A method and system for dynamic monitoring of agricultural soil and water loss

Abstract

The present application relates to the field of dynamic monitoring technology, and in particular to a method and system for dynamic monitoring of agricultural soil and water loss. The method includes: obtaining real-time monitoring information of the farming area, analyzing the real-time monitoring information of the farming area, and determining the real-time monitoring element set of the farming area; determining the current environmental information of the farming area based on the real-time monitoring information of the farming area, and determining the historical element set of the farming area based on the current environmental information of the farming area; comparing the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data; if there is abnormal data, analyzing the real-time monitoring element set of the farming area to determine the level of soil and water loss; determining the treatment strategy based on the level of soil and water loss and the real-time monitoring element set of the farming area, and reminding relevant personnel to carry out early warning and prevention. The present application monitors the farming area in real time, extracts soil and water loss elements and compares them with historical data, comprehensively analyzes the element information, assesses the level of soil and water loss, formulates a treatment strategy, and improves the monitoring and prevention effect.

Description

Technical Field

[0001] The present application relates to the field of dynamic monitoring technology, and in particular to a method and system for dynamic monitoring of agricultural soil and water loss. Background Art

[0002] Soil erosion refers to the phenomenon that the surface soil is lost through erosion, transportation and deposition under the influence of natural factors (such as rainfall, weathering, water flow, etc.) and human activities (such as farming, mining, construction, etc.). At present, the dynamic monitoring of agricultural soil erosion is generally carried out through remote sensing monitoring technology, manual field investigation and sampling, etc.

[0003] However, the satellite remote sensing monitoring method is easily affected by environmental factors, and manual regular monitoring is difficult to achieve real-time dynamic monitoring, resulting in inaccurate soil and water loss monitoring and difficulty in early warning and prevention of soil and water loss. Summary of the invention

[0004] The present application provides a method and system for dynamic monitoring of agricultural soil and water loss to solve the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for dynamic monitoring of agricultural soil and water loss, the method comprising:

[0006] Acquire real-time monitoring information of the farming area, analyze the real-time monitoring information of the farming area, and determine a real-time monitoring element set of the farming area;

[0007] Determine the current environmental information of the farming area according to the real-time monitoring information of the farming area, and determine the historical element set of the farming area according to the current environmental information of the farming area;

[0008] Comparing the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data;

[0009] If the abnormal data exists, analyzing the real-time monitoring element set of the farming area to determine the soil and water loss level;

[0010] A treatment strategy is determined based on the soil erosion level and the real-time monitoring element set of the farming area, and relevant personnel are reminded to carry out early warning and prevention based on the treatment strategy.

[0011] The method provided in the present application obtains real-time monitoring information of farming areas, extracts a set of elements reflecting the degree of soil erosion and forms a real-time monitoring element set for farming areas, provides data support for whether there is soil erosion and soil erosion grade assessment in the future, makes soil erosion assessment more timely, determines current environmental information based on the real-time monitoring element set for farming areas, determines historical element sets based on the current environmental information, provides comparison for current real-time monitoring data, so as to judge whether there is soil erosion and erosion grade assessment, makes soil erosion assessment more accurate, compares the real-time monitoring element set for farming areas with the same historical elements, judges whether there is abnormal data, and if there is abnormal data, conducts a comprehensive analysis of the real-time monitoring element set for farming areas, assesses the soil erosion grade, determines the treatment strategy based on the soil erosion grade, reminds relevant personnel to carry out early warning and prevention, improves monitoring efficiency, enables relevant personnel to better carry out early warning and prevention, and also improves the effect of soil erosion prevention and control.

[0012] Optionally, the analyzing the real-time monitoring information of the farming area to determine the real-time monitoring element set of the farming area includes: analyzing the real-time monitoring information of the farming area to determine the rainfall, evaporation, regional image of the monitoring area, total area of ​​the monitoring area, initial sediment content and soil data; processing the soil data to determine the soil information; determining the runoff according to the rainfall, the evaporation and the soil information; dividing the monitoring area according to the regional image to obtain a number of monitoring units; acquiring the crop projection image of each monitoring unit, and determining the crop projection area of ​​each monitoring unit according to the crop projection area of ​​each monitoring unit and the total area of ​​the monitoring area; determining the total crop projection area according to the crop projection area of ​​each monitoring unit; determining the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area and the soil information; determining the sediment content according to the rainfall, the runoff, the initial sediment content, the soil information and the crop coverage rate; and constituting the real-time monitoring element set of the farming area according to the rainfall, the runoff, the sediment content, the crop coverage rate and the soil information.

[0013] The above technical solution accurately reflects the water balance of the farming area through real-time monitoring of rainfall and evaporation. It helps to understand soil fertility and structure by acquiring and analyzing information such as soil type, texture, and water content. Through the analysis of crop projection images, the crop coverage area can be accurately calculated, the crop coverage rate can be determined, and the crop growth status can be evaluated. Based on rainfall, evaporation, and soil information, the runoff is scientifically calculated. Combined with rainfall, runoff, initial sediment content, soil information, and crop coverage rate, the sediment generation and migration are comprehensively evaluated, providing an important reference for soil and water conservation. By real-time monitoring of key elements in the farming area, a data set that comprehensively reflects the real-time status of the farming area is constructed.

[0014] Optionally, determining the runoff amount according to the rainfall, the evaporation and the soil information includes:

[0015] Extracting the soil information and determining soil structure and soil moisture;

[0016] The runoff is determined according to the rainfall, the evaporation, the soil structure and the soil moisture, referring to the following formula:

[0017] ;

[0018] in, represents the runoff volume, represents the rainfall amount, represents the evaporation amount, represents the soil structure, represents the soil moisture, represents the coefficient of influence of the rainfall on the runoff, represents the coefficient of influence of the evaporation on the runoff, Indicates the influence of the soil structure on the runoff, Indicates the influence of the soil moisture on the runoff.

[0019] The above technical solution accurately understands the characteristics of soil in agricultural areas by extracting soil information, including soil structure and soil moisture. Combined with rainfall, evaporation, soil structure and moisture, the runoff is calculated through mathematical processing technology, which provides a reliable data basis for subsequent soil erosion analysis and prevention and control strategy formulation. By accurately calculating runoff and carefully assessing the risk of soil erosion in agricultural areas, it is helpful to promptly discover potential soil erosion problems.

[0020] Optionally, the soil information also includes soil texture, and the determining of the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area and the soil information includes: analyzing the regional image of the monitoring area to determine the crop type; determining the crop growth status according to the crop type; determining the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area, the crop growth status, the soil structure, the soil moisture and the soil texture, referring to the following formula:

[0021] ;

[0022] in, represents the crop coverage, represents the projected area of ​​the crop in the monitoring area, represents the total area of ​​the monitoring area, Indicates the soil texture, represents the soil structure, represents the soil moisture, Indicates the growth status of the crop, is a method for determining the crop growth status according to the crop growth status. , the soil structure , the soil moisture and the soil texture The adjustment factor for the calculation of .

[0023] The above technical solution can accurately identify the types of crops planted by analyzing the regional images of the monitored area, providing a basis for subsequent crop growth status evaluation and coverage calculation. According to the identified crop types, the growth status of crops is further analyzed, which helps to accurately understand the crop growth in the farming area. Then, the crop coverage rate is calculated by combining the crop projection area, the total area of ​​the monitored area, the crop growth status, soil structure, soil moisture, soil texture and other factors through the crop coverage rate calculation formula, which fully reflects the distribution and growth status of crops in the monitored area.

