, stress evolution, and mechanical response into a dynamic system, enabling spatiotemporal extrapolation of structural behavior. Finally, through dynamic structural behavior analysis, the interaction between the silo and the cone top during construction was captured to identify the dynamic structural behavior corresponding to the target silo, thereby improving the accuracy of construction stability assessment based on this dynamic structural behavior.

[0007] As a preferred example, the step of constructing a 3D model of the silo, including the cone-shaped support and the cone-shaped top, based on the drawing data corresponding to the target silo, and locating the target construction area of ​​the cone-shaped top based on the construction progress data of the cone-shaped top and the 3D model of the silo, includes: The drawing data corresponding to the target silo is analyzed to obtain the structural foundation information of the target silo; wherein, the structural foundation information includes the general plan, structural plan, section, foundation drawing and equipment layout drawing; Based on the structural information, construct a 3D model of the target silo in the BIM platform; The construction progress data of the cone top is used to obtain multiple construction procedures of the cone top and the corresponding procedure information for each construction procedure; wherein, the procedure information includes procedure time, procedure spatial location, procedure status and procedure execution equipment; The process information is mapped onto the 3D model of the silo to obtain the target construction area corresponding to the cone top and the spatial location of the area corresponding to the target construction area.

[0008] The above solution improves the accuracy of construction area positioning by extracting multi-dimensional data such as drawing data and construction progress information for data fusion and dynamic modeling. During positioning, comprehensive drawing data, including the general plan and structural plan of the target silo, are acquired to form the corresponding structural foundation information, providing accurate raw data for 3D modeling. Then, a 3D model of the silo is built using a BIM platform, transforming static design parameters into a dynamically adjustable digital model. By extracting the time, spatial location, and equipment association information of construction procedures, the construction progress data is spatiotemporally correlated with the 3D model, dynamically generating the spatial coordinates of the target construction area. This ensures that the positioning of the construction area is not only based on design parameters but also incorporates real-time construction status, improving the accuracy of construction area positioning.

[0009] As a preferred example, obtaining the construction equipment operation information of the target construction area, and then obtaining the environmental stability assessment result of the target construction area based on the construction equipment operation information, includes: Based on the equipment layout diagram, the process information, and the spatial location of the area, the target construction equipment for the target construction area is determined, and the equipment operation information corresponding to the target construction equipment is obtained; wherein, the equipment information includes the weight and tilt angle of the object being lifted by the lifting machinery, and the verticality, horizontality, and settlement height of the work platform used for high-altitude operations; The maximum weight and maximum tilt angle of the lifting machinery are obtained, and the mechanical stability index of the lifting machinery is obtained based on the weight, the tilt angle, the maximum weight and the maximum tilt angle. Obtain the permitted verticality, permitted horizontality, and permitted settlement height of the work platform, and obtain the platform stability index of the work platform based on the first difference between the verticality and the permitted verticality, the second difference between the horizontality and the permitted horizontality, and the third difference between the settlement height and the permitted settlement height. When the mechanical stability index is greater than the preset stability index threshold and the platform stability index is greater than the stability index threshold, the environment of the target construction area is determined to be in a stable state.

[0010] The above scheme establishes a quantitative correlation between the operating status of construction equipment and environmental stability, thereby achieving dynamic stability assessment of the construction environment. During this dynamic assessment, the spatial mapping between the equipment layout diagram of the target silo and the process information at the cone top accurately locates the target construction equipment, avoiding blind equipment monitoring and improving assessment efficiency. Next, the weight and tilt angle of the objects hoisted within the construction equipment are obtained to calculate the mechanical stability index, which assesses the stability of the equipment operation. Simultaneously, the three-dimensional attitude parameters of the work platform used for high-altitude operations are acquired to assess the platform's stability, effectively identifying potential hazards such as platform tilting or settlement. Finally, through a dual stability assessment mechanism involving both equipment and platform, a standard for determining environmental stability is established, thereby improving the comprehensiveness of the target silo construction stability assessment.

[0011] As a preferred example, the step of performing finite element analysis on the three-dimensional model of the silo based on the environmental stability assessment results to obtain the stress points and structural deformation regions corresponding to the cone-shaped support includes: Based on structural mechanics analysis and the three-dimensional model of the silo, the first spatial distribution of the key stress points of the cone-shaped support and the second spatial distribution of the potential structural deformation region are determined. Based on the first spatial distribution and the second spatial distribution, the stress condition of the three-dimensional model of the silo is simulated by finite element analysis to determine the stress spatial coordinates of the stress points and the deformation spatial coordinates of the structural deformation area.

[0012] The above scheme combines structural mechanics theory to dynamically analyze the mechanical state of the cone-top support, enabling real-time monitoring of its structural dynamic changes and improving the accuracy of the assessment. When assessing the stability of the cone-top support, the spatial distribution of key stress points and potential deformation areas is first determined based on structural mechanics analysis and a 3D model. The mutual mechanics between the cone and its support are combined with actual project progress parameters to ensure the timeliness and accuracy of the stress analysis. Next, finite element simulation is used to transform the spatial distribution data into specific stress and deformation spatial coordinates, converting abstract mechanical analysis results into quantifiable engineering parameters. This provides precise spatial positioning data for subsequent sensor deployment and real-time monitoring. Furthermore, the acquisition of spatial coordinates achieves the matching of the construction stability assessment with the actual engineering scenario, improving the accuracy of the construction stability assessment.

[0013] As a preferred example, the step of constructing a construction information model corresponding to the cone apex based on the drawing data and the construction progress data, and applying various loads to the construction information model to obtain stress distribution information corresponding to the cone apex, includes: The current structural design parameters of the cone top are extracted based on the drawing data and the construction progress data; wherein, the current structural design parameters of the cone top include the material elastic modulus of the cone top, multiple geometric structures of the cone top, and the geometric parameters of each of the geometric structures; Based on the current structural setting parameters, the current building structure corresponding to the cone top is simulated in the BIM platform, and the material elastic modulus is mapped to the current building structure to obtain the construction information model corresponding to the cone top; Based on the drawing data, various load conditions are applied to the construction information model, and stress and displacement are decomposed to obtain the stress distribution information corresponding to the cone apex by combining the stress and strain relationship.

[0014] The above-mentioned scheme constructs a real-time updatable stress analysis model for the cone apex by dynamically integrating changes in structural parameters and load conditions during construction. This model enables dynamic and accurate assessment of the cone apex. During the assessment, the model is dynamically updated based on drawings and construction progress data to ensure that model parameters are synchronized with the actual construction status. Next, a construction information model corresponding to the current cone apex is built in the BIM platform. By applying various load conditions and performing stress decomposition, combined with stress-strain relationships, the complex stress states under different stages and working conditions during construction can be simulated. This allows for accurate acquisition of the true stress distribution pattern of the cone apex structure. The dual mechanism of dynamic parameter updates and multi-load coupled analysis improves the accuracy and timeliness of stress analysis of the cone apex during the construction phase, thereby enhancing the accuracy of construction stability assessment.

[0015] As a preferred example, the step of acquiring the real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation region, and performing time-series synchronization and data alignment on the real-time bearing capacity data and the displacement data to obtain the bearing capacity-displacement correlation data corresponding to the cone-shaped support body includes: An initial sensor array is arranged on the cone-shaped support body according to the force spatial coordinates and the deformation spatial coordinates, and the initial position and initial attitude of the sensors in the sensor array are calibrated to obtain a real-time sensor array. The data collected by the sensor array is time-synchronized and aligned by phase-locked loop and timestamp synchronization technology to obtain multiple real-time load capacity data and multiple displacement data. Each of the real-time bearing capacity data and each of the displacement data is mapped to a network node, and a unique identifier is assigned to each network node to establish a mapping relationship between data and network nodes; Calculate the Pearson correlation coefficient and mutual information value between all network node pairs, and record the corresponding connection relationship in the adjacency matrix according to the Pearson correlation coefficient and the mutual information value; Based on the adjacency matrix, the Pearson correlation coefficient, and the mutual information value, a network topology corresponding to the real-time bearing capacity data and the displacement data is constructed to obtain bearing capacity-displacement correlation data; wherein, the weight of the edges in the network topology is set according to the Pearson correlation coefficient or the mutual information value.

