Geohazard early warning method based on temperature change, readable storage medium and equipment

Abstract

The present application relates to the technical field of geological disaster early warning, and in particular to a geological disaster early warning method based on temperature change, a readable storage medium and equipment. The geological disaster early warning method based on temperature change comprises the following steps: obtaining an initial temperature change rate of a monitoring area; continuously monitoring the monitoring area to obtain a real-time temperature change rate; calculating a temperature change rate according to the obtained real-time temperature change rate and the obtained initial temperature change rate; and determining whether the soil body deforms based on the obtained temperature change rate. The geological disaster early warning method adopts a non-contact non-destructive testing technology to detect whether the soil body deforms by obtaining the temperature change of the monitoring area, which is convenient to use and can quickly and accurately realize geological disaster early warning.

Description

Technical Field

[0001] The present invention relates to the technical field of geological disaster early warning technology, and in particular to a geological disaster early warning method based on temperature change, a readable storage medium and a device. Background Art

[0002] Geological disasters refer to geological actions or phenomena caused by natural or human factors that cause loss of life and property and damage to the environment. Existing geological disasters mainly include:

[0003] 1. A landslide is a phenomenon or process in which rock or soil on a slope slides along one or more weak surfaces or zones under the influence of gravity. Landslides are commonly known as "mountain collapse," "ground slide," or "earth slide."

[0004] 2. Collapse refers to a geological phenomenon in which rock or soil on a steep slope suddenly breaks away from the mountain under the action of gravity, rolling and accumulating at the foot of the slope or in the valley. Collapse is also known as collapse, collapse or landslide.

[0005] 3. Debris flow, also known as mountain torrent mud flow, is a temporary fluid that occurs in mountainous areas and contains a large amount of mud, sand and stones, which is between floods and landslides.

[0006] 4. Ground collapse refers to the phenomenon and process in which the overlying rock and soil of natural caves, artificial caverns, and tunnels lose stability and suddenly collapse, causing the ground to sink and crack rapidly.

[0007] At present, the monitoring of geological disaster bodies basically adopts the surveying and mapping method to obtain the deformation of the geological disaster body, and then reflect the risk status of the geological disaster. The disaster-causing factors of the geological disaster body are mainly inside, not on the surface. Therefore, the traditional method has certain limitations.

[0008] In summary, there is an urgent need for a method that is easy to use and can quickly and accurately implement geological disaster early warning to solve the problems existing in the existing technology. Summary of the Invention

[0009] The present invention aims to provide a method for quickly and accurately realizing geological disaster early warning, which is convenient to use. The specific technical solution is as follows:

[0010] A method for early warning of geological disasters based on temperature changes comprises the following steps:

[0011] Step 1: Obtain the initial temperature change rate V0 of the monitoring area;

[0012] Step 2: Continuously monitor the monitoring area through the temperature sensor to obtain the real-time temperature change rate v i , where i is the timestamp;

[0013] Step 3: According to the real-time temperature change rate v obtained in step 2 i And the initial temperature change rate V0 obtained in step 1 is used to calculate the temperature change rate Δv i ,as follows:

[0014] Δv i =|v i -V0|;

[0015] Step 4: Based on the temperature change rate Δv obtained in step 3 i Determine whether the soil has deformed. If Δv i If the value is greater than or equal to 20%, it is determined that the soil has been deformed; otherwise, it is determined that the soil has not been deformed.

[0016] Preferably, obtaining the initial temperature change rate of the monitoring area in step 1 specifically includes: selecting a monitoring area; periodically measuring the temperature data set of the monitoring area; obtaining multiple groups of temperature change rates based on the temperature data set; and calculating the average of each group of temperature change rates as the original temperature change rate V0 of the monitoring area.

[0017] Preferably, in step 2, an infrared thermal imager is used to continuously monitor the monitoring area.

[0018] Preferably, the deformation of the soil in step 4 is related to the porosity and moisture content of the soil.

