Rock mass catastrophe early warning method and device based on radon gas concentration

Abstract

The invention relates to the technical field of underground engineering stability and safety detection, in particular to a rock mass catastrophe early warning method and device based on radon gas concentration, and the method comprises the steps: obtaining the actual radon gas concentration and actual growth rate of the radon gas of a target rock mass at a monitoring point; obtaining a catastrophe early warning grade evaluation result based on the actual radon gas concentration and the actual growth rate; obtaining a rock mass catastrophe grade evaluation result through a concentration difference value between a first radon gas concentration corresponding to the early warning signal point and a second radon gas concentration corresponding to the instability failure point; based on a time difference value between first time corresponding to the first radon gas concentration and second time corresponding to the second radon gas concentration, obtaining an early warning effectiveness evaluation result; and obtaining a final early warning evaluation result of the target rock mass. Therefore, the problem that research and application in rock mass catastrophe early warning are limited due to the fact that precision is limited, response lags, the coverage range is limited and the adaptability to the complex environment is poor in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of underground engineering stability safety detection, and in particular to a rock mass disaster early warning method and device based on radon gas concentration. Background Art

[0002] Natural processes and human engineering activities, such as earthquakes, landslides, underground mining, tunneling and underground cavern construction, usually cause rock deformation, which leads to the accumulation of damage and may eventually evolve into catastrophic consequences. Early warning and forecasting of rock mass disasters is one of the difficult problems and focuses in the fields of geological disaster research, engineering construction and resource development. Its complexity stems from the diversity and nonlinear characteristics of the disaster process, as well as the coupling effect between the internal structure of the rock mass and the external environmental conditions.

[0003] In the related technology, it is possible to arrange monitoring holes and install online radon detectors to obtain the radon gas concentration before the ground stress causes the rock to crack. After the rock mass is subjected to external stress, the slight changes in the radon gas concentration at the monitoring points are monitored in real time. By analyzing the radon gas concentration change curve, it is determined whether the rock mass is cracked and unstable, and a threshold is set to issue a warning. It is also possible to bury the gas extractors at the corresponding radon gas measuring points, and seal all the gas extractors with the corresponding air inlets on the electric air pump, and seal the air outlet of the electric air pump with the radon detector. By setting the measurement time on the radon detector, the electric air pump and the radon detector start running at the same time and a corresponding air inlet is opened, and the radon gas concentration at each radon gas measuring point is measured in turn, so as to obtain the dynamic change process of the radon gas concentration at all radon gas measuring points.

[0004] However, although the relevant technologies have revealed the evolution process of rock mass before instability to a certain extent, their limitations lie in limited accuracy, delayed response, limited coverage and poor adaptability to complex environments, resulting in limited research and application in rock mass disaster early warning, and further development and promotion are urgently needed. Summary of the invention

[0005] The present application provides a rock mass disaster warning method and device based on radon gas concentration to solve the problems in related technologies such as limited accuracy, delayed response, limited coverage and poor adaptability to complex environments, which lead to limited research and application in rock mass disaster warning.

[0006] A first aspect of the present application provides a rock mass disaster warning method based on radon gas concentration, comprising the following steps: obtaining an actual radon gas concentration and an actual growth rate of radon gas at at least one monitoring point of a target rock mass; obtaining a disaster warning level assessment result of the target rock mass based on the actual radon gas concentration and the actual growth rate; obtaining a rock mass disaster level assessment result of the target rock mass based on a concentration difference between a first radon gas concentration when the actual radon gas concentration is at a warning signal point and a second radon gas concentration when the actual radon gas concentration is at an unstable failure point; obtaining a warning effectiveness assessment result of the target rock mass based on a time difference between a first time corresponding to the first radon gas concentration and a second time corresponding to the second radon gas concentration; obtaining a final warning assessment result of the target rock mass based on the disaster warning level assessment result, the rock mass disaster level assessment result and the warning effectiveness assessment result.

[0007] Optionally, in one embodiment of the present application, before obtaining the actual radon gas concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass, it also includes: obtaining geological survey data of the area corresponding to the target rock mass; collecting disaster monitoring data of the area corresponding to the target rock mass; and determining the at least one monitoring point based on the geological survey data and the disaster monitoring data.

[0008] Optionally, in one embodiment of the present application, the disaster warning level assessment result of the target rock mass is obtained based on the actual radon gas concentration and the actual growth rate, including: when the actual radon gas concentration is within a first preset radon gas concentration interval, and the actual growth rate is within the first preset growth rate interval, determining that the disaster warning level assessment result is a normal monitoring result; when the actual radon gas concentration is within a second preset radon gas concentration interval, and the actual growth rate is within the second preset growth rate interval, determining that the disaster warning level assessment result is a caution level warning result; and when the actual radon gas concentration is within a second preset radon gas concentration interval, and the actual growth rate is within the second preset growth rate interval. When the actual radon gas concentration is within the third preset radon gas concentration interval and the actual growth rate is within the third preset growth rate interval, the disaster warning level assessment result is determined to be a warning-level warning result; when the actual radon gas concentration is within the fourth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval, the disaster warning level assessment result is determined to be a warning-level warning result; when the actual radon gas concentration is within the fifth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval, the disaster warning level assessment result is determined to be an alarm-level warning result.

[0009] Optionally, in one embodiment of the present application, the rock mass disaster level assessment result of the target rock mass is obtained based on the concentration difference between the first radon gas concentration when the actual radon gas concentration is at the warning signal point and the second radon gas concentration when the actual radon gas concentration is at the instability failure point, including: determining the warning signal point and the instability failure point based on the disaster warning level assessment result; respectively obtaining the first radon gas concentration at the warning signal point and the second radon gas concentration at the instability failure point; when the actual radon gas concentration is equal to the first radon gas concentration and the second radon gas concentration, respectively, obtaining the rock mass disaster level assessment result based on the concentration difference between the first radon gas concentration and the second radon gas concentration.

[0010] Optionally, in one embodiment of the present application, the early warning effectiveness evaluation result of the target rock mass is obtained based on the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration, including: using the time difference to determine whether the target personnel meets the preset safe evacuation conditions; if the target personnel meets the preset safe evacuation conditions, obtaining the early warning effectiveness evaluation result based on the time difference; if the target personnel does not meet the preset safe evacuation conditions, readjusting the time difference based on the preset safe evacuation conditions until the target personnel meets the preset safe evacuation conditions, so as to obtain the early warning effectiveness evaluation result based on the time difference.

