A soil ecological function assessment method and system based on soil environmental big data

Abstract

The present invention discloses a soil ecological function assessment method and system based on soil environmental big data, relating to the technical field of ecological function assessment. The system discloses a soil sampling module, a sampling point soil model construction module, a soil model function analysis module, and a soil ecological function assessment module. The soil sampling module and the sampling point soil model construction module are set up, and multiple soil sampling points are set up in the target soil area to ensure that the collected soil data can fully reflect the characteristics of the target soil area, and a soil model for each soil sampling point is constructed to facilitate subsequent further understanding of the ecological function of the target soil area. The soil model function analysis module and the soil ecological function assessment module are set up to simulate various ecological treatment functions of the soil model of each soil sampling point, and deeply assess the ecological treatment function of the soil in each soil sampling point.

Description

Technical Field

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

[0002] Traditional soil ecological function assessment methods rely primarily on laboratory analysis and field observations. While these methods can provide a certain level of information on soil ecological functions, they suffer from long assessment cycles, high costs, and insufficient data representation. Furthermore, due to the complexity and dynamic nature of soil ecosystems, traditional methods often struggle to fully and accurately reflect the true state of soil ecological functions.

[0003] In recent years, the rapid development of information technology, particularly the widespread application of big data and cloud computing, has provided new insights and methods for assessing soil ecological functions. By collecting and analyzing large amounts of soil environmental data, we can reveal the inherent laws and changing trends of soil ecological functions, providing strong support for scientific assessment of soil ecological functions. However, effectively integrating and utilizing these big data resources to develop scientific and systematic soil ecological function assessment methods and systems remains a major challenge.

[0004] Therefore, the present invention proposes a soil ecological function assessment method and system based on soil environmental big data. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a soil ecological function assessment method and system based on soil environmental big data.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A soil ecological function assessment system based on soil environmental big data, including a soil sampling module, a sampling point soil model construction module, a soil model function analysis module, and a soil ecological function assessment module;

[0008] The soil sampling module is used to set up multiple soil sampling points in a matrix in the target soil area and regularly obtain physical, chemical and biological data sets of each soil sampling point;

[0009] The sampling point soil model construction module is used to construct a soil model based on each soil sampling point;

[0010] 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;

[0011] The soil ecological function assessment module determines the ecological function assessment level of the target soil area according to the ecological function assessment index.

[0012] Furthermore, the physical, chemical and biological data sets of the soil sampling points are obtained in the following manner: various basic soil data of the soil sampling points are collected regularly, and the various basic soil data are combined into the physical, chemical and biological data sets in the form of data sets.

[0013] Furthermore, 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.

[0014] Furthermore, 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, each ecological treatment coefficient corresponds to an ecological treatment index within a range, the range of the ecological treatment index includes (0, Bg1], (Bg1, Bg2],…, (BgV-1, BgV], when BgV∈(0, Bg1]], the ecological treatment coefficient is h1, 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.

[0015] Furthermore, the soil model obtains the ecological treatment index for an ecological treatment function in the following manner: 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 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 the various data and combined into a soil data feature set of the ecological treatment function. A feature evaluation model of the ecological treatment function is obtained, and the soil data feature set is used as input data of the feature evaluation model. The feature evaluation model outputs the ecological treatment index.

[0016] Furthermore, 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, 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, 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 pairwise, the distance difference between the two compared negative sampling points is calculated to obtain the negative sampling interval, 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 dispersions is increased by one, and the number of negative sampling dispersions 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 concentrations is increased by one, and the number of negative sampling concentrations is marked as Fwsy, and 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.

[0017] Furthermore, the ecological correlation comparison index of the ecological site association group is obtained as follows: the ecological treatment function indexes of the two soil sampling points in the ecological site association group are summed and averaged to obtain the comprehensive ecological function index Ykm; the ecological treatment function indexes of the two soil sampling points in the ecological site association group are calculated by difference and absolute value to obtain the ecological function difference index Tvx. The formula The ecological association comparison index of the ecological site association group is obtained, where ba is the functional difference auxiliary coefficient.

