Method, device, equipment, medium and program for measuring water content of salinized soil body

Abstract

The invention relates to a method, a device and equipment for measuring the water content of a salinized soil body, a storage medium and a computer program, and the method comprises the following steps: generating the electric flux density and the volume fraction of component substances in a natural soil body one by one, and generating the apparent dielectric constant of the natural soil body according to the electric flux density and the volume fraction; generating a dielectric shape factor of the component substance, establishing an association relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant, determining a soil conductivity theoretical model of the natural soil according to the association relationship, and generating the conductivity of the component substance, establishing a relation model of the volume conductivity and the water content of the natural soil body according to the soil body conductivity theoretical model and the conductivity, and generating the water content of the to-be-measured soil body by utilizing the pre-acquired apparent dielectric constant of the to-be-measured soil body, the pre-acquired conductivity of the to-be-measured soil body and the relation model. The method can improve the efficiency of measuring the water content of the salinized soil body.

Description

Technical Field

[0001] The present disclosure relates to the technical field of soil moisture content measurement, and in particular to a method, device, equipment, storage medium and computer program for measuring the moisture content of salinized soil. Background Art

[0002] Water content is an important indicator of soil performance and has a profound impact on engineering activities, hydrometeorology, environmental governance, agricultural science and other fields. For example, in engineering activities, changes in soil water content will affect the strength, permeability and deformability of unsaturated soil, and thus affect the stability of buildings; in agricultural science, soil water is a key factor in crop growth. At present, the methods for measuring soil water content mainly include direct methods (such as drying methods) and indirect methods (such as dielectric constant measurement methods). Among them, the dielectric constant measurement method can continuously and non-destructively monitor changes in soil water content and has been widely used in practical engineering.

[0003] According to the different monitoring methods, the dielectric constant measurement method is divided into capacitance method, coaxial probe method, transmission line method, free space method and resonant cavity method. Among them, time domain reflectometry (TDR) and frequency domain reflectometry (FDR) are further developments based on the coaxial probe method. In salinized soil areas, due to the high ion concentration, the real apparent dielectric constant and conductivity of the soil cannot be obtained when using TDR instrument for measurement. Summary of the invention

[0004] The present invention provides a method, device, equipment, storage medium and computer program for determining the moisture content of salinized soil.

[0005] In a first aspect, the present disclosure provides a method for determining the water content of a salinized soil, comprising: generating the electric flux density of component substances in a natural soil one by one, and generating the volume fraction of the component substances according to the soil porosity and soil volume water content of the natural soil;

[0006] generating an apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction;

[0007] generating a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establishing a correlation relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant;

[0008] Determining a theoretical model of soil conductivity of the natural soil according to the correlation relationship, and generating the conductivity of the component substances;

[0009] A relationship model between the volume conductivity and the water content of the natural soil is established according to the soil conductivity theoretical model and the conductivity, and the water content of the soil to be tested is generated using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

[0010] In some embodiments, the step of generating the electric flux density of the component substances in the natural soil one by one and generating the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil comprises:

[0011] The electric flux density of the component materials in the natural soil is generated one by one using a preset electric flux density generation algorithm, wherein the component materials include: soil particles, soil solution and air, and the preset electric flux density generation algorithm is:

[0012] D=ε0ε r E

[0013] Where D is the electric flux density of the component material, ε0 is the vacuum dielectric constant, ε r is the relative dielectric constant of the component material, E is the electric field strength;

[0014] The volume fraction of the component substances is generated using a preset volume fraction generation algorithm, the soil porosity and the soil volume moisture content of the natural soil, wherein the preset volume fraction generation algorithm is:

[0015]

[0016] Among them, f s 、f w and f a are the volume fractions of the soil particles, the soil solution and the air respectively, n represents the soil porosity, and θ is the soil volume water content.

