A method for optimizing a soil remediation formula based on solid waste raw material biochar improvement

Abstract

The present application relates to the technical field of soil remediation, and is a kind of soil remediation formula optimization method based on solid waste raw material biochar improvement, comprising: obtaining coal gangue powder material flow and sludge material flow, respectively performing component detection on soil sample set, coal gangue powder material flow and sludge material flow, obtaining component content report, performing multi-factor combination on the plurality of biochar, plurality of microbial groups and plurality of enriched plants, obtaining 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, based on the preset test suspension condition, the plurality of unit soil remediation experimental groups are subjected to soil remediation experiment, and the best scheme is obtained.The present application can realize the formula optimization of targeted soil remediation by using biochar, coal gangue and municipal sludge.

Description

Technical Field

[0001] This invention relates to the field of soil remediation technology, and in particular to a method for optimizing soil remediation formulations based on biochar modification of solid waste raw materials. Background Technology

[0002] With the continued growth of the global population and the acceleration of industrialization, soil degradation has become an increasingly serious problem, posing a significant challenge to agricultural production, ecological balance, and sustainable development.

[0003] In recent years, solid waste resource utilization has been widely applied to soil remediation. For example, coal gangue, a major solid waste from coal mining and washing, can improve soil structure, regulate pH, and provide mineral nutrients. Urban sewage sludge, rich in organic matter and nutrients such as nitrogen and phosphorus, can enhance soil fertility. Biochar, with its porous structure and adsorption capacity, can immobilize pollutants and promote microbial colonization. Additionally, enriching plants are used, planted on soil requiring remediation, to achieve soil restoration.

[0004] While the above methods can achieve the combined application of solid waste materials, they lack dynamic formulation optimization methods for different degraded soil characteristics, and do not systematically integrate the synergistic effects of coal gangue, urban sludge, biochar, microbial communities and enriching plants to optimize soil remediation formulations. Therefore, a formulation optimization method is needed that can realize targeted soil remediation using biochar and coal gangue in conjunction with urban sludge. Summary of the Invention

[0005] This invention provides a method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials, and a computer-readable storage medium. Its main purpose is to optimize the formulations for targeted soil remediation using biochar, coal gangue, and urban sludge.

[0006] To achieve the above objectives, this invention provides a method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials, comprising: Obtain coal gangue material stream and urban sludge material stream, perform pretreatment on coal gangue material stream and composting pretreatment on urban sludge material stream to obtain coal gangue powder material stream and sludge material stream; Soil samples were taken from both shallow and deep layers within the pre-constructed target area to obtain a soil sample set. Composition analysis was performed on soil sample sets, coal gangue powder material streams, and sludge material streams, and composition content reports were obtained. Multiple biochars, multiple microbial communities, and multiple enriching plants are obtained, and multiple first initial raw material combinations are obtained by combining the multiple biochars, multiple microbial communities, and multiple enriching plants with multiple factors. Based on the component content report, multiple initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow, multiple unit soil remediation experimental groups were constructed. Based on the preset test pause conditions, soil remediation experiments were carried out on the multiple unit soil remediation experimental groups to obtain the optimal solution.

[0007] Optionally, the pretreatment of the coal gangue material stream and the composting pretreatment of the municipal sludge material stream to obtain the coal gangue powder material stream and the sludge material stream include: Coal gangue material flow is input into a pre-constructed toothed roller crusher to obtain coarsely crushed coal gangue. Based on a pre-constructed fine particle size sequence, a pre-constructed double roller crusher is used to further crush the coarsely crushed coal gangue to obtain coal gangue of multiple target particle sizes. The fine particle size sequence includes multiple fine particle sizes, and each fine particle size corresponds one-to-one with the target particle size coal gangue. The smallest fine-grained coal gangue is extracted from coal gangue of multiple target particle sizes, and coal gangue powder material flow is obtained based on the coal gangue of multiple target particle sizes and the smallest fine-grained coal gangue. Using multiple pre-constructed composting raw materials, urban sludge material streams are pre-treated for composting based on preset composting ratios to obtain composted sludge material streams. After confirming that the composted sludge material streams meet preset usability conditions, the composted sludge material streams are confirmed as sludge material streams. The multiple composting raw materials include: sawdust, straw, and mature compost.

[0008] Optionally, the step of obtaining a coal gangue powder material flow based on multiple target particle size coal gangue and the smallest 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; Powder fineness is extracted sequentially from a pre-constructed powder fineness sequence. The target coal gangue screened from the smallest fineness coal gangue is ground using a pre-constructed powder grinding device and powder fineness to obtain initial powdered coal gangue. The initial powdered coal gangue is introduced into the transition device, and the fan force is set based on the powder fineness to obtain a preparatory fan. The initial powdered coal gangue in the transition device is sorted by the preparatory fan to obtain coal gangue powder and coal gangue to be settled. The centrifugal settling device is used to perform centrifugal settling operation on the coal gangue to be settled, and the powder collection device is used to perform powder collection operation on the coal gangue powder to obtain settled coal gangue and initial unit coal gangue powder. Take out the unit coal gangue powder corresponding to the fine particle size from the initial unit coal gangue powder, and take the retained initial unit coal gangue powder as the minimum fine particle size coal gangue. Then return to the operation of extracting fine particle size from the pre-constructed fine particle size sequence in sequence until the fine particle size in the fine particle size sequence is completely extracted. By summing up the unit coal gangue powder and the coal gangue of multiple target particle sizes, multiple unit coal gangue powders are obtained; by summing up the settled coal gangue, multiple settled coal gangues are obtained. Based on multiple units of coal gangue powder, the multiple settled coal gangue are reprocessed to obtain multiple units of coal gangue powder material flow, which is denoted as coal gangue powder material flow.

[0009] Optionally, the construction of multiple unit soil remediation experimental groups based on component content reports, multiple first initial raw material combinations, soil sample sets, coal gangue powder material streams, and sludge material streams includes: Based on the coal gangue powder material flow and sludge material flow, multiple second original parameter sets are designed. Each second original parameter set corresponds one-to-one with a unit coal gangue powder material flow, and each second original parameter set includes the same coal gangue ratio sequence and sludge ratio sequence. Soil samples were extracted sequentially from the soil sample set, and the following operations were performed on each extracted soil sample: Data integration and analysis of component content reports were performed to obtain physicochemical property reports of soil samples. Based on the physicochemical property reports, multiple target raw material combinations were selected from multiple initial raw material combinations. Multiple primary parameter sets were constructed based on the multiple target raw material combinations for soil remediation experiments. Each primary parameter set corresponds one-to-one with a target raw material combination. Each primary parameter set includes: one biochar, one microorganism, and one enriching plant. Different primary parameter sets include the same biochar content ratio sequence and the same microorganism content ratio sequence. Based on the pre-constructed orthogonal experimental method, multiple first original parameter sets and multiple second original parameter sets, multiple unit soil remediation experimental groups were obtained.

