Environment monitoring method and system based on multi-source data

Abstract

The invention relates to the technical field of environment monitoring, in particular to an environment monitoring method and system based on multi-source data, and the method comprises the steps: dividing a to-be-monitored region into a plurality of environment monitoring regions, and determining the pore dynamic parameters of the environment monitoring regions to screen pore-enriched regions; constructing a feature vector set according to the pointing similarity of the plurality of wind direction characterization vectors, judging whether an interactive influence region exists, extracting wind power parameters of each feature vector in the feature vector set, and determining a region range of the interactive influence region, and obtaining a water-soil ecological coupling value of the interactive influence area to determine whether to send out an early warning prompt of environment abnormity of the interactive influence area, thereby dynamically adjusting the monitoring key point according to the specific condition of the soil quality in the area in combination with the actual environment influence factor. And the capturing accuracy of the collapse phenomenon in the monitoring area and the reliability of environment monitoring are improved.

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] Ecosystems contain a variety of ecological environmental categories. Due to their unique natural characteristics, some specific ecological environments have loose soil, large pores, and developed vertical joints, and their ability to resist erosion is extremely weak. Under conditions of concentrated precipitation and windy climates, sand weathering, freeze-thaw, and subsidence are serious. Real-time monitoring can accurately capture the dynamic changes of the soil and provide guidance for ecological restoration. Therefore, dynamically adjusting the monitoring focus and improving the reliability of environmental monitoring are technical issues that need to be urgently addressed.

[0003] For example, the Chinese patent authorization announcement number is: CN114547919B, which discloses a wind erosion monitoring and prevention simulation system and method in a sand mountain area. 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 of the prevention and control measures after implementation at the observation site; the plan generation module is used to obtain the optimal wind erosion prevention and control plan through the improvement gain. The system and method have a guiding role and practical benefits for carrying out soil and water conservation monitoring, soil and water loss prevention and control in desertified land, etc.

[0004] The prior art still has the following problems: The existing technology does not take into account areas with loose soil, large pores and developed vertical joints, and has weak anti-erosion ability. The existing technology cannot dynamically adjust the monitoring focus based on the specific conditions of the soil in the region and the actual environmental influencing factors, which affects the accuracy of capturing the wetting phenomenon in the monitored area and the reliability of environmental monitoring. Summary of the invention

[0005] To this end, the present invention provides an environmental monitoring method and system based on multi-source data to overcome the problem that the prior art cannot dynamically adjust the monitoring focus according to the specific conditions of the soil in the area and the actual environmental influencing factors, which affects the accuracy of capturing the wetting phenomenon in the monitored area and the reliability of environmental monitoring.

[0006] To achieve the above objectives, the present invention provides an environmental monitoring method and system based on multi-source data, comprising: Divide the area to be monitored into several environmental monitoring areas, and obtain the historical information of the surface morphology corresponding to each environmental monitoring area; The surface morphology historical information includes terrain contour parameters corresponding to each historical temperature value within a preset temperature range in the environmental monitoring area; Determine the pore dynamic parameters of the environmental monitoring area based on the historical information of the surface morphology corresponding to the environmental monitoring area, and screen the pore-enriched area according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring area; Determine a wind direction characterization vector of the pore-enriched area based on the wind direction and wind volume of the pore-enriched area, construct a feature vector set according to the directional similarity of several wind direction characterization vectors, and determine whether there is an interactive influence area; In response to a determination result that an interactive influence region exists, extracting a wind parameter of each feature vector in the feature vector set, and determining a region range of the interactive influence region according to the wind parameters of a plurality of feature vectors; The water-soil ecological coupling value of the interactively affected area is obtained, and it is determined whether to issue an early warning prompt of environmental abnormality in the interactively affected area according to the water-soil ecological coupling value.

[0007] Furthermore, the terrain profile parameter is a terrain height value in a direction perpendicular to the horizontal ground.

[0008] Furthermore, the process of determining the pore dynamic parameters includes: Calculate the absolute value of the difference between the terrain contour parameter corresponding to the first historical temperature value within the preset temperature range and the terrain contour parameter corresponding to the second historical temperature value within the preset temperature range in each environmental monitoring area, and determine the absolute value of the difference as the pore dynamic parameter; The first historical temperature value is the lower limit of a preset temperature range, and the second historical temperature value is the upper limit of the preset temperature range.