[0017] In some embodiments, generating the apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction includes:

[0018] The electric flux density and the volume fraction are superimposed using a preset superposition algorithm to obtain the apparent dielectric constant of the natural soil, wherein the preset superposition algorithm is:

[0019] K a =D s ·f s +D w ·f w +D a ·f a

[0020] Among them, K ais the apparent dielectric constant of the natural soil, D s , D w and D a are the electric flux densities of soil particles, soil solution and air in the natural soil, respectively, s 、f w and f a are the volume fractions of the soil particles, the soil solution and the air respectively.

[0021] In some embodiments, generating a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establishing a correlation between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant, comprises:

[0022] The dielectric shape factor of the component material is generated according to the relative dielectric constant of the component material, wherein the dielectric shape factor of the component material is:

[0023]

[0024] Among them, θ is the volumetric water content of the soil, n represents the porosity of the soil, and ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, S s , S w and S a are the dielectric shape factors of soil particles, soil solution and air in the natural soil, respectively;

[0025] The following correlation relationship between the apparent dielectric constant and the relative dielectric constant is established according to the dielectric shape factor and the apparent dielectric constant:

[0026]

[0027] Among them, K a is the apparent dielectric constant of the natural soil, θ is the volumetric water content of the soil, n represents the porosity of the soil, ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, respectively.

[0028] In some embodiments, determining the theoretical model of soil conductivity of the natural soil according to the association relationship to generate the conductivity of the component substances includes:

[0029] The soil conductivity theoretical model of the natural soil is determined according to the association relationship, wherein the soil conductivity theoretical model is:

[0030]

[0031] Among them, EC b is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, EC a is the air conductivity, θ is the soil volume moisture content, and n represents the soil porosity;

[0032] The electrical conductivity of the component substances is generated, wherein the electrical conductivity of the component substances is:

[0033]

[0034] Among them, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, EC a is the air conductivity, ε w is the relative dielectric constant of the soil solution in the natural soil, represents the apparent dielectric constant of the dry soil of the natural soil body, W clay Refers to the proportion of clay content in the natural soil.

[0035] In some embodiments, the step of establishing a relationship model between the volume conductivity and water content of the natural soil based on the soil conductivity theoretical model and the conductivity includes:

[0036] According to the soil conductivity theoretical model and the conductivity, the following relationship model between the volume conductivity and water content of natural soil is established:

[0037]

[0038] Among them, θ is the volumetric moisture content of the soil, K a is the apparent dielectric constant of the natural soil, n represents the porosity of the soil, ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, EC b is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, ε w is the relative dielectric constant of the soil solution in the natural soil, represents the apparent dielectric constant of the dry soil of the natural soil body, W clay It refers to the proportion of clay content in the natural soil, and n represents the porosity of the soil.

[0039] In a second aspect, the present disclosure provides a device for measuring water content of salinized soil, comprising:

[0040] A volume fraction generating module, used to generate the electric flux density of the component substances in the natural soil one by one, and generate the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil;

[0041] An apparent dielectric constant generating module, used for generating the apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction;

[0042] an association relationship determination module, configured to generate a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and to establish an association relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant;

[0043] A conductivity generation module, used to determine a soil conductivity theoretical model of the natural soil according to the association relationship, and generate the conductivity of the component material;

[0044] The moisture content generating module is used to establish a relationship model between the volume conductivity and the moisture content of the natural soil according to the soil conductivity theoretical model and the conductivity, and to generate the moisture content of the soil to be tested by using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

[0045] In a third aspect, the present disclosure provides a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method described in the above aspects.

[0046] In a fourth aspect, the present disclosure provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described in the above aspects when executed by a processor.

[0047] In a fifth aspect, the present disclosure provides a computer program product, including a computer program / instructions, which implements the steps of the method described in the above aspects when the computer program is executed by a processor.

