Saline-alkali soil remediation system and method

Abstract

The invention discloses a saline-alkali soil remediation system and method, and relates to the technical field of saline-alkali soil remediation. The system comprises a soil sample collection and preliminary analysis module, a microbial community optimization design module, a microbial mixture preparation and putting module, a soil remediation process monitoring module and a soil remediation effect evaluation module. And the synergistic effect of the microflora under the target soil condition is ensured, so that the soil remediation efficiency and effect are remarkably improved. And through accurate microorganism proportion and concentration adjustment, the microorganism dosage in the remediation process is more scientific and reasonable, and resource waste is avoided, so that the total cost of soil remediation is reduced. Compared with a traditional chemical remediation method, the adopted microbial remediation method has the advantages that the negative influence on the environment is smaller, and the health and sustainability of a soil ecological system can be protected.

Description

Technical Field

[0001] The present invention relates to the technical field of saline-alkali land restoration, and in particular to a saline-alkali land restoration system and method. Background Art

[0002] The saline-alkali land remediation system is an important application in the field of environmental engineering and ecological restoration. Environmental engineering covers various solutions to environmental pollution and degradation, while ecological restoration focuses on restoring the function and health of natural ecosystems. In the specific practice of ecological restoration, saline-alkali land remediation is a key area aimed at solving the problem of soil degradation caused by salinization. The saline-alkali land remediation system pays special attention to restoring the productivity and ecological function of the soil through physical, chemical and biological means. Specifically, in the field of saline-alkali land remediation, microbial treatment technology, as a biological remediation method, uses specific microbial communities to improve the salinity and alkalinity of the soil and increase its fertility. It is one of the key technologies for achieving soil improvement and sustainable utilization.

[0003] Existing technologies also have deficiencies in microbial delivery strategies, which usually lack targeted optimization, resulting in unstable microbial effects in actual applications. Furthermore, the dynamic changes in the soil environment are not adequately monitored during the remediation process, making it difficult to adjust the microbial community and remediation strategies in a timely manner to cope with real-time changes.

[0004] The shortcomings of existing microbial treatment technologies mainly stem from the neglect of specific environmental characteristics of the soil and the singleness of microbial management strategies. In the process of saline-alkali land remediation, the temporal and spatial changes in soil salinity and alkalinity were not taken into account, resulting in the remediation effect being less than expected. In saline-alkali land, salt may show obvious spatial uneven distribution, and existing technologies often fail to customize the microbial community according to these characteristics. In this case, microorganisms cannot play their best role in the areas where they are most needed, and the remediation progress is slow or the effect is not significant. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a saline-alkali land restoration and system method. The present invention screens microorganisms with specific functions and optimizes their combination ratio, so that the dosage of microorganisms in the restoration process is more scientific and reasonable, effectively improving the efficiency and effect of soil restoration, avoiding waste of resources, and reducing the overall cost of soil restoration; and can enhance the self-repairing ability and ecological stability of the soil, ensuring that the restoration work is more efficient and targeted.

[0006] To achieve the above objectives, the present invention provides a saline-alkali land remediation system, including a soil sample collection and preliminary analysis module, a microbial community optimization design module, a microbial mixture preparation and delivery module, a soil remediation process monitoring module, a soil remediation effect evaluation module and a feedback and optimization adjustment module;

[0007] The soil sample collection and preliminary analysis module collects soil samples from different areas of the saline-alkali land to be restored, analyzes the salinity Na+, Cl-, pH value and CEC, conducts preliminary detection of the microbial community structure, and identifies the main microbial species in the samples;

[0008] The microbial community optimization design module uses a microbiological model to design a microbial mixture that optimizes the biodiversity of the saline-alkali soil to be restored based on the analysis results of the soil sample collection and preliminary analysis module; the microbial community included in the microbial mixture has the functions of decomposing organic matter, reducing salt, and adjusting pH value;

[0009] The microbial mixture preparation and delivery module prepares a microbial mixture that meets the design requirements according to the design results of the microbial community optimization design module, and evenly delivers the prepared microbial mixture to the saline-alkali land to be repaired by spraying and irrigation;

[0010] After the microbial mixture is added, the soil remediation process monitoring module regularly monitors the soil data of salinity and alkalinity changes and microbial community evolution in the soil, stores the monitored soil data, and transmits it to the soil remediation effect evaluation module to evaluate the remediation progress;

[0011] The soil remediation effect evaluation module receives the soil data transmitted by the soil remediation process monitoring module, and compares the soil data before and after remediation to evaluate the remediation effect and determine whether the expected goal has been achieved.

[0012] A further technical solution of the present invention: the repair system further includes a feedback and optimization adjustment module; the feedback and optimization adjustment module includes a repair effect feedback unit and a repair strategy optimization adjustment unit;

[0013] The remediation effect feedback unit collects and organizes the evaluation results of the soil remediation effect evaluation module to determine whether the expected goal is achieved; the judgment process is to first determine whether the achievement rate of the sodium ion concentration reduction target, the achievement rate of the chloride ion concentration reduction target, the achievement rate of the pH value adjustment target, the achievement rate of the organic matter content increase target and the achievement rate of the microbial diversity improvement target meet the designed target values, and at the same time, it is necessary to calculate whether the comprehensive achievement rate of the remediation meets the design requirements: the comprehensive achievement rate of the remediation is specifically calculated as follows:

[0014]

[0015] In the formula, the achievement rate Na , Achievement Rate Cl , Achievement Rate pH , Achievement Rate OM and achievement rate divThey represent the achievement rate of the sodium ion concentration reduction target, the chloride ion concentration reduction target, the pH value adjustment target, the organic matter content increase target, and the microbial diversity improvement target;

[0016] The restoration strategy optimization adjustment unit adjusts the combination ratio of the microbial community based on the results of the feedback unit, optimizes the types and quantities of microorganisms to enhance the restoration effect, and optimizes the method and time of microbial delivery according to the analysis results to ensure that the microorganisms can play a more effective role.

