Geological disaster early warning removing method and device, equipment and storage medium

Abstract

The invention provides a geological disaster early warning relieving method, device and equipment and a storage medium, and relates to the technical field of geological disaster early warning, and the method comprises the steps: obtaining the water content data, lithologic parameters and joint fissure development characteristics of a target area; on the basis of the water content data, determining the reference release time of the target area; on the basis of the lithology parameters and the joint fissure development characteristics, lithology correction factors and joint fissure correction factors of the target area are determined respectively; correcting the reference release time based on the lithology correction factor and the joint fissure correction factor to obtain the early warning release time of the target area; the early warning relieving time is used for relieving geological disaster early warning of the target area. Therefore, the accuracy of the early warning release time is improved, and geological disaster risk management under complex geological conditions is facilitated.

Description

Technical Field

[0001] The present invention relates to the field of geological disaster early warning technology, and in particular to a geological disaster early warning cancellation method, device, equipment and storage medium. Background Art

[0002] The lifting of a geological hazard warning occurs when, after assessment and monitoring, relevant geological hazard prevention and control departments confirm that the risk of a geological hazard has been reduced or eliminated, thereby lifting the previously issued warning status. Timely lifting of geological hazard warnings can avoid the resource consumption caused by maintaining a high level of alert for a long time, improve the efficiency and sustainability of the disaster prevention system, enhance public trust in the disaster prevention system, reduce "warning fatigue," and improve the efficiency of responding to subsequent warning information.

[0003] Accurate and efficient timing for lifting warnings is crucial for their success. However, existing methods for lifting warnings typically rely on empirically defined fixed rain-stopping thresholds (e.g., 48 or 72 hours after rain). This results in unscientific warning cancellation times (too early or too late), leading to disasters occurring even after the warning is lifted, or excessive defenses resulting from prolonged warning periods and wasted resources. Summary of the Invention

[0004] The present invention provides a method, device, equipment and storage medium for canceling geological disaster warnings, which are used to solve the defects in the existing technology that the warning cancellation time is unscientific, resulting in disasters still occurring after the warning is cancelled or the waste of resources caused by excessive defense due to long-term warning status, thereby improving the accuracy of the warning cancellation time and facilitating geological disaster risk management under complex geological conditions.

[0005] The present invention provides a method for releasing geological disaster early warning, comprising the following steps: Obtain water content data, lithologic parameters, and joint and fissure development characteristics of the target area; Determining a reference release time of the target area based on the water content data; and determining a lithology correction factor and a joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; The benchmark release time is corrected based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; the warning release time is used to release the geological disaster warning of the target area.

[0006] According to a method for releasing geological disaster warning provided by the present invention, based on the moisture content data, determining the benchmark release time of the target area includes: constructing a moisture content attenuation model for the target area based on the time series of the moisture content data; Determining a reference release time for the target area based on the moisture content attenuation model and a critical moisture content value of the target area; The critical moisture content value is the lowest moisture content value at the time when the historical geological disaster samples of the target area occurred.

[0007] According to a geological disaster early warning cancellation method provided by the present invention, the moisture content attenuation model is expressed by the following formula: Where, Indicates that the rain has stopped The moisture content value of the target area after a certain period of time; Indicates the initial moisture content value of the target area when the rain stops; is a natural constant; represents the attenuation coefficient of moisture content; The reference release time of the target area is determined based on the following formula: Where, Indicates the benchmark release time of the target area; Indicates the critical moisture content value of the target area.

[0008] According to a geological disaster early warning cancellation method provided by the present invention, based on the lithologic parameters and the joint and fissure development characteristics, the lithologic correction factor and the joint and fissure correction factor of the target area are determined respectively, including: Determining a lithologic correction factor for the target area based on the composition of the lithologic minerals, the pore structure of the lithologic minerals, the strength parameters of the lithologic minerals, and the permeability coefficient of the lithologic minerals in the target area; and Based on the joint and fissure density and the joint connectivity rate of the target area, a joint and fissure correction factor of the target area is determined.