[0010] Optionally, the step of conducting soil remediation experiments on the multiple unit soil remediation experimental groups based on preset test pause conditions to obtain the optimal solution includes: The following procedures were performed on all soil remediation experimental groups within the multiple unit soil remediation experimental 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 1 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 minimum repair time. If the time corresponding to the filling coordinate is less than the preset minimum 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 indicator repair map corresponding to the target indicator from the target raw data, perform curve fitting on the complete indicator repair map to obtain the complete indicator curve map, identify the suboptimal repair cutoff point from the complete indicator curve map, wherein the horizontal axis of the suboptimal repair cutoff point is greater than the preset shortest repair time corresponding to the target indicator, and the repair efficiency corresponding to the suboptimal repair cutoff point is less than the preset efficiency threshold. By summarizing the suboptimal remediation cutoff points, we obtain a group of suboptimal remediation cutoff points corresponding to multiple unit target remediation indicators. If the unit soil remediation experimental group is confirmed to be retained based on the suboptimal remediation cutoff point group, then the unit soil remediation experimental group is confirmed as the target formulation group. The target formulation groups are summarized to obtain the target formulation set corresponding to the soil samples, and the optimal solution is obtained based on the target formulation set.

[0013] Optionally, if the unit soil remediation experimental group is confirmed to be retained based on the suboptimal remediation cutoff point group, it includes: Extract suboptimal repair cutoff points sequentially from the suboptimal repair cutoff point group. If the ordinate corresponding to the suboptimal repair cutoff point is greater than or equal to the preset target indicator repair warning value, mark the target indicator corresponding to the suboptimal repair cutoff point as a failure indicator and count the number of failure indicators corresponding to the suboptimal repair cutoff point group. If the number of failure indicators is less than the preset threshold for the number of failure indicators, then the unit soil remediation experimental group will be retained.

[0014] Optionally, obtaining the optimal solution based on the target formula set includes: Perform the following operations on all target formulation groups in the target formulation group set: Multiple evaluation indicators are obtained, including: remediation time of multiple unit target remediation indicators, overall remediation satisfaction rate of target remediation indicators, formula configuration cost, soil pH fluctuation stability rate, soil electrical conductivity, clay content, silt content, sand content, porosity, water holding capacity, organic matter content, and nitrogen, phosphorus and potassium content. Based on the pre-constructed entropy weight method and multiple evaluation indicators, the comprehensive evaluation score corresponding to the target formulation group is calculated. Summarize the comprehensive evaluation scores to obtain the comprehensive evaluation score set of the target formula group set. Identify a preset number of comprehensive evaluation scores from the comprehensive evaluation score set to obtain the suboptimal score set. Obtain all target formula groups corresponding to the suboptimal score set to obtain the optimized formula group set. Based on the optimized formulation set, a multi-soil synchronous experiment based on the soil sample set is performed to obtain a multi-soil target formulation set. Based on the multi-soil target formulation set and the optimized formulation set, the target optimal solution is obtained.

[0015] To achieve the above objectives, the present invention also provides a soil remediation formulation optimization system based on biochar modification of solid waste raw materials, comprising: The material flow preprocessing module is used to acquire coal gangue material flow and urban sludge material flow, perform preprocessing on the coal gangue material flow and composting preprocessing on the urban sludge material flow to obtain coal gangue powder material flow and sludge material flow. The raw material acquisition module is used to conduct soil sampling at both shallow and deep layers in a pre-constructed target area to obtain a soil sample set. It performs component detection on the soil sample set, coal gangue powder material flow, and sludge material flow to obtain a component content report. It also acquires various biochar, various microbial communities, and various enriched plants. The module combines these biochar, microbial communities, and enriched plants using multiple factors to obtain multiple first initial raw material combinations. The experimental group construction module is used to construct multiple unit soil remediation experimental groups based on component content reports, multiple first initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow; The optimization module is used to conduct soil remediation experiments on the multiple unit soil remediation experimental groups based on preset test pause conditions to obtain the optimal solution.

[0016] To address the above problems, the present invention also provides an electronic device, the electronic device comprising: Memory, storing at least one instruction; The processor executes the instructions stored in the memory to implement the above-described method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials.

[0017] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the aforementioned method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials.

[0018] To address the problems described in the background art, this invention obtains coal gangue material streams and urban sludge material streams, performs pretreatment on the coal gangue material stream, and performs composting pretreatment on the urban sludge material stream, resulting in coal gangue powder material streams and sludge material streams. Based on the mineral composition, physical properties, and slow-release nutrient characteristics of coal gangue, this invention uses coal gangue as one of the raw materials for soil remediation. Furthermore, based on the characteristics of urban sludge, after treatment, that its components can remediate soil and promote plant growth, this invention also uses urban sludge as one of the raw materials for soil remediation. Soil samples are taken at both shallow and deep layers within a pre-constructed target area to obtain a soil sample set. Component analysis is performed on the soil sample set, the coal gangue powder material stream, and the sludge material stream, respectively, to obtain a component content report. This invention analyzes different raw materials, providing a reference for multiple evaluation indicators. This invention obtains various biochar, microbial communities, and enriched plants, and combines these materials using multiple factors to obtain multiple initial raw material combinations. Based on component content reports, these initial raw material combinations, soil sample sets, coal gangue powder material streams, and sludge material streams, multiple unit soil remediation experimental groups are constructed. It is evident that this invention selects different biochar and enriched plants for soil remediation based on the different component contents of soil samples, coal gangue, and sludge material streams, thus achieving targeted soil remediation. Based on preset test pause conditions, soil remediation experiments are conducted on the multiple unit soil remediation experimental groups to obtain the optimal solution. As can be seen, this invention fits the complete index curve and extracts the suboptimal remediation cutoff point, more accurately finding the point where the remediation efficiency is less than the preset efficiency threshold. Simultaneously, it uses the entropy weight method to find targeted formulations that meet the target requirements. Furthermore, this invention summarizes the optimized formulation sets corresponding to each soil sample, obtaining a summarized optimized formulation set. By conducting soil remediation experiments on each soil sample from the summarized optimized formulation set and evaluating them using the method (entropy weight method) described earlier in this invention's embodiments, a multi-soil target formulation set with general applicability can be screened. Therefore, this invention can achieve targeted soil remediation formulation optimization using biochar, coal gangue, and urban sludge in conjunction. Attached Figure Description

[0019] Figure 1 This is a schematic flowchart of a soil remediation formulation optimization method based on solid waste biochar modification according to an embodiment of the present invention. Figure 2 This is a functional block diagram of a soil remediation formulation optimization system based on solid waste biochar modification, provided in an embodiment of the present invention. Figure 3This is a schematic diagram of the structure of an electronic device for implementing the soil remediation formulation optimization method based on solid waste biochar modification, as provided in an embodiment of the present invention.

[0020] Explanation of reference numerals in the attached figures: 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0021] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0022] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0023] This application provides a method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials. The executing entity of this method includes, but is not limited to, at least one electronic device configured to execute the method provided in this application, such as a server or a terminal. In other words, the method can be executed by software or hardware installed on a terminal device or server device, and the software may 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.

[0024] Reference Figure 1 The diagram shown is a flowchart illustrating a method for optimizing soil remediation formulations based on solid waste biochar modification, according to an embodiment of the present invention. In this embodiment, the method for optimizing soil remediation formulations based on solid waste biochar modification includes: S1. Obtain coal gangue material stream and urban sludge material stream, perform pretreatment on coal gangue material stream and composting pretreatment on urban sludge material stream to obtain coal gangue powder material stream and sludge material stream.

[0025] Understandably, the coal gangue material stream is a material stream composed of coal gangue, which can be collected from coal mines. Before obtaining the coal gangue material stream, the collected coal gangue undergoes processes such as crushing, drying, impurity removal, and screening. The mineral composition, physical properties, and slowly released nutrients of coal gangue can improve soil function; therefore, this invention uses coal gangue as one of the raw materials for soil remediation.

