Tunnel risk comprehensive evaluation system and method based on embedded three-dimensional geologic model

Abstract

The invention provides a tunnel risk comprehensive evaluation system and method based on an embedded three-dimensional geologic model, and the system comprises a dynamic simulation module which is used for constructing the embedded three-dimensional geologic model, and carrying out the dynamic simulation of the real-time parameters of a tunnel in the embedded three-dimensional geologic model; the tunnel risk comprehensive assessment module is used for constructing a tunnel operation risk assessment model and inputting the dynamic simulation result into the tunnel operation risk assessment model for tunnel risk comprehensive assessment; and the visual display module is used for visually displaying the comprehensive evaluation result of the tunnel risk in the embedded three-dimensional geological model. The real-time geological condition of the tunnel can be visually and effectively known, the comprehensiveness and accuracy of tunnel risk assessment are guaranteed, the specific condition of the tunnel risk can be effectively known, effective measures can be taken in time for emergency response, and the effect of tunnel risk assessment is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a tunnel risk comprehensive assessment system and method based on an embedded three-dimensional geological model. Background Art

[0002] At present, with the continuous development of the economy and society, the number of road tunnels in my country is increasing. However, the environment in which different tunnels are located has unforeseen risk factors, and the risk factors are diverse and complex. Therefore, tunnel engineering safety risk assessment has become a top priority in tunnel development.

[0003] However, traditional assessment methods often have certain limitations, such as non-intuitive data and difficulty in fully considering complex geological conditions. At the same time, it is impossible to effectively understand the geological conditions inside the tunnel and its location, which leads to an incomplete assessment of tunnel risks and difficulty in accurately formulating effective measures to deal with tunnel risks, greatly reducing the effectiveness of tunnel risk assessment.

[0004] Therefore, in order to overcome the above-mentioned defects, the present invention provides a tunnel risk comprehensive assessment system and method based on an embedded three-dimensional geological model. Summary of the invention

[0005] The present invention provides a tunnel risk comprehensive assessment system and method based on an embedded three-dimensional geological model, which is used to construct an embedded three-dimensional geological model and dynamically simulate the real-time parameters of the tunnel in the embedded three-dimensional geological model, so as to facilitate an intuitive and effective understanding of the real-time geological conditions of the tunnel. Secondly, a tunnel operation risk assessment model is constructed, and the dynamic simulation results are analyzed to achieve a comprehensive assessment of tunnel risks, thereby ensuring the comprehensiveness and accuracy of tunnel risk assessment. Finally, the comprehensive assessment results of tunnel risks are visualized in the embedded three-dimensional geological model, so as to facilitate an effective understanding of the specific conditions of the tunnel risks, thereby facilitating timely and effective measures for emergency response, thereby greatly improving the effect of tunnel risk assessment.

[0006] The present invention provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, comprising:

[0007] Dynamic simulation module, used to construct an embedded 3D geological model and dynamically simulate the real-time parameters of the tunnel in the embedded 3D geological model;

[0008] Tunnel risk comprehensive assessment module, used to build a tunnel operation risk assessment model and input dynamic simulation results into the tunnel operation risk assessment model for tunnel risk comprehensive assessment;

[0009] The visualization display module is used to visualize the comprehensive assessment results of tunnel risks in the embedded three-dimensional geological model.

[0010] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a tunnel risk comprehensive assessment module, comprises:

[0011] A data collection unit is used to collect tunnel accident data sets and input the tunnel accident data sets into a preset model to analyze the coupling mechanism of tunnel accident risks and determine the key risk types of tunnel operations;

[0012] A data partitioning unit is used to classify the key risk types of tunnel operations and obtain a sub-tunnel accident data set corresponding to each key risk type;

[0013] A risk factor determination unit is used to construct a tunnel operation accident risk association network, identify the sub-tunnel accident data set based on the tunnel operation accident risk association network, and determine different risk factors in the tunnel operation risk;

[0014] The risk assessment indicator system construction unit is used to extract key risk factors from different risk factors and construct a risk assessment indicator system based on the key risk factors;

[0015] A tunnel operation risk assessment model building unit is used to obtain weight information of various risk assessment indicators in the risk assessment indicator system and build a tunnel operation risk assessment model according to the weight information;

[0016] The simulation unit is used to input the dynamic simulation results into the tunnel operation risk assessment model to conduct a comprehensive assessment of tunnel risks and output the assessment results.

[0017] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a risk factor determination unit, comprises:

[0018] A network construction subunit, used to construct a tunnel operation accident risk association network based on a preset method;

[0019] Identify subunits for:

[0020] The sub-tunnel accident data sets corresponding to each key risk type are respectively input into the tunnel operation accident risk association network for identification, and the target node of the sub-tunnel accident data set in the tunnel operation accident risk association network is determined;

[0021] Based on the tunnel operation accident risk association network, the risk factors corresponding to the target nodes are output, and the risk factors corresponding to each key risk type are determined based on the output results.

[0022] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a risk assessment index system construction unit, comprises:

[0023] Key risk factor extraction subunit, used to:

[0024] Determine the degree and betweenness of different target nodes based on the tunnel operation accident risk association network;

[0025] Determine the importance of each risk factor based on the degree and betweenness of each target node;

[0026] Obtaining importance thresholds, and comparing the importance of the risk factors with the importance thresholds respectively;

[0027] According to the comparison results, risk factors corresponding to importance levels equal to or greater than the importance threshold are extracted from different risk factors as key risk factors;

[0028] The risk assessment indicator system construction sub-unit is used to quantify key risk factors, determine risk assessment indicators, and construct a risk assessment indicator system based on risk assessment indicators and key risk factors.

