Ecological regulation and control method and system for treating saline alkali soil polluted by building waste

Abstract

The invention relates to the technical field of saline-alkali soil treatment, and discloses an ecological regulation and control method and system for treating saline-alkali soil polluted by building waste. The method comprises the following steps: collecting heavy metal content data and heavy metal type data of polluted soil as to-be-evaluated parameters; collecting output value data of salt-tolerant crops as matching objects; generating a response parameter for each candidate conditioner type, evaluating the response parameters based on a preset risk threshold, and screening out a conditioner to be evaluated; the soil heavy metal treatment effect is directly associated with the crop output value, so that the conditioner which can effectively repair soil and has the minimum influence on agricultural production can be screened out, and the balance of ecological benefits and economic benefits is achieved.

Description

Technical Field

[0001] This invention belongs to the field of saline-alkali soil remediation technology, specifically relating to an ecological regulation method and system for treating saline-alkali soil polluted by construction waste. Background Technology

[0002] With the acceleration of urbanization and the development of infrastructure construction, the generation and disposal of construction waste has become a challenge in the field of environmental protection. Construction waste has a complex composition, and if not properly treated, harmful substances such as heavy metals in construction waste can seep into the soil, damaging the soil structure, causing soil salinization, interfering with plant growth, and disrupting the regional ecological balance, all of which have adverse effects on urban greening and agricultural production.

[0003] Current technologies typically determine the type and concentration of pollutants through soil sampling and analysis, then apply appropriate chemical conditioners for neutralization and fixation, supplemented by phytoremediation through planting salt-tolerant crops. However, the effectiveness of conditioner application is highly parameter-sensitive; its remediation performance depends not only on the chemical composition of the conditioner itself but also on the precise setting of multiple parameters such as dosage, ratio, and timing of application. Current technologies lack effective optimization of these parameters, relying instead on rough, empirical judgments, leading to a somewhat arbitrary application process.

[0004] Furthermore, existing technologies cannot predict and evaluate the treatment effect under specific parameter combinations in real time. They can only judge the effect by re-sampling and analyzing after a period of time. This approach leads to a longer remediation cycle and cannot meet the need for rapid treatment.

[0005] To address the aforementioned problems, this invention provides an ecological regulation method and system for treating saline-alkali soil polluted by construction waste. Summary of the Invention

[0006] The purpose of this invention is to provide an ecological regulation method and system for treating saline-alkali soil polluted by construction waste, so as to solve the technical problem that the accuracy of existing treatment schemes for saline-alkali soil polluted by construction waste is poor.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0008] An ecological regulation method for treating saline-alkali soil polluted by construction waste includes the following steps:

[0009] When the estimated reduction in the effectiveness of the existing conditioning agent meets the preset replacement criteria, a conditioning agent screening and validation process is executed to identify new effective conditioning agents from multiple candidate conditioning agent types.

[0010] Determine the initial dosage of the new effective conditioning agent;

[0011] Based on the initial dosage, administer the new effective conditioner.

[0012] Among them, the estimated reduction in the effectiveness of the monitored conditioning agents meets the preset replacement conditions, including:

[0013] During the initial lifespan of the effective conditioner in use, data on the heavy metal content in the contaminated soil are continuously collected at a preset sampling frequency.

[0014] Based on continuously collected heavy metal content data, a set of indicators of the ability of effective conditioning agents to reduce heavy metals was calculated.

[0015] Based on the set of capacity reduction indicators, the estimated capacity reduction value is calculated;

[0016] The reduced capacity estimate is compared with a preset performance standard threshold to determine whether the replacement conditions are met.

[0017] Preferably, when the estimated reduction in effectiveness of the currently used conditioner meets the preset replacement criteria, a conditioner screening and validation process is executed, including:

[0018] For each candidate conditioner type, response parameters are generated based on the parameters to be evaluated and the matching objects to form an evaluation set. The parameters to be evaluated include heavy metal type data and heavy metal content data, and the matching objects are the yield data of salt-tolerant crops.

[0019] The type of treatment agent corresponding to the response parameter whose value in the assessment set is less than the preset risk threshold is labeled as the treatment agent to be assessed.