[0024] Optionally, determining the sediment content according to the rainfall, the runoff, the initial sediment content, the soil information and the crop coverage rate includes:

[0025] The sediment content is determined according to the rainfall, the runoff, the initial sediment content, the soil texture, the soil structure and the crop coverage, referring to the following formula;

[0026] ;

[0027] in, represents the sediment content, represents the rainfall amount, represents the runoff volume, represents the total area of ​​the monitoring area, represents the initial sediment content, Indicates the soil texture, represents the soil structure, represents the crop coverage, is a method for determining the soil texture , the soil structure and the crop coverage To adjust the sediment content The adjustment factor for the calculation of .

[0028] The above technical solution comprehensively considers the factors that affect the sediment content, such as rainfall, runoff, initial sediment content, soil texture, soil structure and crop coverage, so that the formula can provide a sediment content estimate that is closer to the actual situation. The introduction of the new AI technology can dynamically adjust the sediment content according to the specific conditions of soil texture, soil structure and crop coverage, which further improves the accuracy of the calculation and makes the calculation of sediment content more comprehensive and accurate.

[0029] Optionally, the current environmental information of the farming area is determined according to the real-time monitoring information of the farming area, and the historical element set of the farming area is determined according to the current environmental information of the farming area, including: analyzing the real-time monitoring information of the farming area to determine the current time, and determining the current quarter according to the current time; obtaining rainfall information and water level information, analyzing the rainfall information and the water level information to determine the total accumulated rainfall and the current water level; obtaining a flood season index, comparing the total accumulated rainfall with the flood season index, and judging whether the total accumulated rainfall reaches the flood season index; if the total accumulated rainfall does not reach the flood season index, comparing the current water level with the flood season index to judge whether the current water level reaches the flood season index; if the current water level reaches the flood season index, determining that it is currently in the flood season; and determining the historical element set of the farming area according to the current quarter and the flood season.

[0030] The above technical solution, by obtaining real-time rainfall and water level information in the areas where the farming areas are located, provides a basis for subsequent flood season judgment and construction of historical element sets. It comprehensively analyzes the two key indicators of total accumulated rainfall and current water level, and compares them with flood season indicators to accurately judge whether the farming areas have entered the flood season. Through the current quarter and combined with the flood season information, the historical element sets of the monitored farming areas under the same environment are matched, which helps to more comprehensively analyze whether soil erosion occurs in the monitored farming areas.

[0031] Optionally, the real-time monitoring element set of the farming area is compared with the historical element set to determine whether there is any abnormal data, including: extracting the real-time monitoring element set of the farming area to obtain the rainfall, the runoff, the sediment content and the crop coverage rate; comparing the rainfall with the rainfall data in the historical element set to determine whether there is any abnormality in the rainfall; if there is no abnormality in the rainfall, comparing the rainfall with the runoff data in the historical element set to determine whether there is any abnormality in the rainfall; if there is no abnormality in the rainfall, comparing the rainfall with the sediment content data in the historical element set to determine whether there is any abnormality in the rainfall; if there is no abnormality in the rainfall, comparing the crop coverage rate with the vegetation coverage rate in the historical element set to determine whether there is any abnormality in the crop coverage rate.

[0032] The above technical solution extracts the real-time monitoring element set of the farming area, determines the monitoring data of the farming area, including rainfall, runoff, sediment content and crop coverage, and compares the real-time monitoring data with the data in the historical element set to detect whether there are any anomalies in each element. This comparison method helps to discover potential problems in the farming area environment in a timely manner. A hierarchical progressive analysis is used to first determine the rainfall, then the runoff, then the sediment content, and finally the crop coverage. Gradually narrow the scope of the problem and improve the accuracy of anomaly detection.

[0033] Optionally, analyzing the real-time monitoring element set of the farming area to determine the soil erosion level includes: determining the soil erosion level according to the rainfall, the runoff, the sediment content and the crop coverage rate, referring to the following formula:

[0034] ;

[0035] in, Indicates the soil erosion level; represents said rainfall amount; represents said runoff amount; Indicates the sediment content; represents the crop coverage percentage; Indicates the rainfall The coefficient of influence on the soil erosion level; Indicates the runoff The coefficient of influence on the soil erosion level; Indicates the sediment content The coefficient of influence on the soil erosion level; Indicates the crop coverage The coefficient of influence on the soil erosion level; Represents the factor that adjusts the range of the entire expression output.

[0036] The above technical solution determines the soil erosion level by comprehensively considering multiple factors such as rainfall, runoff, sediment content and crop coverage. This comprehensive consideration method can more comprehensively reflect the actual situation of soil erosion. By introducing the influence coefficient and adjustment coefficient, the solution can quantify the impact of various factors on soil erosion, thereby deriving a specific soil erosion level. This helps to more accurately assess the severity of soil erosion.

[0037] Optionally, determining a treatment strategy based on the soil erosion grade and the real-time monitoring element set of the farming area includes: determining a basic treatment strategy based on the soil erosion grade; analyzing the real-time monitoring element set of the farming area to determine the location and area of ​​soil erosion; determining the cause of soil erosion based on the location and area of ​​soil erosion; and determining a treatment strategy based on the basic treatment strategy and the cause of soil erosion.

[0038] The above technical scheme, on the basis of determining the level of soil erosion, first determines the basic treatment strategies, which are universal and can provide strong support for subsequent targeted treatments. Then, through the analysis of the real-time monitoring element set of the farming area, the location and area of ​​soil erosion in the farming area can be accurately determined, which is helpful to carry out targeted soil erosion control work. Then, on the basis of determining the location and area of ​​soil erosion, the specific causes of soil erosion are further analyzed. This in-depth analysis helps to solve the problem at the source and formulate more effective treatment strategies. Finally, combined with the basic treatment strategies and the specific causes of soil erosion, targeted treatment strategies are formulated. These strategies are closer to reality and can more effectively solve the problem of soil erosion.

[0039] In a second aspect, the present application provides a dynamic monitoring system for agricultural soil and water loss, the system comprising: an information monitoring module, used to obtain real-time monitoring information of a farming area, analyze the real-time monitoring information of the farming area, and determine a real-time monitoring element set of the farming area; a historical element determination module, used to determine the current environmental information of the farming area based on the real-time monitoring information of the farming area, and determine the historical element set of the farming area based on the current environmental information of the farming area; an abnormal data analysis module, used to compare the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data; a level calculation module, used to analyze the real-time monitoring element set of the farming area if the abnormal data exists, and determine the level of soil and water loss; an early warning processing module, used to determine a processing strategy based on the soil and water loss level and the real-time monitoring element set of the farming area, and remind relevant personnel of early warning prevention and control based on the processing strategy.

[0040] Optionally, the information monitoring module is specifically used to: analyze the real-time monitoring information of the farming area to determine the rainfall, evaporation, regional image of the monitoring area, total area of ​​the monitoring area, initial sediment content and soil data; process the soil data to determine the soil information; determine the runoff according to the rainfall, evaporation and soil information; divide the monitoring area according to the regional image to obtain a number of monitoring units; obtain the crop projection image of each monitoring unit, and determine the crop projection area of ​​each monitoring unit according to the crop projection area of ​​each monitoring unit and the total area of ​​the monitoring area; determine the total crop projection area according to the crop projection area of ​​each monitoring unit; determine the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area and the soil information; determine the sediment content according to the rainfall, the runoff, the initial sediment content, the soil information and the crop coverage rate; and constitute the real-time monitoring element set of the farming area according to the rainfall, the runoff, the sediment content, the crop coverage rate and the soil information.

