BIM-based coupling multi-factor engineering risk early warning method, device and equipment, medium and program product

Abstract

The invention discloses a BIM-based coupled multi-factor engineering risk early warning method, device and equipment, a medium and a program product, and the method comprises the steps: carrying out the risk assessment of a plurality of early warning elements of an underground cavity, obtaining a parent early warning quantity value, building a parent BIM risk model, carrying out the BIM attribute overlay analysis of a plurality of parent BIM risk models, building a child BIM risk model, and carrying out the early warning of the underground cavity. Coupling the attribute values in the sub-BIM risk models to generate a comprehensive risk value, performing risk early warning on the underground cavern based on the comprehensive risk value, monitoring early warning element information, and performing risk assessment on each early warning element again if the early warning element information changes or monitoring is overtime, thereby realizing dynamic risk early warning on the underground cavern. Under the condition that global information and local information are not lost, coupling of multi-dimensional early warning elements is achieved, linkage processing of model space and model attributes is achieved, and the accuracy and timeliness of underground cavern risk early warning are greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of underground cavern risk warning, and in particular to a BIM-based coupled multi-factor engineering risk warning method, device, equipment, medium and program product. Background Art

[0002] With the development of the energy industry and urban construction, the construction of underground caverns is crucial for water conservancy and hydropower, railways and highways, energy mining, and municipal engineering. However, the engineering environment of underground caverns is complex, with numerous risk factors that hinder project progress. To address the impact of various risk factors on construction, coupled multi-factor engineering risk warning, a cutting-edge interdisciplinary technology that has emerged in recent years, has made significant contributions to the field of engineering management and control.

[0003] Currently, coupled multi-factor engineering risk early warning systems within the scope of engineering risk assessment primarily rely on data-driven mechanisms. However, this data-driven mechanism has significant limitations, namely, a serious lack of consideration of spatial information. During the risk assessment process, it is difficult to accurately locate the risk level of specific spatial locations within a project using spatial information such as spatial coordinates and topological relationships. This is particularly true in the context of large, complex underground cavern projects, which are often characterized by their large scale, complex structure, and variable construction environments. Due to the lack of strong spatial information support, the coupled multi-factor process suffers from information coupling impairment, resulting in the loss of key information and local details. The coupled results are also limited, leading to a high degree of generalization in risk assessments. The assessment results only address the macro level of overall project risk and cannot be refined to specific spatial locations. This makes it difficult to accurately locate risk in the context of refined engineering management and control, significantly restricting the relevance and effectiveness of risk management strategies. Therefore, the current engineering risk warning cannot effectively cope with the complex and dynamically changing engineering environment of underground caverns. There is a problem of loss of key information and local details in the multi-factor warning information coupling stage, and it is impossible to dynamically update the warning information, resulting in low accuracy and poor timeliness of underground cavern risk warnings. Summary of the Invention

[0004] The main purpose of the present invention is to provide a BIM-based coupled multi-factor engineering risk warning method, device, equipment, medium and program product, aiming to solve the technical problems that the existing technology cannot effectively cope with the complex and dynamically changing engineering environment of underground caverns, there is a problem of loss of key information and local details in the multi-factor warning information coupling stage, and it is impossible to dynamically update the warning information, resulting in low accuracy and poor timeliness of underground cavern risk warnings.

[0005] To achieve the above objectives, the present invention provides a BIM-based coupled multi-factor engineering risk early warning method, which is applied to engineering risk early warning of underground caverns and includes the following steps: Conduct risk assessment on multiple warning factors of underground caverns and obtain the parent warning value corresponding to each warning factor; Constructing a parent BIM risk model corresponding to each parent warning value, wherein the attribute value of the parent BIM risk model is configured based on the parent warning value; Performing BIM attribute superposition analysis on the plurality of parent BIM risk models to construct a child BIM risk model, wherein the child BIM risk model includes a plurality of sub-warning values, each sub-warning value being obtained by superimposing the parent warning values ​​of the parent BIM risk model with the same spatial coordinates, and the attribute value of the child BIM risk model being configured based on the sub-warning value; Performing coupling processing on the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value; Performing risk warning on the underground cavern based on the comprehensive risk value, and monitoring warning element information of each warning element; In response to changes in warning element information or the current monitoring time exceeding a preset time threshold, return to the step of performing risk assessment on multiple warning elements of the underground cavern and obtain the parent warning value corresponding to each warning element to perform dynamic risk warning on the underground cavern.

[0006] Optionally, performing risk assessment on multiple warning factors of the underground cavern to obtain a parent warning value corresponding to each warning factor includes: Determine the number of early warning elements for underground caverns; Normalizing the warning element information of the multiple warning elements of the underground cavern to obtain a normalized processing result; Performing risk assessment on the multiple warning factors based on the normalization processing result and the preset risk classification level to obtain a single factor risk value of each warning factor; Calculate the parent warning value corresponding to each warning factor based on the single factor risk value: ; in, Indicates warning elements The parent warning value of represents the single factor risk value, Indicates the number of warning factors.