[0016] The aforementioned scheme utilizes the correlation between real-time bearing capacity and displacement data for network modeling, enabling precise analysis of the dynamic mechanical state of the cone-shaped support during construction and thus improving the accuracy of the assessment. During the assessment process, a sensor array is deployed based on the force and deformation spatial coordinates. Initial position and attitude calibration ensures the spatial accuracy of data acquisition, enhancing the accuracy and efficiency of the assessment. Secondly, phase-locking and timestamp synchronization techniques are employed to eliminate timing deviations caused by differences in sampling frequencies between multi-source sensors, guaranteeing the real-time correspondence between bearing capacity and displacement data. Furthermore, data is mapped to network nodes with unique identifiers, constructing topological relationships between data. The linear and nonlinear correlation strength between data is quantified using Pearson correlation coefficients and mutual information values, forming weighted connections in the adjacency matrix. Finally, the dynamic coupling mechanism between bearing capacity and displacement is revealed based on the network topology. The edge weights are set according to statistical correlation indicators, objectively reflecting the interaction strength between different data nodes. This provides a highly reliable foundation of correlated data for subsequent structural state deduction, improving the accuracy of construction stability assessment.

[0017] As a preferred example, the step of constructing a construction state space corresponding to the target silo based on the construction progress data, the stress distribution information, and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space, includes: Based on the network topology, extract the displacement multi-dimensional features corresponding to the displacement data and the bearing capacity multi-dimensional features corresponding to the real-time bearing capacity data; Based on the displacement multidimensional characteristics, the bearing capacity multidimensional characteristics, and the construction progress data, the deformation state and bearing capacity state of the target silo structure in different directions and at different times are determined to construct the construction state space corresponding to the target silo. Principal component analysis combined with singular value decomposition is used to compress and optimize the construction state space, and the construction state space is transformed into state equations describing the dynamic behavior of the target silo. The state equations are solved by numerical integration to determine the evolution of the target silo's structural state over time, thereby generating the structural state trajectory of the target silo; wherein the trajectory includes the time-varying information of stress distribution, the time-varying information of bearing capacity, and the time-varying information of displacement.

[0018] The above scheme extracts multi-dimensional features of displacement and bearing capacity data based on network topology. These features capture the complex correlations of structural behavior from the coupling relationships of spatial distribution, time series, and physical quantities, thereby improving the accuracy of stability assessment. Secondly, a construction state space is constructed by combining construction progress data, integrating deformation and bearing capacity states at different times and directions into a unified set of state variables. This reflects the trend of structural deformation of the silo structure as the construction progresses towards the cone top in real time. Finally, principal component analysis and singular value decomposition are used to reduce the dimensionality of the state space, eliminating redundant information and retaining key features, allowing high-dimensional data to be compressed into low-dimensional and analytical state equations. Finally, numerical integration methods are used to solve the state equations, simulating the trajectory of structural state evolution over time. This not only reflects the instantaneous changes in stress, bearing capacity, and displacement but also predicts their future development trends, providing a dynamic and continuous quantitative basis for construction stability assessment and improving the accuracy of the assessment.

[0019] As a preferred example, the step of obtaining the dynamic structural behavior corresponding to the target silo based on the structural state trajectory, the drawing data, and the construction progress data, and obtaining the construction stability assessment result of the target silo based on the dynamic structural behavior, includes: The velocity and acceleration of the structural state trajectory are analyzed based on the drawing data and the construction progress data to identify the trajectory change points of the structural state trajectory; Sensitivity analysis is performed on the trajectory abrupt change points to determine the construction stability assessment result of the target silo based on the sensitivity analysis results of the trajectory abrupt change points.

[0020] The aforementioned scheme employs a joint analysis of the velocity and acceleration of the structural trajectory based on drawing data and construction progress data to dynamically capture abnormal changes in the structural state over time. By identifying trajectory abrupt change points, discontinuous change nodes in the structural response during construction can be precisely located, allowing for timely detection of potential instability risks. Furthermore, sensitivity analysis of these trajectory abrupt change points quantifies the impact of different abrupt changes, preventing misidentification or useless identification from affecting construction, and simultaneously improving the timeliness and accuracy of the assessment results.

[0021] On the other hand, the present invention also discloses a silo cone top construction stability assessment system based on multi-source data fusion, including a construction positioning module, an environmental assessment module, a stress deformation analysis module, a stress distribution analysis module, a data synchronization module, a structural deduction module, and a construction stability assessment module. The construction positioning module is used to construct a three-dimensional model of the silo, including the cone-shaped support and the cone-shaped top, based on the drawing data corresponding to the target silo, so as to locate the target construction area of ​​the cone-shaped top based on the construction progress data of the cone-shaped top and the three-dimensional model of the silo. The environmental assessment module is used to obtain the operation information of the construction equipment in the target construction area, so as to obtain the environmental stability assessment result of the target construction area based on the operation information of the construction equipment. The stress-deformation module is used to perform finite element analysis on the three-dimensional model of the silo based on the environmental stability assessment results to obtain the stress points and structural deformation areas corresponding to the cone-shaped support. The stress distribution analysis module is used to construct a construction information model corresponding to the cone apex based on the drawing data and the construction progress data, and to apply various loads to the construction information model to obtain the stress distribution information corresponding to the cone apex. The data synchronization module is used to acquire the real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation area, and to perform time synchronization and data alignment on the real-time bearing capacity data and the displacement data to obtain the bearing capacity displacement correlation data corresponding to the cone top support. The structural deduction module is used to construct the construction state space corresponding to the target silo based on the construction progress data, the stress distribution information and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space; The construction stability assessment module is used to obtain the dynamic structural behavior corresponding to the target silo based on the structural state trajectory, the drawing data, and the construction progress data, so as to obtain the construction stability assessment result of the target silo based on the dynamic structural behavior.

[0022] This invention discloses a silo cone-top construction stability assessment system based on multi-source data fusion. It achieves accurate construction stability assessment by acquiring multi-source data from different locations on the cone-top support and dynamically modeling both the silo and the cone-top. First, a comprehensive 3D model of the target silo, including the cone-top support and the cone-top itself, is constructed based on the target silo's drawings. This model, along with the construction progress data of the cone-top, dynamically locates the target construction area, enabling precise environmental assessment and improving efficiency. Second, the system acquires operational information of the construction equipment in the target construction area to assess the stability of the construction environment in real time, ensuring the impact of the equipment on the target silo structure is quantified. This, combined with the environmental and structural factors, improves the accuracy of the assessment. Third, finite element analysis is performed based on the environmental stability results to identify key stress points and deformation areas of the cone-top support. By correlating the theoretical model with the actual construction conditions, the system monitors the structural stability of the cone-top support in real time, further enhancing the accuracy of the cone-top construction stability assessment. Simultaneously, a construction information model of the cone top was constructed and multiple load conditions were applied to simulate stress distribution under different working conditions, overcoming the limitations of static design parameters. Through time-series synchronization and data alignment techniques, real-time bearing capacity and displacement data were dynamically correlated, establishing a mapping relationship between mechanical response and structural deformation. This constructed a construction state space and structural state trajectory, integrating construction progress, stress evolution, and mechanical response into a dynamic system, enabling spatiotemporal extrapolation of structural behavior. Finally, through dynamic structural behavior analysis, the interaction between the silo and the cone top during construction was captured to identify the dynamic structural behavior corresponding to the target silo, thereby improving the accuracy of construction stability assessment based on this dynamic structural behavior.

[0023] As a preferred example, the construction positioning module includes a drawing analysis unit, a model building unit, and a spatial positioning unit; The drawing parsing unit is used to parse the drawing data corresponding to the target silo to obtain the structural foundation information of the target silo; wherein, the structural foundation information includes the general plan, structural plan, section, foundation drawing and equipment layout drawing; The model building unit is used to construct a three-dimensional model of the target silo in the BIM platform based on the structural foundation information. The spatial positioning unit is used to obtain multiple construction procedures of the cone top and the procedure information corresponding to each construction procedure from the construction progress data of the cone top; wherein, the procedure information includes procedure time, procedure spatial location, procedure status and procedure execution equipment; the procedure information is mapped onto the silo three-dimensional model to obtain the target construction area corresponding to the cone top and the regional spatial location corresponding to the target construction area.

