Water-saving salinization-control water and fertilizer irrigation method and system based on wet salt dynamic monitoring

Abstract

The invention relates to the technical field of water-saving irrigation, and discloses a water-saving salinization control water and fertilizer irrigation method and system based on wet salt dynamic monitoring, and the method comprises the steps: carrying out the dielectric parameter inversion of a target cultivated land area, and obtaining the soil water content data and the soil conductivity data; constructing a water-salt transport potential profile map of the target cultivated land area to identify a salt surface accumulation area and a salt bottom accumulation area of the target cultivated land area; performing morphological concentration analysis on the salt surface accumulation area, and performing water-salt balance allocation on the target cultivated land area to obtain a coverage leaching irrigation strategy; coding the coverage leaching irrigation strategy into a drip irrigation regulation and control instruction of the target cultivated land area, and carrying out state evolution analysis on the salt bottom accumulation area to obtain salt peak value change and depth position information; performing deep leaching correction on the coverage leaching irrigation strategy, and generating a local forced drainage irrigation instruction of the target cultivated land area; according to the invention, the efficiency of water-saving salinization-control water and fertilizer irrigation based on wet salt dynamic monitoring can be improved.

Description

Technical Field

[0001] This invention relates to the field of water-saving irrigation technology, and in particular to a water-saving, salinity-controlling, alkalization, and fertilization irrigation method and system based on dynamic monitoring of wet salinity. Background Technology

[0002] Traditional water and fertilizer irrigation cannot retrieve soil dielectric parameters in real time, making it difficult to accurately obtain soil moisture content and electrical conductivity data. It also cannot construct a complete water and salt transport profile and cannot effectively identify salt accumulation zones on the surface and in the bottom layer.

[0003] Existing irrigation methods do not take into account the spatial distribution characteristics of salt to carry out water and salt balance allocation, nor can they carry out deep leaching and correction based on the dynamic evolution of the salt accumulation zone at the bottom. As a result, the effect of controlling salt and alkali is poor and the water resource utilization rate is low. Therefore, how to improve the accuracy and operational efficiency of water-saving, salt-controlling, and fertilization irrigation has become an urgent problem to be solved. Summary of the Invention

[0004] This invention provides a water-saving, salinity-controlling, alkalization, and fertilization irrigation method and system based on dynamic monitoring of wet salinity, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides a water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity, comprising:

[0006] Dielectric parameters were inverted in the target cultivated land area to obtain soil moisture content and soil electrical conductivity data.

[0007] Multi-layer raster overlay was performed on soil moisture content data and soil electrical conductivity data to construct a water and salt transport profile of the target cultivated land area, so as to identify the salt surface accumulation area and the salt bottom accumulation area of ​​the target cultivated land area.

[0008] The speciation and concentration of salt accumulation areas were analyzed, and based on the spatial distribution range and salt concentration after analysis, water and salt balance were adjusted for the target cultivated land area to obtain a cover-type leaching irrigation strategy for the target cultivated land area.

[0009] The cover-based leaching irrigation strategy was encoded as a drip irrigation control instruction for the target cultivated land area. Based on the controlled irrigation feedback data, the state evolution analysis of the salt accumulation zone was carried out to obtain the salt peak change and depth location information of the salt accumulation zone.

[0010] Based on the changes in salinity peak and depth location information, the cover leaching irrigation strategy is corrected for deep leaching, generating localized intensive drainage irrigation instructions for the target cultivated land area.

[0011] In a preferred embodiment, the step of performing dielectric parameter inversion on the target cultivated land area to obtain soil moisture content data and soil electrical conductivity data for the target cultivated land area includes:

[0012] Collect frequency-converted electromagnetic reflection signals from the target cultivated land area, and separate the amplitude attenuation data and phase shift data of the frequency-converted electromagnetic reflection signals;

[0013] Spectral envelope reconstruction was performed on amplitude attenuation data and phase shift data to obtain the complex impedance spectral characteristic curve of the target cultivated land area;

[0014] Feature points are identified on the complex impedance spectrum characteristic curve, and the real and imaginary impedance data corresponding to the characteristic frequency points in the complex impedance spectrum characteristic curve are extracted.

[0015] Complex response parameter analysis was performed on the real and imaginary impedance data to obtain soil moisture content and soil electrical conductivity data for the target cultivated land area.

[0016] In a preferred embodiment, the step of overlaying soil moisture content data and soil electrical conductivity data into a multi-layer raster to construct a water-salt transport profile of the target cultivated land area includes:

[0017] The target cultivated area is divided into planar grids according to the preset spatial resolution;

[0018] Based on the geographical location of soil moisture content and soil electrical conductivity data, layered data embedding is performed on the planar raster to obtain multi-layer raster data of the target cultivated land area.

[0019] By fitting the trend surface of the multi-layer raster data, the spatial continuous distribution surface of soil moisture content and the spatial continuous distribution surface of soil electrical conductivity in the target cultivated land area are obtained.

[0020] The spatial continuous distribution surfaces of soil moisture content and soil electrical conductivity are spatially overlaid and fused to obtain a water and salt property overlay layer for the target cultivated land area.

[0021] Following the order of soil depth from shallow to deep, the water and salt properties overlay layers are stacked in three dimensions to obtain a water and salt transport profile of the target cultivated land area.

[0022] In a preferred embodiment, identifying the surface salt accumulation zone and the subsurface salt accumulation zone of the target arable land area includes:

[0023] Vertical stratification analysis was performed on the water-salt transport profile to obtain surface soil electrical conductivity data and deep soil electrical conductivity data.

[0024] Grids with surface soil electrical conductivity data exceeding the preset crop salt tolerance threshold are marked as surface accumulation seed points in the water-salt transport profile, and grids with local peaks in deep soil electrical conductivity data along the depth direction are marked as cumulative seed points in the water-salt transport profile.

