An environmental monitoring method and system based on multi-source data

Abstract

The present invention relates to the technical field of environmental monitoring, and particularly to an environmental monitoring method and system based on multi-source data. The present invention divides the area to be monitored into several environmental monitoring regions, determines the pore dynamic parameters of the environmental monitoring regions to screen the pore enrichment regions, constructs a feature vector set according to the pointing similarity of several wind direction characterization vectors and determines whether there is an interaction influence region, extracts the wind force parameters of each feature vector in the feature vector set, determines the regional scope of the interaction influence region, obtains the soil-water ecological coupling value of the interaction influence region to determine whether to issue a warning prompt for the environmental anomaly of the interaction influence region. Furthermore, it realizes dynamically adjusting the monitoring focus according to the specific conditions of the soil quality in the region combined with the actual environmental impact factors, improves the capture accuracy of the subsidence phenomenon in the monitoring region and the reliability of environmental monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to an environmental monitoring method and system based on multi-source data. Background Art

[0002] The ecosystem contains a variety of ecological environment categories. Due to the unique natural characteristics of some specific ecological environments, the soil in the ecological environment is loose, has large pores and developed vertical joints, and has extremely weak anti-erosion ability. Under the climate conditions of concentrated precipitation and strong winds, sand weathering, freeze-thaw, and collapsibility phenomena are serious. Real-time monitoring can accurately capture the dynamic changes of the soil and guide the direction of ecological restoration. Therefore, dynamically adjusting the monitoring focus and improving the reliability of environmental monitoring are the technical problems that need to be solved urgently.

[0003] For example, the Chinese patent authorization announcement number: CN114547919B. This invention discloses a wind erosion monitoring and prevention simulation system and method for sandy mountain areas. The system includes a data acquisition module, a wind erosion degree calculation module, a prevention and control plan matching module, a prevention and control plan simulation module, and a plan generation module; the data acquisition module is used to collect soil parameters, meteorological parameters, vegetation parameters, and wind erosion parameters of the observation site; the wind erosion degree calculation module is used to obtain the wind erosion degree and wind erosion characteristics of the observation site; the prevention and control plan matching module is used to obtain multiple reference prevention and control measures for the observation site; the prevention and control plan simulation module is used to simulate and analyze the improvement gain after the implementation of the prevention and control measures at the observation site; the plan generation module is used to obtain the optimal wind erosion prevention and control plan through the improvement gain. This system and method have guiding effects and practical benefits for carrying out soil and water conservation monitoring, soil and water loss prevention and control of desertified land, etc.

[0004] The following problems also exist in the prior art:

[0005] The prior art does not consider areas with loose soil, large pores and developed vertical joints, and has weak anti-erosion ability. The prior art cannot dynamically adjust the monitoring focus according to the specific soil conditions in the region combined with actual environmental impact factors, which affects the capture accuracy of collapsibility phenomena in the monitoring area and the reliability of environmental monitoring. Summary of the Invention

[0006] Therefore, the present invention provides an environmental monitoring method and system based on multi-source data to overcome the problems that the prior art cannot dynamically adjust the monitoring focus according to the specific soil conditions in the region combined with actual environmental impact factors, which affects the capture accuracy of collapsibility phenomena in the monitoring area and the reliability of environmental monitoring.

[0007] To achieve the above object, the present invention provides an environmental monitoring method and system based on multi-source data, including:

[0008] Divide the area to be monitored into several environmental monitoring regions, and obtain the historical information of the surface morphology corresponding to each environmental monitoring region;

[0009] Among them, the historical information of the surface morphology includes the terrain contour parameters corresponding to each historical temperature value within a preset temperature range in the environmental monitoring region;

[0010] Determine the pore dynamic parameters of the environmental monitoring region based on the historical information of the surface morphology corresponding to the environmental monitoring region, and screen the pore enrichment regions according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring region;

[0011] Determine the wind direction characterization vector of the pore enrichment region based on the wind direction and wind volume of the pore enrichment region, and construct a feature vector set according to the pointing similarity of several wind direction characterization vectors and determine whether there is an interaction influence region;

[0012] In response to the determination result of the existence of the interaction influence region, extract the wind force parameters of each feature vector in the feature vector set, and determine the regional range of the interaction influence region according to the wind force parameters of several feature vectors;

[0013] Obtain the soil and water ecological coupling value of the interaction influence region, and determine whether to issue a warning prompt for the environmental anomaly of the interaction influence region according to the soil and water ecological coupling value.

[0014] Further, the terrain contour parameter is the terrain height value in the direction perpendicular to the horizontal ground.