[0009] According to a method for lifting geological disaster early warning provided by the present invention, the joint and fissure correction factor of the target area is determined based on the following formula: Where, Indicates the joint and crack correction factor of the target area; Indicates the density of joints and cracks in the target area; Indicates the joint connectivity rate of the target area; and is the weight coefficient.

[0010] According to a method for canceling geological disaster early warning provided by the present invention, the method further includes: Based on the warning release time of the target area, a geological disaster warning release time cloud map of the target area is obtained.

[0011] The present invention also provides a geological disaster early warning cancellation device, comprising the following modules: Acquisition module, used to obtain water content data, lithology parameters and joint and fissure development characteristics of the target area; a determination module for determining a reference release time of the target area based on the water content data; and determining a lithology correction factor and a joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; A correction module is used to correct the benchmark release time based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; the warning release time is used to release the geological disaster warning in the target area.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements any of the geological disaster warning cancellation methods described above.

[0013] The present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, it implements any of the geological disaster warning cancellation methods described above.

[0014] The present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements any of the geological disaster warning cancellation methods described above.

[0015] The geological disaster warning cancellation method, device, equipment and storage medium provided by the present invention collect moisture content data, lithology parameters and joint and fissure development characteristics in real time, determine the benchmark cancellation time according to the moisture content data, and then correct it according to the lithology correction factor and the joint and fissure correction factor to achieve accurate calculation of the warning cancellation time, solve the problems caused by the traditional method relying on a fixed rain stop time threshold, improve the scientificity and timeliness of disaster risk management under complex geological conditions, and effectively avoid the delayed disaster risk caused by premature cancellation or the waste of resources and public warning fatigue caused by too late cancellation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 It is a flow chart of the geological disaster early warning cancellation method provided by the present invention.

[0018] Figure 2 It is a schematic diagram of a coupling diagram between rainfall and moisture content provided by the present invention.

[0019] Figure 3 It is a structural schematic diagram of the geological disaster early warning release device provided by the present invention.

[0020] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0021] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0022] Figure 1 Schematic diagram of the process of the geological disaster early warning release method provided by the present invention, such as Figure 1 As shown, the method includes the following steps: Step 100: Obtain water content data, lithologic parameters, and joint and fissure development characteristics of the target area.

[0023] Step 101: Determine the benchmark release time of the target area based on the water content data; and determine the lithology correction factor and the joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics.

[0024] Step 102: Correct the benchmark release time based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time for the target area; the warning release time is used to release the geological disaster warning for the target area.

[0025] Specifically, in the embodiment of the present invention, the target area refers to any area where geological disaster warning is issued due to excessive rainfall, such as a warning area where collapse or landslide disasters may occur.

[0026] It can be understood that the target area may refer to a partial area where sampling is carried out in the overall area for geological disaster warning. In this case, the target area only corresponds to the result of one warning release time; or, the target area may refer to the overall area for geological disaster warning. In this case, the target area may include multiple sampling points. The moisture content data, lithologic parameters and joint and fissure development characteristics of different sampling points are different, so the corresponding warning release time results are also different. The target area corresponds to the results of multiple warning release times.

[0027] The warning cancellation time for the target area refers to the length of time from the stop of rain in the target area to the cancellation of the warning.

[0028] First, the target area's moisture content data can be collected in real time, along with the lithologic parameters and joint and fissure development characteristics of the target area. Moisture content data can be directly acquired using soil moisture monitoring equipment, such as time domain reflectometry (TDR) or frequency domain reflectometry (FDR), to reflect the wetness of the rock mass in the target area. Lithologic parameters refer to the physical properties of the target area's rocks, including mineral composition, pore structure, and permeability, and can be determined using geological survey or exploration data. Joint and fissure development characteristics refer to the developmental characteristics of joints and fissures in the rock mass, and can be acquired through on-site geological surveys, 3D laser scanning, and drilling data.

[0029] Then, based on the real-time collected water content data of the target area, the benchmark release time can be determined in combination with a preset model or empirical formula. The benchmark release time is used to reflect the benchmark value of the warning release time under ideal or default geological conditions.