[0024] The above solution improves the accuracy of construction area positioning by extracting multi-dimensional data such as drawing data and construction progress information for data fusion and dynamic modeling. During positioning, comprehensive drawing data, including the general plan and structural plan of the target silo, are acquired to form the corresponding structural foundation information, providing accurate raw data for 3D modeling. Then, a 3D model of the silo is built using a BIM platform, transforming static design parameters into a dynamically adjustable digital model. By extracting the time, spatial location, and equipment association information of construction procedures, the construction progress data is spatiotemporally correlated with the 3D model, dynamically generating the spatial coordinates of the target construction area. This ensures that the positioning of the construction area is not only based on design parameters but also incorporates real-time construction status, improving the accuracy of construction area positioning. Attached Figure Description

[0025] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating a method for assessing the construction stability of a silo cone top based on multi-source data fusion, as disclosed in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a silo cone top construction stability assessment system based on multi-source data fusion disclosed in an embodiment of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Reference Figure 1 To assess the construction stability of the silo cone top in a timely and accurate manner based on its dynamic construction progress, this embodiment provides a method for assessing the construction stability of the silo cone top based on multi-source data fusion, which mainly includes: Step 101: Construct a 3D model of the silo, including the cone-shaped support and the cone, based on the drawing data corresponding to the target silo, so as to locate the target construction area of ​​the cone based on the construction progress data of the cone and the 3D model of the silo.

[0029] Step 102: Obtain the operation information of the construction equipment in the target construction area, so as to obtain the environmental stability assessment result of the target construction area based on the operation information of the construction equipment.

[0030] Step 103: Based on the environmental stability assessment results, perform finite element analysis on the silo three-dimensional model to obtain the stress points and structural deformation areas corresponding to the cone-shaped support.

[0031] Step 104: Construct a construction information model corresponding to the cone apex based on the drawing data and the construction progress data, and apply various loads to the construction information model to obtain the stress distribution information corresponding to the cone apex.

[0032] Step 105: Obtain the real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation area, and perform time synchronization and data alignment on the real-time bearing capacity data and the displacement data to obtain the bearing capacity displacement correlation data corresponding to the cone top support.

[0033] Step 106: Construct the construction state space corresponding to the target silo based on the construction progress data, the stress distribution information, and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space.

[0034] Step 107: Obtain the dynamic structural behavior corresponding to the target silo based on the structural state trajectory, the drawing data, and the construction progress data, so as to obtain the construction stability assessment result of the target silo based on the dynamic structural behavior.

[0035] In this embodiment, the target silo includes a cone-shaped support structure to prevent the cone top from falling and a cone top for enclosed storage. When constructing the overall 3D model of the target silo, including the cone-shaped support structure and the cone top, a digital model is established by integrating site plans, cross-sectional views, and other drawing data obtained through a BIM platform. Preferably, the BIM platform can be a building information modeling platform such as ProBIM engine, ISBIM engine, or Revit software. The spatial relationship between the cone-shaped support structure and the cone top is visualized through the BIM platform. The environmental stability assessment result refers to analyzing whether the environment of the target construction area is suitable for construction or whether it will affect construction, i.e., determining whether the construction area is in a safe working state. Finite element analysis refers to performing mechanical simulation on the 3D model to identify the mechanical condition data of the 3D model. The construction information model is a dynamic model containing design data such as material elastic modulus and geometric parameters, which can be implemented through parametric modeling to simulate the load distribution at different construction stages. Bearing capacity-displacement correlation data refers to the correlation between bearing capacity data and displacement data after time synchronization, used to establish the mapping relationship between mechanical response and structural deformation. Construction state space refers to a multi-dimensional state matrix integrating construction progress, stress distribution, and mechanical response; specifically, it can be reduced in dimensionality through principal component analysis, used to describe the evolution of the structural state. Dynamic structural behavior refers to trajectory data obtained by solving the state equations through numerical integration, used to capture the critical abrupt change points of structural instability.

[0036] In this first embodiment, the stability of the cone-top construction depends not only on the stability of the cone-top and its supporting structure but is also easily affected by the construction environment. Therefore, before assessing the structural stability of the target silo, it is necessary to first obtain the degree of influence of the external construction environment on the construction stability of the target silo at the current construction progress, in order to improve the comprehensiveness of the construction stability assessment. Specifically, before assessing the construction environment, it is necessary to accurately locate the target construction area for environmental assessment. Therefore, step 101 preferably includes the following steps to accurately locate the target construction area: Step 1011: Analyze the drawing data corresponding to the target silo to obtain the structural foundation information corresponding to the target silo; wherein, the structural foundation information includes the general plan, structural plan, section view, foundation drawing and equipment layout drawing.

[0037] Step 1012: Construct a 3D model of the target silo in the BIM platform based on the structural foundation information.

[0038] Step 1013: Obtain multiple construction procedures of the cone top and the corresponding procedure information for each construction procedure from the construction progress data of the cone top; wherein, the procedure information includes procedure time, procedure spatial location, procedure status and procedure execution equipment.

[0039] Step 1014: Map the process information onto the 3D model of the silo to obtain the target construction area corresponding to the cone top and the spatial location of the area corresponding to the target construction area.

[0040] Specifically, in this embodiment, to improve the accuracy of the 3D model construction, the drawing data corresponding to the target silo is first analyzed to obtain basic structural information such as the silo's geometric and structural parameters obtained by analyzing the general plan, structural plan, section, foundation drawing, and equipment layout drawing. Preferably, during the analysis process, a drawing recognition algorithm can be used to extract coordinate points, dimensions, and component attributes from each drawing, providing multi-dimensional data support for 3D modeling.

[0041] Secondly, based on the BIM platform, the structural foundation information is transformed into a digital twin model including the cone-shaped support and the cone itself, thus obtaining the 3D model of the target silo. This 3D model is then used to achieve parametric modeling and reconstruction of the spatial topological relationships of structural elements. After obtaining the 3D model, since the target silo may have different stability risks at different construction stages at the cone, timely stability assessments of the target silo at different construction stages are necessary. Therefore, construction process information such as the process time, spatial location, status, and executing equipment at the cone can be obtained first. Preferably, this can be achieved by parsing the construction logs of the cone or by collecting information from an IoT device that stores the construction information corresponding to the cone. In one embodiment, when storing the construction progress information, a positioning device can be used to record the spatial coordinates of the current process, and a preset unified timestamp can be used to record the execution time of each process.

[0042] After acquiring the construction progress data and constructing the silo 3D model, in order to identify the spatial location of the construction area corresponding to the cone top under the current progress in real time based on the mapping between the construction progress data and the silo 3D model, that is, to identify the coordinate range of the target construction area in the 3D model, a spatial coordinate system transformation algorithm can be used to align the position data in the process information with the model coordinate system to achieve dynamic mapping. In this first embodiment, the overall layout in the site plan, the beam and column distribution in the structural plan, the vertical structure in the section plan, and the foundation parameters in the foundation plan are first extracted using a drawing parsing algorithm to form a complete structural foundation dataset. This dataset is imported into the BIM platform, and a 3D model including the cone top support steel frame structure, the cone top curved surface shape, and connection nodes is generated using parametric modeling tools. Subsequently, the hoisting, welding, and pouring processes involved in the cone top construction are extracted from the construction progress data, and the execution time window, equipment deployment location, and current completion status of each process are obtained. The spatial coordinate transformation module converts the spatial location of the process into a coordinate system consistent with the 3D model, and the boundary of the work area corresponding to each process is marked on the model surface. As the construction progress is updated, the coordinates of the target construction area in the model are dynamically adjusted according to the latest process information, so as to achieve synchronization between the location of the construction area and the real-time construction status. In this embodiment, the above steps improve the accuracy of construction area positioning by extracting multi-dimensional data such as drawing data and construction progress information for data fusion and dynamic modeling. During the positioning process, by acquiring full-dimensional drawing data such as the general plan and structural plan of the target silo, the structural foundation information corresponding to the target silo is formed to provide accurate raw data for 3D modeling. Then, a 3D model of the silo is constructed using the BIM platform, transforming static design parameters into a dynamically adjustable digital model. By extracting the time, spatial location, and equipment association information of construction procedures, the construction progress data is spatiotemporally correlated with the 3D model, thereby dynamically generating the spatial coordinates of the target construction area. This ensures that the positioning of the construction area is not only based on design parameters but also incorporates real-time construction status, improving the accuracy of construction area positioning.

[0043] In this first embodiment, after accurately locating the target construction area, to avoid the impact of the construction environment on the stability of the cone-shaped silo construction, the construction stability of the construction device within the target construction area can be obtained to determine that the cone-shaped silo is being constructed in a stable environment, thereby improving the accuracy and efficiency of the structural stability assessment of the target silo. To achieve the above objective, step 102 preferably includes the following steps for environmental stability assessment: Step 1021: Determine the target construction equipment for the target construction area based on the equipment layout diagram, the process information, and the spatial location of the area, and obtain the equipment operation information corresponding to the target construction equipment; wherein, the equipment information includes the weight and tilt angle of the object being lifted by the lifting machinery and the verticality, horizontality, and settlement height of the work platform used for high-altitude operations.

