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

Abstract

The application discloses a kind of coupling multi-factor engineering risk early warning method, device, equipment, medium and program product based on BIM, which comprises: risk assessment is carried out to multiple early warning elements of underground cavern, parent early warning value is obtained, and parent BIM risk model is constructed, BIM attribute superposition analysis is carried out to multiple parent BIM risk models, and child BIM risk model is constructed, attribute value in child BIM risk model is coupled to generate comprehensive risk value, risk early warning is carried out to underground cavern based on comprehensive risk value, early warning element information is monitored, if early warning element information changes or monitoring is overdue, risk assessment is carried out to each early warning element again, to realize dynamic risk early warning to underground cavern, without losing global information and local information, coupling is realized to multidimensional early warning element, linkage processing of model space and model attribute is realized, and the accuracy and timeliness of underground cavern risk early warning are greatly improved.

Description

TECHNICAL FIELD

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

[0002] With the development of the energy industry and the development needs of urban construction, the construction of underground caverns is crucial to the fields of water conservancy and hydropower, railway and highway transportation, energy and mining, and municipal engineering. However, the engineering environment of underground caverns is complex, and there are many risk factors that affect the progress of the project. In order to solve the influence of different risk factors on construction, coupling multi-factor engineering risk early warning has emerged as a frontier interdisciplinary technology in recent years, and has served the engineering management and control field in depth.

[0003] Currently, in the field of engineering risk assessment, coupling multi-factor engineering risk early warning mainly relies on data-driven mechanisms. However, data-driven mechanisms have significant limitations, namely a severe lack of consideration of spatial information dimensions. In the risk assessment process, it is difficult to accurately locate the risk level of a specific spatial part of the project based on spatial information such as spatial coordinates and topological relationships. Especially in large and complex underground cavern engineering scenarios, such projects often have characteristics such as large scale, complex structure, and variable construction environment. Due to the lack of strong support from spatial information, there are problems of information coupling damage in the coupling multi-factor process, resulting in the loss of key information and local detailed information, and the results of coupling have limitations, which makes the risk assessment results highly general, and the assessment results can only stay at the macro level of the overall risk of the project, and cannot be refined to specific spatial parts, making it difficult to meet the demand for risk positioning accuracy of refined engineering management and control, greatly restricting the pertinence and effectiveness of risk management strategies. Therefore, the current engineering risk early warning cannot effectively cope with the complex and dynamic changes in the engineering environment of underground caverns, and there are problems of loss of key information and local details in the multi-factor early warning information coupling stage, and it is impossible to realize dynamic updating of early warning information, resulting in low accuracy and poor timeliness of underground cavern risk early warning. SUMMARY

[0004] The main purpose of the present application is to provide a BIM-based coupling multi-factor engineering risk early warning method, device, equipment, medium and program product, which aims to solve the technical problems that the prior art cannot effectively cope with the complex and dynamic changes in the engineering environment of underground caverns, there are problems of loss of key information and local details in the multi-factor early warning information coupling stage, and it is impossible to realize dynamic updating of early warning information, resulting in low accuracy and poor timeliness of underground cavern risk early warning.

[0005] To achieve the above object, the application provides a BIM-based coupling multi-factor engineering risk early warning method, which is applied to engineering risk early warning of an underground cavern, and comprises the following steps:

[0006] Risk assessment is performed on a plurality of early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element;

[0007] A parent BIM risk model corresponding to each parent early warning value is constructed, and attribute values of the parent BIM risk model are configured based on the parent early warning values;

[0008] BIM attribute superposition analysis is performed on a plurality of parent BIM risk models to construct a child BIM risk model, the child BIM risk model comprises a plurality of child early warning values, each child early warning value is obtained by superposition of parent early warning values of the parent BIM risk models based on the same spatial coordinates, and attribute values of the child BIM risk model are configured based on child early warning values;

[0009] The attribute values in the child BIM risk model are coupled to obtain a comprehensive risk value;

[0010] Risk early warning is performed on the underground cavern based on the comprehensive risk value, and early warning element information of each early warning element is monitored;

[0011] In response to a change in early warning element information or a current monitoring duration exceeding a preset duration threshold, the step of performing risk assessment on a plurality of early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element is returned to perform dynamic risk early warning on the underground cavern.

[0012] Optionally, the step of performing risk assessment on a plurality of early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element comprises:

[0013] The number of early warning elements of the underground cavern is determined;

[0014] Early warning element information of a plurality of early warning elements of the underground cavern is normalized to obtain a normalization result;

[0015] Based on the normalization result and a preset risk classification level, risk assessment is performed on the plurality of early warning elements to obtain single-element risk values of each early warning element;

[0016] Based on the single-element risk values, parent early warning values corresponding to each early warning element are calculated:

[0017] ;

[0018] wherein, represents the parent early warning value of the early warning element , represents a single-element risk value, represents the number of early warning elements.

[0019] Optionally, the early warning element information of the plurality of early warning elements of the underground cavern is normalized to obtain a normalization result, comprising:

[0020] The early warning element information of the plurality of early warning elements of the underground cavern is classified according to risk characteristics to determine direct quantitative elements and indirect quantitative elements;

[0021] The direct quantitative elements are subjected to feature quantification analysis to obtain a first feature quantification result;

[0022] A discrete point set is constructed based on the spatial coordinates of the indirect quantitative elements;

[0023] A Voronoi polygon corresponding to each indirect quantitative element is constructed based on the discrete point set;

[0024] The indirect quantitative elements are subjected to feature quantification analysis based on the spatial distribution characteristics of the Voronoi polygon to obtain a second feature quantification result;

[0025] The first feature quantification result and the second feature quantification result are subjected to normalization processing to obtain a normalization result.