[0011] Optionally, in one embodiment of the present application, the calculation formula of the actual growth rate may be, but is not limited to,:

[0012]

[0013] Wherein, C(i) represents the radon concentration at the i-th monitoring point, C(i-1) represents the radon concentration at the (i-1)-th monitoring point, and Δt represents the time required to measure a radon data.

[0014] A second aspect of the present application provides a rock mass disaster warning device based on radon gas concentration, comprising: a first acquisition module, used to obtain the actual radon gas concentration and the actual growth rate of radon gas at at least one monitoring point of the target rock mass; a first generation module, used to obtain the disaster warning level assessment result of the target rock mass based on the actual radon gas concentration and the actual growth rate; a second generation module, used to obtain the rock mass disaster level assessment result of the target rock mass based on the concentration difference between the first radon gas concentration when the actual radon gas concentration is located at the warning signal point and the second radon gas concentration when the actual radon gas concentration is located at the unstable failure point; a third generation module, used to obtain the warning effectiveness assessment result of the target rock mass based on the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration; a fourth generation module, used to obtain the final warning assessment result of the target rock mass based on the disaster warning level assessment result, the rock mass disaster level assessment result and the warning effectiveness assessment result.

[0015] Optionally, in one embodiment of the present application, it also includes: a second acquisition module, used to obtain geological survey data of the area corresponding to the target rock mass before obtaining the actual radon gas concentration and the actual growth rate of radon gas at at least one monitoring point of the target rock mass; a collection module, used to collect disaster monitoring data of the area corresponding to the target rock mass; a determination module, used to determine the at least one monitoring point based on the geological survey data and the disaster monitoring data.

[0016] Optionally, in one embodiment of the present application, the first generating module includes: a first determining unit, used to determine that the disaster warning level assessment result is a normal monitoring result when the actual radon gas concentration is within a first preset radon gas concentration interval and the actual growth rate is within the first preset growth rate interval; a second determining unit, used to determine that the disaster warning level assessment result is a caution level warning result when the actual radon gas concentration is within a second preset radon gas concentration interval and the actual growth rate is within the second preset growth rate interval; a third determining unit, used to determine that the disaster warning level assessment result is a caution level warning result when the actual radon gas concentration is within a third preset radon gas concentration interval. The fourth determining unit is used for determining that the disaster warning level assessment result is a warning-level warning result when the actual radon gas concentration is in the fourth preset radon gas concentration interval and the actual growth rate is in the fifth preset growth rate interval; the fifth determining unit is used for determining that the disaster warning level assessment result is an alarm-level warning result when the actual radon gas concentration is in the fifth preset radon gas concentration interval and the actual growth rate is in the fifth preset growth rate interval.

[0017] Optionally, in one embodiment of the present application, the second generation module includes: a sixth determination unit, used to determine the warning signal point and the instability failure point based on the disaster warning level assessment result; an acquisition unit, used to respectively acquire the first radon gas concentration at the warning signal point and the second radon gas concentration at the instability failure point; a first generation unit, used to obtain the rock disaster level assessment result based on the concentration difference between the first radon gas concentration and the second radon gas concentration when the actual radon gas concentration is equal to the first radon gas concentration and the second radon gas concentration, respectively.

[0018] Optionally, in one embodiment of the present application, the third generation module includes: a judgment unit, used to use the time difference to judge whether the target person meets the preset safe evacuation condition; a second generation unit, used to obtain the early warning effectiveness evaluation result based on the time difference when the target person meets the preset safe evacuation condition; a third generation unit, used to readjust the time difference based on the preset safe evacuation condition when the target person does not meet the preset safe evacuation condition, until the target person meets the preset safe evacuation condition, so as to obtain the early warning effectiveness evaluation result based on the time difference.

[0019] Optionally, in one embodiment of the present application, the calculation formula of the actual growth rate may be, but is not limited to,:

[0020]

[0021] Wherein, C(i) represents the radon concentration at the i-th monitoring point, C(i-1) represents the radon concentration at the (i-1)-th monitoring point, and Δt represents the time required to measure a radon data.

[0022] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the rock disaster warning method based on radon gas concentration as described in the above embodiment.

[0023] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the above-mentioned rock disaster warning method based on radon gas concentration.

[0024] The fifth aspect of the present application provides a computer program product, including a computer program, which, when executed, implements the above-mentioned rock disaster warning method based on radon gas concentration.

[0025] The embodiment of the present application can obtain the disaster warning level assessment result of the target rock mass according to the actual radon concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass, and obtain the rock mass disaster level assessment result of the target rock mass by using the concentration difference between the first radon concentration at the warning signal point and the second radon concentration when the actual radon concentration is at the instability failure point, and then obtain the warning effectiveness assessment result of the target rock mass by the time difference between the first time corresponding to the first radon concentration and the second time corresponding to the second radon concentration, so as to obtain the final warning assessment result of the target rock mass, and invert the deformation and damage degree of the rock mass by real-time monitoring and analyzing the dynamic change of radon concentration, quantify the evolution process of rock mass deformation and damage and potential disaster risk, provide a new idea for rock mass stability assessment, more comprehensively evaluate and grasp the internal damage degree, and also support remote control function, greatly improve the convenience of operation. Thus, the problems of limited accuracy, delayed response, limited coverage and poor adaptability to complex environment in related technologies, which lead to limited research and application in rock mass disaster warning, are solved.

[0026] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0028] Figure 1 A block diagram illustrating a physical background according to an embodiment of the present application;

[0029] Figure 2 A flow chart of a rock mass disaster early warning method based on radon gas concentration provided according to an embodiment of the present application;

[0030] Figure 3 A flowchart for determining at least one monitoring point according to an embodiment of the present application;

[0031] Figure 4 A schematic diagram of the evolution characteristics of the radon concentration change rate over time and the early warning division according to an embodiment of the present application;

[0032] Figure 5 A schematic diagram of a block diagram of a time evolution characteristic based on radon concentration as a precursor of rock deformation and failure provided according to an embodiment of the present application;

[0033] Figure 6 A flowchart of the working principle of a rock mass disaster early warning method based on radon gas concentration provided according to an embodiment of the present application;

[0034] Figure 7 A block diagram of a rock mass disaster early warning device based on radon gas concentration provided according to an embodiment of the present application;

