A spatial force analysis and early warning method for underground construction engineering

Abstract

The present application provides a spatial force analysis and early warning method for underground construction projects, including: constructing support structure force monitoring data and surrounding rock monitoring data into multiple spatial force data sets corresponding to multiple vertical planes, generating temporal curve data and spatial effect curve data within the underground space range, generating a surrounding rock full-process deformation fitting curve corresponding to the underground space, the surrounding rock full-process deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances, according to the surrounding rock full-process deformation fitting curve and the preset excavation rate of the underground construction project, determining the surrounding rock deformation rate process curve, generating a surrounding rock deformation acceleration curve of the surrounding rock deformation acceleration changing with the engineering progress distance according to the surrounding rock deformation rate process curve, generating a surrounding rock deformation acceleration threshold according to the surrounding rock deformation acceleration curve, and generating early warning result information of the underground construction project based on the target excavation point. Thereby ensuring the safety of the underground construction project.

Description

Technical Field

[0001] The present application relates to the field of deep engineering safety technology, and specifically, to a spatial force analysis and early warning method for underground construction projects. Background Art

[0002] Tunnel surrounding rock deformation is an important parameter characterizing the mechanical response of rock mass under excavation disturbance, reflecting the overall stability characteristics and safety effects of the support and surrounding rock system during construction, and providing basic information for the inversion of rock mass parameters. Therefore, accurate acquisition and reliable prediction of surrounding rock deformation is the basic premise for surrounding rock stability evaluation and support effectiveness inspection, and is an important measure to ensure the rationality of tunnel engineering design and construction safety. Summary of the invention

[0003] In view of this, the purpose of this application is to provide a spatial force analysis and early warning method for underground construction projects.

[0004] According to a first aspect of the present application, a spatial force analysis and early warning method for underground construction engineering is provided, the method comprising:

[0005] Acquire multiple surrounding rock monitoring data of surrounding rock structures in multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, and multiple supporting structure force monitoring data of corresponding supporting structures in the same vertical plane; construct the multiple supporting structure force monitoring data and the multiple surrounding rock monitoring data into multiple spatial force data sets corresponding to the multiple vertical planes;

[0006] Data conversion is performed on the multiple spatial force data sets to generate temporal curve data and spatial effect curve data within the underground space, and based on the engineering design data and geological structure data of the underground space, the stress condition of the support structure and the change trend of the surrounding rock structure are predicted to generate a full-process deformation fitting curve of the surrounding rock corresponding to the underground space, and the full-process deformation fitting curve of the surrounding rock is used to indicate the change of the surrounding rock deformation rate under different engineering progress distances;

[0007] Determine the surrounding rock deformation rate process curve according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, and generate the surrounding rock deformation acceleration curve of the surrounding rock deformation acceleration changing with the progress distance of the project according to the surrounding rock deformation rate process curve;

[0008] According to the surrounding rock deformation acceleration curve, the deformation acceleration threshold of the surrounding rock is normalized to generate a surrounding rock deformation acceleration threshold, and a target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve, and early warning result information of the underground construction project is generated based on the target excavation point.

[0009] Optionally, the prediction of the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space to generate a whole-process deformation fitting curve of the surrounding rock corresponding to the underground space includes:

[0010] Acquire tunnel type information of the underground construction project, the tunnel type information including a shallow buried tunnel type or a deep buried tunnel type, and determine fitting condition information of the temporal curve data and the spatial effect curve data according to the tunnel type information;

[0011] The deformation process of the surrounding rock is judged according to the fitting condition information, and a fitting curve of the whole deformation process of the surrounding rock is generated.

[0012] Optionally, judging the deformation process of the surrounding rock according to the fitting condition information and generating the whole-process deformation fitting curve of the surrounding rock includes:

[0013] According to the fitting condition information, determine the upper and lower limit envelopes and the average value curve under the engineering progress distance;

[0014] A fitting curve of the whole-process deformation of the surrounding rock is generated according to the upper and lower limit envelopes and the average value curve.

[0015] Optionally, generating a surrounding rock deformation acceleration curve showing changes of surrounding rock deformation acceleration with the engineering progress distance according to the surrounding rock deformation rate process curve includes:

[0016] Determine corresponding slope information according to the surrounding rock deformation rate process curve;

[0017] The surrounding rock deformation acceleration curve is determined according to the slope information.

[0018] Optionally, the performing data conversion on the plurality of spatial force data sets to generate temporal curve data and spatial effect curve data within the underground space includes:

[0019] Performing data cleaning on the plurality of spatial force data sets based on a set data processing method to generate a plurality of standardized data sets;

[0020] Performing time series analysis on the multiple standardized data sets to generate the temporal curve data;

[0021] The spatial data analysis is performed on the multiple standardized data sets to generate the spatial effect curve data.

[0022] Optionally, performing time series analysis on the multiple standardized data sets to generate the temporal curve data includes:

[0023] Performing time alignment processing on the multiple standardized data sets to generate multiple time series standardized data;

[0024] Identify and analyze the changing trends of the multiple time series standardized data in time series to generate multiple feature points on the temporal curve data;

[0025] According to the multiple feature points, the missing data points in the time series are supplemented by a linear interpolation algorithm to generate the temporal curve data.

[0026] Optionally, performing spatial data analysis on the multiple standardized data sets to generate the spatial effect curve data includes:

[0027] Based on corresponding positions of the multiple standardized data sets in the underground space, spatially aligning the multiple standardized data sets to generate multiple spatial standardized data;

[0028] The spatial effect curve data is generated based on a spatial interpolation algorithm according to the plurality of spatial normalized data.