[0041] Optionally, the information monitoring module is specifically used to: extract the soil information, determine the soil structure and soil moisture; determine the runoff according to the rainfall, the evaporation, the soil structure and the soil moisture, referring to the following formula:

[0042] ;

[0043] in, represents the runoff volume, represents the rainfall amount, represents the evaporation amount, represents the soil structure, represents the soil moisture, represents the coefficient of influence of the rainfall on the runoff, represents the coefficient of influence of the evaporation on the runoff, Indicates the influence of the soil structure on the runoff, Indicates the influence of the soil moisture on the runoff.

[0044] Optionally, the information monitoring module is specifically used to: analyze the regional image of the monitoring area to determine the crop type; determine the crop growth status according to the crop type; determine the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area, the crop growth status, the soil structure, the soil moisture and the soil texture, referring to the following formula:

[0045] ;

[0046] in, represents the crop coverage, represents the projected area of ​​the crop in the monitoring area, represents the total area of ​​the monitoring area, Indicates the soil texture, represents the soil structure, represents the soil moisture, Indicates the growth status of the crop, is a method for determining the crop growth status according to the crop growth status. , the soil structure , the soil moisture and the soil texture The adjustment factor for the calculation of .

[0047] Optionally, the information monitoring module is specifically used to:

[0048] The sediment content is determined according to the rainfall, the runoff, the initial sediment content, the soil texture, the soil structure and the crop coverage, referring to the following formula;

[0049] ;

[0050] in, represents the sediment content, represents the rainfall amount, represents the runoff volume, represents the total area of ​​the monitoring area, represents the initial sediment content, Indicates the soil texture, represents the soil structure, represents the crop coverage, is a method for determining the soil texture , the soil structure and the crop coverage To adjust the sediment content The adjustment factor for the calculation of .

[0051] Optionally, the historical element determination module is specifically used to: analyze the real-time monitoring information of the farming area to determine the current time, and determine the current quarter based on the current time; obtain rainfall information and water level information, analyze the rainfall information and the water level information, and determine the total accumulated rainfall and the current water level; obtain a flood season index, compare the total accumulated rainfall with the flood season index, and determine whether the total accumulated rainfall reaches the flood season index; if the total accumulated rainfall does not reach the flood season index, compare the current water level with the flood season index to determine whether the current water level reaches the flood season index; if the current water level reaches the flood season index, determine that it is currently in the flood season; and determine the historical element set of the farming area based on the current quarter and the flood season.

[0052] Optionally, the abnormal data analysis module is specifically used to: extract the real-time monitoring element set of the farming area to obtain the rainfall, the runoff, the sediment content and the crop coverage rate; compare the rainfall with the rainfall data in the historical element set to determine whether the rainfall is abnormal; if the rainfall is not abnormal, compare the runoff with the runoff data in the historical element set to determine whether the runoff is abnormal; if the runoff is not abnormal, compare the sediment content with the sediment content data in the historical element set to determine whether the sediment content is abnormal; if the sediment content is not abnormal, compare the crop coverage rate with the vegetation coverage rate in the historical element set to determine whether the crop coverage rate is abnormal.

[0053] Optionally, the level calculation module is specifically used to:

[0054] ;

[0055] in, Indicates the soil erosion level; represents said rainfall amount; represents said runoff amount; Indicates the sediment content; represents the crop coverage percentage; Indicates the rainfall The coefficient of influence on the soil erosion level; Indicates the runoff The coefficient of influence on the soil erosion level; Indicates the sediment content The coefficient of influence on the soil erosion level; Indicates the crop coverage The coefficient of influence on the soil erosion level; Represents the factor that adjusts the range of the entire expression output.

[0056] Optionally, the early warning processing module is specifically used to: determine a basic treatment strategy based on the soil erosion level; analyze the real-time monitoring element set of the farming area to determine the location and area of ​​soil erosion; determine the cause of soil erosion based on the location and area of ​​soil erosion; determine the treatment strategy based on the basic treatment strategy and the cause of soil erosion. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0058] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0059] Figure 2 A flowchart of a method for dynamic monitoring of agricultural soil and water loss provided in one embodiment of the present application;

[0060] Figure 3 A schematic structural diagram of an agricultural soil and water loss dynamic monitoring system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0062] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0063] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0064] Soil erosion refers to the phenomenon that the surface soil is lost through erosion, transportation and deposition under the influence of natural factors (such as rainfall, weathering, water flow, etc.) and human activities (such as farming, mining, construction, etc.). At present, the dynamic monitoring of agricultural soil erosion is generally carried out through remote sensing monitoring technology, manual field investigation and sampling, etc. However, the satellite remote sensing monitoring method is easily affected by environmental factors, and manual regular monitoring is difficult to achieve real-time dynamic monitoring, resulting in inaccurate soil erosion monitoring and difficulty in early warning and prevention of soil erosion.

[0065] Based on this, the present application provides a method and system for monitoring agricultural soil and water loss. Real-time monitoring information of the farming area is obtained, and key elements reflecting the degree of soil and water loss are extracted to form a real-time monitoring element set for the farming area. Timely data support is provided for the subsequent assessment of the existence and grade of soil and water loss, which significantly enhances the timeliness of the assessment. According to the real-time monitoring element set, the current environmental information is determined, and the historical element set is determined based on this, providing a comparison benchmark for the current monitoring data. By comparing historical and real-time data, it is accurately determined whether there is soil and water loss and its grade, thereby ensuring the accuracy of the assessment. According to this grade, a corresponding treatment strategy is formulated, and relevant personnel are reminded in time to carry out early warning and prevention, thereby greatly improving the monitoring efficiency and the prevention and control effect of soil and water loss. This process not only enables relevant personnel to better carry out early warning and prevention work, but also further improves the overall management level of soil and water loss.

[0066] Figure 1 This is a schematic diagram of an application scenario provided by the present application. When conducting agricultural production, the method provided by the present application can be applied to dynamically monitor soil and water loss and conduct early warning processing.

[0067] Specifically, the method provided in the present application is applied to any server, and the server interacts with the monitoring device and the monitoring station, obtains real-time monitoring information of the farming area through the monitoring device, extracts key elements reflecting the degree of soil erosion, and forms a real-time monitoring element set for the farming area. According to the real-time monitoring element set and the monitoring data of the monitoring station in the area where the farming area is located, the current environmental information is determined, and the historical element set is determined accordingly. By comparing the historical and real-time data, it is accurately determined whether there is soil erosion and its level. According to this level, a corresponding processing strategy is formulated, so that relevant personnel can better carry out early warning and prevention work, and further improve the overall management level of soil erosion. The specific implementation method can refer to the following embodiments.

[0068] Figure 2 This is a flow chart of a method for dynamic monitoring of agricultural soil and water loss provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0069] S201. Acquire real-time monitoring information of the farming area, analyze the real-time monitoring information of the farming area, and determine a real-time monitoring element set of the farming area.

[0070] Monitoring devices may include cameras, rain gauges, flow sensors, infrared sediment monitors, soil temperature and humidity monitors, laser particle size analyzers, and CT scanning technology. Monitoring stations may include meteorological monitoring stations and hydrological monitoring stations. Real-time monitoring information of farming areas may be various real-time monitoring information of farming areas, such as rainfall, evaporation, regional images of the monitoring area, total area of ​​the monitoring area, initial sediment content, and soil data. Real-time monitoring element sets of farming areas may be a set of various monitoring elements of farming areas, such as rainfall, runoff, sediment content, crop coverage, soil information, etc.

[0071] Specifically, monitoring information of the farming area is obtained through monitoring devices in the farming area, and monitoring information such as real-time rainfall, evaporation, regional image of the monitoring area, total area of ​​the monitoring area, initial sediment content and soil data in the farming area is determined through natural language processing.