[0030] At the same time, the lithology correction factor can be calculated through the lithology parameters. This factor is used to quantify the impact of the physical properties of the rock on the warning lifting time. For example, low-permeability lithology drains slowly, which requires extending the time required to lift the warning. The corresponding lithology correction factor value is greater than 1, while high-permeability lithology drains quickly, which can shorten the time required to lift the warning. The corresponding lithology correction factor value is less than 1.

[0031] The joint and fissure correction factor can be calculated based on the joint and fissure development characteristics. This factor reflects the impact of the degree of joint and fissure development on the warning lifting time. For example, if the degree of joint and fissure development is high, the time required to lift the warning needs to be extended, and the corresponding joint and fissure correction factor value is greater than 1. If the degree of joint and fissure development is low, the time required to lift the warning can be shortened, and the corresponding joint and fissure correction factor value is less than 1.

[0032] By multiplying the lithology correction factor and the joint and fissure correction factor with the benchmark release time and taking the rock structure characteristics of the target area into consideration, the warning release time that conforms to the geological characteristics of the target area can be obtained, and the warning can be lifted according to the warning release time of the target area.

[0033] The geological disaster early warning cancellation method provided by the present invention collects moisture content data, lithology parameters and joint and fissure development characteristics in real time, determines the benchmark cancellation time according to the moisture content data, and then corrects it according to the lithology correction factor and the joint and fissure correction factor to achieve accurate calculation of the early warning cancellation time, solving the problems caused by the traditional method relying on a fixed rain stop time threshold, improving the scientificity and timeliness of disaster risk management under complex geological conditions, and effectively avoiding the delayed disaster risk caused by premature cancellation or the waste of resources and public early warning fatigue caused by too late cancellation.

[0034] According to the present invention, a method for lifting geological disaster warning is provided, which determines a benchmark lifting time of a target area based on water content data, including: Based on the time series of moisture content data, a moisture content attenuation model for the target area is constructed; Determine the benchmark release time of the target area based on the moisture content attenuation model and the critical moisture content value of the target area; Among them, the critical moisture content value is the lowest moisture content value at the time when the historical geological disaster samples in the target area occurred.

[0035] Specifically, when determining the benchmark release time, embodiments of the present invention first construct a moisture-cut decay model based on a time series of real-time moisture-cut data (e.g., hourly moisture-cut records). This model analyzes the current moisture-cut variation patterns in the target area and quantifies the trend of moisture-cut decrease over time.

[0036] In some embodiments, the moisture content decay model can be expressed by the following formula: Where, Indicates that the rain has stopped The moisture content value of the target area after a certain period of time; Indicates the initial moisture content value of the target area when the rain stops; is a natural constant; Indicates the attenuation coefficient of water content, which is related to the permeability of rock and soil, such as 0.1h -1 .

[0037] Then, the critical moisture content value of the target area can be combined with the constructed moisture content attenuation model to perform reverse calculation to determine the benchmark release time.

[0038] Among them, the critical moisture content value is the lowest moisture content value at the time when the historical geological disaster samples in the target area occurred. This value is used to indicate the critical point where the geology of the target area changes from an unstable state to a stable state. When the moisture content value of the target area is lower than this value, the probability of a geological disaster occurring is low.

[0039] In the moisture content attenuation model, In the case of , the benchmark release time of the target area can be determined based on the following formula: Where, Indicates the benchmark release time of the target area; Indicates the initial moisture content value of the target area when the rain stops; Indicates the attenuation coefficient of water content, which is related to the permeability of rock and soil, such as 0.1 h -1 ; Indicates the critical moisture content value of the target area.

[0040] According to a geological disaster early warning cancellation method provided by the present invention, based on lithologic parameters and joint and fissure development characteristics, a lithologic correction factor and a joint and fissure correction factor of a target area are determined respectively, including: Determining a lithologic correction factor for the target area based on the composition of the lithologic minerals, the pore structure of the lithologic minerals, the strength parameters of the lithologic minerals, and the permeability coefficient of the lithologic minerals in the target area; and, Based on the joint and fissure density and joint connectivity of the target area, the joint and fissure correction factor of the target area is determined.

