Ecological detection system and method for repairing banana forest soil heavy metal based on earthworm breeding

Abstract

The invention provides an ecological detection system and method for restoring banana forest soil heavy metal based on earthworm breeding, and relates to the field of technical environment science and ecological restoration. Key characteristic parameters in banana forest soil before restoration are collected, Eisenia deficit earthworms are selected, and biochar is added for restoration; after the experiment is finished, measuring the feature parameters after restoration, calculating the difference value of each parameter before and after restoration, generating a heavy metal concentration index based on the difference values, calculating the variable quantity of earthworm excrement and biochar, generating a heavy metal restoration index, finally setting a heavy metal pollution threshold value, and correcting the heavy metal concentration index by using the restoration index. And comparing with a pollution threshold value, and judging a remediation effect. According to the method, the heavy metal pollution in the banana forest soil is repaired by utilizing the eisenia deficit and the biochar, and the purpose of evaluating and optimizing the heavy metal repairing effect is achieved.

Description

Technical Field

[0001] The invention relates to the field of environmental science and ecological restoration technology, and in particular to an ecological detection system and method for restoring heavy metals in banana forest soil based on cultivating earthworms. Background Art

[0002] The development background of ecological detection methods for soil heavy metals stems from the increasingly serious problem of soil heavy metal pollution caused by agricultural production and industrial pollution worldwide. These pollutions not only damage the soil ecosystem, but also threaten human health and environmental safety through the food chain. Although traditional physical and chemical detection methods can accurately determine the content of heavy metals in soil, they cannot fully reflect their ecological risks and bioavailability. Therefore, ecological detection methods came into being, emphasizing the use of comprehensive indicators such as soil physical and chemical properties, enzyme activity, microbial community structure and bioremediation efficiency to evaluate the impact of heavy metals on soil health and ecological restoration potential, providing a scientific basis for the sustainable restoration of contaminated soil.

[0003] In existing technologies, soil heavy metal remediation mainly relies on physical and chemical analysis methods, such as spectral analysis and chromatography. Although these methods can accurately determine the content of heavy metals, they lack a comprehensive assessment of the ecological risk and bioavailability of heavy metals and cannot fully reflect the health status of soil and the potential for pollution remediation. At the same time, these methods usually require expensive instruments and equipment, complex operating procedures and long detection cycles, which limits their widespread application in actual remediation projects. Secondly, the existing remediation methods lack a dynamic monitoring and evaluation mechanism for the remediation effect, and cannot reflect the changes in heavy metal concentrations and their ecological significance during the remediation process in real time and accurately. Traditional remediation methods, such as relying solely on chemical agents or physical means, are prone to secondary pollution or further damage to the soil ecological environment. In addition, current research rarely combines bioremediation with intelligent technology to quantitatively evaluate the remediation effect, which leads to a lack of scientificity and accuracy in the implementation of remediation measures and the evaluation of their effects, thus affecting the efficiency and sustainability of pollution control.

[0004] Therefore, it is necessary to provide an ecological detection system and method based on cultivating earthworms to repair heavy metals in banana forest soil to solve the above problems.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The purpose of the present invention is to provide an ecological detection system and method for repairing heavy metals in banana forest soil based on cultivating earthworms, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: An ecological detection system based on cultivating earthworms to repair heavy metals in banana forest soil, the specific steps include: The regional characteristic parameter acquisition module is used to collect the heavy metal related characteristic parameters in the banana forest soil before restoration. The characteristic parameters include soil value score, heavy metal ion concentration, soil mineral concentration, and soil sand ratio; A heavy metal concentration index generation module, wherein the heavy metal concentration index generation module is used to select Eisenia deliciosa, add biochar and place them in the banana forest restoration area for restoration. After the experiment is completed, characteristic parameter data after restoration is measured, and the difference between each characteristic parameter before and after restoration is calculated, and a heavy metal concentration index is generated according to the calculated difference between each characteristic parameter. A dynamic analysis module for earthworm excrement and biochar, which is used to calculate the change in earthworm excrement and biochar, and to generate a heavy metal remediation index by combining the change in earthworm excrement and biochar; The threshold correction and restoration effect evaluation module is used to establish a heavy metal pollution threshold, and use the calculated heavy metal restoration index to correct the heavy metal concentration index to obtain a heavy metal concentration index correction value, and compare the obtained heavy metal concentration index correction value with the heavy metal pollution threshold to determine the restoration effect of heavy metals in banana forest soil.

