Deviation risk early warning system applied to geological rock stratum

Abstract

The invention discloses an offset risk early warning system applied to a geological rock stratum, and relates to the technical field of geological monitoring, and the system comprises a data collection module which is used for obtaining geological environment data of a target geological rock stratum area; the data processing module is used for processing the acquired geological environment data and constructing a dynamic stress model corresponding to the target geological rock stratum area; the data analysis module is used for performing offset risk analysis on each position in the target geological rock stratum area according to the obtained dynamic stress model; and the risk early warning module is used for carrying out risk point marking on the target geological rock stratum area according to the migration risk analysis result, and monitoring whether the geological rock stratum migration risk exists in the position where each data acquisition terminal is located based on the obtained geological environment data.

Description

Technical Field

[0001] The present invention relates to the technical field of geological monitoring, and in particular to a deviation risk early warning system applied to geological rock formations. Background Art

[0002] The stability of geological rock formations is crucial to all types of engineering construction and geological safety. During engineering activities such as mining, tunneling, and high-rise building construction, geological rock formations may shift due to external disturbances, groundwater level changes, earthquakes, and other factors. Once a significant shift occurs, it can trigger a series of serious consequences, causing cracks or even collapse in tunnels, affecting traffic operations; causing uneven settlement of building foundations, and endangering the safety of building structures;

[0003] In the existing technology, geological monitoring methods mainly rely on manual regular inspections and simple sensor monitoring. How to achieve unmanned monitoring of geological rock strata migration risks is a problem we need to solve. To this end, we now provide a migration risk early warning system for geological rock strata. Summary of the Invention

[0004] The purpose of the present invention is to provide a migration risk early warning system for geological rock formations.

[0005] The object of the present invention can be achieved by the following technical solution: a migration risk early warning system applied to geological rock formations, comprising:

[0006] Data acquisition module, used to obtain geological environment data of the target geological rock formation area;

[0007] A data processing module is used to process the acquired geological environment data and construct a dynamic stress model corresponding to the target geological rock formation area;

[0008] A data analysis module is used to perform migration risk analysis on various locations within the target geological formation area based on the obtained dynamic stress model;

[0009] The risk warning module is used to mark risk points in the target geological rock formation area based on the results of the offset risk analysis.

[0010] Furthermore, the data acquisition module is composed of a number of data acquisition terminals, which are arranged at various locations within the target geological strata to obtain geological environment data at the locations;

[0011] The geological environment data include stress parameters, displacement parameters and tilt parameters. The stress parameters include stress value and stress direction, the displacement parameters include horizontal displacement and vertical displacement, and the tilt parameter is the tilt angle.

[0012] Furthermore, the data processing module processes the acquired geological environment data to construct a dynamic stress model corresponding to the target geological rock formation area, including:

[0013] Construct a three-dimensional model of the base rock layer according to a fixed ratio for the target geological rock layer, and generate corresponding simulated geological rock layers at corresponding positions in the three-dimensional model of the base rock layer according to the structure within the target geological rock layer;

[0014] Mapping the data acquisition terminals placed at various locations within the target geological strata onto the three-dimensional model of the underlying strata to generate a simulated data source, and importing the geological environment data acquired by each data acquisition terminal into the simulated data source;

[0015] Setting corresponding geological standard parameters for the simulated geological strata at the location of each simulation data source, the geological standard parameters including a horizontal standard stress direction, a vertical standard stress direction, a horizontal standard stress threshold range in the horizontal standard stress direction, a vertical standard stress threshold range in the vertical standard stress direction, a horizontal displacement threshold, a vertical displacement threshold, and an inclination angle threshold;

[0016] The obtained geological environment data are compared with the corresponding geological standard parameters to obtain the geological environment difference, and the obtained geological environment difference is mapped to the corresponding simulation data source to complete the construction of the dynamic stress model.

