A soil erosion monitoring system for wind and water combined erosion areas

Abstract

The invention relates to the technical field of environmental monitoring, and discloses a soil erosion monitoring system for a wind-water composite erosion area, comprising: an erosion area data acquisition module, used for collecting soil temperature, soil moisture, rainfall information and wind speed information in a study area; an erosion area data analysis module, used for taking the collected soil temperature, soil moisture, rainfall information and wind speed information in the study area as soil erosion influencing factors, using the soil erosion influencing factors to analyze the soil erosion state of the study area, constructing a soil erosion monitoring model based on the soil erosion influencing factors, and predicting the soil erosion rate in the study area; a soil erosion remediation module, used for receiving the soil erosion rate transmitted by the erosion area data analysis module, judging whether the soil is in an erosion state, and if so, triggering remediation equipment to perform a remediation operation on the soil; the invention improves the efficiency and accuracy of soil erosion monitoring, and can select plants for soil erosion protection according to soil types.

Description

Technical Field

[0001] The invention relates to the technical field of environmental monitoring, and in particular to a soil erosion monitoring system in a wind-water composite erosion area. Background Art

[0002] The Fengshui compound erosion area of ​​the Loess Plateau is located in the northern part of the ecological barrier of the Loess Plateau and the southern edge of the northern sand control belt in my country's "two screens and three belts" ecological security strategy. It has harsh natural conditions, fragile ecological environment, serious soil erosion, and difficult vegetation construction. In view of the serious Fengshui compound soil erosion, small and uneven water resources, low ecosystem service function, and difficulty in vegetation restoration and maintenance, traditional soil erosion monitoring methods such as manual measurement and fixed-point observation are time-consuming, labor-intensive, and inefficient. It is difficult to meet the needs of large-scale, real-time monitoring. At the same time, most of them use a single influencing indicator to analyze the soil erosion status of the Fengshui compound erosion area, lack of comprehensive judgment on soil erosion factors, resulting in low monitoring accuracy. Summary of the invention

[0003] In view of the above-mentioned deficiencies in the prior art, the present invention provides a soil erosion monitoring system for wind-water composite erosion areas, which collects soil erosion influencing factors from multiple scales to analyze the soil erosion status, and establishes a soil erosion monitoring model based on soil erosion influencing factors by analyzing the influence relationship between the multi-scale soil erosion influencing factors and the measured soil erosion rate. The model is used to predict the soil erosion rate in the study area, thereby solving the problems of single indicators and low monitoring efficiency in the prior art.

[0004] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is:

[0005] A soil erosion monitoring system for wind and water combined erosion areas, comprising:

[0006] The erosion area data collection module is used to collect soil temperature, soil moisture, rainfall information and wind speed information in the study area;

[0007] The erosion area data analysis module is used to use the collected soil temperature, soil moisture, rainfall information and wind speed information of the study area as soil erosion influencing factors, conduct correlation analysis on the soil erosion status of the study area using the soil erosion influencing factors, and construct a soil erosion monitoring model based on soil erosion influencing factors to predict the soil erosion rate in the study area;

[0008] The soil erosion repair module is used to receive the soil erosion rate transmitted by the erosion area data analysis module, determine whether the soil is in an eroded state, and if so, trigger the repair equipment to perform repair operations on the soil.

[0009] Further, the erosion area data collection module includes a soil data collection module, a rainfall monitoring module and a wind speed information monitoring module;

[0010] The soil data acquisition module includes a soil temperature sensor and a soil moisture sensor;

[0011] Soil temperature sensor, used to collect soil temperature in real time;

[0012] Soil moisture sensor, used to collect soil moisture in real time;

[0013] Rainfall monitoring module, used to collect rainfall information in real time;

[0014] Wind speed information monitoring module is used to collect wind speed information in real time.