[0019] Preferably, the temperature change rate of the soil is directly related to the thermal diffusion coefficient, as shown in the following formula:

[0020]

[0021] in: is the thermal diffusivity, is the Laplace operator, k is the thermal conductivity, c is the specific heat capacity, ρ is the density, and T is the temperature of the soil;

[0022] Assuming the porosity is n, the thermal diffusion coefficient α(n) that changes with the porosity n is expressed by the following formula:

[0023]

[0024] Where: k(n) is the thermal conductivity that changes with the porosity n, ρ(n) is the density that changes with the porosity n, and c(n) is the specific heat capacity that changes with the porosity n;

[0025] The change of moisture content θ directly affects the value of thermal conductivity k(θ), and the change relationship of thermal diffusion coefficient α(θ) is as follows:

[0026] a(θ)=α0+k θ θ;

[0027] Where: α0 is the thermal diffusivity of dry soil, k θ is the coefficient that represents the effect of moisture content on thermal diffusivity;

[0028] The direct relationship between the temperature change rate of the soil and the thermal diffusivity is as follows:

[0029]

[0030] When the porosity increases, the thermal diffusion coefficient α decreases and the temperature change rate decreases; when the water content increases, the thermal diffusion coefficient α increases and the temperature change rate accelerates. Therefore, the correlation between the thermal diffusion coefficient and the porosity and water content is expressed as:

[0031] α≈An+Bθ;

[0032] Among them: A is the porosity influencing factor, B is the water content influencing factor;

[0033] When the soil thermal conductivity changes, the soil porosity and moisture content must also change. Therefore, the temperature change rate Δv obtained in step 3 is used. i Used to determine whether soil deformation occurs.

[0034] The technical solution of the present invention comprises the following steps: obtaining an initial temperature change rate of a monitored area; continuously monitoring the monitored area using a temperature sensor to obtain a real-time temperature change rate; calculating a temperature change rate based on the obtained real-time temperature change rate and the obtained initial temperature change rate; and determining whether soil deformation has occurred based on the obtained temperature change rate. This method utilizes a non-contact, non-destructive technique to directly determine soil deformation by obtaining temperature changes in the monitored area. This method is convenient to use and can quickly and accurately provide geological disaster warnings.

[0035] The present invention also discloses a readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned geological disaster early warning method based on temperature change is implemented.

[0036] The present invention also discloses a device, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the above-mentioned geological disaster warning method based on temperature changes by executing the executable instructions.

[0037] In addition to the above-described objects, features and advantages, the present invention has other objects, features and advantages. The present invention will be further described in detail with reference to the following embodiments. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are described in detail below with reference to the embodiments, but the present invention can be implemented in many different ways as defined and covered by the claims.

[0039] Example:

[0040] A geological disaster early warning method based on temperature changes, the specific principles are as follows:

[0041] Structural changes in soil (such as changes in porosity, density, and moisture content) affect its thermal physical parameters such as thermal conductivity, specific heat capacity, and density. These parameters together determine the rate of temperature change in the soil in the heat conduction equation.

[0042] Soil temperature change rate It is directly related to the thermal diffusivity and can be expressed as follows for three-dimensional space:

[0043]

[0044] in: is the thermal diffusivity, is the Laplace operator, k is the thermal conductivity, c is the specific heat capacity, ρ is the density, and T is the temperature of the soil.

[0045] Based on the effect of structural changes on thermal diffusivity, we can further analyze the change in soil temperature change rate, focusing on porosity and moisture content, as follows:

[0046] Assuming the porosity is n and changes, the thermal conductivity and density will change with the porosity, that is, the thermal conductivity k(n) and density ρ(n) will change with the porosity n. The thermal diffusivity α(n) (i.e., the new thermal diffusivity) that changes with the porosity n is expressed as follows:

[0047]

[0048] As the porosity n increases, the air content in the soil increases, which leads to a decrease in k(n), and then a decrease in α(n). As a result, the temperature change rate decreases, that is, the temperature of the soil slows down accordingly.