[0020] The conditioner type corresponding to the response parameter whose value in the assessment set is greater than or equal to the risk threshold is designated as the conditioner to be accepted.

[0021] Preferably, when the estimated reduction in effectiveness of the in-use conditioner meets the preset replacement criteria, the conditioner screening and validation process further includes:

[0022] Validation of the conditioner to be evaluated was performed, including testing each conditioner in the validation sample and collecting the heavy metal content in the validation sample as the detection value;

[0023] The detected value is compared with the preset upper limit of the heavy metal content standard;

[0024] Conditioners that have passed verification and are being evaluated, and whose detected values ​​are lower than the preset upper limit of heavy metal content standards, are identified as new effective conditioners.

[0025] Preferably, the method further includes:

[0026] If all the conditioners to be evaluated fail the validation, the set of conditioners to be accepted is activated, and the validation is repeated for the conditioners in the set of conditioners to be accepted until a new valid conditioner is identified.

[0027] Preferably, determining the initial dosage of the new effective conditioner includes:

[0028] Collect multiple conditioner indicators corresponding to the new effective conditioners;

[0029] Weights were assigned to each of the multiple conditioning agent indicators;

[0030] The initial dosage was calculated based on the conditioning agent indicator with the highest weight value.

[0031] Preferably, after identifying a new effective conditioner, the method further includes:

[0032] Record the time point at which a new effective conditioner is validated as the end time of treatment, and calculate the duration of its treatment process;

[0033] The duration of the treatment process is defined as the initial lifespan of the new effective conditioner;

[0034] The maximum lifespan is calculated based on the initial lifespan and the durability parameters of the new effective conditioner.

[0035] An ecological regulation system for treating saline-alkali soil polluted by construction waste includes:

[0036] The performance monitoring module is used to monitor the performance status of the effective conditioner in use and generate a replacement trigger signal when the performance status meets the preset replacement conditions. The performance status is obtained by continuously collecting and analyzing the heavy metal content in the contaminated soil.

[0037] The conditioner decision module, configured in response to a replacement trigger signal, is used to perform a conditioner screening and validation process to identify new effective conditioners from multiple candidate conditioner types and determine their initial dosage.

[0038] The conditioner dispensing module is used to dispense new effective conditioners based on the initial dispensing amount determined by the conditioner decision module.

[0039] The lifecycle management module is used to establish an initial lifecycle and maximum lifecycle duration for new effective conditioners after the conditioner decision module has identified them, so as to serve as a benchmark for subsequent monitoring by the performance monitoring module.

[0040] Preferably, the conditioner decision module is configured as follows:

[0041] Based on risk assessment, the candidate conditioning agents are divided into conditioning agents to be evaluated and conditioning agents to be accepted.

[0042] Prioritize the evaluation and validation of conditioning agents to identify new and effective conditioning agents;

[0043] If none of the conditioners to be evaluated pass validation, validation will be performed on the conditioners to be accepted.

[0044] Preferably, the performance monitoring module is configured as follows:

[0045] Based on the heavy metal content data collected continuously at a preset sampling frequency during the initial lifespan of the effective conditioner in use, a set of reduction capacity indicators is calculated.

[0046] By performing time series trend analysis on the set of capacity reduction indicators, the estimated value of capacity reduction is calculated;

[0047] The reduced capacity estimate is compared with a preset performance standard threshold to determine whether the replacement conditions are met.

[0048] Preferably, the conditioner dispensing module is configured as follows:

[0049] After the delivery operation is carried out, the first dose is obtained through local soil sampling and real-time chemical testing, and the second dose is calculated based on the first dose to form a set of doses to be compared.

[0050] Based on the updated parameters to be run, the recommended dosage is calculated using multi-factor fitting calculation rules.

[0051] It provides a user interface to receive correction parameters input by users and fine-tune the recommended dosage.

[0052] Beneficial effects

[0053] 1. This invention collects heavy metal content and heavy metal type data from contaminated soil as evaluation parameters; collects yield data from salt-tolerant crops as matching objects; generates response parameters for each candidate conditioner type; evaluates the response parameters based on a preset risk threshold; and screens out the conditioners to be evaluated. It directly links the soil heavy metal remediation effect with crop yield, thereby screening out conditioners that effectively remediate soil and have the least impact on agricultural production, achieving a balance between ecological and economic benefits.