[0017] A further technical solution of the present invention is as follows: the soil sample collection and preliminary analysis module comprises a soil sample collection unit and a sample analysis and microbial detection unit;

[0018] The soil sample collection unit collects representative samples from different areas of the saline-alkali land to be restored, and integrates the collected samples into a set S containing all representative soil samples. sa In the sampling process, soil samples are collected at selected locations and depths using a soil drill. Specifically, the saline-alkali land to be restored is divided into n sub-areas, and each area is sampled according to its geographical location. The set S of all representative soil samples is calculated according to the following formula: sa :

[0019]

[0020] In the above formula: S sa It represents the set of all representative soil samples, including the sample sets of all sub-areas;

[0021] S i represents the set of soil samples at different depths in the ith sub-area among n sub-areas;

[0022] The sample analysis and microbial detection unit determines the soil sample set S integrated by the soil sample collection unit by chemical analysis method. sa Sodium ions in soil + Concentration and chloride ion Cl - concentration and calculate the salt index of the saline-alkali soil to be restored; measure the soil sample set S sa The pH value of the soil in the saline-alkali land to be restored was used to calculate the cation exchange capacity (CEC) of the soil; high-throughput sequencing technology was used to detect the soil sample set S sa The microbial community structure of the soil in the middle soil was calculated, the microbial diversity index of the saline-alkali land to be restored was calculated, and the main microbial species of the saline-alkali land to be restored were identified;

[0023] The calculation formula for the salt index of the saline-alkali soil to be restored is as follows:

[0024]

[0025] In the formula, Isa represents the soil salinity index, specifically the average value of sodium and chloride ion concentrations, which is used to measure the degree of soil salinity;

[0026] S Na Indicates the sodium ion concentration in the soil;

[0027] S Cl Indicates the chloride ion concentration in the soil;

[0028] The cation exchange capacity calculation formula of the saline-alkali soil to be repaired is:

[0029] Q CEC =CEC*PH soil ;

[0030] In the formula, Q CEC represents the corrected cation exchange capacity;

[0031] CEC stands for cation exchange capacity; pH soil Indicates soil pH;

[0032] The calculation formula of the microbial diversity index of the saline-alkali soil to be restored is:

[0033]

[0034] Where M div Represents the diversity index of the microbial community;

[0035] n j represents the number of individuals of the jth microorganism;

[0036] N represents the total number of all detected microorganisms.

[0037] A further technical solution of the present invention: the microbial community optimization design module includes a microbial function screening and evaluation unit and a microbial combination optimization and ratio calculation unit;

[0038] The microbial function screening and evaluation unit screens out microorganisms capable of decomposing organic matter, reducing soil salinity and adjusting pH value from the existing microbial library; the screening process is based on the salt index, cation exchange capacity and microbial diversity index of the saline-alkali soil to be restored obtained from the soil sample collection and preliminary analysis module analysis; through simulation experiments or existing experimental data, the effectiveness of each candidate microorganism under specific soil conditions is evaluated to determine their functional strength;

[0039] E i =ω o *F io +ω s *F i s +ω pH *F i pH ;

[0040] In the formula, E i represents the comprehensive efficacy index of the i-th microorganism,

[0041] ω o ,ω s and ω pH They represent the weights of organic matter decomposition, salt reduction, and pH adjustment capabilities, respectively, and are set according to the priority of soil remediation;

[0042] F i o 、F i s and F i pH They represent the organic matter decomposition ability of the ith microorganism, the salt reduction ability of the ith microorganism, and the pH adjustment ability of the ith microorganism, respectively;

[0043] The microbial combination optimization and proportion calculation unit determines the best microbial combination through an optimization algorithm based on the results of the microbial function screening and evaluation unit, so that it can achieve the best effect under the target soil conditions, and calculates the best proportion of each microorganism in the mixture to ensure the synergistic effect of different microorganisms and maximize the restoration efficiency;

[0044] The proportion of each microorganism χ is determined by a multi-objective optimization algorithm. i , so that the following objective function is maximized:

[0045]

[0046] Where MaxO represents the multi-objective optimization algorithm; i represents the proportion of the i-th microorganism in the combination;

[0047] The sum of the proportions of each microorganism in the combination is 100%.

[0048] A further technical solution of the present invention is as follows: the microbial mixture preparation and delivery module comprises a microbial mixture preparation unit and a microbial mixture delivery unit;

[0049] The microbial mixture preparation unit accurately weighs and mixes each microbial strain according to the ratio of each microorganism given by the microbial community optimization design module to prepare a microbial mixture that meets the requirements of the target soil; and adjusts the total concentration C of the microbial mixture. to, to ensure that the expected restoration effect can be achieved after release; the total concentration of the microbial mixture C to Obtained by the following formula:

[0050]

[0051] In the formula, χ i represents the proportion of the i-th microorganism in the microbial mixture;

[0052] C i represents the initial concentration of the i-th microorganism;

[0053] The microbial mixture delivery unit delivers the microbial mixture uniformly to the saline-alkali land to be repaired by spraying and irrigation according to the geographical conditions and soil characteristics of the saline-alkali land to be repaired; uses precise delivery equipment to evenly distribute the microbial mixture in a designated area according to the calculated total delivery amount of the microbial mixture; the total delivery amount of the microbial mixture V to The calculation formula is:

[0054] V to =D app *A la ;

[0055] Where D app It indicates the placement density, specifically the volume of microbial mixture that needs to be placed per unit area;

[0056] A la Indicates the total area of ​​the delivery zone.

[0057] A further technical solution of the present invention is as follows: the soil remediation process monitoring module includes a soil salinity and alkalinity change monitoring unit and a microbial community evolution monitoring unit;

[0058] The soil salinity change monitoring unit regularly collects soil samples of the saline-alkali land to be restored, and analyzes the sodium ions Na in the soil at different restoration times of the saline-alkali land to be restored. + and chloride ion Cl - Concentration is used to evaluate the change of soil salt concentration during the restoration process of the saline-alkali land to be restored; the pH value of the saline-alkali land to be restored at different restoration times is measured to monitor the regulating effect of the microorganisms on the alkalinity of the saline-alkali land to be restored after release; the calculation formula for the change of soil salt during the restoration process of the saline-alkali land to be restored is as follows:

[0059]

[0060] In the formula, ΔS sal (t) represents the change in soil salinity at restoration time t;

[0061] S Na(0) and S Cl (0) represents the soil Na before adding microbial mixture + and Cl - The initial concentration of

[0062] S Na (t) represents the sodium ion concentration in the soil at the restoration time point t;

[0063] S Cl (t) represents the soil chloride concentration at restoration time point t;

[0064] The calculation formula for the change of soil pH value during the restoration of the saline-alkali land to be restored is:

[0065] ΔpH(t)=pH soil (t)-pH soil (0);

[0066] Where: ΔpH(t) represents the change in soil pH at restoration time t;

[0067] pH soil (0) represents the initial pH value of the soil before the microbial mixture was added;

[0068] pH soil (t) represents the pH value of the soil at the restoration time point t;

[0069] The microbial community evolution monitoring unit regularly collects soil samples from the saline-alkali land to be restored, analyzes the structural changes of the microbial community in the saline-alkali land to be restored by the fluorescent quantitative PCR method, and evaluates the relative abundance of different microbial populations during the saline-alkali land restoration process; determines the activity indicators of key microorganisms and evaluates their performance during the restoration process; the formula for the change of relative abundance of microorganisms during the saline-alkali land restoration process is:

[0070]

[0071] In the formula, ΔR i (t) represents the percentage change in relative abundance of the i-th microorganism at restoration time t;

[0072] R i (t) represents the relative abundance of the i-th microorganism at the restoration time point t;

[0073] R i (0) represents the initial relative abundance of the i-th microorganism before the microbial mixture is added;

[0074] The formula for the change of microbial activity during the saline-alkali land restoration process is:

[0075] ΔA i (t) = Ai (t)-A i (0);

[0076] In the formula, ΔA i (t) represents the change in activity of the i-th microorganism at restoration time t;

[0077] A i (t) represents the activity of the i-th microorganism at the restoration time point t;

[0078] A i (0) represents the initial activity of the i-th microorganism before adding the microbial mixture.