[0007] Optionally, normalizing the warning factor information of the multiple warning factors of the underground cavern to obtain a normalized processing result includes: Classifying the risk characteristics of the early warning factor information of the multiple early warning factors of the underground cavern to determine direct quantitative factors and indirect quantitative factors; Performing feature quantization analysis on the directly quantified elements to obtain a first feature quantization result; constructing a discrete point set based on the spatial coordinates of the indirect quantization elements; Constructing Thiessen polygons corresponding to each indirect quantization element based on the discrete point set; Performing feature quantification analysis on the indirect quantification factor based on the spatial distribution characteristics of the Thiessen polygon to obtain a second feature quantification result; Normalization is performed on the first feature quantization result and the second feature quantization result to obtain a normalized result.

[0008] Optionally, constructing a parent BIM risk model corresponding to each parent warning value includes: Determine the warning space range of underground caverns and the spatial coordinates of each warning element; Determine the model element boundary of each warning element based on the parent warning value corresponding to each warning element; A parent BIM risk model corresponding to each parent warning value is constructed based on the model element boundary, the warning space range and the spatial coordinates.

[0009] Optionally, coupling the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value includes: Perform dimensionality reduction processing on each attribute value in the sub-BIM risk model, and couple the attribute values ​​after dimensionality reduction to obtain a comprehensive risk value, referring to the following formula: ; in, represents the comprehensive risk value, Indicates the sub-warning value.

[0010] Optionally, the performing risk warning on the underground cavern based on the comprehensive risk value includes: Determine the comprehensive risk warning wavelength based on the comprehensive risk value: ; in, Indicates the comprehensive risk warning wavelength, represents the rounding function, Indicates the maximum value of the comprehensive risk value; Determine the single factor risk warning wavelength based on the single factor risk value of each warning factor: ; in, Indicates warning elements The single factor risk warning wavelength, Indicates the preset risk classification level; A risk warning is performed on the underground cavern based on the comprehensive risk warning wavelength and the single-element risk warning wavelength of each warning element.

[0011] In addition, to achieve the above-mentioned purpose, the present invention also proposes a BIM-based coupled multi-factor engineering risk early warning device, which is applied to engineering risk early warning of underground caverns. The BIM-based coupled multi-factor engineering risk early warning device includes: The early warning factor risk assessment module is used to conduct risk assessment on multiple early warning factors of underground caverns and obtain the parent early warning value corresponding to each early warning factor; A parent BIM model construction module is used to construct a parent BIM risk model corresponding to each parent warning value, wherein the attribute value of the parent BIM risk model is configured based on the parent warning value; A sub-BIM model construction module is used to perform BIM attribute superposition analysis on the multiple parent BIM risk models to construct a sub-BIM risk model, wherein the sub-BIM risk model includes multiple sub-warning values, each sub-warning value is obtained by superimposing the parent warning values ​​of the parent BIM risk model with the same spatial coordinates, and the attribute value of the sub-BIM risk model is configured based on the sub-warning value; An early warning element coupling module is used to couple the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value; An engineering risk warning module, configured to provide risk warning for the underground cavern based on the comprehensive risk value and monitor warning element information of each warning element; The dynamic warning response module is used to respond to changes in warning factor information or the current monitoring time exceeds a preset time threshold, return to execute the step of performing risk assessment on multiple warning factors of the underground cavern, and obtain the parent warning value corresponding to each warning factor, so as to perform dynamic risk warning on the underground cavern.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes a BIM-based coupled multi-factor engineering risk warning device, which includes: a memory, a processor, and a computer program stored on the memory and runnable on the processor, and the computer program is configured to implement the steps of the BIM-based coupled multi-factor engineering risk warning method as described above.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the BIM-based coupled multi-factor engineering risk warning method as described above are implemented.

[0014] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the BIM-based coupled multi-factor engineering risk warning method as described above.

[0015] The present invention performs risk assessment on multiple warning elements of underground caverns, obtains parent warning values ​​corresponding to each warning element, constructs parent BIM risk models corresponding to each parent warning value, configures attribute values ​​of the parent BIM risk model based on the parent warning value, performs BIM attribute superposition analysis on multiple parent BIM risk models, constructs a child BIM risk model, the child BIM risk model includes multiple child warning values, each child warning value is obtained by superposition of the parent warning values ​​of the parent BIM risk model with the same spatial coordinates, configures attribute values ​​of the child BIM risk model based on the child warning value, couples the attribute values ​​in the child BIM risk model to obtain a comprehensive risk value, performs risk warning on the underground cavern based on the comprehensive risk value, monitors the warning element information of each warning element, and returns a warning in response to changes in warning element information or the current monitoring time exceeds a preset time threshold. Execute the steps of performing risk assessment on multiple warning factors of underground caverns and obtaining parent warning values ​​corresponding to each warning factor to perform dynamic risk warning on the underground caverns; since the present invention constructs corresponding parent BIM models for risk warning factors of different dimensions in the underground cavern environment, performs BIM attribute superposition analysis on multiple parent BIM risk models, and converts multiple BIM models into a single child BIM risk model that couples multiple warning factors, realizes the unified expression of multi-factor risk information, and at the same time realizes the coupling of various model attributes in the conversion process, realizes the linkage processing of model space and model attributes without losing global information and local information, and by monitoring the warning factor information, re-performs risk assessment on the warning factors of the underground cavern when the warning factor information changes or the monitoring times out, realizes dynamic risk warning of the underground cavern, and greatly improves the accuracy and timeliness of the underground cavern risk warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] Figure 1 It is a structural diagram of a BIM-based coupled multi-factor engineering risk early warning device in the hardware operating environment involved in an embodiment of the present invention; Figure 2 This is a flow chart of an embodiment of a coupled multi-factor engineering risk early warning method based on BIM of the present invention; Figure 3 A schematic diagram of a grid model for a single factor risk value in one embodiment; Figure 4 A schematic diagram of a grid model of a parent warning value in one embodiment; Figure 5 Schematic diagram of a two-dimensional model of a parent BIM risk model in one embodiment; Figure 6 Schematic diagram of a two-dimensional model of a sub-BIM risk model in one embodiment; Figure 7 A schematic diagram of a grid model of comprehensive risk warning values ​​in one embodiment; Figure 8 A schematic diagram of color wavelengths for comprehensive prediction and warning in one embodiment; Figure 9 Schematic diagram of warning color wavelengths for single-factor risk in one embodiment; Figure 10 This is a structural block diagram of an embodiment of a BIM-based coupled multi-factor engineering risk early warning device of the present invention.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0020] Reference Figure 1 , Figure 1 This is a structural diagram of a BIM-based coupled multi-factor engineering risk warning device in the hardware operating environment involved in an embodiment of the present invention.

