Health assessment method based on soil multi-parameter monitoring
By constructing a three-dimensional hierarchical sampling model and multi-parameter monitoring, the problems of blind sampling and one-sided results in soil health assessment have been solved, achieving accurate soil health assessment and pollution location, and supporting agricultural decision-making.
Patent Information
- Application Number
- CN202511449735.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-11
- Publication Date
- 2026-02-13
AI Technical Summary
Existing soil health assessment methods ignore soil spatial heterogeneity, resulting in numerous sampling blind spots, wasted costs, or missed detections in key areas. Furthermore, single-factor analysis neglects biological activity and microbial community structure, leading to biased assessment results.
A health assessment method based on multi-parameter soil monitoring was adopted. By integrating geographical features, soil type and land use, a three-dimensional stratified sampling model was constructed. Combining physical, chemical and biological indicators, and using the difference threshold method and anomaly index verification, a progressive health assessment model was established to achieve differentiated sampling and dynamic verification.
It enables precise soil sampling and assessment, improves sampling efficiency and assessment accuracy, quantifies soil health index and locates pollution hotspots, and provides reliable basis for agricultural decision-making.
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Figure CN121524902A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of soil health assessment, and in particular to a health assessment method based on soil multi-parameter monitoring. BACKGROUND
[0002] Soil health assessment is the core technical support for sustainable development of agriculture and ecological security, and its development process is closely related to the deepening of human cognition of soil functions. Before the 1970s, soil health assessment mainly relied on descriptive indicators such as soil color, water content, and earthworm activity, and the evaluation method was rough and subjective. With the progress of analytical testing technology, scholars gradually introduced physical, chemical and biological quantitative indicators, and promoted the development of evaluation to science; The existing technology mainly adopts fixed grid or random sampling, ignoring the spatial heterogeneity of soil (such as terrain undulation, soil type difference, and human disturbance), resulting in many blind areas of sampling, waste of cost or missing detection of key areas; The existing technology still focuses on single-factor analysis, ignoring key indicators such as soil biological activity and microbial community structure, resulting in one-sided evaluation results, such as misjudgment of degradation problems caused by microbial imbalance by relying only on chemical indicators. SUMMARY
[0003] The purpose of the present application is to provide a health assessment method based on soil multi-parameter monitoring to solve the problems raised in the background art.
[0004] To achieve the above purpose, the present application provides the following technical solution: a health assessment method based on soil multi-parameter monitoring, comprising: A basic information acquisition step is used to acquire the basic conditions of the target soil area and perform data analysis to obtain soil collection results of the target soil area; A soil data extraction step is used to extract data from the soil collection results of the target soil area to obtain each effective collected soil sample and the effective collected soil sample ratio corresponding to each sub-region in the target soil area; A soil health assessment step is used to analyze the data of each effective collected soil sample and the effective collected soil sample ratio corresponding to each sub-region in the target soil area to obtain the soil health assessment result of the target soil area.
[0005] In the preferred embodiment of the present application, the basic information acquisition step is implemented as follows: A data extraction relationship between the basic information acquisition steps is established to extract the basic information corresponding to the target soil area stored in the database, including the area, topographic data, soil type data and land use data corresponding to the target soil area; According to the area corresponding to the target soil region, topographic and geomorphic data, soil type data and land use data, a soil sampling model corresponding to the target soil region is established, data analysis is performed through the soil sampling model corresponding to the target soil region, and soil collection results of the target soil region are obtained.
[0006] Obtaining the topography, soil type and land use properties corresponding to each relative position coordinate in the preset target soil region in the soil sampling model; According to the topography in the target soil region, the target soil region is divided into each topographic and geomorphic soil region; According to the soil type, the target soil region is divided into each topographic and geomorphic region, and the soil region corresponding to each topographic and geomorphic and soil type combination is obtained; According to the land use type, the target soil region is divided into each topographic and geomorphic and soil type combination region, and the soil region corresponding to each topographic and geomorphic, soil type and land use property combination is obtained, each topographic and geomorphic, soil type and land use property combination region is recorded as each sub-region, and the area corresponding to each sub-region is obtained; Obtaining the soil collection index corresponding to each topography, each soil type and each land use property in the soil sampling model, and screening the topography, soil type and land use property combination corresponding to each sub-region to obtain the soil collection index corresponding to the topography, the soil collection index corresponding to the soil type and the soil collection index corresponding to the land use property of each sub-region; Comprehensive soil collection index = topography corresponding soil collection index x soil type corresponding soil collection index x land use property corresponding soil collection index; Statistical comprehensive soil collection index of each sub-region is obtained; Obtaining the preset soil collection density and soil collection depth corresponding to each comprehensive soil collection index; According to the comprehensive soil collection index of each sub-region, the soil collection density and soil collection depth corresponding to each sub-region are obtained, and the collection number corresponding to each sub-region is calculated according to the area and soil collection density corresponding to each sub-region; According to the collection number and soil collection depth corresponding to each sub-region, each collection, collection number and soil sample corresponding to each collection corresponding to each sub-region are obtained, and each collection, collection number and soil sample corresponding to each collection corresponding to each sub-region are recorded as the soil collection results of the target soil region; Obtaining the relative position coordinates of each collection corresponding to each sub-region.