[0072] Based on soil data, soil information is determined through natural language processing. Based on rainfall, evaporation and soil information, the runoff in the farming area is determined through mathematical processing technology. Based on the regional image of the monitoring area, the total area of ​​the monitoring area, soil structure, and soil information, the crop coverage is determined through mathematical processing technology. Based on rainfall, runoff, initial sediment content, soil information and crop coverage, the sediment content is determined through mathematical processing technology. Rainfall, runoff, sediment content, crop coverage, and soil information constitute a real-time monitoring element set for farming areas.

[0073] S202. Determine current environmental information of the farming area based on real-time monitoring information of the farming area, and determine a historical element set of the farming area based on the current environmental information of the farming area.

[0074] The current environment information of the farming area may be information about the current environment of the farming area, such as the current temperature, the current humidity, and the like.

[0075] The historical element set of the farming area may be a set consisting of historical monitoring elements such as rainfall, evaporation, regional images of the monitoring area, total area of ​​the monitoring area, initial sediment content, soil data, etc. of the farming area.

[0076] Specifically, the real-time monitoring information of the farming area is analyzed, and the time when the real-time monitoring information of the farming area is recorded and the geographical location of the farming area are determined by natural language processing. According to the time when the real-time monitoring information is recorded, the current season of the farming area is determined. According to the geographical location of the farming area, the monitoring information of the monitoring station in the area where the farming area is located is obtained, and the monitoring data of the area where the farming area is located is determined. According to the monitoring data, the current environmental information of the farming area is determined. According to the current environmental information of the farming area, the historical elements under the same environment of the farming area are determined by natural language processing, and a set of historical elements of the farming area is formed.

[0077] S203, comparing the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data.

[0078] Abnormal data may be data in which the difference between the data in the real-time monitoring element set and the data in the historical element set exceeds a preset threshold.

[0079] Specifically, a number of preset thresholds are set according to the data in the historical element set, and the preset threshold can be the maximum difference value between the data in the real-time monitoring element set and the data in the historical element set. The data in the real-time monitoring element set is matched with the data in the historical element set according to the timestamp and the monitoring device, and then the difference value is calculated for each set of matched real-time monitoring element set data and historical element set data to determine whether there is a set of data whose difference value exceeds the preset threshold. If the difference value of a set of data exceeds the preset threshold, the corresponding data point in the set of real-time data is marked as abnormal data.

[0080] S204. If there is abnormal data, analyze the real-time monitoring element set of the farming area to determine the level of soil erosion.

[0081] The soil erosion grade may be the soil erosion grade of soil erosion occurring in the farming area, for example, mild soil erosion, moderate soil erosion, severe soil erosion, etc.

[0082] Specifically, when there are abnormal data, the rainfall, runoff, sediment content and crop coverage obtained in the above manner are input into a mathematical formula, and the level of soil and water loss in the farming area is calculated through mathematical processing technology.

[0083] S205. Determine the treatment strategy based on the soil erosion level and the real-time monitoring element set of the farming area, and remind relevant personnel to carry out early warning and prevention based on the treatment strategy.

[0084] Treatment strategies can be preventive measures to address soil erosion in agricultural areas, such as vegetation protection, rational farming, engineering measures, etc.

[0085] Specifically, according to the real-time monitoring element set of the farming area, the regional image of the monitoring area is determined, and the regional image of the monitoring area is analyzed by image processing technology to determine the result of the image analysis. According to the result of the image analysis, the area where soil erosion occurs is determined, and according to the soil erosion level, the corresponding treatment strategy is determined. For example, when the soil erosion level is mild, it can be treated by strategies such as contour rotation and rotation fallow. When the soil erosion level is moderate, it can be treated by strategies such as building ditch head protection, building sand dams, and adjusting planting strategies. When the soil erosion level is severe, it can be treated by a combination of engineering, biological, and agricultural measures.

[0086] Through the above agricultural dynamic monitoring method, by obtaining real-time monitoring information of the farming area and analyzing it, the current environmental conditions of the farming area can be grasped in real time. Then the real-time monitoring element set is compared with the historical element set to identify abnormal data, which helps to timely discover changes or potential problems in the farming area environment. When there is abnormal data, the real-time monitoring element set is further analyzed to determine the intensity level of soil and water loss. This helps to understand the severity of soil and water loss more accurately and provide a basis for subsequent treatment strategies. According to the intensity level of soil and water loss and the real-time monitoring element set, a targeted treatment strategy is formulated. It helps to improve the prevention and control effect and reduce unnecessary waste of resources. Finally, the relevant personnel are reminded to carry out early warning and prevention work according to the treatment strategy. It helps to take timely measures to prevent further deterioration of soil and water loss and protect the ecological environment of the farming area.

[0087] In some embodiments, real-time monitoring information of the farming area is analyzed to determine rainfall, evaporation, regional image of the monitoring area, total area of ​​the monitoring area, initial sediment content and soil data; soil data is processed to determine soil information; runoff is determined based on rainfall, evaporation and soil information; the monitoring area is divided according to the regional image to obtain a number of monitoring units; the crop projection image of each monitoring unit is obtained, and the crop projection area of ​​each monitoring unit is determined based on the crop projection area of ​​each monitoring unit and the total area of ​​the monitoring area; the total crop projection area is determined based on the crop projection area of ​​each monitoring unit; the crop coverage rate is determined based on the total crop projection area, the total area of ​​the monitoring area and soil information; the sediment content is determined based on rainfall, runoff, initial sediment content, soil information and crop coverage rate; and a real-time monitoring element set for the farming area is constructed based on rainfall, runoff, sediment content, crop coverage rate and soil information.

[0088] The rainfall may be the depth of the water layer accumulated on the water surface of the monitored farming area from rainwater falling from the sky to the ground without evaporation, infiltration, or loss. The evaporation amount may be the amount of water dispersed into the air by evaporation within a certain period of time. The regional image of the monitoring area may be the monitoring screen of the monitored farming area. The total area of ​​the monitoring area may be the area of ​​the monitored farming area. The initial sediment content may be the sediment content without evaporation and cooling treatment. The soil data may be the soil-related data of the monitored farming area. The soil information may be the information such as soil texture, soil moisture, and soil structure obtained after processing the soil data. The runoff may be the amount of water flowing on the ground of the monitored farming area within a certain period of time. The sediment content may be the sediment mass in the unit volume of the water-sand mixture of the monitored farming area. The monitoring unit may be a monitoring area divided into a plurality of monitoring areas of the same area. The crop projection image may be the image of the crops in the monitored farming area projected on the ground. The crop projection area may be the image area of ​​the monitored farming area projected on the ground. The crop coverage rate can be the ratio of the vertical projection area of ​​the crops in the monitored farming area to the area of ​​the monitored area.

[0089] Specifically, the runoff of the monitoring area is obtained by calculating through mathematical formulas according to the rainfall, evaporation and soil information of the monitoring area. The monitoring area is divided according to the regional image of the monitoring area. For example, the image of the monitoring area is divided into several areas or objects with similar characteristics using image segmentation technology. Several monitoring units are determined. The crop projection image of each monitoring unit is determined by image processing technology. According to the crop projection image of each monitoring unit, the crop projection area of ​​each monitoring unit is calculated by third-party image analysis software, and then the crop projection area of ​​each monitoring unit is added to obtain the total crop projection area. The total crop projection area, the total area of ​​the monitoring area and the soil information are then substituted into the mathematical formula, and the crop coverage rate is obtained by calculation through the mathematical formula.

[0090] Substitute rainfall, runoff, initial sediment content, soil information and crop coverage into mathematical formulas to obtain the sediment content in the monitoring area. Finally, rainfall, runoff, sediment content, crop coverage and soil information constitute a real-time monitoring element set for the farming area.