[0008] Furthermore, the difference between each characteristic parameter before and after the restoration is calculated, and the heavy metal concentration index is generated according to the calculated difference between each characteristic parameter, and the method is as follows: First, perform minimum-maximum normalization on the feature data and scale the data to Within the range, all feature data have the same scale, and then the feature data is cleaned, including the detection and deletion of outliers and duplicate data, and the processing of missing values. Statistical methods are used to identify outliers and duplicate data in feature data, delete outliers and duplicate data in feature data, and use the mean, median or mode of feature data to fill in missing values ​​in feature data; The difference between each characteristic parameter before and after repair is calculated based on the following formula: ; ; ; ; in, , , They represent the differences in heavy metal ion concentration, soil mineral concentration, and soil sand ratio before and after banana forest restoration. , , , They represent the heavy metal ion concentration, soil mineral concentration, soil sand ratio and soil Value rating, , , , Represents the heavy metal ion concentration, soil mineral concentration, soil sand ratio and soil Value rating, Soil before and after restoration The difference in value ratings; The scoring criteria are: The value score is set to divide, when When the value is 7, the corresponding Value Rating ,when Value is or When Value Rating ,when Value is or When Value Rating ,when Value less than or greater than When Value Rating ; The heavy metal concentration index is generated based on the formula: ; in, Indicates the generated heavy metal concentration index.

[0009] Furthermore, the heavy metal remediation index was generated based on the following method: Obtain the earthworm excrement content and biocarbon content before and after restoration in the restoration area, calculate the change in earthworm excrement and biocarbon to generate the heavy metal restoration index. The calculation formula for the heavy metal restoration index is: ; in, Indicates the heavy metal remediation index, , are the contents of earthworm excrement before and after restoration, , These are the biochar contents before and after restoration, respectively.

[0010] Furthermore, the heavy metal remediation index obtained by calculation is used to correct the heavy metal concentration index to obtain a corrected value of the heavy metal concentration index, and the formula based on this is: ; in, Indicates the corrected value of heavy metal concentration index, is the heavy metal concentration index.

[0011] Furthermore, the obtained heavy metal concentration index correction value was compared with the heavy metal pollution threshold to determine the restoration effect of heavy metals in banana forest soil. The logical formula was as follows: ; in, Represents a logical value for judging the effect of heavy metal restoration in banana forest soil. When the heavy metal concentration index correction value is greater than the heavy metal pollution threshold, it indicates that the heavy metal concentration in the banana forest soil is still above the standard and needs to be repaired; when When the heavy metal concentration index did not exceed the heavy metal pollution threshold, it showed that the heavy metal concentration in the banana forest soil was at a normal level and the restoration effect was good. is the heavy metal pollution threshold.

[0012] The present invention also provides an ecological detection method for restoring heavy metals in banana forest soil based on cultivating earthworms, and the ecological detection method is used to execute the above-mentioned ecological detection system for restoring heavy metals in banana forest soil based on cultivating earthworms, comprising: Step 1: Collect the heavy metal related characteristic parameters in the banana forest soil before restoration, including soil value score, heavy metal ion concentration, soil mineral concentration, and soil sand ratio; Step 2: Select Eisenia deltoides and add biochar to the banana forest restoration area for restoration. After the experiment, measure the characteristic parameter data after restoration, and calculate the difference between each characteristic parameter before and after restoration. The heavy metal concentration index is generated based on the calculated difference between each characteristic parameter. Step 3: Calculate the change in earthworm excrement and biochar, and combine the change in earthworm excrement and biochar to generate a heavy metal remediation index; Step 4: Establish a heavy metal pollution threshold, use the calculated heavy metal remediation index to correct the heavy metal concentration index to obtain a corrected value of the heavy metal concentration index, compare the corrected value of the heavy metal concentration index with the heavy metal pollution threshold, and determine the remediation effect of heavy metals in banana forest soil.