[0009] Further, the process of screening the pore-enriched region includes, If the pore dynamic parameters of the environmental monitoring area meet the pore explicit judgment conditions, the environmental monitoring area is screened as a pore-enriched area; The pore explicitness 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.

[0010] Further, determining the wind direction characterization vector of the pore-enriched area includes: Obtain the wind direction and wind volume corresponding to several moments in the pore-enriched area within a preset monitoring time; The wind direction corresponding to each moment is used as the vector direction of the wind direction representation sub-vector, and the wind volume corresponding to each moment is used as the vector magnitude of the wind direction representation sub-vector; The vector average of several wind direction characterization sub-vectors in the pore-enriched region is calculated, and the vector average is determined as the wind direction characterization vector of the pore-enriched region.

[0011] Furthermore, the process of constructing a feature vector set includes: Calculate the directional similarity between each wind direction characterization vector and the other wind direction characterization vectors; An average value of the plurality of pointing similarities is determined as a pointing similarity reference value; Determine two wind direction characterization vectors corresponding to the directional similarity that does not exceed the directional similarity reference value as a feature vector group and merge the feature vector group into a feature vector set; The directional similarity is the vector similarity between wind direction representation vectors.

[0012] Further, determining whether there is an interactive impact area includes: If the number of feature vectors in the feature vector set meets the feature interaction condition, it is determined that there is an interaction influence area; The feature interaction influence condition is that the proportion of the number of feature vectors in the feature vector set to the total number of wind direction characterization vectors exceeds a preset proportion threshold.

[0013] Furthermore, determining the area range of the interactive impact area includes: The average wind parameter value of each eigenvector is calculated, and the size of the interactive impact area is positively correlated with the average wind parameter value.

[0014] Furthermore, the process of determining whether to issue an early warning of an environmental anomaly in the interactive impact area includes: If the water-soil ecological coupling value does not meet the normal conditions of environmental monitoring, it is determined to issue an early warning of environmental abnormality in the interactive impact area; Among them, the normal condition of environmental monitoring is that the water-soil ecological coupling value does not exceed the preset water-soil ecological coupling reference value, and the water-soil ecological coupling value is the product of the pore dynamic parameters, soil moisture content and annual precipitation in the interactive impact area.

[0015] Furthermore, the present invention also provides an environmental monitoring system based on multi-source data, comprising: Historical database, used to store historical information on the surface morphology of each environmental monitoring area; A region screening module, which is connected to the historical database, and is used to obtain the historical information of the surface morphology of the environmental monitoring area, and to screen the pore-enriched area according to the historical information of the surface morphology; A data acquisition module, which is connected to the region screening module, and is used to obtain the wind direction and wind volume corresponding to several moments in the pore-enriched region, and determine the wind direction characterization vector of the pore-enriched region; The data identification module is connected to the area screening module and the data acquisition module respectively, and is used to determine whether there is an interactive impact area and determine the area range of the interactive impact area.

[0016] The environmental determination module is connected to the area screening module and the data identification module respectively, and is used to calculate the water-soil ecological coupling value of the interactive impact area, and to determine whether to issue an early warning prompt of environmental anomalies in the interactive impact area.

[0017] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention divides the area to be monitored into several environmental monitoring areas, obtains the corresponding surface morphology historical information, determines the pore dynamic parameters of the environmental monitoring area based on the surface morphology historical information corresponding to the environmental monitoring area, screens the pore-enriched 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-enriched area based on the wind direction and wind volume of the pore-enriched area, constructs a feature vector set according to the directional similarity of several wind direction characterization vectors and determines whether there is an interactive influence area, extracts the wind parameters of each feature vector in the feature vector set in response to the determination result that there is an interactive influence area, determines the regional scope of the interactive influence area according to the wind parameters of several feature vectors, obtains the water-soil ecological coupling value of the interactive influence area to determine whether to issue an early warning prompt of environmental anomalies in the interactive influence area, and further, realizes the dynamic adjustment of the monitoring focus according to the specific conditions of the soil in the area combined with the actual environmental influencing factors, improves the capture accuracy of the wetting phenomenon in the monitoring area, and the reliability of environmental monitoring.