[0091] The method provided in this embodiment accurately reflects the water balance of the farming area through real-time monitoring of rainfall and evaporation. The acquisition and analysis of information such as soil type, texture, and water content helps to understand soil fertility and structure. Through the analysis of crop projection images, the crop coverage area can be accurately calculated, the crop coverage rate can be determined, and the crop growth status can be evaluated. Based on rainfall, evaporation, and soil information, the runoff is scientifically calculated. Combined with rainfall, runoff, initial sediment content, soil information, and crop coverage rate, the sediment generation and migration are comprehensively evaluated, providing an important reference for soil and water conservation. By real-time monitoring of the key elements of the farming area, a data set that comprehensively reflects the real-time status of the farming area is constructed.

[0092] In some embodiments, soil information is extracted to determine soil structure and soil moisture; runoff is determined based on rainfall, evaporation, soil structure and soil moisture, referring to formula (1):

[0093] (1)

[0094] in, represents the runoff volume, Indicates rainfall, Indicates the evaporation rate, Indicates soil structure, Indicates soil moisture, The coefficient indicating the influence of rainfall on runoff. The coefficient indicating the influence of evaporation on runoff, Indicates the influence of soil structure on runoff. Indicates the degree of influence of soil moisture on runoff.

[0095] The soil structure may be soil aggregates formed by the mutual adhesion of soil particles in the monitored farming area. The soil moisture may be the water content in the soil in the monitored farming area.

[0096] Specifically, extract soil information from the monitoring area, and determine the soil structure and soil moisture in the monitoring area through natural language processing. Determine rainfall and evaporation based on the real-time analysis and processing results of the monitoring information in the monitoring area through natural language processing. Determine the coefficient of influence of rainfall on runoff by simulating rainfall data under different rainfall conditions. .

[0097] Similarly, by artificially simulating rainfall, controlling other variables, analyzing the runoff data under different evaporation conditions, and determining the coefficient of influence of evaporation on runoff Through artificially simulating rainfall runoff data under different soil structures, the influence of soil structure on runoff is determined. According to the soil moisture range, the runoff data under different soil moisture conditions were simulated by using indoor equipment to determine the impact of soil moisture on runoff. Substitute rainfall, evaporation, soil structure and soil moisture into the runoff calculation formula to obtain the runoff.

[0098] The method provided in this embodiment accurately understands the characteristics of soil in the farming area by extracting soil information, including soil structure and soil moisture. The runoff is calculated by mathematical processing technology in combination with rainfall, evaporation, soil structure and moisture, which provides a reliable data basis for subsequent soil erosion analysis and prevention and control strategy formulation. By accurately calculating the runoff, the soil erosion risk in the farming area can be carefully assessed, which helps to timely discover potential soil erosion problems.

[0099] In some embodiments, the regional image of the monitoring area is analyzed to determine the crop type; the crop growth status is determined according to the crop type; the crop coverage rate is determined according to the total crop projection area, the total area of ​​the monitoring area, the crop growth status, the soil structure, the soil moisture and the soil texture, referring to formula (2):

[0100] (2)

[0101] in, represents the crop coverage, represents the projected area of ​​the crop in the monitoring area, represents the total area of ​​the monitoring area, Indicates soil texture, Indicates soil structure, Indicates soil moisture, Indicates the growth status of crops. It is a method used to determine the growth status of crops. , soil structure , soil moisture Soil texture The adjustment factor for the calculation of .

[0102] is a function that takes into account the growth status of crops , soil structure , soil moisture and soil texture The specific form of this function is determined by experimental data, empirical models or machine learning. Based on experimental data, it is found that the growth status of crops There is a linear relationship between crop coverage and soil moisture. There may be an optimal range within which crop coverage is the highest and soil structure is and soil texture There may also be an impact on crop coverage.

[0103] The crop type may be the type of crops planted in the monitored farming area, such as corn, rice, wheat, etc. The crop growth state may be the growth state of the crops planted in the monitored farming area, such as the seedling stage, the young bud stage, the bud stage, etc. The soil texture may be the combination of mineral particles of different sizes and diameters in the soil of the monitored farming area.

[0104] Specifically, based on the soil information of the monitored area, the soil texture of the monitored farming area is determined through natural language processing.

[0105] Based on the regional image of the monitored farming area, the type of crops planted in the monitored area is determined through image processing means. Based on the type of crops planted in the monitored area, the growth period of the crops is determined through image processing means. Based on the growth period of the crops, the growth status of the crops planted is determined. Based on the real-time monitoring information of the monitored farming area, the total area of ​​the monitored farming area is determined. The total projected area of ​​the crops, the total area of ​​the monitored area, the crop growth status, the soil structure, the soil moisture and the soil texture are substituted into the mathematical formula for calculating the crop coverage rate to determine the crop coverage rate of the monitored farming area.

[0106] The method provided in this embodiment accurately identifies the type of crops planted by analyzing the regional image of the monitoring area, providing a basis for subsequent crop growth status evaluation and coverage calculation. Further analysis of the crop growth status based on the identified crop type helps to accurately understand the crop growth in the farming area, and then calculates the crop coverage rate through the crop coverage rate calculation formula, combining the crop projection area, the total area of ​​the monitoring area, the crop growth status, soil structure, soil moisture, soil texture and other factors. The distribution and growth status of crops in the monitoring area are fully reflected.

[0107] In some embodiments, the sediment content is determined based on rainfall, runoff, initial sediment content, soil texture, soil structure and crop coverage, referring to formula (3);

[0108] (3)

[0109] in, Indicates the sediment content, Indicates rainfall, represents the runoff volume, represents the total area of ​​the monitoring area, represents the initial sediment content, Indicates soil texture, Indicates soil structure, represents the crop coverage, It is a method for determining the soil texture. , soil structure and crop coverage To adjust the sediment content The adjustment factor for the calculation of .

[0110] is a function that takes into account soil texture , soil structure , crop coverage The specific form of this function needs to be determined through experimental data, empirical models or machine learning. Based on experimental data, it is found that soil texture , soil structure and crop coverage The relationship between soil texture and sediment content is likely to be nonlinear. , soil structure and crop coverage There are interactions between them, and their effects on sediment content are not independent.

[0111] Specifically, based on the soil information of the monitored area, the soil texture and soil structure of the monitored farming area are determined through natural language processing. Based on the real-time monitoring information of the monitored farming area, the initial sediment content is determined. The rainfall, runoff, initial sediment content, soil texture, soil structure and crop coverage are substituted into the sediment content calculation formula to determine the sediment content of the monitored farming area.

[0112] The method provided in this embodiment comprehensively considers the factors that affect the sediment content, such as rainfall, runoff, initial sediment content, soil texture, soil structure and crop coverage, so that the formula can provide a sediment content estimation value that is closer to the actual situation, and the adjustment factor The introduction of the new AI technology can dynamically adjust the sediment content according to the specific conditions of soil texture, soil structure and crop coverage, which further improves the accuracy of the calculation and makes the calculation of sediment content more comprehensive and accurate.

[0113] In some embodiments, real-time monitoring information of the farming area is analyzed to determine the current time, and the current quarter is determined based on the current time; rainfall information and water level information are obtained, and the rainfall information and water level information are analyzed to determine the total accumulated rainfall and the current water level; the flood season index is obtained, and the total accumulated rainfall is compared with the flood season index to determine whether the total accumulated rainfall reaches the flood season index; if the total accumulated rainfall does not reach the flood season index, the current water level is compared with the flood season index to determine whether the current water level reaches the flood season index; if the current water level reaches the flood season index, it is determined that the current period is in the flood season; based on the current quarter and the flood season, the historical element set of the farming area is determined.

