Soil ecological function assessment method and system based on soil environment big data

Abstract

The invention discloses a soil ecological function assessment method and system based on soil environment big data, and relates to the technical field of ecological function assessment, and the system comprises a soil sampling module, a sampling point soil model construction module, a soil model function analysis module and a soil ecological function assessment module. A soil sampling module and a sampling point soil model building module are arranged, a plurality of soil sampling points are arranged in a target soil area, it can be ensured that collected soil data can comprehensively reflect the characteristics of the target soil area, and a soil model of each soil sampling point is built; according to the method, a soil model function analysis module and a soil ecological function evaluation module are arranged, simulation of various ecological treatment functions is carried out on a soil model of each soil sampling point, and the ecological treatment function of soil in each soil sampling point is deeply evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological function assessment, and more specifically, it relates to a method and system for soil ecological function assessment based on soil environment big data. Background Art

[0002] As an important part of soil quality, soil ecological functions not only affect soil productivity and fertility, but also are directly related to the stability of the ecosystem and human health. Therefore, the accurate assessment of soil ecological functions has become an important topic in current soil science research.

[0003] Traditional methods for soil ecological function assessment mainly rely on laboratory analysis and field observations. Although these methods can provide certain soil ecological function information, they have problems such as long assessment cycles, high costs, and insufficient data representativeness. At the same time, due to the complexity and dynamics of the soil ecosystem, traditional methods often have difficulty in comprehensively and accurately reflecting the true state of soil ecological functions.

[0004] In recent years, with the rapid development of information technology, especially the wide application of technologies such as big data and cloud computing, new ideas and methods have been provided for soil ecological function assessment. By collecting and analyzing a large amount of soil environment data, the internal laws and changing trends of soil ecological functions can be revealed, providing strong support for the scientific assessment of soil ecological functions. However, how to effectively integrate and utilize these big data resources to build a scientific and systematic soil ecological function assessment method and system remains an important challenge currently faced.

[0005] Therefore, the present invention proposes a method and system for soil ecological function assessment based on soil environment big data. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a method and system for soil ecological function assessment based on soil environment big data.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] A soil ecological function assessment system based on soil environment big data, including a soil sampling module, a soil model construction module for sampling points, a soil model function analysis module, and a soil ecological function assessment module;

[0009] The soil sampling module is used to set a plurality of soil sampling points in a matrix in the target soil area and regularly obtain the physical, chemical, and biological data sets of each soil sampling point;

[0010] The soil model construction module for sampling points is used to construct a soil model based on each soil sampling point;

[0011] The soil model function analysis module obtains the ecological treatment function index of each soil sampling point based on the soil models of each soil sampling point, and further obtains the ecological function evaluation index of the target soil area.

[0012] The soil ecological function evaluation module determines the ecological function evaluation level of the target soil area according to the ecological function evaluation index.

[0013] Further, the method for obtaining the physical, chemical and biological data set of the soil sampling point is as follows: Regularly collect various basic soil data of a soil sampling point, and combine the various basic soil data into a physical, chemical and biological data set in the form of a data set.

[0014] Further, the method for constructing the soil model of the soil sampling point is as follows: Select the Hydrus simulation software, create a soil entity in the simulation software, and add corresponding parameters to the soil entity based on the physical, chemical and biological data set of a soil sampling point, so as to construct the soil model of the soil sampling point.

[0015] Further, the method for obtaining the ecological treatment function index of the soil sampling point is as follows: Obtain the soil model of a soil sampling point, and further obtain the ecological treatment index Bgv of the soil model for various ecological treatment functions, where g = 1, 2, …, G, g is the type number of the ecological treatment function, and G is the total number of types of ecological treatment functions. Set the ecological treatment coefficient as hv, where v = 1, 2, …, v, h1 < h2 < h3 < … < hv. Set the ecological treatment threshold index. When the ecological treatment index of the ecological treatment function is greater than the ecological treatment threshold index, mark this type of ecological treatment function as a positive ecological function, and mark the total number of positive ecological functions as Ndt. Use the formula to obtain the ecological treatment function index Tsw of the soil sampling point.