[0013] Compared with the prior art, the present invention has the following beneficial effects: First, the present invention introduces Eisenia fetida and biochar, and utilizes their ecological characteristics and adsorption capacity to efficiently repair heavy metals in banana forest soil, significantly improving the shortcomings of traditional methods. This bioremediation strategy can not only reduce the secondary pollution that may be caused by chemical remediation methods, but also enhance the ecological health and sustainable utilization capacity of the soil. At the same time, the bioremediation process combines dynamic data collection and intelligent analysis to achieve real-time dynamic monitoring of heavy metal concentrations and remediation effects, ensuring that the remediation measures are scientific, efficient and eco-friendly; Secondly, the present invention breaks through the limitations of traditional remediation technology in evaluating remediation effects through the collection and processing of characteristic parameters, the calculation of heavy metal concentration index, and the intelligent determination of remediation effects. This systematic and intelligent detection method not only improves the efficiency and accuracy of heavy metal pollution remediation, but also provides a basis for scientific decision-making on remediation effects, opening up a new direction for research and practice in the field of pollution control; The present invention realizes the efficient restoration and intelligent detection of heavy metals in banana forest soil by introducing Eisenia fetida earthworm, biochar and artificial intelligence technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the system module flow of the present invention.

[0015] Figure 2 It is a schematic diagram of the overall method flow of the present invention. DETAILED DESCRIPTION

[0016] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0017] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0018] Example: See also Figure 1 , an ecological detection system based on cultivating earthworms to repair heavy metals in banana forest soil, the specific steps include: The regional characteristic parameter acquisition module is used to collect the heavy metal related characteristic parameters in the banana forest soil before restoration. The characteristic parameters include soil value score, heavy metal ion concentration, soil mineral concentration, and soil sand ratio; A heavy metal concentration index generation module, wherein the heavy metal concentration index generation module is used to select Eisenia deliciosa, add biochar and place them in the banana forest restoration area for restoration. After the experiment is completed, characteristic parameter data after restoration is measured, and the difference between each characteristic parameter before and after restoration is calculated, and a heavy metal concentration index is generated according to the calculated difference between each characteristic parameter. A dynamic analysis module for earthworm excrement and biochar, which is used to calculate the change in earthworm excrement and biochar, and to generate a heavy metal remediation index by combining the change in earthworm excrement and biochar; The threshold correction and restoration effect evaluation module is used to establish a heavy metal pollution threshold, and use the calculated heavy metal restoration index to correct the heavy metal concentration index to obtain a heavy metal concentration index correction value, and compare the obtained heavy metal concentration index correction value with the heavy metal pollution threshold to determine the restoration effect of heavy metals in banana forest soil.

[0019] It should be noted that the accuracy and reliability of the experimental results can be ensured by cleaning, standardizing and matching the collected characteristic parameter data. Especially when studying the effect of soil heavy metal remediation, the actual effect of remediation measures and their impact on the environment can be more accurately evaluated. The propensity score matching method and linear adjustment can be used to further balance the data distribution, making the experimental analysis more rigorous and controllable.

[0020] Therefore, it is necessary to preprocess the collected characteristic parameter data, and the method is as follows: Data cleaning of feature data includes detection and deletion of outliers and duplicate data, processing of missing values, using statistical methods to identify outliers and duplicate data in feature data, deleting outliers and duplicate data in feature data, and using the mean, median or mode of feature data to fill in missing values ​​in feature data; The feature data is normalized as minimum-maximum normalization, scaling the data to Within the range, all feature data have the same scale, based on the formula: ; in, is the feature data after normalization. is the original feature data, is the minimum value of the same type of feature data in the data set. It is the maximum value of the same type of feature data in the dataset.