[0015] Further, the process of determining the pore dynamic parameters includes,

[0016] Calculate the absolute value of the difference between the terrain contour parameters corresponding to the first historical temperature value within the preset temperature range and the terrain contour parameters corresponding to the second historical temperature value within the preset temperature range in each environmental monitoring region, and determine the absolute value of the difference as the pore dynamic parameter;

[0017] Among them, the first historical temperature value is the lower limit of the preset temperature range, and the second historical temperature value is the upper limit of the preset temperature range.

[0018] Further, the process of screening the pore enrichment regions includes,

[0019] If the pore dynamic parameter of the environmental monitoring region meets the pore dominance determination condition, then screen the environmental monitoring region as a pore enrichment region;

[0020] The pore dominance determination condition is that the pore dynamic parameter of the environmental monitoring region exceeds the average value of the pore dynamic parameters of each environmental monitoring region.

[0021] Further, determining the wind direction characterization vector of the pore enrichment area includes:

[0022] Obtaining the wind direction and wind volume corresponding to several moments in the pore enrichment area within a preset monitoring duration;

[0023] Taking the wind direction corresponding to each moment as the vector direction of the wind direction characterization sub-vector, and taking the wind volume corresponding to each moment as the vector magnitude of the wind direction characterization sub-vector;

[0024] Calculating the vector average value of several wind direction characterization sub-vectors within the pore enrichment area, and determining the vector average value as the wind direction characterization vector of the pore enrichment area.

[0025] Further, the process of constructing the feature vector set includes:

[0026] Calculating the pointing similarity between each wind direction characterization vector and the remaining wind direction characterization vectors;

[0027] Determining the average value of several pointing similarities as the pointing similarity reference value;

[0028] Determining the two wind direction characterization vectors corresponding to the pointing similarities not exceeding the pointing similarity reference value as the feature vector group and merging the feature vector groups into the feature vector set;

[0029] Wherein, the pointing similarity is the vector similarity between the wind direction characterization vectors.

[0030] Further, determining whether there is an interaction influence area includes:

[0031] If the number of feature vectors in the feature vector set meets the feature interaction influence condition, it is determined that there is an interaction influence area;

[0032] Wherein, the feature interaction influence condition is that the proportion of the number of feature vectors in the feature vector set in the total number of wind direction characterization vectors exceeds a preset proportion threshold.

[0033] Further, determining the area range of the interaction influence area includes:

[0034] Calculating the average value of the wind force parameters of each feature vector, and the area range size of the interaction influence area is positively correlated with the average value of the wind force parameters.

[0035] Further, the process of determining whether to issue a warning prompt for the environmental anomaly in the interaction influence area includes:

[0036] If the soil-water ecological coupling value does not meet the normal environmental monitoring conditions, it is determined to issue a warning prompt for the environmental anomaly in the interaction influence area;

[0037] Among them, the normal condition for environmental monitoring is that the soil-water ecological coupling value does not exceed a preset soil-water ecological coupling reference value, and the soil-water ecological coupling value is the product of the pore dynamic parameters, soil water content, and annual precipitation in the interaction influence area.

[0038] Furthermore, the present invention also provides an environmental monitoring system based on multi-source data, including:

[0039] A historical database for storing the historical information of the surface morphology of each environmental monitoring area;

[0040] A regional screening module connected to the historical database for obtaining the historical information of the surface morphology of the environmental monitoring area and screening the pore enrichment area according to the historical information of the surface morphology;

[0041] A data acquisition module connected to the regional screening module for obtaining the wind direction and wind volume corresponding to several moments in the pore enrichment area and determining the wind direction characterization vector of the pore enrichment area;

[0042] A data identification module connected to the regional screening module and the data acquisition module respectively for determining whether there is an interaction influence area and determining the regional range of the interaction influence area.

[0043] An environmental determination module connected to the regional screening module and the data identification module respectively for calculating the soil-water ecological coupling value of the interaction influence area and determining whether to issue a warning prompt for environmental anomalies in the interaction influence area.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention divides the area to be monitored into several environmental monitoring areas, obtains the corresponding historical information of the surface morphology, determines the pore dynamic parameters of the environmental monitoring area based on the historical information of the surface morphology corresponding to the environmental monitoring area, screens the pore enrichment area according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring area, determines the wind direction characterization vector of the pore enrichment area based on the wind direction and wind volume of the pore enrichment area, constructs a feature vector set according to the pointing similarity of several wind direction characterization vectors and determines whether there is an interaction influence area, in response to the determination result of the existence of an interaction influence area, extracts the wind force parameters of each feature vector in the feature vector set, determines the regional range of the interaction influence area according to the wind force parameters of several feature vectors, obtains the soil-water ecological coupling value of the interaction influence area to determine whether to issue a warning prompt for environmental anomalies in the interaction influence area. Furthermore, it realizes the dynamic adjustment of the monitoring focus according to the specific soil conditions in the area combined with the actual environmental impact factors, improves the capture accuracy of the collapsibility phenomenon in the monitoring area, and the reliability of environmental monitoring.

