A highway tunnel construction safety early warning method and system

Abstract

The application is suitable for the field of highway construction, and provides a highway tunnel construction safety early warning method and system, the method comprises the following steps: collecting real-time deformation data and historical deformation data of the building structure in the targeted tunnel construction process; obtaining stratum information where the targeted tunnel is located; constructing a tunnel strain field distribution prediction model based on the historical deformation data of the building structure; calculating a deformation control index threshold based on the stratum information where the targeted tunnel is located and the historical deformation data of the building structure; predicting the deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold; sending early warning prompt information based on the deviation trend of the building structure, and comprehensively monitoring and accurately predicting the targeted tunnel construction. Through real-time data collection and analysis, potential safety hazards can be found in advance, and the construction safety can be greatly improved. The model is constructed and the threshold is calculated, which provides a scientific and quantitative basis for construction and helps to improve the construction quality.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of highway construction, and particularly relates to a highway tunnel construction safety early warning method and system. BACKGROUND

[0002] At present, the construction scale and quantity of highway tunnels continue to rise with the vigorous development of traffic infrastructure construction in China. However, tunnel construction faces many safety challenges due to complex working environment, high construction difficulty, and concentration of personnel and equipment. From the geological aspect, the tunnel passes through different strata and may encounter faults, fracture zones, water inrush, and gas, etc. The limitations of geological survey make it difficult to accurately grasp the subtle geological changes, thereby causing accidents such as water inrush to flood the construction area, endangering personnel safety and damaging equipment, etc. In terms of construction environment, the space in the tunnel is closed, and the ventilation and lighting are poor. In addition, the construction process involves blasting, excavation, support, and lining, etc. Any mistake in any link may cause serious accidents.

[0003] At present, the existing safety early warning methods have obvious shortcomings and cannot realize real-time and comprehensive monitoring of various safety hazards in tunnel construction. It is also difficult to accurately assess potential risks and provide timely early warning. Poor information communication may delay the response to emergency situations. Therefore, it is urgent to develop an efficient, accurate and comprehensive safety early warning method for highway tunnel construction, which is of great significance to ensure construction safety and improve construction efficiency. SUMMARY

[0004] The purpose of the present application is to provide a highway tunnel construction safety early warning method and system to solve the problems raised in the background.

[0005] The present application is implemented in the following way. On the one hand, a highway tunnel construction safety early warning method, the method comprising:

[0006] Collecting real-time deformation data and historical deformation data of the building structure in the targeted tunnel construction process;

[0007] Obtaining stratum information where the targeted tunnel is located, the stratum types including composite stratified stratum, water-rich soft stratum, and complex mountain stratum;

[0008] Based on the historical deformation data of the building structure, a tunnel strain field distribution prediction model is constructed;

[0009] Based on the stratum information where the targeted tunnel is located and the historical deformation data of the building structure, a deformation control index threshold is calculated;

[0010] Based on the tunnel strain field distribution model and the deformation control index threshold, the deviation trend of the building structure is predicted;

[0011] Send a warning prompt message based on the deviation trend of the building structure.

[0012] As a further scheme of the present application, the obtaining of the stratum information where the targeted tunnel is located specifically comprises:

[0013] Import the engineering survey report;

[0014] Retrieve and record the interlayer shear stiffness reduction coefficient of the associated composite stratified stratum in the engineering survey report;

[0015] Retrieve and record the permeability coefficient of the associated water-rich weak stratum in the engineering survey report;

[0016] Retrieve and record the topographic slope correction coefficient of the associated complex mountain stratum in the engineering survey report.

[0017] As a further scheme of the present application, the construction of the tunnel strain field distribution prediction model based on the historical deformation data of the building structure specifically comprises:

[0018] Extracting multi-dimensional historical parameters in the historical deformation data of the building structure, the multi-dimensional historical parameters including elastic modulus, Poisson's ratio, stratum elastic modulus, soil cohesion, and internal friction angle;

[0019] Based on the finite element analysis method and the multi-dimensional historical parameters, a tunnel strain field distribution prediction model is constructed.