[0079] A preferred technical solution of the present invention: the soil remediation effect evaluation module includes a soil data comparison unit before and after remediation and a remediation target achievement evaluation unit;

[0080] The soil data comparison unit before and after restoration collects and organizes the soil data before and after restoration of the saline-alkali land to be restored transmitted by the soil restoration process monitoring module and transmits the comparison results to the restoration target achievement assessment unit, wherein the soil data includes key indicators of salt concentration, pH value, organic matter content and microbial diversity;

[0081] The restoration target achievement assessment unit determines specific assessment criteria based on the goals set at the initial stage of restoration, including the target value for salt reduction, pH adjustment range and requirements for improving microbial diversity; uses the results of the soil data comparison unit before and after restoration to assess whether each restoration indicator has achieved the expected goal and gives a comprehensive evaluation.

[0082] The present invention also provides a saline-alkali land restoration method, which uses the saline-alkali land restoration system to repair the saline-alkali land to be repaired, and specifically comprises the following steps:

[0083] S1: Soil samples are collected from different areas of saline-alkali land through the soil sample collection and preliminary analysis module, and the sodium ion Na in the soil samples of the saline-alkali land to be repaired is analyzed. + Concentration and chloride ion Cl - The concentration was measured and the salt index of the saline-alkali soil to be restored was calculated; the pH value of the saline-alkali soil samples to be restored was measured to calculate the cation exchange capacity (CEC) of the saline-alkali soil to be restored; high-throughput sequencing technology was used to detect the microbial community structure of the saline-alkali soil samples to be restored, the microbial diversity index of the saline-alkali soil to be restored was calculated, and the main microbial species of the saline-alkali soil to be restored were identified;

[0084] S2. Using the microbial community optimization design module, based on the analysis results of the soil sample collection and preliminary analysis module, screen out microorganisms capable of decomposing organic matter, reducing soil salinity and regulating pH from the existing microbial library, and determine a specific microbial mixture combination through an optimization algorithm;

[0085] S3. using the microbial mixture preparation and delivery module to prepare a suitable microbial mixture according to the results of the microbial community optimization design module, and evenly delivering the microbial mixture to the saline-alkali land by spraying and irrigation;

[0086] S4. After the microbial mixture is added, the soil salinity and alkalinity changes and the evolution of the microbial community in the soil are regularly monitored through the soil remediation process monitoring module to evaluate the remediation progress;

[0087] S5. Use the soil remediation effect evaluation module to compare the soil data before and after the restoration of the saline-alkali land to evaluate the restoration effect.

[0088] A further technical solution of the present invention is as follows: judging whether the expected goal is achieved according to the evaluation result of the soil remediation effect evaluation module; if the remediation effect does not meet the expected goal, adjusting the combination ratio of the microbial community, optimizing the types and quantities of microorganisms, and repeating steps S1 to S5 to perform remediation again; if the remediation effect meets the expected goal, summarizing the experience and optimizing future remediation strategies; the expected remediation goals include a sodium ion concentration reduction goal, a chloride ion concentration reduction goal, a pH value adjustment goal, an organic matter content increase goal, and a microbial diversity enhancement goal.

[0089] A further technical solution of the present invention is as follows: based on the salt index, cation exchange capacity and microbial diversity index of the saline-alkali soil to be restored calculated in step S1, microorganisms capable of decomposing organic matter, reducing soil salinity and adjusting pH are screened from the existing microbial library, and the effectiveness of each candidate microorganism under specific soil conditions is evaluated through simulation experiments or existing experimental data to determine their functional strength;

[0090] E i =ω o *F i o +ω s *F i s +ω pH *F i pH ;

[0091] In the formula, E i represents the comprehensive efficacy index of the i-th microorganism,

[0092] ω o ,ω sand ω pH They represent the weights of organic matter decomposition, salt reduction, and pH adjustment capabilities, respectively, and are set according to the priority of soil remediation;

[0093] F i o 、F i s and F i pH They represent the organic matter decomposition ability of the ith microorganism, the salt reduction ability of the ith microorganism, and the pH adjustment ability of the ith microorganism, respectively;

[0094] Then, the optimal microbial combination is determined through the optimization algorithm to achieve the best effect under the target soil conditions, and the optimal proportion of each microorganism in the mixture is calculated to ensure the synergistic effect of different microorganisms and maximize the remediation efficiency; the proportion of each microorganism is determined through the multi-objective optimization algorithm. i , so that the following objective function is maximized:

[0095]

[0096] Where MaxO represents the multi-objective optimization algorithm; i represents the proportion of the i-th microorganism in the combination;

[0097] The sum of the proportions of each microorganism in the combination is 100%.

[0098] The present invention has the following beneficial effects:

[0099] (1) The present invention divides the sampling area into multiple sub-areas and performs sampling according to geographical locations, thereby ensuring that the collected soil samples are highly representative, thereby improving the accuracy of subsequent analysis results.

[0100] (2) The present invention can comprehensively understand the degree of soil salinization and soil fertility by determining the concentrations of sodium ions Na+ and chloride ions Cl- in soil samples, measuring the pH value of the soil, and evaluating the cation exchange capacity (CEC) of the soil, thereby providing a scientific basis for soil remediation. By using high-throughput sequencing technology, the microbial community structure in the soil can be detected and the main microbial species can be identified, thereby evaluating the soil biodiversity and its contribution to soil health and fertility.

[0101] (3) The present invention uses simulation experiments and evaluation of existing experimental data to screen out a microbial combination that can adapt to different soil conditions. By screening microorganisms with specific functions and optimizing their combination ratio, the synergistic effect of the microbial community under the target soil conditions is ensured, thereby significantly improving the efficiency and effect of soil remediation, making the remediation scheme have a wider range of applications.

[0102] (4) The present invention improves soil fertility and provides better nutritional conditions for plant growth by optimizing the microbial community structure and enhancing the decomposition and conversion capabilities of soil organic matter. The specific microbial mixture can effectively decompose the salt in the soil, especially sodium ions and chloride ions, thereby reducing the salinity of the soil and improving the soil environment. Through the action of microorganisms, the pH of the soil can be adjusted to be closer to neutral, which is beneficial to the growth of plants and the survival of other microorganisms in the soil. The microbial community structure is optimized, the types and quantities of microorganisms in the soil are increased, and the microbial diversity is improved, thereby enhancing the self-repairing ability and ecological stability of the soil.

[0103] (5) The present invention makes the amount of microorganisms used in the remediation process more scientific and reasonable through precise adjustment of the microbial ratio and concentration, thus avoiding waste of resources and reducing the overall cost of soil remediation; the adopted microbial remediation method has less negative impact on the environment than the traditional chemical remediation method, and helps to protect the health and sustainability of the soil ecosystem; the design of the microbial mixture preparation and delivery module makes the entire remediation process more standardized and automated, reduces the requirements for the professional skills of the operators, and facilitates large-scale promotion and application.