[0015] Further, the erosion area data analysis module includes a communication module, a data receiving module, a soil erosion monitoring module, a data transmission module and a display module;

[0016] A communication module is used for wireless communication and computer network communication with the erosion area data acquisition module, and receiving and transmitting the soil temperature, soil moisture, rainfall information and wind speed information of the study area collected by the erosion area data acquisition module;

[0017] The data receiving module is used to receive the soil temperature, soil moisture, rainfall information and wind speed information of the research area transmitted by the communication module, and perform data preprocessing and standardization on the soil temperature, soil moisture, rainfall information and wind speed information to obtain standardized soil temperature, soil moisture, rainfall information and wind speed information;

[0018] The soil erosion monitoring module is used to receive the standardized soil temperature, soil moisture, rainfall information and wind speed information transmitted by the data receiving module and use them as soil erosion influencing factors. The soil erosion influencing factors are used to conduct correlation analysis on the soil erosion status of the study area, and a soil erosion monitoring model based on the soil erosion influencing factors is constructed to predict the soil erosion rate in the study area.

[0019] A data transmission module, used for receiving the soil erosion rate transmitted by the soil erosion monitoring module;

[0020] The display module is used to receive the soil erosion rate transmitted by the data transmission module and send the soil erosion rate to the display screen for timely warning.

[0021] Furthermore, the soil temperature, soil moisture, rainfall information and wind speed information are preprocessed and standardized to obtain the standardized soil temperature, soil moisture, rainfall information and wind speed information. The specific process is as follows:

[0022] Firstly, the data of soil temperature, soil moisture, rainfall and wind speed in the study area were preprocessed respectively. The missing values ​​and outliers were interpolated and replaced by cubic spline interpolation method, and then the data were merged to obtain the measured soil temperature, soil moisture, rainfall and wind speed information.

[0023] Secondly, the measured soil temperature, measured soil moisture, measured rainfall information and measured wind speed information are standardized to obtain the standardized soil temperature, soil moisture, rainfall information and wind speed information, namely:

[0024]

[0025] Among them, T i represents the soil temperature data of the i-th group of standardized processing, t i represents the i-th group of soil temperature data collected, T min , T max Respectively represent the minimum and maximum values ​​of soil temperature data, S i represents the i-th group of standardized soil moisture data, s i represents the i-th group of soil moisture data collected, S min , S max Respectively represent the minimum and maximum values ​​of soil moisture data, P i represents the i-th group of standardized rainfall data, p i represents the i-th group of rainfall data collected, P min , P max Respectively represent the minimum and maximum values ​​of rainfall data, F i represents the i-th group of standardized wind speed data, f i represents the i-th group of wind speed data collected, F min 、F max Respectively represent the minimum and maximum values ​​of wind speed data.

[0026] Furthermore, the standardized soil temperature, soil moisture, rainfall information and wind speed information transmitted by the data receiving module are received and used as soil erosion influencing factors. The soil erosion influencing factors are used to conduct correlation analysis on the soil erosion state of the study area, and a soil erosion monitoring model based on soil erosion influencing factors is constructed. The specific process for predicting the soil erosion rate in the study area is as follows:

[0027] First, the erosion area and slope of the study area were obtained, and the measured soil erosion rate of the study area was calculated using the following formula:

[0028] V=P′×C×S

[0029] Among them, V represents the measured soil erosion rate, P′ represents the rainfall erosivity, C represents the slope, and S represents the eroded area;

[0030] Secondly, the influence coefficient of the standardized soil temperature and the measured soil erosion rate is calculated, that is:

[0031]

[0032] Among them, N represents the total number of soil temperature data collection groups, r1 represents the influence coefficient of the standardized soil temperature and the measured soil erosion rate;

[0033] Calculate the influence coefficient of the standardized soil moisture and the measured soil erosion rate, that is:

[0034]

[0035] Among them, r2 represents the influence coefficient of standardized soil moisture and measured soil erosion rate;

[0036] Calculate the influence coefficient of the standardized rainfall information and the measured soil erosion rate, that is:

[0037]

[0038] Among them, r3 represents the influence coefficient of the standardized rainfall information and the measured soil erosion rate;

[0039] Calculate the influence coefficient of the standardized wind speed information and the measured soil erosion rate, that is:

[0040]

[0041] Among them, r4 represents the influence coefficient of the standardized wind speed information and the measured soil erosion rate;

[0042] Finally, a soil erosion monitoring model based on soil erosion influencing factors was constructed to predict the soil erosion rate in the study area, namely:

[0043] V′=r1T+r2S+r3P+r4F

[0044] Among them, V′ represents the predicted soil erosion rate, T, S, P, and F represent soil temperature, soil moisture, rainfall information, and wind speed information, respectively.