[0044] Step 1022: Obtain the maximum weight and maximum tilt angle of the lifting machinery, so as to obtain the mechanical stability index of the lifting machinery based on the weight, the tilt angle, the maximum weight and the maximum tilt angle.

[0045] Step 1023: Obtain the permissible verticality, permissible horizontality, and permissible settlement height of the work platform, and obtain the platform stability index of the work platform based on the first difference between the verticality and the permissible verticality, the second difference between the horizontality and the permissible horizontality, and the third difference between the settlement height and the permissible settlement height.

[0046] Step 1024: When the mechanical stability index is greater than the preset stability index threshold and the platform stability index is greater than the stability index threshold, it is determined that the environment of the target construction area is in a stable state.

[0047] Specifically, in this embodiment, the equipment operation information refers to the dynamic operating parameters generated by the construction device during operation. Specifically, physical devices such as sensors can be used to collect data in real time, such as the weight and tilt angle of the object being hoisted in the lifting device, as well as the verticality, horizontality, and settlement height of the work platform supporting workers to perform high-altitude operations, as the equipment operation information. The real-time operating status of the construction device can be quantitatively reflected based on the equipment operation information.

[0048] To identify potential mechanical stability risks in lifting machinery in real time, the current load status of the lifting machinery, i.e., the weight of the object being lifted and the tilt angle, can be obtained and quantitatively compared with the equipment's rated capacity. Preferably, this can be calculated by weighting the ratio of the actual lifted weight to the maximum weight and the ratio of the tilt angle to the maximum tilt angle, and is used to dynamically monitor the risk of equipment overload or abnormal posture.

[0049] To determine whether the current attitude data of the work platform has deviated significantly and thus poses a stability risk, it is preferable to acquire the verticality difference, horizontality difference, and settlement height difference of the work platform to identify the instability risk caused by platform tilting or settlement. Specifically, the verticality difference is the first difference between the real-time verticality of the work platform and the rated permissible verticality; the horizontality difference is the second difference between the real-time horizontality of the work platform and the rated permissible horizontality; and the settlement height difference is the third difference between the real-time settlement height of the work platform and the rated permissible settlement height.

[0050] After obtaining the mechanical stability index of the lifting machinery and the platform stability index of the working platform, in order to improve the efficiency and accuracy of the evaluation, a critical value for judging environmental stability, namely the stability index threshold, can be preset. Specifically, the stability index threshold can be determined based on historical construction data or engineering specifications, for example, set to a value range between 0.8 and 0.9, to establish a standard for judging the environmental stability state. Then, by comparing the mechanical stability index and the platform stability index with the stability index threshold, the environment of the target construction area is evaluated as being in a stable state based on the comparison results.

[0051] For example, firstly, based on the spatial location matching between the equipment layout diagram and the process information, the specific equipment types and their spatial distribution acting on the target area in the current construction stage are determined. For instance, when the construction progress is in the stage of hoisting the conical top steel structure, the model of the tower crane used in this area and its operating parameters are determined by matching the spatial coordinates in the process information with the equipment layout diagram. Subsequently, the actual weight and tilt angle of the hoisted object are acquired in real time using weight sensors and inclinometers installed at the crane hook, while the maximum hoisting weight and allowable tilt angle specified by the equipment at the factory are retrieved. The actual parameters and rated parameters are normalized, for example, by multiplying the ratio of the actual weight to the maximum weight by a weighting factor of 0.6, and superimposing the ratio of the actual tilt angle to the maximum angle by a weighting factor of 0.4, to obtain a mechanical stability index ranging from 0 to 1. For aerial work platforms, high-precision inclinometers and laser rangefinders arranged at the four corners of the platform are used to measure the verticality, horizontality, and height change relative to the reference point in real time, and the difference between the measured values ​​and the permissible values ​​allowed by the engineering specifications is calculated. For example, when the measured verticality deviation of the platform is 2 degrees and the permissible value is 1 degree, the first difference is 1 degree; when the horizontality deviation is 3 millimeters and the permissible value is 2 millimeters, the second difference is 1 millimeter. After standardizing the differences in each dimension, the comprehensive platform stability index is calculated using the Euclidean distance formula. When both stability indices exceed the preset thresholds, it indicates that the operating status of the construction equipment is within the safe range and the environment is stable.

[0052] In this embodiment, the above steps establish a quantitative correlation between the operating status of the construction equipment and environmental stability, thereby achieving dynamic stability assessment of the construction environment. During the dynamic assessment, the spatial mapping between the equipment layout diagram corresponding to the target silo and the process information at the cone top is used to accurately locate the target construction equipment, avoiding blind equipment monitoring and improving assessment efficiency. Next, the weight and tilt angle of the hoisted object in the construction equipment are obtained to calculate the mechanical stability index, which can assess the stability of the equipment operation. Simultaneously, the three-dimensional attitude parameters of the work platform used for high-altitude operations are obtained to assess the stability of the work platform, effectively capturing potential hazards such as platform tilting or settlement. Finally, through a dual stability assessment mechanism of equipment and platform, a standard for determining the environmental stability state is established, thereby improving the comprehensiveness of the target silo construction stability assessment.

[0053] In this first embodiment, after assessing that the construction environment is in a stable state, the structural stability of the target silo itself is evaluated. In the specific evaluation process, since the cone-shaped support and the cone itself are interacting mechanical structures, to improve the accuracy and efficiency of the stability evaluation of the cone-shaped support, step 103 preferably includes the following steps: selecting the stress points and structural deformation regions, so as to perform accurate dynamic structural behavior analysis based on the data from the stress points and structural deformation regions. Step 1031: Based on structural mechanics analysis and the three-dimensional model of the silo, determine the first spatial distribution of the key stress points of the cone-shaped support and the second spatial distribution of the potential structural deformation region.

[0054] Step 1032: Based on the first spatial distribution and the second spatial distribution, simulate the stress condition of the three-dimensional model of the silo through finite element analysis to determine the stress spatial coordinates of the stress points and the deformation spatial coordinates of the structural deformation area.

[0055] Specifically, in this embodiment, static calculations are first performed on the support body based on the principles of applied materials mechanics and elasticity to achieve structural mechanical analysis of the cone-shaped support body. For example, in this case, an element model combined with nodal force balance equations can be used to identify weak points in the cone-shaped support body. After identifying weak points through structural mechanical analysis, to improve the accuracy and efficiency of screening stress points and structural deformation regions, a numerical calculation method that discretizes a continuous structure into a finite number of elements is then used—that is, finite element analysis—to obtain the stress space coordinates corresponding to the actual stress points and the deformation space coordinates of the actual structural deformation regions. For example, in this case, shell element mesh generation technology in finite element analysis software is used to accurately calculate the stress distribution under complex boundary conditions. Then, coordinate parameters representing the precise location of the stress points in three-dimensional space are obtained through coordinate mapping technology between the BIM model and the finite element mesh, i.e., the stress space coordinates of the stress points are obtained. Then, the strain energy density threshold method combined with mesh nodal displacement data is used to identify potential instability regions, and the geometric positioning parameters of the structural deformation regions in the three-dimensional model are determined through the coordinate mapping technology between the BIM model and the finite element mesh, i.e., the deformation space coordinates are obtained.

[0056] For example, after establishing the 3D model of the silo, a unit network is established based on the geometric topology of the cone-shaped support. The theoretical stress distribution at each connection point is calculated using the nodal force balance equation, forming a preliminary spatial distribution of key stress points. Further, considering the actual construction load distribution characteristics of the silo, a refined model including material properties and boundary constraints is established in the finite element software. Stress cloud diagrams of the cone-shaped support under construction loads are obtained through iterative calculations. Key stress points are identified based on stress concentration areas, and potential deformation areas are determined based on areas where the displacement of mesh nodes exceeds a preset threshold. Finally, the finite element calculation results are matched and mapped with the spatial coordinate system of the BIM model, outputting the stress point locations and deformation area boundary coordinates in an engineering coordinate system.

[0057] In this embodiment, the above steps combine structural mechanics theory to dynamically analyze the mechanical state of the cone-top support, thereby monitoring the dynamic changes of the cone-top support structure in real time and improving the accuracy of the assessment. When assessing the stability of the cone-top support, the spatial distribution of key stress points and potential deformation areas is first determined based on structural mechanics analysis and a three-dimensional model. The mutual mechanics between the cone top and the cone-top support are combined with the actual progress parameters of the project to ensure the timeliness and accuracy of the stress analysis. Next, finite element simulation is used to transform the spatial distribution data into specific stress and deformation spatial coordinates, converting the abstract mechanical analysis results into quantifiable and locatable engineering parameters. This provides precise spatial positioning basis for subsequent sensor deployment and real-time monitoring. Furthermore, the acquisition of spatial coordinates achieves the matching of the construction stability assessment with the actual engineering scenario, improving the accuracy of the construction stability assessment.