[0018] In particular, the present invention obtains historical information on surface morphology including terrain contour parameters corresponding to each historical temperature value in the environmental monitoring area within a preset time period. It can be understood that due to the loose soil and large pores, freeze-thaw phenomena are very likely to occur when the temperature changes, and the freeze-thaw process will directly cause the height of the terrain to change. When the temperature drops, the water freezes into ice and expands in volume, exerting pressure on the surrounding materials, causing the surface to bulge. When the temperature rises and the frozen water melts, the part originally supported by the ice will lose support, causing the surface to sink and the terrain height to decrease. By obtaining terrain contour parameters at different temperatures over a period of time, the looseness of the soil in each environmental monitoring area can be more intuitively characterized, thereby achieving an intuitive reflection of the specific conditions of the soil in the area, improving the accuracy of capturing the wetting phenomenon in the monitoring area, and the reliability of environmental monitoring.

[0019] In particular, the present invention determines the pore dynamic parameters according to the absolute value of the difference between the terrain contour parameters corresponding to the first historical temperature value within the preset temperature range of each environmental monitoring area and the terrain contour parameters corresponding to the second historical temperature value within the temperature range. It can be understood that within the same temperature range, the change in the terrain contour parameters of each environmental monitoring area can characterize the soil pore value of each environmental monitoring area. The larger the absolute value of the difference in the terrain contour parameters, the more it indicates that when the temperature value changes, the current environmental monitoring area has experienced freeze-thaw due to larger pores in the soil and loose soil. The smaller the absolute value of the difference in the terrain contour parameters, the more it indicates that when the temperature value changes, the current environmental monitoring area has experienced freeze-thaw due to smaller pores in the soil and compact soil. Furthermore, the specific conditions of the soil in the area are quantified, the accuracy of capturing the wetting phenomenon in the monitoring area and the reliability of environmental monitoring are improved.

[0020] In particular, the present invention obtains the wind direction characterization vector of the pore-enriched area. It can be understood that the loess accumulation in the loess area is deep, reaching tens to hundreds of meters. Since the particle size of the loess is relatively small, the loess accumulated in the loess area is mainly transported and accumulated by wind. The loess pores in the pore-enriched area are larger and more easily affected by wind, causing the loess in the current area to migrate. The present invention obtains the wind direction characterization vector of the pore-enriched area, thereby improving the accuracy of capturing the wetting phenomenon in the monitored area and the reliability of environmental monitoring.

[0021] In particular, the present invention constructs a feature vector set based on the directional similarity of several wind direction characterization vectors and determines whether there is an interactive influence area. It can be understood that wind direction is a key factor affecting wind and sand activity and loess migration. In loess areas, wind flow is complex, and different pore-enriched areas have different wind direction characterization vector directions. Wind direction characterization vectors with high similarity represent that the loess migration direction in the pore-enriched area where the wind direction characterization vector is located is consistent, and the loess migration amount is superimposed. In the area in this direction, wind and sand activity will be more intense, and processes such as soil wind erosion and dust transport will be more serious. Constructing wind direction characterization vectors with high similarity as a feature vector set is helpful to intuitively reflect the spatial wind field characteristics and intuitively see the concentration trend of wind direction in different plots. The present invention constructs a feature vector set based on the directional similarity of several wind direction characterization vectors and determines whether there is an interactive influence area. Furthermore, it realizes the dynamic adjustment of monitoring focus according to the specific conditions of the soil in the area combined with the actual environmental influencing factors, thereby improving the capture accuracy of the wetting phenomenon in the monitoring area and the reliability of environmental monitoring.

[0022] In particular, the present invention determines the regional scope of the interactive influence area based on the wind parameters of several characteristic vectors. It can be understood that the wind parameters are the key factors that determine the intensity of wind and sand activity. When the wind parameters are small, only a small amount of fine sand and dust particles can be driven to move, and the regional scope of the interactive influence area is smaller. As the wind parameters increase, the particle size of the sand and dust particles that can be blown up will increase, and the transportation distance of the sand and dust will also be farther, and the larger the regional scope of the interactive influence area. The present invention determines the regional scope of the interactive influence area through the wind parameters of several characteristic vectors, and then realizes the dynamic adjustment of the monitoring focus according to the specific conditions of the soil in the area combined with the actual environmental influencing factors, thereby improving the capture accuracy of the wetting phenomenon in the monitoring area and the reliability of environmental monitoring.