[0104] (6) The present invention monitors the soil remediation process and timely adjusts the composition and delivery strategy of the microbial community to ensure that the remediation work is more efficient and targeted.

[0105] The present invention provides a scientific, efficient and environmentally friendly method for saline-alkali land restoration, which adopts microbial restoration technology, avoids the environmental pollution problems that may be caused by chemical restoration, and is an environmentally friendly soil restoration method; by improving soil fertility and improving the soil environment, the yield and quality of crops can be increased, thereby improving the economic benefits of agricultural production. The present invention not only solves the problem of saline-alkali land and effectively improves the soil environment, but also focuses on ecological balance and sustainable development, promotes sustainable agricultural development, and provides scientific basis and practical experience for future soil restoration work, and has important practical application value and broad development prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0106] Figure 1 A schematic diagram of a block diagram of a saline-alkali land restoration system of the present invention;

[0107] Figure 2 The present invention is a schematic diagram of the steps of a saline-alkali land restoration method. DETAILED DESCRIPTION

[0108] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0109] Example 1 provides a saline-alkali land restoration system. Figure 1 , including soil sample collection and preliminary analysis module, microbial community optimization design module, microbial mixture preparation and delivery module, soil remediation process monitoring module, soil remediation effect evaluation module and feedback and optimization adjustment module;

[0110] The soil sample collection and preliminary analysis module collects soil samples from different areas of saline-alkali land and analyzes their salinity Na + , Cl - , pH value and CEC, conduct preliminary detection of microbial community structure, and identify the main microbial species in the sample; the microbial community optimization design module uses the microbiological model to design a specific microbial mixture based on the analysis results of the soil sample collection and preliminary analysis module to optimize the biodiversity of the soil. The microbial community should have the functions of decomposing organic matter, reducing salt, and adjusting pH value;

[0111] The microbial mixture preparation and delivery module prepares a suitable microbial mixture according to the results of the microbial community optimization design module, and evenly delivers the microbial mixture to the saline-alkali land by spraying and irrigation methods;

[0112] The soil remediation process monitoring module regularly monitors the salinity and alkalinity changes in the soil and the evolution of the microbial community after the microbial mixture is added to evaluate the remediation progress;

[0113] The soil remediation effect evaluation module evaluates the remediation effect by comparing the soil data before and after remediation to determine whether the expected goal has been achieved;

[0114] The feedback and optimization adjustment module adjusts the composition and release strategy of the microbial community according to the results of the soil remediation effect evaluation module, and repeats the above process if the remediation effect does not meet expectations; if it meets expectations, it summarizes the experience and optimizes future remediation strategies.

[0115] In the present embodiment, through the optimization design and placement of microbial communities, the salt content in the soil is effectively reduced, the soil structure is improved, and the fertility and water retention capacity of the soil are enhanced. Promote ecological balance, by introducing and optimizing microbial communities, help to restore and enhance the natural ecological functions of the soil, improve biodiversity, and provide a good environment for plant growth. Traditional saline-alkali land improvement methods often rely on chemical modifiers, and the present invention reduces the use of environmentally harmful chemicals and reduces the risk of soil and groundwater pollution through microbial remediation technology. The economic benefits are significant. Compared with traditional physical and chemical improvement methods, microbial remediation technology has the advantages of low cost, easy operation, strong sustainability, etc., and can bring long-term economic benefits to farmers and land managers. The saline-alkali land remediation system of the present invention can be adjusted according to different soil types and environmental conditions, has strong adaptability and flexibility, and is suitable for saline-alkali land remediation in different regions.

[0116] The soil sample collection and preliminary analysis module in Example 1 includes a soil sample collection unit and a sample analysis and microbial detection unit;

[0117] The soil sample collection unit collects representative samples from different areas of the saline-alkali land to be restored, and integrates the collected samples into a set S containing all representative soil samples. sa In the sampling process, soil samples are collected at selected locations and depths using a soil drill. Specifically, the saline-alkali land to be restored is divided into n sub-areas, and each area is sampled according to its geographical location. The set S of all representative soil samples is calculated according to the following formula: sa :

[0118]

[0119] In the above formula: S sa It represents the set of all representative soil samples, including the sample sets of all sub-areas;

[0120] S i represents the set of soil samples at different depths in the ith sub-area among n sub-areas;

[0121] The sample analysis and microbial detection unit determines the soil sample set S integrated by the soil sample collection unit by chemical analysis method. sa Sodium ions in soil + Concentration and chloride ion Cl - concentration and calculate the salt index of the saline-alkali soil to be restored; measure the soil sample set S sa The pH value of the soil in the saline-alkali land to be restored was used to calculate the cation exchange capacity (CEC) of the soil; high-throughput sequencing technology was used to detect the soil sample set S saThe microbial community structure of the soil in the middle soil was calculated, the microbial diversity index of the saline-alkali land to be restored was calculated, and the main microbial species of the saline-alkali land to be restored were identified;

[0122] The calculation formula for the salt index of the saline-alkali soil to be restored is as follows:

[0123]

[0124] In the formula, Isa represents the soil salinity index, specifically the average value of sodium and chloride ion concentrations, which is used to measure the degree of soil salinity;

[0125] S Na Indicates the sodium ion concentration in the soil;

[0126] S Cl Indicates the chloride ion concentration in the soil;

[0127] The cation exchange capacity calculation formula of the saline-alkali soil to be repaired is:

[0128] Q CEC =CEC*PH soil ;

[0129] In the formula, Q CEC represents the corrected cation exchange capacity;

[0130] CEC stands for cation exchange capacity; pH soil Indicates soil pH;

[0131] The calculation formula of the microbial diversity index of the saline-alkali soil to be restored is:

[0132]

[0133] Where M div Represents the diversity index of the microbial community;

[0134] n j represents the number of individuals of the jth microorganism;

[0135] N represents the total number of all detected microorganisms.

[0136] In this embodiment, by dividing the sampling area into multiple sub-areas and sampling according to the geographical location, it can be ensured that the collected soil samples are highly representative, thereby improving the accuracy of subsequent analysis results. By measuring the concentrations of sodium ions Na+ and chloride ions Cl- in soil samples, measuring the pH value of the soil, and evaluating the cation exchange capacity (CEC) of the soil, the degree of soil salinization and soil fertility can be fully understood, providing a scientific basis for soil remediation. Using high-throughput sequencing technology, the microbial community structure in the soil can be detected, and the main microbial species can be identified, thereby evaluating the biodiversity of the soil and its contribution to soil health and fertility. The soil sample collection and preliminary analysis module provided in this embodiment can comprehensively and accurately evaluate the physical and chemical properties and microbial community structure of saline-alkali soil, provide a scientific basis for soil remediation and improvement, thereby improving soil quality and promoting sustainable agricultural development.