[0026] Optionally, the construction of the parent BIM risk model corresponding to each parent early warning value comprises:

[0027] The early warning space range of the underground cavern and the spatial coordinates of each early warning element are determined;

[0028] The model element boundary of each early warning element is determined based on the parent early warning value corresponding to each early warning element;

[0029] The parent BIM risk model corresponding to each parent early warning value is constructed based on the model element boundary, the early warning space range, and the spatial coordinates.

[0030] Optionally, the coupling processing of the attribute values in the child BIM risk model to obtain a comprehensive risk value comprises:

[0031] Each attribute value in the child BIM risk model is subjected to dimension reduction processing, and the dimension-reduced attribute values are subjected to coupling processing to obtain a comprehensive risk value, according to the following formula:

[0032] ;

[0033] wherein, represents a comprehensive risk value, represents a child early warning value.

[0034] Optionally, the risk warning of the underground cavern based on the comprehensive risk value comprises:

[0035] determining a comprehensive risk warning wavelength based on the comprehensive risk value:

[0036] ;

[0037] wherein, represents the comprehensive risk warning wavelength, represents an integral function, represents a maximum value of the comprehensive risk value;

[0038] determining a single-element risk warning wavelength of each warning element based on the single-element risk value of the warning element:

[0039] ;

[0040] wherein, represents the single-element risk warning wavelength of the warning element represents a preset risk classification level;

[0041] warning the risk of the underground cavern based on the comprehensive risk warning wavelength and the single-element risk warning wavelength of each warning element.

[0042] In addition, to achieve the above-mentioned purpose, the application further provides a BIM-based coupling multi-factor engineering risk warning device, which is applied to the engineering risk warning of an underground cavern, and comprises:

[0043] a warning element risk assessment module, configured to assess the risk of multiple warning elements of the underground cavern and obtain parent warning values corresponding to each warning element;

[0044] a parent BIM model construction module, configured to construct a parent BIM risk model corresponding to each parent warning value, and configure attribute values of the parent BIM risk model based on the parent warning value;

[0045] a child BIM model construction module, configured to perform BIM attribute superposition analysis on multiple parent BIM risk models, construct a child BIM risk model, and configure attribute values of the child BIM risk model based on child warning values, wherein the child BIM risk model comprises multiple child warning values, each child warning value is obtained by superimposing parent warning values of the parent BIM risk models with the same spatial coordinates;

[0046] a warning element coupling module, configured to perform coupling processing on the attribute values in the child BIM risk model and obtain a comprehensive risk value;

[0047] ​The engineering risk early warning module is configured to perform risk early warning on the underground cavern based on the comprehensive risk value and monitor early warning element information of each early warning element.

[0048] The dynamic early warning response module is configured to, in response to a change in the early warning element information or a current monitoring duration exceeding a preset duration threshold, return to performing the step of performing risk assessment on the multiple early warning elements of the underground cavern to obtain the parent early warning value corresponding to each early warning element, so as to perform dynamic risk early warning on the underground cavern.

[0049] In addition, to achieve the above-mentioned purpose, the present application further provides a BIM-based coupled multi-factor engineering risk early warning device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the BIM-based coupled multi-factor engineering risk early warning method as described above.

[0050] In addition, to achieve the above-mentioned purpose, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the BIM-based coupled multi-factor engineering risk early warning method as described above.

[0051] In addition, to achieve the above-mentioned purpose, the present application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the steps of the BIM-based coupled multi-factor engineering risk early warning method as described above.

[0052] The application obtains parent early warning values corresponding to each early warning element by performing risk assessment on multiple early warning elements of the underground cavern, constructs a parent BIM risk model corresponding to each parent early warning value, the attribute value of the parent BIM risk model is configured based on the parent early 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 early warning values, each child early warning value is obtained by superimposing parent early warning values of the parent BIM risk model based on the same spatial coordinates, the attribute value of the child BIM risk model is configured based on the child early warning value, performs coupling processing on the attribute value in the child BIM risk model, obtains a comprehensive risk value, performs risk early warning on the underground cavern based on the comprehensive risk value, and monitors early warning element information of each early warning element, in response to a change in early warning element information or a current monitoring duration exceeding a preset duration threshold, returns to perform the step of performing risk assessment on multiple early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element, to perform dynamic risk early warning on the underground cavern; since the application constructs corresponding parent BIM models for different dimension risk early warning factors in the underground cavern environment, performs BIM attribute superposition analysis on multiple parent BIM risk models, realizes conversion of multiple BIM models into a single child BIM risk model coupled with multiple early warning factors, realizes unified expression of multi-factor risk information, simultaneously realizes coupling of each model attribute in the conversion process, realizes linkage processing of model space and model attribute without loss of global information and local information, re-performs risk assessment on early warning elements of the underground cavern in the case of a change in early warning element information or monitoring timeout, realizes dynamic risk early warning of the underground cavern, and greatly improves the accuracy and timeliness of risk early warning of the underground cavern. BRIEF DESCRIPTION OF DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0054] Figure 1 It is a structural schematic diagram of a BIM-based coupled multi-factor engineering risk early warning device of a hardware running environment involved in the embodiment of the application.

