Soil remediation formula optimization method based on solid waste raw material charcoal improvement

Abstract

The invention relates to the technical field of soil remediation, in particular to a soil remediation formula optimization method based on solid waste raw material charcoal improvement, which comprises the following steps: acquiring a coal gangue powder material flow and a sludge material flow, respectively performing component detection on a soil sample set, the coal gangue powder material flow and the sludge material flow to obtain a component content report, performing multi-factor combination on the plurality of biochar, the plurality of microbiota and the plurality of enrichment plants to obtain a plurality of first initial raw material combinations; and constructing a plurality of unit soil remediation experiment groups based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow, and performing a soil remediation experiment on the plurality of unit soil remediation experiment groups based on a preset test pause condition to obtain an optimal scheme. According to the invention, the formula optimization of targeted soil remediation can be realized by utilizing the charcoal, the coal gangue and the municipal sludge.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of soil remediation, in particular to a soil remediation formula optimization method based on solid waste raw material biochar improvement. BACKGROUND

[0002] With the continuous growth of global population and the acceleration of industrialization process, soil degradation problems are becoming increasingly serious, which has become an important challenge to agricultural production, ecological balance and sustainable development.

[0003] In recent years, solid waste resourceization is often applied to soil remediation. For example, coal gangue, a major solid waste in the process of coal mining and washing, can improve soil structure, adjust pH value and provide mineral nutrients to play an improvement role. Municipal sludge contains rich organic matter and nutrients such as nitrogen and phosphorus, which can improve soil fertility. Biochar can fix pollutants and promote microbial colonization due to its porous structure and adsorption capacity. There are also enriched plants that are planted on the soil that needs to be remediated to achieve the effect of soil remediation.

[0004] Although the above methods can realize the combined application of solid waste materials, they lack a dynamic formula optimization method for different characteristics of degraded soil, and do not systematically integrate the synergistic effects of coal gangue, municipal sludge, biochar, microbial communities and enriched plants to optimize the soil remediation formula. Therefore, a formula optimization method is needed that can use biochar, coal gangue and municipal sludge to achieve targeted soil remediation. SUMMARY

[0005] The present application provides a soil remediation formula optimization method based on solid waste raw material biochar improvement, and a computer readable storage medium, which mainly aims to optimize the formula for targeted soil remediation by using biochar, coal gangue and municipal sludge.

[0006] To achieve the above purpose, the present application provides a soil remediation formula optimization method based on solid waste raw material biochar improvement, which comprises: Obtaining coal gangue material flow and municipal sludge material flow, performing pretreatment on the coal gangue material flow, and performing compost pretreatment on the municipal sludge material flow to obtain coal gangue powder material flow and sludge material flow; Performing soil deep and shallow layer sampling in a pre-constructed target area to obtain a soil sample set; Performing component detection on the soil sample set, the coal gangue powder material flow and the sludge material flow respectively to obtain a component content report; Obtaining a plurality of biochars, a plurality of microbial groups and a plurality of enriched plants, performing multi-factor combination on the plurality of biochars, the plurality of microbial groups and the plurality of enriched plants to obtain a plurality of first initial raw material combinations; Based on the ingredient content report, a plurality of first initial raw material combinations, a soil sample set, a coal gangue powder material stream, and a sludge material stream, a plurality of unit soil remediation experiment groups are constructed, and based on a preset test suspension condition, soil remediation experiments are performed on the plurality of unit soil remediation experiment groups to obtain an optimal scheme.

[0007] Optionally, the coal gangue material stream is pre-processed, and the municipal sludge material stream is subjected to compost pre-processing to obtain a coal gangue powder material stream and a sludge material stream, comprising: The coal gangue material stream is input into a pre-constructed toothed roll crusher to obtain coarsely crushed coal gangue, and based on a pre-constructed fine particle size sequence, the coarsely crushed coal gangue is finely crushed using a pre-constructed double-roll crusher to obtain a plurality of target particle size coal gangues, wherein the fine particle size sequence includes a plurality of fine particle sizes, and the fine particle sizes correspond one-to-one to the target particle size coal gangues; The smallest fine particle size coal gangue is extracted from the plurality of target particle size coal gangues, and the coal gangue powder material stream is obtained based on the plurality of target particle size coal gangues and the smallest fine particle size coal gangue; A plurality of compost raw materials are used to compost the municipal sludge material stream based on a preset composting ratio to obtain a composted sludge material stream, and after confirming that the composted sludge material stream meets a preset availability condition, the composted sludge material stream is confirmed as the sludge material stream, wherein the plurality of compost raw materials include sawdust, straw, and mature compost.

[0008] Optionally, the coal gangue powder material stream is obtained based on the plurality of target particle size coal gangues and the smallest fine particle size coal gangue, comprising: A powder separation device is obtained, wherein the powder separation device includes a fan, a transition device, a centrifugal settling device, and a powder collection device; The powder fine particle sizes are sequentially extracted from the pre-constructed powder fine particle size sequence, the target coal gangue sieved from the smallest fine particle size coal gangue is subjected to powder grinding using a pre-constructed powder grinding device and the powder fine particle sizes to obtain initial powder coal gangue, the initial powder coal gangue is introduced into the transition device, and the fan wind force is set based on the powder fine particle sizes to obtain a preliminary fan; The initial powder coal gangue in the transition device is subjected to fan sorting using the preliminary fan to obtain coal gangue powder and to-be-settled coal gangue, the to-be-settled coal gangue is subjected to centrifugal settling operation using the centrifugal settling device, and the coal gangue powder is subjected to powder collection operation using the powder collection device to obtain settled coal gangue and initial unit coal gangue powder; extracting unit coal gangue powder corresponding to a powder fine granularity from the initial unit coal gangue powder, and returning the reserved initial unit coal gangue powder as the minimum fine granularity coal gangue to the operation of sequentially extracting powder fine granularity from the pre-constructed powder fine granularity sequence until the powder fine granularity in the powder fine granularity sequence is extracted; aggregating the unit coal gangue powder and the plurality of target granularity coal gangues to obtain a plurality of unit coal gangue powders, and aggregating the settled coal gangues to obtain a plurality of settled coal gangues; based on the plurality of unit coal gangue powders, performing a reprocessing operation on the plurality of settled coal gangues to obtain a plurality of unit coal gangue powder material streams, and recording the plurality of unit coal gangue powder material streams as coal gangue powder material streams.

[0009] Optionally, the plurality of unit soil remediation experiment groups are constructed based on the ingredient content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material stream, and the sludge material stream, and include: based on the coal gangue powder material stream and the sludge material stream, designing a plurality of second original parameter groups, wherein the second original parameter groups correspond one-to-one to the unit coal gangue powder material streams, and each second original parameter group includes the same coal gangue proportion sequence and sludge proportion sequence; sequentially extracting soil samples from the soil sample set, and performing the following operations on the extracted soil samples: performing data integration and analysis on the ingredient content report to obtain a physicochemical property report of the soil samples, based on the physicochemical property report, screening a plurality of first target raw material combinations from the plurality of first initial raw material combinations, and based on the plurality of first target raw material combinations, constructing a plurality of first original parameter groups for soil remediation experiments, wherein the first original parameter groups correspond one-to-one to the first target raw material combinations, the first original parameter groups include one biochar, one microorganism, and one enriched plant, and different first original parameter groups include the same biochar content proportion sequence and the same microorganism content proportion sequence; based on the pre-constructed orthogonal experiment method, the plurality of first original parameter groups, and the plurality of second original parameter groups, obtaining a plurality of unit soil remediation experiment groups.

[0010] Optionally, the soil remediation experiments are performed on the plurality of unit soil remediation experiment groups based on the preset test suspension conditions to obtain an optimal scheme, and include: performing the following operations on each unit soil remediation experiment group in the plurality of unit soil remediation experiment groups: Soil remediation experiments were conducted on the unit soil remediation experimental group. During the soil remediation experiment, remediated soil was collected at preset remediation effect testing time intervals. The remediated soil was subjected to component testing based on target remediation indicators to obtain unit test results. The target remediation indicators include multiple unit target remediation indicators. If the unit test results do not meet the preset test pause conditions, return to the step of collecting remediation soil at the preset remediation effect verification time interval until the unit test results meet the preset test pause conditions. By summarizing the test results from multiple units, the original remediation data of soil remediation experimental groups from multiple units were obtained. The original repair data is summarized to obtain the original repair dataset, and the original repair dataset is evaluated and analyzed to obtain the optimal solution.