[0016] Further, the method for obtaining the ecological treatment index of the soil model for an ecological treatment function is as follows: Obtain the corresponding parameters involved in an ecological treatment function, input the corresponding parameters involved in the ecological treatment function into the soil model, and the soil model performs T ecology duration of simulation. After the simulation time ends, collect various data involved in the ecological treatment function in the soil model, extract the features of the various data and combine them into the soil data feature set of this ecological treatment function, obtain the feature evaluation model of this ecological treatment function, use the soil data feature set as the input data of the feature evaluation model, and the feature evaluation model outputs to obtain the ecological treatment index.

[0017] Further, the method for obtaining the ecological function evaluation index of the target soil area is as follows: Combine every two adjacent soil sampling points into an ecological point correlation group, obtain the ecological correlation comparison index of each ecological point correlation group, sum up the ecological correlation comparison indexes of all ecological point correlation groups and take the average value to obtain the comprehensive ecological correlation comparison index Sda. Set the ecological treatment function threshold index. When the ecological treatment function index of a soil sampling point is less than or equal to the ecological treatment function threshold index, mark this soil sampling point as a negative sampling point. Compare all negative sampling points pairwise, calculate the distance difference between the two compared negative sampling points to obtain the negative sampling spacing. Set the standard negative sampling spacing. When the negative sampling spacing is greater than the standard negative sampling spacing, increase the negative sampling dispersion quantity by one, and mark the negative sampling dispersion quantity as Spzb. When the negative sampling spacing is less than or equal to the standard negative sampling spacing, increase the negative sampling concentration quantity by one, and mark the negative sampling concentration quantity as Fwsy. Use the formula to obtain the ecological function evaluation index Kqtp of the target soil area, where u1 is the comprehensive ecological correlation comparison coefficient, u2 is the negative sampling dispersion quantity coefficient, and u3 is the negative sampling concentration quantity coefficient.

[0018] Further, the method for obtaining the ecological correlation comparison index of the ecological point correlation group is as follows: Sum up and take the average value of the ecological treatment function indexes of the two soil sampling points in the ecological point correlation group to obtain the comprehensive ecological function index Ykm. Calculate the difference between the ecological treatment function indexes of the two soil sampling points in the ecological point correlation group and take the absolute value to obtain the ecological function difference index Tvx. Use the formula to obtain the ecological correlation comparison index of this ecological point correlation group, where ba is the function difference auxiliary coefficient.

[0019] Further, a method for evaluating the soil ecological function based on soil environment big data includes the following steps:

[0020] Step 1: Set multiple soil sampling points in a matrix in the target soil area, and regularly obtain the physical, chemical, and biological data sets of each soil sampling point;

[0021] Step 2: Construct a soil model based on each soil sampling point;

[0022] Step 3: Based on the soil models of each soil sampling point, obtain the ecological treatment function index of each soil sampling point, and further obtain the ecological function evaluation index of the target soil area;

[0023] Step 4: Determine the ecological function evaluation level of the target soil area according to the ecological function evaluation index.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. The method of the present invention can perform correlation and comparative analysis on the ecological function performance of soil sampling points in the target soil area, and then accurately evaluate the level of the soil ecological function of the target soil area, which helps to intuitively understand the ecological function status of the target soil area;

[0026] 2. Set up a soil sampling module and a sampling point soil model construction module. By setting multiple soil sampling points in the target soil area, it can ensure that the collected soil data can comprehensively reflect the characteristics of the target soil area, and construct a soil model for each soil sampling point, which is convenient for further understanding the ecological function of the target soil area in the follow-up. Set up a soil model function analysis module and a soil ecological function evaluation module to simulate various ecological treatment functions of the soil model of each soil sampling point, and deeply evaluate the ecological treatment function of the soil in each soil sampling point. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a method flow chart of a soil ecological function evaluation method based on soil environment big data;

[0028] Figure 2 It is a system module diagram of a soil ecological function evaluation system based on soil environment big data;

[0029] Figure 3 It is a flowchart for obtaining the ecological treatment index of an ecological treatment function. DETAILED DESCRIPTION OF THE INVENTION

[0030] Example 1: Refer to Figure 1 , a soil ecological function evaluation method based on soil environment big data, includes the following steps:

[0031] Step 1: Set multiple soil sampling points in a matrix in the target soil area, and regularly obtain the physical, chemical and biological data sets of each soil sampling point.