[0029] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a tunnel operation risk assessment model building unit, comprises:

[0030] A subjective weight determination subunit, used to determine the subjective weight of each risk assessment indicator in the risk assessment indicator system according to a first preset method;

[0031] An objective weight determination subunit, used to determine the objective weight of each risk assessment indicator in the risk assessment indicator system according to a second preset method;

[0032] The comprehensive weight determination subunit is used to:

[0033] Construct a basis vector group according to the subjective weight and objective weight of each risk assessment indicator;

[0034] Arbitrarily combine the weight vectors in the basis vector group to construct a weight vector set;

[0035] Constructing a preset objective function, and performing a differential operation on a weight vector in a weight vector set according to the preset objective function to determine an extreme value condition of the preset objective function;

[0036] The extreme value conditions are solved according to the weight vector, and the solution results are normalized to obtain the comprehensive weight of the risk assessment index;

[0037] The model training subunit is used to obtain the preset cloud model, train the preset cloud model according to the comprehensive weight, and build a tunnel operation risk assessment model based on the training results.

[0038] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a model training subunit, comprises:

[0039] A first training subunit, configured to perform first parameter training on a preset cloud model by using the evaluation index and the comprehensive weight of the evaluation index as training elements;

[0040] The second training subunit is used to calculate the cloud membership of the evaluation indicator, determine the risk level corresponding to the evaluation indicator according to the calculation result, and perform second parameter training on the preset cloud model according to the risk level;

[0041] A tunnel operation risk assessment model acquisition subunit is used to obtain a tunnel operation risk assessment model according to the first parameter training result and the second parameter training result;

[0042] Trustworthy Assessment Subunit, used to:

[0043] After obtaining the tunnel operation risk assessment model, the credibility of the tunnel operation risk assessment model is calculated, and at the same time, a credibility threshold is obtained;

[0044] Compare the credibility of the tunnel operation risk assessment model with the credibility threshold to determine whether the assessment result of the tunnel operation risk assessment model is credible;

[0045] When the credibility of the tunnel operation risk assessment model is less than or equal to the credibility threshold, the assessment result of the tunnel operation risk assessment model is determined to be unreliable;

[0046] Otherwise, the assessment result of the tunnel operation risk assessment model is determined to be credible;

[0047] The alarm report generating subunit is used to generate an alarm report when the assessment result of the tunnel operation risk assessment model is unreliable, and transmit the alarm report to the user terminal.

[0048] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a dynamic simulation module, comprises:

[0049] Model building unit for:

[0050] Determine the required geological data category based on the requirements for building a three-dimensional geological model, and scan the tunnel based on the required geological data category to obtain multi-dimensional geological data of the tunnel;

[0051] Dimension splitting is performed on multi-dimensional geological data, and based on the dimension splitting result, data traversal is performed on the geological data in each dimension to obtain abnormal data of the geological data in each dimension;

[0052] Clean the abnormal data of geological data in each dimension, and normalize the geological data in each dimension according to the requirements of building a three-dimensional geological model based on the cleaning results to obtain standard multi-dimensional geological data;

[0053] Extracting geological representation objects of each standard dimension of geological data in the standard multidimensional geological data respectively, and determining structural features of each geological representation object based on sample representation of each standard dimension of geological data;

[0054] Divide the tunnel into strata based on the geological characterization objects, and determine the structural correlation between different strata according to the structural characteristics of each geological characterization object;

[0055] An embedded three-dimensional geological model of the tunnel is constructed based on a computer according to the structural characteristics of each geological representation object and the structural correlation between different strata, and a data interaction interface is reserved for the embedded three-dimensional geological model;

[0056] Dynamic simulation unit for:

[0057] Receive the real-time parameters of the tunnel based on the data interaction interface, analyze the real-time parameters, and determine the location nodes and update parameters for updating the embedded three-dimensional geological model;

[0058] Based on the location nodes and updated parameters, the real-time parameters of the tunnel are dynamically simulated in the embedded 3D geological model.

[0059] Preferably, a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, a visualization display module, comprises:

[0060] A result acquisition unit is used to acquire the tunnel risk comprehensive assessment result, read the tunnel risk comprehensive assessment result, and determine the distribution characteristics of the risk location points in the tunnel;

[0061] At the same time, based on the comprehensive assessment results of tunnel risks, the risk factors and corresponding risk levels of each risk location point are determined, and the risk location points, the risk factors of each risk location point and the corresponding risk level are marked with difference marks;

[0062] Based on the distribution characteristics of risky locations of the tunnel, the difference markers are mapped and marked in the embedded three-dimensional geological model, and the mapping and marking results are visualized based on the embedded three-dimensional geological model.

[0063] The present invention provides a tunnel risk comprehensive assessment method based on an embedded three-dimensional geological model, comprising:

[0064] Step 1: construct an embedded 3D geological model and dynamically simulate the real-time parameters of the tunnel in the embedded 3D geological model;

[0065] Step 2: Construct a tunnel operation risk assessment model and input the dynamic simulation results into the tunnel operation risk assessment model to conduct a comprehensive assessment of tunnel risks;

[0066] Step 3: Visualize the comprehensive tunnel risk assessment results in the embedded 3D geological model.