[0007] In the preferred embodiment of the present scheme, the soil data extraction step is specifically implemented as follows: Information is extracted from the soil samples corresponding to each acquisition of each sub-region to obtain physical index data, chemical index data and biological index data of the soil corresponding to each acquisition of each sub-region, the physical index data including bulk density, porosity and soil water content, the chemical index data including soil organic matter content, macroelement content, microelement content and conductivity, and the biological index data including organic matter content, microbial biomass and enzyme activity. A soil analysis model is established according to the physical index data, chemical index data and biological index data of the soil corresponding to each acquisition of each sub-region, and data analysis is performed through the soil analysis model to obtain each effective acquisition soil sample corresponding to each sub-region in the target soil region and the proportion of effective acquisition soil samples.
[0008] In the preferred embodiment of the present scheme, the soil health assessment step is specifically implemented as follows: A data extraction relationship is established between the soil health assessment step and the database to extract the standard physical index data, standard chemical index data and standard biological index data of the soil stored in the database. A soil health analysis and evaluation model is established according to the standard physical index data, standard chemical index data and standard biological index data of the soil and the physical index data, chemical index data and biological index data corresponding to each effective acquisition soil sample, and data analysis is performed through the soil health analysis and evaluation model to obtain the soil health assessment result of the target soil region.
[0009] Compared with the prior art, the present application has the following advantages: The present application provides a scientific sampling system, which integrates the geographical features (terrain), inherent properties (soil type) and human activity influences (land use) of the target region to construct a three-dimensional layered sampling model, realizes precise configuration of differentiated sampling density and depth, ensures representativeness and improves sampling efficiency; The present application synchronously acquires three types of key indicators, namely physical, chemical and biological indicators, through multi-dimensional data fusion analysis, effectively eliminates interference data by using a difference threshold method and an abnormal index double-checking mechanism, ensures the quality of effective samples, innovatively introduces index weight coefficients, establishes a progressive health evaluation model from a single sample point to a regional level, quantitatively calculates the soil health index and accurately locates pollution hotspots, introduces a dynamic verification mechanism to implement deep re-inspection on suspected pollution areas, combines spatial coordinate tracking to form a closed-loop verification process of "preliminary screening-reinspection-confirmation", and significantly improves the accuracy of pollution determination. The application finally outputs soil health evaluation results with quantitative grading and spatial positioning by database linkage and standardized index comparison, thereby providing reliable basis for precision fertilization, pollution remediation and other agricultural decisions. The method realizes the intelligentization of the whole process from data acquisition to health diagnosis, solves the industry pain points such as blind sampling, single index and result lag in traditional soil detection, and has outstanding practicability and popularization value. BRIEF DESCRIPTION OF DRAWINGS
[0010] The application will be further described by using the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the application. For ordinary skilled persons in the art, other drawings can be obtained without creative labor on the basis of the following drawings.
[0011] Figure 1 The application is connected with the schematic diagram of the embodiment steps. DETAILED DESCRIPTION
[0012] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by ordinary skilled persons in the art without creative labor belong to the protection scope of the application.
[0013] Please refer to Figure 1 The application provides a health evaluation method based on soil multi-parameter monitoring, which comprises a basic information acquisition step, a soil data extraction step and a soil health evaluation step. The basic information acquisition step is connected with the soil data extraction step, and the soil data extraction step is connected with the soil health evaluation step. The basic information acquisition step is used for acquiring and analyzing the basic conditions of the target soil region to obtain the soil collection result of the target soil region. Further, the specific execution mode of the basic information acquisition step is as follows: The data extraction relationship between the basic information acquisition steps is established, and the basic information corresponding to the target soil region stored in the database is extracted, wherein the basic information comprises the area, topographic and geomorphic data, soil type data and land use data corresponding to the target soil region. The soil sampling model corresponding to the target soil region is established according to the area, topographic and geomorphic data, soil type data and land use data corresponding to the target soil region, and the soil collection result of the target soil region is obtained by data analysis through the soil sampling model corresponding to the target soil region.