[0054] 2. After identifying a new effective conditioner, this invention calculates the initial dosage by conducting sensitivity tests on the conditioner's indicators and setting weights. After the dosage is applied, a recommended dosage is calculated based on the updated parameters to be run and a preset formula. This ensures that the dosage accurately matches the real-time state of the soil and the treatment needs, thereby avoiding resource waste or secondary pollution caused by excessive application while ensuring the remediation effect. This makes the treatment process scientific and economical.

[0055] 3. This invention calculates the initial lifespan and maximum lifespan of a new effective conditioner; within its lifespan, it continuously collects heavy metal content data to calculate an estimated reduction capacity; it compares the estimated reduction capacity with a preset performance standard threshold to determine whether the effective conditioner in use is in normal working condition or whether its performance meets the preset replacement conditions, thus transforming the remediation process from a passive response to proactive management. By assessing the performance status of the effective conditioner in use in real time and predicting its remaining working time, it provides early warning of performance degradation risks and guides replacement operations, ensuring the long-term stability of soil remediation effects. Attached Figure Description

[0056] Figure 1 This is a flowchart of the method provided by the present invention;

[0057] Figure 2 This is a system module diagram provided by the present invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments. It should be understood that the specific embodiments described herein are merely for explaining the invention and are not intended to limit the scope of protection of the invention.

[0059] Example 1

[0060] See Figure 1 This embodiment provides an ecological regulation method for treating saline-alkali soil polluted by construction waste, including:

[0061] S1. Perform data acquisition and preprocessing steps, as follows:

[0062] Samples are obtained from the construction waste sampling area and defined as samples to be calibrated, and the sampling date is recorded. The calibration cycle to which the samples to be calibrated belong is determined according to the preset planning cycle, which serves as the time frame for parameter calibration and effect evaluation. The preset planning cycle is preferably based on quarters or semi-annually.

[0063] The future expiration time corresponding to the calibration cycle is defined as the node to be verified. This node to be verified will serve as the time benchmark for all subsequent parameter evaluations and predictions.

[0064] S2. Execution parameter optimization and control variable management steps are as follows:

[0065] Based on the preset time series extrapolation rules, a time offset operation is performed on the node to be verified to generate multiple future evaluation nodes for parameter collection and effect prediction. For each evaluation node, a corresponding vector index is calculated, which is an adjustment coefficient or vector used to quantify the expected seasonal environmental impacts such as temperature or rainfall at that time point.

[0066] For each assessment node, data on the types and contents of heavy metals in the contaminated soil within the construction waste sampling area are collected, and these two types of data are defined together as the parameters to be assessed.

[0067] Data on the output value of salt-tolerant crops planted on contaminated soil is collected and defined as a matching object, serving as a core economic indicator for measuring soil ecological health. Multiple types of conditioners are provided as candidates, and for each candidate conditioner type, a comprehensive scoring process is used to generate response parameters for each candidate conditioner type in order to screen out the optimal remediation solution.

[0068] The scoring process not only considers the positive impact on the matched entities, but also prioritizes assessing their ability to treat heavy metal pollution. Specifically:

[0069] The toxicity values ​​of each heavy metal present in the soil are collected from the environmental standard database and arranged in descending order of value to form a toxicity ranking list, so that high-risk heavy metal pollutants are given priority for treatment. For each type of conditioner, its corresponding maximum remediation capacity is obtained, and the maximum remediation capacity is adjusted downward according to a preset correction ratio, such as 80%, to obtain a corrected capacity with safety redundancy. The maximum remediation capacity is the maximum amount of a specific heavy metal that a unit mass of conditioner can complex or fix.

[0070] Starting from the top of the toxicity ranking list, determine one by one whether the corrected carrying capacity of the conditioner is greater than or equal to the actual content of the corresponding heavy metal in the soil;

[0071] Through a pre-defined weighted summation calculation process, the final response parameters are generated by combining the types and quantities of heavy metals that the conditioner can effectively treat, their ranking in the toxicity ranking list, and their expected impact on the matched objects.