[0045] In particular, the present invention obtains historical information on the surface morphology, including the terrain profile parameters corresponding to each historical temperature value within a preset time period in the environmental monitoring area. It can be understood that due to the loose soil and large pores, freeze-thaw phenomena are extremely likely to occur when the temperature changes. The freeze-thaw process will directly cause changes in the height of the terrain. When the temperature drops and water freezes into ice, its volume expands, exerting pressure on the surrounding substances, resulting in the uplift of the ground surface. When the temperature rises and the ice melts, the part that was originally supported by the ice will lose support, causing the ground surface to sink and the terrain height to decrease. By obtaining the terrain profile parameters at different temperatures within a certain period of time, the looseness of the soil in each environmental monitoring area can be more intuitively characterized. Furthermore, the specific conditions of the soil within the area are intuitively reflected, improving the capture accuracy of the subsidence phenomenon in the monitoring area and the reliability of environmental monitoring.

[0046] In particular, the present invention determines the pore dynamic parameter based on the absolute value of the difference between the terrain profile parameter corresponding to the first historical temperature value and the terrain profile parameter corresponding to the second historical temperature value within the preset temperature range in each environmental monitoring area. It can be understood that within the same temperature range, the change amount of the terrain profile parameters in each environmental monitoring area can characterize the soil pore value in each environmental monitoring area. The larger the absolute value of the difference in terrain profile parameters, it indicates that in the current environmental monitoring area, due to the large pores in the soil and the relatively loose soil quality, a freeze-thaw phenomenon has occurred when the temperature value changes. The smaller the absolute value of the difference in terrain profile parameters, it indicates that in the current environmental monitoring area, due to the small pores in the soil and the relatively compact soil quality. Furthermore, the specific conditions of the soil within the area are quantified, improving the capture accuracy of the subsidence phenomenon in the monitoring area and the reliability of environmental monitoring.

[0047] In particular, the present invention obtains the wind direction characterization vector of the pore-rich area. It can be understood that the loess in the loess area accumulates deeply, reaching dozens to hundreds of meters. Due to the small particle size value of the loess, the loess accumulated in the loess area is mainly transported and deposited by wind. The pores in the pore-rich area are larger, and it is more easily affected by the wind, resulting in the migration of the loess in the current area. By obtaining the wind direction characterization vector of the pore-rich area, furthermore, the capture accuracy of the subsidence phenomenon in the monitoring area and the reliability of environmental monitoring are improved.

[0048] In particular, the present invention constructs a feature vector set according to the pointing similarity of several wind direction characterization vectors and determines whether there is an interaction influence region. It can be understood that the wind direction is a key factor affecting sand and dust activities and loess migration. In the loess area, the wind flow is complex. Different pore enrichment regions have different pointing directions of wind direction characterization vectors. The wind direction characterization vectors with high similarity indicate that the loess migration directions in the pore enrichment regions where the wind direction characterization vectors are located are the same, and the loess migration amounts are superimposed. In the region in this direction, the sand and dust activities will be more intense, and processes such as soil wind erosion and dust transportation will be more serious. Constructing the wind direction characterization vectors with high similarity into a feature vector set helps to intuitively reflect the spatial wind field characteristics and intuitively see the concentration trend of the wind direction in different plots. The present invention constructs a feature vector set according to the pointing similarity of several wind direction characterization vectors and determines whether there is an interaction influence region. Furthermore, it realizes dynamically adjusting the monitoring focus according to the specific soil conditions in the region combined with the actual environmental influence factors, improving the capture accuracy of the collapsibility phenomenon in the monitoring region and the reliability of environmental monitoring.

[0049] In particular, the present invention determines the regional scope of the interaction influence region according to the wind force parameters of several feature vectors. It can be understood that the wind force parameter is a key factor determining the intensity of sand and dust activities. When the wind force parameter is small, only a small amount of fine dust particles can be driven to move, and the regional scope of the interaction influence region is smaller. As the wind force parameter increases, the particle size of the dust particles that can be blown up will increase, and the transportation distance of the dust will also be farther, and the regional scope of the interaction influence region is larger. The present invention determines the regional scope of the interaction influence region according to the wind force parameters of several feature vectors. Furthermore, it realizes dynamically adjusting the monitoring focus according to the specific soil conditions in the region combined with the actual environmental influence factors, improving the capture accuracy of the collapsibility phenomenon in the monitoring region and the reliability of environmental monitoring.