[0058] In this first embodiment, while identifying the stress points and deformation areas of the cone-shaped support, to improve the accuracy of the assessment of the construction stability of the target silo by combining the structural stability of the cone itself, the stress distribution of the cone can also be determined in real time based on the construction progress information of the cone, so as to identify whether there is any risk of instability in the cone itself during construction. Therefore, step 104 preferably involves the following steps to obtain stress distribution information to ensure the accuracy of the stress distribution information: Step 1041: Extract the current structural design parameters of the cone top based on the drawing data and the construction progress data; wherein, the current structural design parameters of the cone top include the material elastic modulus of the cone top, multiple geometric structures of the cone top, and the geometric parameters of each of the geometric structures.

[0059] Step 1042: Simulate the current building structure corresponding to the cone top in the BIM platform according to the current structural setting parameters, and map the material elastic modulus to the current building structure to obtain the construction information model corresponding to the cone top.

[0060] Step 1043: Apply various load conditions to the construction information model according to the drawing data, and decompose the stress and displacement to obtain the stress distribution information corresponding to the cone top by combining the stress and strain relationship.

[0061] Specifically, in this embodiment, parameters are first updated by parsing the process time nodes and process status information in the construction progress data to obtain the dynamically changing parameters of the cone top structure during construction, i.e., the current structural design parameters of the cone top, thus reflecting the real-time changes in the material's elastic modulus and geometric structure during the construction phase. Next, the dynamic structural parameters are coupled with the three-dimensional spatial model using a BIM platform to construct a construction information model of the cone top under the current construction progress. To simulate the complex stress environment that the cone top may encounter during construction, various load conditions, such as static loads, dynamic loads, and temporary load combinations, that may exist during construction can be identified through the target drawings or by combining experience. These load conditions are then applied using the load application module in the finite element analysis software. Based on the applied load and the finite element analysis software, stress and displacement are decomposed, and the stress and strain relationship is combined to obtain the stress distribution information corresponding to the cone top.

[0062] For example, when the construction progress reaches a specific stage, the geometry of the cone top may change due to the addition of supporting components or the pouring of materials. At this time, the construction information model corresponding to the cone top is updated according to the construction progress data. Then, the construction information model constructed through the BIM platform binds material properties with the three-dimensional geometric structure, forming a digital twin model with real-time mechanical properties. Load conditions are generated by superimposing the design loads in the construction drawings and the temporary loads recorded in the construction log, such as the combined effect of dynamic loads generated by hoisting equipment and wind loads. Stress and displacement decomposition is achieved through finite element mesh generation and nodal force calculation, and the load action is transformed into stress distribution data of each region of the cone top by combining the material constitutive relationship.

[0063] In this embodiment, the above steps construct a real-time updatable stress analysis model for the cone apex by dynamically integrating the structural parameter changes and load conditions during construction. This model enables dynamic and accurate evaluation of the cone apex. During the evaluation process, the model is dynamically updated based on drawings and construction progress data to ensure that the model parameters are synchronized with the actual construction status. Next, a construction information model corresponding to the current cone apex is constructed in the BIM platform. By applying various load conditions and performing stress decomposition, combined with stress-strain relationships, the complex stress states under different stages and working conditions during construction can be simulated. This allows for accurate acquisition of the true stress distribution pattern of the cone apex structure. The dual mechanism of dynamic parameter updates and multi-load coupled analysis improves the accuracy and timeliness of stress analysis of the cone apex during the construction phase, thereby enhancing the accuracy of construction stability assessment.

[0064] In this first embodiment, to dynamically capture the complex structural changes of the cone-top support as the construction progresses, the acquired displacement and bearing capacity data are synchronized. The bearing capacity and displacement data are then correlated based on the synchronized data to comprehensively reflect the dynamic structural behavior data of the target silo, thereby improving the accuracy of stability assessment. Therefore, step 105 preferably involves the following steps for accurate acquisition of the bearing capacity-displacement correlation data: Step 1051: Arrange an initial sensor array on the cone top support according to the force spatial coordinates and the deformation spatial coordinates, and calibrate the initial position and initial attitude of the sensors in the sensor array to obtain a real-time sensor array.

[0065] Step 1052: The data collected by the sensor array is synchronized and aligned in time using phase-locked loop and timestamp synchronization technology to obtain multiple real-time load-bearing capacity data and multiple displacement data.

[0066] Step 1053: Map each of the real-time bearing capacity data and each of the displacement data to a network node, and assign a unique identifier to each network node to establish a mapping relationship between the data and the network node. Step 1054: Calculate the Pearson correlation coefficient and mutual information value between all network node pairs, and record the corresponding connection relationships in the adjacency matrix according to the Pearson correlation coefficient and the mutual information value. Step 1055: Construct a network topology structure corresponding to the real-time bearing capacity data and the displacement data based on the adjacency matrix, the Pearson correlation coefficient, and the mutual information value to obtain bearing capacity displacement correlation data; wherein, the weight of the edges in the network topology structure is set according to the Pearson correlation coefficient or the mutual information value.

[0067] Specifically, in this embodiment, multiple sensors are first deployed according to the spatial coordinates of the stress point and the deformation region to form an initial sensor array. Further, since the stress point requires the acquisition of load-bearing capacity data, while the deformation region requires the acquisition of displacement data of the cone-shaped support, a combination of strain sensors and displacement sensors is preferably used to form the sensor array. After deploying the sensor array, installation errors can be eliminated by calibrating the sensor positions and attitudes, ensuring spatial consistency of data acquisition. Then, phase locking and timestamp synchronization technologies are used to eliminate timing deviations in multi-sensor data acquisition, enabling correlation analysis between displacement data and load-bearing capacity data. Specifically, a combination of a hardware clock synchronization module and a software timestamp alignment algorithm can be used to achieve real-time correspondence between different sensor data.

[0068] Next, the collected displacement or bearing capacity data can be transformed into topological elements with unique identifiers using hash encoding or database indexing to achieve network node mapping, thereby providing a structured foundation for data association. To further explore the relationship between displacement and bearing capacity data, the Pearson correlation coefficient, used to measure the linear correlation between the data, can be obtained by calculating covariance and standard deviation. This quantifies the linear correlation strength between bearing capacity and displacement. Furthermore, mutual information values, used to measure nonlinear dependencies between the data, can be obtained by probability density estimation and entropy calculation to capture nonlinear dynamic coupling relationships. After identifying the linear correlation strength and the nonlinear dynamic coupling relationship, an adjacency matrix is ​​obtained using a two-dimensional array or sparse matrix to record the network node connection relationships, reflecting the association between bearing capacity and displacement data. To ensure the accuracy of the adjacency matrix, edge weights are set based on the correlation coefficient or mutual information value to reflect the strength of interaction between the data.

[0069] In this embodiment, the above steps acquire the correlation between real-time bearing capacity data and displacement data for network modeling, thereby enabling precise analysis of the mechanical dynamic state of the cone-shaped support during construction and improving the accuracy of the assessment. During the assessment, a sensor array is arranged according to the force spatial coordinates and deformation spatial coordinates. Initial position and attitude calibration ensures the spatial accuracy of data acquisition, improving the accuracy and efficiency of the assessment. Secondly, phase-locking and timestamp synchronization technologies are used to eliminate timing deviations caused by differences in sampling frequencies between multi-source sensors, ensuring the real-time correspondence between bearing capacity and displacement data. Furthermore, the data is mapped to network nodes with unique identifiers, constructing topological relationships between data. The linear and nonlinear correlation strength between data is quantified using Pearson correlation coefficients and mutual information values, forming weighted connections in the adjacency matrix. Finally, the dynamic coupling mechanism between bearing capacity and displacement is revealed based on the network topology. The edge weights are set according to statistical correlation indicators, objectively reflecting the interaction strength between different data nodes, providing a highly reliable correlation data foundation for subsequent structural state deduction, thereby improving the accuracy of construction stability assessment.

[0070] In this first embodiment, after mining the bearing capacity displacement correlation data reflecting the interaction force between the cone apex and the cone apex support, and the stress distribution data reflecting the structural stability of the cone apex itself, in order to dynamically evaluate the construction stability of the cone apex in a timely manner, step 106 preferably involves the following steps to construct the structural state trajectory of the target silo: Step 1061: Extract the displacement multi-dimensional features corresponding to the displacement data and the bearing capacity multi-dimensional features corresponding to the real-time bearing capacity data based on the network topology.

