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

Abstract

The invention relates to the technical field of geological disaster early warning, in particular to a temperature change-based ground disaster early warning method, a readable storage medium and equipment. The invention discloses a ground disaster early warning method based on temperature change. The ground disaster early warning method comprises the following steps: acquiring 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 judging whether the soil body is deformed or not based on the obtained temperature change rate. According to the ground disaster early warning method, the non-contact nondestructive technology is adopted for detection, whether the soil body deforms or not is directly judged by obtaining the temperature change of the monitoring area, use is convenient, and ground disaster early warning can be rapidly and accurately achieved.

Description

Technical Field

[0001] The present invention 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 a device. Background Art

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

[0003] 1. Landslide is the phenomenon and process of the rock or soil on the slope sliding along one (or more) weak surfaces or weak zones under the action of gravity. Landslide is commonly known as "mountain sliding", "mountain collapse", "ground slide", "soil slide", etc.

[0004] 2. Collapse refers to the geological phenomenon that the rock or soil on the steep slope suddenly breaks away from the mountain under the action of gravity, falls and rolls, and accumulates at the foot of the slope or in the valley. Collapse is also called 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 method of surveying and mapping to obtain the deformation of geological disaster bodies, and then to reflect the risk status of geological disasters. The disaster-causing factors of geological disaster bodies are mainly inside, not on the surface. Therefore, traditional methods have 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 purpose of the present invention is to provide a method for realizing geological disaster early warning which is easy to use and can be fast and accurate. The specific technical scheme 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 calculates 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 it 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 one specifically includes: selecting a monitoring area; periodically measuring a temperature data set of the monitoring area; obtaining multiple groups of temperature change rates based on the temperature data set; and taking 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 water 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, 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 diffusion coefficient of dry soil, k θ is the coefficient that represents the effect of moisture content on thermal diffusion coefficient;

[0028] The direct relationship between the temperature change rate of the soil and the thermal diffusion coefficient 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 thermal conductivity of the soil changes, the porosity and moisture content of the soil must 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 is as follows: the steps of the geological disaster early warning method based on temperature change of the present invention are as follows: obtaining the initial temperature change rate of the monitoring area; continuously monitoring the monitoring area through the temperature sensor to obtain the real-time temperature change rate; calculating the temperature change rate according to the obtained real-time temperature change rate and the obtained initial temperature change rate; judging whether the soil body is deformed based on the obtained temperature change rate. The non-contact non-destructive technology is used to directly judge whether the soil body is deformed by obtaining the temperature change of the monitoring area, which is easy to use and can quickly and accurately realize geological disaster early warning.

[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 embodiments below. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are described in detail below in conjunction with 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 change, the specific principle is as follows:

[0041] The structural changes of soil (such as changes in porosity, density and water content) will affect its thermal physical parameters such as thermal conductivity, specific heat capacity, density, etc. These parameters jointly determine the temperature change rate of the soil in the heat conduction equation.

[0042] The temperature change rate of the soil It is directly related to the thermal diffusion coefficient and can be written 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, ρ is the density, and T is the temperature of the soil.

[0045] According to the effect of structural changes on thermal diffusion coefficient, we can further analyze the change of soil temperature change rate, mainly focusing on porosity and water content, as follows:

[0046] Assuming that the porosity is n and changes, the thermal conductivity and density will change with the porosity, that is, the thermal conductivity k(n) that changes with the porosity n and the density ρ(n) that changes with the porosity n are obtained. The thermal diffusion coefficient α(n) (i.e. the new thermal diffusion coefficient) that changes with the porosity n is expressed by the following formula:

[0047]

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

[0049] In addition, the change of 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 thermal diffusion coefficient is as follows:

[0050] a(θ)=α0+k θ θ;

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

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

[0053]

[0054] As the porosity increases (especially with increasing air content), the thermal diffusion coefficient α decreases and the rate of temperature change 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 associated parameters are mainly the porosity and water content of the soil. The correlation between the thermal diffusion coefficient and the porosity and water 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 formula, the relationship between thermal conductivity, water content and temperature change rate that needs to be derived in the end. As mentioned above, its thermal conductivity coefficient is closely related to the porosity and water content of the soil, and the disaster-causing factors of the soil are also proportional to the looseness of the soil (i.e. the porosity of the soil) and the water content of the soil. That is, when the thermal conductivity coefficient of the soil changes, there must be changes in the porosity and water content of the soil, and the change of the soil, that is, the change of the condition of the soil, greatly increases the possibility of disasters, that is, the risk level increases.