[0020] As a further scheme of the present application, the calculation of the deformation control index threshold based on the stratum information where the targeted tunnel is located and the historical deformation data of the building structure specifically comprises:

[0021] Importing the interlayer shear stiffness reduction coefficient and the multi-dimensional historical parameters into the selected layered medium mechanics model, and using the finite difference method to calculate the stress distribution values at the interfaces of different rock-soil layers;

[0022] Based on the stress distribution values at the interfaces of different rock-soil layers, the deformation control index threshold of the allowable relative displacement at the interfaces of different rock-soil layers is determined;

[0023] Importing the permeability coefficient and the multi-dimensional historical parameters into the selected soil rheological mechanics model, and using the numerical simulation method to generate the deformation values of the soil at different time stages;

[0024] Based on the deformation values of the soil at different time stages, the deformation control index threshold of the allowable deformation rate of the soil is determined;

[0025] Importing the topographic slope correction coefficient and the multi-dimensional historical parameters into the equivalent continuous medium model, and using the numerical simulation method to generate the stress values of the building structure in the complex mountain stratum;

[0026] Determine the deformation control standard threshold of the building structure including horizontal displacement, vertical displacement and inclination based on the stress value of the building structure in the complex mountain stratum.

[0027] As a further scheme of the present application, the tunnel strain field distribution model and the deformation control index threshold are used to predict the deviation trend of the building structure, which specifically includes:

[0028] Import the real-time deformation data of the building structure into the tunnel strain field distribution model to generate real-time stress-strain distribution values;

[0029] Calculate the difference between the real-time stress-strain distribution values and the deformation control index threshold;

[0030] Using time series analysis method, analyze the difference between the real-time stress-strain distribution values and the deformation control index threshold;

[0031] Based on the analysis result of the time series analysis method, judge whether the real-time stress-strain distribution values exceed the deformation control index threshold.

[0032] As a further scheme of the present application, on the other hand, a highway tunnel construction safety early warning system, the system includes:

[0033] The collection module is used for collecting real-time deformation data and historical deformation data of the building structure in the targeted tunnel construction process;

[0034] The acquisition module is used for acquiring stratum information of the targeted tunnel;

[0035] The stratum type includes composite layered stratum, water-rich soft stratum and complex mountain stratum;

[0036] The tunnel strain field distribution model module is used for constructing a tunnel strain field distribution model based on the historical deformation data of the building structure;

[0037] The calculation module is used for calculating the deformation control index threshold based on the stratum information of the targeted tunnel and the historical deformation data of the building structure;

[0038] The trend prediction module is used for predicting the deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold;

[0039] The early warning module is used for sending early warning prompt information based on the deviation trend of the building structure.

[0040] As a further scheme of the present application, the acquisition module specifically includes:

[0041] The import unit is used for importing the engineering survey report;

[0042] The first retrieving unit is used for retrieving and recording the interlayer shear stiffness reduction coefficient of the associated composite stratified stratum in the engineering survey report;

[0043] The second retrieving unit is used for retrieving and recording the permeability coefficient of the associated water-rich soft stratum in the engineering survey report;

[0044] The third retrieving unit is used for retrieving and recording the topographic slope correction coefficient of the associated complex mountain stratum in the engineering survey report.

[0045] As a further scheme of the present application, the trend prediction module specifically comprises:

[0046] The importing unit is used for importing the real-time deformation data of the building structure into the tunnel strain field distribution model;

[0047] The generating unit is used for generating the real-time value of the stress-strain distribution;

[0048] The calculating unit is used for calculating the difference between the real-time value of the stress-strain distribution and the deformation control index threshold value;

[0049] The difference analysis unit is used for analyzing the difference between the real-time value of the stress-strain distribution and the deformation control index threshold value by using the time series analysis method;

[0050] The judging unit is used for judging whether the real-time value of the stress-strain distribution exceeds the deformation control index threshold value based on the analysis result of the time series analysis method.