[0011] Optionally, if the unit test result does not meet the preset test pause conditions, it includes: For each of the multiple unit target repair indicators, perform the following operations: Based on the unit test results, the pre-constructed two-dimensional indicator graph is filled with test result values ​​to obtain the filled coordinates. The unit target repair index and the indicator two-dimensional graph are then considered. Figure One One-to-one correspondence; Extract the preceding coordinates corresponding to the filling coordinates, and calculate the absolute value of the slope of the fitted line of the preceding coordinates and the filling coordinates to obtain the repair efficiency; If the repair efficiency is greater than or equal to the preset efficiency threshold, then it is confirmed that the unit target repair index does not meet the preset test pause conditions. If the repair efficiency is less than the efficiency threshold, it is determined whether the time corresponding to the filling coordinate is less than the preset shortest repair time. If the time corresponding to the filling coordinate is less than the preset shortest repair time, it is confirmed that the unit target repair index does not meet the preset test pause condition. If it is confirmed that among multiple unit target repair indicators, there is a unit target repair indicator that does not meet the preset test pause conditions, then the unit test result is confirmed to not meet the preset test pause conditions.

[0012] Optionally, the process of evaluating and parsing the original repair dataset to obtain the optimal solution includes: Extract the target original data from the original repair dataset, and perform the following operations on all target original data: The following operations were performed on each of the multiple unit soil remediation experimental groups corresponding to the target raw data: Extract the unit target repair indicators sequentially from multiple unit target repair indicators to obtain the target indicators, and perform the following operations on each target indicator: Identify the complete index repair graph corresponding to the target index from the target raw data, perform curve fitting on the complete index repair graph, obtain the complete index curve graph, and identify the suboptimal repair cutoff point from the complete index curve graph, wherein the horizontal coordinate of the suboptimal repair cutoff point is greater than the preset shortest repair time corresponding to the target index, and the repair efficiency corresponding to the suboptimal repair cutoff point is less than the preset efficiency threshold value; Summarize the suboptimal repair cutoff points to obtain a suboptimal repair cutoff point group corresponding to a plurality of unit target repair indexes, and if it is confirmed to retain the unit soil repair experiment group based on the suboptimal repair cutoff point group, the unit soil repair experiment group is confirmed as the target formula group. Summarize the target formula group to obtain a target formula group set corresponding to the soil sample, and obtain the best scheme based on the target formula group set.

[0013] Optionally, if it is confirmed to retain the unit soil repair experiment group based on the suboptimal repair cutoff point group, it includes: Extract the suboptimal repair cutoff points from the suboptimal repair cutoff point group in turn, if the vertical coordinate corresponding to the suboptimal repair cutoff point is greater than or equal to the preset target index repair warning value, mark the target index corresponding to the suboptimal repair cutoff point as a failed index, and count the number of failed indexes corresponding to the suboptimal repair cutoff point group. If the number of failed indexes is less than the preset number of failed index thresholds, it is confirmed to retain the unit soil repair experiment group.

[0014] Optionally, the best scheme is obtained based on the target formula group set, which includes: The target formula group in the target formula group set is executed as follows: Obtain a plurality of evaluation indexes, wherein the evaluation indexes include: a plurality of unit target repair index repair time, a target repair index overall repair satisfaction rate, a formula configuration cost, a soil PH fluctuation stability rate, a soil conductivity, a clay particle rate, a silt particle rate, a sand particle rate, a porosity, a water retention, an organic matter content, and a nitrogen phosphorus potassium content. Based on the pre-constructed entropy weight method and the plurality of evaluation indexes, calculate the overall measurement score corresponding to the target formula group; Summarize the overall measurement score to obtain an overall measurement score set of the target formula group set, identify a preset number of overall measurement scores from the overall measurement score set to obtain a suboptimal score set, and obtain all target formula groups corresponding to the suboptimal score set to obtain an optimized formula group set. Based on the optimized formula group set, perform a multi-soil synchronous experiment based on the soil sample set to obtain a multi-soil target formula group set, and obtain the target best scheme based on the multi-soil target formula group set and the optimized formula group set.

[0015] To achieve the above purpose, the present application also provides a soil repair formula optimization system based on solid waste raw material biochar improvement, which comprises: The material flow pre-processing module is used for obtaining the coal gangue material flow and the municipal sludge material flow, performing pre-processing on the coal gangue material flow, and performing compost pre-processing on the municipal sludge material flow, to obtain a coal gangue powder material flow and a sludge material flow. The raw material obtaining module is used for performing soil deep and shallow sampling in a pre-constructed target area to obtain a soil sample set, performing component detection on the soil sample set, the coal gangue powder material flow and the sludge material flow respectively to obtain a component content report, obtaining a plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants, and performing multi-factor combination on the plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants to obtain a plurality of first initial raw material combinations. The experiment group constructing module is used for constructing a plurality of unit soil remediation experiment groups based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow. The optimization module is used for performing soil remediation experiments on the plurality of unit soil remediation experiment groups based on a pre-set test pause condition to obtain an optimal scheme.

[0016] To solve the above problems, the present application also provides an electronic device, which comprises: A memory stores at least one instruction; A processor executes the instruction stored in the memory to realize the above-mentioned soil remediation formula optimization method based on solid waste raw material biochar improvement.

[0017] To solve the above problems, the present application also provides a computer readable storage medium, which stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to realize the above-mentioned soil remediation formula optimization method based on solid waste raw material biochar improvement.

[0018] The present application is to solve the problems described in the background art. The coal gangue material stream and the municipal sludge material stream are obtained. The coal gangue material stream is pretreated, and the municipal sludge material stream is compost pretreated to obtain a coal gangue powder material stream and a sludge material stream. According to the mineral composition, physical properties and slow-release nutrient properties of coal gangue, coal gangue is used as one of the raw materials for soil remediation. According to the characteristics of the components contained in the treated municipal sludge, which can repair the soil and promote plant growth, the municipal sludge is used as one of the raw materials for soil remediation. Soil samples are obtained by sampling the shallow and deep layers of the target area. The component content report is obtained by detecting the components of the soil sample set, the coal gangue powder material stream and the sludge material stream. The present application detects different raw materials to provide reference for multiple evaluation indexes. A plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants are obtained. The plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants are combined to obtain a plurality of first initial raw material combinations. Based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material stream and the sludge material stream, a plurality of unit soil remediation experimental groups are constructed. It can be seen that according to the different component contents of the soil samples, the different component contents of the coal gangue, and the different component contents of the sludge material stream, different biochar and different enrichment plants are selected for soil remediation. The soil is repaired in a targeted manner. Based on the preset test pause condition, the soil remediation experiment of the plurality of unit soil remediation experimental groups is carried out to obtain the best scheme. It can be seen that the present application fits the complete index curve graph, and intercepts the suboptimal repair cutoff point, more accurately finds the point that meets the actual situation and the repair efficiency is less than the preset efficiency threshold, and also finds the formula that meets the target demand through the entropy weight method. Further, the present application also collects the optimization formula group set corresponding to each soil sample to obtain a summary optimization formula group set. The soil remediation experiment is carried out again by using each soil sample in the summary optimization formula group set, and the method (entropy weight method) in the foregoing embodiment of the present application is used for evaluation, so that a multi-soil target formula group set with general applicability can be screened out. Therefore, the present application can realize the formula optimization of targeted soil remediation using biochar, coal gangue and municipal sludge. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 The flowchart of the soil remediation formula optimization method based on solid waste raw material biochar improvement provided by an embodiment of the present application is shown in the figure; Figure 2 The functional module diagram of the soil remediation formula optimization system based on solid waste raw material biochar improvement provided by an embodiment of the present application is shown in the figure; Figure 3A structural schematic diagram of an electronic device for implementing the method for optimizing a soil remediation formula based on a solid waste raw material biochar improved soil is provided in an embodiment of the present application.

[0020] Legend of reference signs: 1, electronic device; 10, processor; 11, memory; 12, bus.

[0021] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments in conjunction with the accompanying drawings. DETAILED DESCRIPTION

[0022] It should be understood that the specific embodiments described herein are merely intended to explain the present application and not to limit the present application.

[0023] An embodiment of the present application provides a method for optimizing a soil remediation formula based on a solid waste raw material biochar improved soil. The execution subject of the method for optimizing a soil remediation formula based on a solid waste raw material biochar improved soil includes but is not limited to at least one of electronic devices such as a server, a terminal, etc., which can be configured to execute the method provided by the present application. In other words, the method for optimizing a soil remediation formula based on a solid waste raw material biochar improved soil can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0024] Reference Figure 1 Fig. 1 shows a flowchart of a method for optimizing a soil remediation formula based on a solid waste raw material biochar improved soil provided by an embodiment of the present application. In the embodiment, the method for optimizing a soil remediation formula based on a solid waste raw material biochar improved soil includes: S1, obtaining a coal gangue material flow and a municipal sludge material flow, performing pretreatment on the coal gangue material flow, and performing compost pretreatment on the municipal sludge material flow to obtain a coal gangue powder material flow and a sludge material flow.