[0026] Specifically, the urban sludge material stream is a material stream composed of urban sludge, which can come from semi-solid byproducts generated during wastewater treatment or from domestic sewage sludge. After treatment, the components contained in urban sludge can remediate the soil and promote plant growth, etc. Therefore, this invention uses urban sludge as one of the raw materials for soil remediation.

[0027] Specifically, the pretreatment of the coal gangue material stream and the composting pretreatment of the municipal sludge material stream to obtain the coal gangue powder material stream and the sludge material stream include: Coal gangue material flow is input into a pre-constructed toothed roller crusher to obtain coarsely crushed coal gangue. Based on a pre-constructed fine particle size sequence, a pre-constructed double roller crusher is used to further crush the coarsely crushed coal gangue to obtain coal gangue of multiple target particle sizes. The fine particle size sequence includes multiple fine particle sizes, and each fine particle size corresponds one-to-one with the target particle size coal gangue. The smallest fine-grained coal gangue is extracted from coal gangue of multiple target particle sizes, and coal gangue powder material flow is obtained based on the coal gangue of multiple target particle sizes and the smallest fine-grained coal gangue. Using multiple pre-constructed composting raw materials, urban sludge material streams are pre-treated for composting based on preset composting ratios to obtain composted sludge material streams. After confirming that the composted sludge material streams meet preset usability conditions, the composted sludge material streams are confirmed as sludge material streams. The multiple composting raw materials include: sawdust, straw, and mature compost.

[0028] It is understandable that both toothed roll crushers and double roll crushers are devices for crushing coal gangue, and are existing technologies, so they will not be described in detail here. The target particle size of the coal gangue refers to the material flow with the aforementioned fine particle size. The fine particle size sequence is an artificially constructed sequence, and specific parameters can be obtained by consulting literature. Fine particle size is a parameter used to describe the average particle size of the coal gangue. The minimum fine particle size of the coal gangue is the material flow with the smallest particle size among multiple target particle size coal gangue. For example, if the fine particle size sequence is 10mm, 5mm, and 2mm, then the multiple target particle size coal gangue refers to three material flows with coal gangue particle sizes of 10mm, 5mm, and 2mm respectively. The minimum fine particle size of the coal gangue refers to the material flow with a coal gangue particle size of 2mm. The fine crushing refers to the operation of crushing the coarsely crushed coal gangue using a double roll crusher, which is existing technology and will not be described in detail here.

[0029] Furthermore, the various composting raw materials can be collected from the surrounding areas of the city. The mature compost refers to an organic fertilizer product produced through aerobic fermentation, where organic waste (such as urban sludge, agricultural straw, kitchen waste, etc.) is completely decomposed by microorganisms, achieving stabilization and harmlessness. The preset composting ratio is a fixed proportion set artificially between the urban sludge material stream, sawdust, straw, and mature compost. The composted sludge material stream is the organic fertilizer material stream obtained by composting urban sludge material stream, sawdust, straw, and mature compost according to a fixed proportion. Confirming that the composted sludge material stream meets preset usability conditions aims to ensure that the urban sludge will not cause secondary pollution to the soil requiring remediation during subsequent use. These usability conditions are those that comply with relevant standards, such as the "Agricultural Sludge Standard," etc., which are not limited in this invention.

[0030] Specifically, the process of obtaining a coal gangue powder material flow based on multiple target particle size coal gangue and the smallest 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; Powder fineness is extracted sequentially from a pre-constructed powder fineness sequence. The target coal gangue screened from the smallest fineness coal gangue is ground using a pre-constructed powder grinding device and powder fineness to obtain initial powdered coal gangue. The initial powdered coal gangue is introduced into the transition device, and the fan force is set based on the powder fineness to obtain a preparatory fan. The initial powdered coal gangue in the transition device is sorted by the preparatory fan to obtain coal gangue powder and coal gangue to be settled. The centrifugal settling device is used to perform centrifugal settling operation on the coal gangue to be settled, and the powder collection device is used to perform powder collection operation on the coal gangue powder to obtain settled coal gangue and initial unit coal gangue powder. Take out the unit coal gangue powder corresponding to the fine particle size from the initial unit coal gangue powder, and take the retained initial unit coal gangue powder as the minimum fine particle size coal gangue. Then return to the operation of extracting fine particle size from the pre-constructed fine particle size sequence in sequence until the fine particle size in the fine particle size sequence is completely extracted. By summing up the unit coal gangue powder and the coal gangue of multiple target particle sizes, multiple unit coal gangue powders are obtained; by summing up the settled coal gangue, multiple settled coal gangues are obtained. Based on multiple units of coal gangue powder, the multiple settled coal gangue are reprocessed to obtain multiple units of coal gangue powder material flow, which is denoted as coal gangue powder material flow.

[0031] Understandably, the powder separation device is used for screening coal gangue powder. The transition device is used to hold the smallest fine-grained coal gangue particles before powder screening. The centrifugal settling device is used to collect the coal gangue to be settled, and the powder collection device is used to collect coal gangue powder with a particle size conforming to the fine-grained powder specification. The powder grinding device is used to grind the coal gangue, and the particle size of the coal gangue after grinding is smaller than that in the double-roll crusher.

[0032] Furthermore, the fine particle size sequence includes multiple fine particle sizes, and these multiple fine particle sizes are arranged from largest to smallest. Therefore, in the operation of sequentially extracting fine particle sizes from the pre-constructed fine particle size sequence, the first fine particle size extracted is the fine particle size with the largest particle size in the fine particle size sequence, which is smaller than the smallest fine particle size, coal gangue.

[0033] Specifically, the target coal gangue is coal gangue screened from the smallest fine-grained coal gangue, and is identical to the smallest fine-grained coal gangue. The initial powdered coal gangue is coal gangue that has been ground by a powder grinding device, and whose particle size basically conforms to the aforementioned fine-grained powder. The blower force is a wind force set according to the fine-grained powder, capable of blowing up the initial powdered coal gangue of the corresponding fine-grained powder. The process of using the preparatory blower to separate the initial powdered coal gangue in the transition device refers to: using the preparatory blower to blow air onto the initial powdered coal gangue in the transition device. During this process, coal gangue particles meeting the fine particle size requirement will be blown up by the blower, resulting in coal gangue powder. However, coal gangue particles that are not sufficiently ground and have a particle size larger than the fine particle size will not be blown up, thus obtaining the coal gangue to be settled. This invention utilizes the centrifugal settling device to perform centrifugal settling on the coal gangue to be settled, i.e., to collect the coal gangue to be settled, and uses the powder collection device to perform powder collection on the coal gangue powder, collecting the initial unit coal gangue powder.

[0034] It should be noted that since the settled coal gangue is coal gangue that was not sufficiently ground during the preparation of the initial powdered coal gangue corresponding to the fine particle size, the settled coal gangue does not meet the fine particle size required for the initial unit coal gangue powder. This invention performs a reprocessing operation on multiple settled coal gangue to achieve the reuse of multiple settled coal gangue and save energy. The main purpose of the reprocessing operation is to perform powder grinding on the settled coal gangue and identify the fine particle size of the coal gangue powder after powder grinding. It is then merged with the unit coal gangue powder with the same fine particle size from multiple unit coal gangue powders to achieve the purpose of saving energy.