[0067] Preferably, a tunnel risk comprehensive assessment method based on an embedded three-dimensional geological model, in step 2, constructs a tunnel operation risk assessment model, and inputs the dynamic simulation results into the tunnel operation risk assessment model for tunnel risk comprehensive assessment, including:

[0068] Collect tunnel accident data sets and input them into the preset model to analyze the coupling mechanism of tunnel accident risks and determine the key risk types of tunnel operations;

[0069] Classify the key risk types of tunnel operations and obtain the sub-tunnel accident data set corresponding to each key risk type;

[0070] Construct a tunnel operation accident risk association network, identify the sub-tunnel accident data set based on the tunnel operation accident risk association network, and determine the different risk factors in tunnel operation risks;

[0071] Extract key risk factors from different risk factors and build a risk assessment indicator system based on the key risk factors;

[0072] Obtain the weight information of each risk assessment indicator in the risk assessment indicator system, and build a tunnel operation risk assessment model based on the weight information;

[0073] The dynamic simulation results are input into the tunnel operation risk assessment model for comprehensive tunnel risk assessment, and the assessment results are output.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] By constructing an embedded three-dimensional geological model and dynamically simulating the real-time parameters of the tunnel in the embedded three-dimensional geological model, it is convenient to have an intuitive and effective understanding of the real-time geological conditions of the tunnel. Secondly, a tunnel operation risk assessment model is constructed, and the dynamic simulation results are analyzed to achieve a comprehensive assessment of tunnel risks, ensuring the comprehensiveness and accuracy of tunnel risk assessment. Finally, the comprehensive assessment results of tunnel risks are visualized in the embedded three-dimensional geological model, which is convenient for effectively understanding the specific situation of tunnel risks, so as to facilitate timely and effective measures for emergency response, greatly improving the effect of tunnel risk assessment.

[0076] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0077] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0079] Figure 1 It is a structural diagram of a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model in an embodiment of the present invention;

[0080] Figure 2 It is a structural diagram of a tunnel risk comprehensive assessment module in a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model in an embodiment of the present invention;

[0081] Figure 3 It is a flow chart of a method for comprehensive assessment of tunnel risks based on an embedded three-dimensional geological model in an embodiment of the present invention;

[0082] Figure 4 It is a technical circuit flow chart of a tunnel risk comprehensive assessment module in a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model in an embodiment of the present invention. DETAILED DESCRIPTION

[0083] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0084] Embodiment 1:

[0085] This embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model. Figure 1 As shown, including:

[0086] Dynamic simulation module, used to construct an embedded 3D geological model and dynamically simulate the real-time parameters of the tunnel in the embedded 3D geological model;

[0087] Tunnel risk comprehensive assessment module, used to build a tunnel operation risk assessment model and input dynamic simulation results into the tunnel operation risk assessment model for tunnel risk comprehensive assessment;

[0088] The visualization display module is used to visualize the comprehensive assessment results of tunnel risks in the embedded three-dimensional geological model.

[0089] In this embodiment, the embedded three-dimensional geological model is a three-dimensional visualization and digital expression of a geological body constructed using computer technology, which presents geological information, such as strata, structures, rocks, etc., in a three-dimensional form.

[0090] In this embodiment, the real-time parameters of the tunnel may be parameters such as real-time structural parameters of the tunnel and changes in the internal structure.

[0091] In this embodiment, the dynamic simulation may be to display the real-time parameters of the tunnel in the embedded three-dimensional geological model, so as to facilitate effective understanding of the geological conditions of the tunnel through the embedded three-dimensional geological model.

[0092] In this embodiment, the tunnel operation risk assessment model may be a tool for identifying and determining the risk types and risk factors existing in the tunnel.

[0093] In this embodiment, the comprehensive assessment of tunnel risk may be to assess the risk factors and risk levels existing in the tunnel according to risk assessment indicators.

[0094] The working principle and beneficial effects of the above technical solution are: by constructing an embedded three-dimensional geological model and dynamically simulating the real-time parameters of the tunnel in the embedded three-dimensional geological model, it is convenient to intuitively and effectively understand the real-time geological conditions of the tunnel. Secondly, a tunnel operation risk assessment model is constructed, and the dynamic simulation results are analyzed to achieve a comprehensive assessment of tunnel risks, thereby ensuring the comprehensiveness and accuracy of tunnel risk assessment. Finally, the comprehensive assessment results of tunnel risks are visualized in the embedded three-dimensional geological model, which is convenient for effectively understanding the specific situation of tunnel risks, thereby facilitating timely and effective measures for emergency response, greatly improving the effect of tunnel risk assessment.

[0095] Embodiment 2:

[0096] Based on Example 1, this example provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model. Figure 2 As shown in the figure, the tunnel risk comprehensive assessment module includes:

[0097] A data collection unit is used to collect tunnel accident data sets and input the tunnel accident data sets into a preset model to analyze the coupling mechanism of tunnel accident risks and determine the key risk types of tunnel operations;

[0098] A data partitioning unit is used to classify the key risk types of tunnel operations and obtain a sub-tunnel accident data set corresponding to each key risk type;

[0099] A risk factor determination unit is used to construct a tunnel operation accident risk association network, identify the sub-tunnel accident data set based on the tunnel operation accident risk association network, and determine different risk factors in the tunnel operation risk;

[0100] The risk assessment indicator system construction unit is used to extract key risk factors from different risk factors and construct a risk assessment indicator system based on the key risk factors;

[0101] A tunnel operation risk assessment model building unit is used to obtain weight information of various risk assessment indicators in the risk assessment indicator system and build a tunnel operation risk assessment model according to the weight information;

[0102] The simulation unit is used to input the dynamic simulation results into the tunnel operation risk assessment model to conduct a comprehensive assessment of tunnel risks and output the assessment results.

[0103] In this embodiment, the preset model may be a NK model.

[0104] In this embodiment, the key risk type can be the main risk type that causes accidents among multiple risk types in the tunnel. For example, the risk types include: minor damage to interior decoration, minor failures of individual equipment (some minor problems that do not affect the operation of the overall system), geological disaster risks, water leakage risks, fire risks, etc. The main risk types that cause accidents are: geological disaster risks, water leakage risks, and fire risks, which are obtained by coupling analysis of tunnel accident data sets through the NK model.