[0025] It can be understood that the coal gangue material flow is a material flow composed of coal gangue, which can be collected from a coal mine. Before obtaining the coal gangue material flow, the collected coal gangue is subjected to crushing, drying, impurity removal and screening, etc. The mineral composition, physical properties and slow-release nutrients of the coal gangue itself can improve the soil function, so the coal gangue is used as one of the raw materials for soil remediation in the present application.

[0026] Specifically, the municipal sludge material flow is a material flow composed of municipal sludge, which can come from semi-solid by-products generated in the sewage treatment process or domestic sludge. After treatment, the components contained in the municipal sludge can repair the soil, promote plant growth, etc., so the present application uses municipal sludge as one of the raw materials for soil remediation.

[0027] Specifically, the pre-treatment is performed on the coal gangue material flow, and the compost pre-treatment is performed on the municipal sludge material flow to obtain a coal gangue powder material flow and a sludge material flow, which includes: The coal gangue material flow is input into a pre-constructed toothed roll crusher to obtain coarsely crushed coal gangue, and based on a pre-constructed fine particle size sequence, a pre-constructed double-roll crusher is used to finely crush the coarsely crushed coal gangue to obtain a plurality of target particle size coal gangue, wherein the fine particle size sequence includes a plurality of fine particle sizes, and the fine particle sizes correspond one-to-one to the target particle size coal gangue; The smallest fine particle size coal gangue is extracted from the plurality of target particle size coal gangue, and the coal gangue powder material flow is obtained based on the plurality of target particle size coal gangue and the smallest fine particle size coal gangue; A plurality of compost raw materials are used to compost the municipal sludge material flow based on a pre-set compost ratio to obtain a compost sludge material flow, and after confirming that the compost sludge material flow meets the pre-set available conditions, the compost sludge material flow is confirmed as the sludge material flow, wherein the plurality of compost raw materials include sawdust, straw, and mature compost.

[0028] It can be understood that the toothed roll crusher and the double-roll crusher are devices for crushing coal gangue, which are prior art and will not be described here. The target particle size coal gangue is a material flow with a particle size of the fine particle size, the fine particle size sequence is a sequence artificially constructed, specific parameters can be obtained by consulting literature, the fine particle size is a parameter used to describe the average particle size of coal gangue, and the smallest fine particle size coal gangue is a material flow with the smallest particle size among the plurality of target particle size coal gangue, for example, the fine particle size sequence is 10mm, 5mm, and 2mm, the plurality of target particle size coal gangue is three material flows with particle sizes of 10mm, 5mm, and 2mm, and the smallest fine particle size coal gangue refers to a material flow with a particle size of 2mm. The fine crushing is an operation of crushing the coarsely crushed coal gangue by using a double-roll crusher, which is prior art and will not be described here.

[0029] Further, the multiple compost raw materials can be collected from the city periphery, and the mature compost refers to complete decomposition of organic waste (such as municipal sludge, agricultural straw, kitchen garbage, etc.) under the action of microorganisms through aerobic fermentation process, so as to achieve a stable and harmless organic fertilizer product. The preset compost ratio is a fixed ratio of the city sludge material flow, wood chips, straw and mature compost set by human beings, and the compost sludge material flow is an organic fertilizer material flow obtained by composting the city sludge material flow, wood chips, straw and mature compost according to the fixed ratio. The purpose of confirming that the compost sludge material flow meets the preset available conditions is to ensure that the city sludge does not cause secondary pollution to the soil to be repaired in subsequent use, and the available conditions refer to conditions meeting relevant standards, such as the Standard for Agricultural Sludge, etc., which are not limited in the present application.

[0030] Specifically, the coal gangue powder material flow based on multiple target particle size coal gangues and minimum fine particle size coal gangue includes: A powder separation device is obtained, wherein the powder separation device includes a fan, a transition device, a centrifugal sedimentation device and a powder collection device; The powder fine particle size is sequentially extracted from the pre-constructed powder fine particle size sequence, the target coal gangue screened from the minimum fine particle size coal gangue is subjected to powder grinding by using the pre-constructed powder grinding device and the powder fine particle size, to obtain initial powder coal gangue, the initial powder coal gangue is introduced into the transition device, and the fan wind power is set based on the powder fine particle size, to obtain a preliminary fan; The initial powder coal gangue in the transition device is subjected to fan sorting by using the preliminary fan, to obtain coal gangue powder and to-be-sedimented coal gangue, the to-be-sedimented coal gangue is subjected to centrifugal sedimentation operation by using the centrifugal sedimentation device, and the coal gangue powder is subjected to powder collection operation by using the powder collection device, to obtain sedimented coal gangue and initial unit coal gangue powder; The unit coal gangue powder corresponding to the powder fine particle size is taken out from the initial unit coal gangue powder, and the remaining initial unit coal gangue powder is returned as the minimum fine particle size coal gangue to the operation of sequentially extracting the powder fine particle size from the pre-constructed powder fine particle size sequence, until the powder fine particle size in the powder fine particle size sequence is extracted completely; The unit coal gangue powder and the multiple target particle size coal gangues are summarized, to obtain multiple unit coal gangue powders, and the sedimented coal gangues are summarized, to obtain multiple sedimented coal gangues; Based on the multiple unit coal gangue powders, the multiple sedimented coal gangues are subjected to reprocessing operation, to obtain multiple unit coal gangue powder material flows, and the multiple unit coal gangue powder material flows are recorded as coal gangue powder material flows.

[0031] It can be understood that the powder separation device is a device for screening coal gangue powder. The transition device is a device for carrying the minimum fine coal gangue before the coal gangue is subjected to powder screening. The centrifugal settling device is a device for collecting the coal gangue to be settled. The powder collection device is a device for collecting the coal gangue powder with a particle size meeting the powder fine particle size. The powder grinding device is a device for grinding the coal gangue. The particle size of the coal gangue after being ground by the powder grinding device is smaller than the particle size in the double-roller crusher.

[0032] Further, the powder fine particle size sequence includes a plurality of powder fine particle sizes, and the plurality of powder fine particle sizes are arranged from large to small. Therefore, in the operation of sequentially extracting the powder fine particle size from the pre-constructed powder fine particle size sequence, the first extracted powder fine particle size is the powder fine particle size with the largest particle size in the powder fine particle size sequence, which is smaller than the minimum fine coal gangue.

[0033] Specifically, the target coal gangue is the coal gangue screened out of the minimum fine coal gangue, which is the same as the minimum fine coal gangue. The initial powder coal gangue is the coal gangue with a particle size substantially meeting the powder fine particle size after being ground by the powder grinding device. The fan wind force is the wind force set according to the powder fine particle size, which can blow the initial powder coal gangue corresponding to the powder fine particle size. The fan sorting of the initial powder coal gangue in the transition device by using the preparatory fan means that the preparatory fan is used to perform a blowing operation on the initial powder coal gangue on the transition device with the fan wind force. At this time, the coal gangue meeting the powder fine particle size in the initial powder coal gangue will be blown up under the action of the fan wind force, and the coal gangue with a particle size larger than the powder fine particle size, which is not sufficiently ground, will not be blown up, and then the coal gangue to be settled is obtained. The present application performs a centrifugal settling operation on the coal gangue to be settled by using the centrifugal settling device, that is, collects the coal gangue to be settled, and performs a powder collection operation on the coal gangue powder by using the powder collection device, and collects the initial unit coal gangue powder.

[0034] It should be noted that the settled coal gangue is the coal gangue that is not sufficiently ground when preparing the initial powder coal gangue corresponding to the powder fine particle size. Therefore, the settled coal gangue does not meet the fine particle size required by the initial unit coal gangue powder. The present application performs a reprocessing operation on a plurality of settled coal gangues to realize the reuse of the plurality of settled coal gangues, save energy, and the main purpose of the reprocessing operation is to perform powder grinding on the settled coal gangue and identify the powder fine particle size of the coal gangue powder after powder grinding, and merge the unit coal gangue powder with the same powder fine particle size as the plurality of unit coal gangue powders to achieve the purpose of saving energy.