[0032] Step 2: Construct a soil model based on each soil sampling point.

[0033] Step 3: Based on the soil model of each soil sampling point, obtain the ecological treatment function index of each soil sampling point, and then obtain the ecological function evaluation index of the target soil area.

[0034] Step 4: Determine the ecological function evaluation level of the target soil area according to the ecological function evaluation index.

[0035] The above method can perform correlation and comparative analysis on the ecological function performance of soil sampling points in the target soil area, and then accurately evaluate the level of the soil ecological function of the target soil area, which helps to intuitively understand the ecological function status of the target soil area.

[0036] Example 2: Refer to Figures 2 - 3 , a soil ecological function assessment system based on soil environment big data, including a soil sampling module, a soil model construction module for sampling points, a soil model function analysis module, and a soil ecological function assessment module.

[0037] Soil sampling module: A plurality of soil sampling points are arranged in a matrix in the target soil area, and the physical, chemical, and biological data sets of each soil sampling point are obtained regularly.

[0038] The method for obtaining the physical, chemical, and biological data sets of the soil sampling points is as follows: Regularly collect various basic soil data of a soil sampling point (the basic soil data includes soil texture data, soil structure data, soil moisture content data, soil temperature data, soil nutrient content data, soil pH value, soil heavy metal content, microbial community structure, enzyme activity, etc., and is composed of physical property data, chemical property data, biological property data, etc. of the soil), and combine various basic soil data into a physical, chemical, and biological data set in the form of a data set.

[0039] Soil model construction module for sampling points: Construct a soil model based on each soil sampling point.

[0040] The method for constructing the soil model of the soil sampling point is as follows: Select Hydrus simulation software, create a soil entity in the simulation software, and add corresponding parameters (the corresponding parameters include soil texture number, soil structure, soil moisture, etc.) to the soil entity based on the physical, chemical, and biological data set of a soil sampling point, and then construct the soil model of the soil sampling point.

[0041] Setting the soil sampling module and the soil model construction module for sampling points, and setting a plurality of soil sampling points in the target soil area can ensure that the collected soil data can comprehensively reflect the characteristics of the target soil area, and construct the soil model of each soil sampling point, which is convenient for further understanding the ecological function of the target soil area.

[0042] Soil model function analysis module: Based on the soil models of each soil sampling point, obtain the ecological treatment function index of each soil sampling point. Combine every two adjacent soil sampling points into an ecological point association group, obtain the ecological association comparison index of each ecological point association group, sum up the ecological association comparison indexes of all ecological point association groups and take the average value to obtain the comprehensive ecological association comparison index Sda. Set the ecological treatment function threshold index (the ecological treatment function threshold index is a system-preset index). When the ecological treatment function index of a soil sampling point is greater than the ecological treatment function threshold index, no treatment is performed. When the ecological treatment function index of a soil sampling point is less than or equal to the ecological treatment function threshold index, mark this soil sampling point as a negative sampling point. Compare all negative sampling points pairwise, calculate the distance difference between the two compared negative sampling points to obtain the negative sampling distance. Set the negative sampling standard distance (the negative sampling standard distance is a system-preset distance). When the negative sampling distance is greater than the negative sampling standard distance, increase the negative sampling dispersion quantity by one, and mark the negative sampling dispersion quantity as Spzb. When the negative sampling distance is less than or equal to the negative sampling standard distance, increase the negative sampling concentration quantity by one, and mark the negative sampling concentration quantity as Fwsy. Use the formula Obtain the ecological function evaluation index Kqtp of the target soil area, where u1 is the comprehensive ecological association comparison coefficient, u2 is the negative sampling dispersion quantity coefficient, u3 is the negative sampling concentration quantity coefficient. The value of u1 is 0.92, the value of u2 is 0.63, and the value of u3 is 0.56.