[0035] Furthermore, in the process of extracting the unit coal gangue powder corresponding to the fine particle size from the initial unit coal gangue powder and using the retained initial unit coal gangue powder as the minimum fine particle size coal gangue, a portion of the initial unit coal gangue powder is used as the unit coal gangue powder corresponding to the fine particle size, while the other portion is used as raw material for further grinding, thereby using a powder grinding device to grind the unit coal gangue powder with a smaller particle size. It should be noted that during the first execution of the powder grinding of the target coal gangue screened from the smallest fine-grained coal gangue using the pre-constructed powder grinding device and powder fineness, only a portion of the smallest fine-grained coal gangue is taken as the target coal gangue, and the remaining portion is retained as the smallest fine-grained coal gangue. In subsequent operations, since the operation of taking out the unit coal gangue powder corresponding to the fineness of the powder from the initial unit coal gangue powder and using the retained initial unit coal gangue powder as the smallest fine-grained coal gangue has already been performed, all the smallest fine-grained coal gangue is used as the target coal gangue for powder grinding.

[0036] For example, if the minimum fine-grained coal gangue has a particle size of 20mm and the fine-grained powder sequence includes 5mm and 2mm, then the minimum fine-grained coal gangue is divided into two equal parts. One part is retained as the minimum fine-grained coal gangue, and the other part is the target coal gangue. The target coal gangue is ground into powder to obtain an initial powdered coal gangue of 5mm. Then, a preparatory blower is used to separate the initial powdered coal gangue in the transition device. In the initial powdered coal gangue, the insufficiently ground initial powdered coal gangue will not be blown away and will be collected as settled coal gangue using the centrifugal settling device. The fully ground initial powdered coal gangue will be blown away and collected by the powder collection device as the initial unit coal gangue powder. Therefore, the fine-grained powder of the initial unit coal gangue powder at this time is 5mm.

[0037] As a further example, the powder with a fine particle size of 5 mm is divided into two equal parts. One part is used as unit coal gangue powder, and the other part is used as the smallest fine particle size coal gangue. The operation of extracting fine particle size from the pre-constructed powder fine particle size sequence is returned. At this time, the fine particle size is extracted again, and the extracted fine particle size is 2 mm. At the same time, this is not the first time to perform the operation of grinding the target coal gangue screened from the smallest fine particle size coal gangue using the pre-constructed powder grinding device and powder fine particle size. Therefore, the smallest fine particle size coal gangue (at this time the powder fine particle size is 2 mm) is used as the initial powdered coal gangue for subsequent operations.

[0038] S2. Conduct soil sampling at both shallow and deep layers within the pre-constructed target area to obtain a soil sample set.

[0039] It is understood that the aforementioned soil surface sampling refers to sampling both the surface layer and the deep layer of soil. The target area is the region where soil sampling will be conducted. Specifically, the surface layer refers to the soil 0-20cm below the land surface, and the deep layer refers to the soil greater than 20cm below the land surface.

[0040] For example, in district y of city x, sampling points are evenly set up, and the quincunx sampling method is used to sample both the surface and deep soil layers at each sampling point to obtain a soil sample set.

[0041] S3. Perform component analysis on the soil sample set, coal gangue powder material flow and sludge material flow respectively, and obtain component content reports.

[0042] Understandably, the indicators tested for compositional analysis of soil samples, coal gangue powder material streams, and sludge material streams differ. For example, soil sample analysis requires testing basic physicochemical properties (e.g., organic matter content, heavy metal pollutant content, etc.). Compositional analysis of coal gangue powder material streams includes, but is not limited to, particle size analysis and non-metallic element determination for each unit of coal gangue powder material stream. Analysis of sludge material streams includes, but is not limited to, detection of organic matter content, nitrogen content, phosphorus content, heavy metal content, and microbial community content. This invention does not limit the methods and indicators for the aforementioned compositional analysis; these can be achieved through various existing technologies. However, it should be noted that the compositional content report should at least include the detection of the target component indicators and should provide a reference for multiple evaluation indicators.

[0043] Specifically, the component content reports include reports for each soil sample in the soil sample set, reports for each unit of coal gangue powder material flow in the coal gangue powder material flow, and reports corresponding to the sludge material flow, and all component content reports are text-based reports.

[0044] S4. Obtain multiple types of biochar, multiple microbial communities, and multiple enriched plants, and combine the multiple types of biochar, multiple microbial communities, and multiple enriched plants with multiple factors to obtain multiple first initial raw material combinations.

[0045] Understandably, different biochar and different enriching plants can be selected for soil remediation when the composition of soil samples, coal gangue, and sludge material flow are different. Therefore, this invention combines multiple biochar, multiple microbial communities, and multiple enriching plants to obtain multiple first initial raw material combinations.

[0046] Specifically, the various biochars, microbial communities, and enriching plants mentioned can be obtained from literature or from previous laboratory experience; this invention does not limit these methods. The combination refers to a permutation and combination operation.

[0047] For example, if multiple biochars include rice husk charcoal and wood charcoal, the microbial community includes Bacillus subtilis, and the enriching plants include centipede grass and willow, then the first initial raw material combination obtained after combining multiple factors can be [rice husk charcoal, Bacillus subtilis, centipede grass], [wood charcoal, Bacillus subtilis, centipede grass], and so on. Examples will not be given here.

[0048] S5. Based on component content reports, multiple initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow, multiple unit soil remediation experimental groups were constructed.

[0049] Specifically, the construction of multiple unit soil remediation experimental groups based on component content reports, multiple first initial raw material combinations, soil sample sets, coal gangue powder material streams, and sludge material streams includes: Based on the coal gangue powder material flow and sludge material flow, multiple second original parameter sets are designed. Each second original parameter set corresponds one-to-one with a unit coal gangue powder material flow, and each second original parameter set includes the same coal gangue ratio sequence and sludge ratio sequence. Soil samples were extracted sequentially from the soil sample set, and the following operations were performed on each extracted soil sample: Data integration and analysis of component content reports were performed to obtain physicochemical property reports of soil samples. Based on the physicochemical property reports, multiple target raw material combinations were selected from multiple initial raw material combinations. Multiple primary parameter sets were constructed based on the multiple target raw material combinations for soil remediation experiments. Each primary parameter set corresponds one-to-one with a target raw material combination. Each primary parameter set includes: one biochar, one microorganism, and one enriching plant. Different primary parameter sets include the same biochar content ratio sequence and the same microorganism content ratio sequence. Based on the pre-constructed orthogonal experimental method, multiple first original parameter sets and multiple second original parameter sets, multiple unit soil remediation experimental groups were obtained.

[0050] Understandably, the coal gangue proportion sequence is an artificially set volume ratio of coal gangue powder material that should be added per unit of soil remediation experimental group, such as 10%, 15%, etc. The sludge proportion sequence is an artificially set proportion of sludge material that should be added per unit of soil remediation experimental group. The physicochemical property report corresponds to the soil sample in the component content report.

[0051] It is understood that all addition ratios in this embodiment are volume ratios. During the process of integrating and analyzing the component content reports to obtain the physicochemical property report of the soil samples, since the component content reports include reports for each soil sample in the soil sample set, data integration and analysis can be performed on the component content reports to obtain the physicochemical property report of the soil samples. Specific integration methods may include indicating heavy metal elements, indicating heavy metal content, analyzing whether heavy metal content exceeds the standard, etc., and this invention does not limit these methods.

[0052] It should be noted that different biochar, different accumulating plants, and different microorganisms have different effects on different heavy metals. For example, if the soil sample is heavily polluted with Ni and Zn, it can be used as an accumulating plant. If the soil sample is heavily polluted with heavy metals, it can be used as a microorganism. Therefore, multiple first target raw material combinations screened from multiple first initial raw material combinations can be used for targeted soil remediation.