[0025] Spatial connectivity analysis was performed on the surface aggregation seed points, and based on the analysis results, the coverage areas of mutually adjacent and continuously distributed surface aggregation seed points were merged into the salinity surface aggregation area of ​​the target cultivated land area.

[0026] By expanding the horizontal connectivity of the accumulated seed points, the salt accumulation zone of the target cultivated land area is obtained.

[0027] In a preferred embodiment, the speciation and concentration analysis of the salt accumulation zone includes:

[0028] Discrete point mapping is performed on the water-salt transport profile to obtain the spatial distribution lattice of salinity accumulation zones.

[0029] Based on the spatially distributed point matrix, the boundary of the salt surface accumulation area is traced to obtain the outer contour line of the salt surface accumulation area.

[0030] By measuring the closed region along the outer edge contour line, the spatial distribution range of the salt accumulation zone is obtained.

[0031] Mathematical index analysis was performed on the soil electrical conductivity data of the salt accumulation zone to obtain the salt concentration of the salt accumulation zone.

[0032] In a preferred embodiment, the step of adjusting the water-salt balance of the target cultivated land area based on the analyzed spatial distribution range and salt concentration to obtain a cover-based leaching irrigation strategy for the target cultivated land area includes:

[0033] Based on the spatial distribution range of salt accumulation zones, the target cultivated land area is divided into operation areas to obtain the coverage leaching operation area of ​​the target cultivated land area.

[0034] Based on the salt concentration in the salt accumulation zone, combined with the field water holding capacity and water infiltration rate parameters of the soil layer below the salt accumulation zone, the expected leaching water depth of the salt accumulation zone is calculated.

[0035] Spatial correlation compilation was performed on the coverage leaching operation area and the expected leaching water depth to obtain the coverage leaching irrigation execution parameters for the target cultivated land area;

[0036] By integrating the time-series rules of the execution parameters of cover irrigation, a cover irrigation strategy for the target cultivated land area is obtained.

[0037] In a preferred embodiment, the formula for calculating the expected rinsing water depth is as follows:

[0038] ;

[0039] In the formula, To predict the rinsing water depth, This refers to the salt concentration in the salt accumulation zone. This is the soil bulk density of the underlying soil layer. The thickness of the salt accumulation zone. The salt concentration of the irrigation water. This is the preset rinsing efficiency coefficient. This represents the rate of water infiltration. Field water holding capacity, For the natural constant An exponential function with base 0.

[0040] In a preferred embodiment, the step of performing state evolution analysis on the salinity accumulation zone based on the regulated irrigation feedback data to obtain the peak salinity change and depth location information of the salinity accumulation zone includes:

[0041] Extracting the time-series profile of the salt accumulation zone in the bottom layer of the irrigation feedback data after regulation;

[0042] Vertical distribution characteristics of the time series profile were analyzed to locate the depth at which soil electrical conductivity exhibited extreme response in the salt accumulation zone at the bottom layer.

[0043] The soil electrical conductivity values ​​and depth data at different depths are used as the instantaneous peak salinity and instantaneous peak depth in the salinity accumulation zone at the bottom layer.

[0044] By analyzing the variation patterns of instantaneous peak salinity and instantaneous peak depth in chronological order, information on the variation of peak salinity and depth location in the bottom salt accumulation zone is obtained.

[0045] In a preferred embodiment, the step of performing deep leaching correction on the cover leaching irrigation strategy based on salinity peak changes and depth location information to generate local intensive drainage irrigation instructions for the target cultivated land area includes:

[0046] When the rate of decay in the change of salinity peak is lower than the preset rinsing efficiency threshold, and the downward displacement in the depth location information does not reach the preset safe depth threshold, the operation type of the salinity bottom accumulation zone is determined to be a local forced drainage operation.

[0047] During the localized intensive drainage operation, based on the attenuation amplitude in the change of salinity peak and the downward shift rate in the depth location information, the leaching water volume in the covering leaching irrigation strategy is allocated in a fixed increment to obtain the localized intensive drainage operation parameters for the salinity bottom accumulation zone.

[0048] The parameters of localized intensive drainage operations are encoded as localized intensive drainage irrigation instructions for the target cultivated land area.

[0049] To address the aforementioned problems, this invention also provides a water-saving, salinization-controlling, and alkalization irrigation system based on dynamic monitoring of wet salinity, the system comprising:

[0050] The dielectric parameter inversion module is used to invert the dielectric parameters of the target cultivated land area to obtain soil moisture content data and soil electrical conductivity data of the target cultivated land area.

[0051] The water and salt profile construction module is used to overlay multi-layer raster data on soil moisture content and soil electrical conductivity data to construct a water and salt transport profile map of the target cultivated land area, so as to identify the salt surface accumulation area and the salt bottom accumulation area of ​​the target cultivated land area.

[0052] The surface accumulation zone control module is used to analyze the speciation and concentration of salt in the surface accumulation zone, and based on the analyzed spatial distribution range and salt concentration, to adjust the water and salt balance of the target cultivated land area and obtain the coverage leaching irrigation strategy for the target cultivated land area.

[0053] The instruction encoding and evolution analysis module is used to encode the cover-over-leaching irrigation strategy into drip irrigation control instructions for the target cultivated land area, and based on the controlled irrigation feedback data, to perform state evolution analysis on the salt bottom accumulation zone, and obtain the salt peak change and depth location information of the salt bottom accumulation zone.