[0035] Figure 8 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0036] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0037] The following describes the rock disaster warning method and device based on radon gas concentration according to the embodiment of the present application with reference to the accompanying drawings. In view of the problems mentioned in the above background technology, such as limited accuracy, delayed response, limited coverage and poor adaptability to complex environments, which lead to limited research and application in rock disaster warning, the present application provides a rock disaster warning method based on radon gas concentration. In this method, the disaster warning level assessment result of the target rock mass can be obtained based on the actual radon gas concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass, and the concentration difference between the first radon gas concentration at the warning signal point and the second radon gas concentration when the actual radon gas concentration is at the unstable failure point can be used to obtain The rock mass disaster level assessment result of the target rock mass is obtained, and then the warning effectiveness assessment result of the target rock mass is obtained through the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration, so as to obtain the final warning assessment result of the target rock mass. By real-time monitoring and analyzing the dynamic changes of radon gas concentration, the deformation and damage degree of the rock mass are inverted, and the deformation and damage evolution process of the rock mass and the potential disaster risk are quantified, which provides a new idea for rock mass stability assessment, more comprehensively evaluates and grasps the internal damage degree. In addition, it also supports remote control function, which greatly improves the convenience of operation. In this way, the problems of limited accuracy, delayed response, limited coverage and poor adaptability to complex environments in related technologies, which lead to limited research and application in rock mass disaster warning, are solved.

[0038] Before introducing the rock mass disaster early warning method based on radon gas concentration proposed in the embodiment of the present application, the physical principles involved in the embodiment of the present application are first explained.

[0039] Specifically, the embodiment of the present application aims to monitor and analyze the dynamic signal of radon gas concentration to invert the deformation and damage degree of rock mass in real time, and then predict the potential risk of rock mass disaster. Figure 1As shown, the main content can be: during the deformation and damage evolution of the rock mass, its microstructure undergoes significant changes (such as crack expansion, porosity increase and particle crushing, etc., which are not specifically limited in this application), resulting in a gradual increase in the specific surface area, which makes the recoil release rate of radon atoms (such as Figure 1 It can be understood that the embodiment of the present application can invert the deformation and damage degree of the rock mass and quantify its evolution process and potential catastrophic risk through real-time monitoring and refined analysis of the dynamic changes of radon gas concentration.

[0040] Specifically, Figure 2 The present invention is a flowchart of a rock mass disaster early warning method based on radon gas concentration provided according to an embodiment of the present application.

[0041] like Figure 2 As shown, the rock mass disaster early warning method based on radon gas concentration includes the following steps:

[0042] In step S201, the actual radon concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass are obtained. The calculation formula of the actual growth rate may be, but is not limited to,:

[0043]

[0044] Wherein, C(i) represents the radon concentration at the i-th monitoring point, C(i-1) represents the radon concentration at the (i-1)-th monitoring point, and Δt represents the time required to measure a radon data.

[0045] It is understood that in the present embodiment, radon gas (which can be understood as an isotope of radon) 222 Rn) is an inert radioactive gas that is emitted from rocks. 238 U radioactive elements in the decay chain 226 Ra is produced through alpha decay. During the evolution of rock deformation and damage (such as crack expansion, porosity increase, and particle crushing), its internal microstructure will change significantly, which enhances the release rate of radon gas and may significantly change its migration pattern, leading to an abnormal increase in radon gas concentration.

[0046] In addition, it should be noted that the radon gas in the embodiment of the present application has the geophysical and chemical properties of an inert gas, and is transmitted and accumulated in rock fracture zones, cracks and faults, and can generally migrate by diffusion, convection or a combination of both to form radioactive radon gas anomalies. In other words, in the embodiment of the present application, the change in radon gas concentration can be considered as a sensitive precursor signal of rock deformation and damage, and then the deformation and damage degree of the rock mass can be inverted by real-time monitoring of the dynamic changes in radon gas concentration, and then the rock mass evolution process and potential catastrophic risks can be quantified.

[0047] In addition, in the embodiments of the present application, the monitoring of the actual radon gas concentration at at least one monitoring point may include but is not limited to continuous monitoring, multi-parameter synchronous monitoring, and data storage and processing, etc., and the present application does not impose specific limitations.

[0048] Among them, continuous monitoring can be understood as long-term continuous monitoring of the radon gas concentration in the monitoring point or monitoring area, wherein the sampling interval can be set by technicians in this field according to actual conditions, and this application does not make specific restrictions, such as sampling once an hour, thereby capturing the dynamic changes in radon gas concentration.

[0049] Multi-parameter synchronous monitoring can be understood as a radon gas concentration signal, and combined with other environmental parameters in the monitoring point or monitoring area (such as temperature, humidity, air pressure, etc., which are not specifically limited in this application), possible interference factors are corrected to ensure data accuracy.

[0050] Data storage and processing can be understood as uploading the monitoring data to the cloud database through the data acquisition platform, and using automated data processing technology to pre-process the collected radon gas concentration data (such as denoising, smoothing, error analysis, etc., which are not specifically limited in this application).

[0051] As a possible implementation method, the embodiment of the present application can first determine the monitoring point of the target rock mass, and then obtain the actual radon concentration and actual growth rate of radon gas at the monitoring point, and then evaluate the deformation and damage degree of the rock mass based on the change characteristics of the radon concentration signal.

[0052] Exemplarily, the embodiment of the present application can first analyze the background value of radon gas concentration (radon gas concentration value when the target rock mass is not deformed) and the deviation from the background value of each monitoring point, and then obtain the relative deviation of radon gas concentration relative to the background value, and the calculation formula can be but not limited to:

[0053]

[0054] Where, C(i) represents the radon concentration at the i-th monitoring point, C 0 represents the background value, N represents the total number of monitoring points during the monitoring background value period, and σ(i) represents the relative deviation between the radon concentration at the ith measuring point and the initial value of the radon concentration.

[0055] Furthermore, the embodiment of the present application can calculate the actual growth rate C' of the radon gas concentration, and the calculation time can be but is not limited to:

[0056]

[0057] Among them, C(i-1) represents the radon gas concentration at the (i-1)th monitoring point, Δt represents the time required for measuring a radon data, and according to the technical specifications of the radon detector XX, for long-term monitoring, the embodiment of the present application can be set to 30 minutes. The specific setting can be made by technicians in this field according to actual conditions, and this application does not make any specific restrictions.

[0058] Optionally, in one embodiment of the present application, before obtaining the actual radon gas concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass, it also includes: obtaining geological survey data of the area corresponding to the target rock mass; collecting disaster monitoring data of the area corresponding to the target rock mass; and determining at least one monitoring point based on the geological survey data and the disaster monitoring data.