[0017] Furthermore, the process of obtaining the geological environment difference includes:

[0018] Select any simulated data source as the benchmark data source, and the remaining simulated data sources as the control data sources;

[0019] Obtaining the angles between the stress direction of the reference data source and the horizontal standard stress direction and the vertical standard stress direction respectively, and decomposing the stress direction of the reference data source into horizontal stress and vertical stress according to the obtained angles, and then obtaining the corresponding horizontal stress value and vertical stress value according to the stress value;

[0020] The horizontal stress value and vertical stress value of each comparison data source are obtained using the same method;

[0021] Obtaining the distance between each reference data source and the benchmark data source;

[0022] According to the angle between the stress direction of the reference data source and the stress direction of the comparison data source, the force of each comparison data source on the stress direction of the reference data source is obtained, and then the horizontal force and vertical force corresponding to the reference data source are obtained according to the force;

[0023] Then we can obtain the comprehensive influence of all control data sources on the benchmark data source. ;

[0024] The comprehensive influence corresponding to each simulation data source is summarized to obtain the geological environment difference of each simulation data source.

[0025] Furthermore, the process of the data analysis module performing migration risk analysis on each location within the target geological formation area according to the obtained dynamic stress model includes:

[0026] Compare the stress value of the simulated data source with the horizontal standard stress threshold range and the vertical standard stress threshold range to obtain the corresponding horizontal stress difference value and vertical stress difference value;

[0027] According to the horizontal stress difference, vertical stress difference, horizontal displacement, vertical displacement and tilt angle of the simulation data source;

[0028] Obtaining the bias risk coefficient Pf of the simulated data source;

[0029] Set the risk threshold P0;

[0030] When Pf ≥ P0, it means that there is a risk of stratum migration at the location of the data acquisition terminal corresponding to the simulated data source; otherwise, there is no risk of stratum migration.

[0031] Furthermore, the horizontal stress difference and the vertical stress difference are obtained by decomposing the stress direction of the simulation data source along the horizontal standard stress direction and the vertical standard stress direction to obtain the corresponding horizontal stress and vertical stress. If the directions of the horizontal stress and the vertical stress are respectively consistent with the corresponding horizontal standard stress direction and the vertical standard stress direction, the obtained horizontal stress and vertical stress are positive values, otherwise they are negative values. The horizontal stress and the vertical stress are respectively compared with the horizontal standard stress threshold range and the vertical standard stress threshold range to obtain the corresponding horizontal stress difference and vertical stress difference.

[0032] When the horizontal stress and vertical stress are within the corresponding horizontal standard stress threshold range and vertical standard stress threshold range, the corresponding horizontal stress difference and vertical stress difference are recorded as 0. If they are not within the corresponding horizontal standard stress threshold range and vertical standard stress threshold range, the absolute value of the corresponding difference is obtained as the corresponding horizontal stress difference and vertical stress difference.

[0033] Furthermore, the risk warning module marks risk points in the target geological formation area according to the offset risk analysis results, including:

[0034] Marking simulation data sources with the risk of formation migration as risky data sources;

[0035] Set several influence threshold intervals and set a corresponding influence coefficient for each influence threshold interval;

[0036] Match the comprehensive influence of each risk data source with each influence threshold interval, and obtain the corresponding risk factor value based on the obtained influence coefficient and offset risk coefficient;

[0037] The risk data sources are sorted from high to low according to the obtained risk factor values, and each risk data source is marked as a risk point of different levels according to the sorting results.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. By deploying data acquisition terminals in the target geological rock formation area, the geological environment data of the corresponding location is obtained through the data acquisition terminals. Based on the obtained geological environment data, the location of each data acquisition terminal is monitored to determine whether there is a risk of geological rock formation shift. Data acquisition terminals with geological rock formation shift risk are marked as risk points, thereby achieving unmanned geological rock formation risk monitoring;

[0040] 2. By analyzing the stress parameters at the location of the data acquisition terminal, the influence of the stress parameters of each data acquisition terminal on the stress parameters of other data acquisition terminals is obtained, and based on this influence and the offset risk coefficient of each risk data source, each risk data source is marked with a risk level. The present invention eliminates data interference between data acquisition terminals and uses this interference to indirectly determine the risk level of the risk point. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0042] Figure 1 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] like Figure 1 As shown, a migration risk early warning system applied to geological rock formations includes:

[0044] Data acquisition module, used to obtain geological environment data of the target geological rock formation area;

[0045] A data processing module is used to process the acquired geological environment data and construct a dynamic stress model corresponding to the target geological rock formation area;

[0046] A data analysis module is used to perform migration risk analysis on various locations within the target geological formation area based on the obtained dynamic stress model;

[0047] The risk warning module is used to mark risk points in the target geological rock formation area based on the results of the offset risk analysis.