[0048] Compared with the prior art, the above technical solution of the present invention has the following beneficial effects:

[0049] The embodiments of the present invention automatically calculate the key parameters such as the electric flux density, volume fraction, and apparent dielectric constant of the component substances through mathematical models and algorithms, which greatly reduces the time and labor intensity of traditional manual operations and improves the overall measurement efficiency. Secondly, by generating a dielectric shape factor and establishing a correlation between the apparent dielectric constant and the relative dielectric constant, it is possible to more accurately simulate and understand the influence of moisture in the soil, thereby improving the accuracy of soil moisture content measurement. At the same time, this method also combines the theoretical model of soil conductivity and the actual measured conductivity data to establish a relationship model between volume conductivity and moisture content. This combination of theory and actual measured data further enhances the applicability and reliability of the model. In addition, this method also allows continuous and non-continuous measurement. The damaged land monitors the changes in soil moisture content, which means that the dynamic changes in moisture content can be tracked in real time, which provides valuable data support for timely adjustment of engineering strategies or agricultural management. More importantly, the established model has strong adaptability and can adapt to different types of soils and different environmental conditions, so that the method can maintain high measurement efficiency and accuracy in different application scenarios. Through these advantages of automation, precise calculation, combination of theory and practice, continuous monitoring, strong adaptability, data-driven and technical support, the efficiency of soil moisture content measurement has been significantly improved. Therefore, the method, device, equipment and medium for measuring the moisture content of salinized soil proposed in the present invention can solve the problem of low efficiency in measuring the moisture content of salinized soil. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0051] Figure 1 The flowchart of the method for determining the water content of salinized soil according to the first embodiment of the present invention is shown;

[0052] FIG. 2( a ) shows a schematic diagram of a soil physical model of the first embodiment of the present invention. Figure 1 ;

[0053] FIG2( b ) shows a second schematic diagram of a soil physical model according to the first embodiment of the present invention;

[0054] FIG3( a ) shows a schematic diagram of a soil-water system under different water contents according to the first embodiment of the present invention;

[0055] FIG3( b ) shows a schematic diagram of the shapes of soil particles and air according to the first embodiment of the present invention;

[0056] Figure 4 A schematic diagram of volumetric water content of Example 1 of the present invention is shown;

[0057] Figure 5 A schematic diagram of soil moisture content prediction value according to the first embodiment of the present invention is shown;

[0058] Figure 6 A functional module diagram of a device for measuring water content in salinized soil according to a second embodiment of the present invention is shown;

[0059] Figure 7 A schematic diagram of the composition structure of an electronic device for implementing the method for measuring the moisture content of salinized soil according to the third embodiment of the present invention is shown. DETAILED DESCRIPTION

[0060] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, and to fully understand and implement how the present disclosure applies technical means to solve technical problems and achieve the corresponding technical effects, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only embodiments of a part of the present disclosure, not all of the embodiments. The embodiments of the present disclosure and the various features in the embodiments can be combined with each other without conflict, and the technical solutions formed are all within the scope of protection of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present disclosure.

[0061] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0062] Embodiment 1

[0063] Figure 1 The following is a flow chart of a method for determining the water content of salinized soil provided in an embodiment of the present disclosure. Figure 1 As shown, a smart device control method includes:

[0064] S1. Generate the electric flux density of the component substances in the natural soil one by one, and generate the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil.

[0065] In the embodiment of the present invention, the step of generating the electric flux density of the component substances in the natural soil one by one and generating the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil includes:

[0066] The electric flux density of the component materials in the natural soil is generated one by one using a preset electric flux density generation algorithm, wherein the component materials include: soil particles, soil solution and air, and the preset electric flux density generation algorithm is:

[0067] D=ε0ε r E

[0068] Where D is the electric flux density of the component material, ε0 is the vacuum dielectric constant, ε r is the relative dielectric constant of the component material, E is the electric field strength;

[0069] The volume fraction of the component substances is generated using a preset volume fraction generation algorithm, the soil porosity and the soil volume moisture content of the natural soil, wherein the preset volume fraction generation algorithm is:

[0070]

[0071] Among them, f s 、f w and f a are the volume fractions of the soil particles, the soil solution and the air respectively, n represents the soil porosity, and θ is the soil volume water content.