[0072] If a type of conditioner can treat heavy metals that rank high on the toxicity ranking list and at the same time have a positive impact on crop yield, then the value of its generated response parameter is better; after all the generated response parameters are summarized, an assessment set is formed for subsequent risk assessment and screening.

[0073] A preset risk threshold is set to distinguish conditioners with different risk levels. Response parameters whose values ​​in the evaluation set are less than the preset risk threshold are defined as safety response parameters. Conditioner types corresponding to these safety response parameters are labeled as conditioners to be evaluated and then proceed to the subsequent dosage determination process.

[0074] In contrast, response parameters whose values ​​in the assessment set are greater than or equal to the preset risk threshold are defined as risk parameters. For the type of conditioner corresponding to the risk parameter, the correction ratio of its risk excess is calculated, and the replacement ratio is determined based on the correction ratio.

[0075] The correction ratio for the degree of risk excess is the ratio of the degree to which the value of the risk parameter exceeds the risk threshold to the risk threshold itself. This ratio is used to quantify the risk level.

[0076] Among the candidate conditioning agents, those with a replacement effect that matches the replacement ratio and has a lower risk are selected. In other words, conditioning agents that achieve a similar heavy metal removal rate without introducing other negative impacts are selected and marked as conditioning agents to be accepted and stored in the system as backup solutions.

[0077] The time series extrapolation rule is a computational model used to generate multiple future evaluation nodes based on the node to be verified. Its specific definition is as follows:

[0078]

[0079] In the formula, This represents the kth evaluation node, which means the kth time point for parameter evaluation calculated by the model within a future calibration cycle;

[0080] This indicates the node to be verified, which means the reference time point that serves as the starting point for the deduction, usually the end time of the current calibration cycle;

[0081] This indicates the calibration period, which is the total duration of the pre-set planning period;

[0082] This represents the total number of evaluation nodes, which is the number of future evaluation time points generated within a proofing cycle.

[0083] This represents the node index, which means the sequence number of the evaluated node in the time series.

[0084] The replacement ratio is a ratio determined based on the degree of risk excess and is used to guide the search for alternative conditioners with corresponding risk reduction capabilities.

[0085] S3. Proceed to the step of determining and correcting the dosage of the conditioning agent, as follows:

[0086] For the conditioners to be evaluated selected in the previous step, multiple preset conditioner indicators are collected, such as the complexation efficiency of specific heavy metals, the influence coefficient of soil pH, and the unit cost-effectiveness. By consulting the preset interaction effect matrix, the logical relationship between these conditioner indicators is extracted, that is, the synergistic or antagonistic effect between certain indicators. These indicators and their quantitative logical relationships are integrated to form the parameters to be run for the dose calculation model input.

[0087] Specifically, the importance of each indicator is assessed through the following steps:

[0088] The parameter to be run is used as the sample to be tested, and a sensitivity test is performed. This test is completed by adjusting the value of each individual indicator within a preset range while keeping other indicators unchanged, and observing the fluctuation range of the final comprehensive governance effect score.

[0089] Based on the current governance goals, weights are assigned to multiple conditioner indicators. For example, in the case of extremely severe heavy metal pollution, the weight of complexation efficiency can be set to the maximum value. The conditioner indicator with the largest current weight value is selected, and the initial dosage is calculated based on the performance data of this indicator to guide the initial application on site.

[0090] After the initial dosage is applied, the direct effect of the initial application is evaluated by immediate local soil sampling and real-time chemical testing to obtain the actual measured value, i.e., the first dose. The dose that is 50% of the first dose is defined as the second dose. The first dose and the second dose together constitute the set of doses to be compared, providing an actual calibration benchmark for subsequent dose optimization calculations.

[0091] Since the data from the initial application reflects the actual response of the soil environment to the initial application, multiple conditioner indicators are collected again. These newly collected indicator data are integrated to form updated parameters to be used. Based on these updated parameters and applying the preset multi-factor fitting calculation rules, a new application dose value is calculated and defined as the recommended application dose of the conditioner.