[0045] Furthermore, the specific process for receiving the soil erosion rate transmitted by the erosion area data analysis module to determine whether the soil is in an erosion state, and if so, triggering the repair device to perform a repair operation on the soil is as follows:

[0046] According to the soil erosion rate transmitted by the erosion area data analysis module, it is determined whether the soil erosion rate is greater than the set threshold. If so, there is soil erosion, and the repair equipment is triggered to send repair data to obtain the soil type of the study area, and suitable plants are selected for planting according to the soil type. Otherwise, there is no soil erosion.

[0047] The present invention has the following beneficial effects:

[0048] 1. The soil erosion monitoring system for wind-water composite erosion areas proposed in the present invention uses the collected soil temperature, soil moisture, rainfall information and wind speed information as soil erosion influencing factors to conduct correlation analysis on the soil erosion state of the study area, and calculates the influence relationship between multiple soil erosion influencing factors and the measured soil erosion rate, thereby establishing a soil erosion monitoring model based on soil erosion influencing factors for predicting soil erosion rate, thereby improving prediction accuracy and efficiency;

[0049] 2. Use the soil erosion remediation module to determine whether the soil is in an eroded state. If so, trigger the remediation equipment to perform soil remediation operations and select corresponding plants according to the soil type in the study area, which can effectively reduce the degree of soil erosion in the study area and effectively prevent soil erosion. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a structural schematic diagram of a soil erosion monitoring system for a wind-water combined erosion area proposed by the present invention. DETAILED DESCRIPTION

[0051] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0052] like Figure 1 As shown, a soil erosion monitoring system for a wind-water composite erosion area comprises:

[0053] The erosion area data collection module is used to collect soil temperature, soil moisture, rainfall information and wind speed information in the study area.

[0054] The erosion area data analysis module is used to use the collected soil temperature, soil moisture, rainfall information and wind speed information of the study area as soil erosion influencing factors, use the soil erosion influencing factors to conduct correlation analysis on the soil erosion status of the study area, and build a soil erosion monitoring model based on soil erosion influencing factors to predict the soil erosion rate in the study area.

[0055] The soil erosion repair module is used to receive the soil erosion rate transmitted by the erosion area data analysis module, determine whether the soil is in an eroded state, and if so, trigger the repair equipment to perform repair operations on the soil.

[0056] In this embodiment, the study area is the Beiluo River Feng Shui complex area. Since soil temperature is an important factor affecting the soil erosion rate, the increase in temperature will lead to faster evaporation of soil moisture and lower soil moisture, thereby increasing the erodibility of the soil; in addition, high temperature may also lead to loose soil structure, further increasing the risk of soil erosion. In high temperature seasons or regions, the soil erosion rate is often higher; and soil moisture is another key factor affecting soil erosion. Too high or too low soil moisture may increase the risk of soil erosion. When the soil moisture is too high, the cohesion between soil particles is weakened, making it more susceptible to water or wind erosion. Conversely, when the soil moisture is too low, the friction between soil particles is reduced, which will also increase the erodibility of the soil; at the same time, rainfall is an important climatic factor affecting soil erosion. A large amount of rainfall can significantly increase the risk of soil erosion by enhancing the scouring and erosion of water flow. In particular, high-intensity rainfall often causes serious Soil erosion events, however, appropriate rainfall is also necessary for soil moisture retention and plant growth, too little rainfall may lead to soil drying and reduced vegetation cover, thereby increasing the risk of soil erosion; in addition, wind speed is another atmospheric factor that affects soil erosion, high wind speed can directly increase the risk of soil erosion by enhancing the effect of wind erosion, especially in arid or semi-arid areas, high wind speed often works together with low humidity and high temperature to make the soil more susceptible to erosion; in summary, soil temperature, soil moisture, rainfall and wind speed are all important factors affecting the soil erosion rate, therefore, the present invention monitors soil temperature, soil moisture, rainfall information and wind speed information, and uses soil temperature, soil moisture, rainfall information and wind speed information as soil erosion influencing factors to analyze the soil erosion status of the study area, thereby improving the soil erosion monitoring efficiency and accuracy in the study area.