[0014] Obtaining topography and geomorphology, soil type and land use property corresponding to each relative position coordinate in the preset target soil region in the soil sampling model; It should be noted that: the topography and geomorphology data includes flat land, hilly land and steep slope, etc.; The soil type data includes brown soil and moor soil, etc.; The land use data includes arable land, orchard, construction land and forest land, etc.; According to the topography and geomorphology corresponding to each relative position coordinate in the target soil region, the target soil region is preliminarily divided into each topography and geomorphology soil region; According to the soil type, the target soil region is secondarily divided into each topography and geomorphology region, and the target soil region is obtained; According to the land use type, the target soil region is thirdly divided into each topography and geomorphology, soil type and land use property combination corresponding soil region, each topography and geomorphology, soil type and land use property combination corresponding soil region is recorded as each sub-region, and the area corresponding to each sub-region is obtained; Obtaining soil collection index corresponding to each topography and geomorphology, each soil type and each land use property in the preset soil sampling model, and screening according to the topography and geomorphology, soil type and land use property combination corresponding to each sub-region to obtain the soil collection index corresponding to the topography and geomorphology, the soil collection index corresponding to the soil type and the soil collection index corresponding to the land use property of each sub-region; Comprehensive soil collection index = topography and geomorphology corresponding soil collection index × soil type corresponding soil collection index × land use property corresponding soil collection index; Statistically obtaining the comprehensive soil collection index of each sub-region; Obtaining the preset soil collection density and soil collection depth corresponding to each comprehensive soil collection index; According to the comprehensive soil collection index of each sub-region, the soil collection density and soil collection depth corresponding to each sub-region are obtained, and the collection number corresponding to each sub-region is calculated according to the area and soil collection density corresponding to each sub-region; According to the collection number and soil collection depth corresponding to each sub-region, the soil sample corresponding to each collection, collection number and each collection corresponding to each sub-region is obtained, and the soil sample corresponding to each collection, collection number and each collection corresponding to each sub-region is recorded as the soil collection result of the target soil region; Obtaining the relative position coordinate of each collection corresponding to each sub-region.
[0015] The soil data extraction step is used for data extraction on the soil collection results of the target soil region, to obtain each effective collection soil sample and the effective collection soil sample proportion of each sub-region in the target soil region. Further, the specific execution mode of the soil data extraction step is as follows: The information of each collection corresponding to each sub-region is extracted, to obtain the physical index data, chemical index data and biological index data of each collection of each sub-region, the physical index data includes bulk density, porosity and soil moisture content, the chemical index data includes soil organic matter content, macroelement content, microelement content and conductivity, and the biological index data includes organic matter content, microbial biomass and enzyme activity. The soil analysis model is established according to the physical index data, chemical index data and biological index data of each collection of each sub-region, data analysis is performed through the soil analysis model, and each effective collection soil sample and the effective collection soil sample proportion of each sub-region in the target soil region are obtained.