[0059] In the actual implementation process, the process of determining at least one monitoring point in the embodiment of the present application is as follows: Figure 3 As shown, the main steps are:

[0060] Step S301: Engineering geological survey and data collection and analysis.

[0061] Among them, in the embodiments of the present application, engineering geological survey and data collection and analysis may include but are not limited to geological surveys, historical data collection and analysis and preliminary evaluation, etc., and the present application does not make specific restrictions.

[0062] Geological survey can be understood as a comprehensive engineering geological survey of the target rock mass, determining the target area of ​​the target rock mass, and focusing on analyzing the geological structure characteristics, rock mass properties (such as fracture distribution, porosity, composition, etc., which are not specifically restricted in this application) and external environmental conditions (such as rainfall, seismic activity, etc., which are not specifically restricted in this application) of the target area.

[0063] The establishment of a basic database can be understood as integrating the existing monitoring data of the target area, including landslides, earthquake records and other geological disaster-related information, etc. This application does not impose specific restrictions, and then establishing a basic database for the target area.

[0064] Analysis and preliminary assessment can be understood as a comprehensive analysis of the geological background of the target rock mass, identifying potential disaster risk areas, and then determining the target area for monitoring the target rock mass.

[0065] Step S302: Monitoring point selection and platform construction.

[0066] Among them, in the embodiments of the present application, monitoring point selection and platform construction may include but are not limited to monitoring point selection, sensor deployment and data acquisition platform construction, etc., and the present application does not make specific restrictions.

[0067] The selection of monitoring points can be understood as selecting key locations where rock stress is concentrated, cracks expand significantly, or disasters may occur as monitoring points based on the geological background and rock distribution characteristics of the target rock mass, combined with the basic database and risk area assessment results.

[0068] Sensor deployment can be understood as installing radon gas concentration detection sensors at monitoring points to ensure that the sensors can accurately capture the dynamic changes in radon gas concentration at the monitoring points. In addition, the deployment scheme of the sensors in the embodiments of the present application takes into account the terrain conditions, monitoring depth and spatial distribution of the monitoring points, etc., and the present application does not impose specific restrictions to achieve full coverage or key coverage.

[0069] The construction of the data acquisition platform can be understood as the establishment of a high-precision data acquisition and transmission platform, which may include but is not limited to sensor connection, data acquisition module and remote data transmission module, etc., and this application does not make specific restrictions. In addition, in the embodiment of this application, the platform also has functions such as real-time data upload, which is not specifically limited in this application, so as to carry out long-term continuous monitoring.

[0070] In step S202, a disaster warning level assessment result of the target rock mass is obtained based on the actual radon gas concentration and the actual growth rate.

[0071] In some embodiments, the embodiments of the present application can determine the disaster warning level assessment result of the target rock mass through the actual radon gas concentration and the actual growth rate.

[0072] Among them, in the embodiments of the present application, the disaster warning level assessment results may include but are not limited to normal monitoring results, attention level warning results, warning level warning results, alert level warning results and alarm level warning results, etc., and the present application does not make specific restrictions.

[0073] Optionally, in one embodiment of the present application, a disaster warning level assessment result of the target rock mass is obtained based on the actual radon gas concentration and the actual growth rate, including: when the actual radon gas concentration is within the first preset radon gas concentration interval and the actual growth rate is within the first preset growth rate interval, determining that the disaster warning level assessment result is a normal monitoring result; when the actual radon gas concentration is within the second preset radon gas concentration interval and the actual growth rate is within the second preset growth rate interval, determining that the disaster warning level assessment result is a caution level warning result; when the actual radon gas concentration is within the third preset radon gas concentration interval and the actual growth rate is within the third preset growth rate interval, determining that the disaster warning level assessment result is a warning level warning result; when the actual radon gas concentration is within the fourth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval, determining that the disaster warning level assessment result is a warning level warning result; when the actual radon gas concentration is within the fifth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval, determining that the disaster warning level assessment result is an alarm level warning result.

[0074] In some embodiments, the embodiments of the present application may utilize actual radon gas concentrations in different radon gas concentration intervals and actual growth rates in different growth rate intervals to determine the disaster warning level assessment result of the target rock mass.

[0075] Among them, different radon gas concentration intervals may include but do not include a first certain concentration interval, a second certain concentration interval, a third certain concentration interval, a fourth certain concentration interval and a fifth certain concentration interval, etc. They can be divided through experiments or in other ways. They can be specifically set by technicians in this field according to actual conditions, and this application does not make any specific restrictions.

[0076] Different growth rate intervals may include but are not limited to a first certain growth rate interval, a second certain growth rate interval, a third certain growth rate interval, a fourth certain growth rate interval and a fifth certain growth rate interval, etc. They may be divided through experiments or in other ways. They may be specifically set by technicians in this field according to actual conditions, and this application does not impose any specific restrictions.

[0077] Specifically, in the embodiments of the present application, when the actual radon gas concentration is within the first certain radon gas concentration range and the actual growth rate is within the first certain growth rate range, the evaluation result of the disaster warning level is determined as a normal monitoring result; when the actual radon gas concentration is within the second certain radon gas concentration range and the actual growth rate is within the second certain growth rate range, the evaluation result of the disaster warning level is determined as a caution-level warning result; when the actual radon gas concentration is within the third certain radon gas concentration range and the actual growth rate is within the third certain growth rate range, the evaluation result of the disaster warning level is determined as a warning-level warning result; when the actual radon gas concentration is within the fourth certain radon gas concentration range and the actual growth rate is within the fifth certain growth rate range, the evaluation result of the disaster warning level is determined as an alert-level warning result; when the actual radon gas concentration is within the fifth certain radon gas concentration range and the actual growth rate is within the fifth certain growth rate range, the evaluation result of the disaster warning level is determined as an alarm-level warning result.

[0078] Exemplarily, as shown in Figure 4 the embodiments of the present application can make a determination based on the actual radon gas concentration and the actual growth rate, and divide the evaluation result of the change warning level into multiple warning level evaluation results (such as normal monitoring, caution level, warning level, alert level, alarm level, etc., which are not specifically defined in the present application).

[0079] Further, in the embodiments of the present application, when 0 < t < t1, the evaluation result of the disaster warning level is determined as a normal monitoring result (initial undeformed stage). In this stage, the actual radon gas concentration is within the first certain radon gas concentration range, that is, it basically remains in a very low concentration range, and the actual growth rate is within the first certain growth rate range, that is, the actual growth rate is almost zero.