[0051] The present application provides a highway tunnel construction safety early warning method and system, which realizes comprehensive monitoring and accurate prediction of targeted tunnel construction. By real-time data collection and analysis, potential safety hazards can be detected in advance, greatly improving construction safety. The construction model and threshold value are calculated to provide scientific and quantitative basis for construction, which helps to improve construction quality. Timely early warning information can effectively prevent construction accidents. BRIEF DESCRIPTION OF DRAWINGS

[0052] Figure 1 It is a main flow chart of a highway tunnel construction safety early warning method.

[0053] Figure 2 It is a flow chart of obtaining stratum information of a targeted tunnel in a highway tunnel construction safety early warning method.

[0054] Figure 3 It is a flow chart of constructing a tunnel strain field distribution prediction model based on historical deformation data of a building structure in a highway tunnel construction safety early warning method.

[0055] Figure 4It is a flowchart for calculating a deformation control index threshold value based on stratum information where a target tunnel is located and historical deformation data of a building structure in a highway tunnel construction safety early warning method.

[0056] Figure 5 It is a flowchart for predicting a deviation trend of a building structure based on a tunnel strain field distribution model and a deformation control index threshold value in a highway tunnel construction safety early warning method.

[0057] Figure 6 It is a main structure diagram of a highway tunnel construction safety early warning system.

[0058] Figure 7 It is a structure block diagram of an acquisition module in a highway tunnel construction safety early warning system.

[0059] Figure 8 It is a structure block diagram of a trend prediction module in a highway tunnel construction safety early warning system. DETAILED DESCRIPTION

[0060] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0061] The specific implementation of the present application is described in detail below in combination with specific examples.

[0062] The present application provides a highway tunnel construction safety early warning method and system, which solves the technical problems in the background art.

[0063] As shown in Figure 1 FIG. 1 is a main flowchart of a highway tunnel construction safety early warning method provided by an embodiment of the present application, and the highway tunnel construction safety early warning method comprises the following steps.

[0064] Step S100: Collecting real-time deformation data of a building structure in a target tunnel construction process and historical deformation data of the building structure;

[0065] Step S200: Acquiring stratum information where the target tunnel is located;

[0066] The stratum types include composite stratified stratum, water-rich soft stratum and complex mountain stratum;

[0067] Step S300: Building a tunnel strain field distribution prediction model based on the historical deformation data of the building structure;

[0068] Step S400: Calculating a deformation control index threshold value based on the stratum information where the target tunnel is located and the historical deformation data of the building structure;

[0069] Step S500: predicting the deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold value;

[0070] Step S600: sending a warning prompt message based on the deviation trend of the building structure;

[0071] In application, the high-precision displacement sensor, total station and other professional equipment are used to monitor the building structure in real time to obtain real-time deformation data of the building structure during construction, which can accurately reflect the dynamic changes of the structure. At the same time, by sorting out the past construction records and archival materials, the historical deformation data of the building structure is collected comprehensively to provide rich historical references for subsequent analysis. When obtaining stratum information, for composite stratigraphic layer, the distribution and characteristics of different strata can be clearly distinguished; for water-rich soft stratum, the key parameters such as water content and soil strength can be accurately grasped; for complex mountain stratum, the terrain undulation and rock fragmentation degree can be understood in detail; based on the collected historical deformation data of the building structure, the finite element analysis professional algorithm is used to construct a tunnel strain field distribution prediction model. The model presents the stress concentration and dispersion state of different regions of the tunnel in an intuitive way, providing strong support for construction decision-making. Combined with stratum information, the deformation control index threshold value that meets the actual working condition is calculated according to the principles of elasticity and rock mechanics, so as to set a scientific and reasonable quantitative standard for construction safety; then the real-time collected deformation data of the building structure is continuously imported into the constructed tunnel strain field distribution prediction model, and the deformation control index threshold value is closely referred to, and the dynamic prediction algorithm is used to accurately predict the future deviation trend of the building structure. Once the deviation trend exceeds the pre-set safety range, the warning system will immediately send a warning prompt message to the construction personnel through various ways such as sound and light alarm, short message push, etc., so that the construction personnel can quickly take measures such as adjusting the construction process and strengthening the support.