[0054] The deep leaching correction module is used to perform deep leaching correction on the cover leaching irrigation strategy based on the changes in salinity peak and depth location information, and generate local intensive drainage irrigation instructions for the target cultivated land area.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] 1. This invention accurately acquires soil water and salt data and constructs a water and salt transport profile by inverting dielectric parameters and overlaying multi-layer grids, which can quickly locate surface salt accumulation areas and bottom accumulation areas, providing accurate data support for irrigation regulation.

[0057] 2. This invention formulates a comprehensive leaching irrigation strategy based on the characteristics of salt accumulation zones, and completes deep leaching correction by combining the dynamic evolution of salt accumulation zones at the bottom layer, generating appropriate local strong drainage irrigation instructions, realizing precise allocation of water and salt balance, and significantly improving the efficiency and salt control effect of water-saving, salt-controlling, and alkalization irrigation. Attached Figure Description

[0058] Figure 1 A schematic flowchart of a water-saving, salinization-controlling, alkalization-reducing irrigation method based on dynamic monitoring of wet salinity provided in an embodiment of the present invention;

[0059] Figure 2 This is a functional block diagram of a water-saving, salinization-controlling, alkalization-reducing irrigation system based on dynamic monitoring of wet salinity provided in an embodiment of the present invention;

[0060] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0061] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0062] This application provides a water-saving, salinity-controlling, and alkalization irrigation method based on dynamic monitoring of wet salinity. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the water-saving, salinity-controlling, and alkalization irrigation method based on dynamic monitoring of wet salinity can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms.

[0063] Reference Figure 1 The diagram shown is a flowchart illustrating a water-saving, salinity-controlling, alkalization-reducing irrigation method based on dynamic wet salinity monitoring according to an embodiment of the present invention. In this embodiment, the water-saving, salinity-controlling, alkalization-reducing irrigation method based on dynamic wet salinity monitoring includes:

[0064] Dielectric parameters were inverted in the target cultivated land area to obtain soil moisture content and soil electrical conductivity data.

[0065] In this embodiment of the invention, the step of performing dielectric parameter inversion on the target cultivated land area to obtain soil moisture content data and soil electrical conductivity data of the target cultivated land area includes:

[0066] Collect frequency-converted electromagnetic reflection signals from the target cultivated land area, and separate the amplitude attenuation data and phase shift data of the frequency-converted electromagnetic reflection signals;

[0067] Spectral envelope reconstruction was performed on amplitude attenuation data and phase shift data to obtain the complex impedance spectral characteristic curve of the target cultivated land area;

[0068] Feature points are identified on the complex impedance spectrum characteristic curve, and the real and imaginary impedance data corresponding to the characteristic frequency points in the complex impedance spectrum characteristic curve are extracted.

[0069] Complex response parameter analysis was performed on the real and imaginary impedance data to obtain soil moisture content and soil electrical conductivity data for the target cultivated land area.

[0070] Multiple sets of electromagnetic waves of different frequencies are emitted into the soil layer of the target cultivated area by a frequency conversion electromagnetic detection device. After the electromagnetic waves propagate in the soil medium, they generate reflected echoes. The device continuously receives the reflected echoes and forms a complete frequency conversion electromagnetic reflection signal. The frequency conversion electromagnetic reflection signal is split according to the transmission variation law of the signal amplitude. After splitting, amplitude attenuation data containing only amplitude change information is obtained. The frequency conversion electromagnetic reflection signal is split according to the transmission offset law of the signal phase. After splitting, phase offset data containing only phase change information is obtained.

[0071] The amplitude attenuation data and phase shift data are combined according to a one-to-one frequency sequence. A two-dimensional coordinate plane is established with the frequency value as the horizontal axis and the signal response intensity as the vertical axis. The combined discrete data points are smoothly connected in the coordinate plane. During the connection process, the core response characteristics of the data are preserved and discrete interference points are removed, and finally a complete and continuous complex impedance spectrum characteristic curve of the target cultivated land area is formed.

[0072] The effective frequency range for soil water and salt detection is pre-defined as the screening criterion for characteristic frequency points. All coordinate points are traversed on the complex impedance spectrum characteristic curve, and coordinate points that are within the effective frequency range and whose signal response values ​​remain stable are selected as characteristic frequency points. The real part of the impedance corresponding to each characteristic frequency point in the coordinate plane is read one by one, and all values ​​are integrated to form the real part of the impedance corresponding to the characteristic frequency point in the complex impedance spectrum characteristic curve. The imaginary part of the impedance corresponding to each characteristic frequency point in the coordinate plane is read one by one, and all values ​​are integrated to form the imaginary part of the impedance corresponding to the characteristic frequency point in the complex impedance spectrum characteristic curve.

[0073] Based on the direct correspondence between the real part of impedance and soil moisture content, the real part data of impedance is converted into the actual value of soil moisture content one by one. After all the values ​​are integrated, the soil moisture content data of the target cultivated land area is formed. Based on the direct correspondence between the imaginary part of impedance and soil conductivity, the imaginary part data of impedance is converted into the actual value of soil conductivity one by one. After all the values ​​are integrated, the soil conductivity data of the target cultivated land area is formed.

[0074] The beneficial effects are as follows: by accurately acquiring and separating the frequency-converted electromagnetic reflection signal, pure amplitude attenuation data and phase shift data are obtained, ensuring the accuracy of subsequent curve reconstruction; a complete complex impedance spectrum characteristic curve is generated through a standardized spectrum envelope reconstruction process, providing a stable foundation for feature point extraction; the real and imaginary impedance data are accurately extracted through a clear feature frequency point selection benchmark, avoiding data extraction errors; and the data is analyzed through direct physical correspondence, stably obtaining accurate soil moisture content data and soil conductivity data, providing reliable data support for subsequent water-salt profile construction and irrigation regulation.

[0075] Multi-layer raster overlay was performed on soil moisture content data and soil electrical conductivity data to construct a water and salt transport profile of the target cultivated land area, so as to identify the salt surface accumulation area and the salt bottom accumulation area of ​​the target cultivated land area.