[0018] Furthermore, a soil ecological function assessment method based on soil environmental big data includes the following steps:

[0019] Step 1: Set up multiple soil sampling points in a matrix in the target soil area and regularly obtain physical, chemical and biological data sets from each soil sampling point;

[0020] Step 2: Construct a soil model based on each soil sampling point;

[0021] 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;

[0022] Step 4: Determine the ecological function assessment level of the target soil area based on the ecological function assessment index.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The method of the present invention can correlate and compare the ecological function performance of soil sampling points in the target soil area, and then accurately assess the level of soil ecological function in the target soil area, which helps to intuitively understand the ecological function status of the target soil area;

[0025] 2. Set up a soil sampling module and a sampling point soil model construction module. Set up multiple soil sampling points in the target soil area to ensure that the collected soil data can fully reflect the characteristics of the target soil area and build a soil model for each soil sampling point to facilitate further understanding of the ecological function of the target soil area. 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

[0026] Figure 1 This is a flow chart of a soil ecological function assessment method based on soil environmental big data;

[0027] Figure 2 This is a system module diagram of a soil ecological function assessment system based on soil environmental big data;

[0028] Figure 3 Flowchart for obtaining an ecological treatment index for an ecological treatment function. DETAILED DESCRIPTION

[0029] Example 1: Reference Figure 1 , a soil ecological function assessment method based on soil environmental big data, comprising the following steps:

[0030] Step 1: Set up multiple soil sampling points in a matrix in the target soil area and regularly obtain physical, chemical and biological data sets from each soil sampling point.

[0031] Step 2: Construct a soil model based on each soil sampling point.

[0032] 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.

[0033] Step 4: Determine the ecological function assessment level of the target soil area based on the ecological function assessment index.

[0034] The above method can correlate and compare the ecological function performance of soil sampling points in the target soil area, and then accurately evaluate the level of soil ecological function in the target soil area, which helps to intuitively understand the ecological function status of the target soil area.

[0035] Example 2: Reference Figure 2-Figure 3 , a soil ecological function evaluation system based on soil environmental big data, including a soil sampling module, a sampling point soil model construction module, a soil model function analysis module, and a soil ecological function evaluation module.

[0036] Soil sampling module: multiple soil sampling points are set up in a matrix in the target soil area, and physical, chemical and biological data sets of each soil sampling point are regularly obtained.

[0037] The method for obtaining the physical, chemical, and biological data sets of soil sampling points is as follows: various basic soil data of soil sampling points are collected regularly (basic soil data include soil texture data, soil structure data, soil moisture content data, soil temperature data, soil nutrient content data, soil pH, soil heavy metal content, microbial community structure, enzyme activity, etc., and are composed of soil physical property data, chemical property data, biological property data, etc.), and various basic soil data are combined into physical, chemical, and biological data sets in the form of data sets.

[0038] Sampling point soil model construction module: constructs a soil model based on each soil sampling point.

[0039] 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 (the corresponding parameters include soil texture, soil structure, soil moisture, etc.), and then construct the soil model of the soil sampling point.

[0040] Setting up a soil sampling module and a sampling point soil model construction module, and setting up multiple soil sampling points in the target soil area can ensure that the collected soil data can fully reflect the characteristics of the target soil area, and construct a soil model for each soil sampling point, which is convenient for further understanding of the ecological function of the target soil area in the future.