[0050] In particular, the present invention determines whether to issue a warning prompt for the environmental anomaly of the interaction area according to the soil and water ecological coupling value of the interaction area. It can be understood that loess has collapsibility. When the loess soil with larger pores is soaked by water under a certain pressure, its structure will be quickly damaged and significant additional settlement will occur. The larger the soil and water ecological coupling value of the interaction area, the larger the pore dynamic parameters, the higher the soil water content, and the higher the annual precipitation, the more severe the collapsibility phenomenon in this area, and the more necessary it is to issue an abnormal warning prompt for the soil and water environment in this area. The smaller the soil and water ecological coupling value of the interaction area, the smaller the pore dynamic parameters, the lower the soil water content, and the lower the annual precipitation, the less severe the collapsibility phenomenon in this area, and there is no need to issue an abnormal warning prompt for the soil and water environment in this area. The present invention determines whether to issue a warning prompt for the environmental anomaly of the interaction area according to the soil and water ecological coupling value of the interaction area. Furthermore, it realizes dynamically adjusting the monitoring focus according to the specific situation of the soil quality in the area combined with the actual environmental impact factors, improving the capture accuracy of the collapsibility phenomenon in the monitoring area and the reliability of environmental monitoring. Description of the Drawings

[0051] Figure 1 It is a step diagram of the environmental monitoring method based on multi-source data according to an embodiment of the present invention;

[0052] Figure 2 It is a logical flow chart for screening pore enrichment areas according to an embodiment of the present invention;

[0053] Figure 3 It is a logical flow chart for determining whether there is an interaction area according to an embodiment of the present invention;

[0054] Figure 4 It is a functional block diagram of the environmental monitoring system based on multi-source data according to an embodiment of the present invention. Detailed Embodiments

[0055] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described here are only used to explain the present invention and are not used to limit the present invention.

[0056] The preferred embodiments of the present invention will be described below with reference to the drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0057] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0058] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation" and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0059] Please refer to Figure 1 As shown, it is a step diagram of the environmental monitoring method based on multi-source data in an embodiment of the present invention. The environmental monitoring method based on multi-source data of the present invention includes:

[0060] Step S100, dividing the area to be monitored into several environmental monitoring regions, and obtaining the historical information of the surface morphology corresponding to each environmental monitoring region;

[0061] Wherein, the historical information of the surface morphology includes the terrain contour parameters corresponding to each historical temperature value within a preset temperature range in the environmental monitoring region;

[0062] Specifically, the size of the divided environmental monitoring regions can be set by those skilled in the art according to the accuracy requirements of environmental monitoring. The higher the accuracy requirements, the smaller the divided environmental monitoring regions. Preferably, the environmental monitoring region can be a square plot with a side length of 20 m, and the number of environmental monitoring regions can be 20.

[0063] Specifically, the preset temperature range can be set by those skilled in the art according to the actual historical temperature values of the currently monitored area. Preferably, the temperature range can be [-5, 5], and the interval unit is °C.

[0064] Specifically, the present invention obtains the historical information of the surface morphology, including the terrain contour parameters corresponding to each historical temperature value within a preset time period in the environmental monitoring region. It can be understood that due to the loose soil and large pores, freeze-thaw phenomena are extremely likely to occur when the temperature changes, and the freeze-thaw process will directly cause the change of the terrain height. When the temperature drops and the water freezes into ice, the volume expands, exerting pressure on the surrounding substances, resulting in the uplift of the surface. When the temperature rises and the ice melts, the part originally supported by the ice will lose support, resulting in the subsidence of the surface and the reduction of the terrain height. By obtaining the terrain contour parameters at different temperatures within a period of time, the looseness of the soil in each environmental monitoring region can be more intuitively characterized. Furthermore, the specific situation of the soil quality in the region is intuitively reflected, the capture accuracy of the collapsibility phenomenon in the monitoring region is improved, and the reliability of environmental monitoring is enhanced.

[0065] Step S200: Determine the pore dynamic parameters of the environmental monitoring area based on the historical surface morphology information corresponding to the environmental monitoring area, and screen the pore enrichment areas according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring area;

[0066] Step S300: Determine the wind direction characterization vector of the pore enrichment area based on the wind direction and wind volume of the pore enrichment area, construct a feature vector set according to the pointing similarity of several wind direction characterization vectors, and determine whether there is an interaction influence area;

[0067] Specifically, the present invention does not limit the acquisition methods of the wind direction and wind volume. Preferably, it can be obtained by a drone carrying a small meteorological sensor. By sensing the torque exerted on the wind vane by the air flow to make the wind vane rotate, an angle sensor is used to measure the rotation angle of the wind vane to determine the wind direction, and the ultrasonic wave propagation speed in the air is affected by the wind speed to obtain the wind speed. Details are not described here.