[0114] The rainfall information may be the rainfall information of the area where the monitored farming area is located. The water level information may be the water level information of the representative station for river flood entry in the area where the monitored farming area is located. The representative station for river flood entry may refer to a hydrological (level) station located in the river (river) section with flood control tasks, which is representative of the region and usually experiences floods earlier. The total accumulated rainfall may be the accumulated rainfall for three consecutive days in the area where the monitored farming area is located. The current water level may be the water level of the representative station for river flood entry in the area where the monitored farming area is located. The flood season indicator may be whether the accumulated rainfall for three consecutive days reaches or exceeds 150,000 square kilometers or whether the water level of any station in the representative station for river flood entry exceeds the warning water level.

[0115] Specifically, the recording time of the real-time monitoring information of the monitored farming area is determined according to the real-time monitoring information of the farming area, and the current quarter of the farming area is determined according to the recording time of the real-time monitoring information of the farming area.

[0116] Obtain the rainfall and water level information recorded by the monitoring station, and determine the total accumulated rainfall in the monitored farming area and the current water level of the representative river flood station through natural language processing.

[0117] Obtain the flood season index of the area where the monitored farming area is located, compare the total accumulated rainfall in the area where the monitored farming area is located with the flood season index of the area where the monitored farming area is located, and determine whether the total accumulated rainfall reaches the flood season index; if the total accumulated rainfall does not reach the flood season index, compare the current water level of the representative river flood season station in the area where the monitored farming area is located with the flood season index of the area where the farming area is located, and determine whether the current water level of the representative river flood season station reaches the flood season index.

[0118] If either the total accumulated rainfall or the current water level or both reach the flood season index, it is determined that the area where the monitored farming area is located is in the flood season, and then it is determined that the monitored farming area is also in the flood season. According to the current quarter of the monitored farming area and whether the monitored farming area is in the flood season, the historical data under the same environment in the historical element concentration is determined.

[0119] The method provided in this embodiment provides a basis for subsequent flood season judgment and construction of historical element sets by obtaining real-time rainfall information and water level information of the area where the farming area is located, comprehensively analyzing the two key indicators of total accumulated rainfall and current water level, and comparing them with the flood season indicators to accurately judge whether the farming area has entered the flood season. Through the current quarter and in combination with the flood season information, the historical element set of the monitored farming area under the same environment is matched, which helps to more comprehensively analyze whether soil erosion occurs in the monitored farming area.

[0120] In some embodiments, a real-time monitoring element set of the farming area is extracted to obtain rainfall, runoff, sediment content and crop coverage; the rainfall is compared with the rainfall data in the historical element set to determine whether there is an abnormality in the rainfall; if there is no abnormality in the rainfall, the runoff is compared with the runoff data in the historical element set to determine whether there is an abnormality in the runoff; if there is no abnormality in the runoff, the sediment content is compared with the sediment content data in the historical element set to determine whether there is an abnormality in the sediment content; if there is no abnormality in the sediment content, the crop coverage is compared with the vegetation coverage in the historical element set to determine whether there is an abnormality in the crop coverage.

[0121] Specifically, the real-time monitoring element set of the farming area is extracted, and the rainfall, runoff, sediment content and crop coverage are obtained through natural language processing. The data in the real-time monitoring element set of the farming area is matched with the data in the historical element set under the same environment.

[0122] Calculate the difference value of rainfall data in each set of matching real-time monitoring element sets and rainfall data in historical element sets, and determine whether the difference value of rainfall data in each set of real-time monitoring element sets and rainfall data in historical element sets exceeds the preset threshold of rainfall. If the difference value of rainfall data in each set of real-time monitoring element sets and rainfall data in historical element sets does not exceed the preset threshold of rainfall.

[0123] The difference value is calculated for the runoff data in each set of matching real-time monitoring element sets and the runoff data in the historical element sets, and it is determined whether the difference value between the runoff data in each set of real-time monitoring element sets and the runoff data in the historical element sets exceeds the preset threshold value of the runoff. If the difference value between the runoff data in each set of real-time monitoring element sets and the runoff data in the historical element sets does not exceed the preset threshold value of the runoff.

[0124] The difference value is calculated for the sediment content in each set of matching real-time monitoring element sets and the sediment content data in the historical element sets, and it is determined whether the difference value of the sediment content data in each set of real-time monitoring element sets and the sediment content data in the historical element sets exceeds the preset threshold value of the sediment content. If the difference value of the sediment content data in each set of real-time monitoring element sets and the sediment content data in the historical element sets does not exceed the preset threshold value of the sediment content.

[0125] The difference value of the crop coverage rate data in each set of matching real-time monitoring element sets and the crop coverage rate data in the historical element sets is calculated to determine whether the difference value of the crop coverage rate data in each set of real-time monitoring element sets and the crop coverage rate data in the historical element sets exceeds the preset threshold value of the crop coverage rate. If the difference value of the crop coverage rate data in each set of real-time monitoring element sets and the crop coverage rate data in the historical element sets exceeds the preset threshold value of the sediment content, it is judged as abnormal.

[0126] The method provided in this embodiment determines the monitoring data of the farming area, including rainfall, runoff, sediment content and crop coverage, by extracting the real-time monitoring element set of the farming area, and compares the real-time monitored data with the data in the historical element set to detect whether there are abnormalities in each element. This comparison method helps to timely discover potential problems in the farming area environment. Using a hierarchical progressive analysis, first determine the rainfall, then the runoff, then the sediment content, and finally the crop coverage. Gradually narrow the scope of the problem and improve the accuracy of anomaly detection.

[0127] In some embodiments, the soil erosion level is determined based on rainfall, runoff, sediment content and crop coverage, referring to formula (4):

[0128] (4)

[0129] in, Indicates the level of soil erosion; Indicates rainfall; represents the runoff volume; Indicates the sediment content; represents the crop coverage; Indicates rainfall The coefficient of influence on the soil erosion level; Indicates runoff The coefficient of influence on the soil erosion level; Indicates the sediment content The coefficient of influence on the soil erosion level; Indicates crop coverage The coefficient of influence on the soil erosion level; Represents the factor that adjusts the range of the entire expression output.

[0130] Specifically, we design experiments to determine the rainfall Influence coefficient on soil erosion grade For example, simulated rainfall experiments with different rainfall intensities were set up in the experimental area, and soil erosion was monitored at the same time. The rainfall data and soil erosion data during the experiment were collected, and the rainfall data were analyzed through statistical analysis methods. The relationship between soil erosion and soil loss level is determined coefficient.

[0131] By designing experiments, we can determine the runoff volume. Influence coefficient on soil erosion grade For example, set up soil erosion observation experiments under different runoff conditions, regularly collect runoff data and soil erosion data, analyze the relationship between runoff Q and soil erosion grade, and determine Coefficient, similarly, coefficient and coefficient Can be determined by designing experiments.

[0132] By designing experiments, we can determine the coefficients For example, different combinations of rainfall, runoff, sediment content and crop coverage were set in the experimental area, and the corresponding soil and water loss conditions were observed and recorded. The data of various influencing factors and the observed data of soil and water loss were collected regularly, and the coefficients were determined by using regression analysis statistical methods. The value of .

[0133] The method provided in this embodiment determines the soil erosion grade by comprehensively considering multiple factors such as rainfall, runoff, sediment content and crop coverage. This comprehensive consideration method can more comprehensively reflect the actual situation of soil erosion. By introducing the influence coefficient and adjustment coefficient, the scheme can quantify the impact of various factors on soil erosion, thereby obtaining a specific soil erosion grade. This helps to more accurately assess the severity of soil erosion.