[0072] In detail, the relationship between the electric displacement generated by the dielectric under the excitation of an external electromagnetic field and the electric field strength inside the dielectric can be expressed by the following formula:

[0073] D=ε0ε r E (1)

[0074] Where D is called the electric flux density or electric displacement, ε0 is the vacuum dielectric constant, and ε r is the relative dielectric constant of the medium, E is the electric field intensity;

[0075] In detail, the soil-water system is a mixed dielectric system composed of soil particles, soil solution and air, as shown in Figure 2(a) and Figure 2(b) for the schematic diagram of the soil physical model. The macroscopic electrical response characteristics of the soil under the action of an external electromagnetic field are jointly controlled by the dielectric properties of each component material, and the apparent dielectric constant K of the soil is used. a To describe the macroscopic dielectric properties of the soil-water system, the relative dielectric constant of the dielectric in equation (1) is replaced by the apparent dielectric constant of the soil:

[0076] D=ε0K a E (2)

[0077] In detail, considering the macroscopic electrical response characteristics of soil particles in the soil-water system under the action of an external electromagnetic field, the relationship between the electric flux density and the electric field intensity corresponding to the soil particles can be expressed as:

[0078] D s =ε0ε s E s (3)

[0079] Where Ds is the electric flux density corresponding to the soil particle medium, ε s is the relative dielectric constant of soil particles, E s is the electric field strength inside the dielectric of soil particles.

[0080] In detail, considering the macroscopic electrical response characteristics of the soil solution in the soil-water system under the action of an external electromagnetic field, the relationship between the electric flux density and the electric field intensity corresponding to the soil solution can be expressed as:

[0081] D w =ε0ε w E w (4)

[0082] Where D w is the electric displacement of the soil solution, ε w is the relative dielectric constant of the soil solution, E w is the electric field strength in the soil solution;

[0083] In detail, considering the macroscopic electrical response characteristics of air in the soil-water system under the action of an external electromagnetic field, the relationship between the electric flux density and the electric field intensity corresponding to the air can be expressed as:

[0084] D a =ε0ε a E a (5)

[0085] Where D a is the electric displacement of air, ε a is the relative dielectric constant of air, E a is the electric field strength in the air dielectric.

[0086] S2. Generate an apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction.

[0087] In an embodiment of the present invention, generating the apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction includes:

[0088] The electric flux density and the volume fraction are superimposed using a preset superposition algorithm to obtain the apparent dielectric constant of the natural soil, wherein the preset superposition algorithm is:

[0089] K a =D s ·f s +D w ·f w +D a ·f a

[0090] Among them, K ais the apparent dielectric constant of the natural soil, D s , D w and D a are the electric flux densities of soil particles, soil solution and air in the natural soil, respectively, s 、f w and f a are the volume fractions of the soil particles, the soil solution and the air respectively.

[0091] Specifically, let the total volume of the soil-water system be V, and the volumes of soil particles, soil solution, and air be V, respectively. s 、V w and V a , according to the relationship between the various components of the soil, we can get:

[0092] f s =1-n (6)

[0093] f w =θ (7)

[0094] f a =n-θ (8)

[0095] In the formula, f s 、f w and f a are the volume fractions of soil particles, soil solution and air respectively, n represents the soil porosity, and θ is the soil volume water content.

[0096] Furthermore, the contributions of soil particles, soil solution and air to the electric flux density of the soil-water system can be expressed as D s ·f s , D w ·f w With D a ·f a According to the superposition principle, the macroscopic electric displacement of the soil-water system can be expressed as:

[0097] D=D s ·f s +D w ·f w +D a ·f a (9)

[0098] Substituting formulas (2) to (8) into equation (9) yields:

[0099]

[0100] remember and For S s , S w and Sa , substituting into (10), we can obtain the relationship between the apparent dielectric constant of natural soil and the dielectric shape factor of each component material:

[0101]

[0102] In the formula, f i , ε i Respectively represent the volume fraction and relative dielectric constant of each component in the soil; S i It is called the dielectric form factor.

[0103] S3. Generate a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establish a correlation relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant.