[0057] Figure 1The specific structure of the soil erosion monitoring system is shown in the figure, including an erosion area data acquisition module, an erosion area data analysis module and a soil erosion restoration module connected in sequence. The erosion area data acquisition module includes a soil data acquisition module, a rainfall monitoring module and a wind speed information monitoring module, wherein the soil data acquisition module includes a soil temperature sensor and a soil moisture sensor, which are respectively used to collect soil temperature and soil moisture data in real time; the rainfall monitoring module is used to collect rainfall information in real time, wherein the rainfall can be collected by using a tipping bucket rain sensor. When the weight of the rain makes the tipping bucket reach a certain angle, the tipping bucket flips and generates an electrical signal for measuring rainfall information; the wind speed information monitoring module is used to collect wind speed information in real time, wherein the wind speed information monitoring module can use a mechanical wind speed sensor to measure wind speed through mechanical parts. Common ones are propeller type, cup type and thermal type. The principle is to use the power of wind to drive the mechanical parts to rotate, and calculate the wind speed by measuring the rotation speed. Since the mechanical wind speed sensor has a simple structure, the cost of use is relatively low. The erosion area data analysis module includes a communication module, a data receiving module, a soil erosion monitoring module, a data transmission module and a display module connected in sequence, wherein the data transmission module is connected to the soil erosion remediation module, that is, the data received by the data transmission module is transmitted to the soil erosion remediation module.

[0058] Specifically, the erosion area data acquisition module includes a soil data acquisition module, a rainfall monitoring module and a wind speed information monitoring module; the soil data acquisition module includes a soil temperature sensor and a soil moisture sensor; the soil temperature sensor is used to collect soil temperature in real time; the soil moisture sensor is used to collect soil moisture in real time; the rainfall monitoring module is used to collect rainfall information in real time; the wind speed information monitoring module is used to collect wind speed information in real time.

[0059] Specifically, the erosion area data analysis module includes a communication module, a data receiving module, a soil erosion monitoring module, a data transmission module and a display module.

[0060] The communication module is used for wireless communication and computer network communication with the erosion area data acquisition module, and receives and transmits the soil temperature, soil moisture, rainfall information and wind speed information of the research area collected by the erosion area data acquisition module.

[0061] In this embodiment, the communication module is based on wireless communication and computer network communication of the 5G protocol, has faster data communication capabilities, and can process data information in a timely manner.

[0062] The data receiving module is used to receive the soil temperature, soil moisture, rainfall information and wind speed information of the research area transmitted by the communication module, and perform data preprocessing and standardization on the soil temperature, soil moisture, rainfall information and wind speed information to obtain standardized soil temperature, soil moisture, rainfall information and wind speed information.

[0063] Specifically, the soil temperature, soil moisture, rainfall information and wind speed information are preprocessed and standardized to obtain the standardized soil temperature, soil moisture, rainfall information and wind speed information in the following specific process:

[0064] Firstly, the soil temperature, soil moisture, rainfall information and wind speed information collected in the study area were preprocessed respectively. The missing values ​​and outliers were interpolated and replaced by cubic spline interpolation method, and then the data were merged to obtain the measured soil temperature, soil moisture, rainfall information and wind speed information.

[0065] Secondly, the measured soil temperature, measured soil moisture, measured rainfall information and measured wind speed information are standardized to obtain the standardized soil temperature, soil moisture, rainfall information and wind speed information, namely:

[0066]

[0067] Among them, T i represents the soil temperature data of the i-th group of standardized processing, t i represents the i-th group of soil temperature data collected, T min , T max Respectively represent the minimum and maximum values ​​of soil temperature data, S i represents the i-th group of standardized soil moisture data, s i represents the i-th group of soil moisture data collected, S min , S max Respectively represent the minimum and maximum values ​​of soil moisture data, P i represents the i-th group of standardized rainfall data, p i represents the i-th group of rainfall data collected, P min , P max Respectively represent the minimum and maximum values ​​of rainfall data, F i represents the i-th group of standardized wind speed data, f i represents the i-th group of wind speed data collected, F min 、F max Respectively represent the minimum and maximum values ​​of wind speed data.