[0029] According to a second aspect of the present application, a spatial force analysis and early warning device for underground construction engineering is provided, the device comprising:

[0030] An acquisition module is used to acquire multiple surrounding rock monitoring data of surrounding rock structures under multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, and multiple supporting structure force monitoring data of corresponding supporting structures under the same vertical plane; construct the multiple supporting structure force monitoring data and the multiple surrounding rock monitoring data into multiple spatial force data sets corresponding to the multiple vertical planes;

[0031] A first generation module is used to perform data conversion on the multiple spatial force data sets, generate temporal curve data and spatial effect curve data within the underground space, predict the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and generate a surrounding rock full-process deformation fitting curve corresponding to the underground space. The surrounding rock full-process deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances;

[0032] The second generating module is used to determine the surrounding rock deformation rate process curve according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, and generate the surrounding rock deformation acceleration curve of the surrounding rock deformation acceleration changing with the progress distance of the project according to the surrounding rock deformation rate process curve;

[0033] An execution module is used to normalize the deformation acceleration threshold of the surrounding rock according to the surrounding rock deformation acceleration curve to generate the surrounding rock deformation acceleration threshold, determine the target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold from the surrounding rock deformation acceleration curve, and generate early warning result information of the underground construction project based on the target excavation point.

[0034] According to a third aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods described in the first aspect of the present disclosure are implemented.

[0035] According to a fourth aspect of the present application, there is provided an electronic device, including:

[0036] processor;

[0037] a memory for storing processor-executable instructions;

[0038] The processor is configured to execute executable instructions in the memory to implement any one of the methods described in the first aspect of the present disclosure.

[0039] According to any one of the above aspects, the technical effect of the present application is: through the above method, multiple surrounding rock monitoring data of the surrounding rock structure under multiple vertical planes within a set interval distance range in the underground space corresponding to the underground construction project, and multiple support structure force monitoring data of the corresponding support structure under the same vertical plane are obtained; the multiple support structure force monitoring data and the multiple surrounding rock monitoring data are constructed into multiple spatial force data sets corresponding to the multiple vertical planes, and the multiple spatial force data sets are converted to generate temporal curve data and spatial effect curve data within the scope of the underground space; based on the engineering design data and geological structure data of the underground space, the stress condition of the support structure and the changing trend of the surrounding rock structure are predicted to generate the underground space. The corresponding surrounding rock deformation fitting curve of the whole process is used to indicate the change of surrounding rock deformation rate under different engineering progress distances. According to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, the surrounding rock deformation rate process curve is determined. According to the surrounding rock deformation rate process curve, a surrounding rock deformation acceleration curve is generated in which the surrounding rock deformation acceleration changes with the engineering progress distance. According to the surrounding rock deformation acceleration curve, the deformation acceleration threshold of the surrounding rock is normalized to generate the surrounding rock deformation acceleration threshold. The target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve, and the warning result information of the underground construction project is generated based on the target excavation point. Thus, the entire underground project is graded for early warning in stages, parts and the whole process, ensuring the safety of the underground construction project. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 It is a flow chart of a spatial force analysis and early warning method for underground construction engineering according to an embodiment of the present disclosure.

[0042] Figure 2 It is a block diagram of a spatial force analysis and early warning device for underground construction engineering according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0043] To make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described below according to the drawings in the embodiment of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description, and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the embodiment of the present application. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add at least one other operation to the flowchart under the guidance of the content of the present application, or destroy at least one operation from the flowchart.

[0044] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. According to the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work correspond to the scope of protection of the present application.

[0045] In the related technology, for the conventional surrounding rock deformation measurement method, the installation of the measuring equipment generally lags behind the excavation face by a certain distance. At this time, the measured surrounding rock deformation is not the total deformation of the surrounding rock, that is, there is a certain amount of displacement loss. For this type of measured deformation, a lot of research has been done on the deformation distribution and its influencing factors, and a series of valuable results have been achieved. However, in fact, at least 30% of the surrounding rock deformation occurs in front of the face, and the instability of the tunnel surrounding rock mostly occurs near the face. It can be seen that this part of the displacement loss plays a decisive role in the evaluation of engineering stability. During the tunnel construction process, various support structures gradually participate in the role. With the accumulation of deformation and the development of damage, the "support-surrounding rock" action system is gradually formed. Therefore, taking the surrounding rock deformation as the characteristic parameter and analyzing its whole process evolution mechanism are of great significance for the evaluation of the overall stability of the support and surrounding rock system. With the development of monitoring and measurement technology, the whole process of surrounding rock deformation, strain and vibration velocity change has been measured, and the influence of mechanical and blasting excavation methods on the damage range has been analyzed. By laying out layered settlement pipes, the stratum deformation induced by the construction of the Hejie Tunnel was measured, and the deformation evolution law of the surrounding rock of the shallow tunnel vault was obtained. By pre-arranging monitoring sections, the temporal and spatial evolution law of stratum deformation during the whole process of pipe jacking was obtained, and a deformation prediction method was proposed. By pre-burying multi-point displacement meters, the internal displacement of the surrounding rock during the construction of the deep underground oil depot was dynamically measured, and the spatial effect of the excavation surface was analyzed. The above methods are of great significance for analyzing the deformation evolution mechanism of the surrounding rock throughout the whole process, and a lot of valuable data have been accumulated. However, the above-mentioned related technologies are all aimed at a specific project, lacking a systematic summary and sorting of monitoring data, resulting in certain limitations in stress warning prediction.