[0104] In an embodiment of the present invention, generating a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establishing a correlation relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant, includes:

[0105] The dielectric shape factor of the component material is generated according to the relative dielectric constant of the component material, wherein the dielectric shape factor of the component material is:

[0106]

[0107] Among them, θ is the volumetric water content of the soil, n represents the porosity of the soil, and ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, S s , S w and S a are the dielectric shape factors of soil particles, soil solution and air in the natural soil, respectively;

[0108] The following correlation relationship between the apparent dielectric constant and the relative dielectric constant is established according to the dielectric shape factor and the apparent dielectric constant:

[0109]

[0110] Among them, K a is the apparent dielectric constant of the natural soil, θ is the volumetric water content of the soil, n represents the porosity of the soil, ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, respectively.

[0111] In detail, according to the Maxwell-Wagner interface polarization theory:

[0112]

[0113] In the formula, a, b, and c represent the three axes in the ellipsoidal coordinate system, ε * is the relative dielectric constant of the material surrounding the microscopic particle, g j is the depolarization factor corresponding to each axis in the ellipsoidal coordinate system.

[0114] In detail, the Laplace equation of the potential is solved in the ellipsoidal coordinate system by the electrostatic method to obtain:

[0115]

[0116] And it is easy to prove:

[0117] g a +g b +g c =1 (16)

[0118] In detail, it is assumed that the soil particles are spherical. When the soil is saturated, the soil particles are filled with soil solution. When the soil is unsaturated, some soil particles are surrounded by air and some are surrounded by soil solution. When the soil particles are completely dry, the soil particles are filled with air, as shown in Figure 3(a) for the schematic diagram of the soil-water system under different water contents. The soil particles in the soil-water system are regarded as spherical non-continuous media, as shown in Figure 3(b) for the schematic diagram of the shapes of soil particles and air. Assuming that the soil particles exist in the soil-water system in a spherical shape, then:

[0119] a=b=c (17)

[0120] Substituting the limiting conditions of equation (17) into equations (13) to (16), we can obtain the depolarization factors of the three axes of soil particles in the soil-water system in the ellipsoidal coordinate system:

[0121]

[0122] For soil particles, when the soil is saturated, ε * =ε w , when the soil is completely dry * =ε a , the relative dielectric constant of the material surrounding the soil particles can be obtained:

[0123]

[0124] In the formula, ε *,soil is the relative permittivity of the material surrounding the soil particles.

[0125] Substituting equations (18) and (19) into equation (12), we can obtain:

[0126]

[0127] In the formula, S s is the dielectric shape factor of soil particles in the soil-water system.

[0128] In detail, considering the soil solution in the soil-water system as a continuous medium in the soil, then:

[0129] ε *,water =ε w (twenty one)

[0130] In the formula, ε *,water is the relative dielectric constant of the material surrounding the soil solution.

[0131] Substituting (21) into (12), we can obtain:

[0132] S w =1 (22)

[0133] In the formula, S w is the dielectric shape factor of the soil solution in the soil-water system.

[0134] In detail, the air in the soil-water system is regarded as a spherical discontinuous medium, as shown in Figure 3(a) for a schematic diagram of the soil-water system at different water contents. Assuming that the air exists in the soil-water system in the form of spherical bubbles, it is easy to know that the depolarization factors of the three axes of the air in the soil-water system in the ellipsoidal coordinate system are When the soil changes from saturated to dry state, the medium surrounding the air molecules changes from soil solution to air molecules, and the relative dielectric constant of the material surrounding the air is:

[0135]

[0136] In the formula, ε *,air is the relative permittivity of the material surrounding the soil particles.

[0137] Substituting (23) into (12), we can obtain:

[0138]

[0139] In the formula, S a is the dielectric shape factor of air in the soil-water system.

[0140] In detail, substituting equations (20), (22), and (24) into equation (11), we can obtain the relationship between the apparent dielectric constant of the soil and the relative dielectric constant of each component:

[0141]

[0142] S4. Determine a theoretical model of the soil conductivity of the natural soil according to the association relationship, and generate the conductivity of the component substances.