[0080] When t1 < t < t2, the evaluation result of the disaster warning level is determined as a caution-level warning result (constant velocity deformation stage). In this stage, the actual radon gas concentration is within the second certain radon gas concentration range, that is, the radon gas concentration gradually begins to increase, and the actual growth rate is within the second certain growth rate range, that is, the actual growth rate is small.

[0081] When t2 < t < t3, the evaluation result of the disaster warning level is determined as a warning-level warning result. In this stage, the actual radon gas concentration is within the third certain radon gas concentration range, and the actual growth rate is within the third certain growth rate range, that is, the actual growth rate exceeds a certain threshold. Here, the certain threshold can be set by those skilled in the art according to the actual situation, and the present application does not make specific limitations.

[0082] It should be noted that when the evaluation result of the disaster warning level in the embodiments of the present application is a warning-level warning result, it can be understood that there is an abnormal situation with the radon gas.

[0083] It can be understood that the embodiments of the present application can define the abnormal situation of radon gas through the relative deviation of the actual radon gas concentration and the actual growth rate: when the deviation of the actual radon gas concentration relative to the background value exceeds the threshold, and the actual growth rate exceeds the threshold, it is determined that there is an abnormal situation of radon gas. Its calculation formula can be but is not limited to being expressed as:

[0084] σ(i)>σ 阈值 , (4)

[0085] C'>C' 阈值 , (5)

[0086] Among them, σ 阈值 , C′ 阈值 respectively represent the thresholds of the relative deviation and the growth rate.

[0087] Furthermore, the embodiments of the present application can utilize the combination of the abnormal situation of radon gas (such as the deviation of the actual radon gas concentration relative to the background value and the actual growth rate) to construct a mapping relationship between the change of the radon gas concentration signal and the rock mass deformation damage, and further can provide a quantitative assessment of the degree of rock mass damage, and further provide a scientific basis for the early identification and prevention and control of disaster risks. Among them, the expression formula of the mapping relationship established based on the change characteristics of the radon gas concentration signal and the rock mass deformation damage in the embodiments of the present application can be but is not limited to:

[0088]

[0089] Among them, ω 1 , ω 2 represents the relative proportion of the evaluation influence of radon anomaly on the degree of damage.

[0090] When t3 < t < t4, it is determined that the evaluation result of the catastrophe early warning level is the warning level early warning result. At this stage, the actual radon gas concentration is in the fourth certain radon gas concentration interval, and the actual growth rate is in the fourth certain growth rate interval, that is, the actual growth rate further increases.

[0091] When t4 < t < t5, it is determined that the evaluation result of the catastrophe early warning level is the alarm level early warning result. At this stage, the actual radon gas concentration is in the fifth certain radon gas concentration interval, and the actual growth rate is in the fifth certain growth rate interval, that is, the actual growth rate is very large and is about to reach instability and failure.

[0092] Furthermore, the risk early warning of the embodiments of the present application is sent to the monitoring center in real time through the wireless communication module, and through the correlation analysis of the error analysis and the degree of damage, the application accuracy of the radon gas concentration signal in the early warning of rock mass catastrophes is further improved.

[0093] In step S203, a rock mass disaster grade assessment result of the target rock mass is obtained based on the concentration difference between a first radon gas concentration when the actual radon gas concentration is at the warning signal point and a second radon gas concentration when the actual radon gas concentration is at the instability failure point.

[0094] It can be understood that the warning signal points in the embodiment of the present application can be understood as signs that the target rock mass may begin to show slight deformation or crack expansion; the instability and failure points can be understood as the target rock mass may undergo instability and failure, such as landslides, collapses and other geological disasters. The specific settings can be made by technical personnel in this field according to actual conditions, and this application does not impose any specific restrictions.

[0095] It can be understood by those skilled in the art that, in the embodiment of the present application, when the actual radon gas concentration reaches the warning signal point and the instability failure point respectively, the rock mass disaster level assessment result of the target rock mass can be obtained according to the concentration difference between the first radon gas concentration corresponding to the warning signal point and the second radon gas concentration corresponding to the instability failure point.

[0096] Optionally, in one embodiment of the present application, based on the concentration difference between the first radon gas concentration when the actual radon gas concentration is at the warning signal point and the second radon gas concentration when the actual radon gas concentration is at the instability failure point, a rock mass disaster level assessment result of the target rock mass is obtained, including: determining the warning signal point and the instability failure point based on the disaster warning level assessment result; respectively obtaining the first radon gas concentration at the warning signal point and the second radon gas concentration at the instability failure point; when the actual radon gas concentration is equal to the first radon gas concentration and the second radon gas concentration, respectively, obtaining the rock mass disaster level assessment result based on the concentration difference between the first radon gas concentration and the second radon gas concentration.

[0097] In some embodiments, the embodiments of the present application can determine the warning signal point and the instability failure point through the disaster warning level assessment results obtained above, and then obtain the first radon gas concentration at the warning signal point and the second radon gas concentration at the instability failure point respectively, and calculate the concentration difference between the first radon gas concentration and the second radon gas concentration, so as to obtain the rock disaster level assessment result.

[0098] Exemplary, combined Figure 4 and Figure 5As shown in the figure, the change of the actual radon gas concentration in the embodiment of the present application has gone through three key stages: (1) The state of no deformation and failure (0 < t < t1): In this stage, the actual radon gas concentration remains at the baseline level without significant change, indicating that the target rock mass is in a stable state. (2) Cracks begin to appear and gradually increase (t1 < t < t2): The actual radon gas concentration begins to rise gradually. When the deviation of the actual radon gas concentration from the background value exceeds the threshold and the actual growth rate exceeds the threshold, it marks the initial generation and active growth of cracks in the target rock mass. The radon gas concentration begins to rise slowly. As the number of cracks increases and expands significantly, the radon gas concentration begins to increase steeply. (3) The stage of accelerated deformation (including the initial acceleration stage (t2 < t < t3), the middle acceleration stage (t3 < t < t4), the additional acceleration stage (t4 < t < t5), etc., which are not specifically limited in the present application): After a large number of cracks appear, the radon gas concentration rises rapidly until instability and failure occur.

[0099] Furthermore, in the embodiment of the present application, it can be seen from Figure 5 that point B is the early warning signal point and point E is the instability and failure point. According to the concentration difference between the first radon gas concentration corresponding to point B and the second radon gas concentration corresponding to point E, the evaluation result of the rock mass disaster level is obtained.

[0100] In step S204, based on the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration, the evaluation result of the early warning effectiveness of the target rock mass is obtained.