[0043] The method for obtaining the ecological association comparison index of the ecological point association group is as follows: Sum up and take the average value of the ecological treatment function indexes of the two soil sampling points in the ecological point association group to obtain the comprehensive ecological function index Ykm. Calculate the difference between the ecological treatment function indexes of the two soil sampling points in the ecological point association group and take the absolute value to obtain the ecological function difference index Tvx. Use the formula Obtain the ecological association comparison index of this ecological point association group, where ba is the function difference auxiliary coefficient, and the value of ba is 0.85.

[0044] The method for obtaining the ecological treatment function index of a soil sampling point is as follows: Obtain the soil model of a soil sampling point, and then obtain the ecological treatment index Bgv of the soil model for various ecological treatment functions (the ecological treatment functions include multiple types, including but not limited to biodegradation function, heavy metal precipitation function, etc.), where g = 1, 2, …, G, g is the type number of the ecological treatment function, and G is the total number of types of ecological treatment functions. Set the ecological treatment coefficient as hv, where v = 1, 2, …, v, and h1 < h2 < h3 < … < hv. Each ecological treatment coefficient corresponds to a range of ecological treatment indexes, and the ranges of the ecological treatment indexes include (0, Bg1], (Bg1, Bg2], …, (Bgv - 1, Bgv]. When Bgv ∈ (0, Bg1]], the ecological treatment coefficient is h1. Set the ecological treatment threshold index (the ecological treatment threshold index is a system - preset index). When the ecological treatment index of an ecological treatment function is greater than the ecological treatment threshold index, mark this ecological treatment function as a positive ecological function. When the ecological treatment index of an ecological treatment function is less than or equal to the ecological treatment threshold index, do not make any treatment. Mark the total number of positive ecological functions as Ndt, and use the formula to obtain the ecological treatment function index Tsw of this soil sampling point.

[0045] The method for obtaining the ecological treatment index of a soil model for an ecological treatment function is as follows: Obtain the corresponding parameters involved in an ecological treatment function (taking the biodegradation function as an example, the corresponding parameters involved in the biodegradation function include the volume of the pollutant, the physical state of the pollutant, the chemical composition of the pollutant, etc. Taking the heavy metal precipitation function as an example, the corresponding parameters involved in the heavy metal precipitation function include the chemical composition of the heavy metal, the heavy metal content). Input the corresponding parameters involved in the ecological treatment function into the soil model, and the soil model conducts a simulation for ecology a duration of T. After the simulation time ends, collect various data related to the ecological treatment function in the soil model (taking the biodegradation function as an example, the data involved includes the pollutant concentration, microbial activity, etc. Taking the heavy metal precipitation function as an example, the data involved includes the heavy metal precipitation rate, the heavy metal precipitation form, etc. The collected data for different ecological treatment functions are different). Extract the features of various data and combine them into the soil data feature set of this ecological treatment function. Obtain the feature evaluation model of this ecological treatment function, and use the soil data feature set as the input data of the feature evaluation model. The feature evaluation model outputs to obtain the ecological treatment index.

[0046] Each ecological treatment function corresponds to a characteristic evaluation model (for example, the biodegradation function and the heavy metal precipitation function each correspond to a characteristic evaluation model). All characteristic evaluation models are constructed based on neural network models. The difference between different characteristic evaluation models lies only in the different training data. In this embodiment, taking the biodegradation function as an example, the construction process of the characteristic evaluation model for the biodegradation function is disclosed: collect multiple soil data feature sets of the biodegradation function, construct a neural network model, use the soil data feature sets of the biodegradation function as the training data of the neural network model, assign an ecological treatment index to each training data, and the value range of the ecological treatment index is (5.0 - 8.0). The larger the value of the ecological treatment index, the stronger the biodegradation function of the soil; the smaller the value of the ecological treatment index, the weaker the biodegradation function of the soil. Divide the training data into a training set and a validation set according to a set ratio of 5:1, perform neural network iterative training on the training set and the validation set. After the training is completed, the characteristic evaluation model for the biodegradation function is constructed.