[0053] Furthermore, the first set of original parameters is a set of parameters used to describe the content of biochar, microorganism and enriching plant. Similar to the second set of original parameters, 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 artificially set proportion of biochar and microorganism in a unit soil remediation experimental group.

[0054] Furthermore, the orthogonal experimental method, an existing technology, uses orthogonal combination matching of multiple first original parameter sets and multiple second original parameter sets to generate representative unit soil remediation experimental groups. This method can cover the entire parameter space with the fewest number of experiments, optimize the efficiency of soil remediation experiments, and reduce experimental costs.

[0055] For example, multiple first original parameter groups include, but are not limited to: [rice husk charcoal, Bacillus subtilis, centipede grass], [charcoal, Bacillus subtilis, centipede grass], [rice husk charcoal, Bacillus subtilis, woad], [charcoal, Bacillus subtilis, woad], etc. Multiple sets of second-order original parameters represent multiple groups: [15% and 20% of 1mm fine-grained coal gangue added to the soil remediation formula, and 15% and 20% of sludge material added to the soil remediation formula] and [15% and 20% of 3mm fine-grained coal gangue added to the soil remediation formula, and 15% and 20% of sludge material added to the soil remediation formula]. Therefore, in a single unit soil remediation experimental group, it is necessary to confirm various parameters such as the type of charcoal, the proportion of charcoal added, the type of microorganisms, the proportion of microorganisms added, the type of enriching plants, the fineness of coal gangue powder, the proportion of coal gangue added, and the proportion of sludge material added. Therefore, in order to generate a representative unit soil remediation experimental group that can cover the entire parameter space with the fewest number of experiments and optimize the efficiency of soil remediation experiments, an orthogonal experimental method is used to design multiple unit soil remediation experimental groups.

[0056] S6. Based on preset test pause conditions, conduct soil remediation experiments on the multiple unit soil remediation experimental groups to obtain the optimal solution.

[0057] Specifically, based on preset test pause conditions, soil remediation experiments are conducted on the multiple unit soil remediation experimental groups to obtain the optimal solution, including: The following procedures were performed on all soil remediation experimental groups within the multiple unit soil remediation experimental 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.

[0058] It is understood that various existing technologies can be used to conduct the soil remediation experiment, which will not be elaborated here. The collection of remediated soil at a preset remediation effect verification time interval means that soil samples are collected from the soil remediation experiment, using a unit soil remediation experimental group as a condition, at fixed time intervals (i.e., the preset remediation effect verification time interval). The collected soil is the remediated soil. For example, if the remediation effect verification time interval is 5 days, then soil samples are taken from the soil remediation experiment every 5 days to obtain the remediated soil.

[0059] Furthermore, the component testing based on the target remediation index refers to the operation of testing the content of multiple target remediation indices. For example, if the target remediation indices include multiple target remediation indices such as divalent copper ions, heavy metal elements cadmium and lead, then it means that the content of divalent copper ions, heavy metal elements cadmium and lead in the soil to be remediated needs to be tested.

[0060] Specifically, the test suspension condition refers to the cessation of ongoing soil remediation experiments based on a single unit soil remediation experimental group. Please refer to subsequent embodiments for details. The original remediation data is a collection of unit test results from multiple unit soil remediation experimental groups. Each unit test result includes results corresponding to multiple unit target remediation indicators. Therefore, each unit test result corresponds to one unit soil remediation experimental group. By summarizing the unit test results, the original remediation data of multiple unit soil remediation experimental groups is obtained. Thus, the original remediation data corresponds one-to-one with the soil sample.

[0061] Specifically, 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 1 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 minimum repair time. If the time corresponding to the filling coordinate is less than the preset minimum 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.

[0062] Understandably, the two-dimensional index graph is a Cartesian coordinate system with time as the horizontal axis and the unit target remediation index as the vertical axis. The phrase "filling the pre-constructed two-dimensional index graph with test result values ​​based on unit test results" refers to using the content value corresponding to the unit target remediation index extracted from the unit test results as the vertical axis (e.g., cadmium content), and the time of the unit test results as the horizontal axis (e.g., 10 days have passed since the start of the soil remediation experiment) to fill the index graph. The resulting filled coordinates are: (10, V) CR ), where 10 represents the time per unit test result, V CR This represents the content value corresponding to the unit target repair index. The preceding coordinate is the fill coordinate under the unit target repair index in the unit test results, which is adjacent to the fill coordinate, has a time interval equal to the repair effect verification time interval, and is earlier than the fill coordinate.

[0063] For example, if the time interval for testing the repair effect is 5 days, the fill coordinates are: (10, V) CR Then the preceding coordinates are (5, V). CR-1 ), where 5 indicates that 5 days have passed since the start of the soil remediation experiment, V CR-1 This indicates the content value corresponding to the unit target repair index in the preceding coordinates.

[0064] Furthermore, the absolute value of the slope of the fitted straight line is obtained by calculating the slope between the preceding coordinates and the filling coordinates, and then calculating the absolute value of the slope. The calculation of the slope is a prior art and will not be described in detail here.

[0065] Understandably, this invention aims to remediate heavy metal pollutants in soil. Therefore, if a unit soil remediation experimental group is effective in remediating the unit target remediation index in a soil sample, the content of heavy metal pollutants should be as low as possible. Thus, multiple unit target remediation indices represent the content of multiple different heavy metal pollutants. If other elements in the soil (such as nitrogen, phosphorus, and potassium) are to be remediated, it is necessary to compare the content of other elements in the soil with the target content range. If the content of other elements in the soil is greater than the upper limit of the target content range, the method for remediating heavy metal pollutants in the soil can be implemented similarly by analogy with this invention. If the content of other elements in the soil is less than the lower limit of the target content range, the method for remediating heavy metal pollutants in the soil can be reversed and implemented similarly. Therefore, this invention elaborates on the method for remediating heavy metal pollutants in soil, and will not elaborate on other situations.

[0066] Specifically, when the remediation efficiency is greater than or equal to the preset efficiency threshold, it indicates that the soil remediation is still ongoing, thus confirming that the unit target remediation index does not meet the preset test suspension conditions.

[0067] Furthermore, if the remediation efficiency is less than the preset efficiency threshold, it may be because the soil remediation experiment has just begun. Therefore, this invention further determines whether the time corresponding to the filling coordinate is less than the preset minimum remediation time. If the time corresponding to the filling coordinate is less than the preset minimum remediation time, it is considered that the soil remediation experiment has just begun and the remediation effect on the soil is not obvious. Therefore, it is confirmed that the unit target remediation index does not meet the preset test suspension condition.

[0068] Specifically, the original repair dataset is evaluated and analyzed to obtain the optimal solution, including: 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 indicator repair map corresponding to the target indicator from the target raw data, perform curve fitting on the complete indicator repair map to obtain the complete indicator curve map, identify the suboptimal repair cutoff point from the complete indicator curve map, wherein the horizontal axis of the suboptimal repair cutoff point is greater than the preset shortest repair time corresponding to the target indicator, and the repair efficiency corresponding to the suboptimal repair cutoff point is less than the preset efficiency threshold. By summarizing the suboptimal remediation cutoff points, we obtain a group of suboptimal remediation cutoff points corresponding to multiple unit target remediation indicators. If the unit soil remediation experimental group is confirmed to be retained based on the suboptimal remediation cutoff point group, then the unit soil remediation experimental group is confirmed as the target formulation group. The target formulation groups are summarized to obtain the target formulation set corresponding to the soil samples, and the optimal solution is obtained based on the target formulation set.