[0023] In particular, the present invention determines whether to issue an early warning prompt of an abnormal environment in the interactively affected area according to the water-soil ecological coupling value of the interactively affected area. It can be understood that loess has collapsible properties. When loess soil with larger pores is soaked by water under a certain pressure, its structure will be rapidly destroyed and significant additional sinking will occur. The larger the water-soil ecological coupling value of the interactively affected area, the larger the pore dynamic parameter, the higher the soil moisture content and the higher the annual precipitation, the higher the severity of the collapsibility in the area, and the more it is necessary to issue an abnormal early warning prompt for the water and soil environment in the area. The smaller the water-soil ecological coupling value of the interactively affected area, the smaller the pore dynamic parameter, the lower the soil moisture content and the lower the annual precipitation, the lower the severity of the collapsibility in the area, and there is no need to issue an abnormal early warning prompt for the water and soil environment in the area. The present invention determines whether to issue an early warning prompt of an abnormal environment in the interactively affected area according to the water-soil ecological coupling value of the interactively affected area, and further, realizes the dynamic adjustment of the monitoring focus according to the specific conditions of the soil in the area in combination with the actual environmental influencing factors, and improves the capture accuracy of the collapsibility phenomenon in the monitoring area and the reliability of environmental monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A step diagram of an environmental monitoring method based on multi-source data according to an embodiment of the present invention; Figure 2 A logic flow chart for screening pore-enriched regions according to an embodiment of the present invention; Figure 3 A logic flow chart for determining whether an interactive impact area exists in an embodiment of the present invention; Figure 4 The present invention is a functional block diagram of an environment monitoring system based on multi-source data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0026] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0027] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships 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. Therefore, it cannot be understood as a limitation on the present invention.

[0028] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, 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 a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of 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 circumstances.

[0029] See also Figure 1 As shown, it is a step diagram of an environmental monitoring method based on multi-source data according to an embodiment of the present invention. The environmental monitoring method based on multi-source data according to the present invention comprises: Step S100, dividing the area to be monitored into several environmental monitoring areas, and obtaining the historical information of the surface morphology corresponding to each environmental monitoring area; The surface morphology historical information includes terrain contour parameters corresponding to each historical temperature value within a preset temperature range in the environmental monitoring area; Specifically, the size of the divided environmental monitoring area can be set by technical personnel in this field according to the accuracy requirements of environmental monitoring. The higher the accuracy requirement, the smaller the divided environmental monitoring area. Preferably, the environmental monitoring area can be a square plot with a side length of 20m, and the number of environmental monitoring areas can be 20.

[0030] Specifically, the preset temperature range can be set by technicians in this field based on the actual historical temperature values ​​of the currently monitored area. Preferably, the temperature range can be [-5, 5], and the interval unit is ℃.

[0031] Specifically, the present invention obtains historical information on surface morphology including terrain contour parameters corresponding to each historical temperature value in the environmental monitoring area within a preset time period. It can be understood that due to the loose soil and large pores, freeze-thaw phenomena are very likely to occur when the temperature changes, and the freeze-thaw process will directly cause the height of the terrain to change. When the temperature drops and the water freezes into ice, the volume expands, exerting pressure on the surrounding materials, causing the surface to bulge. When the temperature rises and the frozen water melts, the part originally supported by the ice will lose support, causing the surface to sink and the terrain height to decrease. By obtaining terrain contour parameters at different temperatures over a period of time, the looseness of the soil in each environmental monitoring area can be more intuitively characterized, thereby achieving an intuitive reflection of the specific conditions of the soil in the area, improving the accuracy of capturing the wetting phenomenon in the monitoring area, and the reliability of environmental monitoring.

[0032] Step S200, determining the pore dynamic parameters of the environmental monitoring area based on the historical information of the surface morphology corresponding to the environmental monitoring area, and screening the pore-enriched area according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring area; Step S300, determining a wind direction characterization vector of the pore-enriched area based on the wind direction and wind volume of the pore-enriched area, constructing a feature vector set according to the directional similarity of several wind direction characterization vectors, and determining whether there is an interactive influence area; Specifically, the present invention does not limit the method for obtaining wind direction and wind volume. Preferably, it can be obtained by a small meteorological sensor carried by an unmanned aerial vehicle. The wind vane is rotated by sensing the torque applied by the airflow to the wind vane, and the angle sensor is used to measure the rotation angle of the wind vane to determine the wind direction. The wind speed is obtained by utilizing the characteristic that the propagation speed of ultrasonic waves in the air is affected by the wind speed. It will not be repeated here.