[0134] In some embodiments, the basic treatment strategy is determined according to the level of soil erosion; the real-time monitoring element set of the farming area is analyzed to determine the location and area of ​​soil erosion; the cause of soil erosion is determined according to the location and area of ​​soil erosion; the treatment strategy is determined according to the basic treatment strategy and the cause of soil erosion.

[0135] The basic treatment strategy may be a general strategy for treating soil erosion, such as reasonable farming, adjusting planting strategies, etc. The soil erosion location may be a location where soil erosion occurs. The soil erosion area may be an area where soil erosion occurs. The soil erosion cause may be a cause that causes soil erosion. The treatment strategy may be a targeted treatment for treating soil erosion, such as planting turf, building a sand dam, etc.

[0136] Specifically, according to the calculated soil erosion level, determine the general strategy for dealing with soil erosion at the current level, that is, the basic treatment strategy. Then, according to the regional image of the monitored agricultural area, analyze and process it through third-party software. For example, use ArcGIS, ENV and other software to process the image to determine the location and area of ​​soil erosion in the monitored agricultural area. According to the location and area of ​​soil erosion, determine the cause of soil erosion. According to the basic treatment strategy and the cause of soil erosion, determine the targeted treatment strategy. For example, because the unreasonable crop planting density in the agricultural area causes the soil structure to become loose, the crop planting density is changed to improve the soil erosion situation.

[0137] The method provided in this embodiment first determines the basic treatment strategies on the basis of determining the level of soil erosion. These strategies are universal and can provide strong support for subsequent targeted treatments. Then, through the analysis of the real-time monitoring element set of the farming area, the location and area of ​​soil erosion in the farming area can be accurately determined, which is helpful to carry out targeted soil erosion control work. Then, on the basis of determining the location and area of ​​soil erosion, the specific causes of soil erosion are further analyzed. This in-depth analysis helps to solve the problem at the source and formulate more effective treatment strategies. Finally, combined with the basic treatment strategies and the specific causes of soil erosion, targeted treatment strategies are formulated. These strategies are closer to reality and can more effectively solve the problem of soil erosion.

[0138] Figure 3 A structural diagram of a dynamic monitoring system for agricultural soil and water loss provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, an agricultural soil and water loss dynamic monitoring system 300 of this embodiment includes: an information monitoring module 301, a historical element determination module 302, an abnormal data analysis module 303, a level calculation module 304 and an early warning processing module 305.

[0139] The information monitoring module 301 is used to obtain the real-time monitoring information of the farming area, analyze the real-time monitoring information of the farming area, and determine the real-time monitoring element set of the farming area;

[0140] The historical element determination module 302 is used to determine the current environmental information of the farming area according to the real-time monitoring information of the farming area, and determine the historical element set of the farming area according to the current environmental information of the farming area;

[0141] Abnormal data analysis module 303, used to compare the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data;

[0142] The grade calculation module 304 is used to analyze the real-time monitoring element set of the farming area and determine the grade of soil erosion if there is abnormal data;

[0143] The early warning processing module 305 is used to determine the processing strategy according to the soil and water loss level and the real-time monitoring element set of the farming area, and remind relevant personnel to carry out early warning prevention according to the processing strategy.

[0144] Optionally, the information monitoring module 301 is specifically used to: analyze the real-time monitoring information of the farming area to determine the rainfall, evaporation, regional image of the monitoring area, the total area of ​​the monitoring area, the initial sediment content and soil data; process the soil data to determine the soil information; determine the runoff according to the rainfall, evaporation and soil information; divide the monitoring area according to the regional image to obtain a number of monitoring units; obtain the crop projection image of each monitoring unit, and determine the crop projection area of ​​each monitoring unit according to the crop projection area of ​​each monitoring unit and the total area of ​​the monitoring area; determine the total crop projection area according to the crop projection area of ​​each monitoring unit; determine the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area and soil information; determine the sediment content according to the rainfall, runoff, initial sediment content, soil information and crop coverage rate; and construct a real-time monitoring element set for the farming area according to the rainfall, runoff, sediment content, crop coverage rate and soil information.

[0145] Optionally, the information monitoring module 301 is specifically used to: extract soil information, determine soil structure and soil moisture; determine runoff according to rainfall, evaporation, soil structure and soil moisture, referring to the following formula:

[0146] ;

[0147] in, represents the runoff volume, Indicates rainfall, Indicates the evaporation rate, Indicates soil structure, Indicates soil moisture, The coefficient indicating the influence of rainfall on runoff. The coefficient indicating the influence of evaporation on runoff, Indicates the influence of soil structure on runoff. Indicates the degree of influence of soil moisture on runoff.

[0148] Optionally, the information monitoring module 301 is specifically used to: analyze the regional image of the monitoring area to determine the crop type; determine the crop growth status according to the crop type; determine the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area, the crop growth status, the soil structure, the soil moisture and the soil texture, referring to the following formula: ;

[0149] in, represents the crop coverage, represents the projected area of ​​the crop in the monitoring area, represents the total area of ​​the monitoring area, Indicates soil texture, Indicates soil structure, Indicates soil moisture, Indicates the growth status of crops. It is a method used to determine the growth status of crops. , soil structure , soil moisture Soil texture The adjustment factor for the calculation of .

[0150] Optionally, the information monitoring module 301 is specifically used for:

[0151] ;

[0152] in, Indicates the sediment content, Indicates rainfall, represents the runoff volume, represents the total area of ​​the monitoring area, represents the initial sediment content, Indicates soil texture, Indicates soil structure, represents the crop coverage, It is a method for determining the soil texture. , soil structure and crop coverage To adjust the sediment content The adjustment factor for the calculation of .

[0153] Optionally, the historical element determination module 302 is specifically used to: analyze the real-time monitoring information of the farming area, determine the current time, and determine the current quarter based on the current time; obtain rainfall information and water level information, analyze the rainfall information and water level information, and determine the total accumulated rainfall and the current water level; obtain the flood season index, compare the total accumulated rainfall with the flood season index, and determine whether the total accumulated rainfall reaches the flood season index; if the total accumulated rainfall does not reach the flood season index, compare the current water level with the flood season index to determine whether the current water level reaches the flood season index; if the current water level reaches the flood season index, determine that it is currently in the flood season; and determine the historical element set of the farming area based on the current quarter and the flood season.

[0154] Optionally, the abnormal data analysis module 303 is specifically used to: extract the real-time monitoring element set of the farming area to obtain rainfall, runoff, sediment content and crop coverage; compare the rainfall with the rainfall data in the historical element set to determine whether there is any abnormality in the rainfall; if there is no abnormality in the rainfall, compare the runoff with the runoff data in the historical element set to determine whether there is any abnormality in the runoff; if there is no abnormality in the runoff, compare the sediment content with the sediment content data in the historical element set to determine whether there is any abnormality in the sediment content; if there is no abnormality in the sediment content, compare the crop coverage with the vegetation coverage in the historical element set to determine whether there is any abnormality in the crop coverage.

[0155] Optionally, the level calculation module 304 is specifically used for:

[0156] ;

[0157] in, Indicates the level of soil erosion; Indicates rainfall; represents the runoff volume; Indicates the sediment content; represents the crop coverage; Indicates rainfall The coefficient of influence on the soil erosion level; Indicates runoff The coefficient of influence on the soil erosion level; Indicates the sediment content The coefficient of influence on the soil erosion level; Indicates crop coverage The coefficient of influence on the soil erosion level; Represents the factor that adjusts the range of the entire expression output.