[0143] In the embodiment of the present invention, determining the theoretical model of soil conductivity of the natural soil according to the association relationship and generating the conductivity of the component substances includes:

[0144] The soil conductivity theoretical model of the natural soil is determined according to the association relationship, wherein the soil conductivity theoretical model is:

[0145]

[0146] Among them, EC b is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, EC a is the air conductivity, θ is the soil volume moisture content, and n represents the soil porosity;

[0147] The electrical conductivity of the component substances is generated, wherein the electrical conductivity of the component substances is:

[0148]

[0149] Among them, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, EC a is the air conductivity, ε w is the relative dielectric constant of the soil solution in the natural soil, represents the apparent dielectric constant of the dry soil of the natural soil body, W clay Refers to the proportion of clay content in the natural soil.

[0150] In detail, the diffusion behavior of microscopic particles to electromagnetic waves under the excitation of an external electromagnetic field is also applicable to describing the relationship between the electrical conductivity EC, magnetic permeability μ, etc. of each component material and the macroscopic electromagnetic properties of the mixed dielectric system. Existing studies have replaced the relative dielectric constant of each component material in the theoretical model of soil dielectric constant with the corresponding conductivity. Therefore, the relative dielectric constant of each component material in formula (25) is replaced with the corresponding conductivity to obtain the theoretical model of soil conductivity:

[0151]

[0152] In the formula, EC b is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, ECa is the air conductivity.

[0153] In detail, if the air in the soil-water system is regarded as an insulating material with good insulation properties, then:

[0154] EC a =0 (27)

[0155] In detail, the soil dielectric is regarded as a loss capacitor and the apparent dielectric constant K of the soil is established. a , volume conductivity EC b and soil solution electrical conductivity EC w Relationship:

[0156]

[0157] In the formula, represents the apparent dielectric constant of dry soil, This can be determined by consulting the geological radar manual or related books.

[0158] In detail, the soil particle conductivity is obtained by the following formula:

[0159] EC s =23·W clay -20.9 (29)

[0160] Where W clay Refers to the proportion of clay content in the soil.

[0161] S5. A relationship model between the volume conductivity and the water content of the natural soil is established according to the soil conductivity theoretical model and the conductivity, and the water content of the soil to be tested is generated using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

[0162] In an embodiment of the present invention, the relationship model between the volume conductivity and the water content of the natural soil is established according to the soil conductivity theoretical model and the conductivity, including:

[0163] According to the soil conductivity theoretical model and the conductivity, the following relationship model between the volume conductivity and water content of natural soil is established:

[0164]

[0165] Among them, θ is the volumetric moisture content of the soil, K a is the apparent dielectric constant of the natural soil, n represents the porosity of the soil, ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, ECb is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, ε w is the relative dielectric constant of the soil solution in the natural soil, represents the apparent dielectric constant of the dry soil of the natural soil body, W clay It refers to the proportion of clay content in the natural soil, and n represents the porosity of the soil.

[0166] In detail, see Figure 4 As shown, a relationship model between the volume conductivity and water content of the natural soil is established, and a relationship model between the apparent dielectric constant and water content of the natural soil is established.

[0167] In detail, the generated EC a ,EC w Substituting into (26), we get:

[0168]

[0169] In detail, by transforming equation (30), we can obtain the relationship between the volume conductivity and water content of natural soil:

[0170]

[0171] Where θ is the volumetric moisture content of natural soil.

[0172] Further, Figure 5 As shown, the apparent dielectric constant K of natural soil is measured using FDR instrument a and volume conductivity, and the measured value is substituted into formula (31) to obtain the moisture content in the salinized soil under the corresponding working condition.

[0173] Embodiment 2

[0174] like Figure 6 As shown, this embodiment also provides a functional module diagram of a device for measuring the moisture content of salinized soil.