[0072] As shown in Figure 2 , as a preferred embodiment of the present application, the stratum information of the target tunnel specifically includes:

[0073] Step S201: importing the engineering survey report;

[0074] Step S202: searching and recording the interlayer shear stiffness reduction coefficient associated with the composite stratigraphic layer in the engineering survey report;

[0075] Step S203: searching and recording the permeability coefficient associated with the water-rich soft stratum in the engineering survey report;

[0076] Step S204: searching and recording the terrain slope correction coefficient associated with the complex mountain stratum in the engineering survey report.

[0077] The embodiment is applied before engineering construction, detailed engineering survey is carried out, information is collected, an engineering survey report is generated, the engineering survey report is imported, and targeted data retrieval and recording work is carried out for different stratum types. For composite stratified stratum, because the mechanical properties of each rock and soil layer are greatly different, the interaction between layers is complex, so the interlayer shear stiffness reduction coefficient is mainly retrieved. The value range of the coefficient is usually 0.1-0.8, in the stratum where soft and hard rocks alternate and soft rock is thick and low in strength, the coefficient can be set to 0.3, which can effectively correct the interlayer interaction force in the layered medium mechanics model, and then be used to calculate the threshold value of the related deformation control index; in the water-rich soft stratum, because the underground water has a significant influence on the mechanical properties of the soil, the permeability coefficient becomes the key. The permeability coefficient of silty clay is 10 -6 -10 -4 cm / s, and the permeability coefficient of silt soil is 10 -8 -10 -6 cm / s. Combined with the rheological mechanics model of the soil, the key indicators such as the allowable deformation rate and the long-term deformation control value of the soil can be accurately calculated; for complex mountain stratum, the terrain slope correction coefficient is of great significance due to the influence of terrain undulation. According to the slope, the value range of the coefficient is different, for example, when the average slope is 20°, the coefficient is set to 1.3, which is used to consider the influence of terrain stress on stratum parameters in the equivalent continuous medium model to determine the tunnel deformation control standard threshold.

[0078] As shown in Figure 3 , as a preferred embodiment of the present application, the tunnel strain field distribution prediction model is constructed based on the historical deformation data of the building structure, which specifically comprises:

[0079] Step S301: extracting multi-dimensional historical parameters in the historical deformation data of the building structure;

[0080] The multi-dimensional historical parameters include elastic modulus, Poisson's ratio, stratum elastic modulus, soil cohesion, and internal friction angle;

[0081] Step S302: constructing a tunnel strain field distribution prediction model based on the finite element analysis method and based on the multi-dimensional historical parameters;

[0082] In the application of the present embodiment, the elastic modulus and Poisson's ratio can be obtained from the material test report, and the formation elastic modulus is determined by in-situ or indoor test according to the geological survey report. The soil cohesion and internal friction angle are derived from the soil physical and mechanical test in the engineering survey report. The tunnel strain field distribution prediction model is constructed based on the finite element analysis method. The software such as ANSYS, ABAQUS, FLAC3D, etc. is selected. The accurate geometric model is constructed according to the actual size, shape and geological conditions of the tunnel, and the grid is reasonably divided. The grid is densified in the area with large stress and strain changes, and vice versa. Then, the extracted multi-dimensional historical parameters are accurately input, and the prediction results can be output.