[0033] Step S400, in response to the determination result that there is an interactive influence area, extracting the wind parameters of each feature vector in the feature vector set, and determining the area range of the interactive influence area according to the wind parameters of several feature vectors; Step S500, obtaining the water-soil ecological coupling value of the interactively affected area, and determining whether to issue an early warning prompt of environmental abnormality in the interactively affected area according to the water-soil ecological coupling value.

[0034] Specifically, the terrain profile parameter is a terrain height value in a direction perpendicular to the horizontal ground.

[0035] Specifically, the present invention does not limit the method for obtaining terrain contour parameters. Preferably, it can be obtained by a laser radar mounted on an unmanned aerial vehicle. The laser radar calculates the distance between the sensor and the ground target point by emitting laser pulses to the ground and measuring the time from the laser being emitted to returning to the sensor, thereby obtaining the terrain contour parameters. It will not be repeated here.

[0036] Specifically, the process of determining the pore dynamic parameters includes: Calculate the absolute value of the difference between the terrain contour parameter corresponding to the first historical temperature value within the preset temperature range and the terrain contour parameter corresponding to the second historical temperature value within the preset temperature range in each environmental monitoring area, and determine the absolute value of the difference as the pore dynamic parameter; The first historical temperature value is the lower limit of a preset temperature range, and the second historical temperature value is the upper limit of the preset temperature range.

[0037] Specifically, the present invention determines the pore dynamic parameters according to the absolute value of the difference between the terrain contour parameters corresponding to the first historical temperature value within the preset temperature range of each environmental monitoring area and the terrain contour parameters corresponding to the second historical temperature value within the temperature range. It can be understood that within the same temperature range, the change in the terrain contour parameters of each environmental monitoring area can characterize the soil pore value of each environmental monitoring area. The larger the absolute value of the difference in the terrain contour parameters, the more likely it is that freeze-thaw has occurred in the current environmental monitoring area when the temperature value changes due to larger pores in the soil and loose soil. The smaller the absolute value of the difference in the terrain contour parameters, the more likely it is that freeze-thaw has occurred in the current environmental monitoring area when the temperature value changes due to smaller pores in the soil and compact soil. Furthermore, the specific conditions of the soil in the area are quantified, the accuracy of capturing the wetting phenomenon in the monitoring area and the reliability of environmental monitoring are improved.

[0038] Specifically, see Figure 2 As shown, it is a logic flow chart of screening pore-enriched regions according to an embodiment of the present invention. The process of screening pore-enriched regions includes: If the pore dynamic parameters of the environmental monitoring area meet the pore explicit judgment conditions, the environmental monitoring area is screened as a pore-enriched area; If the pore dynamic parameters of the environmental monitoring area do not meet the pore explicit judgment conditions, the environmental monitoring area will not be screened; The pore explicitness 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.

[0039] Specifically, determining the wind direction characterization vector of the pore-enriched area includes: Obtain the wind direction and wind volume corresponding to several moments in the pore-enriched area within a preset monitoring time; The wind direction corresponding to each moment is used as the vector direction of the wind direction representation sub-vector, and the wind volume corresponding to each moment is used as the vector magnitude of the wind direction representation sub-vector; The vector average of several wind direction characterization sub-vectors in the pore-enriched region is calculated, and the vector average is determined as the wind direction characterization vector of the pore-enriched region.

[0040] Specifically, the preset monitoring time can be set by technical personnel in this field according to the accuracy requirements of environmental monitoring. The higher the accuracy requirements, the longer the preset monitoring time. Preferably, the monitoring time can be 1 minute.

[0041] Here is a specific method for calculating the vector average value. 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 is .

[0042] Specifically, the present invention obtains the wind direction characterization vector of the pore-enriched area. It can be understood that the loess accumulation in the loess area is deep, reaching tens to hundreds of meters. Since the particle size of the loess is relatively small, the loess accumulated in the loess area is mainly transported and accumulated by wind. The loess pores in the pore-enriched area are larger and more easily affected by wind, causing the loess in the current area to migrate. The present invention obtains the wind direction characterization vector of the pore-enriched area, thereby improving the accuracy of capturing the wetting phenomenon in the monitored area and the reliability of environmental monitoring.

[0043] Specifically, the process of constructing a set of feature vectors includes: Calculate the directional similarity between each wind direction characterization vector and the other wind direction characterization vectors; An average value of the plurality of pointing similarities is determined as a pointing similarity reference value; Determine two wind direction characterization vectors corresponding to the directional similarity that does not exceed the directional similarity reference value as a feature vector group and merge the feature vector group into a feature vector set; The directional similarity is the vector similarity between wind direction representation vectors.