[0048] In the specific implementation process, the data acquisition module is composed of several data acquisition terminals, which are arranged at various locations within the target geological rock formation to obtain the geological environment data at the location;

[0049] Among them, geological environment data include stress parameters, displacement parameters and tilt parameters. Stress parameters specifically include stress value and stress direction, displacement parameters include horizontal displacement and vertical displacement, and tilt parameters specifically include tilt angle.

[0050] In the specific implementation process, the data processing module processes the acquired geological environment data and constructs a dynamic stress model corresponding to the target geological rock formation area. The process includes:

[0051] Construct a three-dimensional model of the base rock layer according to a fixed ratio for the target geological rock layer, and generate corresponding simulated geological rock layers at corresponding positions in the three-dimensional model of the base rock layer according to the structure within the target geological rock layer;

[0052] Mapping the data acquisition terminals placed at various locations within the target geological strata onto the three-dimensional model of the underlying strata to generate a simulated data source, and importing the geological environment data acquired by each data acquisition terminal into the simulated data source;

[0053] Setting corresponding geological standard parameters for the simulated geological strata at the location of each simulation data source, the geological standard parameters including a horizontal standard stress direction, a vertical standard stress direction, a horizontal standard stress threshold range in the horizontal standard stress direction, a vertical standard stress threshold range in the vertical standard stress direction, a horizontal displacement threshold, a vertical displacement threshold, and an inclination angle threshold;

[0054] The obtained geological environment data are compared with the corresponding geological standard parameters to obtain the geological environment difference, and the obtained geological environment difference is mapped to the corresponding simulation data source to complete the construction of the dynamic stress model.

[0055] It should be further explained that, in the specific implementation process, the specific process of obtaining the geological environment difference includes:

[0056] Select any simulated data source as the benchmark data source, and the remaining simulated data sources as the control data sources;

[0057] Label each control data source as i, where i = 1, 2, ..., n;

[0058] Obtaining the angles between the stress direction of the reference data source and the horizontal standard stress direction and the vertical standard stress direction respectively, and decomposing the stress direction of the reference data source into horizontal stress and vertical stress according to the obtained angles, and then obtaining the corresponding horizontal stress value and vertical stress value according to the stress value;

[0059] The horizontal stress and vertical stress values ​​of each comparison data source are obtained in the same way

[0060] The horizontal stress value and vertical stress value of the reference data source are marked as and ;

[0061] Get the distance between each reference data source and the benchmark data source, recorded as ;

[0062] According to the angle between the stress direction of the reference data source and the stress direction of the comparison data source, the force of each comparison data source on the stress direction of the reference data source is obtained, and then the horizontal force and vertical force corresponding to the reference data source are obtained according to the force;

[0063] The horizontal force and vertical force of the reference data source labeled i are respectively denoted as and ;

[0064] Get the comprehensive influence of all control data sources on the benchmark data source, recorded as ,in:

[0065] ;

[0066] in, is the angle between the stress direction of the reference data source and the horizontal standard stress direction, is the angle between the stress direction of the reference data source and the vertical standard stress direction, is the attenuation coefficient of force with distance;

[0067] The comprehensive influence corresponding to each simulation data source is summarized to obtain the geological environment difference of each simulation data source.

[0068] It should be further explained that the process of the data analysis module performing migration risk analysis on each location within the target geological formation area according to the obtained dynamic stress model includes:

[0069] The stress value of the simulated data source is recorded as , comparing the stress value with the horizontal standard stress threshold range and the vertical standard stress threshold range to obtain the corresponding stress difference value, which includes the horizontal stress difference value and the vertical stress difference value;

[0070] The horizontal stress difference of the simulated data source is recorded as , the vertical stress difference is recorded as ;

[0071] The horizontal displacement and vertical displacement of the simulated data source are respectively denoted as and ;

[0072] The tilt angle of the simulated data source is recorded as ;

[0073] Then the bias risk coefficient of the simulated data source is obtained, denoted as Pf, where:

[0074] ;