[0021] like Figure 1As shown, the BIM-based coupled multi-factor engineering risk early warning device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display and an input unit, such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. Optionally, the memory 1005 may be a storage device independent of the processor 1001.

[0022] Those skilled in the art will understand that Figure 1 The structure shown in does not constitute a limitation on the BIM-based coupled multi-factor engineering risk early warning device, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0023] like Figure 1 As shown, the memory 1005 as a computer-readable storage medium may include an operating system, a network communication module, a user interface module, and a BIM-based coupled multi-factor engineering risk early warning program.

[0024] exist Figure 1 In the BIM-based coupled multi-factor engineering risk warning device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the BIM-based coupled multi-factor engineering risk warning device of the present invention can be set in the BIM-based coupled multi-factor engineering risk warning device, and the BIM-based coupled multi-factor engineering risk warning device calls the BIM-based coupled multi-factor engineering risk warning program stored in the memory 1005 through the processor 1001, and executes the BIM-based coupled multi-factor engineering risk warning method provided by the embodiment of the present invention.

[0025] The embodiment of the present invention provides a coupled multi-factor engineering risk early warning method based on BIM, referring to Figure 2 , Figure 2This is a flow chart of an embodiment of a coupled multi-factor engineering risk early warning method based on BIM of the present invention.

[0026] In this embodiment, the method is applied to engineering risk early warning of underground caverns. The BIM-based coupled multi-factor engineering risk early warning method includes the following steps: Step S10: Perform risk assessment on multiple warning elements of the underground cavern to obtain the parent warning value corresponding to each warning element.

[0027] It should be noted that this embodiment is applied to engineering risk warning of underground caverns. By determining the warning factors, then non-dimensionalizing the information of different warning factors, and then constructing corresponding multiple parent BIM risk models based on the spatial distribution of the dimensionless values ​​of each warning factor, after performing BIM attribute superposition analysis on all parent BIM risk models, a child BIM risk model is obtained, and finally the dimensionality reduction processing is performed on the risk attribute values ​​of the child BIM risk model. This embodiment realizes the unified expression of multi-factor risk information, converts multiple BIM models into a single BIM model, and realizes the coupling of various model attributes during the conversion process. Ultimately, it achieves the linkage processing of model space and model attributes without losing information, thereby improving the accuracy of underground cavern engineering risk warning and ensuring that global and local risk information in the underground cavern is not missed.

[0028] It should be understood that the execution entity of this embodiment may be a computing service device with data processing, network communication, and program execution capabilities, such as a tablet computer, personal computer, mobile phone, etc., or a terminal electronic device capable of performing the aforementioned functions. This embodiment and the following embodiments will be described below using a BIM-based coupled multi-factor engineering risk early warning device (hereinafter referred to as the early warning device) as an example.

[0029] It should be noted that the early warning factors can be factors or elements that have risk impacts in underground cavern projects. For example, the early warning factors may include: surrounding rock classification, structural surface level, predicted deformation distribution, predicted anchor stress distribution, actual support strength, anchor construction lag time, cumulative air-facing deformation, deformation rate, anchor stress change rate, groundwater activity status, etc.

[0030] In specific implementation, the early warning equipment can conduct risk warning analysis on underground caverns, extract multiple early warning factors that affect underground cavern projects, conduct risk assessments on multiple early warning factors according to different risk severities, and then non-dimensionalize the risk assessment results to obtain the parent warning value corresponding to each warning factor.

[0031] Furthermore, in order to accurately assess the risk of each warning factor and quantify the parent warning value of each warning factor, the above step S10 may include: Step S101: Determine the number of warning elements of the underground cavern; Step S102: normalizing the warning element information of the multiple warning elements of the underground cavern to obtain a normalized processing result; Step S103: performing risk assessment on the plurality of warning factors based on the normalization processing result and the preset risk classification level to obtain a single factor risk value of each warning factor; Step S104: Calculate the parent warning value corresponding to each warning factor based on the single factor risk value: ; in, Indicates warning elements The parent warning value of represents the single factor risk value, Indicates the number of warning factors.