[0105] In this embodiment, the coupling mechanism of accident risks in tunnel operation projects is studied through NK model analysis; the key risk types existing in tunnel operation are analyzed and studied, and then the different risk factors in tunnel operation risks are identified by building a relevant risk analysis network, and the key risk factors are extracted to build a risk assessment index system. The subjective weights of each indicator are determined by the application method, and the objective weights of each indicator are determined by the operation method. Based on the idea of ​​game theory, the subjective weights of each indicator are organically combined with the objective weights to obtain the comprehensive weights of each indicator, and a tunnel operation risk assessment model is constructed. The specific technical line process is as follows: Figure 4 shown.

[0106] The working principle and beneficial effects of the above technical solution are as follows: The coupling mechanism of accident risks in tunnel operation projects is studied through NK model analysis. The key risk types existing in tunnel operation are analyzed and studied, and then the different risk factors in tunnel operation risks are identified by building a relevant risk analysis network, and the key risk factors are extracted to build a risk assessment index system. The subjective weights of each indicator are determined by the application method, and the objective weights of each indicator are determined by the operation method. Based on the idea of ​​game theory, the subjective weights of each indicator are organically combined with the objective weights to obtain the comprehensive weights of each indicator, providing effective data reference for the prevention and control of urban gas pipeline construction accidents.

[0107] Embodiment 3:

[0108] Based on Example 2, this embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, wherein the risk factor determination unit includes:

[0109] A network construction subunit, used to construct a tunnel operation accident risk association network based on a preset method;

[0110] Identify subunits for:

[0111] The sub-tunnel accident data sets corresponding to each key risk type are respectively input into the tunnel operation accident risk association network for identification, and the target node of the sub-tunnel accident data set in the tunnel operation accident risk association network is determined;

[0112] Based on the tunnel operation accident risk association network, the risk factors corresponding to the target nodes are output, and the risk factors corresponding to each key risk type are determined based on the output results.

[0113] In this embodiment, the preset method is set in advance and is a strategy or mechanism for constructing a tunnel operation accident risk association network.

[0114] In this embodiment, the sub-tunnel accident data set may be tunnel accident data corresponding to different key risk types.

[0115] In this embodiment, the target node may be a specific node corresponding to the sub-tunnel accident data set in the tunnel operation accident risk association network.

[0116] The working principle and beneficial effects of the above technical solution are: by adopting a preset method to construct a tunnel operation accident risk association network, and inputting the sub-tunnel accident data sets corresponding to different key risk types into the tunnel operation accident risk association network for identification, ultimately achieving accurate and effective determination of the risk factors corresponding to each key risk type.

[0117] Embodiment 4:

[0118] Based on Example 2, this embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, and a risk assessment index system construction unit includes:

[0119] Key risk factor extraction subunit, used to:

[0120] Determine the degree and betweenness of different target nodes based on the tunnel operation accident risk association network;

[0121] Determine the importance of each risk factor based on the degree and betweenness of each target node;

[0122] Obtaining importance thresholds, and comparing the importance of the risk factors with the importance thresholds respectively;

[0123] According to the comparison results, risk factors corresponding to importance levels equal to or greater than the importance threshold are extracted from different risk factors as key risk factors;

[0124] The risk assessment indicator system construction sub-unit is used to quantify key risk factors, determine risk assessment indicators, and construct a risk assessment indicator system based on risk assessment indicators and key risk factors.

[0125] In this embodiment, the degree and betweenness of the target node can be: the node degree is the number of edges connected to a target node in the network, reflecting the degree of direct connection between the target node and other nodes; the betweenness is the number of shortest paths passing through a node in the network. Target nodes with higher betweenness often play an important intermediary or hub role in the network, and may have a greater impact on information flow, resource allocation, etc. in the network.

[0126] In this embodiment, the importance threshold is set in advance and is a standard for determining whether a risk factor is a key risk factor, and can be adjusted.

[0127] In this embodiment, quantification may be to concretize the values ​​of key risk factors, thereby achieving effective determination of risk assessment indicators.

[0128] The working principle and beneficial effects of the above technical solution are: to determine the degree and betweenness of different target nodes through the tunnel operation accident risk association network, to effectively lock the importance of different risk factors according to the degree and betweenness, and secondly, to accurately and effectively determine the key risk factors according to the ratio of the importance of different risk factors and the importance threshold, and finally, to quantify the key risk factors, to effectively construct the risk assessment indicator system according to the quantification results, so as to provide a guarantee for the comprehensive assessment of tunnel risks.

[0129] Embodiment 5:

[0130] Based on Example 2, this embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, and a tunnel operation risk assessment model construction unit includes:

[0131] A subjective weight determination subunit, used to determine the subjective weight of each risk assessment indicator in the risk assessment indicator system according to a first preset method;

[0132] An objective weight determination subunit, used to determine the objective weight of each risk assessment indicator in the risk assessment indicator system according to a second preset method;

[0133] The comprehensive weight determination subunit is used to:

[0134] Construct a basis vector group according to the subjective weight and objective weight of each risk assessment indicator;

[0135] Arbitrarily combine the weight vectors in the basis vector group to construct a weight vector set;

[0136] Constructing a preset objective function, and performing a differential operation on a weight vector in a weight vector set according to the preset objective function to determine an extreme value condition of the preset objective function;

[0137] The extreme value conditions are solved according to the weight vector, and the solution results are normalized to obtain the comprehensive weight of the risk assessment index;

[0138] The model training subunit is used to obtain the preset cloud model, train the preset cloud model according to the comprehensive weight, and build a tunnel operation risk assessment model based on the training results.

[0139] In this embodiment, the first preset method may be a fuzzy tomography analysis method.