[0071] Step 1062: Based on the displacement multi-dimensional characteristics, the bearing capacity multi-dimensional characteristics, and the construction progress data, determine the deformation state and bearing capacity state of the target silo structure in different directions and at different times, so as to construct the construction state space corresponding to the target silo.

[0072] Step 1063: Use principal component analysis combined with singular value decomposition to compress and optimize the construction state space, and transform the construction state space into state equations describing the dynamic behavior of the target silo.

[0073] Step 1064: Solve the state equation using a numerical integration method to determine the evolution of the target silo's structural state in the time dimension, thereby generating the structural state trajectory of the target silo; wherein the trajectory includes the time variation of stress distribution information, the time variation of bearing capacity, and the time variation of displacement.

[0074] Specifically, in this embodiment, an adjacency matrix from graph theory can be used to obtain a network of correlations between real-time bearing capacity data and displacement data established through Pearson correlation coefficients and mutual information values, which is used to capture the dynamic correlations between the data. Next, time-frequency analysis combined with spatial interpolation methods is used to extract multi-dimensional displacement features from the displacement data, including spatial distribution, time series, and physical quantity coupling relationships, to characterize the complex patterns of structural deformation. Simultaneously, multi-scale decomposition combined with statistical analysis methods is used to extract multi-dimensional bearing capacity features from the real-time bearing capacity data, including load distribution, temporal variation, and spatial correlation, to reflect the dynamic characteristics of the support's bearing state. Then, principal component analysis combined with singular value decomposition refers to dimensionality reduction of the high-dimensional state space using linear algebra methods, specifically achieved through covariance matrix eigenvalue decomposition, to eliminate data redundancy and retain key dynamic features. Numerical integration methods refer to solving the time evolution process of differential equations, specifically using the Runge-Kutta method or the Euler method, to simulate the continuous changes in the structural state with the construction progress.

[0075] For example, by analyzing the correlation between displacement and bearing capacity data in the network topology, feature parameters are extracted from both the temporal and spatial dimensions to construct a multi-dimensional state space that includes the construction progress timeline, the spatial distribution of structural deformation, and changes in bearing capacity. Furthermore, matrix factorization is used to orthogonalize the high-dimensional state space, eliminating linear correlations between features and projecting the original state variables onto a low-dimensional principal component space to form an analytical state equation. Based on differential equation theory, the coupled evolution of structural stress, displacement, and bearing capacity during construction is simulated by iteratively calculating the rate of change of state variables over time, generating a three-dimensional state trajectory that includes timestamps, spatial coordinates, and changes in physical quantities. This trajectory can simultaneously reflect the transient characteristics and cumulative effects of the structural response at different construction stages.

[0076] In this embodiment, the above steps extract multi-dimensional features of displacement and bearing capacity data based on the network topology. These multi-dimensional features capture the complex correlations of structural behavior from the coupling relationships of spatial distribution, time series, and physical quantities, thereby improving the accuracy of stability assessment. Secondly, a construction state space is constructed by combining construction progress data, integrating deformation and bearing capacity states at different times and in different directions into a unified set of state variables. This reflects the trend of structural deformation of the silo structure as the construction progress of the cone top proceeds in real time. Finally, principal component analysis and singular value decomposition are used to reduce the dimensionality of the state space, eliminating redundant information and retaining key features, allowing high-dimensional data to be compressed into low-dimensional and analytical state equations. Finally, the state equations are solved using numerical integration methods to simulate the trajectory of structural state evolution over time. This not only reflects the instantaneous changes in stress, bearing capacity, and displacement but also predicts their future development trends, thus providing a dynamic and continuous quantitative basis for construction stability assessment and improving the accuracy of the assessment.

[0077] In this first embodiment, after obtaining the structural state trajectory reflecting the structural state changes of the target silo, in order to evaluate the construction stability of the target silo in a timely and accurate manner based on the structural state trajectory, step 107 preferably involves the following steps to obtain the construction stability evaluation result of the target silo: Step 1071: Analyze the velocity and acceleration of the structural state trajectory based on the drawing data and the construction progress data to identify the trajectory change points of the structural state trajectory.

[0078] Step 1072: Perform sensitivity analysis on the trajectory mutation points to determine the construction stability assessment result of the target silo based on the sensitivity analysis results of the trajectory mutation points.

[0079] Specifically, in this embodiment, the rate of change and acceleration of the structural state in the time dimension obtained after solving the state equation using numerical integration are the velocity and acceleration of the structural state trajectory. This can be achieved using difference calculation combined with sliding window mean filtering to capture the dynamic evolution characteristics of the structural response during construction. Trajectory abrupt change points refer to the moments or locations in the structural state trajectory where velocity or acceleration undergoes discontinuous jumps. This can be achieved using threshold detection combined with wavelet transform singularity identification algorithms to locate abnormal changes in the structural mechanical behavior during construction. Sensitivity analysis is a quantitative method for evaluating the impact of trajectory abrupt change points on structural stability using perturbation input parameters. This can be achieved using Monte Carlo simulation combined with local derivative calculations to determine the contribution weight of different abrupt change points to overall stability.

[0080] For example, in the time-space coordinate system of construction progress data and drawing data, the structural state trajectory is converted into a time series containing multi-dimensional parameters such as stress, displacement, and bearing capacity. The velocity field is obtained by calculating the rate of change of parameters between adjacent time points, and the acceleration field is calculated using quadratic difference. When a sudden change signal exceeding a preset threshold appears in the acceleration field, the corresponding trajectory change point is located by combining the spatial location information of the construction process. For each change point, small perturbation parameters are introduced into the finite element model, and the magnitude of change in the structural response is observed to establish a change point sensitivity matrix. Based on the influence weight ranking of each change point in the sensitivity matrix, key change points that significantly affect stability are selected as the evaluation criteria.

[0081] In this embodiment, the above steps jointly analyze the velocity and acceleration of the structural trajectory based on drawing data and construction progress data to dynamically capture abnormal changes in the structural state over time. By identifying trajectory abrupt change points, discontinuous change nodes in the structural response during construction can be accurately located, and potential instability risk triggering moments can be captured in a timely manner. Furthermore, sensitivity analysis of trajectory abrupt change points can quantify the impact of different abrupt change points, avoiding the impact on construction due to incorrect or useless identification, and simultaneously improving the timeliness and accuracy of the evaluation results.

[0082] On the other hand, refer to Figure 2 This embodiment also discloses a silo cone top construction stability assessment system based on multi-source data fusion, including a construction positioning module 201, an environmental assessment module 202, a stress deformation analysis module 203, a stress distribution analysis module 204, a data synchronization module 205, a structural deduction module 206, and a construction stability assessment module 207.

[0083] The construction positioning module 201 is used to construct a three-dimensional model of the silo, including the cone top support and the cone top, based on the drawing data corresponding to the target silo, so as to locate the target construction area of ​​the cone top according to the construction progress data of the cone top and the three-dimensional model of the silo.

[0084] The environmental assessment module 202 is used to obtain the operation information of the construction equipment in the target construction area, so as to obtain the environmental stability assessment result of the target construction area based on the operation information of the construction equipment.

[0085] The stress deformation module 203 is used to perform finite element analysis on the three-dimensional model of the silo based on the environmental stability assessment results to obtain the stress points and structural deformation areas corresponding to the cone-shaped support.

[0086] The stress distribution analysis module 204 is used to construct a construction information model corresponding to the cone top based on the drawing data and the construction progress data, and to apply various loads to the construction information model to obtain the stress distribution information corresponding to the cone top.

[0087] The data synchronization module 205 is used to acquire the real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation area, and to perform time synchronization and data alignment on the real-time bearing capacity data and the displacement data to obtain the bearing capacity displacement correlation data corresponding to the cone top support.

[0088] The structural deduction module 206 is used to construct the construction state space corresponding to the target silo based on the construction progress data, the stress distribution information and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space.

[0089] The construction stability assessment module 207 is used to obtain the dynamic structural behavior corresponding to the target silo based on the structural state trajectory, the drawing data and the construction progress data, so as to obtain the construction stability assessment result of the target silo based on the dynamic structural behavior.

[0090] In this embodiment, the construction positioning module 201 includes a drawing analysis unit, a model building unit, and a spatial positioning unit.