[0076] In this embodiment of the invention, the step of performing multi-layer raster overlay on soil moisture content data and soil electrical conductivity data to construct a water-salt transport profile of the target cultivated land area includes:

[0077] The target cultivated area is divided into planar grids according to the preset spatial resolution;

[0078] Based on the geographical location of soil moisture content and soil electrical conductivity data, layered data embedding is performed on the planar raster to obtain multi-layer raster data of the target cultivated land area.

[0079] By fitting the trend surface of the multi-layer raster data, the spatial continuous distribution surface of soil moisture content and the spatial continuous distribution surface of soil electrical conductivity in the target cultivated land area are obtained.

[0080] The spatial continuous distribution surfaces of soil moisture content and soil electrical conductivity are spatially overlaid and fused to obtain a water and salt property overlay layer for the target cultivated land area.

[0081] Following the order of soil depth from shallow to deep, the water and salt properties overlay layers are stacked in three dimensions to obtain a water and salt transport profile of the target cultivated land area.

[0082] The identification of surface salt accumulation zones and subsurface salt accumulation zones in the target arable land area includes:

[0083] Vertical stratification analysis was performed on the water-salt transport profile to obtain surface soil electrical conductivity data and deep soil electrical conductivity data.

[0084] Grids with surface soil electrical conductivity data exceeding the preset crop salt tolerance threshold are marked as surface accumulation seed points in the water-salt transport profile, and grids with local peaks in deep soil electrical conductivity data along the depth direction are marked as cumulative seed points in the water-salt transport profile.

[0085] Spatial connectivity analysis was performed on the surface aggregation seed points, and based on the analysis results, the coverage areas of mutually adjacent and continuously distributed surface aggregation seed points were merged into the salinity surface aggregation area of ​​the target cultivated land area.

[0086] By expanding the horizontal connectivity of the accumulated seed points, the salt accumulation zone of the target cultivated land area is obtained.

[0087] The planar size of a single grid is determined according to the preset spatial resolution. Using this size as a standard, the overall plane of the target cultivated land area is divided into planar grids of uniform size and regular arrangement. Each planar grid corresponds to an independent and unique planar geographic coordinate.

[0088] The geographic coordinates of soil moisture content data and soil electrical conductivity data are matched one by one with the geographic coordinates of the planar raster. The data embedding levels are divided according to different soil depths. The matched soil moisture content data and soil electrical conductivity data are filled into the planar raster with corresponding coordinates and depths. After filling, multi-layer raster data of the target cultivated land area is formed.

[0089] Using the planar coordinates of multi-layer raster data as the spatial reference and the data values ​​as the numerical reference, a three-dimensional fitting space is constructed. Discrete data points in the multi-layer raster are fitted with a continuous and smooth trend surface in the three-dimensional fitting space. During the fitting process, the spatial distribution variation law of the data is completely preserved. For soil moisture content related data, a continuous spatial distribution surface of soil moisture content in the target cultivated land area is formed by fitting. For soil electrical conductivity related data, a continuous spatial distribution surface of soil electrical conductivity in the target cultivated land area is formed by fitting.

[0090] The spatial continuous distribution surface of soil moisture content and the spatial continuous distribution surface of soil electrical conductivity are completely overlapped with a unified planar geographic coordinate system. After overlap, the soil moisture content attribute and soil electrical conductivity attribute at the same coordinate position are merged and integrated to form a water and salt attribute overlay layer for the target cultivated land area.

[0091] A pre-defined sequence of soil layer depths is established. Following the arrangement of soil layers from shallow to deep, the corresponding water and salt properties overlay layers are stacked and combined vertically layer by layer. After stacking and combining, a complete three-dimensional spatial visualization structure is formed, which is the water and salt transport profile of the target cultivated land area.

[0092] Based on the preset soil depth limit, the water-salt transport profile is divided into a surface soil region and a deep soil region along the vertical direction. The soil conductivity values ​​of all grids in the surface soil region are extracted and combined to form surface soil conductivity data, and the soil conductivity values ​​of all grids in the deep soil region are extracted and combined to form deep soil conductivity data.

[0093] In the surface soil electrical conductivity data, grids with values ​​greater than the preset crop salt tolerance threshold are marked as surface accumulation seed points at the corresponding positions in the water and salt transport profile. The values ​​of deep soil electrical conductivity data along the depth direction are traversed, and grids with values ​​higher than the values ​​of the two adjacent grids above and below are marked as cumulative seed points.

[0094] The positional relationship between each surface aggregation seed point and its surrounding grid is checked one by one. Surface aggregation seed points that share edges or vertices are determined to be mutually adjacent and continuously distributed. All grid areas covered by all surface aggregation seed points that are mutually adjacent and continuously distributed are merged. The complete area after merging is the salinity surface aggregation area of ​​the target cultivated land area.

[0095] Using each cumulative seed point as the core reference point, the grid coverage area is gradually expanded in the horizontal direction. All grids with the same attributes as the cumulative seed point within the expanded area are included in the corresponding area. All the expanded areas together form the salt accumulation zone of the target cultivated land area.

[0096] The beneficial effects include ensuring the accuracy and regularity of data embedding through standardized planar grid division; forming complete multi-layered grid data through hierarchical data embedding; eliminating the distribution error of discrete data through trend surface fitting; obtaining continuous and stable spatial distribution surfaces of soil moisture content and soil electrical conductivity; achieving integrated integration of water and salt properties through spatial overlay and fusion; forming a standardized water and salt property overlay layer; constructing an intuitive and complete water and salt transport profile through three-dimensional voxel stacking; clearly distinguishing surface and deep soil electrical conductivity data through vertical stratification; accurately marking seed points through preset thresholds and peak value determination rules; and accurately dividing salt accumulation areas on the surface and in the bottom layer through spatial connectivity analysis and horizontal connectivity expansion. This provides reliable spatial data and regional positioning support for subsequent water and salt balance allocation and irrigation strategy formulation.