[0032] It should be noted that the following multi-factor early warning process includes 10 early warning factors (n=10) and is divided into 5 levels (m=5) according to the severity of the risk as shown below: The 10 early warning factors are surrounding rock classification, structural surface level, predicted deformation distribution, predicted anchor stress distribution, actual support strength, anchor cable construction lag time, cumulative airborne deformation, deformation rate, anchor stress change rate, and groundwater activity. The risk characteristics corresponding to each factor, ranging from level 1 to level 5 (Mi = 1 to 5, Xi = 1 to 16), are as follows: Surrounding rock classification (X1): I, II, III, IV, V; Structural surface level (X2): Ⅰ, Ⅱ, Ⅲ, Ⅳ, Ⅴ; Predicted deformation distribution (X3): 0~±5mm, ±5mm~±20mm, ±20mm~±50mm, ±50mm~±100mm, ±100mm~; Predicted anchor stress distribution (X4): 0~±5MPa, ±5MPa~±30MPa, ±30MPa~±80NMPa, ±80MPa~±200MPa, ±200MPa~; Actual support strength (X5): initial shotcrete, mesh shotcrete, anchor rods, anchor cables, and steel arch frames; Anchor cable construction lag time (X6): 0 day, 1 day, 2 days, 3 days, more than 4 days; Cumulative air-facing deformation (X7): 0~5mm, 5mm~20mm, 20mm~50mm, 50mm~100mm, 100mm~; Deformation rate (X8): ~±0.2mm / d, ±0.2~±0.5mm / d, ±0.5~±1mm / d, ±1~±5mm / d, ±5mm / d~; Anchor stress change rate (X9): 0~0.2MPa / d, 0.2MPa~1MPa, 1MPa~5MPa, 5MPa~25MPa, 25MPa~; Groundwater activity status (X10): dry or wet cave walls, water seepage or dripping along structural surfaces, severe dripping, large amounts of dripping or linear flow or spraying along weak structural surfaces, severe dripping, small amounts of gushing along weak structural surfaces, severe stream-like flow, and large amounts of gushing along weak zones such as faults.

[0033] Furthermore, in order to ensure that heterogeneous early warning factors of different dimensions can be accurately quantified, the above step S102 may include: Step S1021: classifying the warning factor information of the multiple warning factors of the underground cavern according to risk characteristics, and determining direct quantification factors and indirect quantification factors; Step S1022: performing feature quantization analysis on the directly quantized elements to obtain a first feature quantization result; Step S1023: constructing a discrete point set based on the spatial coordinates of the indirect quantization elements; Step S1024: constructing Thiessen polygons corresponding to each indirect quantization element based on the discrete point set; Step S1025: performing feature quantification analysis on the indirect quantification element based on the spatial distribution characteristics of the Thiessen polygon to obtain a second feature quantification result; Step S1026: performing normalization processing on the first feature quantization result and the second feature quantization result to obtain a normalization processing result.

[0034] It should be noted that directly quantified factors are warning factors that can be directly measured or calculated, and their data have clear physical units and continuity. Indirectly quantified factors are warning factors that require spatial analysis or expert experience to derive, and their data are usually discrete and rely on subjective judgment.

[0035] It can be understood that this embodiment can classify the characteristics of the warning factors, classify the warning factors that can be directly quantified as direct quantification factors (such as groundwater level, surrounding rock stress, etc.), and classify the warning factors that cannot be directly quantified as indirect quantification factors (such as groundwater activity status, actual support strength, etc.).

[0036] It should be understood that the early warning equipment extracts the spatial coordinates of indirect quantitative elements through geological exploration maps, three-dimensional laser scanning or BIM models, and converts the spatial distribution of indirect quantitative elements into discrete point sets, providing a data basis for subsequent Thiessen polygon analysis.

[0037] Step S20: Construct a parent BIM risk model corresponding to each parent warning value.

[0038] It should be noted that the attribute value of the parent BIM risk model is configured based on the parent warning value.

[0039] In some embodiments, the early warning device may add attribute parameters, such as spatial coordinates, risk type, parent early warning value, etc., to each model element in the parent BIM risk model.

[0040] In some embodiments, the warning device may determine the model element boundary based on the element type, impact range and parent warning value of the warning element, and construct a parent BIM risk model based on the model element boundary.

[0041] It should be noted that the surrounding rock classification, structural surface level, and predicted deformation distribution are themselves represented by three-dimensional entities and can be directly used as the parent BIM risk model. Other warning factors that cannot be directly represented by three-dimensional entities can be represented in the form of faces or discrete points in some embodiments. For example, three-dimensional entity can be achieved by using Thiessen polygons and other means to ensure that all risk factors can be expressed in the parent BIM risk model.

[0042] Furthermore, in order to introduce the spatial dimension, highly correspond the risk factors and the BIM model, and ensure that the early warning factor information of different dimensions can be preserved intact, the above step S20 may include: Step S201: Determine the warning space range of the underground cavern and the spatial coordinates of each warning element; Step S202: determining the model element boundary of each warning element based on the parent warning value corresponding to each warning element; Step S203: constructing a parent BIM risk model corresponding to each parent warning value based on the model element boundary, the warning space range and the spatial coordinates.