[0046] Based on the above-mentioned related technologies, in this embodiment, based on the statistical analysis of a large amount of field measured data on the deformation of the tunnel surrounding rock throughout the whole process, a systematic analysis was conducted on the distribution law of the tunnel surrounding rock deformation and its influencing factors, the stage characteristics of the spatiotemporal evolution of the surrounding rock deformation were clarified, and a fitting method for the deformation of the surrounding rock throughout the whole process was proposed. The evolution law of the surrounding rock deformation rate and deformation acceleration was further obtained, and a method for determining the surrounding rock stability criterion was established, thereby obtaining the results of spatial force during the underground construction project, and based on the results, the relevant engineering and technical personnel were reminded to effectively make engineering reinforcement and protection to avoid the occurrence of construction safety accidents.

[0047] Figure 1 FIG. 1 is a flow chart showing a method for analyzing and warning spatial forces for underground construction projects according to an exemplary embodiment. Figure 1 As shown, the method is applied to a terminal and includes the following steps.

[0048] Step S11, obtaining multiple surrounding rock monitoring data of surrounding rock structures under multiple vertical planes within a set interval distance range in the underground space corresponding to the underground construction project, and multiple supporting structure force monitoring data of the corresponding supporting structure under the same vertical plane; constructing the multiple supporting structure force monitoring data and the multiple surrounding rock monitoring data into multiple spatial force data sets corresponding to the multiple vertical planes.

[0049] For example, in this embodiment, underground construction projects mainly include tunnel excavation projects and other engineering projects that require digging underground passages. During the progress of the project, there may be engineering accidents such as engineering tunnel collapse, engineering tunnel fracture and engineering tunnel deformation. Therefore, it is necessary to analyze the spatial stress conditions in each process of the project and the backlog deformation of the surrounding rock before the start of the project, so as to carry out advance support and grouting protection of the project section in advance, so as to prevent accidents such as tunnel face collapse during the construction process. Among them, the surrounding rock is the mountain or cave structure outside the hollow space during the engineering excavation process. In this embodiment, there is no restriction on the engineering material of the surrounding rock structure, which can be determined according to the specific project. For example, the surrounding rock structure can be a material of soil + solid stone, or it can be a rock material.

[0050] During the excavation process of underground construction projects, the continuous expansion of underground space can easily cause changes in geological structure and geological properties, resulting in surrounding rock pressure and changes in surrounding rock shape. The deformed or changed surrounding rock structure cannot support the underground space, resulting in pressure changes and even deformation and other abnormalities. Therefore, it is necessary to predict the location of engineering points that may deform in future engineering structures and cause safety accidents based on the pressure data of the support structure and the corresponding surrounding rock position in the current void space, so as to take measures such as advance support and early reinforcement based on this location to avoid deformation and collapse of the surrounding rock at the corresponding location.

[0051] For example, after the project excavates to a certain distance to form an underground cavity space, multiple surrounding rock monitoring data of the surrounding rock structure under multiple vertical planes within a set interval range in the corresponding space of the underground construction project are obtained, and if there is a support structure under the same vertical plane, the force monitoring data of the support structure is collected according to the relevant detection device. It should be noted that before the construction of the underground construction project, it is necessary to detect the construction soil structure at the corresponding project location of the underground construction project to obtain the construction soil information at each location in the planned construction section. According to the soil information and soil position information, the stress threshold and extrusion threshold of the soil before the underground construction project are carried out can be determined by the relevant algorithm. When the stress condition of the corresponding soil structure exceeds the stress threshold and / or extrusion threshold, it will deform in the opposite direction, causing the underground space to be squeezed and damaged, and then causing the collapse of the underground construction project. The support structure in the underground space is a support component, which is used to support the shape of the underground space completed by the engineering excavation, promote the formation of the underground space, and prevent the collapse of the underground space. Therefore, in this embodiment, it is necessary to obtain the stress data of the underground support structure and the surrounding rock monitoring data of the corresponding position, so as to predict the stress safety of future underground construction projects.

[0052] In the underground space that has been formed, a detection vertical plane is set from the position of the cave entrance according to the set interval distance range, and multiple surrounding rock detection points are set in an inner circle of the detection vertical plane. Based on the surrounding rock pressure monitoring device, the surrounding rock pressure of each point is detected to generate surrounding rock monitoring data under the vertical plane, and multiple vertical planes are set to obtain multiple surrounding rock monitoring data. For example, the interval distance is set to 2m, starting from the position of the cave entrance, every 2m constitutes a vertical space until it is set to the deepest position in the cave, and 4 surrounding rock monitoring points are set in the vertical plane, which are 60° position, 120° position, 240° position and 300° position within a circle range corresponding to the vertical plane. If the underground space that has been excavated is 10 meters, 5 vertical planes are set, and 20 surrounding rock monitoring data are generated accordingly.

[0053] In the process of collecting surrounding rock monitoring data, it is determined whether there is a support structure within the set range on the left and right of the corresponding vertical plane, and the stress condition of the support structure is collected to obtain stress monitoring data of multiple support structures. For example, the set range is within ±20cm of the vertical plane. The stress monitoring data of multiple support structures within the range are combined with the multiple surrounding rock monitoring data under the vertical plane to form a spatial stress data set, and multiple spatial stress data sets are formed based on multiple vertical planes. In this embodiment, based on the spatial stress data set, the spatial stress analysis of the already formed underground space can be performed in sections to generate a spatial stress data set, and the stress condition of the underground space can be analyzed based on the spatial stress data set combined with the engineering design scheme of the corresponding position.