[0041] Specifically, the lithology correction factor and the joint and fissure correction factor in the embodiment of the present invention are obtained by independently analyzing the geological characteristics of the target area, and the influence of the rock and soil mass on the warning release time is quantified by different parameters.

[0042] The lithologic correction factor of the target area is determined based on the composition of the lithologic minerals, the pore structure of the lithologic minerals, the strength parameters of the lithologic minerals, and the permeability coefficient of the lithologic minerals in the target area.

[0043] For lithologic mineral composition, the hydrophilicity and inter-particle bonding strength of different minerals directly influence permeability. For example, mudstone, due to its fine, tightly bound particles, has low permeability and a long history of water storage, so a correction factor of 1.5 can be used. For granite, due to its high permeability due to the development of fractures, a correction factor of 0.8 can be used.

[0044] For the pore structure of lithologic minerals, pore diameter and connectivity determine drainage efficiency. For minerals with large pores and high permeability, the correction factor can be set close to 1.0; for minerals with micropores and low permeability, the correction factor can be set above 1.2.

[0045] For the strength parameters of lithologic minerals, if the mineral has high compressive strength and is intact without cracks, the correction factor may be moderate (e.g., set to 1.0); if the mineral has low strength and is easily broken, the correction factor can be set to be further increased.

[0046] For the permeability coefficient of rock minerals, it can directly quantify the drainage capacity of rock and soil. The higher the permeability coefficient, the smaller the correction factor.

[0047] The above parameters can be comprehensively determined through geological surveys, laboratory tests or historical data, and ultimately a table of lithology correction factors that match the preset ones can be determined. For example, mudstone directly corresponds to 1.5 without the need for additional calculations.

[0048] The joint and fissure correction factor for the target area is determined based on the joint and fissure density and joint connectivity of the target area, which can be obtained through field surveys or 3D laser scanning. The joint and fissure correction factor can be determined using weighted or other preset formulas.

[0049] In some embodiments, the joint and crack correction factor of the target area can be determined based on the following formula: Where, Indicates the joint and crack correction factor of the target area; Indicates the density of joints and cracks in the target area; Indicates the joint connectivity rate of the target area; and is the weight coefficient, reflecting the difference in the effects of density and connectivity on infiltration efficiency.

[0050] Optionally, =0.02, =0.01.

[0051] According to a method for canceling geological disaster early warning provided by the present invention, the method further includes: Based on the warning release time of the target area, a cloud map of the geological disaster warning release time of the target area is obtained.

[0052] Specifically, the embodiment of the present invention can visualize the geological disaster warning release time results of the target area through a geological disaster warning release time cloud map.

[0053] The warning release time determined in the previous steps can be used as the data input source, and the warning release time data of discrete monitoring points can be converted into a continuous spatial distribution map through spatial interpolation algorithms or Geographic Information System (GIS) and other technologies.

[0054] The cloud map can intuitively represent the differences in warning lifting time at different locations (or multiple target areas) within the target area through color gradients or contour lines. For example, warm colors are used to represent areas with later warning lifting time, and cold colors are used to represent areas with earlier warning lifting time.

[0055] This process should be supported by high-precision geographic coordinate data to ensure accurate matching of warning lifting time and spatial location.

[0056] This visualization mechanism converts abstract time parameters into spatially localizable decision-making basis, which can provide disaster prevention and control departments with dynamic guidance for regional risk relief.

[0057] The present invention is further described below through embodiments in specific application scenarios.

[0058] This embodiment relates to a dynamic calculation method for geological disaster warning release time that integrates rock and soil hydraulic parameters and structural surface characteristics, and is particularly suitable for warning release decision-making for collapse and landslide disasters.