[0044] Specifically, the vector similarity can be obtained by cosine similarity calculation. By calculating the cosine similarity of the wind direction representation vector, the closeness of the vectors is quantified, which will not be repeated here.

[0045] Specifically, see Figure 3 As shown, it is a logic flow chart of determining whether there is an interactive influence area according to an embodiment of the present invention. Determining whether there is an interactive influence area includes: If the number of feature vectors in the feature vector set meets the feature interaction condition, it is determined that there is an interaction influence area; If the number of feature vectors in the feature vector set does not meet the feature interaction condition, it is determined that there is no interaction area; The feature interaction influence condition is that the proportion of the number of feature vectors in the feature vector set to the total number of wind direction characterization vectors exceeds a preset proportion threshold.

[0046] Specifically, the percentage threshold may be set by those skilled in the art based on an average value of several historical experimental data. Preferably, the percentage threshold may be 0.6.

[0047] Specifically, the present invention constructs a feature vector set according to the directional similarity of several wind direction characterization vectors and determines whether there is an interactive influence area. It can be understood that wind direction is a key factor affecting wind and sand activity and loess migration. In the loess region, the flow of wind is complex, and different pore-enriched areas have different wind direction characterization vector directions. Wind direction characterization vectors with high similarity represent that the loess migration direction of the pore-enriched area where the wind direction characterization vector is located is consistent, and the loess migration amount is superimposed. In the area in this direction, wind and sand activity will be more intense, and soil wind erosion, sand and dust transport and other processes will be more serious. Constructing wind direction characterization vectors with high similarity as a feature vector set is helpful to intuitively reflect the spatial wind field characteristics and intuitively see the concentration trend of wind direction in different plots. The present invention constructs a feature vector set according to the directional similarity of several wind direction characterization vectors and determines whether there is an interactive influence area. Furthermore, it realizes the dynamic adjustment of monitoring focus according to the specific conditions of the soil in the region combined with the actual environmental influencing factors, thereby improving the capture accuracy of the wetting phenomenon in the monitoring area and the reliability of environmental monitoring.

[0048] Specifically, determining the area range of the interactive impact area includes: The average wind parameter value of each eigenvector is calculated, and the size of the interactive impact area is positively correlated with the average wind parameter value.

[0049] Specifically, the present invention determines the regional scope of the interactive influence area based on the wind parameters of several characteristic vectors. It can be understood that the wind parameters are the key factors that determine the intensity of wind and sand activity. When the wind parameters are small, only a small amount of fine sand and dust particles can be driven to move, and the regional scope of the interactive influence area is smaller. As the wind parameters increase, the particle size of the sand and dust particles that can be blown up will increase, and the transportation distance of the sand and dust will also be farther, and the larger the regional scope of the interactive influence area. The present invention determines the regional scope of the interactive influence area through the wind parameters of several characteristic vectors, and then realizes the dynamic adjustment of the monitoring focus according to the specific conditions of the soil in the area combined with the actual environmental influencing factors, thereby improving the capture accuracy of the wetting phenomenon in the monitoring area and the reliability of environmental monitoring.

[0050] Specifically, the process of determining whether to issue an early warning of an environmental anomaly in the interactive impact area includes: If the water-soil ecological coupling value does not meet the normal conditions of environmental monitoring, it is determined to issue an early warning of environmental abnormality in the interactive impact area; If the water-soil ecological coupling value meets the normal conditions of environmental monitoring, no early warning will be issued; Among them, the normal condition of environmental monitoring is that the water-soil ecological coupling value does not exceed the preset water-soil ecological coupling reference value, and the water-soil ecological coupling value is the product of the pore dynamic parameters, soil moisture content and annual precipitation in the interactive impact area.

[0051] Specifically, the preset soil-water ecological coupling reference value can be set by those skilled in the art based on the average value of historical data in the same monitoring area. Preferably, the soil-water ecological coupling reference value can be 50 cm 2 .

[0052] Specifically, the present invention does not limit the specific method of obtaining soil moisture content. Preferably, it can be obtained by using a multispectral sensor equipped with an unmanned aerial vehicle to obtain multispectral image data of the monitoring area, extract relevant parameters from the image, and establish a soil moisture inversion model to obtain the soil moisture content of the area. It will not be repeated here.