[0055] Figure 2 It is a flowchart of an embodiment of the BIM-based coupled multi-factor engineering risk early warning method of the application.

[0056] Figure 3 It is a grid model schematic diagram of a single-element risk value in an embodiment.

[0057] Figure 4 Grid model diagram of parent early warning value in an embodiment;

[0058] Figure 5 Two-dimensional model diagram of parent BIM risk model in an embodiment;

[0059] Figure 6 Two-dimensional model diagram of child BIM risk model in an embodiment;

[0060] Figure 7 Grid model diagram of comprehensive risk early warning value in an embodiment;

[0061] Figure 8 Color wavelength diagram of comprehensive early warning in an embodiment;

[0062] Figure 9 Early warning color wavelength diagram of single-element risk in an embodiment;

[0063] Figure 10 Structure block diagram of a BIM-based coupling multi-factor engineering risk early warning device in an embodiment of the application.

[0064] The implementation, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0065] It should be understood that the specific embodiments described herein are intended to explain the application and are not intended to limit the application.

[0066] Reference Figure 1 , Figure 1 Structure diagram of a BIM-based coupling multi-factor engineering risk early warning device related to a hardware operating environment of an embodiment scheme of the application.

[0067] As Figure 1As shown, the BIM-based coupling multi-factor engineering risk early warning device can include a processor 1001, for example, 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 realize the connection communication between the components. The user interface 1003 can include a display screen, an input unit such as a keyboard, and can also include a standard wired interface, a wireless interface. The network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 1005 can be a high-speed random access memory (RAM), and can also be a stable non-volatile memory (NVM), for example, a disk memory. The memory 1005 can also be a storage device independent of the aforementioned processor 1001.

[0068] Those skilled in the art can understand that Figure 1 The structure shown in the figure does not constitute a limitation on the BIM-based coupling multi-factor engineering risk early warning device, and can include more or fewer components than the figure, or combine certain components, or different component arrangements.

[0069] As Figure 1 As shown, the memory 1005 as a computer readable storage medium can include an operating system, a network communication module, a user interface module, and a BIM-based coupling multi-factor engineering risk early warning program.

[0070] In Figure 1 In the BIM-based coupling multi-factor engineering risk early warning device, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the BIM-based coupling multi-factor engineering risk early warning device of the application can be arranged in the BIM-based coupling multi-factor engineering risk early warning device, and the BIM-based coupling multi-factor engineering risk early warning device calls the BIM-based coupling multi-factor engineering risk early warning program stored in the memory 1005 through the processor 1001, and executes the BIM-based coupling multi-factor engineering risk early warning method provided by the embodiment of the application.

[0071] The embodiment of the application provides a BIM-based coupling multi-factor engineering risk early warning method, which refers to Figure 2 , Figure 2A flowchart of an embodiment of the BIM-based coupling multi-factor engineering risk early warning method of the present application.

[0072] In this embodiment, the method is applied to engineering risk early warning of underground caverns, and the BIM-based coupling multi-factor engineering risk early warning method comprises the following steps:

[0073] Step S10: Risk assessment is performed on multiple early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element.

[0074] It should be noted that in this embodiment, the engineering risk early warning of underground caverns is applied, different early warning element information is dimensionless, and a plurality of parent BIM risk models are constructed according to the spatial distribution of the dimensionless values of each early warning element. After BIM attribute superposition analysis is performed on all parent BIM risk models, a child BIM risk model is obtained, and finally the risk attribute values of the child BIM risk model are processed by dimension reduction. This embodiment realizes unified expression of multi-factor risk information, converts multiple BIM models into a single BIM model, and realizes coupling of model attributes in the conversion process. Ultimately, the model space and model attributes are linked and processed without loss of information, improving the accuracy of underground cavern engineering risk early warning and ensuring that no global risk information and local risk information in the underground cavern is missed.

[0075] It should be understood that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, or a terminal electronic device capable of realizing the above functions. In the following, the BIM-based coupling multi-factor engineering risk early warning device (referred to as early warning device) is taken as an example to describe this embodiment and the following embodiments.

[0076] It should be noted that the early warning elements can be factors or elements that have a risk impact in underground cavern engineering, such as early warning elements that can include: surrounding rock classification, structure surface level, predicted deformation distribution, predicted anchor rod stress distribution, actual support strength, anchor cable construction lag time, cumulative free space deformation, deformation rate, anchor rod stress change rate, and groundwater activity state.

[0077] In a specific implementation, the early warning device can perform risk early warning analysis on the underground cavern, extract multiple early warning elements that affect underground cavern engineering, perform risk assessment on the multiple early warning elements according to different risk severity, and then dimensionless the risk assessment results to obtain parent early warning values corresponding to each early warning element.

[0078] Further, in order to accurately assess the risk of each early warning element and quantify the parent early warning values of each early warning element, the above step S10 can comprise:

[0079] Step S101: Determine the number of warning elements of the underground cavern;

[0080] Step S102: normalizing the warning element information of the multiple warning elements of the underground cavern to obtain a normalized processing result;

[0081] 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;

[0082] Step S104: Calculate the parent warning value corresponding to each warning factor based on the single factor risk value:

[0083] ;

[0084] in, Indicates warning factors The parent warning value of represents the single factor risk value, Indicates the number of warning factors.