[0158] Optionally, the early warning processing module 305 is specifically used to: determine the basic treatment strategy according to the soil erosion level; analyze the real-time monitoring element set of the farming area to determine the location and area of ​​soil erosion; determine the cause of soil erosion according to the location and area of ​​soil erosion; determine the treatment strategy according to the basic treatment strategy and the cause of soil erosion.

[0159] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A method for dynamic monitoring of agricultural soil and water loss, characterized in that: include: Acquire real-time monitoring information of the farming area, analyze the real-time monitoring information of the farming area, and determine a real-time monitoring element set of the farming area; Determine the current environmental information of the farming area according to the real-time monitoring information of the farming area, and determine the historical element set of the farming area according to the current environmental information of the farming area; Comparing the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data; If the abnormal data exists, analyzing the real-time monitoring element set of the farming area to determine the soil and water loss level; Determine a treatment strategy based on the soil erosion level and the real-time monitoring element set of the farming area, and remind relevant personnel to take early warning and prevention measures based on the treatment strategy; The analyzing the real-time monitoring information of the farming area to determine the real-time monitoring element set of the farming area includes: Analyze real-time monitoring information of agricultural areas to determine rainfall, evaporation, regional image of the monitoring area, total area of ​​the monitoring area, initial sediment content and soil data; Processing the soil data to determine soil information; Determining runoff according to the rainfall, the evaporation and the soil information; According to the regional image, the monitoring area is divided to obtain a plurality of monitoring units; Acquire a crop projection image of each monitoring unit, and determine the crop projection area of ​​each monitoring unit according to the crop projection area of ​​each monitoring unit and the total area of ​​the monitoring area; Determining a total crop projection area according to the crop projection area of ​​each monitoring unit; Determining the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area and the soil information; Determining sediment content according to the rainfall, the runoff, the initial sediment content, the soil information and the crop coverage rate; The real-time monitoring element set of the farming area is formed according to the rainfall, the runoff, the sediment content, the crop coverage rate and the soil information; The step of determining the runoff amount according to the rainfall, the evaporation and the soil information includes: Extracting the soil information and determining soil structure and soil moisture; The runoff is determined according to the rainfall, the evaporation, the soil structure and the soil moisture, referring to the following formula: Q=α·P-β·E-γ(S)·δ(H); Wherein, Q represents the runoff, P represents the rainfall, E represents the evaporation, S represents the soil structure, H represents the soil moisture, α represents the influence coefficient of the rainfall on the runoff, β represents the influence coefficient of the evaporation on the runoff, γ(S) represents the influence of the soil structure on the runoff, and δ(H) represents the influence of the soil moisture on the runoff; The soil information also includes soil texture. The determining of the crop coverage rate according to the total crop projection area, the total area of ​​the monitoring area and the soil information includes: Analyzing the regional image of the monitoring area to determine the crop type; determining the growth status of the crop according to the crop type; The crop coverage rate is determined according to the total crop projection area, the total area of ​​the monitoring area, the crop growth status, the soil structure, the soil moisture and the soil texture, referring to the following formula: Where CC represents the crop coverage, A crop represents the projected area of ​​the crop in the monitoring area, A total represents the total area of ​​the monitoring area, T represents the soil texture, S represents the soil structure, H represents the soil moisture, G represents the crop growth state, ζ(G, S, H, T) is an adjustment factor for calculation based on the crop growth state G, the soil structure S, the soil moisture H and the soil texture T; The step of determining the sediment content according to the rainfall, the runoff, the initial sediment content, the soil information and the crop coverage rate includes: The sediment content is determined according to the rainfall, the runoff, the initial sediment content, the soil texture, the soil structure and the crop coverage, referring to the following formula; Wherein, SC represents the sediment content, P represents the rainfall, Q represents the runoff, and A total Indicates the total area of ​​the monitoring area, SC init represents the initial sediment content, T represents the soil texture, S represents the soil structure, CC represents the crop coverage, ξ(T, S, CC) is an adjustment factor for adjusting the calculation of the sediment content SC according to the soil texture T, the soil structure S and the crop coverage CC; The analyzing the real-time monitoring element set of the farming area to determine the soil and water loss level includes: The soil erosion level is determined according to the rainfall, the runoff, the sediment content and the crop coverage rate, referring to the following formula: $=α·Pβ·Qγ·SCδ·(1-CC)∈; Among them, $ represents the soil erosion grade; P represents the rainfall; Q represents the runoff; SC represents the sediment content; CC represents the crop coverage rate; α represents the influence coefficient of the rainfall R on the soil erosion grade; β represents the influence coefficient of the runoff Q on the soil erosion grade; γ represents the influence coefficient of the sediment content C on the soil erosion grade; δ represents the influence coefficient of the crop coverage rate V on the soil erosion grade; ∈ represents the coefficient for adjusting the output range of the entire expression.

2. The method according to claim 1, characterized in that The method of determining the current environment information of the farming area according to the real-time monitoring information of the farming area, and determining the historical element set of the farming area according to the current environment information of the farming area includes: Analyze the real-time monitoring information of the farming area to determine the current time, and determine the current quarter based on the current time; Acquire rainfall information and water level information, analyze the rainfall information and the water level information, and determine the total accumulated rainfall and the current water level; Obtaining a flood season index, comparing the total accumulated rainfall with the flood season index, and determining whether the total accumulated rainfall reaches the flood season index; If the total accumulated rainfall does not reach the flood season index, the current water level is compared with the flood season index to determine whether the current water level reaches the flood season index; If the current water level reaches the flood season index, it is determined that the current period is in the flood season; A historical feature set of the farming area is determined based on the current season and the flood season.

3. The method according to claim 2, characterized in that The comparing the real-time monitoring element set of the farming area with the historical element set to determine whether there is abnormal data includes: Extracting the real-time monitoring element set of the farming area to obtain the rainfall, the runoff, the sediment content and the crop coverage rate; Comparing the rainfall with rainfall data in a historical element set to determine whether the rainfall is abnormal; If the rainfall is not abnormal, comparing the runoff with the runoff data in the historical element set to determine whether the runoff is abnormal; If the runoff volume does not have an abnormality, the sediment content is compared with the sediment content data in the historical element set to determine whether the sediment content has an abnormality; If there is no abnormality in the sediment content, the crop coverage rate is compared with the vegetation coverage rate in the historical element set to determine whether there is any abnormality in the crop coverage rate.

4. The method according to claim 1, characterized in that: Determining a treatment strategy according to the soil erosion level and the real-time monitoring element set of the farming area includes: Determine the basic treatment strategy according to the soil erosion level; Analyze the real-time monitoring element set of the farming area to determine the location and area of ​​soil erosion; Determining the cause of soil erosion according to the soil erosion location and the soil erosion area; A treatment strategy is determined based on the basic treatment strategy and the causes of soil erosion.

5. A dynamic monitoring system for agricultural soil and water loss, characterized in that: The method as claimed in any one of claims 1 to 4 comprises: An information monitoring module, used to obtain real-time monitoring information of the farming area, analyze the real-time monitoring information of the farming area, and determine a real-time monitoring element set of the farming area; A historical element determination module, used to determine the current environmental information of the farming area according to the real-time monitoring information of the farming area, and determine the historical element set of the farming area according to the current environmental information of the farming area; An abnormal data analysis module, used to compare the real-time monitoring element set of the farming area with the historical element set of the farming area to determine whether there is abnormal data; A grade calculation module, for analyzing the real-time monitoring element set of the farming area to determine the grade of soil and water loss if the abnormal data exists; The early warning processing module is used to determine the processing strategy according to the soil and water loss level and the real-time monitoring element set of the farming area, and to remind relevant personnel to carry out early warning prevention and control according to the processing strategy.

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