[0035] Further, in the process of taking out the unit coal gangue powder corresponding to the powder fine granularity from the initial unit coal gangue powder and taking the reserved initial unit coal gangue powder as the minimum fine granularity coal gangue, a part of the initial unit coal gangue powder is taken as the unit coal gangue powder corresponding to the powder fine granularity, and another part is taken as the raw material for further grinding, so that the unit coal gangue powder with smaller granularity is ground by the powder grinding device. It should be noted that, when the powder grinding of the target coal gangue screened from the minimum fine granularity coal gangue is performed for the first time by using the pre-constructed powder grinding device and the powder fine granularity, only a part of the minimum fine granularity coal gangue is taken as the target coal gangue, and the remaining part is reserved as the minimum fine granularity coal gangue. However, in the subsequent operation, because the operation of taking out the unit coal gangue powder corresponding to the powder fine granularity from the initial unit coal gangue powder and taking the reserved initial unit coal gangue powder as the minimum fine granularity coal gangue has been performed, all the minimum fine granularity coal gangue is taken as the target coal gangue for powder grinding.

[0036] For example, the granularity of the minimum fine granularity coal gangue is 20 mm, and the powder fine granularity sequence includes 5 mm and 2 mm. The minimum fine granularity coal gangue is equally divided into two equal parts. One part is reserved as the minimum fine granularity coal gangue, and the other part is taken as the target coal gangue. The target coal gangue is ground to obtain initial powder coal gangue with a granularity of 5 mm. The initial powder coal gangue in the transition device is sorted by the preparatory fan. In the initial powder coal gangue, the initial powder coal gangue that is not sufficiently ground will not be blown away, and is collected as settled coal gangue by the centrifugal settling device. The initial powder coal gangue that is sufficiently ground will be blown away and collected as initial unit coal gangue powder by the powder collecting device. Therefore, the powder fine granularity of the initial unit coal gangue powder at this time is 5 mm.

[0037] For further example, the powder fine granularity of 5 mm is equally divided into two equal parts. One part is taken as the unit coal gangue powder, and the other part is taken as the minimum fine granularity coal gangue. The operation of sequentially extracting the powder fine granularity from the pre-constructed powder fine granularity sequence is returned. At this time, the powder fine granularity to be extracted is 2 mm. At this time, the operation of powder grinding of the target coal gangue screened from the minimum fine granularity coal gangue by using the pre-constructed powder grinding device and the powder fine granularity is not performed for the first time. Therefore, the minimum fine granularity coal gangue (the powder fine granularity at this time is 2 mm) is taken as the initial powder coal gangue, and the subsequent operation is performed.

[0038] S2, soil deep and shallow sampling is performed in the pre-constructed target area to obtain a set of soil samples.

[0039] It can be understood that the soil deep and shallow layer sampling refers to sampling both the soil surface layer and the soil deep layer. The target area is the area where soil sampling is performed. Specifically, the soil surface layer refers to the soil 0-20 cm below the ground surface, and the soil deep layer refers to the soil more than 20 cm below the ground surface.

[0040] For example, in the y district of x city, sampling points are uniformly arranged, and soil samples are obtained by using the wye sampling method in the soil surface layer and the soil deep layer of each sampling point.

[0041] S3, respectively, the soil sample set, coal gangue powder material flow and sludge material flow are executed component detection, obtain component content report.

[0042] It can be understood that when the soil sample, coal gangue powder material flow and sludge material flow are executed component detection, the indexes detected are different, for example, when the soil sample is detected, the basic physicochemical properties (such as organic matter content, heavy metal pollutant content, etc.) need to be detected, the component detection of coal gangue powder material flow includes but is not limited to the detection of particle size of each unit of coal gangue powder material flow, the detection of non-metallic elements, etc., and the detection of sludge material flow includes but is not limited to the detection of organic matter content, nitrogen content, phosphorus content, heavy metal content, and bacterial population content. The method and index of the component detection are not limited in the present application, which can be realized by various existing technologies, but it should be noted that the component content report should at least include the detection of target component index, and can provide reference basis for multiple evaluation indexes.

[0043] Specifically, the component content report includes the report of each soil sample in the soil sample set, the report of each unit of coal gangue powder material flow in the coal gangue powder material flow, and the report corresponding to the sludge material flow, and the component content report is a text report.

[0044] S4, a plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants are obtained, and a plurality of first initial raw material combinations are obtained by combining the plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants.

[0045] It can be understood that different biochar and different enrichment plants can be selected for soil remediation under the condition that the component content of the soil sample, the component content of the coal gangue, and the component content of the sludge material flow are different, so the present application combines a plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants to obtain a plurality of first initial raw material combinations.

[0046] Specifically, the plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants can be obtained through literature or obtained through laboratory past experience, which is not limited in the present application. The combination is a permutation and combination operation.

[0047] For example, if the multiple biochars include rice husk charcoal and wood charcoal, the microorganism group includes Bacillus subtilis, and the enrichment plants include Pteridium aquilinum and willow, the first initial raw material combinations obtained after the multi-factor combination can be

rice husk charcoal, Bacillus subtilis, Pteridium aquilinum

wood charcoal, Bacillus subtilis, Pteridium aquilinum

[0048] S5, constructing multiple unit soil remediation experiment groups based on the component content report, the multiple first initial raw material combinations, the soil sample set, the coal gangue powder material flow, and the sludge material flow.

[0049] Specifically, the constructing multiple unit soil remediation experiment groups based on the component content report, the multiple first initial raw material combinations, the soil sample set, the coal gangue powder material flow, and the sludge material flow includes: designing multiple second original parameter groups based on the coal gangue powder material flow and the sludge material flow, wherein the second original parameter groups correspond one-to-one to the unit coal gangue powder material flow, and each second original parameter group includes the same coal gangue proportion sequence and sludge proportion sequence; sequentially extracting soil samples from the soil sample set, and performing the following operations on the extracted soil samples: performing data integration and analysis on the component content report to obtain a physicochemical property report of the soil samples, screening multiple first target raw material combinations from the multiple first initial raw material combinations based on the physicochemical property report, and constructing multiple first original parameter groups for soil remediation experiments based on the multiple first target raw material combinations, wherein the first original parameter groups correspond one-to-one to the first target raw material combinations, the first original parameter groups include one biochar, one microorganism, and one enrichment plant, and different first original parameter groups include the same biochar content proportion sequence and the same microorganism content proportion sequence; obtaining multiple unit soil remediation experiment groups based on the pre-constructed orthogonal experiment method, the multiple first original parameter groups, and the multiple second original parameter groups.

[0050] It can be understood that the coal gangue proportion sequence is the volume ratio that the unit coal gangue powder material flow should be added in the unit soil remediation experiment group set by human beings, for example, 10%, 15%, etc. The sludge proportion sequence is the proportion that the sludge material flow should be added in the unit soil remediation experiment group set by human beings. The physicochemical property report is the report corresponding to the soil sample in the component content report.

[0051] It can be understood that all the addition proportions in the embodiment are in volume ratio. In the process of integrating and analyzing the data of the component content report to obtain the physicochemical property report of the soil sample, since the component content report includes the report of each soil sample in the soil sample set, the data of the component content report can be integrated and analyzed to obtain the physicochemical property report of the soil sample. The specific integration manner can be marking heavy metal elements, marking heavy metal content, analyzing whether the heavy metal content exceeds the standard, etc., and the present application does not limit this.

[0052] It should be noted that different heavy metals, different biochar, different enrichment plants and different microorganisms have different effects, for example, if the soil sample is seriously polluted by Ni and Zn, then the blue plant can be used as an enrichment plant, and if the soil sample is seriously polluted by heavy metals, then Bacillus subtilis can be used as a microorganism, therefore, the plurality of first target raw material combinations selected from the plurality of first initial raw material combinations can be used for targeted soil remediation.

[0053] Further, the first original parameter group is a parameter group for describing the addition content of one biochar, one microorganism and one enrichment plant, and similar to the second original parameter group, the biochar content ratio sequence and the microorganism content ratio sequence are similar to the coal gangue ratio sequence, and are used to represent the addition ratio of the biochar and the microorganism in the unit soil remediation experiment group.

[0054] Further, the orthogonal experiment method is a prior art, and the plurality of first original parameter groups and the plurality of second original parameter groups are matched based on the orthogonal combination of the orthogonal experiment method to generate a representative unit soil remediation experiment group, which can cover the whole parameter space with the least number of experiments, optimize the soil remediation experiment efficiency, and reduce the test cost.

[0055] Exemplary, the plurality of first original parameter groups include but are not limited to:

rice husk charcoal, bacillus subtilis, pteridium aquilinum

charcoal, bacillus subtilis, pteridium aquilinum

rice husk charcoal, bacillus subtilis, hemp

charcoal, bacillus subtilis, hemp

coal gangue powder with a fine particle size of 1mm, adding: 15%, 20% of sludge material flow in the soil repair formula, adding: 15%, 20% of sludge material flow in the soil repair formula

[0056] S6, based on the preset test pause condition, performing soil repair experiments on the plurality of unit soil repair experiment groups to obtain the best scheme.