[0085] 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:

[0086] 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 corresponding risk characteristics of each factor, ranked from level 1 to level 5 (Mi = 1 to 5, Xi = 1 to 16), are as follows:

[0087] Surrounding rock classification (X1): I, II, III, IV, V;

[0088] Structural surface level (X2): Ⅰ, Ⅱ, Ⅲ, Ⅳ, Ⅴ;

[0089] Predicted deformation distribution (X3): 0~±5mm, ±5mm~±20mm, ±20mm~±50mm, ±50mm~±100mm, ±100mm~;

[0090] Predicted anchor stress distribution (X4): 0~±5MPa, ±5MPa~±30MPa, ±30MPa~±80NMPa, ±80MPa~±200MPa, ±200MPa~;

[0091] Actual support strength (X5): initial shotcrete, mesh shotcrete, anchor rods, anchor cables, and steel arch frames;

[0092] Anchor cable construction lag time (X6): 0 days, 1 day, 2 days, 3 days, 4 days or more;

[0093] Cumulative free air deformation (X7): 0-5mm, 5mm-20mm, 20mm-50mm, 50mm-100mm, 100mm-;

[0094] Deformation rate (X8): ±0.2mm / d, ±0.2-±0.5mm / d, ±0.5-±1mm / d, ±1-±5mm / d, ±5mm / d-;

[0095] Anchor stress rate of change (X9): 0-0.2MPa / d, 0.2MPa-1MPa, 1MPa-5MPa, 5MPa-25MPa, 25MPa-;

[0096] Groundwater activity state (X10): dry or wet wall, seepage or dripping along the structure surface, serious dripping, a large amount of dripping or linear flow or spraying along the weak structure surface, serious dripping, a small amount of gushing along the weak structure surface, serious stock flow, fault along the weak zone with a large amount of gushing.

[0097] Further, in order to ensure that different dimensions of heterogeneous early warning elements can be accurately quantified, the above step S102 can include:

[0098] Step S1021: classifying risk features of early warning element information of a plurality of early warning elements of the underground cavern, and determining direct quantification elements and indirect quantification elements;

[0099] Step S1022: performing feature quantification analysis on the direct quantification elements to obtain a first feature quantification result;

[0100] Step S1023: constructing a discrete point set based on the spatial coordinates of the indirect quantification elements;

[0101] Step S1024: constructing a Thiessen polygon corresponding to each indirect quantification element based on the discrete point set;

[0102] Step S1025: performing feature quantification analysis on the indirect quantification elements based on the spatial distribution characteristics of the Thiessen polygon to obtain a second feature quantification result;

[0103] Step S1026: performing normalization processing on the first feature quantification result and the second feature quantification result to obtain a normalization processing result.

[0104] It should be noted that the directly quantified element is a warning element that can be directly measured or calculated, and its data has a clear physical unit and continuity. The indirectly quantified element is a warning element that needs to be derived through spatial analysis or expert experience, and the data is usually discrete and depends on subjective judgment.

[0105] It can be understood that the embodiment can classify the warning elements by features. For the warning elements that can be directly quantified, such as underground water level, surrounding rock stress, etc., they are classified as directly quantified elements. For the warning elements that cannot be directly quantified, such as underground water activity state, actual support strength, etc., they are classified as indirectly quantified elements.

[0106] It should be understood that the warning device extracts the spatial coordinates of the indirectly quantified elements through geological exploration maps, three-dimensional laser scanning or BIM models, converts the spatial distribution of the indirectly quantified elements into a discrete point set, and provides a data basis for subsequent Thiessen polygon analysis.

[0107] Step S20: constructing a parent BIM risk model corresponding to each parent warning value.

[0108] It should be noted that the attribute value of the parent BIM risk model is configured based on the parent warning value.

[0109] In some embodiments, the warning device can add attribute parameters such as spatial coordinates, risk type, parent warning value, etc. to each model element in the parent BIM risk model.

[0110] In some embodiments, the warning device can determine the model element boundary based on the element type, influence range and parent warning value of the warning element, and construct the parent BIM risk model based on the model element boundary.

[0111] It should be noted that the surrounding rock classification, structure surface level and predicted deformation distribution are themselves represented by three-dimensional entities, which 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, such as using Thiessen polygon to realize three-dimensional entity, so that all risk factors can be expressed in the form of the parent BIM risk model.

[0112] Further, in order to introduce the spatial dimension, the risk elements and the BIM model are highly corresponding, and it is ensured that the warning element information of different dimensions can be losslessly preserved. The above step S20 can include:

[0113] Step S201: determining the warning space range of the underground cavern and the spatial coordinates of each warning element;

[0114] Step S202: determining the model element boundary of each warning element based on the parent warning value corresponding to each warning element;

[0115] Step S203: constructing a parent BIM risk model corresponding to each parent early warning value based on the model element boundary, the early warning space range and the spatial coordinates.

[0116] It can be understood that the actual data processing process is for three-dimensional models and their attributes. In order to simplify the description, this embodiment takes a 10x10 two-dimensional matrix to represent the early warning space range of each parent model, such as the single-element risk value M1 of the surrounding rock classification and the single-element risk value M8 of the deformation rate. Figure 3 As shown in the figure, Figure 3 is a schematic diagram of a grid model of single-element risk values in an embodiment, Figure 3 The two-dimensional matrix of the grid model in the figure is used to simulate the grid model of the parent BIM risk model digital model, wherein M1 represents the single-element risk value of the surrounding rock classification early warning element, M8 represents the single-element risk value of the deformation rate early warning element, the horizontal and vertical axes are coordinate positions, and each cell represents a grid.