[0097] The speciation and concentration of salt accumulation areas were analyzed, and based on the spatial distribution range and salt concentration after analysis, water and salt balance were adjusted for the target cultivated land area to obtain a cover-type leaching irrigation strategy for the target cultivated land area.

[0098] In this embodiment of the invention, the speciation and concentration analysis of the salt accumulation zone includes:

[0099] Discrete point mapping is performed on the water-salt transport profile to obtain the spatial distribution lattice of salinity accumulation zones.

[0100] Based on the spatially distributed point matrix, the boundary of the salt surface accumulation area is traced to obtain the outer contour line of the salt surface accumulation area.

[0101] By measuring the closed region along the outer edge contour line, the spatial distribution range of the salt accumulation zone is obtained.

[0102] Mathematical index analysis was performed on the soil electrical conductivity data of the salt accumulation zone to obtain the salt concentration of the salt accumulation zone.

[0103] Based on the analyzed spatial distribution range and salt concentration, water and salt balance adjustments are made in the target cultivated land area to obtain a cover-based leaching irrigation strategy for the target cultivated land area, including:

[0104] Based on the spatial distribution range of salt accumulation zones, the target cultivated land area is divided into operation areas to obtain the coverage leaching operation area of ​​the target cultivated land area.

[0105] Based on the salt concentration in the salt accumulation zone, combined with the field water holding capacity and water infiltration rate parameters of the soil layer below the salt accumulation zone, the expected leaching water depth of the salt accumulation zone is calculated.

[0106] Spatial correlation compilation was performed on the coverage leaching operation area and the expected leaching water depth to obtain the coverage leaching irrigation execution parameters for the target cultivated land area;

[0107] By integrating the time-series rules of the execution parameters of cover irrigation, a cover irrigation strategy for the target cultivated land area is obtained.

[0108] The formula for calculating the expected rinsing water depth is as follows:

[0109] ;

[0110] In the formula, To predict the rinsing water depth, This refers to the salt concentration in the salt accumulation zone. This is the soil bulk density of the underlying soil layer. The thickness of the salt accumulation zone. The salt concentration of the irrigation water. This is the preset rinsing efficiency coefficient. This represents the rate of water infiltration. Field water holding capacity, For the natural constant An exponential function with base 0.

[0111] Independent coordinates are extracted for each spatial location corresponding to the salt accumulation zone in the water-salt transport profile. All extracted coordinate points are then arranged in a regular pattern according to the actual spatial layout rules to form a spatial distribution matrix of the salt accumulation zone.

[0112] Starting from the outermost coordinate point in the spatially distributed dot matrix, the nearest adjacent coordinate points are connected sequentially along the outer contour of the dot matrix. During the connection process, the continuity and closure of the lines are maintained, and finally a complete closed line is formed. This line is the outer contour line of the salt accumulation zone.

[0113] Using the outer contour line as a complete closed boundary, the planar dimensions and coverage of the planar geographical area covered within the boundary are accurately measured. The measured regional data is the spatial distribution range of the salinity accumulation zone.

[0114] Extract all soil electrical conductivity data within the salinity accumulation zone, summarize all data, and calculate the arithmetic mean. The calculated average value is the salinity concentration of the salinity accumulation zone.

[0115] The operational coverage boundary is delineated based on the spatial distribution range of the salt accumulation zone. All areas within the target cultivated land area that are inside the operational coverage boundary are uniformly classified and divided. After the division, the coverage leaching operation area of ​​the target cultivated land area is obtained.

[0116] The numerator is obtained by multiplying the salt concentration in the salt accumulation zone by the soil bulk density of the underlying soil layer and the thickness of the salt accumulation zone. The denominator is obtained by multiplying the salt concentration of the irrigation water by the product of a negative preset leaching efficiency coefficient (subtracting the natural constant) and the water infiltration rate, divided by the field water holding capacity. The final result is obtained by dividing the numerator by the denominator. This result is the expected leaching water depth of the salt accumulation zone.

[0117] The geospatial information of the coverage leaching operation area is precisely matched and bound with the numerical information of the expected leaching water depth, so that each operation area is matched with a unique leaching water depth value. After the binding is completed, the coverage leaching irrigation execution parameters of the target farmland area are formed.

[0118] According to the preset irrigation operation time sequence and single irrigation duration standard, the execution parameters of the cover irrigation are orderly allocated and combined according to the time stage, and the time rules and execution parameters are fully integrated to form the cover irrigation strategy for the target cultivated land area.

[0119] The beneficial effects are as follows: by accurately mapping discrete points and tracing boundaries, the spatial morphology and distribution range of salinity accumulation areas are fully obtained; by analyzing standardized mathematical indicators, accurate salinity concentration data is obtained, providing a reliable data foundation for water-salt balance regulation; by scientifically dividing the work area, the specific scope of leaching operations is clearly defined; by rigorous numerical calculations, the expected leaching water depth that conforms to the soil water-salt characteristics is obtained; and by spatial correlation compilation and temporal rule integration, a directly executable comprehensive leaching irrigation strategy is formed, ensuring the accuracy and effectiveness of leaching operations, realizing the scientific regulation of water-salt balance in target cultivated land areas, and improving the operational quality of water-saving and salinization-controlling irrigation.

[0120] The cover-based leaching irrigation strategy was encoded as a drip irrigation control instruction for the target cultivated land area. Based on the controlled irrigation feedback data, the state evolution analysis of the salt accumulation zone was carried out to obtain the salt peak change and depth location information of the salt accumulation zone.