[0137] The microbial community optimization design module in Example 1 includes a microbial function screening and evaluation unit and a microbial combination optimization and ratio calculation unit; the microbial function screening and evaluation unit screens out microorganisms capable of decomposing organic matter, reducing soil salinity and adjusting pH value from an existing microbial library; the screening process is based on the salt index, cation exchange capacity and microbial diversity index of the saline-alkali soil to be restored obtained from the soil sample collection and preliminary analysis module analysis; through simulation experiments or existing experimental data, the effectiveness of each candidate microorganism under specific soil conditions is evaluated to determine their functional strength;

[0138] E i =ω o *F i o +ω s *F i s +ω pH *F i pH ;

[0139] In the formula, E i represents the comprehensive efficacy index of the i-th microorganism;

[0140] ω o ,ω s and ω pH They represent the weights of organic matter decomposition, salt reduction, and pH adjustment capabilities, respectively, and are set according to the priority of soil remediation;

[0141] F i o 、F i s and F i pHThey represent the organic matter decomposition ability of the ith microorganism, the salt reduction ability of the ith microorganism, and the pH adjustment ability of the ith microorganism, respectively;

[0142] The microbial combination optimization and proportion calculation unit determines the best microbial combination through an optimization algorithm based on the results of the microbial function screening and evaluation unit, so that it can achieve the best effect under the target soil conditions, and calculates the best proportion of each microorganism in the mixture to ensure the synergistic effect of different microorganisms and maximize the restoration efficiency;

[0143] The proportion of each microorganism χ is determined by a multi-objective optimization algorithm. i , so that the following objective function is maximized:

[0144]

[0145] In the formula, MaxO represents the multi-objective optimization algorithm, χ i represents the proportion of the i-th microorganism in the combination, The sum of the proportions of each microorganism in the combination is 100%.

[0146] The microbial mixture preparation and delivery module includes a microbial mixture preparation unit and a microbial mixture delivery unit; the microbial mixture preparation unit is based on the microbial proportion x given by the microbial community optimization design module. i , accurately weigh and mix each microbial strain to prepare a microbial mixture that meets the requirements of the target soil; adjust the total concentration of the mixture C to , to ensure that the expected restoration effect can be achieved after placement. Concentration adjustment needs to take into account soil conditions, area and microbial activity;

[0147] The total concentration of the mixture C to Obtained by the following formula:

[0148]

[0149] In the formula, χ i represents the proportion of the i-th microorganism in the combination, C i represents the initial concentration of the i-th microorganism;

[0150] The microbial mixture delivery unit delivers the microbial mixture uniformly to the saline-alkali land to be repaired by spraying and irrigation according to the geographical conditions and soil characteristics of the saline-alkali land to be repaired; uses precise delivery equipment to evenly distribute the microbial mixture in a designated area according to the calculated total delivery amount of the microbial mixture; the total delivery amount of the microbial mixture V to The calculation formula is:

[0151] V to =Dapp *A la ;

[0152] Where D app Indicates the placement density, specifically the volume of microbial mixture required to be placed per unit area, A la Indicates the total area of ​​the delivery zone.

[0153] In this embodiment, by screening microorganisms with specific functions and optimizing their combination ratio, the synergistic effect of the microbial community under the target soil conditions is ensured, thereby significantly improving the efficiency and effect of soil remediation. Accurate microbial ratio and concentration adjustment make the amount of microorganisms used in the remediation process more scientific and reasonable, avoid waste of resources, and thus reduce the overall cost of soil remediation. Compared with traditional chemical remediation methods, the adopted microbial remediation method has less negative impact on the environment and helps to protect the health and sustainability of the soil ecosystem. Through simulation experiments and evaluation of existing experimental data, the screened microbial combination can adapt to different soil conditions, making the remediation scheme have a wider range of applications. The design of the microbial mixture preparation and delivery module makes the entire remediation process more standardized and automated, reduces the requirements for the professional skills of operators, and facilitates large-scale promotion and application.

[0154] The soil remediation process monitoring module described in Example 1 includes a soil salinity and alkalinity change monitoring unit and a microbial community evolution monitoring unit;

[0155] The soil salinity change monitoring unit regularly collects soil samples of the saline-alkali land to be restored, and analyzes the sodium ions Na in the soil at different restoration times of the saline-alkali land to be restored. + and chloride ion Cl - Concentration is used to evaluate the change of soil salt concentration during the restoration process of the saline-alkali land to be restored; the pH value of the saline-alkali land to be restored at different restoration times is measured to monitor the regulating effect of the microorganisms on the alkalinity of the saline-alkali land to be restored after release; the calculation formula for the change of soil salt during the restoration process of the saline-alkali land to be restored is as follows:

[0156]

[0157] In the formula, ΔS sal (t) represents the change in soil salinity at restoration time t;

[0158] S Na (0) and S Cl (0) represents the soil Na before adding microbial mixture + and Cl - The initial concentration of

[0159] S Na(t) represents the sodium ion concentration in the soil at the restoration time point t;

[0160] S Cl (t) represents the soil chloride concentration at restoration time point t;

[0161] The calculation formula for the change of soil pH value during the restoration of the saline-alkali land to be restored is:

[0162] ΔpH(t)=pH soil (t)-pH soil (0);

[0163] Where: ΔpH(t) represents the change in soil pH at restoration time t;

[0164] pH soil (0) represents the initial pH value of the soil before the microbial mixture was added;

[0165] pH soil (t) represents the pH value of the soil at the restoration time point t;

[0166] The microbial community evolution monitoring unit regularly collects soil samples from the saline-alkali land to be restored, analyzes the structural changes of the microbial community in the saline-alkali land to be restored by the fluorescent quantitative PCR method, and evaluates the relative abundance of different microbial populations during the saline-alkali land restoration process; determines the activity indicators of key microorganisms and evaluates their performance during the restoration process; the formula for the change of relative abundance of microorganisms during the saline-alkali land restoration process is:

[0167]

[0168] In the formula, ΔR i (t) represents the percentage change in relative abundance of the i-th microorganism at restoration time t;

[0169] R i (t) represents the relative abundance of the i-th microorganism at the restoration time point t;

[0170] R i (0) represents the initial relative abundance of the i-th microorganism before the microbial mixture is added;

[0171] The formula for the change of microbial activity during the saline-alkali land restoration process is:

[0172] ΔA i (t) = A i (t)-A i (0);

[0173] In the formula, ΔA i (t) represents the change in activity of the i-th microorganism at restoration time t;

[0174] A i (t) represents the activity of the i-th microorganism at the restoration time point t;

[0175] A i (0) represents the initial activity of the i-th microorganism before adding the microbial mixture.