[0117] For example, the parent BIM risk model of the surrounding rock classification early warning element M1 and the deformation rate early warning element M8 is coupled and analyzed, and the parent early warning values X1 and X8 corresponding to the surrounding rock classification and the predicted deformation distribution are calculated according to the formula As shown in the figure, Figure 4 is a schematic diagram of a grid model of single-element risk values in an embodiment, Figure 4 wherein X1 is the parent early warning value of the surrounding rock classification early warning element, and X8 is the parent early warning value corresponding to the predicted deformation distribution early warning element, Figure 4 The region where the early warning values of adjacent cells are the same is equivalent to an element in the BIM model, that is, the boundary determined according to the parent early warning value, and the parent BIM risk model is constructed accordingly as shown in the figure Figure 5 As shown in the figure, Figure 5 is a schematic diagram of a two-dimensional model of a parent BIM risk model in an embodiment, wherein B1 represents the parent BIM risk model of the surrounding rock classification early warning element, and B8 represents the parent BIM risk model of the predicted deformation early warning element, Figure 5 The two-dimensional matrix in the figure corresponds to grid data, and when the BIM model uses vector data, the boundary determined according to the same parent early warning value can directly form a model entity.

[0118] The BIM attribute superposition analysis is performed on the parent BIM risk models B1 and B8 to obtain a child BIM risk model Y, as shown in the figure Figure 6 , Figure 6 is a schematic diagram of a two-dimensional model of a child BIM risk model generated after the attribute superposition analysis of the parent BIM risk model in an embodiment, and each child early warning value Y inherits the parent early warning value of the same early warning element from the same part is a principle, and each child early warning value Y is stored in the attribute of the corresponding element of the child BIM risk model.

[0119] Step S30: performing BIM attribute superposition analysis on the plurality of parent BIM risk models to construct a child BIM risk model.

[0120] It should be noted that the child BIM risk model includes a plurality of child early warning values, each child early warning value being obtained by superposition of parent early warning values of the parent BIM risk model based on the same spatial coordinates, and an attribute value of the child BIM risk model being configured based on the child early warning values.

[0121] In a specific implementation, BIM attribute superposition analysis is performed on all n parent BIM risk models to obtain one child BIM risk model, and each child early warning value Y is stored in a corresponding attribute of the child BIM risk model according to the principle that each child early warning value inherits a parent early warning value of the same part and the same early warning element.

[0122] Step S40: performing coupling processing on the attribute values in the child BIM risk model to obtain a comprehensive risk value.

[0123] In some embodiments, the early warning device can reduce the dimensionality of each attribute value in the child BIM risk model, and then couple the attribute values after dimensionality reduction to obtain a comprehensive risk value coupled with multiple early warning elements.

[0124] It can be understood that the present embodiment reduces the plurality of BIM models corresponding to the plurality of risk dimensions to a single BIM model, losslessly retains the risk information of the original plurality of BIM models by expanding the BIM model attributes, and ensures that no information is missed in the risk assessment process.

[0125] Further, in order to losslessly couple the attribute information of each parent BIM risk model, the above step S40 can include:

[0126] Step S401: performing dimensionality reduction processing on each attribute value in the child BIM risk model, and coupling the attribute values after dimensionality reduction to obtain a comprehensive risk value.

[0127] It should be noted that all n attribute values in each element of the child BIM risk model are coupled according to the following formula:

[0128]

[0129] wherein, represents a comprehensive risk value, represents a child early warning value.

[0130] In a specific implementation, all attributes in each element of the child BIM risk model are processed by dimensionality reduction to a single value according to the formula to obtain a comprehensive risk early warning value coupled with multiple factors.​ Referring to Figure 7 , Figure 7 is a schematic diagram of a grid model of a comprehensive risk early warning value in an embodiment.

[0131] In some embodiments, the early warning device can perform attention analysis based on each pair of attribute values, obtain an attention score of each attribute value, assign an attention weight to each attribute value based on the attention score, and obtain a comprehensive risk value by coupling the dimension-reduced attribute values based on the attention weight.

[0132] Step S50: performing risk early warning on the underground cavern based on the comprehensive risk value, and monitoring early warning element information of each early warning element.

[0133] In a specific implementation, the early warning device can determine a risk color wavelength based on the comprehensive risk value, and perform rendering based on the risk color wavelength and the sub-BIM risk model, so as to realize visual display of the underground cavern engineering risk and realize risk early warning.

[0134] Further, in order to improve the accuracy of risk early warning and more intuitively display risk information, the above step S50 can include:

[0135] Step S501: determining a comprehensive risk early warning wavelength based on the comprehensive risk value;

[0136] Step S502: determining a single-element risk early warning wavelength based on a single-element risk value of each early warning element;

[0137] Step S503: performing risk early warning on the underground cavern based on the comprehensive risk early warning wavelength and the single-element risk early warning wavelength of each early warning element.

[0138] It should be noted that Figure 8 , Figure 8 is a schematic diagram of a color wavelength of comprehensive early warning in an embodiment, and the color wavelength of comprehensive early warning is calculated according to the following formula:

[0139] ;

[0140] Among them, denotes the comprehensive risk early warning wavelength, denotes the rounding function, denotes the maximum value of the comprehensive risk value.