[0049] In addition, the change in moisture content θ directly affects the value of thermal conductivity k(θ). As the moisture content increases, the thermal conductivity increases, which increases the thermal diffusion coefficient α(θ), thereby increasing the temperature change rate. The relationship between the change in thermal diffusion coefficient is as follows:

[0050] a(θ)=α0+k θ θ;

[0051] Where: α0 is the thermal diffusivity of dry soil, k θ It is a coefficient that represents the effect of moisture content on thermal diffusivity.

[0052] Based on the above, we can know that:

[0053]

[0054] When the porosity increases (especially the air content), the thermal diffusion coefficient α decreases and the temperature change rate decreases.

[0055] When the moisture content increases, the thermal diffusion coefficient α increases and the temperature change rate accelerates.

[0056] From the above, we can see that the temperature change rate is mainly determined by the thermal diffusion coefficient, and its related parameters are mainly the porosity and moisture content of the soil. The correlation between the thermal diffusion coefficient and the porosity and moisture content can be expressed as:

[0057] α≈An+Bθ;

[0058] Among them: A is the porosity influencing factor, and B is the water content influencing factor.

[0059] As shown in the above equation, the relationship between thermal conductivity, moisture content, and the rate of temperature change ultimately needs to be derived. As mentioned above, the thermal conductivity coefficient is closely related to the soil's porosity and moisture content, and soil disaster risk factors are directly proportional to the soil's looseness (i.e., porosity) and moisture content. Therefore, changes in the soil's thermal conductivity inevitably involve changes in its porosity and moisture content. Changes in the soil, i.e., changes in its condition, significantly increase the likelihood of disasters, and therefore the risk level.

[0060] The temperature change-based geological disaster early warning method disclosed in this embodiment specifically includes the following steps:

[0061] Step 1: Obtain the initial temperature change rate V0 of the monitoring area.

[0062] In this embodiment, a monitoring area is selected and its current state is determined. Generally, it should be stable. If it is in a dangerously unstable state, uncertainty increases. Periodic measurements (one day per cycle, continuous measurement for one week) are performed to obtain seven sets of temperature change rates, i.e., thermal diffusion coefficients. Data obtained under abnormal conditions (rain or snow) or distorted data are analyzed. The final data set must not be less than five sets; if insufficient, additional measurements should be made. The average of each set of data is calculated as the original temperature change rate V0 for the monitoring area.

[0063] Step 2: Continuously monitor the monitoring area through the temperature sensor to obtain the real-time temperature change rate v i , where i is the timestamp.

[0064] In this embodiment, an infrared thermal imager is used to continuously monitor the monitoring area. A high-precision infrared thermal imager is preferred. The specific accuracy can be selected according to the application scenario.

[0065] Step 3: According to the real-time temperature change rate v obtained in step 2 i And the initial temperature change rate V0 obtained in step 1 is used to calculate the temperature change rate Δv i ,as follows:

[0066] Δv i =|v i -V0|;

[0067] Step 4: Based on the temperature change rate Δv obtained in step 3 i Determine whether the soil has deformed. If Δv i If the value is greater than or equal to 20%, it is determined that the soil has been deformed; otherwise, it is determined that the soil has not been deformed.

[0068] In this embodiment, based on the temperature change rate Δv obtained in step 3 i , combined with the initial temperature change rate V0 as a benchmark, obtain the thermal diffusion coefficient a, where:

[0069] Through empirical methods, we know that the soil is affected by long-term temperature gradients caused by large temperature differences between day and night or seasonal temperature changes. In the short term, slight changes in the thermal diffusion coefficient (such as changes of 10%-20%) usually do not lead to obvious deformation. When the thermal diffusion coefficient a>0.2, as the porosity and moisture content of the soil increase, the thermal diffusion coefficient of the soil also decreases or increases accordingly, and its temperature change rate will also increase significantly, which means that the soil has been deformed and has become a hidden danger area, and it is necessary to investigate and confirm the risk. After eliminating the risk of hidden dangers, the current temperature change rate v is the same as the original temperature change rate V0. i , that is, V0 = v i .