[0021] It should be noted that by calculating the difference in various characteristic parameters of the soil before and after remediation, the heavy metal concentration index is generated, which can effectively evaluate the changes in heavy metal pollution and the remediation effect during the soil remediation process. The heavy metal ion concentration, mineral concentration, and sand-soil ratio of the soil have an important impact on soil quality and plant growth. The value score is a key indicator for measuring soil health. By comprehensively considering these factors, the generated heavy metal concentration index can provide a quantitative basis for the effect of soil remediation, thereby providing scientific support for relevant decision-making and promoting the optimization of environmental governance and ecological restoration.

[0022] In the regional characteristic parameter acquisition module, the collected heavy metal concentration ions mainly include lead, cadmium, chromium, and mercury ions in the soil. The concentrations of these heavy metal ions are measured, and the average of these ion concentrations is used as the heavy metal ion concentration; according to the same method mentioned above, the collected soil mineral concentration mainly includes phosphorus, potassium, nitrogen, magnesium, and sulfur. The concentrations of these mineral ions are measured, and the average of these ion concentrations is used as the soil mineral concentration.

[0023] Therefore, the difference between each characteristic parameter before and after the restoration is calculated, and the heavy metal concentration index is generated according to the calculated difference between each characteristic parameter. The method is as follows: First, perform minimum-maximum normalization on the feature data and scale the data to Within the range, all feature data have the same scale, and then the feature data is cleaned, including the detection and deletion of outliers and duplicate data, and the processing of missing values. Statistical methods are used to identify outliers and duplicate data in feature data, delete outliers and duplicate data in feature data, and use the mean, median or mode of feature data to fill in missing values ​​in feature data; The difference between each characteristic parameter before and after repair is calculated based on the following formula: ; ; ; ; in, , , They represent the differences in heavy metal ion concentration, soil mineral concentration, and soil sand ratio before and after banana forest restoration. , , , They represent the heavy metal ion concentration, soil mineral concentration, soil sand ratio and soil Value rating, , , , Represents the heavy metal ion concentration, soil mineral concentration, soil sand ratio and soil Value rating, Soil before and after restoration The difference in value ratings; The standard for scoring the value is: The value score is set to divide, when Value is When Value Rating ,when Value is or When Value Rating ,when Value is or When Value Rating ,when Value less than or greater than When Value Rating ; In the above In the value scoring criteria, Value is When Value Rating , Value is Indicates that the soil is neutral, which is generally considered to be the ideal environment for plant growth, because most plants can obtain the best nutrient absorption and growth conditions in neutral soil, so Value is , rated full marks When Value is or When Value Rating , these two intervals represent soils that are slightly acidic or alkaline. Although this type of soil can still support the growth of most plants, it may affect the nutrient absorption or growth of some plants compared to neutral soil. In this case, the score is When Value is or When Value Rating , Low or high soil is usually not conducive to plant growth. Too acidic or alkaline soil may cause certain nutrients such as nitrogen, phosphorus and potassium to be ineffectively absorbed by plants, thus affecting plant growth. Therefore, soil When the value is in this range, the score is When the soil is in poor condition, it needs to be repaired or improved. Value less than or greater than When Value Rating , this extreme soil pH usually cannot support the growth of most plants and may also have a significant impact on the environment. For example, soil that is too acidic or alkaline may cause serious damage to microorganisms and soil biological communities, thereby affecting soil health. Therefore, extremely acidic or alkaline soils are scored as points, indicating very poor soil quality.

[0024] This scoring system can quantify the Changes, avoid direct use The scoring system can also reflect the influence of soil acidity and alkalinity on plant growth in a concise and clear manner, thereby helping to evaluate the effectiveness of restoration measures. The scoring system helps to determine the goal and extent of restoration and ensure that soil The value is restored to the state most suitable for plant growth, especially the neutral soil environment.