[0141] Referring to Figure 9 , Figure 9 is a warning color wavelength of a single-element risk in an embodiment, wherein denotes a color wavelength schematic diagram of a surrounding rock classification early warning element, The color wavelength diagram of the deformation rate early warning element is calculated according to the following formula:

[0142] ;

[0143] Wherein, represents the single-element risk early warning wavelength of the early warning element , represents the preset risk classification level.

[0144] It can be understood that the early warning device performs model color rendering based on the comprehensive risk early warning wavelength and the single-element risk early warning wavelength of each early warning element, thereby realizing visual risk early warning.

[0145] Step S60: In response to a change in early warning element information or a current monitoring duration exceeding a preset duration threshold, return to perform the step of risk assessment of the plurality of early warning elements of the underground cavern to obtain the parent early warning value corresponding to each early warning element, to perform dynamic risk early warning on the underground cavern.

[0146] In some embodiments, the early warning device can perform dynamic risk early warning based on the following steps:

[0147] Step 1: Determine the number of early warning elements and the early warning space range;

[0148] Step 2: Divide each early warning element into m levels of single-element risk values according to the risk severity based on the number of early warning elements and the early warning space range ;

[0149] Step 3: Calculate the parent early warning value according to the formula ;

[0150] Step 4: Determine the boundary according to the parent early warning value , and construct a parent BIM risk model according to the boundary, with the model attribute value being the corresponding parent early warning value ;

[0151] Step 5: Perform BIM attribute superposition analysis on all n parent BIM risk models to obtain one child BIM risk model, with each child early warning value inherited from the parent early warning value of the same part and early warning element as the principle, and each child early warning value stored in the corresponding attribute of the child BIM risk model;

[0152] Step 6: Perform dimension reduction single value processing on all n attribute values in each element in the child BIM risk model according to the formula to obtain a multi-factor comprehensive risk value F coupled;

[0153] Step 7: Based on the single-element risk value and the comprehensive risk value to perform risk warning.

[0154] Step 8: If the warning information changes or reaches a certain time, return to step 3.

[0155] It can be understood that, through the conversion process from the single-element risk value, the parent warning value, the child warning value, to the comprehensive risk value, the embodiment can well coordinate the magnitude of the single-element risk value and the comprehensive risk value, the risk level will not change due to the risk quantity, the integer part of the risk level before and after processing is unchanged, and the decimal part reflects the risk severity within the level, which is convenient for analysts to evaluate.

[0156] The embodiment performs risk assessment on multiple warning elements of the underground cavern, obtains parent warning values corresponding to the warning elements, constructs parent BIM risk models corresponding to the parent warning values, the attribute values of the parent BIM risk models are configured based on the parent warning values, performs BIM attribute superposition analysis on the 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 parent warning values of the parent BIM risk models based on the same spatial coordinates, the attribute values of the child BIM risk model are configured based on the child warning values, the attribute values in the child BIM risk model are coupled, a comprehensive risk value is obtained, the underground cavern is warned based on the comprehensive risk value, and warning element information of each warning element is monitored. In response to a change in the warning element information or a current monitoring duration exceeding a preset duration threshold, the step of performing risk assessment on the multiple warning elements of the underground cavern to obtain the parent warning values corresponding to the warning elements is returned to perform dynamic risk warning on the underground cavern; since the embodiment constructs corresponding parent BIM models for different dimension risk warning factors in the underground cavern environment, performs BIM attribute superposition analysis on the multiple parent BIM risk models, realizes conversion of the multiple BIM models into a single child BIM risk model coupled with multiple warning factors, realizes unified expression of multi-factor risk information, and realizes coupling of each model attribute in the conversion process, realizes linkage processing of model space and model attribute without loss of global information and local information, re-performs risk assessment on the warning elements of the underground cavern in the case of change of the warning element information or monitoring timeout, realizes dynamic risk warning of the underground cavern, and greatly improves the accuracy and timeliness of the risk warning of the underground cavern.

[0157] In addition, the embodiment of the present application also provides a computer readable storage medium, and the computer readable storage medium stores a BIM-based coupled multi-factor engineering risk early warning program.

[0158] The computer readable storage medium provided in the present application may, for example, be a U disk, but is not limited to an electric, magnetic, optical, electromagnetic, infrared, or semiconductor system, system, or device, or any combination of the above. More specific examples of the computer readable storage medium may include, but are not limited to, an electric connection with one or more conductive wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present embodiment, the computer readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system, or device. The program code contained on the computer readable storage medium can be transmitted by any suitable medium, including but not limited to an electric wire, an optical cable, an RF (Radio Frequency), and the like, or any suitable combination of the above.

[0159] The above computer readable storage medium may be contained in the BIM-based coupled multi-factor engineering risk early warning device; or may exist separately and not be assembled into the BIM-based coupled multi-factor engineering risk early warning device.

[0160] In addition, the embodiment of the present application also provides a computer program product, including a BIM-based coupled multi-factor engineering risk early warning program, which realizes the steps of the BIM-based coupled multi-factor engineering risk early warning method when executed by a processor.

[0161] The computer program product of the present application has basically the same specific implementation as the above-mentioned embodiments of the BIM-based coupled multi-factor engineering risk early warning method, and will not be described here.

[0162] Reference Figure 10 , Figure 10 is a structural block diagram of an embodiment of the BIM-based coupled multi-factor engineering risk early warning device of the present application.

[0163] 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:

[0164] 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;

[0165] 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;

[0166] 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;

[0167] 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;

[0168] 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;

[0169] 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.