[0070] The temperature-change-based geological disaster early warning method of the present invention includes the following steps: obtaining an initial temperature change rate of a monitored area; continuously monitoring the monitored area using a temperature sensor to obtain a real-time temperature change rate; calculating a temperature change rate based on the obtained real-time temperature change rate and the obtained initial temperature change rate; and determining whether soil deformation has occurred based on the determined temperature change rate. This method utilizes a non-contact, non-destructive technique to directly determine soil deformation by obtaining temperature changes in the monitored area. This method is convenient to use and enables rapid and accurate geological disaster early warning. Specifically, by monitoring the soil temperature change rate and amount, the structural change trend of the soil can be assessed and its current state determined, enabling applications in engineering fields such as landslide early warning.

[0071] This embodiment further discloses a readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the above-mentioned geological disaster early warning method based on temperature change is implemented.

[0072] This embodiment also discloses a device, including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the above-mentioned geological disaster warning method based on temperature change by executing the executable instructions.

[0073] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A geological disaster early warning method based on temperature change, characterized in that: The following steps are involved: Step 1: Obtain the initial temperature change rate of the monitoring area ; Step 2: Continuously monitor the monitoring area to obtain real-time temperature change rate ,in is the timestamp; Step 3: Real-time temperature change rate obtained in step 2 And the initial temperature change rate obtained in step 1 Calculating the rate of temperature change ,as follows: ； Step 4: Temperature change rate based on step 3 Determine whether the soil has deformed. If it is greater than or equal to 20%, it is determined that the soil has deformed; otherwise, it is determined that the soil has not deformed; The deformation of the soil in step 4 is related to the porosity and moisture content of the soil; The temperature change rate of the soil It is directly related to the thermal diffusivity as follows: ； in: is the thermal diffusivity, is the Laplace operator, is the thermal conductivity, is the specific heat capacity, is the density, is the temperature of the soil; Assume the porosity is , following the porosity Varying thermal diffusivity It is expressed in the following formula: ； in: To follow the porosity Varying thermal conductivity, To follow the porosity Varying density, To follow the porosity Varying specific heat capacity; Moisture content The change of thermal conductivity directly affects The value of thermal diffusivity The changing relationship is as follows: ； in: is the thermal diffusivity of dry soil, is the coefficient that represents the effect of moisture content on thermal diffusivity; The temperature change rate of the soil is directly related to the thermal diffusivity as follows: ； As the porosity increases, the thermal diffusivity When the moisture content increases, the thermal diffusion coefficient As the temperature increases, the rate of temperature change accelerates. Therefore, the correlation between the thermal diffusivity and the porosity and moisture content is expressed as follows: ； in: is the porosity influencing factor, is the moisture content influencing factor; When the soil thermal conductivity changes, the soil porosity and moisture content must also change. Therefore, the temperature change rate obtained in step 3 is used. Used to determine whether soil deformation occurs.

2. The method for early warning of geological disasters based on temperature changes according to claim 1, characterized in that: The step 1 of obtaining the initial temperature change rate of the monitoring area specifically includes: selecting the monitoring area; periodically measuring the temperature data set of the monitoring area; obtaining multiple sets of temperature change rates based on the temperature data set; and obtaining the average of the temperature change rates of each set as the original temperature change rate of the monitoring area. .

3. The method for early warning of geological disasters based on temperature changes according to claim 1, characterized in that: In the step 2, an infrared thermal imager is used to continuously monitor the monitoring area.

4. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the temperature change-based geological disaster warning method according to any one of claims 1 to 3 is implemented.

5. A device, characterized in that include: processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the temperature change-based geological disaster warning method according to any one of claims 1 to 3 by executing the executable instructions.

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