[0101] It can be understood that the first time can be understood as the time when the actual radon gas concentration reaches the early warning signal point (i.e., the first radon gas concentration); the second time can be understood as the time when the actual radon gas concentration reaches the instability and failure point (i.e., the second radon gas concentration); the time difference can be understood as the difference between the first time and the second time, which reflects the time interval from the appearance of the early warning signal to the occurrence of instability and failure of the rock mass.

[0102] As a possible implementation manner, the embodiment of the present application can calculate the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration, and then obtain the evaluation result of the early warning effectiveness of the target rock mass.

[0103] Among them, the evaluation of the early warning effectiveness can be understood as follows: The larger the time difference, the longer the time after the appearance of the early warning signal before the target rock mass undergoes instability and failure, which provides a sufficient time window for taking preventive measures and the early warning effectiveness is higher; the smaller the time difference, the shorter the time after the appearance of the early warning signal before the target rock mass undergoes instability and failure, leaving a very short time for taking preventive measures and the early warning effectiveness is lower.

[0104] Exemplarily, the embodiment of the present application combines Figure 5As shown, the time interval between the first time t2 corresponding to point B and the second time t5 corresponding to point E is used to evaluate the effectiveness of the early warning, thereby obtaining the corresponding early warning effectiveness evaluation result.

[0105] Optionally, in one embodiment of the present application, based on the time difference between a first time corresponding to a first radon gas concentration and a second time corresponding to a second radon gas concentration, an early warning effectiveness evaluation result of the target rock mass is obtained, including: using the time difference to determine whether the target personnel meets the preset safe evacuation conditions; if the target personnel meets the preset safe evacuation conditions, obtaining the early warning effectiveness evaluation result based on the time difference; if the target personnel does not meet the preset safe evacuation conditions, readjusting the time difference based on the preset safe evacuation conditions until the target personnel meets the preset safe evacuation conditions, so as to obtain the early warning effectiveness evaluation result based on the time difference.

[0106] It can be understood that the target personnel can be understood as personnel active at the target rock mass monitoring point, and can be understood as personnel active in the target rock mass deformation area. The specific setting can be made by technical personnel in this field according to actual conditions, and this application does not impose any specific restrictions.

[0107] Through the above analysis, it can be known that the embodiment of the present application can use the time difference to determine whether the target person meets certain safe evacuation conditions, and when the target person meets certain safe evacuation conditions, obtain the warning effectiveness evaluation result based on the time difference, otherwise, readjust the time difference until the target person meets certain safe evacuation conditions. Among them, the certain safe evacuation conditions can be set by technicians in this field according to actual conditions, and this application does not make specific restrictions.

[0108] Exemplary, combined Figure 5 As shown, the embodiment of the present application determines whether the time is sufficient to complete the evacuation of target personnel and safety protection measures by evaluating the time difference (i.e., t5-t2) from the appearance of the warning signal to the instability and destruction, thereby obtaining the warning effectiveness evaluation result.

[0109] In step S205, based on the disaster warning level assessment result, the rock mass disaster level assessment result and the warning effectiveness assessment result, a final warning assessment result of the target rock mass is obtained.

[0110] As a possible implementation method, the embodiment of the present application can use the disaster warning level assessment results, the rock mass disaster level assessment results and the warning effectiveness assessment results to obtain the final warning assessment results of the target rock mass.

[0111] The working principle of the rock mass disaster early warning method based on radon gas concentration proposed in the embodiment of the present application is introduced below in conjunction with a specific embodiment.

[0112] in, Figure 6 The present invention is a flow chart showing the working principle of a rock mass disaster early warning method based on radon gas concentration according to an embodiment of the present application.

[0113] Step S601: Engineering geological survey and data collection and analysis.

[0114] Among them, the embodiments of the present application are combined with Figure 3 As shown, engineering geological survey and data collection and analysis may include but are not limited to geological survey, historical data collection and analysis and preliminary evaluation, etc., and this application does not impose specific limitations.

[0115] Step S602: Monitoring point selection and platform construction.

[0116] Among them, the embodiments of the present application are combined with Figure 3 As shown, monitoring point selection and platform construction may include but are not limited to monitoring point selection, sensor deployment and data collection platform construction, etc. This application does not impose specific restrictions.

[0117] Step S603: long-term monitoring of rock mass deformation and damage evolution and radon signal.

[0118] Among them, the embodiments of the present application are combined with Figure 3 As shown, the radon signal can be monitored in real time during the evolution of rock deformation and damage, and the radon signal data can be obtained.

[0119] Step S604: preprocessing of radon signal data.

[0120] Among them, the embodiment of the present application pre-processes the radon signal data to obtain the actual radon gas concentration and actual growth rate of the target rock mass.

[0121] Step S605: Evaluate radon concentration and its growth rate.

[0122] Among them, the embodiment of the present application combines equations (1) to (6) to evaluate the radon concentration and its growth rate.

[0123] Step S606: disaster warning level assessment result.

[0124] Among them, the embodiments of the present application are combined with Figure 4 As shown, the judgment can be made based on the actual radon gas concentration and the actual growth rate, and the warning level assessment results can be divided into multiple levels of warning level assessment results (such as normal monitoring, attention level, warning level, alert level, alarm level, etc., which are not specified in this application).

[0125] Step S607: disaster level assessment result.

[0126] Among them, the embodiments of the present application are combined with Figure 5As shown, the rock mass disaster grade assessment result can be obtained according to the concentration difference between the first radon gas concentration corresponding to point B and the second radon gas concentration corresponding to point E.

[0127] Step S608: Early warning effectiveness evaluation results.

[0128] Among them, the embodiments of the present application are combined with Figure 5 As shown, the time interval between the first time t2 corresponding to point B and the second time t5 corresponding to point E can be used to evaluate the effectiveness of the early warning, thereby obtaining the corresponding early warning effectiveness evaluation result.

[0129] Step S609: The forecast achievement results are used to update the early warning key threshold parameters.

[0130] Among them, the embodiment of the present application can use the disaster warning level assessment results, rock disaster level assessment results and warning effectiveness assessment results to obtain the final warning assessment results of the target rock mass, and use the final warning assessment results to update the early warning key threshold parameters.