[0041] Soil model function analysis module: Based on the soil model of each soil sampling point, the ecological treatment function index of each soil sampling point is obtained, and every two adjacent soil sampling points are combined into an ecological point association group to obtain the ecological correlation comparison index of each ecological point association group. The ecological correlation comparison index of all ecological point association groups is summed and averaged to obtain the ecological correlation comparison comprehensive index Sda, and the ecological treatment function threshold index is set (the ecological treatment function threshold index is the system preset index). When the ecological treatment function index of the soil sampling point is greater than the ecological treatment function threshold index, no treatment is performed. When the ecological treatment function index of the soil sampling point is greater than the ecological treatment function threshold index, no treatment is performed. When the index 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, the distance difference between the two negative sampling points is calculated to obtain the negative sampling interval, and the negative sampling standard interval is set (the negative sampling standard interval is the system preset interval). 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. Using the formula The ecological function evaluation index Kqtp of the target soil area was 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. The value of u1 is 0.92, the value of u2 is 0.63, and the value of u3 is 0.56.

[0042] The ecological correlation comparison index of the ecological site association group is obtained as follows: the ecological treatment function index of the two soil sampling points in the ecological site association group is summed and averaged to obtain the ecological function comprehensive index Ykm; the ecological treatment function index of the two soil sampling points in the ecological site 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 was obtained, where ba is the functional difference auxiliary coefficient, and the value of ba is 0.85.

[0043] 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 (ecological treatment functions include multiple functions, including but not limited to biodegradation function, heavy metal precipitation function, etc.), 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, each ecological treatment coefficient corresponds to an ecological treatment index within a range The range of ecological treatment index includes (0, Bg1], (Bg1, Bg2], …, (BgV-1, BgV], when BgV∈(0, Bg1]], the ecological treatment coefficient is h1, and the ecological treatment threshold index is set (the ecological treatment threshold index is the system preset index). When the ecological treatment index of the ecological treatment function is greater than the ecological treatment threshold index, the ecological treatment function is marked as a positive ecological function. When the ecological treatment index of the ecological treatment function is less than or equal to the ecological treatment threshold index, no treatment is performed. The total number of positive ecological functions is marked as Ndt. The formula is used. The ecological treatment function index Tsw of the soil sampling point is obtained.

[0044] The soil model obtains the ecological treatment index for an ecological treatment function 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 pollutants, the physical state of pollutants, the chemical composition of pollutants, 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 heavy metals and the content of heavy metals), input the corresponding parameters involved in the ecological treatment function into the soil model, and the soil model is After the simulation time is over, various data related to the ecological treatment function in the soil model are collected (taking the biodegradation function as an example, the data involved include pollutant concentration, microbial activity, etc.; taking the heavy metal precipitation function as an example, the data involved include heavy metal precipitation rate, heavy metal precipitation form, etc.; the collected data involved in different ecological treatment functions are different). Features of various data are extracted and combined into a soil data feature set of the ecological treatment function, and a feature evaluation model of the ecological treatment function is obtained. The soil data feature set is used as the input data of the feature evaluation model, and the feature evaluation model outputs the ecological treatment index.

[0045] Each ecological treatment function corresponds to a feature evaluation model (e.g., biodegradation function and heavy metal precipitation function each correspond to a feature evaluation model). All feature evaluation models are constructed based on a neural network model. The difference between different feature evaluation models lies only in the difference in training data. In this embodiment, taking the biodegradation function as an example, the construction process of the feature evaluation model of the biodegradation function is disclosed: multiple soil data feature sets of biodegradation functions are collected, a neural network model is constructed, and the soil data feature sets of the biodegradation function are used as training data for the neural network model. An ecological treatment index is assigned to each training data. 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, and the smaller the value of the ecological treatment index, the weaker the biodegradation function of the soil. The training data is divided into a training set and a validation set according to a set ratio of 5:1. The neural network is iteratively trained on the training set and the validation set. After the training is completed, a feature evaluation model of the biodegradation function is constructed.

[0046] The construction process of the characteristic analysis model of heavy metal precipitation function is as follows: multiple soil data feature sets of heavy metal precipitation function are collected. The larger the value of the ecological treatment index, the stronger the heavy metal precipitation function of the soil, and the smaller the value of the ecological treatment index, the weaker the heavy metal precipitation function of the soil. The rest of the construction process is consistent with the construction process of the characteristic evaluation model of biodegradation function.