[0059] First, connect the collapse and landslide risk points to the nearest rain gauge and soil moisture monitoring equipment, analyze the coupling relationship between rainfall and moisture content, and mark the disaster site's occurrence time on a coupling diagram. The decay pattern of moisture content after rain is analyzed, and statistical analysis is performed to determine the lag between the disaster and the end of rainfall, providing a preliminary approximate range for the warning release time. Next, analyze the correlation between the lithology and the degree of joint and fissure development at the hazard site and the warning release time. A universal formula for the warning release time based on the lithology and joint and fissure development is developed. A cloud map of the geological disaster warning release time is then drawn based on the distribution of warning release times in each lithology area, providing guidance for local areas to lift warnings in a timely manner.

[0060] Based on the above ideas, the method for determining the geological disaster warning cancellation time of this embodiment includes the following steps: (1) Real-time collection of water content data, lithologic parameters, and joint and fissure development characteristics; (2) Construct a post-rain moisture content attenuation model; (3) Calculation of benchmark release time based on the moisture content attenuation model ; (4) Application of lithologic correction factors and joint crack correction factor Perform dynamic coupling correction; (5) Output warning release time : ; (6) Draw a cloud map of the time when geological disaster warnings are lifted.

[0061] Among them, the benchmark release time ( ) is calculated by the following steps: 1. Constructing a moisture content attenuation model Based on the moisture content monitoring equipment near the disaster site, the coupling relationship between rainfall and moisture content is analyzed, and the time of occurrence of the disaster site is marked on the coupling diagram. Figure 2 is a schematic diagram of the coupling diagram between rainfall and moisture content provided by the present invention, such as Figure 2 As shown, the attenuation law of the moisture content after the maximum value can be analyzed based on the coupling diagram, and the moisture content attenuation function can be constructed in hours.

[0062] in, : Initial moisture content (%), : attenuation coefficient (1 / h), related to rock and soil permeability; : time (h).

[0063] according to Figure 2 The data in and the moisture content attenuation function can be obtained: 2. Benchmark release time in, : Critical moisture content (%), analyze the moisture content values when historical disaster samples occurred, and take the lowest moisture content as the critical moisture content.

[0064] Lithology correction factor ( ) is determined by: Different rock types have different rainfall infiltration coefficients, influenced by their internal pore structure. The larger the pore diameter and the better the connectivity, the higher the permeability coefficient. For example, loose rock masses such as gravel and coarse sand have large pores and good connectivity, while clay and shale, with their predominant micropores and poor connectivity, have low permeability coefficients. Based on the mineral composition, pore structure, strength parameters, and permeability coefficient of various lithologies, lithology correction factors are proposed, as shown in Table 1.

[0065] Table 1 Lithology correction factor table

[0066] Joint and crack correction factor ( ) is determined by: The density and connectivity of joints and fissures significantly influence rainfall infiltration. Greater joint and fissure density and greater connectivity increase the number of rainfall infiltration channels, accelerating the migration of rainwater into the deep rock mass and significantly improving infiltration efficiency. (Joint and fissure density and connectivity are obtained through geological surveys combined with 3D laser scanning.) A joint and fissure correction factor, based on the degree of joint and fissure development as the primary evaluation indicator, is proposed, as shown in Table 2. The calculation formula for the joint and fissure correction factor is as follows: Where, : Joint density (joints / m³), : Joint connectivity rate (%), 、 : Weight coefficient ( =0.02, =0.01).

[0067] Table 2 Joint and fissure correction factors

[0068] The implementation process of this method is as follows: 1. Data Collection Real-time moisture content (TDR / FDR sensor); Lithology classification and identification (geological survey and exploration data); Joint and fissure parameters (field survey or 3D laser scanning or borehole data).

[0069] 2. Model calculation Construct a moisture content attenuation model, determine the critical moisture content, and calculate the benchmark release time ; Dynamic coupling correction is performed using lithology and joint and fissure correction factors.

[0070] 3. Warning lifted Warning cancellation time Calculate, when When the warning is lifted.