[0043] It is understandable that the actual data processing process is for the three-dimensional model and its attributes. To simplify the description, this embodiment uses a 10×10 two-dimensional matrix to represent the warning space range of each parent model, such as the single factor risk values ​​M1 and M8 of the surrounding rock classification and deformation rate. Figure 3 As shown, Figure 3 Schematic diagram of a grid model of a single factor risk value in one embodiment. Figure 3 The two-dimensional matrix diagram of the middle grid model is used to simulate the grid model of the digital model of the parent BIM risk model, where M1 represents the single-element risk value of the surrounding rock classification warning element, M8 represents the single-element risk value of the deformation rate warning element, the horizontal and vertical axes are coordinate positions, and each cell represents a grid.

[0044] For example, the parent BIM risk model of the surrounding rock classification warning element M1 and the deformation rate warning element M8 is coupled and analyzed according to the formula Calculate the parent warning values ​​X1 and X8 corresponding to the surrounding rock classification and predicted deformation distribution, such as Figure 4 As shown, Figure 4 : is a schematic diagram of a grid model of a parent warning value in an embodiment, wherein X1 is the parent warning value of the surrounding rock classification warning element, X8 is the parent warning value corresponding to the predicted deformation distribution warning element, Figure 4 The area with the same warning value of adjacent cells in the is equivalent to an element in the BIM model, that is, the boundary determined by the parent warning value, and the parent BIM risk model is constructed accordingly. Figure 5 As shown, Figure 5 : is a two-dimensional model diagram of the parent BIM risk model in one embodiment, wherein B1 represents the parent BIM risk model of the surrounding rock classification warning element, B8 represents the parent BIM risk model of the predicted deformation warning element, Figure 5 The two-dimensional matrix in corresponds to raster data. When the BIM model uses vector data, the model entity can be directly formed according to the boundaries determined by the same parent warning value.

[0045] Perform BIM attribute superposition analysis on parent BIM risk models B1 and B8 to obtain a child BIM risk model Y. Figure 6 , Figure 6 This is a two-dimensional model diagram of a child BIM risk model generated by performing attribute superposition analysis on the parent BIM risk model in one embodiment, where each child warning value Y inherits the parent warning value of the same location and warning element. As a principle, each sub-warning value Y is stored in the attribute of the corresponding element in the sub-BIM risk model.

[0046] Step S30: performing BIM attribute superposition analysis on the plurality of parent BIM risk models to construct a child BIM risk model.

[0047] It should be noted that the sub-BIM risk model includes multiple sub-warning values, each of which is obtained by superimposing the parent warning value of the parent BIM risk model with the same spatial coordinates, and the attribute value of the sub-BIM risk model is configured based on the sub-warning value.

[0048] In the specific implementation, BIM attribute superposition analysis is performed on all n parent BIM risk models to obtain a child BIM risk model. According to the principle that each child warning value inherits the parent warning value of the same part and warning element, each child warning value Y is stored in the corresponding attribute of the child BIM risk model.

[0049] Step S40: performing coupling processing on the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value.

[0050] In some embodiments, the early warning device may reduce the dimension of each attribute value in the sub-BIM risk model, and then couple the reduced attribute values ​​to obtain a comprehensive risk value coupled with multiple early warning elements.

[0051] It can be understood that this embodiment reduces the dimensions of multiple BIM models corresponding to multiple risk dimensions to a single BIM model, and retains the risk information of the original multiple BIM models without loss by expanding the BIM model attributes, ensuring that no omissions occur in the risk assessment process.

[0052] Furthermore, in order to achieve lossless coupling of the attribute information of each parent BIM risk model, the above step S40 may include: Step S401: performing dimensionality reduction processing on each attribute value in the sub-BIM risk model, and performing coupling processing on the attribute values ​​after dimensionality reduction to obtain a comprehensive risk value.

[0053] It should be noted that all n attribute values ​​in each element of the sub-BIM risk model are coupled according to the following formula: ; in, represents the comprehensive risk value, Indicates the sub-warning value.

[0054] In the specific implementation, for all the attributes of each element in the sub-BIM risk model, according to the formula Perform dimensionality reduction and single value processing to obtain the multi-factor comprehensive risk warning value , refer to Figure 7 , Figure 7 Schematic diagram of a grid model of comprehensive risk warning values ​​in one embodiment.

[0055] In some embodiments, the early warning device can perform attention analysis based on each pair of attribute values ​​to obtain an attention score for each attribute value, assign an attention weight to each attribute value based on the attention score, and couple the reduced attribute values ​​based on the attention weight to obtain a comprehensive risk value.

[0056] Step S50: performing risk warning for the underground cavern based on the comprehensive risk value, and monitoring warning element information of each warning element.

[0057] In specific implementation, the early warning device can determine the risk color wavelength based on the comprehensive risk value, and render it based on the risk color wavelength sub-BIM risk model, so as to realize the visualization of the underground cavern engineering risk and achieve risk early warning.

[0058] Furthermore, in order to improve the accuracy of risk warning and present risk information more intuitively, the above step S50 may include: Step S501: determining a comprehensive risk warning wavelength based on the comprehensive risk value; Step S502: determining a single-factor risk warning wavelength based on the single-factor risk value of each warning factor; Step S503: Perform risk warning for the underground cavern based on the comprehensive risk warning wavelength and the single-element risk warning wavelength of each warning element.

[0059] It should be noted that, referring to Figure 8 , Figure 8 This is a schematic diagram of the color wavelength of the comprehensive predicted warning in one embodiment. The comprehensive predicted warning color wavelength is calculated with reference to the following formula: ; in, Indicates the comprehensive risk warning wavelength, represents the rounding function, Indicates the maximum value of the comprehensive risk value.