[0140] In this embodiment, the second preset method may be an entropy weight method.

[0141] In this embodiment, the subjective weight may be the weight value of each risk assessment index in the risk assessment index system determined by the fuzzy tomography analysis method.

[0142] In this embodiment, the objective weight may be the weight value of each risk assessment indicator in the risk assessment indicator system determined by the entropy weight method.

[0143] In this embodiment, the basis vector group may be a linearly independent vector combination constructed by the evaluation index weights, and any vector in the linear space may be linearly represented by this group of vectors.

[0144] In this embodiment, the weight vector set may be a result obtained by combining the weight vectors in the basis vector group.

[0145] In this embodiment, the preset objective function may be a differential function, which is used to perform differential processing on the weight vector.

[0146] In this embodiment, the extreme value condition may be a convergence condition of a preset objective function obtained by performing a differential operation of the preset objective function on the weight vectors in the weight vector set.

[0147] In this embodiment, the preset cloud model is set in advance and is a model framework for building a tunnel operation risk assessment model.

[0148] The working principle and beneficial effects of the above technical scheme are: by determining the subjective weights and objective weights of each risk assessment indicator, the basis vector group is accurately and effectively constructed according to the subjective weights and objective weights, and the weight vector set is effectively determined through the weight vector. Secondly, a preset objective function is constructed, and the weight vector in the weight vector set is differentiated through the preset objective function to effectively determine the extreme value conditions of the preset objective function. Finally, the extreme value conditions are solved to lock the comprehensive weights of the risk assessment indicators, and the obtained preset cloud model is trained according to the comprehensive weights of the risk assessment indicators, and finally the tunnel operation risk assessment model is accurately and reliably constructed, thereby ensuring the accuracy and effect of the comprehensive assessment of tunnel risks.

[0149] Embodiment 6:

[0150] Based on Example 5, this embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, wherein the model training subunit includes:

[0151] A first training subunit, configured to perform first parameter training on a preset cloud model by using the evaluation index and the comprehensive weight of the evaluation index as training elements;

[0152] The second training subunit is used to calculate the cloud membership of the evaluation indicator, determine the risk level corresponding to the evaluation indicator according to the calculation result, and perform second parameter training on the preset cloud model according to the risk level;

[0153] A tunnel operation risk assessment model acquisition subunit is used to obtain a tunnel operation risk assessment model according to the first parameter training result and the second parameter training result;

[0154] Trustworthy Assessment Subunit, used to:

[0155] After obtaining the tunnel operation risk assessment model, the credibility of the tunnel operation risk assessment model is calculated, and at the same time, a credibility threshold is obtained;

[0156] Compare the credibility of the tunnel operation risk assessment model with the credibility threshold to determine whether the assessment result of the tunnel operation risk assessment model is credible;

[0157] When the credibility of the tunnel operation risk assessment model is less than or equal to the credibility threshold, the assessment result of the tunnel operation risk assessment model is determined to be unreliable;

[0158] Otherwise, the assessment result of the tunnel operation risk assessment model is determined to be credible;

[0159] The alarm report generating subunit is used to generate an alarm report when the assessment result of the tunnel operation risk assessment model is unreliable, and transmit the alarm report to the user terminal.

[0160] In this embodiment, the first parameter training may be to train the preset cloud model according to the evaluation index and the comprehensive weight of the evaluation index.

[0161] In this embodiment, the cloud membership may represent the degree to which the evaluation indicator belongs to the comprehensive assessment of tunnel risks.

[0162] In this embodiment, the credibility threshold is set in advance.

[0163] The working principle and beneficial effects of the above technical solution are: by performing first parameter training and second parameter training on the preset cloud model, the tunnel operation risk assessment model can be accurately and effectively constructed; secondly, the credibility of the tunnel operation risk assessment model is analyzed to accurately and effectively determine whether the tunnel operation risk assessment model is credible, thereby ensuring the effectiveness and reliability of the tunnel operation risk assessment model.

[0164] Embodiment 7:

[0165] Based on Example 1, this embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, and a dynamic simulation module, including:

[0166] Model building unit for:

[0167] Determine the required geological data category based on the requirements for building a three-dimensional geological model, and scan the tunnel based on the required geological data category to obtain multi-dimensional geological data of the tunnel;

[0168] Dimension splitting is performed on multi-dimensional geological data, and based on the dimension splitting result, data traversal is performed on the geological data in each dimension to obtain abnormal data of the geological data in each dimension;

[0169] Clean the abnormal data of geological data in each dimension, and normalize the geological data in each dimension according to the requirements of building a three-dimensional geological model based on the cleaning results to obtain standard multi-dimensional geological data;

[0170] Extracting geological representation objects of each standard dimension of geological data in the standard multidimensional geological data respectively, and determining structural features of each geological representation object based on sample representation of each standard dimension of geological data;

[0171] Divide the tunnel into strata based on the geological characterization objects, and determine the structural correlation between different strata according to the structural characteristics of each geological characterization object;

[0172] An embedded three-dimensional geological model of the tunnel is constructed based on a computer according to the structural characteristics of each geological representation object and the structural correlation between different strata, and a data interaction interface is reserved for the embedded three-dimensional geological model;

[0173] Dynamic simulation unit for:

[0174] Receive the real-time parameters of the tunnel based on the data interaction interface, analyze the real-time parameters, and determine the location nodes and update parameters for updating the embedded three-dimensional geological model;

[0175] Based on the location nodes and updated parameters, the real-time parameters of the tunnel are dynamically simulated in the embedded 3D geological model.

[0176] In this embodiment, the requirements for constructing the three-dimensional geological model are known in advance and are used to characterize the standards for constructing the three-dimensional geological model.