[0083] As shown in Figure 4 As a preferred embodiment of the present application, the calculation of the deformation control index threshold based on the stratum information and the historical deformation data of the building structure is specifically as follows:

[0084] Step S401: Import the interlayer shear stiffness reduction coefficient and the multi-dimensional historical parameters into the selected layered medium mechanics model, and calculate the stress distribution values at the interfaces of different rock-soil layers by using the finite difference method;

[0085] Step S402: Determine the deformation control index threshold of the allowable relative displacement at the interfaces of different rock-soil layers based on the stress distribution values at the interfaces of different rock-soil layers;

[0086] Step S403: Import the permeability coefficient and the multi-dimensional historical parameters into the selected soil rheological mechanics model, and generate the deformation values of the soil at different time stages by using the numerical simulation method;

[0087] Step S404: Determine the deformation control index threshold of the allowable deformation rate of the soil based on the deformation values of the soil at different time stages;

[0088] Step S405: Import the terrain slope correction coefficient and the multi-dimensional historical parameters into the equivalent continuous medium model, and generate the stress values of the building structure in the complex mountain stratum by using the numerical simulation method;

[0089] Step S406: Determine the building structure deformation control standard threshold including the horizontal displacement, vertical displacement and inclination based on the stress values of the building structure in the complex mountain stratum;

[0090] It should be understood that for a composite layered stratum, the interlayer shear stiffness reduction coefficient is first obtained from the engineering survey report and is imported into the layered medium mechanics model. The elastic modulus, Poisson's ratio and other mechanical parameters of each rock-soil layer are substituted into the model by using the finite difference method, and the stress distribution values at the interfaces of different rock-soil layers are calculated. Based on these stress distribution values, the deformation control index threshold of the allowable relative displacement at the interfaces of different rock-soil layers is determined according to the yield criterion of the material.

[0091] In the face of water-rich soft stratum, the permeability coefficient is extracted from the engineering survey report and introduced into the soil rheological mechanics model. The model fully considers the rheological properties of the soil, combines the parameters such as the cohesion, internal friction angle, and initial void ratio of the soil, and uses numerical simulation to analyze the changes in the effective stress of the soil caused by groundwater seepage, thereby generating the deformation values of the soil at different time stages. According to the requirements of the project for soil deformation, the deformation control index threshold of the allowable deformation rate of the soil is determined based on these deformation values.

[0092] In the construction of complex mountain strata, the terrain slope correction coefficient is retrieved from the engineering survey report and introduced into the equivalent continuous medium model. The model considers the influence of terrain undulations and geological structures on the mechanical properties of the strata, combines parameters such as the elastic modulus, Poisson's ratio, and ground stress of the strata, and generates stress values of the building structure in complex mountain strata through numerical simulation. According to the design requirements of the tunnel structure, the deformation control standard threshold of the building structure containing horizontal displacement, vertical displacement, and inclination is determined based on these stress values.

[0093] As shown in Figure 5 As a preferred embodiment of the present application, the prediction of the deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold specifically includes:

[0094] Step S501: Introduce the real-time deformation data of the building structure into the tunnel strain field distribution model to generate real-time stress-strain distribution values;

[0095] Step S502: Calculate the difference between the real-time stress-strain distribution values and the deformation control index threshold;

[0096] Step S503: Use time series analysis to analyze the difference between the real-time stress-strain distribution values and the deformation control index threshold;

[0097] Step S504: Based on the analysis results of the time series analysis, determine whether the real-time stress-strain distribution values exceed the deformation control index threshold;