[0091] The drawing parsing unit is used to parse the drawing data corresponding to the target silo to obtain the structural foundation information of the target silo; wherein, the structural foundation information includes the general plan, structural plan, section, foundation and equipment layout.

[0092] The model building unit is used to construct a 3D model of the target silo in the BIM platform based on the structural foundation information.

[0093] The spatial positioning unit is used to obtain multiple construction procedures of the cone top and the procedure information corresponding to each construction procedure from the construction progress data of the cone top; wherein, the procedure information includes procedure time, procedure spatial location, procedure status and procedure execution equipment; the procedure information is mapped onto the silo three-dimensional model to obtain the target construction area corresponding to the cone top and the regional spatial location corresponding to the target construction area.

[0094] This embodiment discloses a method and system for assessing the construction stability of a silo cone top based on multi-source data fusion. It achieves accurate assessment of construction stability by acquiring multi-source data from different locations on the cone top support and dynamically modeling the silo and cone top separately. First, a comprehensive 3D model of the target silo, including the cone top support and the cone top itself, is constructed based on the target silo's drawings. This model, along with the construction progress data of the cone top, dynamically locates the target construction area, enabling precise environmental assessment and improving efficiency. Second, the operational information of the construction equipment in the target construction area is acquired to assess the stability of the construction environment in real time, ensuring that the impact of the construction equipment on the target silo structure is quantified. This, combined with the environmental and structural factors, improves the accuracy of the assessment. Third, finite element analysis is performed based on the environmental stability results to identify key stress points and deformation areas of the cone top support. By correlating the theoretical model with the actual construction state, the structural stability of the cone top support is monitored in real time, further enhancing the accuracy of the cone top construction stability assessment. Simultaneously, a construction information model of the cone top was constructed and multiple load conditions were applied to simulate stress distribution under different working conditions, overcoming the limitations of static design parameters. Through time-series synchronization and data alignment techniques, real-time bearing capacity and displacement data were dynamically correlated, establishing a mapping relationship between mechanical response and structural deformation. This constructed a construction state space and structural state trajectory, integrating construction progress, stress evolution, and mechanical response into a dynamic system, enabling spatiotemporal extrapolation of structural behavior. Finally, through dynamic structural behavior analysis, the interaction between the silo and the cone top during construction was captured to identify the dynamic structural behavior corresponding to the target silo, thereby improving the accuracy of construction stability assessment based on this dynamic structural behavior.

[0095] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for assessing the construction stability of a silo cone top based on multi-source data fusion, characterized in that, include: A three-dimensional model of the silo, including the cone-shaped support and the cone, is constructed based on the drawing data corresponding to the target silo. The target construction area of ​​the cone is located based on the construction progress data of the cone and the three-dimensional model of the silo. Obtain the operation information of the construction equipment in the target construction area, and obtain the environmental stability assessment results of the target construction area based on the operation information of the construction equipment; Based on the environmental stability assessment results, finite element analysis was performed on the three-dimensional model of the silo to obtain the stress points and structural deformation areas corresponding to the cone-shaped support. Based on the drawing data and the construction progress data, a construction information model corresponding to the cone apex is constructed, and various loads are applied to the construction information model to obtain the stress distribution information corresponding to the cone apex. The real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation area are obtained, and the real-time bearing capacity data and the displacement data are synchronized and aligned in time to obtain the bearing capacity displacement correlation data corresponding to the cone top support. Based on the construction progress data, the stress distribution information, and the bearing capacity displacement correlation data, a construction state space corresponding to the target silo is constructed, so as to obtain the structural state trajectory of the target silo through the construction state space; The dynamic structural behavior of the target silo is obtained based on the structural state trajectory, the drawing data, and the construction progress data, so as to obtain the construction stability assessment result of the target silo based on the dynamic structural behavior. The step of constructing a 3D model of the silo, including the cone-shaped support structure and the cone-shaped top, based on the drawing data corresponding to the target silo, and locating the target construction area of ​​the cone-shaped top based on the construction progress data of the cone-shaped top and the 3D model of the silo, includes: The drawing data corresponding to the target silo is analyzed to obtain the structural foundation information of the target silo; wherein, the structural foundation information includes the general plan, structural plan, section, foundation drawing and equipment layout drawing; Based on the structural information, construct a 3D model of the target silo in the BIM platform; The construction progress data of the cone top is used to obtain multiple construction procedures of the cone top and the corresponding procedure information for each construction procedure; wherein, the procedure information includes procedure time, procedure spatial location, procedure status and procedure execution equipment; The process information is mapped onto the 3D model of the silo to obtain the target construction area corresponding to the cone top and the spatial location of the area corresponding to the target construction area. The step of obtaining the operation information of the construction equipment in the target construction area, and obtaining the environmental stability assessment result of the target construction area based on the operation information of the construction equipment, includes: Based on the equipment layout diagram, the process information, and the spatial location of the area, the target construction equipment for the target construction area is determined, and the equipment operation information corresponding to the target construction equipment is obtained; wherein, the equipment operation information includes the weight and tilt angle of the object being lifted by the lifting machinery, and the verticality, horizontality, and settlement height of the work platform used for high-altitude operations; The maximum weight and maximum tilt angle of the lifting machinery are obtained, and the mechanical stability index of the lifting machinery is obtained based on the weight, the tilt angle, the maximum weight and the maximum tilt angle. Obtain the permitted verticality, permitted horizontality, and permitted settlement height of the work platform, and obtain the platform stability index of the work platform based on the first difference between the verticality and the permitted verticality, the second difference between the horizontality and the permitted horizontality, and the third difference between the settlement height and the permitted settlement height. When the mechanical stability index is greater than the preset stability index threshold and the platform stability index is greater than the stability index threshold, the environment of the target construction area is determined to be in a stable state. The construction information model corresponding to the cone apex is constructed based on the drawing data and the construction progress data. Various loads are applied to the construction information model to obtain the stress distribution information corresponding to the cone apex, including: The current structural design parameters of the cone top are extracted based on the drawing data and the construction progress data; wherein, the current structural design parameters of the cone top include the material elastic modulus of the cone top, multiple geometric structures of the cone top, and the geometric parameters of each of the geometric structures; Based on the current structural setting parameters, the current building structure corresponding to the cone top is simulated in the BIM platform, and the material elastic modulus is mapped to the current building structure to obtain the construction information model corresponding to the cone top; The step of performing finite element analysis on the silo's three-dimensional model based on the environmental stability assessment results to obtain the stress points and structural deformation regions corresponding to the cone-shaped support includes: Based on structural mechanics analysis and the three-dimensional model of the silo, the first spatial distribution of the key stress points of the cone-shaped support and the second spatial distribution of the potential structural deformation region are determined. Based on the first spatial distribution and the second spatial distribution, the stress condition of the three-dimensional model of the silo is simulated by finite element analysis to determine the stress spatial coordinates of the stress points and the deformation spatial coordinates of the structural deformation area. The process of acquiring real-time bearing capacity data corresponding to the stress point and displacement data corresponding to the structural deformation region, and synchronizing and aligning the real-time bearing capacity data and displacement data to obtain bearing capacity-displacement correlation data corresponding to the cone-shaped support body includes: An initial sensor array is arranged on the cone-shaped support body according to the force spatial coordinates and the deformation spatial coordinates, and the initial position and initial attitude of the sensors in the sensor array are calibrated to obtain a real-time sensor array. By using phase locking and timestamp synchronization technology, the data collected by the sensor array is time-synchronized and aligned to obtain multiple real-time load-bearing capacity data and multiple displacement data. Each of the real-time bearing capacity data and each of the displacement data is mapped to a network node, and a unique identifier is assigned to each network node to establish a mapping relationship between data and network nodes; Calculate the Pearson correlation coefficient and mutual information value between all network node pairs, and record the corresponding connection relationship in the adjacency matrix according to the Pearson correlation coefficient and the mutual information value; Based on the adjacency matrix, the Pearson correlation coefficient, and the mutual information value, a network topology corresponding to the real-time bearing capacity data and the displacement data is constructed to obtain bearing capacity-displacement correlation data; wherein, the weight of the edges in the network topology is set according to the Pearson correlation coefficient or the mutual information value; Based on the drawing data, various load conditions are applied to the construction information model, and stress and displacement are decomposed to obtain the stress distribution information corresponding to the cone apex by combining the stress and strain relationship. The step of constructing a construction state space corresponding to the target silo based on the construction progress data, the stress distribution information, and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space, includes: Based on the network topology, extract the displacement multi-dimensional features corresponding to the displacement data and the bearing capacity multi-dimensional features corresponding to the real-time bearing capacity data; Based on the displacement multidimensional characteristics, the bearing capacity multidimensional characteristics, and the construction progress data, the deformation state and bearing capacity state of the target silo structure in different directions and at different times are determined to construct the construction state space corresponding to the target silo. Principal component analysis combined with singular value decomposition is used to compress and optimize the construction state space, and the construction state space is transformed into state equations describing the dynamic behavior of the target silo. The state equations are solved by numerical integration to determine the evolution of the target silo's structural state over time, thereby generating the structural state trajectory of the target silo; wherein the trajectory includes the time-varying information of stress distribution, the time-varying information of bearing capacity, and the time-varying information of displacement.