[0047] Soil ecological function assessment module: Determine the ecological function assessment level of the target soil area based on the ecological function assessment index.

[0048] The range of each ecological function assessment index Kqtp corresponds to an ecological function assessment level. The range of the ecological function assessment index Kqtp is [0, Kqt1], (Kqt1, Kqt2], …, (Kqtp-1, Kqtp]). The ecological function assessment levels include ecological function assessment level 1, ecological function assessment level 2, …, ecological function assessment level p-1, and ecological function assessment level p. The higher the ecological function assessment level, the higher the soil ecological function of the target soil area (the soil ecological function of ecological function assessment level 2 is higher than that of ecological function assessment level 1).

[0049] A soil model function analysis module and a soil ecological function assessment module are set up to simulate various ecological treatment functions of the soil model at each soil sampling point, deeply evaluate the ecological treatment function of the soil at each soil sampling point, and correlate and compare the ecological function performance of the soil sampling points in the target soil area, thereby accurately assessing the level of soil ecological function in the target soil area, which helps to intuitively understand the ecological function status of the target soil area.

[0050] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0051] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. 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 program are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0052] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0053] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0054] Those skilled in the art will 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 aforementioned method embodiments and will not be repeated here.

[0055] In the several embodiments provided in this 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 schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as 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 mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0056] If the functions are implemented in the form of software functional 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, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling 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 method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0057] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A soil ecological function assessment system based on soil environment big data, characterized in that: It includes soil sampling module, sampling point soil model construction module, soil model function analysis module, and soil ecological function assessment module; The soil sampling module is used to set up multiple soil sampling points in a matrix in the target soil area and regularly obtain 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 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 as hv, v=1, 2,…, V, h1<h2<h3<…<hV, each ecological treatment coefficient corresponds to an ecological treatment index within a range, the range of the ecological treatment index includes (0, Bg1], (Bg1, Bg2],…, (BgV-1, BgV], when Bgv∈(0, Bg1], the ecological treatment coefficient is h1, 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 Obtain the ecological treatment function index Tsw of the soil sampling point; 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, 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, 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 pairwise, the distance difference between the two compared negative sampling points is calculated to obtain the negative sampling interval, 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 dispersions is increased by one, and the number of negative sampling dispersions 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 concentrations is increased by one, and the number of negative sampling concentrations is marked as Fwsy, and 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 correlation comparison, u2 is the negative sampling dispersion coefficient, and u3 is the negative sampling concentration coefficient; 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 physical, chemical and biological data sets of the soil sampling points are obtained as follows: various basic soil data of the soil sampling points are collected regularly, and the various basic soil data are combined into physical, chemical and biological data sets in the form of data sets.

3. The soil ecological function assessment system based on soil environment big data according to claim 1 is characterized in that: The soil model of a 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 dataset of a soil sampling point, and then construct a soil model for the soil sampling point.

4. The soil ecological function assessment system based on soil environment big data according to claim 1 is characterized in that: The soil model obtains the ecological treatment index for an ecological treatment function in the following way: 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 is 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 the various data and combined into a soil data feature set of the ecological treatment function. A feature evaluation model of the ecological treatment function is obtained, and the soil data feature set is used as input data of the feature evaluation model. The feature evaluation model outputs the ecological treatment index.

5. The soil ecological function assessment system based on soil environment big data according to claim 1 is characterized in that: The ecological correlation comparison index of the ecological site association group is obtained as follows: the ecological treatment function index of the two soil sampling points in the ecological site association group is summed and averaged to obtain the ecological function comprehensive index Ykm; the ecological treatment function index of the two soil sampling points in the ecological site 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.

6. 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 according to any one of claims 1 to 5, 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 physical, chemical and biological data sets from 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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