[0025] The heavy metal concentration index is generated based on the formula: ; in, Represents the generated heavy metal concentration index; in the above formula for calculating the heavy metal concentration index, when Difference in value rating The larger the heavy metal concentration index decrease, which means that after restoration, the strong acid and strong alkaline state of the original banana forest soil has been improved to a neutral state; when the difference in heavy metal ion concentration When it gets bigger, The concentration of heavy metal ions in the surface soil decreased, and the soil was effectively improved; when the difference in soil mineral concentration Increase, This indicates that in the process of earthworms repairing heavy metal soil, the consumption of organic matter increased, the mineral concentration decreased, and the degree of repair was greater; when the sand-soil ratio difference Increase, The decrease means that the current sand-to-soil ratio is reduced, and the sand content in the soil is reduced after restoration, and the restoration effect is obvious; in summary, the heavy metal concentration index The smaller the better, indicating a good degree of heavy metal soil remediation.

[0026] It should be noted that the method for generating the heavy metal remediation index can quantify and evaluate the effect of remediation measures on heavy metal pollution by calculating the changes in earthworm excrement and biocarbon content before and after remediation. The formula combines two key variables and fully reflects the comprehensive effect of bioremediation and material improvement on pollution remediation. The importance of this index lies in that, by accurately calculating the remediation effect, it can provide a scientific basis for the optimization of remediation strategies, promote the scientific and efficient pollution control, and provide an important reference indicator for the restoration of soil quality and environmental sustainable development.

[0027] Therefore, it is necessary to generate a heavy metal remediation index based on the following method: Obtain the earthworm excrement content and biocarbon content before and after restoration in the restoration area, calculate the change in earthworm excrement and biocarbon to generate the heavy metal restoration index. The calculation formula for the heavy metal restoration index is: ; in, Indicates the heavy metal remediation index, , are the contents of earthworm excrement before and after restoration, , are the biomass carbon contents before and after restoration respectively; in the above formula, This part of the formula uses The index with the base as the index represents the change in earthworm excrement before and after restoration for the heavy metal restoration index The impact of The bigger, The smaller it is, the more heavy metal soil the earthworms have absorbed and digested, which leads to an increase in excrement, indicating a good restoration effect. In this part of the formula, a logarithmic function is used to characterize the biocarbon content before and after restoration to describe the heavy metal restoration index. The impact of The bigger, The smaller it is, the greater the biocarbon consumption is in the process of eliminating the heavy metal residues remaining in earthworm excrement and removing the heavy metal residues remaining in the soil, indicating that the restoration effect is good and the amount of heavy metal soil restored is large; therefore, The smaller it is, the lower the concentration of heavy metals in the soil or environment after remediation, which shows that the remediation measures are effective in controlling heavy metal pollution.

[0028] It should be noted that the revised heavy metal concentration index correction value obtained through the correction formula can more comprehensively and dynamically reflect the real risk level of heavy metal pollution in the environment, and can combine environmental remediation capabilities and pollution characteristics to avoid the errors caused by traditional fixed threshold assessments. This method can provide a scientific basis for pollution risk assessment and governance strategies, thereby optimizing the allocation of remediation resources, improving the efficiency of pollution control, and ultimately helping to achieve sustainable development of the ecological environment.

[0029] Therefore, it is necessary to use the calculated heavy metal remediation index to correct the heavy metal concentration index to obtain the corrected value of the heavy metal concentration index. The formula is: ; in, Indicates the corrected value of heavy metal concentration index, is the heavy metal concentration index.

[0030] In the above formula, The reason for the revision is that since environmental changes are uncertain factors, the preset thresholds often change due to external factors, and the smaller the heavy metal concentration index output in the heavy metal detection model, the better the remediation effect, so it is necessary to further limit By reducing the specific value of the heavy metal concentration index, we can more sensitively and dynamically capture the changes in the heavy metal concentration index and promptly determine whether the soil remediation effect meets the standards.