[0071] 4. Draw a regional warning lifting time map Based on the above calculation results, a warning contact time cloud map of the geological disaster warning area is drawn to guide each area to lift the warning.

[0072] The following is an example calculation: Input parameters: Initial moisture content =40%; Critical moisture content =20%; Attenuation coefficient =0.1 h -1 ; Lithology: mudstone ( =1.5); Joint density =8 / m³, connectivity rate =50%; Calculation steps: Benchmark release time: = = ≈6.93h; Lithology correction factor: Mudstone ( =1.5); Joint and crack correction factor =1+0.02×8+0.01×50=1.16+0.5=1.66; Calculate the final release time: =6.93×1.5×1.66≈17.2h.

[0073] This embodiment provides an intelligent method for determining the release time of geological hazard warnings. By establishing a three-dimensional coupled model of lithologic parameters, fracture development, and water content decay, it addresses the crudeness of fixed threshold methods, compensates for the flaw of pure water content models that ignore geological structure, quantifies joint and fracture parameters as correction factors for the first time, and achieves spatial visualization of the release time through cloud maps. This method addresses the problem of misjudgment of warning release timing caused by traditional methods that fail to consider differences in geological structure. It can significantly improve the accuracy of warning release times and is suitable for geological hazard risk management under complex geological conditions.

[0074] The geological disaster early warning release device provided by the present invention is described below. The geological disaster early warning release device described below and the geological disaster early warning release method described above can be referenced to each other.

[0075] Figure 3 This is a schematic diagram of the structure of the geological disaster early warning release device provided by the present invention. Figure 3 As shown, the device includes the following modules: Acquisition module 300, for acquiring water content data, lithologic parameters, and joint and fissure development characteristics of the target area; Determination module 310 is used to determine the benchmark release time of the target area based on the water content data; and determine the lithology correction factor and joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; The correction module 320 is used to correct the benchmark release time based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; the warning release time is used to release the geological disaster warning in the target area.

[0076] According to the present invention, a geological disaster early warning release device is provided, which determines a benchmark release time of a target area based on moisture content data, including: Based on the time series of moisture content data, a moisture content attenuation model for the target area is constructed; Determine the benchmark release time of the target area based on the moisture content attenuation model and the critical moisture content value of the target area; Among them, the critical moisture content value is the lowest moisture content value at the time when the historical geological disaster samples in the target area occurred.

[0077] According to a geological disaster early warning release device provided by the present invention, the moisture content attenuation model is expressed by the following formula: Where, Indicates that the rain has stopped The moisture content value of the target area after a certain period of time; Indicates the initial moisture content value of the target area when the rain stops; is a natural constant; represents the attenuation coefficient of moisture content; The baseline release time for the target area is determined based on the following formula: Where, Indicates the benchmark release time of the target area; Indicates the critical moisture content value of the target area.

[0078] According to a geological disaster early warning release device provided by the present invention, based on lithologic parameters and joint and fissure development characteristics, the lithologic correction factor and joint and fissure correction factor of the target area are determined respectively, including: Determining a lithologic correction factor for the target area based on the composition of the lithologic minerals, the pore structure of the lithologic minerals, the strength parameters of the lithologic minerals, and the permeability coefficient of the lithologic minerals in the target area; and, Based on the joint and fissure density and joint connectivity of the target area, the joint and fissure correction factor of the target area is determined.

[0079] According to a geological disaster early warning release device provided by the present invention, the joint and fissure correction factor of the target area is determined based on the following formula: Where, Indicates the joint and crack correction factor of the target area; Indicates the density of joints and cracks in the target area; Indicates the joint connectivity rate of the target area; and is the weight coefficient.

[0080] According to a geological disaster early warning cancellation device provided by the present invention, the device also includes: The drawing module is used to obtain a geological disaster warning release time cloud map of the geological disaster warning in the target area based on the warning release time of the target area.

[0081] Figure 4 Schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 4 As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communications interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the geological disaster warning cancellation method, which includes: Obtain water content data, lithologic parameters, and joint and fissure development characteristics of the target area; Determine the benchmark release time of the target area based on the water content data; and determine the lithology correction factor and joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; The benchmark release time is corrected based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; the warning release time is used to release the geological disaster warning in the target area.