[0075] Among them, k1, k2, k3 are weight coefficients, is the tilt angle threshold, is the horizontal displacement threshold, is the vertical displacement threshold, is the horizontal scale factor, is the vertical scale factor, and 、 Unit and and same;

[0076] Set the risk threshold P0;

[0077] When Pf ≥ P0, it means that there is a risk of stratum migration at the location of the data acquisition terminal corresponding to the simulated data source; otherwise, there is no risk of stratum migration;

[0078] It should be further explained that, in the specific implementation process, the stress difference value is obtained by decomposing the stress direction of the simulation data source along the horizontal standard stress direction and the vertical standard stress direction to obtain the corresponding horizontal stress and vertical stress. If the directions of the horizontal stress and the vertical stress are respectively consistent with the corresponding horizontal standard stress direction and the vertical standard stress direction, the obtained horizontal stress and vertical stress are positive values, otherwise they are negative values. The horizontal stress and vertical stress are respectively compared with the horizontal standard stress threshold range and the vertical standard stress threshold range to obtain the corresponding horizontal stress difference value and vertical stress difference value.

[0079] Among them, when the horizontal stress and vertical stress are positive values, they are compared with the upper limit values ​​of the corresponding horizontal standard stress threshold range and vertical standard stress threshold range; when the horizontal stress and vertical stress are negative values, they are compared with the lower limit values ​​of the corresponding horizontal standard stress threshold range and vertical standard stress threshold range;

[0080] When the horizontal stress and vertical stress are within the corresponding horizontal standard stress threshold range and vertical standard stress threshold range, the corresponding horizontal stress difference and vertical stress difference are recorded as 0. If they are not within the corresponding horizontal standard stress threshold range and vertical standard stress threshold range, the absolute value of the corresponding difference is obtained as the corresponding horizontal stress difference and vertical stress difference.

[0081] It should be further explained that the process of the risk warning module marking risk points in the target geological rock formation area based on the offset risk analysis results includes:

[0082] Marking simulation data sources with the risk of formation migration as risky data sources;

[0083] Set several influence threshold intervals and set a corresponding influence coefficient for each influence threshold interval;

[0084] Based on the combined impact of each risk data source Match each influence threshold interval and combine the comprehensive influence The influence coefficient corresponding to the influence threshold interval is recorded as Yx. According to the obtained influence coefficient Yx and the offset risk coefficient Pf, the corresponding risk factor value is obtained, recorded as Fy, where:

[0085] Fy=m1 / Yx+m2×Pf;

[0086] Where m1 and m2 are proportional coefficients;

[0087] The risk data sources are sorted from high to low according to the obtained risk factor values, and each risk data source is marked as a risk point of different levels according to the sorting results. For example, the risk data source ranked first is recorded as the first risk point, the risk data source ranked second is recorded as the second risk point, and so on.

[0088] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any modification or equivalent replacement of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. A migration risk early warning system for geological rock formations, characterized in that: include: Data acquisition module, used to obtain geological environment data of the target geological rock formation area; A data processing module is used to process the acquired geological environment data and construct a dynamic stress model corresponding to the target geological rock formation area; A data analysis module is used to perform migration risk analysis on various locations within the target geological formation area based on the obtained dynamic stress model; The risk warning module is used to mark risk points in the target geological rock formation area based on the results of the offset risk analysis.

2. The deviation risk early warning system for geological rock formations according to claim 1, characterized in that: The data acquisition module consists of several data acquisition terminals, which are placed at various locations within the target geological rock formation to obtain geological environment data at the location; The geological environment data include stress parameters, displacement parameters and tilt parameters. The stress parameters include stress value and stress direction, the displacement parameters include horizontal displacement and vertical displacement, and the tilt parameter is the tilt angle.