[0054] Step S12, performing data conversion on the multiple spatial force data sets to generate temporal curve data and spatial effect curve data within the underground space, predicting the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and generating a surrounding rock full-process deformation fitting curve corresponding to the underground space. The surrounding rock full-process deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances.

[0055] For example, in this embodiment, the spatial force data set collected in the above steps is converted to generate temporal curve data and spatial effect curve data within the underground space. The temporal curve data is the temporal change curve data of the spatial force data based on the engineering excavation progress and the preset engineering time setting, and the spatial effect curve data is based on the spatial force data set corresponding to the currently formed underground space, combined with the design of the engineering project, and the spatial force analysis of the engineering project is performed to generate the spatial effect curve data. In this embodiment, the underground construction project is a construction project in time and space. In the process of analyzing the spatial force situation based on the spatial force data set, the force situation of the engineering project in the time dimension and the space dimension is analyzed to obtain the force analysis results of the time dimension and the space dimension, so as to help the construction personnel to perform corresponding protection and protection measures based on the force analysis results to avoid corresponding engineering safety accidents.

[0056] Optionally, in some embodiments, the above step S12 includes:

[0057] Performing data cleaning on the plurality of spatial force data sets based on a set data processing method to generate a plurality of standardized data sets;

[0058] Performing time series analysis on the multiple standardized data sets to generate the temporal curve data;

[0059] The spatial data analysis is performed on the multiple standardized data sets to generate the spatial effect curve data.

[0060] By way of example, in this embodiment, in order to prevent the influence of erroneous data on the prediction results, it is necessary to perform data cleaning on the multiple spatial force data sets collected in the above steps based on the set data processing method during the data conversion process, so as to avoid the influence of burr data on the prediction data during the collection process. By way of example, the data processing method is set to include outlier detection and processing, and the change trend of multiple spatial force data sets can be determined based on a statistical method, and the outliers in the multiple spatial force data sets can be identified based on the change trend, and the outliers can be corrected or deleted, so as to achieve data clarity of multiple spatial force data sets and generate multiple standardized data sets. The data processing method can also include data burr processing, identifying the spatial force data collected in the same vertical plane, deleting the burr data therein, and generating multiple standardized data sets.

[0061] For example, in this embodiment, multiple standardized data sets are analyzed in time series, and temporal predictions are performed in time series based on multiple standardized data sets to obtain temporal curve data. Spatial data analysis is performed on multiple standardized data sets to predict the underground engineering space and generate spatial effect curve data. In this embodiment, based on the temporal prediction network and the spatial prediction network, the temporal and spatial change laws can be predicted respectively, and the engineering design data and geological structure data can be input into the corresponding temporal prediction network and the spatial prediction network to match the neural network structure that matches the current engineering design data and geological structure data, and then based on the corresponding neural network structure, the spatial force change conditions are predicted in time series and space respectively to generate temporal curve data and spatial effect curve data. Among them, the temporal curve data is the prediction curve data of the force conditions that change with the engineering time under each vertical plane, and the spatial effect curve data is the prediction curve data of the spatial force conditions under each vertical plane that changes with the engineering excavation distance.

[0062] Optionally, in some embodiments, the above step of “performing time series analysis on the multiple standardized data sets to generate the temporal curve data” includes:

[0063] Performing time alignment processing on the multiple standardized data sets to generate multiple time series standardized data;

[0064] Identify and analyze the changing trends of the multiple time series standardized data in time series to generate multiple feature points on the temporal curve data;

[0065] According to the multiple feature points, the missing data points in the time series are supplemented by a linear interpolation algorithm to generate the temporal curve data.

[0066] For example, based on the engineering design data and geological structure data of the underground space, the excavation time and excavation space position information at the current engineering excavation speed are obtained, and then based on the above information, multiple standardized data sets are temporally aligned to generate multiple time-series standardized data, and then the changing trends of the multiple time-series standardized data in the time series are identified and analyzed to generate multiple feature points on the temporal curve data, wherein the multiple feature points are used to indicate the spatial force conditions under the vertical plane of the corresponding engineering at different time series, and according to the multiple feature points, the actual data points on the time series are supplemented by a linear interpolation algorithm to generate the temporal curve data on the time series.

[0067] Optionally, in some embodiments, the above step of: "performing spatial data analysis on the multiple standardized data sets to generate the spatial effect curve data" includes:

[0068] Based on corresponding positions of the multiple standardized data sets in the underground space, spatially aligning the multiple standardized data sets to generate multiple spatial standardized data;

[0069] The spatial effect curve data is generated based on a spatial interpolation algorithm according to the plurality of spatial normalized data.

[0070] For example, referring to the generation process of the above-mentioned temporal curve data, the spatial effect curve data is supplemented. In this embodiment, based on the engineering design data and geological structure data of the underground space, the excavation time and excavation space position information at the current engineering excavation speed are obtained, and multiple standardized data sets are aligned in time and space based on the above information. The spatial alignment processing is to align multiple spatial standardized data according to the engineering distance based on the spatial position of the engineering progress to generate multiple spatial standardized data, and then based on the multiple spatial standardized data, the other points of the curve in the continuous space are supplemented based on the spatial interpolation algorithm to generate the spatial effect curve data generated by the spatial interpolation algorithm.