[0060] Reference Figure 9 , Figure 9 is the warning color wavelength of a single factor risk in one embodiment, wherein, Schematic diagram of color wavelengths representing surrounding rock classification warning elements, Schematic diagram of the color wavelengths representing the deformation rate warning elements. The single-element risk warning color wavelength of each warning element is calculated according to the following formula: ; in, Indicates warning elements The single factor risk warning wavelength, Indicates the preset risk classification level.

[0061] It can be understood that the early warning equipment performs model color rendering based on the comprehensive risk warning wavelength and the single-element risk warning wavelength of each warning element, thereby realizing visual risk warning.

[0062] Step S60: In response to changes in the warning element information or the current monitoring time exceeding the preset time threshold, return to execute the step of performing risk assessment on multiple warning elements of the underground cavern, and obtain the parent warning value corresponding to each warning element to perform dynamic risk warning on the underground cavern.

[0063] In some embodiments, the early warning device may perform dynamic risk warning based on the following steps: Step 1: Determine the number of warning elements and the warning spatial scope; Step 2: Based on the number of warning factors and the warning spatial range, each warning factor is divided into m levels of single factor risk value according to the severity of risk ; Step 3: Press the formula The parent warning value will be calculated ; Step 4: According to the parent warning value Determine the boundary and build the parent BIM risk model accordingly. The model attribute value is the corresponding parent warning value. ; Step 5: Perform BIM attribute superposition analysis on all n parent BIM risk models to obtain a child BIM risk model. Inherited from the parent warning value of the same location and warning element As a principle, each sub-warning value Stored in the corresponding attributes of the sub-BIM risk model; Step 6: For all n attribute values ​​of each element in the sub-BIM risk model, use the formula Perform dimensionality reduction and single value processing to obtain the multi-factor integrated risk value F; Step 7: Based on single factor risk value and comprehensive risk value Conduct risk warning.

[0064] Step 8: If the warning information changes or a certain time is reached, return to step 3.

[0065] It can be understood that this embodiment can well coordinate the magnitudes of single-factor risk values ​​and comprehensive risk values ​​through the conversion process from single-factor risk value, parent warning value, child warning value to comprehensive risk value. The risk level will not change due to the number of risks. The integer part of the risk level before and after processing remains unchanged, and the decimal part reflects the severity of the risk within this level, which is convenient for analysts to evaluate.

[0066] This embodiment performs risk assessment on multiple warning elements of underground caverns to obtain parent warning values ​​corresponding to each warning element, constructs a parent BIM risk model corresponding to each parent warning value, configures the attribute value of the parent BIM risk model based on the parent warning value, performs BIM attribute superposition analysis on multiple parent BIM risk models, constructs a child BIM risk model, the child BIM risk model includes multiple child warning values, each child warning value is obtained by superimposing the parent warning value of the parent BIM risk model with the same spatial coordinates, configures the attribute value of the child BIM risk model based on the child warning value, couples the attribute values ​​in the child BIM risk model to obtain a comprehensive risk value, performs risk warning on the underground cavern based on the comprehensive risk value, monitors the warning element information of each warning element, and returns in response to changes in warning element information or the current monitoring time exceeds a preset time threshold. Execute the steps of performing risk assessment on multiple warning factors of underground caverns and obtaining the parent warning value corresponding to each warning factor to perform dynamic risk warning on the underground caverns; since this embodiment constructs corresponding parent BIM models for risk warning factors of different dimensions in the underground cavern environment, performs BIM attribute superposition analysis on multiple parent BIM risk models, and converts multiple BIM models into a single child BIM risk model that couples multiple warning factors, realizes the unified expression of multi-factor risk information, and at the same time realizes the coupling of various model attributes in the conversion process, realizes the linkage processing of model space and model attributes without losing global information and local information, and by monitoring the warning factor information, re-performs risk assessment on the warning factors of the underground cavern when the warning factor information changes or the monitoring times out, realizes dynamic risk warning of the underground cavern, and greatly improves the accuracy and timeliness of the underground cavern risk warning.

[0067] In addition, an embodiment of the present invention also proposes a computer-readable storage medium, on which a BIM-based coupled multi-factor engineering risk warning program is stored. When the BIM-based coupled multi-factor engineering risk warning program is executed by a processor, the steps of the BIM-based coupled multi-factor engineering risk warning method described above are implemented.

[0068] The computer-readable storage medium provided herein may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems, or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including, but not limited to, wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0069] The above-mentioned computer-readable storage medium may be included in the BIM-based coupled multi-factor engineering risk warning device; or it may exist independently without being assembled into the BIM-based coupled multi-factor engineering risk warning device.

[0070] In addition, an embodiment of the present invention also proposes a computer program product, including a BIM-based coupled multi-factor engineering risk warning program, which, when executed by a processor, implements the steps of the BIM-based coupled multi-factor engineering risk warning method as described above.

[0071] The specific implementation methods of the computer program product of the present invention are basically the same as the embodiments of the above-mentioned BIM-based coupled multi-factor engineering risk early warning method, and will not be repeated here.

[0072] Reference Figure 10 , Figure 10 This is a structural block diagram of an embodiment of a BIM-based coupled multi-factor engineering risk early warning device of the present invention.