[0057] Specifically, based on the preset test pause condition, performing soil repair experiments on the plurality of unit soil repair experiment groups to obtain the best scheme, including: performing the following operations on each unit soil repair experiment group in the plurality of unit soil repair experiment groups: performing soil repair experiments on the unit soil repair experiment group, and collecting repair soil at a preset repair effect test interval during the soil repair experiments, and performing component testing on the repair soil based on target repair indicators to obtain unit test results, wherein the target repair indicators include a plurality of unit target repair indicators; if the unit test results do not meet the preset test pause condition, returning to the step of collecting repair soil at a preset repair effect test interval until the unit test results meet the preset test pause condition; summarizing the unit test results to obtain original repair data of the plurality of unit soil repair experiment groups; summarizing the original repair data to obtain an original repair data set, and evaluating and analyzing the original repair data set to obtain the best scheme.

[0058] It can be understood that the soil remediation experiment can be implemented by various existing technologies, which will not be repeated here. The collection of the remediation soil at the preset remediation effect test time interval refers to the collection of the soil being subjected to the soil remediation experiment under the condition of a unit soil remediation experiment group at a fixed time interval (i.e., the preset remediation effect test time interval). The collected soil is the remediation soil. For example, if the remediation effect test time interval is 5 days, the soil being subjected to the soil remediation experiment is sampled every 5 days to obtain the remediation soil.

[0059] Further, the component test based on the target remediation index refers to the operation of testing the content of each of the plurality of unit target remediation indexes. For example, the target remediation index includes the plurality of unit target remediation indexes: divalent copper ions, heavy metal elements cadmium and lead, which means that the content of divalent copper ions, the content of heavy metal element cadmium and the content of lead in the remediation soil need to be tested.

[0060] Specifically, the test suspension condition is a condition for stopping the soil remediation experiment being performed under the condition of a unit soil remediation experiment group. For details, please refer to subsequent embodiments. The original remediation data is a set composed of unit test results of a plurality of unit soil remediation experiment groups. The unit test result includes the results corresponding to a plurality of unit target remediation indexes. Therefore, the unit test result corresponds to a unit soil remediation experiment group. The original remediation data is obtained by aggregating the unit test results, and therefore the original remediation data corresponds to the soil sample one by one.

[0061] Specifically, if the unit test result does not meet the preset test suspension condition, the following operations are performed: For each of the plurality of unit target remediation indexes, the following operations are performed: Based on the unit test result, the test result value is filled in the pre-constructed index two-dimensional graph to obtain a filled coordinate, wherein the unit target remediation index corresponds to the index two-dimensional graph one by one; Figure One The preposition coordinate corresponding to the filled coordinate is extracted, and the fitting straight line slope absolute value of the preposition coordinate and the filled coordinate is calculated to obtain a remediation efficiency; If the remediation efficiency is greater than or equal to a preset efficiency threshold, it is determined that the unit target remediation index does not meet the preset test suspension condition; If the remediation efficiency is less than the efficiency threshold, it is determined whether the time corresponding to the filled coordinate is less than a preset shortest remediation time. If the time corresponding to the filled coordinate is less than the preset shortest remediation time, it is determined that the unit target remediation index does not meet the preset test suspension condition; If it is determined that there is a unit target remediation index that does not meet the preset test suspension condition in the plurality of unit target remediation indexes, it is determined that the unit test result does not meet the preset test suspension condition.​

[0062] It can be understood that the index two-dimensional graph is a plane rectangular coordinate system with time as the horizontal axis and unit target remediation index as the vertical axis, and the filling of the pre-constructed index two-dimensional graph with the test result value based on the unit test result means that the content value corresponding to the unit target remediation index extracted from the unit test result is taken as the vertical coordinate (for example, the content of the heavy metal element cadmium), and the time of the unit test result is taken as the horizontal coordinate (for example, 10 days have passed since the soil remediation experiment is performed), and the index two-dimensional graph is filled, and the obtained filling coordinate is (10, V CR ), wherein 10 represents the time of the unit test result, and V CR represents the content value corresponding to the unit target remediation index. The pre-coordinate is the filling coordinate in the unit test result adjacent to the filling coordinate, with a time interval of the remediation effect inspection time interval and time prior to the filling coordinate.

[0063] For example, if the remediation effect inspection time interval is 5 days and the filling coordinate is (10, V CR ), then the pre-coordinate is (5, V CR-1 ), wherein 5 represents that 5 days have passed since the soil remediation experiment is performed, and V CR-1 represents the content value corresponding to the unit target remediation index in the pre-coordinate.

[0064] Further, the absolute value of the slope of the fitting straight line is: the slope between the pre-coordinate and the filling coordinate is calculated, and then the absolute value of the slope is calculated to obtain the remediation efficiency, wherein the calculation of the slope is a prior art and will not be described here.

[0065] It can be understood that the present application aims to remediate heavy metal pollutants in soil, and therefore if the remediation of the unit target remediation index in the soil sample by the unit soil remediation experiment group is effective, the content of the heavy metal pollutants should be as low as possible, and therefore multiple unit target remediation indexes respectively represent the contents of multiple different heavy metal pollutants. If other elements (such as nitrogen, phosphorus, and potassium) in the soil are to be remediated, the relationship between the content of the other elements in the soil and the target content interval needs to be compared. If the content of the other elements in the soil is greater than the upper limit of the target content interval, the method for remediation of heavy metal pollutants in soil according to the present application can be implemented accordingly. If the content of the other elements in the soil is less than the lower limit of the target content interval, the method for remediation of heavy metal pollutants in soil according to the present application is negated, and can also be implemented accordingly. Therefore, the present application details the method for remediation of heavy metal pollutants in soil, and does not repeat the description for other cases.

[0066] Specifically, when the repair efficiency is greater than or equal to the preset efficiency threshold, it indicates that the repair of the soil is still continuing, and therefore it is confirmed that the unit target repair index does not meet the preset test suspension condition.

[0067] Further, if the repair efficiency is less than the preset efficiency threshold, it is possible that the soil repair experiment is just started, and therefore the application further judges whether the time corresponding to the filling coordinates is less than the preset shortest repair time. If the time corresponding to the filling coordinates is less than the preset shortest repair time, it is considered that the soil repair effect is still not obvious because the soil repair experiment is just started, and therefore it is confirmed that the unit target repair index does not meet the preset test suspension condition.

[0068] Specifically, the original repair data set is evaluated and analyzed to obtain the best scheme, including: The target original data is extracted from the original repair data set, and the following operations are performed on the target original data: The following operations are performed on the unit soil repair experiment group in the unit soil repair experiment group corresponding to the target original data: The unit target repair index is extracted from the plurality of unit target repair indexes in sequence to obtain a target index, and the following operations are performed on the target index: The complete index repair graph corresponding to the target index is identified from the target original data, the complete index repair graph is curve-fitted to obtain a complete index curve graph, and a suboptimal repair cutoff point is identified from the complete index curve graph, wherein the abscissa of the suboptimal repair cutoff point is greater than the preset shortest repair time corresponding to the target index, and the repair efficiency corresponding to the suboptimal repair cutoff point is less than the preset efficiency threshold; The suboptimal repair cutoff points corresponding to the plurality of unit target repair indexes are obtained by aggregating the suboptimal repair cutoff points, and if the unit soil repair experiment group is confirmed to be retained based on the suboptimal repair cutoff point group, the unit soil repair experiment group is confirmed as a target formula group; The target formula group set corresponding to the soil sample is obtained by aggregating the target formula groups, and the best scheme is obtained based on the target formula group set.

[0069] It can be understood that the target original data is the original repair data extracted from the original repair data set. The complete index repair graph is an image of the change of the content of the heavy metal pollutants corresponding to the target index with time after the soil repair experiment is performed on the soil sample under the condition of the unit soil repair experiment group. At this time, the complete index repair graph is still a scatter plot composed of various filling coordinates, and the curve fitting is a prior art. Optionally, a polynomial fitting is selected to fit the complete index curve graph.

[0070] Specifically, the shortest repair time is identified, and from the complete index graph corresponding to the shortest repair time, a point with the shortest time and a repair efficiency less than a preset efficiency threshold is found to obtain a suboptimal repair cutoff point. The test time interval is set to 5 days in the present application, but in actual experiments, it can be set to 10 days, one week, etc. The shorter the sampling interval, the more accurate the complete index graph, and the shorter the sampling interval, the more cost-saving. However, it is highly possible that the suboptimal repair cutoff point cannot be exhibited in the target original data, so the present application fits the complete index graph and intercepts the suboptimal repair cutoff point to more accurately find a point with a repair efficiency less than a preset efficiency threshold.