[0098] In the application of the embodiment, first, the real-time deformation data of the building structure is introduced into the tunnel strain field distribution model to generate real-time stress and strain distribution values. In this process, if there is a difference between the model and the real-time data format, the model input interface needs to be adjusted and adapted. Then, the generated real-time stress and strain distribution values are compared with the deformation control index threshold of the corresponding stratum type, and the time series analysis method is used to analyze the comparison results. The ARIMA model in the time series analysis is used to model the difference between the real-time stress and strain values and the threshold at consecutive time points, to mine the change rule of the data over time, and to predict the development trend of the difference in the target period. Based on the analysis result of the time series analysis method, it is determined whether the real-time stress and strain distribution values exceed the deformation control index threshold. If the model predicts that the difference between the real-time stress and strain values and the threshold in a certain region will continuously increase and will exceed the allowed range, or has already exceeded the threshold, it is determined that the building structure has a deviation trend in the region. At this time, a warning needs to be sent in a timely manner so that the construction personnel can take corresponding measures such as reinforcement and adjustment of the construction process to ensure the safety of the tunnel construction. For the warning prompt information, warning messages can be sent to key personnel such as the tunnel construction project manager, technical supervisor, and safety management personnel through the short message platform, and sound and light alarms are set in the monitoring center and related dangerous areas of the tunnel construction site. Once the warning is triggered, the alarm immediately sends out strong sound and light signals to attract the attention of the on-site construction personnel, remind them to suspend the related dangerous operation, and take preliminary safety protection measures. The project management information system used in the tunnel construction is used to push the warning message to the related personnel accounts in the system. The warning information is displayed in a conspicuous way on the system interface, and the related personnel can view the detailed content by logging into the system, which facilitates them to conduct comprehensive analysis combined with other construction data in the system.

[0099] As Figure 6 shown, as another preferred embodiment of the application, in one aspect, a highway tunnel construction safety warning system, the system comprises:

[0100] The acquisition module 100 is used to acquire real-time deformation data and historical deformation data of the building structure in the targeted tunnel construction process.

[0101] The acquisition module 100 is used to acquire real-time deformation data and historical deformation data of the building structure in the targeted tunnel construction process.

[0102] The stratum types include composite layered stratum, water-rich soft stratum, and complex mountain stratum.

[0103] The tunnel strain field distribution model module 300 is used to construct a tunnel strain field distribution model based on the historical deformation data of the building structure.

[0104] The computing module 400 is configured to calculate the deformation control index threshold based on the stratum information of the targeted tunnel and the historical deformation data of the building structure.

[0105] The trend prediction module 500 is configured to predict the deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold.

[0106] The early warning module 600 is configured to send early warning prompt information based on the deviation trend of the building structure.

[0107] In the application of the embodiment, the collecting module 100 collects the real-time deformation data of the building structure in the construction process of the targeted tunnel and the historical deformation data of the building structure, the obtaining module 200 obtains the stratum information of the targeted tunnel, the tunnel strain field distribution model module 300 constructs the tunnel strain field distribution model based on the historical deformation data of the building structure, the computing module 400 calculates the deformation control index threshold based on the stratum information of the targeted tunnel and the historical deformation data of the building structure, the trend prediction module 500 predicts the deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold, and the early warning module 600 sends early warning prompt information based on the deviation trend of the building structure.

[0108] As shown in Figure 7 , as another preferred embodiment of the present application, the obtaining module 200 specifically includes:

[0109] The importing unit 201 is configured to import the engineering survey report.

[0110] The first retrieving unit 202 is configured to retrieve and record the interlayer shear stiffness reduction coefficient associated with the composite stratified stratum in the engineering survey report.

[0111] The second retrieving unit 203 is configured to retrieve and record the permeability coefficient associated with the water-rich weak stratum in the engineering survey report.

[0112] The third retrieving unit 204 is configured to retrieve and record the topographic slope correction coefficient associated with the complex mountain stratum in the engineering survey report.

[0113] In the application of the embodiment, the importing unit 201 imports the engineering survey report, the first retrieving unit 202 retrieves and records the interlayer shear stiffness reduction coefficient associated with the composite stratified stratum in the engineering survey report, the second retrieving unit 203 retrieves and records the permeability coefficient associated with the water-rich weak stratum in the engineering survey report, and the third retrieving unit 204 retrieves and records the topographic slope correction coefficient associated with the complex mountain stratum in the engineering survey report.