[0176] The soil data comparison unit before and after restoration collects and organizes the soil data of the saline-alkali land to be restored calculated by the soil salinity change monitoring unit and the microbial community evolution monitoring unit before and after restoration, and transmits the comparison results to the restoration target achievement assessment unit, wherein the soil data include salt concentration, pH value, organic matter content and key indicators of microbial diversity;

[0177] The restoration target achievement assessment unit determines specific assessment criteria based on the goals set at the initial stage of restoration, including the target value for salt reduction, pH adjustment range and requirements for improving microbial diversity; uses the results of the soil data comparison unit before and after restoration to assess whether each restoration indicator has achieved the expected goal, and gives a comprehensive evaluation. The soil restoration effect assessment module can also provide real-time feedback during the restoration process so that the restoration strategy can be adjusted in a timely manner.

[0178] In this embodiment, through the above method and calculation formula, the soil remediation effect evaluation module can provide a comprehensive remediation effect analysis. The remediation target achievement evaluation unit comprehensively evaluates the remediation effect based on the changes in various indicators, combined with soil remediation standards and goals. Specifically, the unit will set a threshold value. When the change in each indicator reaches or exceeds the threshold value, it can be considered that the remediation goal has been achieved.

[0179] In addition, the soil remediation effect evaluation module can also provide real-time feedback during the remediation process so that the remediation strategy can be adjusted in time. For example, if it is found that the activity of a certain microorganism has not increased significantly during the remediation process, or the changes in certain key indicators are not ideal, the remediation team can take corresponding measures, such as adjusting the proportion of nutrients, changing the type of remediation agent, or increasing the remediation time. Through real-time monitoring and evaluation, problems in the remediation process can be quickly identified and the remediation plan can be adjusted in time, thereby improving the overall remediation efficiency. By precisely controlling the remediation process, excessive use of remediation materials and waste of resources are avoided, thereby reducing the remediation cost.

[0180] Scientific assessment methods are used to ensure that the impact of the restoration process on the environment is minimized and meets the requirements of sustainable development. The detailed data and analysis results provided by the restoration effect evaluation module provide strong support for decision makers and help formulate more scientific and reasonable soil restoration policies and measures.

[0181] The restoration target achievement assessment unit in Example 1 determines specific assessment criteria based on the goals set at the initial stage of restoration, including the target value of salt reduction, pH adjustment range and microbial diversity improvement requirements; uses the results of the soil data comparison unit before and after restoration to assess whether each restoration indicator has reached the expected goal and gives a comprehensive evaluation. The feedback and optimization adjustment module includes a restoration effect feedback unit and a restoration strategy optimization adjustment unit.

[0182] The remediation effect feedback unit collects and organizes the evaluation results of the soil remediation effect evaluation module to determine whether the expected goal is achieved; the judgment process is to first determine whether the achievement rate of the sodium ion concentration reduction target, the achievement rate of the chloride ion concentration reduction target, the achievement rate of the pH value adjustment target, the achievement rate of the organic matter content increase target and the achievement rate of the microbial diversity improvement target meet the designed target values, and at the same time, it is necessary to calculate whether the comprehensive achievement rate of the remediation meets the design requirements: the comprehensive achievement rate of the remediation is specifically calculated as follows:

[0183]

[0184] In the formula, the achievement rate Na , Achievement Rate Cl , Achievement Rate pH , Achievement Rate OM and achievement rate div They respectively represent the achievement rate of the sodium ion concentration reduction target, the achievement rate of the chloride ion concentration reduction target, the achievement rate of the pH value adjustment target, the achievement rate of the organic matter content increase target and the achievement rate of the microbial diversity enhancement target.

[0185] The restoration strategy optimization adjustment unit adjusts the combination ratio of the microbial community based on the results of the feedback unit, optimizes the types and quantities of microorganisms to enhance the restoration effect, and optimizes the method and time of microbial delivery according to the analysis results to ensure that the microorganisms can play a more effective role.

[0186] Example 2 provides a method for repairing saline-alkali land. Figure 2 , specifically including the following steps:

[0187] S1: Soil samples are collected from different areas of saline-alkali land through the soil sample collection and preliminary analysis module, and the sodium ion Na in the soil samples of the saline-alkali land to be repaired is analyzed. + Concentration and chloride ion Cl -The concentration was measured and the salt index of the saline-alkali soil to be restored was calculated; the pH value of the saline-alkali soil samples to be restored was measured to calculate the cation exchange capacity (CEC) of the saline-alkali soil to be restored; high-throughput sequencing technology was used to detect the microbial community structure of the saline-alkali soil samples to be restored, the microbial diversity index of the saline-alkali soil to be restored was calculated, and the main microbial species of the saline-alkali soil to be restored were identified;

[0188] S2. Using the microbial community optimization design module, based on the analysis results of the soil sample collection and preliminary analysis module, screen out microorganisms capable of decomposing organic matter, reducing soil salinity and regulating pH from the existing microbial library, and determine a specific microbial mixture combination through an optimization algorithm;

[0189] S3. using the microbial mixture preparation and delivery module to prepare a suitable microbial mixture according to the results of the microbial community optimization design module, and evenly delivering the microbial mixture to the saline-alkali land by spraying and irrigation;

[0190] S4. After the microbial mixture is added, the soil salinity and alkalinity changes and the evolution of the microbial community in the soil are regularly monitored through the soil remediation process monitoring module to evaluate the remediation progress;

[0191] S5. Use the soil remediation effect evaluation module to compare the soil data before and after the restoration of the saline-alkali land to be restored and evaluate the restoration effect;

[0192] S6. According to the evaluation results of the soil remediation effect evaluation module, determine whether the expected goals have been achieved; if the remediation effect has not met the expected goals, adjust the combination ratio of the microbial community, optimize the types and quantities of microorganisms, and repeat steps S1 to S5 to perform remediation again; if the remediation effect meets the expected goals, summarize the experience and optimize future remediation strategies; the expected remediation goals include sodium ion concentration reduction goals, chloride ion concentration reduction goals, pH value adjustment goals, organic matter content increase goals and microbial diversity improvement goals.

[0193] The present invention significantly reduces the salinity and alkalinity in the soil by precisely designing and adjusting the microbial community, thereby improving the soil structure and fertility. The optimized microbial community enhances the ecosystem function of the soil and promotes the decomposition of organic matter and nutrient circulation.

[0194] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A saline-alkali land restoration system, characterized in that: It includes soil sample collection and preliminary analysis module, microbial community optimization design module, microbial mixture preparation and delivery module, soil remediation process monitoring module, soil remediation effect evaluation module and feedback and optimization adjustment module; The soil sample collection and preliminary analysis module collects soil samples from different areas of the saline-alkali land to be restored, analyzes the salinity Na+, Cl-, pH value and CEC, conducts preliminary detection of the microbial community structure, and identifies the main microbial species in the samples; The microbial community optimization design module uses a microbiological model to design a microbial mixture that optimizes the biodiversity of the saline-alkali soil to be restored based on the analysis results of the soil sample collection and preliminary analysis module; the microbial community included in the microbial mixture has the functions of decomposing organic matter, reducing salt, and adjusting pH value; The microbial mixture preparation and delivery module prepares a microbial mixture that meets the design requirements according to the design results of the microbial community optimization design module, and evenly delivers the prepared microbial mixture to the saline-alkali land to be repaired by spraying and irrigation; After the microbial mixture is added, the soil remediation process monitoring module regularly monitors the soil data of salinity, alkalinity changes and microbial community evolution in the soil, stores the monitored soil data, and transmits it to the soil remediation effect evaluation module to evaluate the remediation progress; The soil remediation effect evaluation module receives the soil data transmitted by the soil remediation process monitoring module, and compares the soil data before and after remediation to evaluate the remediation effect and determine whether the expected goal has been achieved.