[0053] Specifically, the present invention does not limit the specific method of obtaining annual precipitation. Preferably, it can be obtained by using a meteorological sensor mounted on an unmanned aerial vehicle. The meteorological sensor measures parameters such as the size, quantity, distribution and air humidity of precipitation particles, and then obtains the precipitation over a period of time. It will not be repeated here.

[0054] Specifically, the present invention determines whether to issue an early warning prompt of an abnormal environment in the interactively affected area according to the water-soil ecological coupling value of the interactively affected area. It can be understood that loess has collapsible properties. When loess soil with larger pores is soaked by water under a certain pressure, its structure will be rapidly destroyed and significant additional sinking will occur. The larger the water-soil ecological coupling value of the interactively affected area, the larger the pore dynamic parameter, the higher the soil moisture content and the higher the annual precipitation, the higher the severity of the collapsibility in the area, and the more it is necessary to issue an abnormal early warning prompt for the water and soil environment in the area. The smaller the water-soil ecological coupling value of the interactively affected area, the smaller the pore dynamic parameter, the lower the soil moisture content and the lower the annual precipitation, the lower the severity of the collapsibility in the area, and there is no need to issue an abnormal early warning prompt for the water and soil environment in the area. The present invention determines whether to issue an early warning prompt of an abnormal environment in the interactively affected area according to the water-soil ecological coupling value of the interactively affected area, and further, realizes the dynamic adjustment of the monitoring focus according to the specific conditions of the soil in the area in combination with the actual environmental influencing factors, and improves the capture accuracy of the collapsibility phenomenon in the monitoring area and the reliability of environmental monitoring.

[0055] Specifically, see Figure 4 As shown, it is a functional block diagram of an environmental monitoring system based on multi-source data according to an embodiment of the present invention. The present invention also provides an environmental monitoring system based on multi-source data, including: Historical database, used to store historical information on the surface morphology of each environmental monitoring area; A region screening module, which is connected to the historical database, and is used to obtain the historical information of the surface morphology of the environmental monitoring area, and to screen the pore-enriched area according to the historical information of the surface morphology; A data acquisition module, which is connected to the region screening module, and is used to obtain the wind direction and wind volume corresponding to several moments in the pore-enriched region, and determine the wind direction characterization vector of the pore-enriched region; The data identification module is connected to the area screening module and the data acquisition module respectively, and is used to determine whether there is an interactive impact area and determine the area range of the interactive impact area.

[0056] The environmental determination module is connected to the area screening module and the data identification module respectively, and is used to calculate the water-soil ecological coupling value of the interactive impact area, and to determine whether to issue an early warning prompt of environmental anomalies in the interactive impact area.

[0057] 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 of the surface morphology of each environmental monitoring area, which will not be repeated here.

[0058] Specifically, the present invention does not limit the specific structure of the area screening module. Preferably, it can be a microprocessor that screens pore-enriched areas based on historical information of surface morphology, which will not be described in detail here.

[0059] 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 in the pore-enriched area, and determine the wind direction characterization vector of the pore-enriched area, which will not be repeated here.

[0060] 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 interactive impact area and determine the area range of the interactive impact area, which will not be repeated here.

[0061] Specifically, the present invention does not limit the specific structure of the environmental judgment module. Preferably, it can be a field programmable logic component to calculate the water and soil ecological coupling value of the interactive impact area, and determine whether to issue an early warning prompt of environmental abnormalities in the interactive impact area. It will not be repeated here.

[0062] So far, the technical solutions of the present invention have 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.

[0063] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An environmental monitoring method based on multi-source data, characterized in that: include: Divide the area to be monitored into several environmental monitoring areas, and obtain the historical information of the surface morphology corresponding to each environmental monitoring area; The surface morphology historical information includes terrain contour parameters corresponding to each historical temperature value within a preset temperature range in the environmental monitoring area; Determine the pore dynamic parameters of the environmental monitoring area based on the historical information of the surface morphology corresponding to the environmental monitoring area, and screen the pore-enriched area according to the comparison of the pore dynamic parameters corresponding to each environmental monitoring area; Determine a wind direction characterization vector of the pore-enriched area based on the wind direction and wind volume of the pore-enriched area, construct a feature vector set according to the directional similarity of several wind direction characterization vectors, and determine whether there is an interactive influence area; In response to a determination result that an interactive influence region exists, extracting a wind parameter of each feature vector in the feature vector set, and determining a region range of the interactive influence region according to the wind parameters of a plurality of feature vectors; The water-soil ecological coupling value of the interactively affected area is obtained, and according to the water-soil ecological coupling value, it is determined whether to issue an early warning prompt of environmental abnormality in the interactively affected area.