[0175] The device 100 for measuring the moisture content of salinized soil described in this embodiment can be installed in an electronic device. According to the functions to be implemented, the device 100 for measuring the moisture content of salinized soil can include a volume fraction generation module 101, an apparent dielectric constant generation module 102, an association determination module 103, a conductivity generation module 104, and a moisture content generation module 105. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0176] In this embodiment, the functions of each module / unit are as follows:

[0177] The volume fraction generating module 101 is used to generate the electric flux density of the component substances in the natural soil one by one, and generate the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil;

[0178] The apparent dielectric constant generating module 102 is used to generate the apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction;

[0179] The association relationship determination module 103 is used to generate a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establish an association relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant;

[0180] The conductivity generation module 104 is used to determine the soil conductivity theoretical model of the natural soil according to the association relationship, and generate the conductivity of the component material;

[0181] The moisture content generating module 105 is used to establish a relationship model between the volume conductivity and the moisture content of the natural soil according to the soil conductivity theoretical model and the conductivity, and to generate the moisture content of the soil to be tested by using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

[0182] In detail, each module described in the salinized soil moisture content measuring device 100 described in the embodiment of the present invention adopts the same technical means as the salinized soil moisture content measuring method described in Example 1 and Example 2 when in use, and can produce the same technical effect, which will not be repeated here.

[0183] Embodiment 3

[0184] like Figure 7 As shown, this embodiment also provides a computer electronic device, which may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for determining the moisture content of salinized soil.

[0185] In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor 10 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (for example, executing a program for determining the water content of salinized soil, etc.), and calls data stored in the memory 11 to execute various functions of the electronic device and process data.

[0186] The memory 11 includes at least one type of medium, including flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 can also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory 11 can also include both an internal storage unit of the electronic device and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device, such as the code of the water content determination program of salinized soil, etc., but also can be used to temporarily store data that has been output or is to be output.

[0187] The communication bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0188] The communication interface 13 is used for communication between the above-mentioned electronic device and other electronic devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0189] The figure only shows an electronic device with components. Those skilled in the art will understand that the structure shown in the figure does not constitute a limitation on the electronic device, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0190] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0191] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0192] The salinized soil moisture content determination program stored in the memory 11 in the electronic device is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0193] Generating the electric flux density of the component substances in the natural soil one by one, and generating the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil;

[0194] generating an apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction;

[0195] generating a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establishing a correlation relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant;

[0196] Determining a theoretical model of soil conductivity of the natural soil according to the correlation relationship, and generating the conductivity of the component substances;

[0197] A relationship model between the volume conductivity and the water content of the natural soil is established according to the soil conductivity theoretical model and the conductivity, and the water content of the soil to be tested is generated using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

[0198] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0199] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a medium. The medium can be volatile or non-volatile. For example, the medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0200] Embodiment 4

[0201] This embodiment provides a medium storing a computer program. When the computer program is executed by a processor, the steps of the method for determining the moisture content of salinized soil as described above are implemented.

[0202] These program codes can also be loaded onto a computer or other programmable data processing device so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 The steps of a specified function in a process or multiple processes.

[0203] The medium includes permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, modules of programs or other data. Examples of media can include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0204] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. When the terms "include" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or their combinations.

[0205] It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or described herein.

[0206] In the several embodiments provided by the present invention, it should be understood that the disclosed electronic devices, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0207] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0208] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0209] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0210] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) 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 knowledge to obtain the best results.

[0211] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for determining the water content of salinized soil, characterized in that: include: Generating the electric flux density of the component substances in the natural soil one by one, and generating the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil; generating an apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction; generating a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establishing a correlation relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant; Determining a theoretical model of soil conductivity of the natural soil according to the correlation relationship, and generating the conductivity of the component substances; A relationship model between the volume conductivity and the water content of the natural soil is established according to the soil conductivity theoretical model and the conductivity, and the water content of the soil to be tested is generated using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

2. The method according to claim 1, characterized in that The step of generating the electric flux density of the component substances in the natural soil one by one and generating the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil comprises: The electric flux density of the component materials in the natural soil is generated one by one using a preset electric flux density generation algorithm, wherein the component materials include: soil particles, soil solution and air, and the preset electric flux density generation algorithm is: D=ε0ε r E Where D is the electric flux density of the component material, ε0 is the vacuum dielectric constant, ε r is the relative dielectric constant of the component material, E is the electric field strength; The volume fraction of the component substances is generated using a preset volume fraction generation algorithm, the soil porosity and the soil volume moisture content of the natural soil, wherein the preset volume fraction generation algorithm is: Among them, f s 、f w and f a are the volume fractions of the soil particles, the soil solution and the air respectively, n represents the soil porosity, and θ is the soil volume water content.