2. A saline-alkali land remediation system according to claim 1, characterized in that: The repair system also includes a feedback and optimization adjustment module; the feedback and optimization adjustment module includes a repair effect feedback unit and a repair strategy optimization adjustment unit; The remediation effect feedback unit collects and organizes the evaluation results of the soil remediation effect evaluation module to determine whether the expected goal has been achieved; The judgment process is that first, it is necessary to determine whether the achievement rate of the sodium ion concentration reduction target, the chloride ion concentration reduction target, the pH value adjustment target, the organic matter content increase target and the microbial diversity improvement target meet the designed target values, and at the same time, it is necessary to calculate whether the comprehensive achievement rate of the restoration meets the design requirements: the comprehensive achievement rate of the restoration is specifically calculated as follows: In the formula, the achievement rate Na , Achievement Rate Cl , Achievement Rate pH , Achievement Rate OM and achievement rate div They represent the achievement rate of the sodium ion concentration reduction target, the chloride ion concentration reduction target, the pH value adjustment target, the organic matter content increase target, and the microbial diversity improvement target; The restoration strategy optimization adjustment unit adjusts the combination ratio of the microbial community based on the results of the feedback unit, optimizes the types and quantities of microorganisms to enhance the restoration effect, and optimizes the method and time of microbial delivery according to the analysis results to ensure that the microorganisms can play a more effective role.

3. A saline-alkali land remediation system according to claim 1 or 2, characterized in that: The soil sample collection and preliminary analysis module includes a soil sample collection unit and a sample analysis and microbial detection unit; The soil sample collection unit collects representative samples from different areas of the saline-alkali land to be restored, and integrates the collected samples into a set S containing all representative soil samples. sa ,The sampling process uses a soil borer to collect soil samples at selected locations and depths; Specifically, the saline-alkali land to be restored is divided into n sub-areas, and samples are taken from each area according to the geographical location. The set S of all representative soil samples is calculated according to the following formula: sa : In the above formula: S sa It represents the set of all representative soil samples, including the sample sets of all sub-areas; S i represents the set of soil samples at different depths in the ith sub-area among n sub-areas; The sample analysis and microbial detection unit determines the soil sample set S integrated by the soil sample collection unit by chemical analysis method. sa Sodium ions in soil + Concentration and chloride ion Cl - concentration and calculate the salt index of the saline-alkali soil to be restored; measure the soil sample set S sa The pH value of the soil in the saline-alkali land to be restored was used to calculate the cation exchange capacity (CEC) of the soil; high-throughput sequencing technology was used to detect the soil sample set S sa The microbial community structure of the soil in the middle soil was calculated, the microbial diversity index of the saline-alkali land to be restored was calculated, and the main microbial species of the saline-alkali land to be restored were identified; The calculation formula for the salt index of the saline-alkali soil to be restored is as follows: In the formula, Isa represents the soil salinity index, specifically the average value of sodium and chloride ion concentrations, which is used to measure the degree of soil salinity; S Na Indicates the sodium ion concentration in the soil; S Cl Indicates the chloride ion concentration in the soil; The cation exchange capacity calculation formula of the saline-alkali soil to be repaired is: Q CEC =CEC*PH soil ; In the formula, Q CEC represents the corrected cation exchange capacity; CEC stands for cation exchange capacity; pH soil Indicates soil pH; The calculation formula of the microbial diversity index of the saline-alkali soil to be restored is: Where M div Represents the diversity index of the microbial community; n j represents the number of individuals of the jth microorganism; N represents the total number of all detected microorganisms.

4. A saline-alkali land remediation system according to claim 1 or 2, characterized in that: The microbial community optimization design module includes a microbial function screening and evaluation unit and a microbial combination optimization and ratio calculation unit; The microbial function screening and evaluation unit screens out microorganisms capable of decomposing organic matter, reducing soil salinity and adjusting pH value from the existing microbial library; the screening process is based on the salt index, cation exchange capacity and microbial diversity index of the saline-alkali soil to be restored obtained from the soil sample collection and preliminary analysis module analysis; through simulation experiments or existing experimental data, the effectiveness of each candidate microorganism under specific soil conditions is evaluated to determine their functional strength; In the formula, E i represents the comprehensive efficacy index of the i-th microorganism, ω o ,ω s and ω pH They represent the weights of organic matter decomposition, salt reduction, and pH adjustment capabilities, respectively, and are set according to the priority of soil remediation; and They represent the organic matter decomposition ability of the ith microorganism, the salt reduction ability of the ith microorganism, and the pH adjustment ability of the ith microorganism, respectively; The microbial combination optimization and proportion calculation unit determines the best microbial combination through an optimization algorithm based on the results of the microbial function screening and evaluation unit, so that it can achieve the best effect under the target soil conditions, and calculates the best proportion of each microorganism in the mixture to ensure the synergistic effect of different microorganisms and maximize the restoration efficiency; The proportion of each microorganism χ is determined by a multi-objective optimization algorithm. i , so that the following objective function is maximized: Where MaxO represents the multi-objective optimization algorithm; i represents the proportion of the i-th microorganism in the combination; The sum of the proportions of each microorganism in the combination is 100%.

5. A saline-alkali land remediation system according to claim 1 or 2, characterized in that: The microbial mixture preparation and delivery module includes a microbial mixture preparation unit and a microbial mixture delivery unit; The microbial mixture preparation unit accurately weighs and mixes each microbial strain according to the ratio of each microorganism given by the microbial community optimization design module to prepare a microbial mixture that meets the requirements of the target soil; and adjusts the total concentration C of the microbial mixture. to , to ensure that the expected restoration effect can be achieved after release; the total concentration of the microbial mixture C to Obtained by the following formula: In the formula, χ i represents the proportion of the i-th microorganism in the microbial mixture; C i represents the initial concentration of the i-th microorganism; The microbial mixture delivery unit delivers the microbial mixture evenly to the saline-alkali land to be repaired by spraying and irrigation according to the geographical conditions and soil characteristics of the saline-alkali land to be repaired; Using precise delivery equipment, the microbial mixture is evenly distributed in a designated area according to the calculated total delivery amount of the microbial mixture; the total delivery amount of the microbial mixture V to The calculation formula is: V to =D app *A la ; Where D app It indicates the placement density, specifically the volume of microbial mixture that needs to be placed per unit area; A la Indicates the total area of ​​the delivery zone.