[0121] In this embodiment of the invention, the step of performing state evolution analysis on the salinity accumulation zone based on the regulated irrigation feedback data to obtain the peak salinity change and depth location information of the salinity accumulation zone includes:

[0122] Extracting the time-series profile of the salt accumulation zone in the bottom layer of the irrigation feedback data after regulation;

[0123] Vertical distribution characteristics of the time series profile were analyzed to locate the depth at which soil electrical conductivity exhibited extreme response in the salt accumulation zone at the bottom layer.

[0124] The soil electrical conductivity values ​​and depth data at different depths are used as the instantaneous peak salinity and instantaneous peak depth in the salinity accumulation zone at the bottom layer.

[0125] By analyzing the variation patterns of instantaneous peak salinity and instantaneous peak depth in chronological order, information on the variation of peak salinity and depth location in the bottom salt accumulation zone is obtained.

[0126] The cover irrigation strategy, including the cover irrigation operation area, expected irrigation water depth, and irrigation timing rules, is converted into control signals that the drip irrigation system can recognize and execute. The control signals include the valve opening status, irrigation flow setting, irrigation duration allocation, and start / stop time setting for the corresponding irrigation area. After conversion, the drip irrigation control instructions for the target farmland area are formed.

[0127] Soil electrical conductivity data for each soil layer depth in the salt accumulation zone were extracted from the irrigation feedback data collected in real time after the irrigation operation was completed, according to the chronological order of monitoring time. The vertical data of the salt accumulation zone at different time points were combined to form a time series profile of the salt accumulation zone.

[0128] By comparing the soil data of each soil layer in the time series profile layer by layer along the vertical depth direction, the vertical position of the soil layer where the soil electrical conductivity value reaches the maximum is selected. This position is the depth position where the soil electrical conductivity in the salt accumulation zone shows an extreme response.

[0129] Read the soil conductivity value corresponding to the depth position where the soil conductivity shows an extreme response in the salt accumulation zone, and take this value directly as the instantaneous peak salinity in the salt accumulation zone. Read the vertical depth data corresponding to this depth position and take this data directly as the instantaneous peak depth in the salt accumulation zone.

[0130] According to the monitoring time sequence of irrigation feedback data, the instantaneous peak salinity value and instantaneous peak depth data corresponding to each time node are compared one by one. The numerical variation pattern of instantaneous peak salinity and the vertical displacement pattern of instantaneous peak depth are sorted out. After sorting, the information on the change of salinity peak value and depth location of the salinity accumulation zone at the bottom layer is obtained.

[0131] The beneficial effects are as follows: by accurately encoding the coverage leaching irrigation strategy into drip irrigation control instructions, the irrigation operation can be automated and executed precisely; by extracting the time series profile of the salt accumulation zone in the bottom layer, the dynamic change data of water and salt state after irrigation can be completely preserved; by analyzing the vertical distribution characteristics, the depth of the extreme response of soil electrical conductivity can be accurately located, ensuring the accuracy of the extraction of instantaneous peak salinity and instantaneous peak depth; and by sorting out the change pattern in time sequence, the information on the change of peak salinity and depth location can be stably obtained, providing real and reliable dynamic data support for subsequent deep leaching correction.

[0132] Based on the changes in salinity peak and depth location information, the cover leaching irrigation strategy is corrected for deep leaching, generating localized intensive drainage irrigation instructions for the target cultivated land area.

[0133] In this embodiment of the invention, the step of performing deep leaching correction on the cover leaching irrigation strategy based on salinity peak changes and depth location information to generate local intensive drainage irrigation instructions for the target cultivated land area includes:

[0134] When the rate of decay in the change of salinity peak is lower than the preset rinsing efficiency threshold, and the downward displacement in the depth location information does not reach the preset safe depth threshold, the operation type of the salinity bottom accumulation zone is determined to be a local forced drainage operation.

[0135] During the localized intensive drainage operation, based on the attenuation amplitude in the change of salinity peak and the downward shift rate in the depth location information, the leaching water volume in the covering leaching irrigation strategy is allocated in a fixed increment to obtain the localized intensive drainage operation parameters for the salinity bottom accumulation zone.

[0136] The parameters of localized intensive drainage operations are encoded as localized intensive drainage irrigation instructions for the target cultivated land area.

[0137] The numerical rate of change of the peak salinity is compared with the preset rinsing efficiency threshold to determine whether the rate of decrease of the peak salinity is less than the threshold standard. The vertical displacement distance of the vertical depth in the depth location information is compared with the preset safe depth threshold to determine whether the downward displacement distance is less than the threshold standard. When both comparison results meet the rinsing efficiency threshold standard and the safe depth threshold standard, the operation type of the bottom salt accumulation zone is determined to be a local forced drainage operation.

[0138] Once the localized intensive drainage operation is in progress, the incremental ratio of the rinsing water volume is determined based on the attenuation rate in the change of salinity peak value, and the incremental amount of the rinsing water volume is determined based on the downward movement rate in the depth location information. The benchmark value and the incremental value are superimposed to calculate the total incremental value, which is the required additional rinsing water volume quota. All calculation results are integrated to form the localized intensive drainage operation parameters for the salinity bottom accumulation zone.

[0139] The spatial location information of the target cultivated land area, the leachate volume quota information, and the operation execution time sequence information contained in the localized intensive drainage operation parameters are converted into binary control instructions that the drip irrigation equipment can recognize. The instructions include specific valve group numbers, flow set values, and start and stop time nodes. After the conversion is completed, localized intensive drainage irrigation instructions for the target cultivated land area are generated.