3. The method according to claim 2, characterized in that Generating the apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction comprises: The electric flux density and the volume fraction are superimposed using a preset superposition algorithm to obtain the apparent dielectric constant of the natural soil, wherein the preset superposition algorithm is: K a =D s ·f s +D w ·f w +D a ·f a Among them, K a is the apparent dielectric constant of the natural soil, D s , D w and D a are the electric flux densities of soil particles, soil solution and air in the natural soil, respectively, s 、f w and f a are the volume fractions of the soil particles, the soil solution and the air respectively.

4. The method according to claim 1, characterized in that: The step of generating a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and establishing a correlation between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant, comprises: The dielectric shape factor of the component material is generated according to the relative dielectric constant of the component material, wherein the dielectric shape factor of the component material is: Among them, θ is the volumetric water content of the soil, n represents the porosity of the soil, and ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, S s , S w and S a are the dielectric shape factors of soil particles, soil solution and air in the natural soil, respectively; The following correlation relationship between the apparent dielectric constant and the relative dielectric constant is established according to the dielectric shape factor and the apparent dielectric constant: Among them, K a is the apparent dielectric constant of the natural soil, θ is the volumetric water content of the soil, n represents the porosity of the soil, ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, respectively.

5. The method according to claim 1, characterized in that Determining the theoretical model of soil conductivity of the natural soil according to the association relationship to generate the conductivity of the component substances includes: The soil conductivity theoretical model of the natural soil is determined according to the association relationship, wherein the soil conductivity theoretical model is: Among them, EC b is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, EC a is the air conductivity, θ is the soil volume moisture content, and n represents the soil porosity; The electrical conductivity of the component substances is generated, wherein the electrical conductivity of the component substances is: Among them, EC s is the electrical conductivity of soil particles, EC w is the electrical conductivity of the soil solution, EC a is the air conductivity, ε w is the relative dielectric constant of the soil solution in the natural soil, represents the apparent dielectric constant of the dry soil of the natural soil body, W clay Refers to the proportion of clay content in the natural soil.

6. The method according to claim 5, characterized in that The method of establishing a relationship model between the volume conductivity and water content of the natural soil according to the soil conductivity theoretical model and the conductivity includes: According to the soil conductivity theoretical model and the conductivity, the following relationship model between the volume conductivity and water content of natural soil is established: Among them, θ is the volumetric moisture content of the soil, K a is the apparent dielectric constant of the natural soil, n represents the porosity of the soil, ε s , ε w and ε a are the relative dielectric constants of soil particles, soil solution and air in the natural soil, EC b is the soil bulk conductivity, EC s is the electrical conductivity of soil particles, ε w is the relative dielectric constant of the soil solution in the natural soil, represents the apparent dielectric constant of the dry soil of the natural soil body, W clay It refers to the proportion of clay content in the natural soil, and n represents the porosity of the soil.

7. A device for measuring water content of salinized soil, characterized in that: include: A volume fraction generating module, used to generate the electric flux density of the component substances in the natural soil one by one, and generate the volume fraction of the component substances according to the soil porosity and soil volume moisture content of the natural soil; An apparent dielectric constant generating module, used for generating the apparent dielectric constant of the natural soil according to the electric flux density and the volume fraction; an association relationship determination module, configured to generate a dielectric shape factor of the component material according to the relative dielectric constant of the component material, and to establish an association relationship between the apparent dielectric constant and the relative dielectric constant according to the dielectric shape factor and the apparent dielectric constant; A conductivity generation module, used to determine a soil conductivity theoretical model of the natural soil according to the association relationship, and generate the conductivity of the component material; The moisture content generating module is used to establish a relationship model between the volume conductivity and the moisture content of the natural soil according to the soil conductivity theoretical model and the conductivity, and to generate the moisture content of the soil to be tested by using the pre-acquired apparent dielectric constant of the soil to be tested, the pre-acquired conductivity of the soil to be tested and the relationship model.

8. A computer device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

Images