[0031] It should be noted that the use of heavy metal remediation index to correct the heavy metal pollution threshold is of great significance, because this method can more comprehensively and dynamically reflect the real risk level of heavy metal pollution in the environment. , the fixed preset threshold Corrected to a more adaptive correction value It effectively combines the environmental restoration capacity and pollution characteristics, avoids the deviation that may be caused by traditional fixed threshold assessment, and then corrects the heavy metal concentration index by judging Relationship with pollution threshold, scientifically quantify the restoration results, when When When the pollution exceeds the standard, it indicates that the pollution is still exceeding the standard and needs further repair. This method provides a scientific basis for pollution risk assessment and governance optimization, improves resource utilization efficiency, and promotes the sustainable development of the ecological environment.

[0032] Therefore, it is necessary to compare the obtained heavy metal concentration index correction value with the heavy metal pollution threshold to determine the restoration effect of heavy metals in banana forest soil. The logical formula is as follows: ; in, Represents a logical value for judging the effect of heavy metal restoration in banana forest soil. When the heavy metal concentration index correction value is greater than the heavy metal pollution threshold, it indicates that the heavy metal concentration in the banana forest soil is still above the standard and needs to be repaired; when When the heavy metal concentration index did not exceed the heavy metal pollution threshold, it showed that the heavy metal concentration in the banana forest soil was at a normal level and the restoration effect was good. is the heavy metal pollution threshold.

[0033] See also Figure 2 The present invention also provides an ecological detection method for restoring heavy metals in banana forest soil based on cultivating earthworms, and the ecological detection method is used to execute the above-mentioned ecological detection system for restoring heavy metals in banana forest soil based on cultivating earthworms, comprising: Step 1: Collect the heavy metal related characteristic parameters in the banana forest soil before restoration, including soil value score, heavy metal ion concentration, soil mineral concentration, and soil sand ratio; Step 2: Select Eisenia deltoides and add biochar to the banana forest restoration area for restoration. After the experiment, measure the characteristic parameter data after restoration, and calculate the difference between each characteristic parameter before and after restoration. The heavy metal concentration index is generated based on the calculated difference between each characteristic parameter. Step 3: Calculate the change in earthworm excrement and biochar, and combine the change in earthworm excrement and biochar to generate a heavy metal remediation index; Step 4: Establish a heavy metal pollution threshold, use the calculated heavy metal remediation index to correct the heavy metal concentration index to obtain a corrected value of the heavy metal concentration index, compare the corrected value of the heavy metal concentration index with the heavy metal pollution threshold, and determine the remediation effect of heavy metals in banana forest soil.

[0034] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0035] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0036] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0037] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An ecological detection system for repairing heavy metals in banana forest soil based on cultivating earthworms, characterized in that: The specific steps include: The regional characteristic parameter acquisition module is used to collect the heavy metal related characteristic parameters in the banana forest soil before restoration. The characteristic parameters include soil value score, heavy metal ion concentration, soil mineral concentration, and soil sand ratio; A heavy metal concentration index generation module, wherein the heavy metal concentration index generation module is used to select Eisenia deliciosa, add biochar and place them in the banana forest restoration area for restoration. After the experiment is completed, characteristic parameter data after restoration is measured, and the difference between each characteristic parameter before and after restoration is calculated, and a heavy metal concentration index is generated according to the calculated difference between each characteristic parameter. A dynamic analysis module for earthworm excrement and biochar, which is used to calculate the change in earthworm excrement and biochar, and to generate a heavy metal remediation index by combining the change in earthworm excrement and biochar; The threshold correction and restoration effect evaluation module is used to establish a heavy metal pollution threshold, and use the calculated heavy metal restoration index to correct the heavy metal concentration index to obtain a heavy metal concentration index correction value, and compare the obtained heavy metal concentration index correction value with the heavy metal pollution threshold to determine the restoration effect of heavy metals in banana forest soil.