[0068] Step S400: In response to the determination result of the existence of an interaction influence area, extract the wind force parameters of each feature vector in the feature vector set, and determine the area range of the interaction influence area according to the wind force parameters of several feature vectors;

[0069] Step S500: Obtain the soil and water ecological coupling value of the interaction influence area, and determine whether to issue a warning prompt for the environmental anomaly of the interaction influence area according to the soil and water ecological coupling value.

[0070] Specifically, the terrain profile parameter is the terrain height value in the direction perpendicular to the horizontal ground.

[0071] Specifically, the present invention does not limit the acquisition method of the terrain profile parameter. Preferably, it can be obtained by a drone carrying a lidar. The lidar emits laser pulses to the ground and measures the time from the emission of the laser to the return to the sensor to calculate the distance between the sensor and the ground target point, so as to obtain the terrain profile parameter. Details are not described here.

[0072] Specifically, the process of determining the pore dynamic parameters includes,

[0073] Calculate the absolute value of the difference between the terrain profile parameter corresponding to the first historical temperature value and the terrain profile parameter corresponding to the second historical temperature value within the preset temperature range for each environmental monitoring area, and determine the absolute value of the difference as the pore dynamic parameter;

[0074] Wherein, the first historical temperature value is the lower limit of the preset temperature range, and the second historical temperature value is the upper limit of the preset temperature range.

[0075] Specifically, the present invention determines the pore dynamic parameter according to the absolute value of the difference between the terrain profile parameter corresponding to the first historical temperature value and the terrain profile parameter corresponding to the second historical temperature value within the preset temperature range in each environmental monitoring area. It can be understood that within the same temperature range, the change amount of the terrain profile parameter in each environmental monitoring area can characterize the soil pore value in each environmental monitoring area. The larger the absolute value of the difference in the terrain profile parameter, it indicates that when the temperature value changes in the current environmental monitoring area, due to the relatively large pores in the soil and the relatively loose soil quality, freeze-thaw phenomenon occurs. The smaller the absolute value of the difference in the terrain profile parameter, it indicates that when the temperature value changes in the current environmental monitoring area, due to the relatively small pores in the soil and the relatively compact soil quality. Furthermore, the specific situation of the soil quality within the area is quantified, the capture accuracy of the collapsibility phenomenon in the monitoring area is improved, and the reliability of environmental monitoring is enhanced.

[0076] Specifically, please refer to Figure 2 as shown, which is the logic flow chart for screening pore enrichment areas in the embodiment of the present invention. The process of screening pore enrichment areas includes

[0077] If the pore dynamic parameter of the environmental monitoring area meets the pore dominance determination condition, then the environmental monitoring area is screened as a pore enrichment area;

[0078] If the pore dynamic parameter of the environmental monitoring area does not meet the pore dominance determination condition, then the environmental monitoring area is not screened;

[0079] The pore dominance determination condition is that the pore dynamic parameter of the environmental monitoring area exceeds the average value of the pore dynamic parameters of each environmental monitoring area.

[0080] Specifically, determining the wind direction characterization vector of the pore enrichment area includes

[0081] Obtaining the wind direction and wind volume corresponding to several moments in the pore enrichment area within the preset monitoring duration;

[0082] Taking the wind direction corresponding to each moment as the vector direction of the wind direction characterization sub-vector, and taking the wind volume corresponding to each moment as the vector magnitude of the wind direction characterization sub-vector;

[0083] Calculating the vector average value of several wind direction characterization sub-vectors within the pore enrichment area, and determining the vector average value as the wind direction characterization vector of the pore enrichment area.

[0084] Specifically, the preset monitoring duration can be set by those skilled in the art according to the accuracy requirements of environmental monitoring. The higher the accuracy requirements, the longer the preset monitoring duration. Preferably, the monitoring duration can be 1 min.

[0085] A specific method for calculating the vector average value is given here. When the wind direction characterization sub-vectors obtained are vector W1(X1, Y1, Z1), vector W2(X2, Y2, Z2),..., vector Wn(Xn, Yn, Zn), the vector average value .

[0086] Specifically, the present invention obtains the wind direction characterization vector of the pore enrichment area. It can be understood that the loess in the loess area is thickly deposited, reaching dozens of meters to hundreds of meters. Due to the small particle size value of the loess, the loess deposited in the loess area is mainly formed by wind transportation and deposition. The pores in the pore enrichment area are larger and are more easily affected by the wind, resulting in the migration of the loess in the current area. By obtaining the wind direction characterization vector of the pore enrichment area, the present invention improves the capture accuracy of the collapsibility phenomenon in the monitoring area and the reliability of environmental monitoring.