[0177] In this embodiment, the multi-dimensional geological data may be data information corresponding to a corresponding data category obtained after scanning the tunnel accordingly according to the required geological data category.

[0178] In this embodiment, the abnormal data may be data with abnormal values ​​or missing data in the geological data in each dimension obtained by traversing the geological data in each dimension.

[0179] In this embodiment, the standard multi-dimensional geological data may be the result obtained by unifying the values ​​of the cleaned geological data.

[0180] In this embodiment, the geological representation object may be geological information represented by each standard dimensional data, for example, the structure of a geological layer.

[0181] In this embodiment, the sample representation may be the specific data components of each standard dimension of geological data and the corresponding value distribution.

[0182] In this embodiment, the structural feature may be a specific structural condition corresponding to each geological representation object.

[0183] In this embodiment, the data interaction interface may be an interface for data interaction of the embedded three-dimensional geological model, and an interface for receiving external data and outputting internal data.

[0184] In this embodiment, the location node may be a location where the embedded three-dimensional geological model needs to be updated, determined according to real-time parameters of the tunnel.

[0185] In this embodiment, the update parameter may be a parameter representing a specific update degree corresponding to the model update of the updated location node.

[0186] The working principle and beneficial effects of the above technical solution are: by determining the required geological data category according to the requirements for building a three-dimensional geological model, the tunnel is scanned according to the required geological data category, and the multi-dimensional geological data of the tunnel is accurately and effectively determined. Secondly, the obtained multi-dimensional geological data is split and analyzed to achieve effective cleaning and normalization of the multi-dimensional geological data. At the same time, the standard dimensional geological data obtained after processing is used to effectively determine the structural characteristics of the geological representation object and the structural correlation between different strata, thereby achieving effective construction of the embedded three-dimensional geological model. Finally, the real-time parameters of the tunnel are analyzed through the reserved data interaction interface of the embedded three-dimensional geological model, and the position nodes and update parameters of the embedded three-dimensional geological model are locked, and finally the real-time parameters of the tunnel are dynamically simulated in the embedded three-dimensional geological model according to the position nodes and update parameters.

[0187] Embodiment 8:

[0188] Based on Example 1, this embodiment provides a tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, and a visualization display module, including:

[0189] A result acquisition unit is used to acquire the tunnel risk comprehensive assessment result, read the tunnel risk comprehensive assessment result, and determine the distribution characteristics of the risk location points in the tunnel;

[0190] At the same time, based on the comprehensive assessment results of tunnel risks, the risk factors and corresponding risk levels of each risk location point are determined, and the risk location points, the risk factors of each risk location point and the corresponding risk level are marked with difference marks;

[0191] Based on the distribution characteristics of risky locations of the tunnel, the difference markers are mapped and marked in the embedded three-dimensional geological model, and the mapping and marking results are visualized based on the embedded three-dimensional geological model.

[0192] In this embodiment, the distribution feature may be the specific location distribution of risky location points in the tunnel.

[0193] In this embodiment, the difference marking identifier may be an identifier for distinguishing different risk locations, the risk factors of each risk location, and the corresponding risk levels.

[0194] In this embodiment, the mapping mark may be to use the generated difference mark identifier to mark the risk location point, the risk factor of each risk location point and the corresponding risk level in the embedded three-dimensional geological model.

[0195] The working principle and beneficial effects of the above technical solution are: by reading the results of the comprehensive assessment of tunnel risk, the distribution characteristics of the risk location points in the tunnel can be accurately and effectively determined; secondly, the risk factors and corresponding risk levels of each risk location point are determined according to the results of the comprehensive assessment of tunnel risk, and differential markings are generated according to the risk location points, the risk factors of each risk location point and the corresponding risk levels; finally, the differential markings are mapped and marked in the embedded three-dimensional geological model according to the distribution characteristics of the risk location points, so as to realize the visualization of the final assessment results, thereby improving the effectiveness and reliability of the comprehensive assessment of tunnel risks.

[0196] Embodiment 9:

[0197] This embodiment provides a comprehensive tunnel risk assessment method based on an embedded three-dimensional geological model. Figure 1 As shown, including:

[0198] Step 1: construct an embedded 3D geological model and dynamically simulate the real-time parameters of the tunnel in the embedded 3D geological model;

[0199] Step 2: Construct a tunnel operation risk assessment model and input the dynamic simulation results into the tunnel operation risk assessment model to conduct a comprehensive assessment of tunnel risks;

[0200] Step 3: Visualize the comprehensive tunnel risk assessment results in the embedded 3D geological model.

[0201] The working principle and beneficial effects of the above technical solution are: by constructing an embedded three-dimensional geological model and dynamically simulating the real-time parameters of the tunnel in the embedded three-dimensional geological model, it is convenient to intuitively and effectively understand the real-time geological conditions of the tunnel. Secondly, a tunnel operation risk assessment model is constructed, and the dynamic simulation results are analyzed to achieve a comprehensive assessment of tunnel risks, thereby ensuring the comprehensiveness and accuracy of tunnel risk assessment. Finally, the comprehensive assessment results of tunnel risks are visualized in the embedded three-dimensional geological model, which is convenient for effectively understanding the specific situation of tunnel risks, thereby facilitating timely and effective measures for emergency response, greatly improving the effect of tunnel risk assessment.