[0069] Understandably, the target raw data is the raw remediation data extracted from the raw remediation dataset. The complete index remediation map is an image showing the change in the content of heavy metal pollutants corresponding to the target index over time after the soil sample has undergone the entire soil remediation experiment under the conditions of a unit soil remediation experimental group. At this time, the complete index remediation map is still a scatter plot composed of various filled coordinates. The curve fitting is a prior art technique; optionally, polynomial fitting can be used to fit the complete index curve.

[0070] Specifically, the shortest repair time is identified, and from the complete index curve corresponding to a repair time greater than the shortest repair time, the point with the shortest repair time and a repair efficiency less than a preset efficiency threshold is found, thus obtaining the suboptimal repair cutoff point. The verification interval set in this invention is 5 days; however, in actual experiments, it may be set to 10 days, a week, or other times. The shorter the sampling interval, the more accurate the complete index curve; a shorter and longer sampling interval saves costs. However, the suboptimal repair cutoff point is highly likely not to be displayed in the target original data. Therefore, this invention fits the complete index curve and extracts the suboptimal repair cutoff point to more accurately find the point where the repair efficiency is less than the preset efficiency threshold, which is consistent with reality.

[0071] Specifically, if the unit soil remediation experimental group is confirmed to be retained based on the suboptimal remediation cutoff point group, it includes: Extract suboptimal repair cutoff points sequentially from the suboptimal repair cutoff point group. If the ordinate corresponding to the suboptimal repair cutoff point is greater than or equal to the preset target indicator repair warning value, mark the target indicator corresponding to the suboptimal repair cutoff point as a failure indicator and count the number of failure indicators corresponding to the suboptimal repair cutoff point group. If the number of failure indicators is less than the preset threshold for the number of failure indicators, then the unit soil remediation experimental group will be retained.

[0072] Understandably, this invention only considers remediation efficiency and time when obtaining the suboptimal remediation cutoff point, without considering the content of heavy metal pollutants corresponding to the target index in the remediated soil. Therefore, it is still necessary to screen the target formulation based on the content of heavy metal pollutants corresponding to the target index. Here, if the ordinate corresponding to the suboptimal remediation cutoff point is greater than or equal to the preset target index remediation warning value, it means that under the conditions of a unit soil remediation experimental group, after the remediation time corresponding to the suboptimal remediation cutoff point and the efficiency is less than the efficiency threshold, the content of the heavy metal corresponding to the target index is still greater than the target index remediation warning value. That is, the unit soil remediation experimental group cannot achieve the remediation of the heavy metal pollutants corresponding to the target index in the soil. Therefore, the target index corresponding to the suboptimal remediation cutoff point is marked as a failure index. The target index remediation warning value is the maximum value corresponding to the target index set by the individual, that is, the maximum content of the corresponding heavy metal that can be contained.

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

[0074] Specifically, obtaining the optimal solution based on the target formula set includes: Perform the following operations on all target formulation groups in the target formulation group set: Multiple evaluation indicators are obtained, including: remediation time of multiple unit target remediation indicators, overall remediation satisfaction rate of target remediation indicators, formula configuration cost, soil pH fluctuation stability rate, soil electrical conductivity, clay content, silt content, sand content, porosity, water holding capacity, organic matter content, and nitrogen, phosphorus and potassium content. Based on the pre-constructed entropy weight method and multiple evaluation indicators, the comprehensive evaluation score corresponding to the target formulation group is calculated. Summarize the comprehensive evaluation scores to obtain the comprehensive evaluation score set of the target formula group set. Identify a preset number of comprehensive evaluation scores from the comprehensive evaluation score set to obtain the suboptimal score set. Obtain all target formula groups corresponding to the suboptimal score set to obtain the optimized formula group set. Based on the optimized formulation set, a multi-soil synchronous experiment based on the soil sample set is performed to obtain a multi-soil target formulation set. Based on the multi-soil target formulation set and the optimized formulation set, the target optimal solution is obtained.

[0075] Understandably, the repair time per unit target remediation index is the x-axis of the suboptimal remediation cutoff point corresponding to that unit target remediation index. A shorter repair time per unit target remediation index indicates faster soil remediation, and therefore a better target formulation. The overall remediation satisfaction rate of the target remediation index is calculated as follows: , in, This indicates the overall satisfaction rate of the target repair indicators. This indicates the number of target repair indicators for multiple units. This indicates the number of failed indicators.

[0076] Specifically, the formulation configuration cost is the cost of implementing the target formulation group for soil remediation. The soil pH fluctuation stability rate is the fluctuation rate of soil pH during the soil remediation process. The more stable the soil pH fluctuation rate, the more conducive it is to the survival of microorganisms and plants in the soil. Therefore, the corresponding target formulation group is considered superior. Soil electrical conductivity, clay content, silt content, sand content, porosity, water holding capacity, organic matter content, and nitrogen, phosphorus, and potassium content are all existing technologies and will not be elaborated here. The entropy weight method is an objective weighting method based on information entropy theory. It determines the weight by calculating the entropy value of each evaluation indicator. This technology is existing technology and will not be elaborated here. The step of identifying a preset number of comprehensive evaluation scores from the comprehensive evaluation score set includes arranging the comprehensive evaluation score set in descending order of value, and extracting three comprehensive evaluation scores from the end with larger values ​​to obtain the second-best score set.

[0077] Furthermore, when obtaining the optimized formulation set, this invention is based on an optimized formulation set that can specifically remediate a soil sample. However, soil samples from different regions may share commonalities. Therefore, the optimized formulation sets corresponding to each soil sample are aggregated to obtain a aggregated optimized formulation set. Soil remediation experiments are then conducted on each soil sample from the aggregated optimized formulation set, and evaluated using the method (entropy weight method) described earlier in this invention. This allows for the selection of a versatile multi-soil target formulation set. This multi-soil target formulation set is similar in meaning to the optimized formulation set, capable of specifically remediating multiple soil samples. Based on the specific needs of professionals, the optimal solution can be obtained from the multi-soil target formulation set and the optimized formulation set. Therefore, the optimal solution is the formulation selected by professionals, which can be either a specific optimized formulation set or a versatile multi-soil target formulation set. This invention does not limit this.

[0078] To address the problems described in the background art, this invention obtains coal gangue material streams and urban sludge material streams, performs pretreatment on the coal gangue material stream, and performs composting pretreatment on the urban sludge material stream, resulting in coal gangue powder material streams and sludge material streams. Based on the mineral composition, physical properties, and slow-release nutrient characteristics of coal gangue, this invention uses coal gangue as one of the raw materials for soil remediation. Furthermore, based on the characteristics of urban sludge, after treatment, that its components can remediate soil and promote plant growth, this invention also uses urban sludge as one of the raw materials for soil remediation. Soil samples are taken at both shallow and deep layers within a pre-constructed target area to obtain a soil sample set. Component analysis is performed on the soil sample set, the coal gangue powder material stream, and the sludge material stream, respectively, to obtain a component content report. This invention analyzes different raw materials, providing a reference for multiple evaluation indicators. This invention obtains various biochar, microbial communities, and enriched plants, and combines these materials using multiple factors to obtain multiple initial raw material combinations. Based on component content reports, these initial raw material combinations, soil sample sets, coal gangue powder material streams, and sludge material streams, multiple unit soil remediation experimental groups are constructed. It is evident that this invention selects different biochar and enriched plants for soil remediation based on the different component contents of soil samples, coal gangue, and sludge material streams, thus achieving targeted soil remediation. Based on preset test pause conditions, soil remediation experiments are conducted on the multiple unit soil remediation experimental groups to obtain the optimal solution. As can be seen, this invention fits the complete index curve and extracts the suboptimal remediation cutoff point, more accurately finding the point where the remediation efficiency is less than the preset efficiency threshold. Simultaneously, it uses the entropy weight method to find targeted formulations that meet the target requirements. Furthermore, this invention summarizes the optimized formulation sets corresponding to each soil sample, obtaining a summarized optimized formulation set. By conducting soil remediation experiments on each soil sample from the summarized optimized formulation set and evaluating them using the method (entropy weight method) described earlier in this invention's embodiments, a multi-soil target formulation set with general applicability can be screened. Therefore, this invention can achieve targeted soil remediation formulation optimization using biochar, coal gangue, and urban sludge in conjunction.