[0087] Specifically, the process of constructing the feature vector set includes

[0088] calculating the pointing similarity between each wind direction characterization vector and the remaining wind direction characterization vectors;

[0089] determining the average value of several pointing similarities as the pointing similarity reference value;

[0090] determining the two wind direction characterization vectors corresponding to the pointing similarities not exceeding the pointing similarity reference value as the feature vector group and merging the feature vector groups into the feature vector set;

[0091] wherein, the pointing similarity is the vector similarity between the wind direction characterization vectors.

[0092] Specifically, the vector similarity can be obtained by calculating the cosine similarity. By calculating the cosine similarity of the wind direction characterization vectors, the closeness of the vectors is quantified, which will not be elaborated here.

[0093] Specifically, please refer to Figure 3 shown, which is the logic flow chart for determining whether there is an interaction influence area in the embodiment of the present invention. Determining whether there is an interaction influence area includes

[0094] If the number of feature vectors in the feature vector set meets the feature interaction influence condition, it is determined that there is an interaction influence area;

[0095] If the number of feature vectors in the feature vector set does not meet the feature interaction influence condition, it is determined that there is no interaction influence area;

[0096] wherein, the feature interaction influence condition is that the proportion of the number of feature vectors in the feature vector set in the total number of wind direction characterization vectors exceeds a preset proportion threshold.

[0097] Specifically, the proportion threshold can be set by those skilled in the art according to the average value of several historical experimental data. Preferably, the proportion threshold can be 0.6.

[0098] Specifically, the present invention constructs a feature vector set according to the pointing similarity of several wind direction characterization vectors and determines whether there is an interaction influence area. It can be understood that the wind direction is a key factor affecting sandstorm activities and loess migration. In the loess area, the wind flow is complex, and different pore enrichment areas have different pointing directions of wind direction characterization vectors. The wind direction characterization vectors with high similarity indicate that the loess migration directions in the pore enrichment areas where the wind direction characterization vectors are located are the same, and the loess migration amounts are superimposed. In the area in this direction, sandstorm activities will be more intense, and processes such as soil wind erosion and dust transportation will be more serious. Constructing the wind direction characterization vectors with high similarity into a feature vector set helps to intuitively reflect the spatial wind field characteristics and intuitively see the concentration trend of the wind direction in different plots. The present invention constructs a feature vector set according to the pointing similarity of several wind direction characterization vectors and determines whether there is an interaction influence area. Furthermore, it realizes dynamic adjustment of the monitoring focus according to the specific soil conditions in the area combined with actual environmental influence factors, improving the capture accuracy of the subsidence phenomenon in the monitoring area and the reliability of environmental monitoring.

[0099] Specifically, determining the area range of the interaction influence area includes

[0100] Calculating the average value of the wind force parameters of each feature vector, and the area range size of the interaction influence area is positively correlated with the average value of the wind force parameters.

[0101] Specifically, the present invention determines the area range of the interaction influence area according to the wind force parameters of several feature vectors. It can be understood that the wind force parameter is a key factor determining the intensity of sandstorm activities. When the wind force parameter is small, only a small amount of fine dust particles can be driven to move, and the area range of the interaction influence area is smaller. As the wind force parameter increases, the particle size of the dust that can be blown up will increase, and the transportation distance of the dust will also be farther, and the area range of the interaction influence area is larger. The present invention determines the area range of the interaction influence area according to the wind force parameters of several feature vectors. Furthermore, it realizes dynamic adjustment of the monitoring focus according to the specific soil conditions in the area combined with actual environmental influence factors, improving the capture accuracy of the subsidence phenomenon in the monitoring area and the reliability of environmental monitoring.

[0102] Specifically, the process of determining whether to issue a warning prompt for the environmental anomaly in the interaction influence area includes:

[0103] If the soil-water ecological coupling value does not meet the normal conditions of environmental monitoring, it is determined to issue a warning prompt for the environmental anomaly in the interaction influence area;

[0104] If the soil and water ecological coupling value meets the normal conditions of environmental monitoring, no warning prompt is issued;

[0105] Among them, the normal conditions of environmental monitoring are that the soil and water ecological coupling value does not exceed the preset soil and water ecological coupling reference value, and the soil and water ecological coupling value is the product of the pore dynamic parameters, soil water content, and annual precipitation in the interaction area.

[0106] Specifically, the preset soil and water ecological coupling reference value can be set by those skilled in the art according to the average value of historical data in the same monitoring area. Preferably, the soil and water ecological coupling reference value can be 50 cm 2 .