[0047] The construction process of the characteristic analysis model for the heavy metal precipitation function is as follows: collect multiple soil data feature sets of the heavy metal precipitation function. The larger the value of the ecological treatment index, the stronger the heavy metal precipitation function of the soil; the smaller the value of the ecological treatment index, the weaker the heavy metal precipitation function of the soil. The remaining construction process is the same as that of the characteristic evaluation model for the biodegradation function.

[0048] Soil ecological function evaluation module: Determine the ecological function evaluation level of the target soil area according to the ecological function evaluation index.

[0049] Each range of the ecological function evaluation index Kqtp corresponds to an ecological function evaluation level. The range of the ecological function evaluation index Kqtp is [0, Kqt1], (Kqt1, Kqt2], …, (Kqtp - 1, Kqtp]. The ecological function evaluation levels include ecological function evaluation level 1, ecological function evaluation level 2, …, ecological function evaluation level p - 1, ecological function evaluation level p. Among them, the higher the ecological function evaluation level, the higher the soil ecological function of the target soil area (the soil ecological function of ecological function evaluation level 2 is higher than that of ecological function evaluation level 1).

[0050] Set up a soil model function analysis module and a soil ecological function evaluation module, simulate various ecological treatment functions of the soil model for each soil sampling point, deeply evaluate the ecological treatment functions of the soil within each soil sampling point, and conduct correlation and comparative analysis on the ecological function performances of the soil sampling points in the target soil area, so as to accurately evaluate the level of the soil ecological function of the target soil area, which helps to intuitively understand the ecological function status of the target soil area.

[0051] The above formulas are all dimensionless and only take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to get a formula that is closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0052] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center in a wired or wireless (such as infrared, wireless, microwave, etc.) manner. The computer-readable storage medium can be any available medium that the computer can access, or a data storage device such as a server or data center that contains one or more collections of available media. The available medium can be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0053] It should be understood that in various embodiments of the present application, the magnitudes of the serial numbers of the above processes do not mean the order of execution, and the order of execution of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0054] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Skilled professionals can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0055] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0056] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the devices or units can be in electrical, mechanical, or other forms.

[0057] If the above functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The foregoing storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs and other various media that can store program codes.

[0058] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or substitutions, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A soil ecological function evaluation system based on soil environment big data, characterized in that: It includes soil sampling module, sampling point soil model building module, soil model function analysis module, and soil ecological function assessment module; The soil sampling module is used to set a plurality of soil sampling points in a matrix in the target soil area and regularly obtain the physical, chemical and biological data sets of each soil sampling point; The sampling point soil model construction module is used to construct a soil model based on each soil sampling point; The soil model function analysis module obtains the ecological treatment function index of each soil sampling point based on the soil model of each soil sampling point, and then obtains the ecological function evaluation index of the target soil area; The soil ecological function assessment module determines the ecological function assessment level of the target soil area according to the ecological function assessment index.

2. A soil ecological function assessment system based on soil environment big data according to claim 1, characterized in that: The method for acquiring the physical, chemical and biological data set of the soil sampling point is as follows: various basic soil data of the soil sampling point are collected regularly, and the various basic soil data are combined into a physical, chemical and biological data set in the form of a data set.

3. A soil ecological function assessment system based on soil environment big data according to claim 1, characterized in that: The soil model of the soil sampling point is constructed as follows: select the Hydrus simulation software, create a soil entity in the simulation software, add corresponding parameters to the soil entity based on the physical, chemical and biological data set of a soil sampling point, and then construct the soil model of the soil sampling point.