[0079] like Figure 2 The diagram shown is a functional block diagram of a soil remediation formulation optimization system based on biochar modification of solid waste raw materials, provided in an embodiment of the present invention.

[0080] The soil remediation formulation optimization system 100 based on solid waste biochar modification of the present invention can be installed in an electronic device. Depending on the functions implemented, the soil remediation formulation optimization system 100 based on solid waste biochar modification of the present invention may 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 module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and which are stored in the memory of the electronic device. The material flow preprocessing module 101 is used to acquire coal gangue material flow and urban sludge material flow, perform preprocessing on the coal gangue material flow and composting preprocessing on the urban sludge material flow to obtain coal gangue powder material flow and sludge material flow. The raw material acquisition module 102 is used to perform deep and shallow soil sampling in the pre-constructed target area to obtain a soil sample set, perform component detection on the soil sample set, coal gangue powder material flow and sludge material flow respectively to obtain a component content report, acquire multiple biochar, multiple microbial communities and multiple enriched plants, and perform multi-factor combination on the multiple biochar, multiple microbial communities and multiple enriched plants to obtain multiple first initial raw material combinations; The experimental group construction module 103 is used to construct multiple unit soil remediation experimental groups based on component content reports, multiple first initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow. The optimization module 104 is used to conduct soil remediation experiments on the multiple unit soil remediation experimental groups based on preset test pause conditions to obtain the optimal solution.

[0081] In detail, the modules in the soil remediation formula optimization system 100 based on solid waste biochar modification described in this embodiment of the invention employ the same methods as described above. Figure 1 The method described herein is the same as the soil remediation formulation optimization method based on biochar modification of solid waste raw materials, and can produce the same technical effect, so it will not be repeated here.

[0082] like Figure 3 The diagram shown is a schematic representation of an electronic device for implementing a soil remediation formulation optimization method based on biochar modification of solid waste raw materials, according to an embodiment of the present invention.

[0083] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a soil remediation formulation optimization method program based on biochar modification of solid waste raw materials.

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

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

[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 electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0088] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0089] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

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

[0091] The program for optimizing soil remediation formulations based on biochar modification from solid waste raw materials, stored in the memory 11 of the electronic device 1, is a combination of multiple instructions. When run in the processor 10, it can achieve the following: Obtain coal gangue material stream and urban sludge material stream, perform pretreatment on coal gangue material stream and composting pretreatment on urban sludge material stream to obtain coal gangue powder material stream and sludge material stream; Soil samples were taken from both shallow and deep layers within the pre-constructed target area to obtain a soil sample set. Composition analysis was performed on soil sample sets, coal gangue powder material streams, and sludge material streams, and composition content reports were obtained. Multiple biochars, multiple microbial communities, and multiple enriching plants are obtained, and multiple first initial raw material combinations are obtained by combining the multiple biochars, multiple microbial communities, and multiple enriching plants with multiple factors. Based on the component content report, multiple initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow, multiple unit soil remediation experimental groups were constructed. Based on the preset test pause conditions, soil remediation experiments were carried out on the multiple unit soil remediation experimental groups to obtain the optimal solution.

[0092] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0093] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they 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 may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0094] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: Obtain coal gangue material stream and urban sludge material stream, perform pretreatment on coal gangue material stream and composting pretreatment on urban sludge material stream to obtain coal gangue powder material stream and sludge material stream; Soil samples were taken from both shallow and deep layers within the pre-constructed target area to obtain a soil sample set. Composition analysis was performed on soil sample sets, coal gangue powder material streams, and sludge material streams, and composition content reports were obtained. Multiple biochars, multiple microbial communities, and multiple enriching plants are obtained, and multiple first initial raw material combinations are obtained by combining the multiple biochars, multiple microbial communities, and multiple enriching plants with multiple factors. Based on the component content report, multiple initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow, multiple unit soil remediation experimental groups were constructed. Based on the preset test pause conditions, soil remediation experiments were carried out on the multiple unit soil remediation experimental groups to obtain the optimal solution.

[0095] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0096] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0097] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

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

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials, characterized in that, The method includes: Obtain coal gangue material stream and urban sludge material stream, perform pretreatment on coal gangue material stream and composting pretreatment on urban sludge material stream to obtain coal gangue powder material stream and sludge material stream; Soil samples were taken from both shallow and deep layers within the pre-constructed target area to obtain a soil sample set. Composition analysis was performed on soil sample sets, coal gangue powder material streams, and sludge material streams, and composition content reports were obtained. Multiple biochars, multiple microbial communities, and multiple enriching plants are obtained, and multiple first initial raw material combinations are obtained by combining the multiple biochars, multiple microbial communities, and multiple enriching plants with multiple factors. Based on the component content report, multiple initial raw material combinations, soil sample set, coal gangue powder material flow and sludge material flow, multiple unit soil remediation experimental groups were constructed. Based on the preset test pause conditions, soil remediation experiments were carried out on the multiple unit soil remediation experimental groups to obtain the optimal solution. The process of conducting soil remediation experiments on the multiple unit soil remediation experimental groups based on preset test pause conditions to obtain the optimal solution includes: The following procedures were performed on all soil remediation experimental groups within the multiple unit soil remediation experimental 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. Summarize the original repair data to obtain the original repair dataset, and evaluate and analyze the original repair dataset to obtain the optimal solution; Wherein, 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 index map is filled with test result values ​​to obtain the filled coordinates. The unit target remediation index corresponds one-to-one with the two-dimensional index map. The horizontal axis of the two-dimensional index map is time, and the vertical axis is the content value corresponding to the unit target remediation index. Multiple unit target remediation indices represent the content of multiple different heavy metal pollutants. Extract the preceding coordinates corresponding to the fill coordinates, and calculate the absolute value of the slope of the fitted line between the preceding coordinates and the fill coordinates to obtain the repair efficiency. Specifically, calculate the slope between the preceding coordinates and the fill coordinates, and then calculate the absolute value of the slope 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 minimum repair time. If the time corresponding to the filling coordinate is less than the preset minimum 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.