[0071] For example, in this embodiment, based on the engineering design data and geological structure data of the underground space, the stress condition of the support structure and the change trend of the surrounding rock structure are predicted, and the temporal curve data and the spatial effect curve data are converted into the surrounding rock deformation fitting curve corresponding to the underground space. The surrounding rock deformation fitting curve is used to indicate the change of the surrounding rock deformation rate at different engineering progress distances in the unexcavated engineering distance. For example, the temporal curve data and the spatial effect curve data are converted to obtain the surrounding rock deformation rate at the current construction state at different engineering progress distances, wherein the current construction state includes the construction speed, the construction process and the construction target, etc., and the excavation position at a future time can be determined based on the current construction state, as well as the underground space scale generated after the excavation is completed. In this embodiment, the support stress condition and the change trend of the surrounding rock structure can be predicted and analyzed based on the engineering design data and the geological structure data, and multiple surrounding rock deformation rates at different engineering progress distances can be obtained, and then the curve is supplemented by difference based on the predicted multiple surrounding rock deformation rates to obtain the surrounding rock deformation fitting curve.

[0072] Optionally, in some embodiments, the above step of "predicting the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and converting the temporal curve data and the spatial effect curve data into a surrounding rock deformation fitting curve corresponding to the underground space throughout the process" includes:

[0073] Acquire tunnel type information of the underground construction project, the tunnel type information including a shallow buried tunnel type or a deep buried tunnel type, and determine fitting condition information of the temporal curve data and the spatial effect curve data according to the tunnel type information;

[0074] The deformation process of the surrounding rock is judged according to the fitting condition information, and a fitting curve of the whole deformation process of the surrounding rock is generated.

[0075] For example, since the shallow buried tunnel is mainly characterized by the development of the shallow surrounding rock range and the degree of damage during the construction process, the surrounding rock load is mainly composed of loose loads. The surrounding rock stability control ideas and support schemes are quite different from those of deep buried tunnels, which leads to differences in the tunnel support-surrounding rock action process. For this reason, the deformation of the surrounding rock of deep buried and shallow buried tunnels are plotted separately during data analysis. Similar to the longitudinal deformation curve of the surrounding rock without support, the deformation curve of the tunnel surrounding rock during the whole process is also S-shaped, and the deformation rate is the largest near the face. In order to obtain the relationship between the evolution of the surrounding rock displacement release rate over time under the support action, the Hoek formula is used to fit each curve to generate a full process deformation fitting curve. The Hoek formula includes:

[0076] ;

[0077] Wherein, A, B, and C are morphological constants. Based on the above formula, the deformation data of the surrounding rock during the whole process are fitted for different deep and shallow tunnels, where x is the tunnel position and r0 is the goodness of fit. In this embodiment, the deformation data of the surrounding rock during the whole process of deep and shallow buried tunnels are fitted respectively to obtain the undetermined parameter results of each project. Wherein, r0 represents the goodness of fit, and its value range is (0, 1]. The larger its value, the better the degree of fit. It can be seen that the improved Hoek formula has a better fitting effect, and the goodness of fit is above 0.95, which shows that the fitting result is effective, and for different engineering conditions, the fitting results of the morphological parameters have certain differences.

[0078] For example, in this embodiment, tunnel type information of an underground construction project is obtained, and the tunnel type information is used to indicate the tunnel type corresponding to the underground construction project, and the tunnel types include shallow buried tunnels and deep buried tunnels, wherein different tunnel types correspond to different fitting parameters. In this embodiment, tunnel fitting is performed based on the tunnel type, and the temporal curve data and the spatial effect curve data are fitted and transformed to generate corresponding fitting condition information, that is, the above-mentioned fitting parameters. According to the fitting condition information, the deformation process of the surrounding rock is judged, and a fitting curve of the surrounding rock deformation during the entire process is generated.

[0079] Optionally, in some embodiments, the above step of: "judging the surrounding rock deformation process according to the fitting condition information to generate the surrounding rock deformation fitting curve for the entire process" includes:

[0080] According to the fitting condition information, determine the upper and lower limit envelopes and the average value curve under the engineering progress distance;

[0081] A fitting curve of the whole-process deformation of the surrounding rock is generated according to the upper and lower limit envelopes and the average value curve.

[0082] For example, in this embodiment, according to the fitting conditions, the upper and lower envelopes and the average value curve under the current engineering conditions in the fitting curve are determined. The upper and lower envelopes in the fitting curve are determined, where the upper and lower envelopes are used to describe the curve of the trend change in the data set, where the upper envelope is located above all the data in the data set, as close to these points as possible, that is, the upper envelope is the upper limit value information at each fitting position, and the upper curve is composed; the corresponding lower envelope is located below all the data in the data set, as close to these points as possible, that is, the lower envelope is the lower limit value information at each fitting position. The average value curve is the average value information of the surrounding rock change rate at each fitting position. According to the upper and lower envelopes and the average value curve, the surrounding rock change trend of the current underground project is fitted to obtain the surrounding rock deformation fitting curve of the whole process.

[0083] Step S13, determining the surrounding rock deformation rate process curve according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, and generating the surrounding rock deformation acceleration curve in which the surrounding rock deformation acceleration changes with the project progress distance according to the surrounding rock deformation rate process curve.