[0131] According to the rock mass disaster warning method based on radon gas concentration proposed in the embodiment of the present application, the disaster warning level assessment result of the target rock mass can be obtained according to the actual radon gas concentration and the actual growth rate of radon gas at at least one monitoring point of the target rock mass, and the rock mass disaster level assessment result of the target rock mass is obtained by using the concentration difference between the first radon gas concentration when it is located at the warning signal point and the second radon gas concentration when the actual radon gas concentration is located at the unstable failure point. Then, the warning effectiveness assessment result of the target rock mass is obtained by the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration, thereby obtaining the final warning assessment result of the target rock mass. By real-time monitoring and analyzing the dynamic changes of radon gas concentration, the deformation and damage degree of the rock mass are inverted, and the deformation and damage evolution process of the rock mass and the potential disaster risk are quantified, which provides a new idea for rock mass stability assessment, more comprehensively assesses and grasps the internal damage degree, and also supports remote control function, which greatly improves the convenience of operation. This solves the problems in related technologies, such as limited accuracy, delayed response, limited coverage, and poor adaptability to complex environments, which lead to limited research and application in rock disaster early warning.

[0132] Next, a rock mass disaster warning device based on radon gas concentration proposed in accordance with an embodiment of the present application will be described with reference to the accompanying drawings.

[0133] Figure 7 It is a block diagram of a rock disaster warning device based on radon gas concentration provided according to an embodiment of the present application.

[0134] like Figure 7As shown, the rock mass disaster warning device 10 based on radon gas concentration includes: a first acquisition module 100 , a first generation module 200 , a second generation module 300 , a third generation module 400 and a fourth generation module 500 .

[0135] The first acquisition module 100 is used to acquire the actual radon concentration and actual growth rate of radon at at least one monitoring point of the target rock mass.

[0136] The first generation module 200 is used to obtain a disaster warning level assessment result of the target rock mass based on the actual radon gas concentration and the actual growth rate.

[0137] The second generating module 300 is used to obtain a rock mass disaster grade assessment result of the target rock mass based on the concentration difference between a first radon gas concentration when the actual radon gas concentration is at the warning signal point and a second radon gas concentration when the actual radon gas concentration is at the instability failure point.

[0138] The third generating module 400 is used to obtain the early warning effectiveness evaluation result of the target rock mass based on the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration.

[0139] The fourth generation module 500 is used to obtain the final warning assessment result of the target rock mass based on the disaster warning level assessment result, the rock mass disaster level assessment result and the warning effectiveness assessment result.

[0140] Optionally, in one embodiment of the present application, it further includes: a second acquisition module, a collection module and a determination module.

[0141] The second acquisition module is used to acquire geological survey data of the area corresponding to the target rock mass before acquiring the actual radon concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass.

[0142] The acquisition module is used to collect disaster monitoring data of the corresponding area of ​​the target rock mass.

[0143] The determination module is used to determine at least one monitoring point based on geological survey data and disaster monitoring data.

[0144] Optionally, in one embodiment of the present application, the first generating module 200 includes: a first determining unit, a second determining unit, a third determining unit, a fourth determining unit and a fifth determining unit.

[0145] The first determination unit is used to determine that the disaster warning level assessment result is a normal monitoring result when the actual radon gas concentration is within a first preset radon gas concentration interval and the actual growth rate is within a first preset growth rate interval.

[0146] The second determining unit is used to determine that the disaster warning level assessment result is a warning result of the attention level when the actual radon gas concentration is within the second preset radon gas concentration interval and the actual growth rate is within the second preset growth rate interval.

[0147] The third determining unit is used to determine that the disaster warning level assessment result is a warning level warning result when the actual radon gas concentration is within a third preset radon gas concentration interval and the actual growth rate is within a third preset growth rate interval.

[0148] The fourth determining unit is used to determine that the disaster warning level assessment result is a warning level warning result when the actual radon gas concentration is within a fourth preset radon gas concentration interval and the actual growth rate is within a fifth preset growth rate interval.

[0149] The fifth determining unit is used to determine that the disaster warning level assessment result is an alarm-level warning result when the actual radon gas concentration is within the fifth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval.

[0150] Optionally, in one embodiment of the present application, the second generating module 300 includes: a sixth determining unit, an acquiring unit and a first generating unit.

[0151] Among them, the sixth determination unit is used to determine the warning signal points and the instability and destruction points based on the disaster warning level assessment results.

[0152] The acquisition unit is used to respectively acquire a first radon gas concentration at a warning signal point and a second radon gas concentration at an instability failure point.

[0153] The first generating unit is used to obtain a rock mass disaster grade assessment result based on a concentration difference between the first radon gas concentration and the second radon gas concentration when the actual radon gas concentration is respectively equal to the first radon gas concentration and the second radon gas concentration.

[0154] Optionally, in one embodiment of the present application, the third generation module 400 includes: a judgment unit, a second generation unit and a third generation unit.

[0155] The judgment unit is used to use the time difference to judge whether the target personnel meets the preset safe evacuation conditions.

[0156] The second generating unit is used to obtain the warning effectiveness evaluation result based on the time difference when the target personnel meets the preset safe evacuation conditions.

[0157] The third generating unit is used to readjust the time difference based on the preset safe evacuation conditions when the target personnel do not meet the preset safe evacuation conditions until the target personnel meet the preset safe evacuation conditions, so as to obtain the warning effectiveness evaluation result based on the time difference.

[0158] Optionally, in one embodiment of the present application, the calculation formula of the actual growth rate may be, but is not limited to,:

[0159]

[0160] Wherein, C(i) represents the radon concentration at the i-th monitoring point, C(i-1) represents the radon concentration at the (i-1)-th monitoring point, and Δt represents the time required to measure a radon data.

[0161] It should be noted that the above explanation of the embodiment of the rock mass disaster warning method based on radon gas concentration is also applicable to the rock mass disaster warning device based on radon gas concentration in this embodiment, which will not be repeated here.

[0162] According to the rock disaster warning device based on radon gas concentration proposed in the embodiment of the present application, the disaster warning level assessment result of the target rock mass can be obtained according to the actual radon gas concentration and the actual growth rate of radon gas at at least one monitoring point of the target rock mass, and the rock disaster level assessment result of the target rock mass is obtained by using the concentration difference between the first radon gas concentration when it is located at the warning signal point and the second radon gas concentration when the actual radon gas concentration is located at the unstable failure point. Then, the warning effectiveness assessment result of the target rock mass is obtained by the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration, thereby obtaining the final warning assessment result of the target rock mass. By real-time monitoring and analysis of the dynamic changes of radon gas concentration, the deformation and damage degree of the rock mass are inverted, and the deformation and damage evolution process of the rock mass and the potential disaster risk are quantified, which provides a new idea for rock stability assessment, more comprehensively assesses and grasps the internal damage degree, and also supports remote control function, which greatly improves the convenience of operation. This solves the problems in related technologies, such as limited accuracy, delayed response, limited coverage, and poor adaptability to complex environments, which lead to limited research and application in rock disaster early warning.