[0016] It should be noted that the specific analysis process of the effective soil collection sample of each sub-region obtained through the soil analysis model is as follows: Taking a target sub-region as an example; Taking the physical index data as an example; The average value of the bulk density, porosity and soil moisture content of each collection soil is calculated, to obtain the average bulk density, average porosity and average soil moisture content of the collection soil; The average soil organic matter content, average macroelement content, average microelement content and average conductivity of the collection soil are calculated and obtained; The average organic matter content, average microbial biomass and average enzyme activity of the collection soil are calculated and obtained; Taking a collection soil as an example; The bulk density, porosity, soil moisture content, soil organic matter content, macroelement content, microelement content, conductivity, organic matter content, microbial biomass and enzyme activity of the collection soil are calculated by difference with the corresponding average value, to obtain the bulk density difference, porosity difference, soil moisture content difference, soil organic matter content difference, macroelement content difference, microelement content difference, conductivity difference, organic matter content difference, microbial biomass difference and enzyme activity difference of the collection soil; Obtain the difference threshold value corresponding to each type of data preset in the soil analysis model, compare the bulk density difference, porosity difference, soil water content difference, soil organic matter content difference, macroelement content difference, trace element content difference, conductivity difference, organic matter content difference, microbial quantity difference, and enzyme activity difference of the collected soil with the corresponding difference threshold value, filter each data greater than the difference threshold value, and mark each abnormal data as the average value and the original measurement value corresponding to each abnormal data; The abnormal index corresponding to each abnormal data = (original measurement value-average value) / average value; The abnormal index corresponding to the collected soil is equal to the sum of the abnormal indexes corresponding to each abnormal data; Compare the abnormal index corresponding to the collected soil with the preset abnormal index threshold value. If the abnormal index is less than or equal to the preset abnormal index threshold value, it means that the collected soil has reference value. If the abnormal index is less than or equal to the preset abnormal index threshold value, it means that the collected soil does not have reference value. Mark the collected soil with reference value as an effective collected soil sample, and mark the collected soil without reference value as an invalid collected soil sample; Statistically obtain the effective collected soil samples and effective collected soil sample proportions corresponding to each sub-region; Effective collected soil sample proportion = effective collected soil sample number / collected number corresponding to each sub-region; Soil health assessment step: according to the effective collected soil samples and effective collected soil sample proportions corresponding to each sub-region in the target soil region, data analysis is performed to obtain the soil health assessment result of the target soil region.
[0017] Further, the specific execution mode of the soil health assessment step is as follows: Establish a data extraction relationship between the soil health assessment step and the database, and extract the soil standard physical index data, standard chemical index data, and standard biological index data stored in the database; According to the soil standard physical index data, standard chemical index data, and standard biological index data, and the physical index data, chemical index data, and biological index data corresponding to each effective collected soil sample, a soil health analysis and evaluation model is established, and data analysis is performed through the soil health analysis and evaluation model to obtain the soil health assessment result of the target soil region.
[0018] It should be noted that the specific execution mode of the soil health analysis and evaluation model for data analysis to obtain the soil health assessment result of the target soil region is as follows: Take one effective collected soil sample in one sub-region as an example; Take the physical index data as an example; Obtaining the influence weight of each data on the physical index abnormal coefficient; The effective physical index abnormal coefficient of the collected soil sample = 1 + (│standard bulk density - bulk density│ / standard bulk density) x the influence weight of bulk density on the physical index abnormal coefficient + (│standard porosity - porosity│ / standard porosity) x the influence weight of porosity on the physical index abnormal coefficient + (│standard water content - water content│ / standard water content) x the influence weight of water content on the physical index abnormal coefficient; The effective chemical index abnormal coefficient and the effective biological index abnormal coefficient of the collected soil sample are obtained by the same data analysis method as above; Obtaining the influence weight of the preset physical index abnormal coefficient, the chemical index abnormal coefficient and the biological index abnormal coefficient on the soil health index; The effective soil health index of the collected soil sample = the sum of the product of the effective physical index abnormal coefficient, the chemical index abnormal coefficient and the biological index abnormal coefficient of the collected soil sample and the corresponding influence weight on the soil health index; The soil health indexes of the effective collected soil samples in the sub-region are counted, and the soil health indexes of the effective collected soil samples are compared with the preset soil health index threshold value. If the soil health index is less than or equal to the preset soil health index threshold value, it indicates that the soil health of the effective collected soil sample is healthy. If the soil health index is greater than the preset soil health index threshold value, it indicates that the soil health of the effective collected soil sample is unhealthy, and the effective collected soil sample is marked as an abnormal soil sample. The abnormal soil samples in the sub-region and the corresponding relative position coordinates of the abnormal soil samples are counted and obtained; The proportion of the abnormal soil samples in the effective collected soil samples corresponding to the sub-region is obtained. If the proportion is greater than the preset proportion threshold value, it indicates that the sub-region is polluted. If the proportion is less than or equal to the preset proportion threshold value, the relative position coordinates of each abnormal soil sample are used to sample again at different depths, and the above analysis process is repeated. If the final proportion is still less than or equal to the preset proportion threshold value, it indicates that the sub-region is not polluted. If the final proportion is still greater than the preset proportion threshold value, it indicates that the sub-region is polluted; The sub-regions in the target soil region that are polluted are counted, and the sub-regions in the target soil region that are polluted are recorded as the soil health evaluation result of the target soil region.