[0071] Specifically, if the unit soil repair experiment group is confirmed to be retained based on the suboptimal repair cutoff point group, the following steps are included: The suboptimal repair cutoff points are extracted from the suboptimal repair cutoff point group in sequence, and if the ordinate corresponding to the suboptimal repair cutoff point is greater than or equal to a preset target index repair warning value, the target index corresponding to the suboptimal repair cutoff point is marked as a failure index, and the number of failure indexes corresponding to the suboptimal repair cutoff point group is counted. If the number of failure indexes is less than a preset failure index number threshold, the unit soil repair experiment group is confirmed to be retained.

[0072] It can be understood that when the suboptimal repair cutoff point is obtained, only the repair efficiency and time are considered, and the content of the heavy metal pollutant corresponding to the target index in the repaired soil is not considered, so the target formula needs to be screened according to the content of the heavy metal pollutant corresponding to the target index. Here, if the ordinate corresponding to the suboptimal repair cutoff point is greater than or equal to a preset target index repair warning value, it indicates that the heavy metal corresponding to the target index has a content greater than the target index repair warning value after the repair time corresponding to the suboptimal repair cutoff point and the efficiency less than the efficiency threshold under the condition of the unit soil repair experiment group, that is, the unit soil repair experiment group cannot repair the heavy metal pollutant corresponding to the target index in the soil, so the target index corresponding to the suboptimal repair cutoff point is marked as a failure index. The target index repair warning value is the maximum value of the target index set by human, that is, the maximum content of the corresponding heavy metal.

[0073] Further, if the number of failure indicators is less than the preset failure indicator number threshold, it is determined that under the condition of the unit soil remediation experiment group, most of the multiple unit target remediation indicators can be completed. For example, the multiple unit target remediation indicators are divalent copper ions, elemental cadmium and lead, and under the condition of the unit soil remediation experiment group, only divalent copper ions are failure indicators, the number of failure indicators is 1, and the failure indicator number threshold is set to 2. Therefore, the number of failure indicators is less than the preset failure indicator number threshold, and it is considered that the unit soil remediation experiment group still has value, and it is confirmed that the unit soil remediation experiment group is retained.

[0074] Specifically, the best scheme based on the target formula group set comprises: The target formula group in the target formula group set is executed as follows: Obtain multiple evaluation indicators, wherein the evaluation indicators include: multiple unit target remediation indicator repair times, overall repair satisfaction rates of target remediation indicators, formula configuration costs, soil PH fluctuation stability rates, soil electrical conductivity, clay particle rate, silt particle rate, sand particle rate, porosity, water retention, organic matter content, and nitrogen, phosphorus and potassium content; Based on the pre-constructed entropy weight method and the multiple evaluation indicators, the overall evaluation score corresponding to the target formula group is calculated; Summarize the overall evaluation score to obtain an overall evaluation score set of the target formula group set, identify a preset number of overall evaluation scores from the overall evaluation score set to obtain a suboptimal score set, and obtain all target formula groups corresponding to the suboptimal score set to obtain an optimized formula group set; Based on the optimized formula group set, perform a multi-soil synchronous experiment based on a soil sample set to obtain a multi-soil target formula group set, and obtain a target best scheme based on the multi-soil target formula group set and the optimized formula group set.

[0075] It can be understood that the unit target remediation indicator repair time is the abscissa of the suboptimal repair cutoff point corresponding to the unit target remediation indicator. The shorter the unit target remediation indicator repair time, the faster the soil is repaired, and thus the better the corresponding target formula group. The overall repair satisfaction rate of the target remediation indicator is calculated as follows: , Wherein, represents the overall repair satisfaction rate of the target remediation indicator, represents the number of multiple unit target remediation indicators, represents the number of failure indicators.

[0076] Specifically, the formula configuration cost is the cost of implementing the target formula group for soil remediation, the soil PH fluctuation stability is the fluctuation rate of the PH value of the soil during the soil remediation process, and the more stable the fluctuation rate of the PH value of the soil is, the more conducive it is to the survival of microorganisms and plants in the soil, and therefore the corresponding target formula group is considered to be better. The soil conductivity, clay rate, silt rate, sand rate, porosity, water retention, organic matter content, and nitrogen, phosphorus and potassium content are all prior art and will not be described here. The entropy weight method is an objective weighting method of information entropy theory, and the weight is determined by calculating the entropy value of each evaluation index. This technology is prior art and will not be described here. The method for identifying a preset number of comprehensive evaluation scores from the comprehensive evaluation score set comprises: arranging the comprehensive evaluation score set in descending order of numerical value, and extracting three comprehensive evaluation scores from the end with larger numerical value to obtain a sub-optimal score set.

[0077] Further, when obtaining the optimized formula group set, the optimized formula group set that can be used to repair the soil sample is obtained based on one soil sample, but there may be commonalities for different soil samples. Therefore, the optimized formula group set corresponding to each soil sample is aggregated to obtain an aggregated optimized formula group set. Each soil sample in the aggregated optimized formula group set is used to perform a soil remediation experiment, and the method (entropy weight method) described above is used to evaluate the soil remediation experiment, so that a multi-soil target formula group set with general applicability can be screened out. The multi-soil target formula group set has a similar meaning to the optimized formula group set and can be used to repair multiple soil samples. According to the needs of professionals, a target optimal solution can be obtained based on the multi-soil target formula group set and the optimized formula group set. Therefore, the target optimal solution is a formula selected by a professional. The target optimal solution can be one of the optimized formula group set with pertinence or the multi-soil target formula group set with general applicability. The present application does not limit this.

[0078] The present application is to solve the problems described in the background art. The coal gangue material flow and the municipal sludge material flow are obtained. The coal gangue material flow is pretreated, and the municipal sludge material flow is compost pretreated to obtain a coal gangue powder material flow and a sludge material flow. According to the mineral composition, physical properties and slow-release nutrient properties of the coal gangue itself, the coal gangue is used as one of the raw materials for soil remediation. According to the characteristics of the components contained in the treated municipal sludge, which can repair the soil and promote plant growth, the municipal sludge is used as one of the raw materials for soil remediation. Soil samples are obtained by sampling the shallow and deep layers of the target area. The component content report is obtained by detecting the components of the soil sample set, the coal gangue powder material flow and the sludge material flow. The present application detects different raw materials to provide reference for multiple evaluation indexes. A plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants are obtained. The plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants are combined to obtain a plurality of first initial raw material combinations. Based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow, a plurality of unit soil remediation experiment groups are constructed. It can be seen that according to the different component contents of the soil samples, the different component contents of the coal gangue, and the different component contents of the sludge material flow, different biochar and different enrichment plants are selected for soil remediation. The soil remediation is carried out in a targeted manner. Based on the preset test pause condition, the soil remediation experiment of the plurality of unit soil remediation experiment groups is carried out to obtain the best scheme. It can be seen that the present application fits the complete index curve graph, and intercepts the suboptimal repair cutoff point, more accurately finds the point that meets the actual situation and the repair efficiency is less than the preset efficiency threshold, and also finds the formula that meets the target demand through the entropy weight method. Further, the present application also collects the optimization formula group set corresponding to each soil sample to obtain a summary optimization formula group set. The soil remediation experiment is carried out again by using each soil sample in the summary optimization formula group set, and the method (entropy weight method) in the foregoing embodiment of the present application is used for evaluation, so that a multi-soil target formula group set with general applicability can be screened out. Therefore, the present application can realize the formula optimization of targeted soil remediation using biochar, coal gangue and municipal sludge.

[0079] As Figure 2 shown is a functional module diagram of a soil remediation formula optimization system based on solid waste raw material biochar improvement according to an embodiment of the present application.