[0068] In this embodiment, if there are missing values ​​in the collected soil temperature, soil moisture, rainfall information, and wind speed information, the missing data points can be inferred from the existing data points by using the cubic spline interpolation method to fill in the data gaps. The specific steps are: first, determine the data range that needs to be interpolated, that is, determine the interpolation interval; secondly, select appropriate nodes in the interpolation interval, the nodes are the segmentation points of the spline function, and the data points at each node are known. Through the known node data, a piecewise cubic polynomial function is constructed so that this function is continuous and smooth in each small interval; use the constructed cubic spline function to calculate the function value of any point in the interpolation interval, and these calculated values ​​are estimates of missing values ​​or outliers. Since the cubic spline interpolation method can maintain the continuity and smoothness of the data, it is an effective method for processing missing values ​​and outliers in environmental monitoring data. The purpose of standardization is to unify the dimensions of soil temperature, soil moisture, rainfall information, and wind speed information so as to analyze the soil erosion state later.

[0069] The soil erosion monitoring module is used to receive the standardized soil temperature, soil moisture, rainfall and wind speed information transmitted by the data receiving module and use them as soil erosion influencing factors. The soil erosion influencing factors are used to conduct correlation analysis on the soil erosion status of the study area, and a soil erosion monitoring model based on soil erosion influencing factors is constructed to predict the soil erosion rate in the study area.

[0070] Specifically, the standardized soil temperature, soil moisture, rainfall information and wind speed information transmitted by the data receiving module are received and used as soil erosion influencing factors. The soil erosion influencing factors are used to conduct correlation analysis on the soil erosion state of the study area, and a soil erosion monitoring model based on soil erosion influencing factors is constructed. The specific process for predicting the soil erosion rate in the study area is as follows:

[0071] First, the erosion area and slope of the study area were obtained, and the measured soil erosion rate of the study area was calculated using the following formula:

[0072] V=P′×C×S

[0073] Among them, V represents the measured soil erosion rate, P′ represents the rainfall erosion force, C represents the slope, and S represents the eroded area.

[0074] In this embodiment, the rainfall erosivity can be calculated by obtaining rainfall data in the study area. The purpose of obtaining the measured soil erosion rate in this embodiment is to analyze the correlation between each soil erosion influencing factor and the actual soil erosion rate, so as to facilitate the subsequent steps to establish a model according to the influence relationship. The soil erosion influencing factor data collected by the input sensor can be used to predict the soil erosion rate.

[0075] Secondly, the influence coefficient of the standardized soil temperature and the measured soil erosion rate is calculated, that is:

[0076]

[0077] Where N represents the total number of soil temperature data collection groups, and r1 represents the influence coefficient of the standardized soil temperature and the measured soil erosion rate.

[0078] In this embodiment, the calculated influence coefficient is the Pearson correlation coefficient. The Pearson correlation coefficient can measure the degree of linear correlation between two variables, so selecting this coefficient as the influence coefficient of the soil erosion influence factor and the measured soil erosion rate can effectively improve the calculation accuracy of the influence coefficient.

[0079] Calculate the influence coefficient of the standardized soil moisture and the measured soil erosion rate, that is:

[0080]

[0081] Among them, r2 represents the influence coefficient of standardized soil moisture and measured soil erosion rate.

[0082] Calculate the influence coefficient of the standardized rainfall information and the measured soil erosion rate, that is:

[0083]

[0084] Among them, r3 represents the influence coefficient of the standardized rainfall information and the measured soil erosion rate.

[0085] Calculate the influence coefficient of the standardized wind speed information and the measured soil erosion rate, that is:

[0086]

[0087] Among them, r4 represents the influence coefficient of the standardized wind speed information and the measured soil erosion rate.