6. A saline-alkali land remediation system according to claim 1 or 2, characterized in that: The soil remediation process monitoring module includes a soil salinity and alkalinity change monitoring unit and a microbial community evolution monitoring unit; The soil salinity change monitoring unit regularly collects soil samples of the saline-alkali land to be restored, and analyzes the sodium ions Na in the soil at different restoration times of the saline-alkali land to be restored. + and chloride ion Cl - Concentration is used to evaluate the change of soil salt concentration during the restoration process of the saline-alkali land to be restored; the pH value of the saline-alkali land to be restored at different restoration times is measured to monitor the regulating effect of the microorganisms on the alkalinity of the saline-alkali land to be restored after release; the calculation formula for the change of soil salt during the restoration process of the saline-alkali land to be restored is as follows: In the formula, ΔS sal (t) represents the change in soil salinity at restoration time t; S Na (0) and S Cl (0) represents the soil Na before adding microbial mixture + and Cl - The initial concentration of S Na (t) represents the sodium ion concentration in the soil at the restoration time point t; S Cl (t) represents the soil chloride concentration at restoration time point t; The calculation formula for the change of soil pH value during the restoration of the saline-alkali land to be restored is: ΔpH(t)=pH soil (t)-pH soil (0); Where: ΔpH(t) represents the change in soil pH at restoration time t; pH soil (0) represents the initial pH value of the soil before the microbial mixture was added; pH soil (t) represents the pH value of the soil at the restoration time point t; The microbial community evolution monitoring unit regularly collects soil samples from the saline-alkali land to be restored, analyzes the structural changes of the microbial community in the saline-alkali land to be restored by the fluorescent quantitative PCR method, and evaluates the relative abundance of different microbial populations during the saline-alkali land restoration process; determines the activity indicators of key microorganisms and evaluates their performance during the restoration process; the formula for the change of relative abundance of microorganisms during the saline-alkali land restoration process is: In the formula, ΔR i (t) represents the percentage change in relative abundance of the i-th microorganism at restoration time t; R i (t) represents the relative abundance of the i-th microorganism at the restoration time point t; R i (0) represents the initial relative abundance of the i-th microorganism before the microbial mixture is added; The formula for the change of microbial activity during the saline-alkali land restoration process is: ΔA i (t)=A i (t)-A i (0); In the formula, ΔA i (t) represents the change in activity of the i-th microorganism at restoration time t; A i (t) represents the activity of the i-th microorganism at the restoration time point t; A i (0) represents the initial activity of the i-th microorganism before adding the microbial mixture.

7. A saline-alkali land restoration system according to claim 1, characterized in that: The soil remediation effect evaluation module includes a soil data comparison unit before and after remediation and a remediation target achievement evaluation unit; The soil data comparison unit before and after restoration collects and organizes the soil data before and after restoration of the saline-alkali land to be restored transmitted by the soil restoration process monitoring module and transmits the comparison results to the restoration target achievement assessment unit, wherein the soil data includes key indicators of salt concentration, pH value, organic matter content and microbial diversity; The restoration target achievement assessment unit determines specific assessment criteria based on the goals set at the initial stage of restoration, including the target value for salt reduction, pH adjustment range and requirements for improving microbial diversity; uses the results of the soil data comparison unit before and after restoration to assess whether each restoration indicator has achieved the expected goal and gives a comprehensive evaluation.

8. A method for restoring saline-alkali land, characterized in that: The repair method uses the saline-alkali land repair system according to any one of claims 1 to 7 to repair the saline-alkali land to be repaired, and specifically comprises the following steps: S1: Soil samples are collected from different areas of saline-alkali land through the soil sample collection and preliminary analysis module, and the sodium ion Na in the soil samples of the saline-alkali land to be repaired is analyzed. + Concentration and chloride ion Cl - The concentration was measured and the salt index of the saline-alkali soil to be restored was calculated; the pH value of the saline-alkali soil samples to be restored was measured to calculate the cation exchange capacity (CEC) of the saline-alkali soil to be restored; high-throughput sequencing technology was used to detect the microbial community structure of the saline-alkali soil samples to be restored, the microbial diversity index of the saline-alkali soil to be restored was calculated, and the main microbial species of the saline-alkali soil to be restored were identified; S2. Using the microbial community optimization design module, based on the analysis results of the soil sample collection and preliminary analysis module, screen out microorganisms capable of decomposing organic matter, reducing soil salinity and regulating pH from the existing microbial library, and determine a specific microbial mixture combination through an optimization algorithm; S3. using the microbial mixture preparation and delivery module to prepare a suitable microbial mixture according to the results of the microbial community optimization design module, and evenly delivering the microbial mixture to the saline-alkali land by spraying and irrigation; S4. After the microbial mixture is added, the soil salinity and alkalinity changes and the evolution of the microbial community in the soil are regularly monitored through the soil remediation process monitoring module to evaluate the remediation progress; S5. Use the soil remediation effect evaluation module to compare the soil data before and after the restoration of the saline-alkali land to evaluate the restoration effect.

9. A saline-alkali land restoration method according to claim 8, characterized in that: The remediation method also includes the following steps: judging whether the expected goal is achieved according to the evaluation results of the soil remediation effect evaluation module; if the remediation effect does not meet the expected goal, adjusting the combination ratio of the microbial community, optimizing the types and quantities of microorganisms, and repeating steps S1 to S5 to perform remediation again; if the remediation effect meets the expected goal, summarizing the experience and optimizing future remediation strategies; the expected remediation goals include a sodium ion concentration reduction goal, a chloride ion concentration reduction goal, a pH value adjustment goal, an organic matter content increase goal, and a microbial diversity improvement goal.

10. A saline-alkali land restoration method according to claim 8, characterized in that: The specific process of step S2 is as follows: based on the salt index, cation exchange capacity and microbial diversity index of the saline-alkali soil to be restored calculated in step S1, microorganisms capable of decomposing organic matter, reducing soil salinity and adjusting pH are screened from the existing microbial library, and the effectiveness of each candidate microorganism under specific soil conditions is evaluated through simulation experiments or existing experimental data to determine their functional strength; In the formula, E i represents the comprehensive efficacy index of the i-th microorganism, ω o ,ω s and ω pH They represent the weights of organic matter decomposition, salt reduction, and pH adjustment capabilities, respectively, and are set according to the priority of soil remediation; and They represent the organic matter decomposition ability of the ith microorganism, the salt reduction ability of the ith microorganism, and the pH adjustment ability of the ith microorganism, respectively; Then, the optimal microbial combination is determined through the optimization algorithm to achieve the best effect under the target soil conditions, and the optimal proportion of each microorganism in the mixture is calculated to ensure the synergistic effect of different microorganisms and maximize the remediation efficiency; the proportion of each microorganism is determined through the multi-objective optimization algorithm. i , so that the following objective function is maximized: Where MaxO represents the multi-objective optimization algorithm; i represents the proportion of the i-th microorganism in the combination; The sum of the proportions of each microorganism in the combination is 100%.

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