[0107] Specifically, the present invention does not limit the specific acquisition method of soil water content. Preferably, it can be obtained by a drone carrying a multispectral sensor, obtaining the multispectral image data of the monitoring area, extracting relevant parameters from the image, and establishing an inversion model of soil water content to obtain the soil water content of the area, which will not be elaborated here.

[0108] Specifically, the present invention does not limit the specific acquisition method of annual precipitation. Preferably, it can be obtained by a drone carrying a meteorological sensor, measuring parameters such as the size, quantity, distribution of precipitation particles, and air humidity through the meteorological sensor, and then obtaining the precipitation for a period of time, which will not be elaborated here.

[0109] Specifically, the present invention determines whether to issue a warning prompt for environmental anomalies in the interaction area according to the soil and water ecological coupling value in the interaction area. It can be understood that loess has collapsibility. When the loess soil with larger pores is wetted by water under a certain pressure, its structure will be quickly damaged and significant additional settlement will occur. The larger the soil and water ecological coupling value in the interaction area, the larger the pore dynamic parameters, the higher the soil water content, and the higher the annual precipitation, the more severe the collapsibility phenomenon in this area, and the more necessary it is to issue an abnormal warning prompt for the soil and water environment in this area. The smaller the soil and water ecological coupling value in the interaction area, the smaller the pore dynamic parameters, the lower the soil water content, and the lower the annual precipitation, the less severe the collapsibility phenomenon in this area, and there is no need to issue an abnormal warning prompt for the soil and water environment in this area. The present invention determines whether to issue a warning prompt for environmental anomalies in the interaction area according to the soil and water ecological coupling value in the interaction area. Furthermore, it realizes dynamic adjustment of the monitoring focus according to the specific conditions of the soil quality in the area combined with actual environmental impact factors, improving the capture accuracy of the collapsibility phenomenon in the monitoring area and the reliability of environmental monitoring.

[0110] Specifically, please refer to Figure 4 As shown, it is the functional block diagram of the environmental monitoring system based on multi-source data in an embodiment of the present invention. The present invention also provides an environmental monitoring system based on multi-source data, including:

[0111] A historical database for storing historical information on the surface morphology of each environmental monitoring area;

[0112] A region screening module, connected to the historical database, for obtaining the historical information on the surface morphology of the environmental monitoring area and screening the pore enrichment regions according to the historical information on the surface morphology;

[0113] A data acquisition module, connected to the region screening module, for obtaining the wind direction and wind volume corresponding to several moments within the pore enrichment region and determining the wind direction characterization vector of the pore enrichment region;

[0114] A data identification module, respectively connected to the region screening module and the data acquisition module, for determining whether there is an interaction influence region and determining the region range of the interaction influence region.

[0115] An environmental determination module, respectively connected to the region screening module and the data identification module, for calculating the soil and water ecological coupling value of the interaction influence region and determining whether to issue a warning prompt for environmental anomalies in the interaction influence region.

[0116] Specifically, the present invention does not limit the specific structure of the historical database. Preferably, it can be a processor used in a computer to store the historical information on the surface morphology of each environmental monitoring area, which will not be elaborated here.

[0117] Specifically, the present invention does not limit the specific structure of the region screening module. Preferably, it can be a microprocessor to screen the pore enrichment regions according to the historical information on the surface morphology, which will not be elaborated here.

[0118] Specifically, the present invention does not limit the specific structure of the data acquisition module. Preferably, it can be a processor used in a computer to obtain the wind direction and wind volume corresponding to several moments within the pore enrichment region and determine the wind direction characterization vector of the pore enrichment region, which will not be elaborated here.

[0119] Specifically, the present invention does not limit the specific structure of the data identification module. Preferably, it can be a microprocessor to determine whether there is an interaction influence region and determine the region range of the interaction influence region, which will not be elaborated here.

[0120] Specifically, the present invention does not limit the specific structure of the environmental determination module. Preferably, it can be a field programmable logic component to calculate the soil and water ecological coupling value of the interaction influence region and determine whether to issue a warning prompt for environmental anomalies in the interaction influence region, which will not be elaborated here.

[0121] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0122] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, 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. An environmental monitoring method based on multi-source data, characterized in that, Including: Dividing the area to be monitored into several environmental monitoring regions, and obtaining the historical information of the surface morphology corresponding to each environmental monitoring region; Wherein, the historical information of the surface morphology includes the terrain profile parameters corresponding to each historical temperature value within a preset temperature range in the environmental monitoring region; Determining the pore dynamic parameters of the environmental monitoring region based on the historical information of the surface morphology corresponding to the environmental monitoring region, and screening the pore enrichment regions according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring region; Determining the wind direction characterization vector of the pore enrichment region based on the wind direction and wind volume of the pore enrichment region, constructing a feature vector set according to the pointing similarity of several wind direction characterization vectors, and determining whether there is an interaction influence region; In response to the determination result of the existence of an interaction influence region, extracting the wind force parameters of each feature vector in the feature vector set, and determining the regional range of the interaction influence region according to the wind force parameters of several feature vectors; Obtaining the soil-water ecological coupling value of the interaction influence region, and determining whether to issue a warning prompt for the environmental anomaly of the interaction influence region according to the soil-water ecological coupling value; The soil-water ecological coupling value is the product of the pore dynamic parameters, soil water content and annual precipitation in the interaction influence region.