[0088] Finally, a soil erosion monitoring model based on soil erosion influencing factors was constructed to predict the soil erosion rate in the study area, namely:

[0089] V′=r1T+r2S+r3P+r4F

[0090] Among them, V′ represents the predicted soil erosion rate, T, S, P, and F represent soil temperature, soil moisture, rainfall information, and wind speed information, respectively.

[0091] In this embodiment, by analyzing the influence of soil temperature, soil moisture, rainfall information and wind speed information on the measured soil erosion rate, a soil erosion monitoring model based on soil erosion influencing factors is established to predict the soil erosion rate in the study area. Therefore, after collecting soil temperature, soil moisture, rainfall information and wind speed information, these data can be preprocessed and standardized before input into a soil erosion monitoring model based on soil erosion influencing factors to monitor the soil erosion rate.

[0092] The data transmission module is used to receive the soil erosion rate transmitted by the soil erosion monitoring module.

[0093] The display module is used to receive the soil erosion rate transmitted by the data transmission module and send the soil erosion rate to the display screen for timely warning.

[0094] The display module uses a 4-inch industrial-grade LCD screen with clear display, low power consumption and good stability. It is used to display the soil erosion rate in real time and provide timely warnings.

[0095] Specifically, the specific process for receiving the soil erosion rate transmitted by the erosion area data analysis module and determining whether the soil is in an erosion state, and if so, triggering the repair device to perform a repair operation on the soil is as follows:

[0096] According to the soil erosion rate transmitted by the erosion area data analysis module, it is determined whether the soil erosion rate is greater than the set threshold. If so, there is soil erosion, and the repair equipment is triggered to send repair data to obtain the soil type of the study area, and suitable plants are selected for planting according to the soil type. Otherwise, there is no soil erosion.

[0097] The present invention proposes a soil erosion monitoring system for wind-water composite erosion areas. The system analyzes the soil erosion status of the study area by taking the collected soil temperature, soil moisture, rainfall information and wind speed information as soil erosion influencing factors, and calculates the influence relationship between multiple soil erosion influencing factors and the measured soil erosion rate, thereby establishing a soil erosion monitoring model based on soil erosion influencing factors for predicting the soil erosion rate, thereby improving the prediction accuracy and efficiency. At the same time, the soil erosion remediation module is used to determine whether the soil is in an eroded state. If so, the remediation equipment is triggered to perform a soil remediation operation, and corresponding plants are selected according to the soil type in the study area, which can effectively reduce the degree of soil erosion in the study area and effectively prevent soil erosion.