[0202] Embodiment 10:

[0203] On the basis of Example 9, this embodiment provides a method for comprehensive assessment of tunnel risks based on an embedded three-dimensional geological model. In step 2, a tunnel operation risk assessment model is constructed, and the dynamic simulation results are input into the tunnel operation risk assessment model for comprehensive assessment of tunnel risks, including:

[0204] Collect tunnel accident data sets and input them into the preset model to analyze the coupling mechanism of tunnel accident risks and determine the key risk types of tunnel operations;

[0205] Classify the key risk types of tunnel operations and obtain the sub-tunnel accident data set corresponding to each key risk type;

[0206] Construct a tunnel operation accident risk association network, identify the sub-tunnel accident data set based on the tunnel operation accident risk association network, and determine the different risk factors in tunnel operation risks;

[0207] Extract key risk factors from different risk factors and build a risk assessment indicator system based on the key risk factors;

[0208] Obtain the weight information of each risk assessment indicator in the risk assessment indicator system, and build a tunnel operation risk assessment model based on the weight information;

[0209] The dynamic simulation results are input into the tunnel operation risk assessment model for comprehensive tunnel risk assessment, and the assessment results are output.

[0210] In this embodiment, the preset model may be a NK model.

[0211] In this embodiment, the key risk type can be the main risk type that causes accidents among multiple risk types in the tunnel. For example, the risk types include: minor damage to interior decoration, minor failures of individual equipment (some minor problems that do not affect the operation of the overall system), geological disaster risks, water leakage risks, fire risks, etc. The main risk types that cause accidents are: geological disaster risks, water leakage risks, and fire risks, which are obtained by coupling analysis of tunnel accident data sets through the NK model.

[0212] In this embodiment, the coupling mechanism of accident risk in tunnel operation engineering is studied through NK model analysis; the key risk types existing in tunnel operation are analyzed and studied, and then the different risk factors in tunnel operation risk are identified by building a relevant risk analysis network, and the key risk factors are extracted to build a risk assessment index system. The subjective weight of each indicator is determined by the application method, and the objective weight of each indicator is determined by the operation method. Based on the idea of ​​game theory, the subjective weight of each indicator is organically combined with the objective weight to obtain the comprehensive weight of each indicator, and a tunnel operation risk assessment model is constructed.

[0213] The working principle and beneficial effects of the above technical solution are as follows: The coupling mechanism of accident risks in tunnel operation projects is studied through NK model analysis. The key risk types existing in tunnel operation are analyzed and studied, and then the different risk factors in tunnel operation risks are identified by building a relevant risk analysis network, and the key risk factors are extracted to build a risk assessment index system. The subjective weights of each indicator are determined by the application method, and the objective weights of each indicator are determined by the operation method. Based on the idea of ​​game theory, the subjective weights of each indicator are organically combined with the objective weights to obtain the comprehensive weights of each indicator, providing effective data reference for the prevention and control of urban gas pipeline construction accidents.

[0214] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model, characterized in that: include: Dynamic simulation module, used to construct an embedded 3D geological model and dynamically simulate the real-time parameters of the tunnel in the embedded 3D geological model; Tunnel risk comprehensive assessment module, used to build a tunnel operation risk assessment model and input dynamic simulation results into the tunnel operation risk assessment model for tunnel risk comprehensive assessment; The visualization display module is used to visualize the comprehensive assessment results of tunnel risks in the embedded three-dimensional geological model.

2. A tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model according to claim 1, characterized in that: Tunnel risk comprehensive assessment module, including: A data collection unit is used to collect tunnel accident data sets and input the tunnel accident data sets into a preset model to analyze the coupling mechanism of tunnel accident risks and determine the key risk types of tunnel operations; A data partitioning unit is used to classify the key risk types of tunnel operations and obtain a sub-tunnel accident data set corresponding to each key risk type; A risk factor determination unit is used to construct a tunnel operation accident risk association network, identify the sub-tunnel accident data set based on the tunnel operation accident risk association network, and determine different risk factors in the tunnel operation risk; The risk assessment indicator system construction unit is used to extract key risk factors from different risk factors and construct a risk assessment indicator system based on the key risk factors; A tunnel operation risk assessment model building unit is used to obtain weight information of various risk assessment indicators in the risk assessment indicator system and build a tunnel operation risk assessment model according to the weight information; The simulation unit is used to input the dynamic simulation results into the tunnel operation risk assessment model to conduct a comprehensive assessment of tunnel risks and output the assessment results.

3. A tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model according to claim 2, characterized in that: Risk factor determination unit, including: A network construction subunit, used to construct a tunnel operation accident risk association network based on a preset method; Identify subunits for: The sub-tunnel accident data sets corresponding to each key risk type are respectively input into the tunnel operation accident risk association network for identification, and the target node of the sub-tunnel accident data set in the tunnel operation accident risk association network is determined; Based on the tunnel operation accident risk association network, the risk factors corresponding to the target nodes are output, and the risk factors corresponding to each key risk type are determined based on the output results.

4. The tunnel risk comprehensive assessment system based on embedded three-dimensional geological model according to claim 2, characterized in that: The risk assessment indicator system construction unit includes: Key risk factor extraction subunit, used to: Determine the degree and betweenness of different target nodes based on the tunnel operation accident risk association network; Determine the importance of each risk factor based on the degree and betweenness of each target node; Obtaining importance thresholds, and comparing the importance of the risk factors with the importance thresholds respectively; According to the comparison results, risk factors corresponding to importance levels equal to or greater than the importance threshold are extracted from different risk factors as key risk factors; The risk assessment indicator system construction sub-unit is used to quantify key risk factors, determine risk assessment indicators, and construct a risk assessment indicator system based on risk assessment indicators and key risk factors.