2. The environmental monitoring method based on multi-source data according to claim 1, wherein The terrain profile parameter is the terrain height value in the direction perpendicular to the horizontal ground.

3. The environmental monitoring method based on multi-source data according to claim 2, characterized in that The process of determining the pore dynamic parameters includes, Calculating the absolute value of the difference between the terrain profile parameters corresponding to the first historical temperature value within a preset temperature range in each environmental monitoring region and the terrain profile parameters corresponding to the second historical temperature value within the preset temperature range, and determining the absolute value of the difference as the pore dynamic parameter; Wherein, the first historical temperature value is the lower limit of the preset temperature range, and the second historical temperature value is the upper limit of the preset temperature range.

4. The environmental monitoring method based on multi-source data according to claim 3, characterized in that The process of screening the pore enrichment regions includes, If the pore dynamic parameters of the environmental monitoring region meet the pore dominance determination condition, then screening the environmental monitoring region as a pore enrichment region; The pore dominance determination condition is that the pore dynamic parameters of the environmental monitoring region exceed the average value of the pore dynamic parameters of each environmental monitoring region.

5. The environmental monitoring method based on multi-source data according to claim 4, wherein Determining the wind direction characterization vector of the pore enrichment region includes, Obtaining the wind direction and wind volume corresponding to several moments in the pore enrichment region within a preset monitoring duration; Taking the wind direction corresponding to each moment as the vector direction of the wind direction characterization sub-vector, and taking the wind volume corresponding to each moment as the vector magnitude of the wind direction characterization sub-vector; Calculating the vector average value of several wind direction characterization sub-vectors in the pore enrichment region, and determining the vector average value as the wind direction characterization vector of the pore enrichment region.

6. The environmental monitoring method based on multi-source data according to claim 5, wherein, The process of constructing the feature vector set includes, Calculating the pointing similarity between each wind direction characterization vector and the remaining wind direction characterization vectors; Determining the average value of several pointing similarities as the pointing similarity reference value; Determining the two wind direction characterization vectors corresponding to the pointing similarities not exceeding the pointing similarity reference value as a feature vector group and merging the feature vector groups into a feature vector set; Wherein, the pointing similarity is the vector similarity between the wind direction characterization vectors.

7. The environmental monitoring method based on multi-source data according to claim 6, wherein Determining whether there is an interaction influence region includes, If the number of eigenvectors in the eigenvector set meets the feature interaction condition, it is determined that there is an interaction area; Among them, the feature interaction condition is that the proportion of the number of eigenvectors in the eigenvector set in the total number of wind direction representation vectors exceeds a preset proportion threshold.

8. The environmental monitoring method based on multi-source data according to claim 7, characterized in that Determining the area range of the interaction area includes Calculating the average value of the wind force parameters of each eigenvector, and the size of the area range of the interaction area is positively correlated with the average value of the wind force parameters.

9. The environmental monitoring method based on multi-source data according to claim 8, characterized in that, The process of determining whether to issue a warning prompt for environmental anomalies in the interaction area includes: If the soil-water ecological coupling value does not meet the normal environmental monitoring conditions, it is determined to issue a warning prompt for environmental anomalies in the interaction area; Among them, the normal environmental monitoring condition is that the soil-water ecological coupling value does not exceed a preset soil-water ecological coupling reference value.

10. An environmental monitoring system based on multi-source data, which is used to execute the environmental monitoring method based on multi-source data according to any one of the above claims 1-9, characterized in that Including: A historical database for storing the historical information of the surface morphology of each environmental monitoring area; A region screening module connected to the historical database for obtaining the historical information of the surface morphology of the environmental monitoring area and screening the pore enrichment regions according to the historical information of the surface morphology; A data acquisition module connected to the region screening module for obtaining the wind direction and air volume corresponding to several moments in the pore enrichment region and determining the wind direction representation vector of the pore enrichment region; A data identification module connected to the region screening module and the data acquisition module respectively for determining whether there is an interaction area and determining the area range of the interaction area; An environmental determination module connected to the region screening module and the data identification module respectively for calculating the soil-water ecological coupling value of the interaction area and determining whether to issue a warning prompt for environmental anomalies in the interaction area.

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