4. A soil ecological function assessment system based on soil environment big data according to claim 1, characterized in that: The ecological treatment function index of the soil sampling point is obtained as follows: obtain a soil model of a soil sampling point, and then obtain the ecological treatment index Bgv of the soil model for various ecological treatment functions, g = 1, 2, ..., G, g is the type number of the ecological treatment function, G is the total type of ecological treatment function, set the ecological treatment coefficient to hv, v = 1, 2, ..., v, h1 < h2 < h3 < ... < hv, set the ecological treatment threshold index, when the ecological treatment index of the ecological treatment function is greater than the ecological treatment threshold index, mark the ecological treatment function as a positive ecological function, mark the total number of positive ecological functions as Ndt, and use the formula The ecological treatment function index Tsw of the soil sampling point is obtained.

5. A soil ecological function assessment system based on soil environment big data according to claim 4, characterized in that: The method of obtaining the ecological treatment index of a soil model for an ecological treatment function is as follows: obtain the corresponding parameters involved in an ecological treatment function, input the corresponding parameters involved in the ecological treatment function into the soil model, and perform T ecology After the simulation time is over, various data related to the ecological treatment function in the soil model are collected, and features are extracted from various data and combined into a soil data feature set of the ecological treatment function to obtain a feature evaluation model of the ecological treatment function. The soil data feature set is used as input data of the feature evaluation model, and the feature evaluation model outputs the ecological treatment index.

6. The soil ecological function evaluation system based on soil environment big data according to claim 1 is characterized in that: The ecological function evaluation index of the target soil area is obtained as follows: every two adjacent soil sampling points are combined into an ecological point association group, and the ecological association comparison index of each ecological point association group is obtained. The ecological association comparison index of all ecological point association groups is summed and averaged to obtain the ecological association comparison comprehensive index Sda, and the ecological treatment function threshold index is set. When the ecological treatment function index of the soil sampling point is less than or equal to the ecological treatment function threshold index, the soil sampling point is marked as a negative sampling point, all negative sampling points are compared in pairs, and the distance difference between the two compared negative sampling points is calculated to obtain the negative sampling interval, and the negative sampling standard interval is set. When the negative sampling interval is greater than the negative sampling standard interval, the number of negative sampling dispersion is increased by one, and the number of negative sampling dispersion is marked as Spzb. When the negative sampling interval is less than or equal to the negative sampling standard interval, the number of negative sampling concentration is increased by one, and the number of negative sampling concentration is marked as Fwsy. The formula is used. The ecological function evaluation index Kqtp of the target soil area is obtained, where u1 is the comprehensive coefficient of ecological association comparison, u2 is the negative sampling dispersion coefficient, and u3 is the negative sampling concentration coefficient.

7. A soil ecological function assessment system based on soil environment big data according to claim 6, characterized in that: The ecological correlation comparison index of the ecological point association group is obtained as follows: the ecological treatment function index of the two soil sampling points in the ecological point association group is summed and averaged to obtain the comprehensive ecological function index Ykm; the ecological treatment function index of the two soil sampling points in the ecological point association group is calculated by difference and absolute value to obtain the ecological function difference index Tvx. The ecological association comparison index of the ecological site association group is obtained, where ba is the functional difference auxiliary coefficient.

8. A soil ecological function assessment method based on soil environment big data, applied to a soil ecological function assessment system based on soil environment big data as described in any one of claims 1 to 7, characterized in that: The steps include: Step 1: Set up multiple soil sampling points in a matrix in the target soil area and regularly obtain the physical, chemical and biological data sets of each soil sampling point; Step 2: Construct a soil model based on each soil sampling point; Step 3: Based on the soil model of each soil sampling point, obtain the ecological treatment function index of each soil sampling point, and then obtain the ecological function evaluation index of the target soil area; Step 4: Determine the ecological function assessment level of the target soil area based on the ecological function assessment index.

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