[0084] For example, according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the current underground construction project, the process curve of the surrounding rock deformation rate is determined. According to the surrounding rock deformation rate process curve, a surrounding rock deformation acceleration curve is generated in which the surrounding rock deformation acceleration changes with the project progress distance.

[0085] In this embodiment, in engineering practice, the basis for judging whether the surrounding rock deformation is stable is usually the surrounding rock deformation rate. However, for soft tunnel surrounding rock with rheological properties, it is inevitable that the support will be too strong and time-consuming to make the surrounding rock deformation rate approach zero, which greatly affects the construction period and project cost. To this end, this section analyzes the surrounding rock deformation rate and deformation acceleration, and further provides a method for determining the surrounding rock stability criterion, which is of great significance for the scientific design of the tunnel support system. For large-section tunnels passing through poor geological conditions, the construction rate is often slow, the surrounding rock continues to deform for a long time, and the surrounding rock deformation rate is maintained at a low level. At this time, the deformation rate cannot be used to measure whether the surrounding rock is stable, but the deformation acceleration should be used as the main criterion. This is also the essential reason why the surrounding rock stability criterion based on deformation amount and deformation rate is difficult to use for tunnels with weak surrounding rocks.

[0086] Step S14, according to the surrounding rock deformation acceleration curve, the deformation acceleration threshold of the surrounding rock is normalized to generate the surrounding rock deformation acceleration threshold, the target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve, and the early warning result information of the underground construction project is generated based on the target excavation point.

[0087] For example, in this embodiment, the deformation acceleration threshold of the surrounding rock is normalized according to the surrounding rock deformation acceleration curve to generate the surrounding rock deformation acceleration threshold, and the target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve. The target excavation point is used to indicate the excavation point where the underground space force exceeds the threshold during the excavation of the underground project, and early warning result information of the underground construction project is generated based on the target excavation point.

[0088] Through the above method, multiple surrounding rock monitoring data of surrounding rock structures under multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, as well as multiple support structure force monitoring data of corresponding support structures under the same vertical plane are obtained; the multiple support structure force monitoring data and the multiple surrounding rock monitoring data are constructed into multiple spatial force data sets corresponding to the multiple vertical planes, and the multiple spatial force data sets are converted to generate temporal curve data and spatial effect curve data within the underground space. Based on the engineering design data and geological structure data of the underground space, the force condition of the support structure and the change trend of the surrounding rock structure are predicted, and a whole-process deformation simulation of the surrounding rock corresponding to the underground space is generated. The surrounding rock deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances. According to the surrounding rock deformation fitting curve and the preset excavation rate of the underground construction project, the surrounding rock deformation rate process curve is determined. According to the surrounding rock deformation rate process curve, a surrounding rock deformation acceleration curve is generated in which the surrounding rock deformation acceleration changes with the engineering progress distance. According to the surrounding rock deformation acceleration curve, the deformation acceleration threshold of the surrounding rock is normalized to generate the surrounding rock deformation acceleration threshold. The target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve, and the early warning result information of the underground construction project is generated based on the target excavation point. In this way, the entire underground project can be graded for early warning in stages, parts and the whole process, ensuring the safety of the underground construction project.

[0089] Figure 2 is a block diagram of a space force analysis and early warning device for underground construction engineering according to an exemplary embodiment. Figure 2 As shown, the device 100 includes:

[0090] The acquisition module 110 is used to acquire multiple surrounding rock monitoring data of surrounding rock structures under multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, and multiple supporting structure force monitoring data of corresponding supporting structures under the same vertical plane; construct the multiple supporting structure force monitoring data and the multiple surrounding rock monitoring data into multiple spatial force data sets corresponding to the multiple vertical planes;

[0091] The first generation module 120 is used to perform data conversion on the multiple spatial force data sets, generate temporal curve data and spatial effect curve data within the underground space, predict the force condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and generate a surrounding rock full-process deformation fitting curve corresponding to the underground space, wherein the surrounding rock full-process deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances;

[0092] The second generating module 130 is used to determine the surrounding rock deformation rate process curve according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, and generate the surrounding rock deformation acceleration curve of the surrounding rock deformation acceleration changing with the project progress distance according to the surrounding rock deformation rate process curve;

[0093] The execution module 140 is used to normalize the deformation acceleration threshold of the surrounding rock according to the surrounding rock deformation acceleration curve, generate the surrounding rock deformation acceleration threshold, determine the target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold from the surrounding rock deformation acceleration curve, and generate early warning result information of the underground construction project based on the target excavation point.

[0094] Optionally, the first generating module 120 includes:

[0095] An acquisition submodule is used to acquire tunnel type information of the underground construction project, wherein the tunnel type information includes a shallow buried tunnel type or a deep buried tunnel type, and determine fitting condition information of the temporal curve data and the spatial effect curve data according to the tunnel type information;

[0096] The first generating submodule is used to judge the surrounding rock deformation process according to the fitting condition information and generate the surrounding rock deformation fitting curve of the whole process.

[0097] Optionally, generate submodules for:

[0098] According to the fitting condition information, determine the upper and lower limit envelopes and the average value curve under the engineering progress distance;

[0099] A fitting curve of the whole-process deformation of the surrounding rock is generated according to the upper and lower limit envelopes and the average value curve.

[0100] Optionally, the execution module 140 is configured to:

[0101] Determine corresponding slope information according to the surrounding rock deformation rate process curve;

[0102] The surrounding rock deformation acceleration curve is determined according to the slope information.