[0170] The embodiment obtains parent early warning values corresponding to each early warning element by performing risk assessment on the multiple early warning elements of the underground cavern, constructs a parent BIM risk model corresponding to each parent early warning value, the attribute value of the parent BIM risk model is configured based on the parent early warning value, performs BIM attribute superposition analysis on the multiple parent BIM risk models, constructs a child BIM risk model, the child BIM risk model includes multiple child early warning values, each child early warning value is obtained by superimposing the parent early warning values of the parent BIM risk model based on the same spatial coordinates, the attribute value of the child BIM risk model is configured based on the child early warning value, performs coupling processing on the attribute values in the child BIM risk model, obtains a comprehensive risk value, performs risk early warning on the underground cavern based on the comprehensive risk value, and monitors early warning element information of each early warning element. In response to a change in early warning element information or a current monitoring duration exceeding a preset duration threshold, the step of performing risk assessment on the multiple early warning elements of the underground cavern to obtain the parent early warning values corresponding to each early warning element is returned to perform dynamic risk early warning on the underground cavern. Since the embodiment constructs corresponding parent BIM models for different dimension risk early warning factors in the underground cavern environment, performs BIM attribute superposition analysis on the multiple parent BIM risk models, realizes the conversion of multiple BIM models into a single child BIM risk model coupled with multiple early warning factors, realizes the unified expression of multi-factor risk information, and realizes the coupling of each model attribute in the conversion process. On the premise of not losing global information and local information, the linkage processing of model space and model attribute is realized. Through monitoring of early warning element information, in the case of early warning element information change or monitoring timeout, the risk assessment on the early warning elements of the underground cavern is performed again to realize the dynamic risk early warning of the underground cavern, and the accuracy and timeliness of the risk early warning of the underground cavern are greatly improved.

[0171] The BIM-based coupled multi-factor engineering risk early warning device provided in the application adopts the BIM-based coupled multi-factor engineering risk early warning method in the above embodiment, and can solve the technical problem of BIM-based coupled multi-factor engineering risk early warning. Compared with the prior art, the BIM-based coupled multi-factor engineering risk early warning device provided in the application has the same beneficial effects as the BIM-based coupled multi-factor engineering risk early warning method provided in the above embodiment, and other technical features in the BIM-based coupled multi-factor engineering risk early warning device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0172] It should be understood that the above is only an example, and the technical solutions of the application do not constitute any limitation. In specific applications, those skilled in the art can set it up as needed, and the application does not limit it.

[0173] It should be noted that the above-described workflow is merely illustrative and does not limit the scope of protection of the present application. In actual applications, a person skilled in the art can select part or all of the above-described workflow to achieve the purpose of the embodiment according to actual needs, which is not limited herein.

[0174] In addition, technical details not described in detail in the present embodiment can be found in the BIM-based coupling multi-factor engineering risk early warning method provided by any embodiment of the present application, which will not be described here.

[0175] It should be noted that in this document, the terms "comprise", "comprise", or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or other elements inherent to such a process, method, article or system. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of additional identical elements in the process, method, article or system comprising the element.

[0176] The above-mentioned embodiment numbers of the present application are only for description, not representing the advantages and disadvantages of the embodiments.

[0177] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and necessary general hardware platform, of course, they can also be realized by hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application or the part that contributes to the prior art can be embodied in the form of software product, which is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk), including a plurality of instructions for making a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) execute the method described in each embodiment of the present application.

[0178] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, is also included in the patent protection scope of the present application.

Claims

1. A BIM-based multi-factor coupled engineering risk early warning method, characterized in that, The method is applied to engineering risk early warning of an underground cavern, and the BIM-based coupling multi-factor engineering risk early warning method comprises the following steps: Risk assessment is performed on a plurality of early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element; A parent BIM risk model corresponding to each parent early warning value is constructed, and attribute values of the parent BIM risk model are configured based on the parent early warning values; BIM attribute superposition analysis is performed on a plurality of parent BIM risk models to construct a child BIM risk model, the child BIM risk model comprises a plurality of child early warning values, each child early warning value is obtained by superimposing parent early warning values of the parent BIM risk models based on the same spatial coordinates, and attribute values of the child BIM risk model are configured based on the child early warning values; The attribute values in the child BIM risk model are coupled to obtain a comprehensive risk value; Risk early warning is performed on the underground cavern based on the comprehensive risk value, and early warning element information of each early warning element is monitored; In response to a change in early warning element information or a current monitoring duration exceeding a preset duration threshold, the step of performing risk assessment on a plurality of early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element is returned to perform dynamic risk early warning on the underground cavern; The risk assessment on a plurality of early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element comprises: The number of early warning elements of the underground cavern is determined; Early warning element information of a plurality of early warning elements of the underground cavern is normalized to obtain a normalization result; Risk assessment is performed on the plurality of early warning elements based on the normalization result and a preset risk classification level to obtain a single-element risk value of each early warning element; Parent early warning values corresponding to each early warning element are calculated based on the single-element risk value: ； wherein, represents a warning element a parent warning value of represents a single-element risk value, represents a number of warning elements; The coupling processing of the attribute values in the child BIM risk model to obtain a comprehensive risk value comprises: Each attribute value in the child BIM risk model is dimensionally reduced, and the dimensionally reduced attribute values are coupled to obtain a comprehensive risk value, according to the following formula: ； wherein, represents a comprehensive risk value, represents a sub-warning value; The risk early warning on the underground cavern based on the comprehensive risk value comprises: A comprehensive risk early warning wavelength is determined based on the comprehensive risk value: ； wherein, denotes the comprehensive risk warning wavelength, denotes the rounding function, denotes the maximum value of the comprehensive risk value; A single-element risk early warning wavelength is determined based on the single-element risk value of each early warning element: ； wherein, represents a single-element risk early warning wavelength of the early warning element represents a preset risk classification level;​ The underground cavern is risk early warned based on the comprehensive risk early warning wavelength and the single-element risk early warning wavelength of each early warning element.