[0140] The beneficial effects are as follows: by accurately determining the dual threshold, the state of the salt accumulation zone at the bottom layer can be accurately identified, providing a clear technical basis for switching operation types; by allocating quota increments based on attenuation magnitude and downward movement rate, the water supply for local intensive drainage operations can be matched with the soil desalination needs, avoiding water waste or insufficient leaching; by generating directly executable local intensive drainage irrigation instructions through coding conversion, the dynamic optimization and correction of the coverage leaching irrigation strategy can be realized, ensuring the continuous stability of water and salt balance in the target cultivated land area and improving the overall efficiency and effect of saline-alkali land improvement.

[0141] like Figure 2 The diagram shown is a functional block diagram of a water-saving, salt-controlling, alkalization, and fertilization irrigation system based on dynamic monitoring of wet salinity provided in an embodiment of the present invention.

[0142] The water-saving, salinity-controlling, and alkalization irrigation system 10 based on dynamic wet salinity monitoring of the present invention can be installed in an electronic device. Depending on the functions implemented, the water-saving, salinity-controlling, and alkalization irrigation system 10 based on dynamic wet salinity monitoring may include a dielectric parameter inversion module 11, a water-salt profile construction module 12, a surface accumulation zone control module 13, an instruction encoding and evolution analysis module 14, and a deep leaching correction module 15. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and is stored in the memory of the electronic device.

[0143] In this embodiment, the functions of each module / unit are as follows:

[0144] Dielectric parameter inversion module 11 is used to perform dielectric parameter inversion on the target cultivated land area to obtain soil moisture content data and soil electrical conductivity data of the target cultivated land area;

[0145] The water and salt profile construction module 12 is used to overlay soil moisture content data and soil electrical conductivity data in multiple raster layers to construct a water and salt transport profile map of the target cultivated land area, so as to identify the salt surface accumulation area and the salt bottom accumulation area of ​​the target cultivated land area.

[0146] The surface accumulation zone control module 13 is used to analyze the form and concentration of salt in the surface accumulation zone, and based on the analyzed spatial distribution range and salt concentration, to carry out water and salt balance allocation in the target cultivated land area, and obtain the coverage leaching irrigation strategy for the target cultivated land area.

[0147] The instruction encoding and evolution analysis module 14 is used to encode the covering leaching irrigation strategy into drip irrigation control instructions for the target cultivated land area, and based on the controlled irrigation feedback data, to perform state evolution analysis on the salt bottom accumulation zone, and obtain the salt peak change and depth location information of the salt bottom accumulation zone.

[0148] The deep leaching correction module 15 is used to perform deep leaching correction on the coverage leaching irrigation strategy based on the changes in salinity peak and depth location information, and generate local intensive drainage irrigation instructions for the target cultivated land area.

[0149] In the several embodiments provided by this invention, it should be understood that the disclosed methods and systems can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0150] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0151] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0152] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0153] This application embodiment can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity, characterized in that, The method includes: Dielectric parameters were inverted in the target cultivated land area to obtain soil moisture content and soil electrical conductivity data. Multi-layer raster overlay was performed on soil moisture content data and soil electrical conductivity data to construct a water and salt transport profile of the target cultivated land area, so as to identify the salt surface accumulation area and the salt bottom accumulation area of ​​the target cultivated land area. The speciation and concentration of salt accumulation areas were analyzed, and based on the spatial distribution range and salt concentration after analysis, water and salt balance were adjusted for the target cultivated land area to obtain a cover-type leaching irrigation strategy for the target cultivated land area. The cover-based leaching irrigation strategy was encoded as a drip irrigation control instruction for the target cultivated land area. Based on the controlled irrigation feedback data, the state evolution analysis of the salt accumulation zone was carried out to obtain the salt peak change and depth location information of the salt accumulation zone. Based on the changes in salinity peak and depth location information, the cover leaching irrigation strategy is corrected for deep leaching, generating localized intensive drainage irrigation instructions for the target cultivated land area.

2. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, The dielectric parameter inversion of the target cultivated land area to obtain soil moisture content data and soil electrical conductivity data of the target cultivated land area includes: Collect frequency-converted electromagnetic reflection signals from the target cultivated land area, and separate the amplitude attenuation data and phase shift data of the frequency-converted electromagnetic reflection signals; Spectral envelope reconstruction was performed on amplitude attenuation data and phase shift data to obtain the complex impedance spectral characteristic curve of the target cultivated land area; Feature points are identified on the complex impedance spectrum characteristic curve, and the real and imaginary impedance data corresponding to the characteristic frequency points in the complex impedance spectrum characteristic curve are extracted. Complex response parameter analysis was performed on the real and imaginary impedance data to obtain soil moisture content and soil electrical conductivity data for the target cultivated land area.

3. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, The process of overlaying soil moisture content and soil electrical conductivity data into a multi-layer raster to construct a water-salt transport profile of the target cultivated land area includes: The target cultivated area is divided into planar grids according to the preset spatial resolution; Based on the geographical location of soil moisture content and soil electrical conductivity data, layered data embedding is performed on the planar raster to obtain multi-layer raster data of the target cultivated land area. By fitting the trend surface of the multi-layer raster data, the spatial continuous distribution surface of soil moisture content and the spatial continuous distribution surface of soil electrical conductivity in the target cultivated land area are obtained. The spatial continuous distribution surfaces of soil moisture content and soil electrical conductivity are spatially overlaid and fused to obtain a water and salt property overlay layer for the target cultivated land area. Following the order of soil depth from shallow to deep, the water and salt properties overlay layers are stacked in three dimensions to obtain a water and salt transport profile of the target cultivated land area.

4. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, The identification of surface salt accumulation zones and subsurface salt accumulation zones in the target arable land area includes: Vertical stratification analysis was performed on the water-salt transport profile to obtain surface soil electrical conductivity data and deep soil electrical conductivity data. Grids with surface soil electrical conductivity data exceeding the preset crop salt tolerance threshold are marked as surface accumulation seed points in the water-salt transport profile, and grids with local peaks in deep soil electrical conductivity data along the depth direction are marked as cumulative seed points in the water-salt transport profile. Spatial connectivity analysis was performed on the surface aggregation seed points, and based on the analysis results, the coverage areas of mutually adjacent and continuously distributed surface aggregation seed points were merged into the salinity surface aggregation area of ​​the target cultivated land area. By expanding the horizontal connectivity of the accumulated seed points, the salt accumulation zone of the target cultivated land area is obtained.

5. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, The speciation and concentration analysis of salt accumulation regions includes: Discrete point mapping is performed on the water-salt transport profile to obtain the spatial distribution lattice of salinity accumulation zones. Based on the spatially distributed point matrix, the boundary of the salt surface accumulation area is traced to obtain the outer contour line of the salt surface accumulation area. By measuring the closed region along the outer edge contour line, the spatial distribution range of the salt accumulation zone is obtained. Mathematical index analysis was performed on the soil electrical conductivity data of the salt accumulation zone to obtain the salt concentration of the salt accumulation zone.

6. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, Based on the analyzed spatial distribution range and salt concentration, water and salt balance adjustments are made in the target cultivated land area to obtain a cover-based leaching irrigation strategy for the target cultivated land area, including: Based on the spatial distribution range of salt accumulation zones, the target cultivated land area is divided into operation areas to obtain the coverage leaching operation area of ​​the target cultivated land area. Based on the salt concentration in the salt accumulation zone, combined with the field water holding capacity and water infiltration rate parameters of the soil layer below the salt accumulation zone, the expected leaching water depth of the salt accumulation zone is calculated. Spatial correlation compilation was performed on the coverage leaching operation area and the expected leaching water depth to obtain the coverage leaching irrigation execution parameters for the target cultivated land area; By integrating the time-series rules of the execution parameters of cover irrigation, a cover irrigation strategy for the target cultivated land area is obtained.

7. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 6, characterized in that, The formula for calculating the expected rinsing water depth is as follows: ； In the formula, To predict the rinsing water depth, This refers to the salt concentration in the salt accumulation zone. This is the soil bulk density of the underlying soil layer. The thickness of the salt accumulation zone. The salt concentration of the irrigation water. This is the preset rinsing efficiency coefficient. This represents the rate of water infiltration. Field water holding capacity, For the natural constant An exponential function with base 0.

8. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, Based on the regulated irrigation feedback data, a state evolution analysis is performed on the salinity accumulation zone at the bottom layer to obtain information on the peak salinity changes and depth location of the salinity accumulation zone, including: Extracting the time-series profile of the salt accumulation zone in the bottom layer of the irrigation feedback data after regulation; Vertical distribution characteristics of the time series profile were analyzed to locate the depth at which soil electrical conductivity exhibited extreme response in the salt accumulation zone at the bottom layer. The soil electrical conductivity values ​​and depth data at different depths are used as the instantaneous peak salinity and instantaneous peak depth in the salinity accumulation zone at the bottom layer. By analyzing the variation patterns of instantaneous peak salinity and instantaneous peak depth in chronological order, information on the variation of peak salinity and depth location in the bottom salt accumulation zone is obtained.

9. The water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic monitoring of wet salinity as described in claim 1, characterized in that, The method involves deep leaching correction of the cover-based leaching irrigation strategy based on salinity peak changes and depth location information, generating localized intensive drainage irrigation instructions for the target cultivated land area, including: When the rate of decay in the change of salinity peak is lower than the preset rinsing efficiency threshold, and the downward displacement in the depth location information does not reach the preset safe depth threshold, the operation type of the salinity bottom accumulation zone is determined to be a local forced drainage operation. During the localized intensive drainage operation, based on the attenuation amplitude in the change of salinity peak and the downward shift rate in the depth location information, the leaching water volume in the covering leaching irrigation strategy is allocated in a fixed increment to obtain the localized intensive drainage operation parameters for the salinity bottom accumulation zone. The parameters of localized intensive drainage operations are encoded as localized intensive drainage irrigation instructions for the target cultivated land area.

10. A water-saving, salinity-controlling, alkalization, and fertilization irrigation system based on dynamic monitoring of wet salinity, characterized in that, The system for implementing the water-saving, salinity-controlling, alkalization, and fertilization irrigation method based on dynamic wet salinity monitoring as described in claim 1 comprises: The dielectric parameter inversion module is used to invert the dielectric parameters of the target cultivated land area to obtain soil moisture content data and soil electrical conductivity data of the target cultivated land area. The water and salt profile construction module is used to overlay multi-layer raster data on soil moisture content and soil electrical conductivity data to construct a water and salt transport profile map of the target cultivated land area, so as to identify the salt surface accumulation area and the salt bottom accumulation area of ​​the target cultivated land area. The surface accumulation zone control module is used to analyze the speciation and concentration of salt in the surface accumulation zone, and based on the analyzed spatial distribution range and salt concentration, to adjust the water and salt balance of the target cultivated land area and obtain the coverage leaching irrigation strategy for the target cultivated land area. The instruction encoding and evolution analysis module is used to encode the cover-over-leaching irrigation strategy into drip irrigation control instructions for the target cultivated land area, and based on the controlled irrigation feedback data, to perform state evolution analysis on the salt bottom accumulation zone, and obtain the salt peak change and depth location information of the salt bottom accumulation zone. The deep leaching correction module is used to perform deep leaching correction on the cover leaching irrigation strategy based on the changes in salinity peak and depth location information, and generate local intensive drainage irrigation instructions for the target cultivated land area.

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