[0103] Optionally, the first generating module 120 includes:

[0104] A second generating submodule is used to perform data cleaning on the multiple spatial force data sets based on a set data processing method to generate multiple standardized data sets;

[0105] A third generating submodule is used to perform time series analysis on the multiple standardized data sets to generate the temporal curve data;

[0106] The fourth generating submodule is used to perform spatial data analysis on the multiple standardized data sets to generate the spatial effect curve data.

[0107] Optionally, the third generation submodule is used to:

[0108] Performing time alignment processing on the multiple standardized data sets to generate multiple time series standardized data;

[0109] Identify and analyze the changing trends of the multiple time series standardized data in time series to generate multiple feature points on the temporal curve data;

[0110] According to the multiple feature points, the missing data points in the time series are supplemented by a linear interpolation algorithm to generate the temporal curve data.

[0111] Optionally, the fourth generation submodule is used to:

[0112] Based on corresponding positions of the multiple standardized data sets in the underground space, spatially aligning the multiple standardized data sets to generate multiple spatial standardized data;

[0113] The spatial effect curve data is generated based on a spatial interpolation algorithm according to the plurality of spatial normalized data.

[0114] Through the above method, multiple surrounding rock monitoring data of surrounding rock structures under multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, as well as multiple support structure force monitoring data of corresponding support structures under the same vertical plane are obtained; the multiple support structure force monitoring data and the multiple surrounding rock monitoring data are constructed into multiple spatial force data sets corresponding to the multiple vertical planes, and the multiple spatial force data sets are converted to generate temporal curve data and spatial effect curve data within the underground space. Based on the engineering design data and geological structure data of the underground space, the force condition of the support structure and the change trend of the surrounding rock structure are predicted, and a whole-process deformation simulation of the surrounding rock corresponding to the underground space is generated. The surrounding rock deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances. According to the surrounding rock deformation fitting curve and the preset excavation rate of the underground construction project, the surrounding rock deformation rate process curve is determined. According to the surrounding rock deformation rate process curve, a surrounding rock deformation acceleration curve is generated in which the surrounding rock deformation acceleration changes with the engineering progress distance. According to the surrounding rock deformation acceleration curve, the deformation acceleration threshold of the surrounding rock is normalized to generate the surrounding rock deformation acceleration threshold. The target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve, and the early warning result information of the underground construction project is generated based on the target excavation point. In this way, the entire underground project can be graded for early warning in stages, parts and the whole process, ensuring the safety of the underground construction project.

[0115] An embodiment of the present application provides a computer-readable storage medium having program code stored thereon. When the program code is executed by a processor, the steps and corresponding contents of the aforementioned method embodiment can be implemented.

[0116] The present disclosure also provides an electronic device, including:

[0117] processor;

[0118] a memory for storing processor-executable instructions;

[0119] The processor is configured to execute executable instructions in the memory to implement the method described in any one of the aforementioned embodiments.

[0120] It should be understood that, although each operation step is indicated by arrows in the flowchart of the embodiment of the present application, the implementation order of these steps is not limited to the order indicated by the arrows. Unless there is a clear description in this article, in some implementation scenarios of the embodiment of the present application, the implementation steps in each flowchart can be performed in other orders based on demand. In addition, some or all of the steps in each flowchart may include multiple sub-steps or multiple stages according to the actual implementation scenario. Some or all of these sub-steps or stages can be executed at the same time, and each sub-step or stage in these sub-steps or stages can also be executed at different times respectively. In different scenarios at the execution time, the execution order of these sub-steps or stages can be flexibly configured based on demand, and the embodiment of the present application does not limit this.

[0121] The above is only an optional implementation method for some implementation scenarios of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the technical concept of the scheme of the present application, other similar implementation methods based on the technical ideas of the present application are also within the protection scope of the embodiments of the present application.

Claims

1. A spatial force analysis and early warning method for underground construction engineering, characterized in that: The method comprises: Acquire multiple surrounding rock monitoring data of surrounding rock structures in multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, and multiple supporting structure force monitoring data of corresponding supporting structures in the same vertical plane; construct the multiple supporting structure force monitoring data and the multiple surrounding rock monitoring data into multiple spatial force data sets corresponding to the multiple vertical planes; Performing data conversion on the multiple spatial stress data sets to generate temporal curve data and spatial effect curve data within the underground space, predicting the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and converting the temporal curve data and the spatial effect curve data into a surrounding rock full-process deformation fitting curve corresponding to the underground space, wherein the surrounding rock full-process deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances; Determine the surrounding rock deformation rate process curve according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, and generate the surrounding rock deformation acceleration curve of the surrounding rock deformation acceleration changing with the progress distance of the project according to the surrounding rock deformation rate process curve; According to the surrounding rock deformation acceleration curve, the deformation acceleration threshold of the surrounding rock is normalized to generate the surrounding rock deformation acceleration threshold, and the target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold is determined from the surrounding rock deformation acceleration curve, and the early warning result information of the underground construction project is generated based on the target excavation point; The method of predicting the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and converting the temporal curve data and the spatial effect curve data into a whole-process deformation fitting curve of the surrounding rock corresponding to the underground space, includes: Acquire tunnel type information of the underground construction project, the tunnel type information including a shallow buried tunnel type or a deep buried tunnel type, and determine fitting condition information of the temporal curve data and the spatial effect curve data according to the tunnel type information; According to the fitting condition information, the deformation process of the surrounding rock is judged to generate a fitting curve of the deformation of the surrounding rock in the whole process; The step of converting the plurality of spatial force data sets to generate temporal curve data and spatial effect curve data within the underground space includes: Performing data cleaning on the plurality of spatial force data sets based on a set data processing method to generate a plurality of standardized data sets; Performing time series analysis on the multiple standardized data sets to generate the temporal curve data; Performing spatial data analysis on the multiple standardized data sets to generate the spatial effect curve data; The performing time series analysis on the plurality of standardized data sets to generate the temporal curve data comprises: Performing time alignment processing on the multiple standardized data sets to generate multiple time series standardized data; Identify and analyze the changing trends of the multiple time series standardized data in time series to generate multiple feature points on the temporal curve data; According to the plurality of feature points, the missing data points in the time series are supplemented by a linear interpolation algorithm to generate the temporal curve data; The performing spatial data analysis on the plurality of standardized data sets to generate the spatial effect curve data comprises: Based on corresponding positions of the multiple standardized data sets in the underground space, spatially aligning the multiple standardized data sets to generate multiple spatial standardized data; The spatial effect curve data is generated based on a spatial interpolation algorithm according to the plurality of spatial normalized data.