[0073] like Figure 10 As shown, in this embodiment, the device is applied to engineering risk warning of underground caverns. The BIM-based coupled multi-factor engineering risk warning device includes: The early warning element risk assessment module 10 is used to perform risk assessment on multiple early warning elements of the underground cavern and obtain the parent early warning value corresponding to each early warning element; A parent BIM model construction module 20 is used to construct a parent BIM risk model corresponding to each parent warning value, wherein the attribute value of the parent BIM risk model is configured based on the parent warning value; A sub-BIM model construction module 30 is configured to perform a BIM attribute superposition analysis on the plurality of parent BIM risk models to construct a sub-BIM risk model, wherein the sub-BIM risk model includes a plurality of sub-warning values, each sub-warning value being obtained by superimposing the parent warning values ​​of the parent BIM risk model at the same spatial coordinates, and the attribute values ​​of the sub-BIM risk model are configured based on the sub-warning values; The early warning element coupling module 40 is used to couple the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value; An engineering risk warning module 50 is configured to provide risk warning for the underground cavern based on the comprehensive risk value and monitor warning element information of each warning element; The dynamic warning response module 60 is used to respond to changes in warning factor information or the current monitoring time exceeds a preset time threshold, return to execute the step of performing risk assessment on multiple warning factors of the underground cavern, and obtain the parent warning value corresponding to each warning factor, so as to perform dynamic risk warning on the underground cavern.

[0074] This embodiment performs risk assessment on multiple warning elements of underground caverns to obtain parent warning values ​​corresponding to each warning element, constructs a parent BIM risk model corresponding to each parent warning value, configures the attribute value of the parent BIM risk model based on the parent warning value, performs BIM attribute superposition analysis on multiple parent BIM risk models, constructs a child BIM risk model, the child BIM risk model includes multiple child warning values, each child warning value is obtained by superimposing the parent warning value of the parent BIM risk model with the same spatial coordinates, configures the attribute value of the child BIM risk model based on the child warning value, couples the attribute values ​​in the child BIM risk model to obtain a comprehensive risk value, performs risk warning on the underground cavern based on the comprehensive risk value, monitors the warning element information of each warning element, and returns in response to changes in warning element information or the current monitoring time exceeds a preset time threshold. Execute the steps of performing risk assessment on multiple warning factors of underground caverns and obtaining the parent warning value corresponding to each warning factor to perform dynamic risk warning on the underground caverns; since this embodiment constructs corresponding parent BIM models for risk warning factors of different dimensions in the underground cavern environment, performs BIM attribute superposition analysis on multiple parent BIM risk models, and converts multiple BIM models into a single child BIM risk model that couples multiple warning factors, realizes the unified expression of multi-factor risk information, and at the same time realizes the coupling of various model attributes in the conversion process, realizes the linkage processing of model space and model attributes without losing global information and local information, and by monitoring the warning factor information, re-performs risk assessment on the warning factors of the underground cavern when the warning factor information changes or the monitoring times out, realizes dynamic risk warning of the underground cavern, and greatly improves the accuracy and timeliness of the underground cavern risk warning.

[0075] The BIM-based coupled multi-factor engineering risk warning device provided in this application adopts the BIM-based coupled multi-factor engineering risk warning method in the above-mentioned embodiment, which can solve the technical problems of BIM-based coupled multi-factor engineering risk warning. Compared with the existing technology, the beneficial effects of the BIM-based coupled multi-factor engineering risk warning device provided in this application are the same as the beneficial effects of the BIM-based coupled multi-factor engineering risk warning method provided in the above-mentioned embodiment, and the other technical features of the BIM-based coupled multi-factor engineering risk warning device are the same as the features disclosed in the above-mentioned embodiment method, and will not be repeated here.

[0076] It should be understood that the above is only an example and does not constitute any limitation to the technical solution of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any limitation on this.

[0077] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the embodiment scheme, and no limitation is made here.

[0078] In addition, for technical details not fully described in this embodiment, please refer to the BIM-based coupled multi-factor engineering risk early warning method provided in any embodiment of the present invention, and will not be repeated here.

[0079] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0080] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0081] Through the above description of the embodiments, those skilled in the art will clearly understand that the above-mentioned embodiments and methods can be implemented by means of software plus the necessary general-purpose hardware platform. Of course, hardware can also be used, but in many cases the former is a more preferred embodiment. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, a magnetic disk, or an optical disk) and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0082] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A BIM-based coupled multi-factor engineering risk early warning method, characterized by: The method is applied to engineering risk early warning of underground caverns. The BIM-based coupled multi-factor engineering risk early warning method includes: Conduct risk assessment on multiple warning factors of underground caverns and obtain the parent warning value corresponding to each warning factor; Constructing a parent BIM risk model corresponding to each parent warning value, wherein the attribute value of the parent BIM risk model is configured based on the parent warning value; Performing BIM attribute superposition analysis on the plurality of parent BIM risk models to construct a child BIM risk model, wherein the child BIM risk model includes a plurality of sub-warning values, each sub-warning value being obtained by superimposing the parent warning values ​​of the parent BIM risk model with the same spatial coordinates, and the attribute value of the child BIM risk model being configured based on the sub-warning value; Performing coupling processing on the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value; Performing risk warning on the underground cavern based on the comprehensive risk value, and monitoring warning element information of each warning element; In response to changes in warning element information or the current monitoring time exceeding a preset time threshold, return to the step of performing risk assessment on multiple warning elements of the underground cavern and obtain the parent warning value corresponding to each warning element to perform dynamic risk warning on the underground cavern.