[0098] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0099] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A soil erosion monitoring system for wind and water combined erosion areas, characterized in that: include: The erosion area data collection module is used to collect soil temperature, soil moisture, rainfall information and wind speed information in the study area; The erosion area data analysis module is used to use the collected soil temperature, soil moisture, rainfall information and wind speed information of the study area as soil erosion influencing factors, conduct correlation analysis on the soil erosion status of the study area using the soil erosion influencing factors, and construct a soil erosion monitoring model based on soil erosion influencing factors to predict the soil erosion rate in the study area; Among them, the erosion area data analysis module includes a communication module, a data receiving module, a soil erosion monitoring module, a data transmission module and a display module; A communication module is used for wireless communication and computer network communication with the erosion area data acquisition module, and receiving and transmitting the soil temperature, soil moisture, rainfall information and wind speed information of the study area collected by the erosion area data acquisition module; The data receiving module is used to receive the soil temperature, soil moisture, rainfall information and wind speed information of the research area transmitted by the communication module, and perform data preprocessing and standardization on the soil temperature, soil moisture, rainfall information and wind speed information to obtain standardized soil temperature, soil moisture, rainfall information and wind speed information, specifically: Firstly, the data of soil temperature, soil moisture, rainfall and wind speed in the study area were preprocessed respectively. The missing values ​​and outliers were interpolated and replaced by cubic spline interpolation method, and then the data were merged to obtain the measured soil temperature, soil moisture, rainfall and wind speed information. Secondly, the measured soil temperature, measured soil moisture, measured rainfall information and measured wind speed information are standardized to obtain the standardized soil temperature, soil moisture, rainfall information and wind speed information, namely: Among them, T i represents the soil temperature data of the i-th group of standardized processing, t i represents the i-th group of soil temperature data collected, T min , T max Respectively represent the minimum and maximum values ​​of soil temperature data, S i represents the i-th group of standardized soil moisture data, s i represents the i-th group of soil moisture data collected, S min , S max Respectively represent the minimum and maximum values ​​of soil moisture data, P i represents the i-th group of standardized rainfall data, p i represents the i-th group of rainfall data collected, P min , P max Respectively represent the minimum and maximum values ​​of rainfall data, F i represents the i-th group of standardized wind speed data, f i represents the i-th group of wind speed data collected, F min 、F max Respectively represent the minimum and maximum values ​​of wind speed data; The soil erosion monitoring module is used to receive the standardized soil temperature, soil moisture, rainfall information and wind speed information transmitted by the data receiving module and use them as soil erosion influencing factors. The soil erosion influencing factors are used to conduct correlation analysis on the soil erosion status of the study area, and a soil erosion monitoring model based on soil erosion influencing factors is constructed to predict the soil erosion rate in the study area. Specifically: First, the erosion area and slope of the study area were obtained, and the measured soil erosion rate of the study area was calculated using the following formula: V=P ′ ×C×S Where V represents the measured soil erosion rate, P ′ represents the erosivity of rainfall, C represents the slope, and S represents the eroded area; Secondly, the influence coefficient of the standardized soil temperature and the measured soil erosion rate is calculated, that is: Among them, N represents the total number of soil temperature data collection groups, r1 represents the influence coefficient of the standardized soil temperature and the measured soil erosion rate; Calculate the influence coefficient of the standardized soil moisture and the measured soil erosion rate, that is: Among them, r2 represents the influence coefficient of standardized soil moisture and measured soil erosion rate; Calculate the influence coefficient of the standardized rainfall information and the measured soil erosion rate, that is: Among them, r3 represents the influence coefficient of the standardized rainfall information and the measured soil erosion rate; Calculate the influence coefficient of the standardized wind speed information and the measured soil erosion rate, that is: Among them, r4 represents the influence coefficient of the standardized wind speed information and the measured soil erosion rate; Finally, a soil erosion monitoring model based on soil erosion influencing factors was constructed to predict the soil erosion rate in the study area, namely: IN ′ =r1T+r2S+r3P+r4F Among them, V ′ represents the predicted soil erosion rate, T, S, P, and F represent soil temperature, soil moisture, rainfall information, and wind speed information, respectively; A data transmission module, used for receiving the soil erosion rate transmitted by the soil erosion monitoring module; A display module is used to receive the soil erosion rate transmitted by the data transmission module and send the soil erosion rate to a display screen for timely warning; The soil erosion repair module is used to receive the soil erosion rate transmitted by the erosion area data analysis module, determine whether the soil is in an eroded state, and if so, trigger the repair equipment to perform repair operations on the soil.

2. The soil erosion monitoring system for wind-water combined erosion areas according to claim 1 is characterized in that: The erosion area data acquisition module includes a soil data acquisition module, a rainfall monitoring module, and a wind speed information monitoring module; The soil data acquisition module includes a soil temperature sensor and a soil moisture sensor; Soil temperature sensor, used to collect soil temperature in real time; Soil moisture sensor, used to collect soil moisture in real time; Rainfall monitoring module, used to collect rainfall information in real time; Wind speed information monitoring module is used to collect wind speed information in real time.

3. The soil erosion monitoring system for wind-water combined erosion areas according to claim 1 is characterized in that: It is used to receive the soil erosion rate transmitted by the erosion area data analysis module, and determine whether the soil is in an erosion state. If so, the specific process of triggering the repair equipment to repair the soil is as follows: According to the soil erosion rate transmitted by the erosion area data analysis module, it is determined whether the soil erosion rate is greater than the set threshold. If so, there is soil erosion, which triggers the repair equipment to send repair data, obtain the soil type of the study area, and select suitable plants for planting according to the soil type. Otherwise, there is no soil erosion.

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