3. The deviation risk early warning system for geological rock formations according to claim 2, characterized in that: The data processing module processes the acquired geological environment data and constructs a dynamic stress model corresponding to the target geological rock formation area. The process includes: Construct a three-dimensional model of the base rock layer according to a fixed ratio for the target geological rock layer, and generate corresponding simulated geological rock layers at corresponding positions in the three-dimensional model of the base rock layer according to the structure within the target geological rock layer; Mapping the data acquisition terminals placed at various locations within the target geological strata onto the three-dimensional model of the underlying strata to generate a simulated data source, and importing the geological environment data acquired by each data acquisition terminal into the simulated data source; Setting corresponding geological standard parameters for the simulated geological strata at the location of each simulation data source, the geological standard parameters including a horizontal standard stress direction, a vertical standard stress direction, a horizontal standard stress threshold range in the horizontal standard stress direction, a vertical standard stress threshold range in the vertical standard stress direction, a horizontal displacement threshold, a vertical displacement threshold, and an inclination angle threshold; The obtained geological environment data are compared with the corresponding geological standard parameters to obtain the geological environment difference, and the obtained geological environment difference is mapped to the corresponding simulation data source to complete the construction of the dynamic stress model.

4. The deviation risk early warning system for geological rock formations according to claim 3 is characterized in that: The process of obtaining geological environment difference includes: Select any simulated data source as the benchmark data source, and the remaining simulated data sources as the control data sources; Obtaining the angles between the stress direction of the reference data source and the horizontal standard stress direction and the vertical standard stress direction respectively, and decomposing the stress direction of the reference data source into horizontal stress and vertical stress according to the obtained angles, and then obtaining the corresponding horizontal stress value and vertical stress value according to the stress value; The horizontal stress value and vertical stress value of each comparison data source are obtained using the same method; Obtaining the distance between each reference data source and the benchmark data source; According to the angle between the stress direction of the reference data source and the stress direction of the comparison data source, the force of each comparison data source on the stress direction of the reference data source is obtained, and then the horizontal force and vertical force corresponding to the reference data source are obtained according to the force; Then we can obtain the comprehensive influence of all control data sources on the benchmark data source. ; The comprehensive influence corresponding to each simulation data source is summarized to obtain the geological environment difference of each simulation data source.

5. The deviation risk early warning system for geological rock formations according to claim 4 is characterized in that: The process of the data analysis module performing migration risk analysis on each location within the target geological formation area according to the obtained dynamic stress model includes: Compare the stress value of the simulated data source with the horizontal standard stress threshold range and the vertical standard stress threshold range to obtain the corresponding horizontal stress difference value and vertical stress difference value; According to the horizontal stress difference, vertical stress difference, horizontal displacement, vertical displacement and tilt angle of the simulation data source; Obtaining the bias risk coefficient Pf of the simulated data source; Set the risk threshold P0; When Pf ≥ P0, it means that there is a risk of stratum migration at the location of the data acquisition terminal corresponding to the simulated data source; otherwise, there is no risk of stratum migration.

6. The deviation risk early warning system for geological rock formations according to claim 5, characterized in that: The horizontal stress difference and vertical stress difference are obtained by decomposing the stress direction of the simulation data source along the horizontal standard stress direction and the vertical standard stress direction to obtain the corresponding horizontal stress and vertical stress. If the directions of the horizontal stress and the vertical stress are respectively consistent with the corresponding horizontal standard stress direction and the vertical standard stress direction, the obtained horizontal stress and vertical stress are positive values, otherwise they are negative values. The horizontal stress and vertical stress are compared with the horizontal standard stress threshold range and the vertical standard stress threshold range to obtain the corresponding horizontal stress difference and vertical stress difference. When the horizontal stress and vertical stress are within the corresponding horizontal standard stress threshold range and vertical standard stress threshold range, the corresponding horizontal stress difference and vertical stress difference are recorded as 0. If they are not within the corresponding horizontal standard stress threshold range and vertical standard stress threshold range, the absolute value of the corresponding difference is obtained as the corresponding horizontal stress difference and vertical stress difference.

7. The deviation risk warning system for geological rock formations according to claim 6, characterized in that: The process of marking risk points in the target geological formation area according to the deviation risk analysis results by the risk warning module includes: Marking simulation data sources with the risk of formation migration as risky data sources; Set several influence threshold intervals and set a corresponding influence coefficient for each influence threshold interval; Match the comprehensive influence of each risk data source with each influence threshold interval, and obtain the corresponding risk factor value based on the obtained influence coefficient and offset risk coefficient; The risk data sources are sorted from high to low according to the obtained risk factor values, and each risk data source is marked as a risk point of different levels according to the sorting results.

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