2. The BIM-based coupled multi-factor engineering risk early warning method according to claim 1, characterized in that: The risk assessment of multiple warning factors of the underground cavern is performed to obtain the parent warning value corresponding to each warning factor, including: Determine the number of early warning elements for underground caverns; Normalizing the warning element information of the multiple warning elements of the underground cavern to obtain a normalized processing result; Performing risk assessment on the multiple warning factors based on the normalization processing result and the preset risk classification level to obtain a single factor risk value of each warning factor; Calculate the parent warning value corresponding to each warning factor based on the single factor risk value: ； in, Indicates warning factors The parent warning value of represents the single factor risk value, Indicates the number of warning factors.

3. The BIM-based coupled multi-factor engineering risk early warning method according to claim 2, characterized in that: Normalizing the warning factor information of the multiple warning factors of the underground cavern to obtain a normalized processing result includes: Classifying the risk characteristics of the early warning factor information of the multiple early warning factors of the underground cavern to determine direct quantitative factors and indirect quantitative factors; Performing feature quantization analysis on the directly quantified elements to obtain a first feature quantization result; constructing a discrete point set based on the spatial coordinates of the indirect quantization elements; Constructing Thiessen polygons corresponding to each indirect quantization element based on the discrete point set; Performing feature quantification analysis on the indirect quantification factor based on the spatial distribution characteristics of the Thiessen polygon to obtain a second feature quantification result; Normalization is performed on the first feature quantization result and the second feature quantization result to obtain a normalized result.

4. The BIM-based coupled multi-factor engineering risk early warning method according to claim 3, characterized in that: The constructing of the parent BIM risk model corresponding to each parent warning value includes: Determine the warning space range of underground caverns and the spatial coordinates of each warning element; Determine the model element boundary of each warning element based on the parent warning value corresponding to each warning element; A parent BIM risk model corresponding to each parent warning value is constructed based on the model element boundary, the warning space range and the spatial coordinates.

5. The BIM-based coupled multi-factor engineering risk early warning method according to claim 4, characterized in that: The coupling processing of the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value includes: Perform dimensionality reduction processing on each attribute value in the sub-BIM risk model, and couple the attribute values ​​after dimensionality reduction to obtain a comprehensive risk value, referring to the following formula: ； in, represents the comprehensive risk value, Indicates the sub-warning value.

6. The BIM-based coupled multi-factor engineering risk early warning method according to claim 5, characterized in that: The risk warning for the underground cavern based on the comprehensive risk value includes: Determine the comprehensive risk warning wavelength based on the comprehensive risk value: ； in, Indicates the comprehensive risk warning wavelength, represents the rounding function, Indicates the maximum value of the comprehensive risk value; Determine the single factor risk warning wavelength based on the single factor risk value of each warning factor: ； in, Indicates warning factors The single factor risk warning wavelength, Indicates the preset risk classification level; A risk warning is performed on the underground cavern based on the comprehensive risk warning wavelength and the single-element risk warning wavelength of each warning element.

7. A BIM-based coupled multi-factor engineering risk early warning device, characterized in that: The device is applied to engineering risk early warning of underground caverns. The BIM-based coupled multi-factor engineering risk early warning device includes: The early warning factor risk assessment module is used to conduct risk assessment on multiple early warning factors of underground caverns and obtain the parent early warning value corresponding to each early warning factor; A parent BIM model construction module is used to construct a parent BIM risk model corresponding to each parent warning value, wherein the attribute value of the parent BIM risk model is configured based on the parent warning value; A sub-BIM model construction module is used to perform BIM attribute superposition analysis on the multiple parent BIM risk models to construct a sub-BIM risk model, wherein the sub-BIM risk model includes multiple sub-warning values, each sub-warning value is obtained by superimposing the parent warning values ​​of the parent BIM risk model with the same spatial coordinates, and the attribute value of the sub-BIM risk model is configured based on the sub-warning value; An early warning element coupling module is used to couple the attribute values ​​in the sub-BIM risk model to obtain a comprehensive risk value; An engineering risk warning module, configured to provide risk warning for the underground cavern based on the comprehensive risk value and monitor warning element information of each warning element; The dynamic warning response module is used to respond to changes in warning factor information or the current monitoring time exceeds a preset time threshold, return to execute the step of performing risk assessment on multiple warning factors of the underground cavern, and obtain the parent warning value corresponding to each warning factor, so as to perform dynamic risk warning on the underground cavern.

8. A BIM-based coupled multi-factor engineering risk warning device, characterized by: The BIM-based coupled multi-factor engineering risk warning device includes: a memory, a processor, and a BIM-based coupled multi-factor engineering risk warning program stored on the memory and executable on the processor. The BIM-based coupled multi-factor engineering risk warning program is configured to implement the BIM-based coupled multi-factor engineering risk warning method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a BIM-based coupled multi-factor engineering risk warning program, and when the BIM-based coupled multi-factor engineering risk warning program is executed by a processor, the BIM-based coupled multi-factor engineering risk warning method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product includes a BIM-based coupled multi-factor engineering risk warning program, which, when executed by a processor, implements the steps of the BIM-based coupled multi-factor engineering risk warning method as described in any one of claims 1 to 6.

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