2. The environmental monitoring method based on multi-source data according to claim 1, characterized in that: The terrain profile parameter is a terrain height value in a 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, Calculate the absolute value of the difference between the terrain contour parameter corresponding to the first historical temperature value within the preset temperature range and the terrain contour parameter corresponding to the second historical temperature value within the preset temperature range in each environmental monitoring area, and determine the absolute value of the difference as the pore dynamic parameter; The first historical temperature value is the lower limit of a preset temperature range, and the second historical temperature value is the upper limit of the preset temperature range.

4. The method for environmental monitoring based on multi-source data according to claim 3, characterized in that: The process of screening pore-enriched regions includes: If the pore dynamic parameters of the environmental monitoring area meet the pore explicit judgment conditions, the environmental monitoring area is screened as a pore-enriched area; The pore explicitness 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.

5. The method for environmental monitoring based on multi-source data according to claim 4, characterized in that: Determining the wind direction characterization vector of the pore-enriched area includes: Obtain the wind direction and wind volume corresponding to several moments in the pore-enriched area within a preset monitoring time; The wind direction corresponding to each moment is used as the vector direction of the wind direction characterization sub-vector, and the wind volume corresponding to each moment is used as the vector magnitude of the wind direction characterization sub-vector; The vector average of several wind direction characterization sub-vectors in the pore-enriched region is calculated, and the vector average is determined as the wind direction characterization vector of the pore-enriched region.

6. The method for environmental monitoring based on multi-source data according to claim 5, characterized in that: The process of constructing a set of feature vectors includes: Calculate the directional similarity between each wind direction characterization vector and the other wind direction characterization vectors; An average value of the plurality of pointing similarities is determined as a pointing similarity reference value; Determine two wind direction characterization vectors corresponding to the directional similarity that does not exceed the directional similarity reference value as a feature vector group and merge the feature vector group into a feature vector set; The directional similarity is the vector similarity between wind direction representation vectors.

7. The method for environmental monitoring based on multi-source data according to claim 6, characterized in that: Determining whether there is an interactive impact area includes: If the number of feature vectors in the feature vector set meets the feature interaction condition, it is determined that there is an interaction influence area; The feature interaction influence condition is that the proportion of the number of feature vectors in the feature vector set to the total number of wind direction characterization vectors exceeds a preset proportion threshold.

8. The method for environmental monitoring based on multi-source data according to claim 7, characterized in that: Determining the area range of the interactive impact area includes: The average wind parameter value of each eigenvector is calculated, and the size of the interactive impact area is positively correlated with the average wind parameter value.

9. The method for environmental monitoring based on multi-source data according to claim 8, characterized in that: The process of determining whether to issue an early warning of an environmental anomaly in the interactive impact area includes: If the water-soil ecological coupling value does not meet the normal conditions of environmental monitoring, it is determined to issue an early warning of environmental abnormality in the interactive impact area; Among them, the normal condition of environmental monitoring is that the water-soil ecological coupling value does not exceed the preset water-soil ecological coupling reference value, and the water-soil ecological coupling value is the product of the pore dynamic parameters, soil moisture content and annual precipitation in the interactive impact area.

10. An environmental monitoring system based on multi-source data, used to execute the environmental monitoring method based on multi-source data according to any one of claims 1 to 9, characterized in that: include: Historical database, used to store historical information on the surface morphology of each environmental monitoring area; A region screening module, which is connected to the historical database, and is used to obtain the historical information of the surface morphology of the environmental monitoring area, and to screen the pore-enriched area according to the historical information of the surface morphology; A data acquisition module, which is connected to the region screening module, and is used to obtain the wind direction and wind volume corresponding to several moments in the pore-enriched region, and determine the wind direction characterization vector of the pore-enriched region; A data identification module, which is connected to the area screening module and the data acquisition module respectively, and is used to determine whether there is an interactive impact area and determine the area range of the interactive impact area; The environmental determination module is connected to the area screening module and the data identification module respectively, and is used to calculate the water-soil ecological coupling value of the interactive impact area, and to determine whether to issue an early warning prompt of environmental anomalies in the interactive impact area.

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