2. The ecological detection system for repairing heavy metals in banana forest soil based on cultivating earthworms according to claim 1 is characterized in that: The difference between each characteristic parameter before and after the restoration is calculated, and the heavy metal concentration index is generated according to the calculated difference between each characteristic parameter. The method is as follows: First, perform minimum-maximum normalization on the feature data and scale the data to Within the range, all feature data have the same scale, and then the feature data is cleaned, including the detection and deletion of outliers and duplicate data, and the processing of missing values. Statistical methods are used to identify outliers and duplicate data in feature data, delete outliers and duplicate data in feature data, and use the mean, median or mode of feature data to fill in missing values ​​in feature data; The difference between each characteristic parameter before and after repair is calculated based on the following formula: ； ； ； ； in, , , They represent the differences in heavy metal ion concentration, soil mineral concentration, and soil sand ratio before and after banana forest restoration. , , , They represent the heavy metal ion concentration, soil mineral concentration, soil sand ratio and soil Value rating, , , , Represents the heavy metal ion concentration, soil mineral concentration, soil sand ratio and soil Value rating, Soil before and after restoration The difference in value ratings; The standard for scoring the value is: The value score is set to divide, when When the value is 7, the corresponding Value Rating ,when Value is or When Value Rating ,when Value is or When Value Rating ,when Value less than or greater than When Value Rating ; The heavy metal concentration index is generated based on the formula: ； in, Indicates the generated heavy metal concentration index.

3. The ecological detection system for repairing heavy metals in banana forest soil based on cultivating earthworms according to claim 1 is characterized in that: The method for generating the heavy metal remediation index is based on: Obtain the earthworm excrement content and biocarbon content before and after restoration in the restoration area, calculate the change in earthworm excrement and biocarbon to generate the heavy metal restoration index. The calculation formula for the heavy metal restoration index is: ； in, Indicates the heavy metal remediation index, , are the contents of earthworm excrement before and after restoration, , These are the biochar contents before and after restoration, respectively.

4. The ecological detection system for repairing heavy metals in banana forest soil based on cultivating earthworms according to claim 3 is characterized in that: The heavy metal remediation index calculated is used to correct the heavy metal concentration index to obtain the heavy metal concentration index correction value, based on the formula: ； in, Indicates the corrected value of heavy metal concentration index, is the heavy metal concentration index.

5. The ecological detection system for repairing heavy metals in banana forest soil based on cultivating earthworms according to claim 4 is characterized in that: The obtained heavy metal concentration index correction value was compared with the heavy metal pollution threshold to determine the restoration effect of heavy metals in banana forest soil. The logical formula was as follows: ； in, Represents a logical value for judging the effect of heavy metal restoration in banana forest soil. When the heavy metal concentration index correction value is greater than the heavy metal pollution threshold, it indicates that the heavy metal concentration in the banana forest soil is still above the standard and needs to be repaired; when When the heavy metal concentration index did not exceed the heavy metal pollution threshold, it showed that the heavy metal concentration in the banana forest soil was at a normal level and the restoration effect was good. is the heavy metal pollution threshold.

6. An ecological detection method for repairing heavy metals in banana forest soil based on cultivating earthworms, characterized in that: The ecological detection method is used to implement the ecological detection system for restoring heavy metals in banana forest soil based on cultured earthworms according to any one of claims 1 to 5, comprising: Step 1: Collect the heavy metal related characteristic parameters in the banana forest soil before restoration, including soil value score, heavy metal ion concentration, soil mineral concentration, and soil sand ratio; Step 2: Select Eisenia deltoides and add biochar to the banana forest restoration area for restoration. After the experiment, measure the characteristic parameter data after restoration, and calculate the difference between each characteristic parameter before and after restoration. The heavy metal concentration index is generated based on the calculated difference between each characteristic parameter. Step 3: Calculate the change in earthworm excrement and biochar, and combine the change in earthworm excrement and biochar to generate a heavy metal remediation index; Step 4: Establish a heavy metal pollution threshold, use the calculated heavy metal remediation index to correct the heavy metal concentration index to obtain a corrected value of the heavy metal concentration index, compare the corrected value of the heavy metal concentration index with the heavy metal pollution threshold, and determine the remediation effect of heavy metals in banana forest soil.

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