[0019] The above are preferred embodiments of the present application, which do not limit the protection scope of the present application. Any equivalent changes made on the basis of the structure, shape, principle of the present application should be covered by the protection scope of the present application.
Claims
1. A soil health assessment method based on multi-parameter monitoring, characterized in that: include: Basic information acquisition steps: This step is used to acquire and analyze the basic conditions of the target soil area to obtain the soil collection results for the target soil area. Soil data extraction steps: This step is used to extract data from the soil collection results of the target soil area, and to obtain the effective soil samples and the proportion of effective soil samples corresponding to each sub-region of the target soil area. Soil health assessment steps: Based on the effective soil samples and the proportion of effective soil samples corresponding to each sub-region in the target soil region, data analysis is performed to obtain the soil health assessment results of the target soil region.
2. The method for soil health assessment based on multi-parameter monitoring according to claim 1, characterized in that: The specific execution method of the basic information acquisition step is as follows: Establish data extraction relationships between the basic information acquisition steps, and extract the basic information corresponding to the target soil area stored in the database. The basic information includes the area, topographic data, soil type data and land use data of the target soil area. Based on the area, topographic data, soil type data, and land use data of the target soil area, a soil sampling model corresponding to the target soil area is established. Data analysis is then performed using the soil sampling model corresponding to the target soil area to obtain the soil collection results of the target soil area. Obtain the topography, soil type, and land use properties corresponding to the relative position coordinates of each pre-set target soil region in the soil sampling model; The initial division is carried out based on the topography and landforms corresponding to the relative position coordinates of each soil region in the target soil region, resulting in soil regions with different topography and landforms in the target soil region. Based on soil type, the topographic regions of the target soil region are subdivided into two parts to obtain the soil regions corresponding to the combination of topographic features and soil type in the target soil region. Based on land use type, the target soil region is divided into three parts, corresponding to the combination of topography and soil type. The soil regions corresponding to the combination of topography, soil type and land use are obtained. The soil regions corresponding to the combination of topography, soil type and land use are recorded as sub-regions, and the area of each sub-region is obtained. The soil sampling indexes corresponding to each topography, soil type and land use property in the soil sampling model are obtained. The soil sampling indexes corresponding to the topography, soil type and land use property of each sub-region are filtered to obtain the soil sampling indexes corresponding to the topography, soil type and land use property of each sub-region. Comprehensive Soil Collection Index = Soil Collection Index corresponding to Topography × Soil Collection Index corresponding to Soil Type × Soil Collection Index corresponding to Land Use; The comprehensive soil collection index for each sub-region was obtained statistically. Obtain the soil sampling density and soil sampling depth corresponding to each preset comprehensive soil sampling index; Based on the comprehensive soil collection index of each sub-region, the soil collection density and soil collection depth of each sub-region are obtained. Based on the area and soil collection density of each sub-region, the collection number of each sub-region is calculated. Soil samples were collected based on the number of samples collected and the soil sampling depth corresponding to each sub-region. The number of samples collected and the corresponding soil samples for each sub-region were obtained for each sub-region of the target soil region. The number of samples collected and the corresponding soil samples for each sub-region were recorded as the soil sampling results for the target soil region. Obtain the relative position coordinates of each collection for each sub-region.
3. The method for soil health assessment based on multi-parameter monitoring according to claim 2, characterized in that: The specific execution method of the soil data extraction step is as follows: Information was extracted from soil samples collected from each sub-region to obtain physical, chemical, and biological index data for each sub-region. The physical index data included bulk density, porosity, and soil moisture content. The chemical index data included soil organic matter content, macro-element content, micro-element content, and electrical conductivity. The biological index data included organic matter content, microbial biomass, and enzyme activity. Based on the physical, chemical, and biological indicators of the soil collected from each sub-region, a soil analysis model was established. Data analysis was then conducted using the soil analysis model to obtain the effective soil samples and the proportion of effective soil samples for each sub-region in the target soil region.
4. The method for soil health assessment based on multi-parameter monitoring according to claim 3, characterized in that: The specific implementation method of the soil health assessment steps is as follows: Establish the data extraction relationship between the soil health assessment steps and the database, and extract the soil standard physical index data, standard chemical index data and standard biological index data stored in the database; A soil health analysis and assessment model is established based on the standard physical, chemical, and biological indicators of soil and the corresponding physical, chemical, and biological indicators of each validly collected soil sample. Data analysis is then conducted using this model to obtain the soil health assessment results for the target soil area.