[0082] Furthermore, the logic instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0083] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the geological disaster warning cancellation method provided by the above methods, which includes: Obtain water content data, lithologic parameters, and joint and fissure development characteristics of the target area; Determine the benchmark release time of the target area based on the water content data; and determine the lithology correction factor and joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; The benchmark release time is corrected based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; the warning release time is used to release the geological disaster warning in the target area.

[0084] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the geological disaster early warning cancellation method provided by the above methods, the method comprising: Obtain water content data, lithologic parameters, and joint and fissure development characteristics of the target area; Determine the benchmark release time of the target area based on the water content data; and determine the lithology correction factor and joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; The benchmark release time is corrected based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; the warning release time is used to release the geological disaster warning in the target area.

[0085] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0086] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for releasing geological disaster warning, characterized in that: include: Obtain water content data, lithologic parameters, and joint and fissure development characteristics of the target area; determining a baseline release time for the target area based on the moisture content data; and, based on the lithologic parameters and the joint and fissure development characteristics, respectively determining a lithologic correction factor and a joint and fissure correction factor of the target area; Correcting the benchmark release time based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; The warning cancellation time is used to cancel the geological disaster warning in the target area.

2. The geological disaster early warning cancellation method according to claim 1, characterized in that: Determining a benchmark release time for the target area based on the moisture content data includes: constructing a moisture content attenuation model for the target area based on the time series of the moisture content data; Determining a reference release time for the target area based on the moisture content attenuation model and a critical moisture content value of the target area; The critical moisture content value is the lowest moisture content value at the time when the historical geological disaster samples of the target area occurred.

3. The geological disaster early warning cancellation method according to claim 2, characterized in that: The moisture content attenuation model is expressed by the following formula: Where, Indicates that the rain has stopped The moisture content value of the target area after a certain period of time; Indicates the initial moisture content value of the target area when the rain stops; is a natural constant; represents the attenuation coefficient of moisture content; The reference release time of the target area is determined based on the following formula: Where, Indicates the benchmark release time of the target area; Indicates the critical moisture content value of the target area.

4. The geological disaster early warning cancellation method according to claim 1, characterized in that: Based on the lithologic parameters and the joint and fissure development characteristics, respectively determining the lithologic correction factor and the joint and fissure correction factor of the target area, including: Determining a lithologic correction factor for the target area based on the composition of the lithologic minerals, the pore structure of the lithologic minerals, the strength parameters of the lithologic minerals, and the permeability coefficient of the lithologic minerals in the target area; and Based on the joint and fissure density and the joint connectivity rate of the target area, a joint and fissure correction factor of the target area is determined.

5. The geological disaster early warning cancellation method according to claim 1, characterized in that: The joint and fissure correction factor of the target area is determined based on the following formula: Where, Indicates the joint and crack correction factor of the target area; Indicates the density of joints and cracks in the target area; Indicates the joint connectivity rate of the target area; and is the weight coefficient.

6. The method for canceling geological disaster early warning according to any one of claims 1 to 5, characterized in that: The method further comprises: Based on the warning release time of the target area, a geological disaster warning release time cloud map of the target area is obtained.

7. A geological disaster early warning release device, characterized in that: include: Acquisition module, used to obtain water content data, lithology parameters and joint and fissure development characteristics of the target area; a determination module, configured to determine a reference release time of the target area based on the moisture content data; and determining a lithology correction factor and a joint and fissure correction factor of the target area based on the lithology parameters and the joint and fissure development characteristics; a correction module, configured to correct the reference release time based on the lithology correction factor and the joint and fissure correction factor to obtain the warning release time of the target area; The warning cancellation time is used to cancel the geological disaster warning in the target area.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the method for canceling geological disaster warning as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for canceling geological disaster warning as described in any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for canceling geological disaster warning as described in any one of claims 1 to 6 is implemented.

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