5. The tunnel risk comprehensive assessment system based on embedded three-dimensional geological model according to claim 2, characterized in that: Tunnel operation risk assessment model building unit, including: A subjective weight determination subunit, used to determine the subjective weight of each risk assessment indicator in the risk assessment indicator system according to a first preset method; An objective weight determination subunit, used to determine the objective weight of each risk assessment indicator in the risk assessment indicator system according to a second preset method; The comprehensive weight determination subunit is used to: Construct a basis vector group according to the subjective weight and objective weight of each risk assessment indicator; Arbitrarily combine the weight vectors in the basis vector group to construct a weight vector set; Constructing a preset objective function, and performing a differential operation on a weight vector in a weight vector set according to the preset objective function to determine an extreme value condition of the preset objective function; The extreme value conditions are solved according to the weight vector, and the solution results are normalized to obtain the comprehensive weight of the risk assessment index; The model training subunit is used to obtain the preset cloud model, train the preset cloud model according to the comprehensive weight, and build a tunnel operation risk assessment model based on the training results.

6. A tunnel risk comprehensive assessment system based on an embedded three-dimensional geological model according to claim 5, characterized in that: Model training subunit, including: A first training subunit, configured to perform first parameter training on a preset cloud model by using the evaluation index and the comprehensive weight of the evaluation index as training elements; The second training subunit is used to calculate the cloud membership of the evaluation indicator, determine the risk level corresponding to the evaluation indicator according to the calculation result, and perform second parameter training on the preset cloud model according to the risk level; A tunnel operation risk assessment model acquisition subunit is used to obtain a tunnel operation risk assessment model according to the first parameter training result and the second parameter training result; Trustworthy Assessment Subunit, used to: After obtaining the tunnel operation risk assessment model, the credibility of the tunnel operation risk assessment model is calculated, and at the same time, a credibility threshold is obtained; Compare the credibility of the tunnel operation risk assessment model with the credibility threshold to determine whether the assessment result of the tunnel operation risk assessment model is credible; When the credibility of the tunnel operation risk assessment model is less than or equal to the credibility threshold, the assessment result of the tunnel operation risk assessment model is determined to be unreliable; Otherwise, the assessment result of the tunnel operation risk assessment model is determined to be credible; The alarm report generating subunit is used to generate an alarm report when the assessment result of the tunnel operation risk assessment model is unreliable, and transmit the alarm report to the user terminal.

7. The tunnel risk comprehensive assessment system based on embedded three-dimensional geological model according to claim 1, characterized in that: Dynamic simulation module, including: Model building unit for: Determine the required geological data category based on the requirements for building a three-dimensional geological model, and scan the tunnel based on the required geological data category to obtain multi-dimensional geological data of the tunnel; Dimension splitting is performed on multi-dimensional geological data, and based on the dimension splitting result, data traversal is performed on the geological data in each dimension to obtain abnormal data of the geological data in each dimension; Clean the abnormal data of geological data in each dimension, and normalize the geological data in each dimension according to the requirements of building a three-dimensional geological model based on the cleaning results to obtain standard multi-dimensional geological data; Extracting geological representation objects of each standard dimension of geological data in the standard multidimensional geological data respectively, and determining structural features of each geological representation object based on sample representation of each standard dimension of geological data; Divide the tunnel into strata based on the geological characterization objects, and determine the structural correlation between different strata according to the structural characteristics of each geological characterization object; An embedded three-dimensional geological model of the tunnel is constructed based on a computer according to the structural characteristics of each geological representation object and the structural correlation between different strata, and a data interaction interface is reserved for the embedded three-dimensional geological model; Dynamic simulation unit for: Receive the real-time parameters of the tunnel based on the data interaction interface, analyze the real-time parameters, and determine the location nodes and update parameters for updating the embedded three-dimensional geological model; Based on the location nodes and updated parameters, the real-time parameters of the tunnel are dynamically simulated in the embedded 3D geological model.

8. The tunnel risk comprehensive assessment system based on embedded three-dimensional geological model according to claim 1, characterized in that: Visual display module, including: A result acquisition unit is used to acquire the tunnel risk comprehensive assessment result, read the tunnel risk comprehensive assessment result, and determine the distribution characteristics of the risk location points in the tunnel; At the same time, based on the comprehensive assessment results of tunnel risks, the risk factors and corresponding risk levels of each risk location point are determined, and the risk location points, the risk factors of each risk location point and the corresponding risk level are marked with difference marks; Based on the distribution characteristics of risky locations of the tunnel, the difference markers are mapped and marked in the embedded three-dimensional geological model, and the mapping and marking results are visualized based on the embedded three-dimensional geological model.

9. A comprehensive tunnel risk assessment method based on an embedded three-dimensional geological model, characterized in that: include: Step 1: construct an embedded 3D geological model and dynamically simulate the real-time parameters of the tunnel in the embedded 3D geological model; Step 2: Construct a tunnel operation risk assessment model and input the dynamic simulation results into the tunnel operation risk assessment model to conduct a comprehensive assessment of tunnel risks; Step 3: Visualize the comprehensive tunnel risk assessment results in the embedded 3D geological model.

10. A tunnel risk comprehensive assessment method based on an embedded three-dimensional geological model according to claim 9, characterized in that: In step 2, a tunnel operation risk assessment model is constructed, and the dynamic simulation results are input into the tunnel operation risk assessment model for comprehensive tunnel risk assessment, including: Collect tunnel accident data sets and input them into the preset model to analyze the coupling mechanism of tunnel accident risks and determine the key risk types of tunnel operations; Classify the key risk types of tunnel operations and obtain the sub-tunnel accident data set corresponding to each key risk type; Construct a tunnel operation accident risk association network, identify the sub-tunnel accident data set based on the tunnel operation accident risk association network, and determine the different risk factors in tunnel operation risks; Extract key risk factors from different risk factors and build a risk assessment indicator system based on the key risk factors; Obtain the weight information of each risk assessment indicator in the risk assessment indicator system, and build a tunnel operation risk assessment model based on the weight information; The dynamic simulation results are input into the tunnel operation risk assessment model for comprehensive tunnel risk assessment, and the assessment results are output.

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