2. The spatial force analysis and early warning method for underground construction engineering according to claim 1 is characterized in that: The step of judging the surrounding rock deformation process according to the fitting condition information and generating the surrounding rock deformation fitting curve of the whole process includes: According to the fitting condition information, determine the upper and lower limit envelopes and the average value curve under the engineering progress distance; A fitting curve of the whole-process deformation of the surrounding rock is generated according to the upper and lower limit envelopes and the average value curve.

3. The spatial force analysis and early warning method for underground construction engineering according to claim 1 is characterized in that: The step of generating a surrounding rock deformation acceleration curve showing changes of surrounding rock deformation acceleration with the engineering progress distance according to the surrounding rock deformation rate process curve comprises: Determine corresponding slope information according to the surrounding rock deformation rate process curve; The surrounding rock deformation acceleration curve is determined according to the slope information.

4. A spatial force analysis and early warning device for underground construction engineering, characterized in that: The device comprises: An acquisition module is used to acquire multiple surrounding rock monitoring data of surrounding rock structures under multiple vertical planes within a set interval range in the underground space corresponding to the underground construction project, and multiple supporting structure force monitoring data of corresponding supporting structures under the same vertical plane; construct the multiple supporting structure force monitoring data and the multiple surrounding rock monitoring data into multiple spatial force data sets corresponding to the multiple vertical planes; A first generating module is used to perform data conversion on the multiple spatial force data sets, generate temporal curve data and spatial effect curve data within the scope of the underground space, predict the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and generate a surrounding rock deformation fitting curve corresponding to the underground space throughout the process, wherein the surrounding rock deformation fitting curve is used to indicate the change of surrounding rock deformation rate under different engineering progress distances; the prediction of the stress condition of the support structure and the change trend of the surrounding rock structure based on the engineering design data and geological structure data of the underground space, and converting the temporal curve data and the spatial effect curve data into the surrounding rock deformation fitting curve corresponding to the underground space throughout the process, including: obtaining tunnel type information of the underground construction project, wherein the tunnel type information includes a shallow buried tunnel type or a deep buried tunnel type, and determining fitting condition information of the temporal curve data and the spatial effect curve data according to the tunnel type information; judging the surrounding rock deformation process according to the fitting condition information, and generating the surrounding rock deformation fitting curve throughout the process; The data conversion of the multiple spatial force data sets to generate temporal curve data and spatial effect curve data within the underground space includes: performing data cleaning on the multiple spatial force data sets based on a set data processing method to generate multiple standardized data sets; performing time series analysis on the multiple standardized data sets to generate the temporal curve data; performing spatial data analysis on the multiple standardized data sets to generate the spatial effect curve data; The step of performing time series analysis on the multiple standardized data sets to generate the temporal curve data includes: performing time alignment processing on the multiple standardized data sets to generate multiple time series standardized data; performing identification and analysis on the time series change trends of the multiple time series standardized data to generate multiple feature points on the temporal curve data; and supplementing the missing data points on the time series by a linear interpolation algorithm based on the multiple feature points to generate the temporal curve data; The performing spatial data analysis on the multiple standardized data sets to generate the spatial effect curve data includes: based on the corresponding positions of the multiple standardized data sets in the underground space, spatially aligning the multiple standardized data sets to generate multiple spatial standardized data; generating the spatial effect curve data based on the multiple spatial standardized data based on a spatial interpolation algorithm; The second generating module is used to determine the surrounding rock deformation rate process curve according to the surrounding rock deformation fitting curve of the whole process and the preset excavation rate of the underground construction project, and generate the surrounding rock deformation acceleration curve of the surrounding rock deformation acceleration changing with the progress distance of the project according to the surrounding rock deformation rate process curve; An execution module is used to normalize the deformation acceleration threshold of the surrounding rock according to the surrounding rock deformation acceleration curve to generate the surrounding rock deformation acceleration threshold, determine the target excavation point where the surrounding rock deformation acceleration exceeds the surrounding rock deformation acceleration threshold from the surrounding rock deformation acceleration curve, and generate early warning result information of the underground construction project based on the target excavation point.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 3 are implemented.

6. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to execute executable instructions in the memory to implement the method described in any one of claims 1 to 3.

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