2. The BIM-based coupled multi-factor engineering risk early warning method of claim 1, wherein, The normalization of the early warning element information of the plurality of early warning elements of the underground cavern to obtain a normalization result comprises: Risk feature classification is performed on the early warning element information of the plurality of early warning elements of the underground cavern to determine direct quantitative elements and indirect quantitative elements; Feature quantization analysis is performed on the direct quantitative elements to obtain a first feature quantization result; A discrete point set is constructed based on spatial coordinates of the indirect quantitative elements; A Voronoi polygon corresponding to each indirect quantitative element is constructed based on the spatial distribution characteristics of the Voronoi polygon; Feature quantization analysis is performed on the indirect quantitative elements based on the spatial distribution characteristics of the Voronoi polygon to obtain a second feature quantization result; The first feature quantization result and the second feature quantization result are normalized to obtain a normalization result.

3. The BIM-based coupled multi-factor engineering risk early warning method of claim 2, wherein, The parent BIM risk model corresponding to each parent early warning value is constructed, including: determining the early warning space range of the underground cavern and the spatial coordinates of each early warning element; determining the model element boundary of each early warning element based on the parent early warning value corresponding to the early warning element; constructing the parent BIM risk model corresponding to each parent early warning value based on the model element boundary, the early warning space range, and the spatial coordinates.

4. A BIM-based coupling multi-factor engineering risk early warning device, characterized in that, The device is applied to engineering risk early warning of an underground cavern, and the BIM-based coupling multi-factor engineering risk early warning device includes: an early warning element risk assessment module configured to perform risk assessment on multiple early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element; a parent BIM model construction module configured to construct a parent BIM risk model corresponding to each parent early warning value, wherein attribute values of the parent BIM risk model are configured based on the parent early warning values; a child BIM model construction module configured to perform BIM attribute superposition analysis on multiple parent BIM risk models to construct a child BIM risk model, wherein the child BIM risk model includes multiple child early warning values, each child early warning value is obtained by superimposing parent early warning values of the parent BIM risk model with the same spatial coordinates, and attribute values of the child BIM risk model are configured based on child early warning values; an early warning element coupling module configured to perform coupling processing on attribute values in the child BIM risk model to obtain a comprehensive risk value; an engineering risk early warning module configured to perform risk early warning on the underground cavern based on the comprehensive risk value and monitor early warning element information of each early warning element; a dynamic early warning response module configured to, in response to a change in early warning element information or a current monitoring duration exceeding a preset duration threshold, return to perform the step of performing risk assessment on multiple early warning elements of the underground cavern to obtain parent early warning values corresponding to each early warning element, to perform dynamic risk early warning on the underground cavern; The early warning element risk assessment module is further configured to determine the number of early warning elements of the underground cavern, perform normalization processing on early warning element information of multiple early warning elements of the underground cavern to obtain a normalization result, perform risk assessment on the multiple early warning elements based on the normalization result and a preset risk classification level to obtain single-element risk values of each early warning element, and calculate parent early warning values corresponding to each early warning element based on the single-element risk values: ； wherein, represents a warning element a parent warning value of represents a single-element risk value, represents a number of warning elements; The early warning element coupling module is further configured to perform dimension reduction processing on each attribute value in the child BIM risk model, and perform coupling processing on the dimension-reduced attribute values to obtain a comprehensive risk value, according to the following formula: ； wherein, represents a comprehensive risk value, represents a sub-warning value; The engineering risk early warning module is further configured to determine a comprehensive risk early warning wavelength based on the comprehensive risk value: ； wherein, denotes a comprehensive risk warning wavelength, denotes a rounding function, denotes a maximum value of the comprehensive risk value; determine a single-element risk early warning wavelength based on single-element risk values of each early warning element: ； wherein, represents a single-element risk early warning wavelength of the early warning element represents a preset risk classification level;​ perform risk early warning on the underground cavern based on the comprehensive risk early warning wavelength and the single-element risk early warning wavelength of each early warning element. 5.A BIM-based engineering risk early warning device coupled with multiple factors, characterized in that, The BIM-based coupled multi-factor engineering risk early warning device comprises a memory, a processor, and a BIM-based coupled multi-factor engineering risk early warning program stored on the memory and executable on the processor, and the BIM-based coupled multi-factor engineering risk early warning program is configured to implement the BIM-based coupled multi-factor engineering risk early warning method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a BIM-based coupled multi-factor engineering risk early warning program, and the BIM-based coupled multi-factor engineering risk early warning program implements the BIM-based coupled multi-factor engineering risk early warning method according to any one of claims 1 to 3 when executed by a processor.

7. A computer program product, characterised in that, The computer program product comprises a BIM-based coupled multi-factor engineering risk early warning program, and the BIM-based coupled multi-factor engineering risk early warning program implements the steps of the BIM-based coupled multi-factor engineering risk early warning method according to any one of claims 1 to 3 when executed by a processor.

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