[0163] Figure 8 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. The electronic device may include:

[0164] A memory 801 , a processor 802 , and a computer program stored in the memory 801 and executable on the processor 802 .

[0165] When the processor 802 executes the program, the rock mass disaster early warning method based on radon gas concentration provided in the above embodiment is implemented.

[0166] Furthermore, the electronic device further comprises:

[0167] The communication interface 803 is used for communication between the memory 801 and the processor 802 .

[0168] The memory 801 is used to store computer programs that can be executed on the processor 802 .

[0169] The memory 801 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0170] If the memory 801, the processor 802 and the communication interface 803 are implemented independently, the communication interface 803, the memory 801 and the processor 802 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 8 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0171] Optionally, in a specific implementation, if the memory 801, the processor 802 and the communication interface 803 are integrated on a chip, the memory 801, the processor 802 and the communication interface 803 can communicate with each other through an internal interface.

[0172] The processor 802 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0173] The embodiment of the present application also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned rock disaster early warning method based on radon gas concentration is implemented.

[0174] The embodiment of the present application also provides a computer program product, including a computer program, which, when executed, implements the above-mentioned rock mass disaster early warning method based on radon gas concentration.

[0175] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0176] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0177] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0178] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0179] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0180] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0181] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0182] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A rock mass disaster early warning method based on radon gas concentration, characterized in that: The following steps are involved: Obtaining the actual radon gas concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass; Obtaining a disaster warning level assessment result of the target rock mass based on the actual radon gas concentration and the actual growth rate; Obtaining a rock mass disaster grade assessment result of the target rock mass based on a concentration difference between a first radon gas concentration when the actual radon gas concentration is at the warning signal point and a second radon gas concentration when the actual radon gas concentration is at the instability failure point; Obtaining a warning effectiveness evaluation result of the target rock mass based on a time difference between a first time corresponding to the first radon gas concentration and a second time corresponding to the second radon gas concentration; Based on the disaster warning level assessment result, the rock mass disaster level assessment result and the warning effectiveness assessment result, a final warning assessment result of the target rock mass is obtained.

2. The method according to claim 1, characterized in that: Before obtaining the actual radon gas concentration and actual growth rate of radon gas at at least one monitoring point of the target rock mass, the method further includes: Acquire geological survey data of the area corresponding to the target rock mass; Collecting disaster monitoring data of the area corresponding to the target rock mass; Based on the geological survey data and the disaster monitoring data, the at least one monitoring point is determined.

3. The method according to claim 1, characterized in that The disaster warning level assessment result of the target rock mass is obtained based on the actual radon gas concentration and the actual growth rate, including: When the actual radon gas concentration is within the first preset radon gas concentration interval, and the actual growth rate is within the first preset growth rate interval, determining that the disaster warning level assessment result is a normal monitoring result; When the actual radon gas concentration is within the second preset radon gas concentration interval, and the actual growth rate is within the second preset growth rate interval, determining that the disaster warning level assessment result is a caution level warning result; When the actual radon gas concentration is within the third preset radon gas concentration interval, and the actual growth rate is within the third preset growth rate interval, determining that the disaster warning level assessment result is a warning level warning result; When the actual radon gas concentration is within the fourth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval, determining that the disaster warning level assessment result is a warning level warning result; When the actual radon gas concentration is within the fifth preset radon gas concentration interval and the actual growth rate is within the fifth preset growth rate interval, it is determined that the disaster warning level assessment result is an alarm-level warning result.

4. The method according to claim 3, characterized in that: The rock mass disaster grade assessment result of the target rock mass is obtained based on the concentration difference between the first radon gas concentration when the actual radon gas concentration is at the warning signal point and the second radon gas concentration when the actual radon gas concentration is at the instability failure point, including: Based on the disaster warning level assessment result, determining the warning signal point and the instability failure point; Respectively obtaining a first radon gas concentration at the warning signal point and a second radon gas concentration at the instability failure point; In the case that the actual radon gas concentration is respectively equal to the first radon gas concentration and the second radon gas concentration, the rock mass disaster level assessment result is obtained based on the concentration difference between the first radon gas concentration and the second radon gas concentration.

5. The method according to claim 1, characterized in that The step of obtaining the early warning effectiveness evaluation result of the target rock mass based on the time difference between the first time corresponding to the first radon gas concentration and the second time corresponding to the second radon gas concentration includes: Using the time difference, determine whether the target personnel meet the preset safe evacuation conditions; If the target person meets the preset safe evacuation condition, the early warning effectiveness evaluation result is obtained based on the time difference; If the target person does not meet the preset safe evacuation conditions, the time difference is readjusted based on the preset safe evacuation conditions until the target person meets the preset safe evacuation conditions, so as to obtain the warning effectiveness evaluation result based on the time difference.

6. The method according to claim 1, characterized in that The calculation formula of the actual growth rate is: Wherein, C(i) represents the radon concentration at the i-th monitoring point, C(i-1) represents the radon concentration at the (i-1)-th monitoring point, and Δt represents the time required to measure a radon data.

7. A rock mass disaster early warning device based on radon gas concentration, characterized in that: include: An acquisition module, used for acquiring the actual radon concentration and actual growth rate of radon at at least one monitoring point of the target rock mass; A first generating module is used to obtain a disaster warning level assessment result of the target rock mass based on the actual radon gas concentration and the actual growth rate; A second generating module is used to obtain a rock mass disaster grade assessment result of the target rock mass based on a concentration difference between a first radon gas concentration when the actual radon gas concentration is at a warning signal point and a second radon gas concentration when the actual radon gas concentration is at an instability failure point; A third generating module, configured to obtain a warning effectiveness evaluation result of the target rock mass based on a time difference between a first time corresponding to the first radon gas concentration and a second time corresponding to the second radon gas concentration; The fourth generating module is used to obtain the final warning assessment result of the target rock mass based on the disaster warning level assessment result, the rock mass disaster level assessment result and the warning effectiveness assessment result.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the rock mass disaster early warning method based on radon gas concentration as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the rock mass disaster early warning method based on radon gas concentration as described in any one of claims 1 to 6.

10. A computer program product, characterized in that It comprises a computer program, which, when executed, is used to implement the rock mass disaster early warning method based on radon gas concentration as described in any one of claims 1 to 6.

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