[0080] The soil remediation formula optimization system 100 based on solid waste raw material biochar improvement can be installed in an electronic device. According to the functions implemented, the soil remediation formula optimization system 100 based on solid waste raw material biochar improvement can include a material flow pretreatment module 101, a raw material acquisition module 102, an experimental group construction module 103, and an optimization module 104. The modules of the present application can also be referred to as units, which refer to a series of computer program segments that can be executed by an electronic device processor and can complete a fixed function, which are stored in the memory of the electronic device. The material flow pretreatment module 101 is used to obtain coal gangue material flow and municipal sludge material flow, perform pretreatment on the coal gangue material flow, and perform compost pretreatment on the municipal sludge material flow to obtain coal gangue powder material flow and sludge material flow. The raw material acquisition module 102 is used to perform soil deep and shallow sampling in a pre-constructed target area to obtain a soil sample set, perform component detection on the soil sample set, the coal gangue powder material flow, and the sludge material flow, respectively, to obtain a component content report, acquire a plurality of biochars, a plurality of microbial groups, and a plurality of enriched plants, and perform multi-factor combination on the plurality of biochars, the plurality of microbial groups, and the plurality of enriched plants to obtain a plurality of first initial raw material combinations. The experimental group construction module 103 is used to construct a plurality of unit soil remediation experimental groups based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow, and the sludge material flow. The optimization module 104 is used to perform soil remediation experiments on the plurality of unit soil remediation experimental groups based on a pre-set test pause condition to obtain an optimal scheme.

[0081] In detail, the modules in the soil remediation formula optimization system 100 based on solid waste raw material biochar improvement in the embodiments of the present application use the same technical means as the soil remediation formula optimization method based on solid waste raw material biochar improvement in the above Figure 1 , and can produce the same technical effects, which will not be described here.

[0082] As Figure 3 shown, it is a structural schematic diagram of an electronic device for implementing a soil remediation formula optimization method based on solid waste raw material biochar improvement provided by an embodiment of the present application.

[0083] The electronic device 1 can include a processor 10, a memory 11, and a bus 12, and can also include a computer program stored in the memory 11 and executable on the processor 10, such as a soil remediation formula optimization method program based on solid waste raw material biochar improvement.

[0084] The memory 11 includes at least one type of readable storage medium, such as flash memory, mobile hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 1. Further, the memory 11 includes both an internal storage unit and an external storage device of the electronic device 1. The memory 11 can be used not only to store application software and various data installed on the electronic device 1, such as the code of the soil remediation formula optimization method program based on the improvement of the solid waste raw material biochar, but also to temporarily store data that has been output or will be output.

[0085] The processor 10 can be composed of an integrated circuit in some embodiments, such as a single packaged integrated circuit or a plurality of packaged integrated circuits with the same or different functions, including one or more combinations of central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor 10 is the control core of the electronic device, which connects various components of the entire electronic device through various interfaces and lines, executes programs or modules stored in the memory 11 (such as the soil remediation formula optimization method program based on the improvement of the solid waste raw material biochar, etc.), and calls data stored in the memory 11 to perform various functions and process data of the electronic device 1.

[0086] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0087] Figure 3 Only the electronic device with components is shown, and those skilled in the art can understand that, Figure 3The illustrated structure does not constitute a limitation on the electronic device 1, and can include fewer or more components than illustrated, or combine certain components, or different component arrangements.

[0088] For example, although not shown, the electronic device 1 can also include a power source (such as a battery) to power the various components, and preferably the power source can be logically connected to the at least one processor 10 through a power management device, so that the power management device can implement functions such as charge management, discharge management, and power consumption management. The power source can also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device 1 can also include various sensors, Bluetooth modules, Wi-Fi modules, and the like, which are not described here.

[0089] Further, the electronic device 1 can also include a network interface, which can optionally include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), and is typically used to establish a communication connection between the electronic device 1 and other electronic devices.

[0090] Optionally, the electronic device 1 can also include a user interface, which can be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally a standard wired interface, a wireless interface. Optionally, in some embodiments, the display can be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch, etc. The display can also be appropriately referred to as a display screen or a display unit, and is used to display information processed in the electronic device 1 and to display a visualized user interface.

[0091] The program stored in the memory 11 of the electronic device 1 for optimizing the soil remediation formula based on the solid waste raw material biochar modification is a combination of multiple instructions, which, when running in the processor 10, can achieve: Obtain a coal gangue material stream and a municipal sludge material stream, perform pretreatment on the coal gangue material stream, and perform compost pretreatment on the municipal sludge material stream to obtain a coal gangue powder material stream and a sludge material stream; Perform soil deep and shallow layer sampling in a pre-constructed target area to obtain a soil sample set; Perform component detection on the soil sample set, the coal gangue powder material stream, and the sludge material stream, respectively, to obtain a component content report; Obtain a plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants, perform multi-factor combination on the plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants, and obtain a plurality of first initial raw material combinations; Based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow, a plurality of unit soil remediation experimental groups are constructed, and based on a preset test suspension condition, soil remediation experiments are performed on the plurality of unit soil remediation experimental groups to obtain an optimal scheme.

[0092] Specifically, the specific implementation method of the processor 10 to the above instructions can refer to Figures 1 to 3 The description of related steps in the corresponding embodiments will not be repeated here.

[0093] Further, the modules / units integrated by the electronic device 1, if realized in the form of software function units and sold or used as independent products, can be stored in a computer readable storage medium. The computer readable storage medium can be volatile or non-volatile. For example, the computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory).

[0094] The application also provides a computer readable storage medium, which stores a computer program, and the computer program can realize the following when executed by a processor of an electronic device: Obtain a coal gangue material flow and a municipal sludge material flow, perform pretreatment on the coal gangue material flow, and perform compost pretreatment on the municipal sludge material flow to obtain a coal gangue powder material flow and a sludge material flow; Perform soil deep and shallow layer sampling in a pre-constructed target area to obtain a soil sample set; Perform component detection on the soil sample set, the coal gangue powder material flow and the sludge material flow respectively to obtain a component content report; Obtain a plurality of biochar, a plurality of microbial groups and a plurality of enrichment plants, perform multi-factor combination on the plurality of biochar, the plurality of microbial groups and the plurality of enrichment plants, and obtain a plurality of first initial raw material combinations; Based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow, a plurality of unit soil remediation experimental groups are constructed, and based on a preset test suspension condition, soil remediation experiments are performed on the plurality of unit soil remediation experimental groups to obtain an optimal scheme.

[0095] In several embodiments provided by the present application, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the above-described system embodiments are only illustrative, and actual implementation can have other divisions.

[0096] The modules described as separate components can or can not be physically separated, and the components shown as modules can or can not be physical units, i.e. can be located in one place or distributed to multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the present embodiment.

[0097] In addition, the functional modules in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of hardware plus software functional modules.

[0098] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application.

Claims

1. A method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials, characterized in that, The method comprises: obtaining a coal gangue material flow and a municipal sludge material flow, performing pretreatment on the coal gangue material flow, and performing compost pretreatment on the municipal sludge material flow to obtain a coal gangue powder material flow and a sludge material flow; performing soil deep and shallow sampling in a pre-constructed target area to obtain a soil sample set; performing component detection on the soil sample set, the coal gangue powder material flow, and the sludge material flow respectively to obtain a component content report; obtaining a plurality of biochars, a plurality of microbial groups, and a plurality of enrichment plants, performing multi-factor combination on the plurality of biochars, the plurality of microbial groups, and the plurality of enrichment plants to obtain a plurality of first initial raw material combinations; based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow, and the sludge material flow, constructing a plurality of unit soil remediation experimental groups, based on a pre-set test suspension condition, performing soil remediation experiments on the plurality of unit soil remediation experimental groups to obtain an optimal scheme.

2. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 1, wherein, The method comprises: inputting the coal gangue material flow into a pre-constructed toothed roll crusher to obtain coarsely crushed coal gangue, based on a pre-constructed fine particle size sequence, using a pre-constructed double-roll crusher to finely crush the coarsely crushed coal gangue to obtain a plurality of target particle size coal gangues, wherein the fine particle size sequence includes a plurality of fine particle sizes, and the fine particle sizes correspond one-to-one to the target particle size coal gangues; extracting the smallest fine particle size coal gangue from the plurality of target particle size coal gangues, and obtaining the coal gangue powder material flow based on the plurality of target particle size coal gangues and the smallest fine particle size coal gangue; using a plurality of pre-constructed compost raw materials, based on a pre-set compost ratio, performing compost pretreatment on the municipal sludge material flow to obtain a composted sludge material flow, and after confirming that the composted sludge material flow meets a pre-set available condition, confirming the composted sludge material flow as the sludge material flow, wherein the plurality of compost raw materials include sawdust, straw, and mature compost.

3. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 2, wherein, The method comprises: obtaining a powder separation device, wherein the powder separation device includes a fan, a transition device, a centrifugal settling device, and a powder collection device; sequentially extracting a powder fine particle size from a pre-constructed powder fine particle size sequence, using a pre-constructed powder grinding device and the powder fine particle size to grind the target coal gangue separated from the smallest fine particle size coal gangue into an initial powder coal gangue, introducing the initial powder coal gangue into the transition device, and based on the powder fine particle size, setting the wind power of the fan to obtain a pre-prepared fan; using the pre-prepared fan to perform fan sorting on the initial powder coal gangue in the transition device to obtain coal gangue powder and to-be-settled coal gangue, using the centrifugal settling device to perform a centrifugal settling operation on the to-be-settled coal gangue, and using the powder collection device to perform a powder collection operation on the coal gangue powder to obtain settled coal gangue and an initial unit coal gangue powder; extracting a unit coal gangue powder corresponding to a powder fine granularity from the initial unit coal gangue powder, and returning the reserved initial unit coal gangue powder as the minimum fine granularity coal gangue to the operation of sequentially extracting the powder fine granularity from the pre-constructed powder fine granularity sequence until the powder fine granularity in the powder fine granularity sequence is extracted; aggregating the unit coal gangue powder and the plurality of target granularity coal gangues to obtain a plurality of unit coal gangue powders, and aggregating the settled coal gangues to obtain a plurality of settled coal gangues; based on the plurality of unit coal gangue powders, performing a reprocessing operation on the plurality of settled coal gangues to obtain a plurality of unit coal gangue powder material streams, and recording the plurality of unit coal gangue powder material streams as coal gangue powder material streams.

4. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 3, wherein, The unit soil remediation experiment groups are constructed based on the ingredient content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material stream, and the sludge material stream. Based on the coal gangue powder material stream and the sludge material stream, a plurality of second original parameter groups are designed, wherein the second original parameter groups correspond one-to-one to the unit coal gangue powder material stream, and each second original parameter group includes the same coal gangue proportion sequence and sludge proportion sequence. From the soil sample set, soil samples are sequentially extracted, and the extracted soil samples are all subjected to the following operations: The ingredient content report is subjected to data integration and analysis to obtain a physicochemical property report of the soil samples, based on the physicochemical property report, a plurality of first target raw material combinations are selected from the plurality of first initial raw material combinations, and based on the plurality of first target raw material combinations, a plurality of first original parameter groups for soil remediation experiments are constructed, wherein the first original parameter groups correspond one-to-one to the first target raw material combinations, and the first original parameter groups include one biochar, one microorganism, and one enriched plant, and the same biochar content proportion sequence and the same microorganism content proportion sequence are included in different first original parameter groups; Based on the pre-constructed orthogonal experiment method, the plurality of first original parameter groups, and the plurality of second original parameter groups, a plurality of unit soil remediation experiment groups are obtained.

5. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 4, wherein, The soil remediation experiments are performed on the plurality of unit soil remediation experiment groups based on the preset test suspension condition to obtain the best scheme, including: The following operations are performed on each unit soil remediation experiment group in the plurality of unit soil remediation experiment groups: The soil remediation experiment is performed on the unit soil remediation experiment group, and during the soil remediation experiment, remediated soil is collected at a preset remediation effect test time interval, and ingredient testing based on target remediation indicators is performed on the remediated soil to obtain a unit test result, wherein the target remediation indicators include a plurality of unit target remediation indicators; If the unit test result does not meet the preset test suspension condition, the step of collecting remediated soil at a preset remediation effect test time interval is returned until the unit test result meets the preset test suspension condition; The unit test results are aggregated to obtain original remediation data of the plurality of unit soil remediation experiment groups; The original remediation data are aggregated to obtain an original remediation data set, and the original remediation data set is evaluated and analyzed to obtain the best scheme.

6. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 5, wherein, If the unit test result does not meet the preset test suspension condition, the method comprises the following steps of: For each of the plurality of unit target repair indicators, the following operations are performed: Based on the unit test result, the pre-constructed index two-dimensional graph is filled with test result values to obtain filled coordinates, wherein the unit target repair indicator is one-to-one corresponding to the index two-dimensional graph; The preposed coordinates corresponding to the filled coordinates are extracted, and the absolute value of the slope of the fitting straight line of the preposed coordinates and the filled coordinates is calculated to obtain a repair efficiency; If the repair efficiency is greater than or equal to a preset efficiency threshold, it is determined that the unit target repair indicator does not meet the preset test suspension condition; If the repair efficiency is less than the efficiency threshold, it is determined whether the time corresponding to the filled coordinates is less than a preset shortest repair time, and if the time corresponding to the filled coordinates is less than the preset shortest repair time, it is determined that the unit target repair indicator does not meet the preset test suspension condition; If it is determined that there is a unit target repair indicator that does not meet the preset test suspension condition in the plurality of unit target repair indicators, it is determined that the unit test result does not meet the preset test suspension condition.

7. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 6, wherein, The original repair data set is evaluated and analyzed to obtain an optimal scheme, comprising: From the target original data in the original repair data set, the following operations are performed on the target original data: For each of the plurality of unit soil repair experiment groups corresponding to the target original data, the following operations are performed: From the plurality of unit target repair indicators, unit target repair indicators are sequentially extracted to obtain target indicators, and the following operations are performed on the target indicators: From the target original data, a complete index repair graph corresponding to the target indicator is identified, the complete index repair graph is curve-fitted to obtain a complete index curve graph, and a suboptimal repair cutoff point is identified from the complete index curve graph, wherein the horizontal coordinate of the suboptimal repair cutoff point is greater than a preset shortest repair time corresponding to the target indicator, and the repair efficiency corresponding to the suboptimal repair cutoff point is less than a preset efficiency threshold; The suboptimal repair cutoff points corresponding to the plurality of unit target repair indicators are summarized to obtain a suboptimal repair cutoff point group, and if it is determined based on the suboptimal repair cutoff point group that the unit soil repair experiment group is retained, the unit soil repair experiment group is determined as a target formula group; The target formula groups are summarized to obtain a target formula group set corresponding to the soil sample, and the optimal scheme is obtained based on the target formula group set.

8. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 7, wherein, If it is determined based on the suboptimal repair cutoff point group that the unit soil repair experiment group is retained, the method comprises the following steps of: From the suboptimal repair cutoff point group, suboptimal repair cutoff points are sequentially extracted, and if the vertical coordinate corresponding to the suboptimal repair cutoff point is greater than or equal to a preset target indicator repair warning value, the target indicator corresponding to the suboptimal repair cutoff point is marked as a failed indicator, and the number of failed indicators corresponding to the suboptimal repair cutoff point group is counted; If the number of failed indicators is less than a preset failed indicator number threshold, it is determined that the unit soil repair experiment group is retained.

9. The method for optimizing soil remediation formulation based on solid waste feedstock biochar amendment as claimed in claim 8, wherein, The optimal scheme is obtained based on the target formula group set, comprising the following steps of: For each of the target formula groups in the target formula group set, the following operations are performed: Obtaining a plurality of evaluation indexes, wherein the evaluation indexes include: a plurality of unit target repair indicators repair time, overall repair satisfaction rate of the target repair indicators, formula configuration cost, soil PH fluctuation stability rate, soil conductivity, clay rate, silt rate, sand rate, porosity, water retention, organic matter content, nitrogen, phosphorus and potassium content; Based on the pre-constructed entropy weight method and the plurality of evaluation indexes, the overall measurement score corresponding to the target formula group is calculated; The overall measurement scores are summarized to obtain an overall measurement score set of the target formula group set, a preset number of overall measurement scores are identified from the overall measurement score set to obtain a suboptimal score set, and all target formula groups corresponding to the suboptimal score set are obtained to obtain an optimized formula group set; Based on the optimized formula group set, a multi-soil synchronous experiment based on the soil sample set is performed to obtain a multi-soil target formula group set, and a target best scheme is obtained based on the multi-soil target formula group set and the optimized formula group set.

10. A soil remediation formulation optimization system based on biochar modification from solid waste raw materials, characterized in that, The system comprises: A material flow pretreatment module for obtaining a coal gangue material flow and a municipal sludge material flow, performing pretreatment on the coal gangue material flow, and performing compost pretreatment on the municipal sludge material flow to obtain a coal gangue powder material flow and a sludge material flow; A raw material obtaining module for performing deep and shallow layer sampling in a pre-constructed target area to obtain a soil sample set, performing component detection on the soil sample set, the coal gangue powder material flow and the sludge material flow respectively to obtain a component content report, obtaining a plurality of biochar, a plurality of microorganisms and a plurality of enriched plants, and performing multi-factor combination on the plurality of biochar, the plurality of microorganisms and the plurality of enriched plants to obtain a plurality of first initial raw material combinations; An experimental group construction module for constructing a plurality of unit soil repair experimental groups based on the component content report, the plurality of first initial raw material combinations, the soil sample set, the coal gangue powder material flow and the sludge material flow; An optimization module for performing soil repair experiments on the plurality of unit soil repair experimental groups based on a pre-set test pause condition to obtain a best scheme.

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