[0060] The method for early warning of geological disasters based on temperature changes 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: select the monitoring area, judge the current state of the monitoring area, which should generally be a stable state. When it is in a dangerous state of instability, uncertainty is increased. Through periodic measurement (one day as a cycle, continuous measurement for one week), 7 groups of temperature change rates, i.e. thermal diffusion coefficients, are obtained, and measured data or distorted data under abnormal conditions (rain and snow) are proposed. The final data must not be less than 5 groups, and additional measurements should be made if it is insufficient. The average of each group of data is taken as the original temperature change rate V0 of 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, and 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 calculates 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 it 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 the benchmark, obtain the thermal diffusion coefficient a, where:

[0069] It is known through empirical methods that the long-term temperature gradient caused by large temperature differences between day and night or seasonal temperature changes. In the short term, a slight change in the thermal diffusion coefficient (such as a change of 10%-20%) usually does not lead to obvious deformation. When the thermal diffusion coefficient a>0.2, as the soil porosity and moisture content increase, the soil thermal diffusion coefficient 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. When there is no hidden danger risk, the original temperature change rate V0 is the current temperature change rate v i , that is, V0 = v i .

[0070] The method for early warning of geological disasters based on temperature changes of the present invention includes the following steps: obtaining the initial temperature change rate of the monitoring area; continuously monitoring the monitoring area through a temperature sensor to obtain the real-time temperature change rate; calculating the temperature change rate based on the obtained real-time temperature change rate and the obtained initial temperature change rate; and determining whether the soil body has deformed based on the obtained temperature change rate. The non-contact, non-destructive technology is used to directly determine whether the soil body has deformed by obtaining the temperature change in the monitoring area. It is easy to use and can quickly and accurately realize early warning of geological disasters. That is, by monitoring the temperature change rate and temperature change amount of the soil body, the structural change trend of the soil body is evaluated and its current state is determined, so as to be applied to engineering fields such as landslide early warning.

[0071] This embodiment 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.

[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 above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for early warning of geological disasters based on temperature changes, characterized in that: The following steps are involved: Step 1: Obtain the initial temperature change rate V0 of the monitoring area; Step 2: Continuously monitor the monitoring area to obtain the real-time temperature change rate v i , where i is the timestamp; Step 3: Based on the real-time temperature change rate v obtained in step 2 i And the initial temperature change rate V0 obtained in step 1 calculates the temperature change rate Δv i ,as follows: Δv i =|v i -V0|; Step 4: Based on the temperature change rate Δv obtained in step 3 i Determine whether the soil has deformed. If Δv i If it 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.

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 a monitoring area; periodically measuring a temperature data set of the monitoring area; obtaining multiple groups of temperature change rates based on the temperature data set; and obtaining an average of each group of temperature change rates as the original temperature change rate V0 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. The method for early warning of geological disasters based on temperature changes according to any one of claims 1 to 3, characterized in that: The deformation of the soil in step 4 is related to the porosity and water content of the soil.

5. The method for early warning of geological disasters based on temperature changes according to claim 4, characterized in that: The temperature change rate of the soil It has a direct relationship with the thermal diffusion coefficient as follows: in: is the thermal diffusivity, is the Laplace operator, k is the thermal conductivity, c is the specific heat, ρ is the density, and T is the temperature of the soil; Assuming the porosity is n, the thermal diffusion coefficient α(n) that changes with the porosity n is expressed by the following formula: 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; 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: α(θ)=α0+k θ I; Where: α0 is the thermal diffusion coefficient of dry soil, k θ is the coefficient that represents the effect of moisture content on thermal diffusion coefficient; The temperature change rate of the soil is directly related to the thermal diffusion coefficient as follows: 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: α≈An+Bθ; Among them: A is the porosity influencing factor, B is the water content influencing factor; When the thermal conductivity of the soil changes, the porosity and moisture content of the soil must change. Therefore, the temperature change rate Δv obtained in step 3 is used. i Used to determine whether soil deformation occurs.

6. 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 5 is implemented.

7. 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 as described in any one of claims 1 to 5 by executing the executable instructions.

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