2. The method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials as described in claim 1, characterized in that, The pretreatment of the coal gangue material stream and the composting pretreatment of the municipal sludge material stream to obtain the coal gangue powder material stream and the sludge material stream include: Coal gangue material flow is input into a pre-constructed toothed roller crusher to obtain coarsely crushed coal gangue. Based on a pre-constructed fine particle size sequence, a pre-constructed double roller crusher is used to further crush the coarsely crushed coal gangue to obtain coal gangue of multiple target particle sizes. The fine particle size sequence includes multiple fine particle sizes, and each fine particle size corresponds one-to-one with the target particle size coal gangue. The smallest fine-grained coal gangue is extracted from coal gangue of multiple target particle sizes, and coal gangue powder material flow is obtained based on the coal gangue of multiple target particle sizes and the smallest fine-grained coal gangue. Using multiple pre-constructed composting raw materials, urban sludge material streams are pre-treated for composting based on preset composting ratios to obtain composted sludge material streams. After confirming that the composted sludge material streams meet preset usability conditions, the composted sludge material streams are confirmed as sludge material streams. The multiple composting raw materials include: sawdust, straw, and mature compost.

3. The method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials as described in claim 2, characterized in that, The method of obtaining coal gangue powder material flow based on multiple target particle size coal gangue 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; Powder fineness is extracted sequentially from a pre-constructed powder fineness sequence. The target coal gangue screened from the smallest fineness coal gangue is ground using a pre-constructed powder grinding device and powder fineness to obtain initial powdered coal gangue. The initial powdered coal gangue is introduced into the transition device, and the fan force is set based on the powder fineness to obtain a preparatory fan. The initial powdered coal gangue in the transition device is sorted by the preparatory fan to obtain coal gangue powder and coal gangue to be settled. The centrifugal settling device is used to perform centrifugal settling operation on the coal gangue to be settled, and the powder collection device is used to perform powder collection operation on the coal gangue powder to obtain settled coal gangue and initial unit coal gangue powder. Take out the unit coal gangue powder corresponding to the fine particle size from the initial unit coal gangue powder, and take the retained initial unit coal gangue powder as the minimum fine particle size coal gangue. Then return to the operation of extracting fine particle size from the pre-constructed fine particle size sequence in sequence until the fine particle size in the fine particle size sequence is completely extracted. By summing up the unit coal gangue powder and the coal gangue of multiple target particle sizes, multiple unit coal gangue powders are obtained; by summing up the settled coal gangue, multiple settled coal gangues are obtained. Based on multiple units of coal gangue powder, the multiple settled coal gangue are reprocessed to obtain multiple units of coal gangue powder material flow, which is denoted as coal gangue powder material flow.

4. The method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials as described in claim 3, characterized in that, The aforementioned method constructs multiple unit soil remediation experimental groups based on component content reports, multiple initial raw material combinations, soil sample sets, coal gangue powder material streams, and sludge material streams, including: Based on the coal gangue powder material flow and sludge material flow, multiple second original parameter sets are designed. Each second original parameter set corresponds one-to-one with a unit coal gangue powder material flow, and each second original parameter set includes the same coal gangue ratio sequence and sludge ratio sequence. Soil samples were extracted sequentially from the soil sample set, and the following operations were performed on each extracted soil sample: Data integration and analysis of component content reports were performed to obtain physicochemical property reports of soil samples. Based on the physicochemical property reports, multiple target raw material combinations were selected from multiple initial raw material combinations. Multiple primary parameter sets were constructed based on the multiple target raw material combinations for soil remediation experiments. Each primary parameter set corresponds one-to-one with a target raw material combination. Each primary parameter set includes: one biochar, one microorganism, and one enriching plant. Different primary parameter sets include the same biochar content ratio sequence and the same microorganism content ratio sequence. Based on the pre-constructed orthogonal experimental method, multiple first original parameter sets and multiple second original parameter sets, multiple unit soil remediation experimental groups were obtained.

5. The method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials as described in claim 4, characterized in that, The original repair dataset is evaluated and analyzed to obtain the optimal solution, including: 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 indicator repair map corresponding to the target indicator from the target raw data, perform curve fitting on the complete indicator repair map to obtain the complete indicator curve map, identify the suboptimal repair cutoff point from the complete indicator curve map, wherein the horizontal axis of the suboptimal repair cutoff point is greater than the preset shortest repair time corresponding to the target indicator, and the repair efficiency corresponding to the suboptimal repair cutoff point is less than the preset efficiency threshold. By summarizing the suboptimal remediation cutoff points, we obtain a group of suboptimal remediation cutoff points corresponding to multiple unit target remediation indicators. If the unit soil remediation experimental group is confirmed to be retained based on the suboptimal remediation cutoff point group, then the unit soil remediation experimental group is confirmed as the target formulation group. The target formulation groups are summarized to obtain the target formulation set corresponding to the soil samples, and the optimal solution is obtained based on the target formulation set.

6. The method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials as described in claim 5, characterized in that, If the unit soil remediation experimental group is confirmed to be retained based on the suboptimal remediation cutoff point group, it includes: Extract suboptimal repair cutoff points sequentially from the suboptimal repair cutoff point group. If the ordinate corresponding to the suboptimal repair cutoff point is greater than or equal to the preset target indicator repair warning value, mark the target indicator corresponding to the suboptimal repair cutoff point as a failure indicator and count the number of failure indicators corresponding to the suboptimal repair cutoff point group. If the number of failure indicators is less than the preset threshold for the number of failure indicators, then the unit soil remediation experimental group will be retained.

7. The method for optimizing soil remediation formulations based on biochar modification from solid waste raw materials as described in claim 6, characterized in that, The process of obtaining the optimal solution based on the target formula set includes: Perform the following operations on all target formulation groups in the target formulation group set: Multiple evaluation indicators are obtained, including: remediation time of multiple unit target remediation indicators, overall remediation satisfaction rate of target remediation indicators, formula configuration cost, soil pH fluctuation stability rate, soil electrical conductivity, clay content, silt content, sand content, porosity, water holding capacity, organic matter content, and nitrogen, phosphorus and potassium content. Based on the pre-constructed entropy weight method and multiple evaluation indicators, the comprehensive evaluation score corresponding to the target formulation group is calculated. Summarize the comprehensive evaluation scores to obtain the comprehensive evaluation score set of the target formula group set. Identify a preset number of comprehensive evaluation scores from the comprehensive evaluation score set to obtain the suboptimal score set. Obtain all target formula groups corresponding to the suboptimal score set to obtain the optimized formula group set. Based on the optimized formulation set, a multi-soil synchronous experiment based on the soil sample set is performed to obtain a multi-soil target formulation set. Based on the multi-soil target formulation set and the optimized formulation set, the target optimal solution is obtained.

8. A soil remediation formulation optimization system based on solid waste biochar modification, applied to the soil remediation formulation optimization method based on solid waste biochar modification as described in claims 1-7, characterized in that, The system includes: The material flow preprocessing module is used to acquire coal gangue material flow and urban sludge material flow, perform preprocessing on the coal gangue material flow and composting preprocessing on the urban sludge material flow to obtain coal gangue powder material flow and sludge material flow. The raw material acquisition module is used to conduct soil sampling at both shallow and deep layers in a pre-constructed target area to obtain a soil sample set. It performs component detection on the soil sample set, coal gangue powder material flow, and sludge material flow to obtain a component content report. It also acquires various biochar, various microbial communities, and various enriched plants. The module combines these biochar, microbial communities, and enriched plants using multiple factors to obtain multiple first initial raw material combinations. The experimental group construction module is used to construct multiple unit soil remediation experimental groups based on component content reports, multiple first initial raw material combinations, soil sample sets, coal gangue powder material flow and sludge material flow; The optimization module is used to conduct soil remediation experiments on the multiple unit soil remediation experimental groups based on preset test pause conditions to obtain the optimal solution.

Images