[0114] As shown in Figure 8 , as another preferred embodiment of the present application, the trend prediction module 500 specifically includes:

[0115] The import unit 501 is configured to import the real-time deformation data of the building structure into the tunnel strain field distribution model.

[0116] The generation unit 502 is configured to generate the real-time stress-strain distribution value.

[0117] The calculation unit 503 is configured to calculate the difference between the real-time stress-strain distribution value and the deformation control index threshold value.

[0118] The difference analysis unit 504 is configured to analyze the difference between the real-time stress-strain distribution value and the deformation control index threshold value by using the time series analysis method.

[0119] The judgment unit 505 is configured to judge whether the real-time stress-strain distribution value exceeds the deformation control index threshold value based on the analysis result of the time series analysis method.

[0120] In the application of the embodiment, the import unit 501 imports the real-time deformation data of the building structure into the tunnel strain field distribution model, the generation unit 502 generates the real-time stress-strain distribution value, the calculation unit 503 calculates the difference between the real-time stress-strain distribution value and the deformation control index threshold value, the difference analysis unit 504 analyzes the difference between the real-time stress-strain distribution value and the deformation control index threshold value by using the time series analysis method, and the judgment unit 505 judges whether the real-time stress-strain distribution value exceeds the deformation control index threshold value based on the analysis result of the time series analysis method.

[0121] The highway tunnel construction safety early warning method and system provided in the above embodiment of the application can realize comprehensive monitoring and accurate prediction of targeted tunnel construction. Through real-time data acquisition and analysis, potential safety hazards can be found in advance, and the construction safety can be greatly improved. The construction model and threshold value calculation provide scientific and quantitative basis for construction, which helps to improve the construction quality. Timely early warning information can effectively prevent construction accidents.

[0122] In order to enable the above method and system to run smoothly, the system can include more or less components than described above, or combine certain components, or different components, such as input and output devices, network access devices, buses, processors and memories, etc.

[0123] The processor can be a central processing unit, and can also be other general-purpose processors, digital signal processors, application-specific integrated circuits, ready programmable gate arrays or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The above processor is the control center of the system, and is connected with various parts through various interfaces and lines.

[0124] The technical features of the above-described embodiments can be combined in any manner. For the sake of brevity, not all possible combinations of the technical features in the above-described embodiments are described, however, as long as the combinations of the technical features do not result in contradictions, they shall be considered within the scope of the present disclosure.

[0125] The above-described embodiments only express several embodiments of the present application, which are described in a more specific and detailed manner. However, it should not be understood as a limitation on the scope of the patent of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, which shall be within the scope of protection of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

[0126] The above-described embodiments are only the preferred embodiments of the present application, and are not used to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application shall be included in the scope of protection of the present application.