2. The method for assessing the construction stability of a silo cone top based on multi-source data fusion according to claim 1, characterized in that, The step of obtaining the dynamic structural behavior corresponding to the target silo based on the structural state trajectory, the drawing data, and the construction progress data, and obtaining the construction stability assessment result of the target silo based on the dynamic structural behavior, includes: The velocity and acceleration of the structural state trajectory are analyzed based on the drawing data and the construction progress data to identify the trajectory change points of the structural state trajectory; Sensitivity analysis is performed on the trajectory abrupt change points to determine the construction stability assessment result of the target silo based on the sensitivity analysis results of the trajectory abrupt change points.

3. A system for assessing the stability of silo cone-top construction based on multi-source data fusion, characterized in that, It includes a construction positioning module, an environmental assessment module, a stress deformation analysis module, a stress distribution analysis module, a data synchronization module, a structural deduction module, and a construction stability assessment module; The construction positioning module is used to construct a three-dimensional model of the silo, including the cone-shaped support and the cone-shaped top, based on the drawing data corresponding to the target silo, so as to locate the target construction area of ​​the cone-shaped top based on the construction progress data of the cone-shaped top and the three-dimensional model of the silo. The environmental assessment module is used to obtain the operation information of the construction equipment in the target construction area, so as to obtain the environmental stability assessment result of the target construction area based on the operation information of the construction equipment. The stress-deformation module is used to perform finite element analysis on the three-dimensional model of the silo based on the environmental stability assessment results to obtain the stress points and structural deformation areas corresponding to the cone-shaped support. The stress distribution analysis module is used to construct a construction information model corresponding to the cone apex based on the drawing data and the construction progress data, and to apply various loads to the construction information model to obtain the stress distribution information corresponding to the cone apex. The data synchronization module is used to acquire the real-time bearing capacity data corresponding to the stress point and the displacement data corresponding to the structural deformation area, and to perform time synchronization and data alignment on the real-time bearing capacity data and the displacement data to obtain the bearing capacity displacement correlation data corresponding to the cone top support. The structural deduction module is used to construct the construction state space corresponding to the target silo based on the construction progress data, the stress distribution information and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space; The construction stability assessment module is used to obtain the dynamic structural behavior corresponding to the target silo based on the structural state trajectory, the drawing data and the construction progress data, so as to obtain the construction stability assessment result of the target silo based on the dynamic structural behavior. The construction positioning module includes a drawing analysis unit, a model building unit, and a spatial positioning unit. The drawing parsing unit is used to parse the drawing data corresponding to the target silo to obtain the structural foundation information of the target silo; wherein, the structural foundation information includes the general plan, structural plan, section, foundation drawing and equipment layout drawing; The model building unit is used to construct a three-dimensional model of the target silo in the BIM platform based on the structural foundation information. The spatial positioning unit is used to obtain multiple construction procedures of the cone top and the procedure information corresponding to each construction procedure from the construction progress data of the cone top; wherein, the procedure information includes procedure time, procedure spatial location, procedure status and procedure execution equipment; the procedure information is mapped onto the silo three-dimensional model to obtain the target construction area corresponding to the cone top and the regional spatial location corresponding to the target construction area; The step of obtaining the operation information of the construction equipment in the target construction area, and obtaining the environmental stability assessment result of the target construction area based on the operation information of the construction equipment, includes: Based on the equipment layout diagram, the process information, and the spatial location of the area, the target construction equipment for the target construction area is determined, and the equipment operation information corresponding to the target construction equipment is obtained; wherein, the equipment operation information includes the weight and tilt angle of the object being lifted by the lifting machinery, and the verticality, horizontality, and settlement height of the work platform used for high-altitude operations; The maximum weight and maximum tilt angle of the lifting machinery are obtained, and the mechanical stability index of the lifting machinery is obtained based on the weight, the tilt angle, the maximum weight and the maximum tilt angle. Obtain the permitted verticality, permitted horizontality, and permitted settlement height of the work platform, and obtain the platform stability index of the work platform based on the first difference between the verticality and the permitted verticality, the second difference between the horizontality and the permitted horizontality, and the third difference between the settlement height and the permitted settlement height. When the mechanical stability index is greater than the preset stability index threshold and the platform stability index is greater than the stability index threshold, the environment of the target construction area is determined to be in a stable state. The construction information model corresponding to the cone apex is constructed based on the drawing data and the construction progress data. Various loads are applied to the construction information model to obtain the stress distribution information corresponding to the cone apex, including: The current structural design parameters of the cone top are extracted based on the drawing data and the construction progress data; wherein, the current structural design parameters of the cone top include the material elastic modulus of the cone top, multiple geometric structures of the cone top, and the geometric parameters of each of the geometric structures; Based on the current structural setting parameters, the current building structure corresponding to the cone top is simulated in the BIM platform, and the material elastic modulus is mapped to the current building structure to obtain the construction information model corresponding to the cone top; Based on the drawing data, various load conditions are applied to the construction information model, and stress and displacement are decomposed to obtain the stress distribution information corresponding to the cone apex by combining the stress and strain relationship. The step of performing finite element analysis on the silo's three-dimensional model based on the environmental stability assessment results to obtain the stress points and structural deformation regions corresponding to the cone-shaped support includes: Based on structural mechanics analysis and the three-dimensional model of the silo, the first spatial distribution of the key stress points of the cone-shaped support and the second spatial distribution of the potential structural deformation region are determined. Based on the first spatial distribution and the second spatial distribution, the stress condition of the three-dimensional model of the silo is simulated by finite element analysis to determine the stress spatial coordinates of the stress points and the deformation spatial coordinates of the structural deformation area. The process of acquiring real-time bearing capacity data corresponding to the stress point and displacement data corresponding to the structural deformation region, and synchronizing and aligning the real-time bearing capacity data and displacement data to obtain bearing capacity-displacement correlation data corresponding to the cone-shaped support body includes: An initial sensor array is arranged on the cone-shaped support body according to the force spatial coordinates and the deformation spatial coordinates, and the initial position and initial attitude of the sensors in the sensor array are calibrated to obtain a real-time sensor array. By using phase locking and timestamp synchronization technology, the data collected by the sensor array is time-synchronized and aligned to obtain multiple real-time load-bearing capacity data and multiple displacement data. Each of the real-time bearing capacity data and each of the displacement data is mapped to a network node, and a unique identifier is assigned to each network node to establish a mapping relationship between data and network nodes; Calculate the Pearson correlation coefficient and mutual information value between all network node pairs, and record the corresponding connection relationship in the adjacency matrix according to the Pearson correlation coefficient and the mutual information value; Based on the adjacency matrix, the Pearson correlation coefficient, and the mutual information value, a network topology corresponding to the real-time bearing capacity data and the displacement data is constructed to obtain bearing capacity-displacement correlation data; wherein, the weight of the edges in the network topology is set according to the Pearson correlation coefficient or the mutual information value; The step of constructing a construction state space corresponding to the target silo based on the construction progress data, the stress distribution information, and the bearing capacity displacement correlation data, so as to obtain the structural state trajectory of the target silo through the construction state space, includes: Based on the network topology, extract the displacement multi-dimensional features corresponding to the displacement data and the bearing capacity multi-dimensional features corresponding to the real-time bearing capacity data; Based on the displacement multidimensional characteristics, the bearing capacity multidimensional characteristics, and the construction progress data, the deformation state and bearing capacity state of the target silo structure in different directions and at different times are determined to construct the construction state space corresponding to the target silo. Principal component analysis combined with singular value decomposition is used to compress and optimize the construction state space, and the construction state space is transformed into state equations describing the dynamic behavior of the target silo. The state equations are solved by numerical integration to determine the evolution of the target silo's structural state over time, thereby generating the structural state trajectory of the target silo; wherein the trajectory includes the time-varying information of stress distribution, the time-varying information of bearing capacity, and the time-varying information of displacement.

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