Claims

1. A highway tunnel construction safety early warning method, characterized in that, The method comprises: Collecting real-time deformation data and historical deformation data of the building structure during targeted tunnel construction; Obtaining stratum information of the targeted tunnel, including composite stratified stratum, water-rich soft stratum, and complex mountain stratum; Based on the historical deformation data of the building structure, a tunnel strain field distribution prediction model is constructed; Based on the stratum information of the targeted tunnel and the historical deformation data of the building structure, a deformation control index threshold is calculated; Based on the tunnel strain field distribution model and the deformation control index threshold, the deviation trend of the building structure is predicted; Based on the deviation trend of the building structure, an early warning prompt is sent; The stratum information of the targeted tunnel is obtained, which specifically includes: Importing the engineering survey report; Retrieving and recording the interlayer shear stiffness reduction coefficient associated with the composite stratified stratum in the engineering survey report; Retrieving and recording the permeability coefficient associated with the water-rich soft stratum in the engineering survey report; Retrieving and recording the terrain slope correction coefficient associated with the complex mountain stratum in the engineering survey report; Based on the tunnel strain field distribution model and the deformation control index threshold, the deviation trend of the building structure is predicted, which specifically includes: Importing the real-time deformation data of the building structure into the tunnel strain field distribution model to generate real-time stress-strain distribution values; Calculating the difference between the real-time stress-strain distribution values and the deformation control index threshold; Using time series analysis method to analyze the difference between the real-time stress-strain distribution values and the deformation control index threshold; Based on the analysis result of the time series analysis method, it is judged whether the real-time stress-strain distribution values exceed the deformation control index threshold; Based on the stratum information of the targeted tunnel and the historical deformation data of the building structure, the deformation control index threshold is calculated, which specifically includes: Importing the interlayer shear stiffness reduction coefficient and multi-dimensional historical parameters into the selected layered medium mechanics model, and using the finite difference method to calculate the stress distribution values at the interfaces of different rock-soil layers; Based on the stress distribution values at the interfaces of different rock-soil layers, the deformation control index threshold of the allowable relative displacement at the interfaces of different rock-soil layers is determined; Importing the permeability coefficient and multi-dimensional historical parameters into the selected soil rheological mechanics model, and using the numerical simulation method to generate the deformation values of the soil at different time stages; Based on the deformation values of the soil at different time stages, the deformation control index threshold of the allowable deformation rate of the soil is determined; Importing the terrain slope correction coefficient and multi-dimensional historical parameters into the equivalent continuous medium model, and using the numerical simulation method to generate the stress values of the building structure in the complex mountain stratum; Based on the stress values of the building structure in the complex mountain stratum, the building structure deformation control standard threshold including horizontal displacement, vertical displacement and inclination is determined.

2. The highway tunnel construction safety early warning method according to claim 1, characterized in that, Based on the historical deformation data of the building structure, the tunnel strain field distribution prediction model is constructed, which specifically includes: Extracting multi-dimensional historical parameters from the historical deformation data of the building structure, including elastic modulus, Poisson's ratio, stratum elastic modulus, soil cohesion, and internal friction angle; Based on the finite element analysis method and based on the multi-dimensional historical parameters, a tunnel strain field distribution prediction model is constructed.

3. A highway tunnel construction safety early warning system, characterized in that, The highway tunnel construction safety early warning method according to any one of claims 1-2, the system comprises: The collection module is configured to collect real-time deformation data and historical deformation data of the building structure in the targeted tunnel construction process. The acquisition module is configured to acquire stratum information of the targeted tunnel. The stratum types include composite stratified stratum, water-rich soft stratum, and complex mountain stratum. The tunnel strain field distribution model module is configured to construct a tunnel strain field distribution model based on the historical deformation data of the building structure. The calculation module is configured to calculate a deformation control index threshold based on the stratum information of the targeted tunnel and the historical deformation data of the building structure. The trend prediction module is configured to predict a deviation trend of the building structure based on the tunnel strain field distribution model and the deformation control index threshold. The early warning module is configured to send an early warning prompt message based on the deviation trend of the building structure. The acquisition module specifically includes: The import unit is configured to import an engineering survey report. The first retrieval unit is configured to retrieve and record an interlayer shear stiffness reduction coefficient associated with the composite stratified stratum in the engineering survey report. The second retrieval unit is configured to retrieve and record a permeability coefficient associated with the water-rich soft stratum in the engineering survey report. The third retrieval unit is configured to retrieve and record a terrain slope correction coefficient associated with the complex mountain stratum in the engineering survey report.

4. The expressway tunnel construction safety early warning system according to claim 3, characterized in that, The trend prediction module specifically includes: The import unit is configured to import the real-time deformation data of the building structure into the tunnel strain field distribution model. The generation unit is configured to generate real-time stress-strain distribution values. The calculation unit is configured to calculate a difference between the real-time stress-strain distribution values and the deformation control index threshold. The difference analysis unit is configured to analyze the difference between the real-time stress-strain distribution values and the deformation control index threshold using a time series analysis method. The judgment unit is configured to determine whether the real-time stress-strain distribution values exceed the deformation control index threshold based on the analysis result of the time series analysis method.

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