[0092] The multi-factor fitting calculation rule is a mathematical model used to calculate the recommended dosage based on the updated parameters to be run. Its specific definition is as follows:

[0093]

[0094] The input is the quantified value of the updated conditioner index. Examples include complexation efficiency and pH influence coefficient.

[0095] In the formula: This indicates the recommended dosage, which means the optimized dosage calculated by the model, taking into account multiple conditioner indicators and their interactions;

[0096] This represents the quantified value of the i-th conditioner indicator, which means the numerical representation of the performance indicator of the i-th conditioner.

[0097] This represents the baseline dose intercept, which means the baseline dose predicted by the model when all opsonant indicators are zero.

[0098] The linear coefficient represents the weight of the linear influence of the i-th conditioner index on the recommended dosage.

[0099] This represents the interaction effect coefficient, which is a quantitative indicator extracted from the interaction effect matrix. and The weighting of the synergistic or antagonistic effects between agents on the recommended dosage;

[0100] This indicates the total number of conditioning agent indicators, which means the number of conditioning agent indicators involved in this dosage calculation;

[0101] This refers to the index used to traverse the set of conditioner indicators during summation calculations.

[0102] After defining the dosage value as the recommended dosage, a human-computer interaction correction step is included to incorporate expert experience, specifically:

[0103] The aforementioned second dose and the currently calculated recommended dosage are offset by a margin of approximately 10%, forming a new set of doses to be compared. Simultaneously, a sample to be run is generated based on the latest conditioning agent indicators, namely a list of key performance indicators and their current values, which is then visualized on the user interface. This user interface allows users to select or input correction parameters based on their professional judgment to fine-tune the recommended dosage given by the device until the user confirms the final recommended dosage.

[0104] Conditioner indicators are specific parameters used to describe and quantify a certain aspect of the performance or properties of conditioners, including complexation efficiency, influence coefficient on soil pH, and unit cost-effectiveness.

[0105] The interaction effect matrix is ​​a pre-defined data structure stored in matrix form, used to query and quantify logical relationships such as synergistic (positive correlation) or antagonistic (negative correlation) relationships between different conditioner indicators.

[0106] S4. The specific steps for verifying the effectiveness of the conditioner are as follows:

[0107] A representative piece of contaminated soil was collected as a validation sample, and the validation sample was divided into multiple sample parts under laboratory conditions. A conditioner from the set of conditioners to be evaluated was added to each sample part independently, and the start time of adding the conditioner to each sample part was recorded. When the first preset time interval after the start time was reached, that is, after 24 hours, the heavy metal content in each sample part was measured, and the measurement result was defined as the detection value.

[0108] The device has a built-in preset upper limit value for heavy metal content, and the detection value of each sample is compared with the preset upper limit value for heavy metal content.

[0109] If the detected value of a sample is less than the preset upper limit of the heavy metal content standard, the corresponding conditioner is determined to have passed the evaluation, and the conditioner that has passed the evaluation is defined as an effective conditioner. For effective conditioners, the time point when the evaluation is passed is recorded as the end time of the treatment, and the time difference between the start time and the end time of the treatment is calculated. This time difference is defined as the initial life cycle of the effective conditioner, and a countdown tracking record is initialized for the effective conditioner.

[0110] If the detected value is greater than or equal to the preset upper limit of the heavy metal content standard, the corresponding preparation is determined to have failed the evaluation. If all preparations from the set of preparations to be evaluated fail the evaluation, the generated set of preparations to be accepted will be automatically activated.

[0111] For each of the prepared ingredients in the set to be accepted, repeat the entire process described above, including adding the prepared ingredient to the sample, recording the start time, collecting test values, comparing with the preset upper limit of heavy metal content standards, and determining whether it passes the evaluation, until at least one prepared ingredient is determined to have passed the evaluation.

[0112] If, after exhausting the set of conditioners to be accepted, no conditioner still passes the evaluation, the process will automatically return to the step S3, "calculate the recommended dosage based on the updated parameters to be run and the multi-factor fitting calculation rules," and the problem will be solved by adjusting the dosage, forming a closed-loop error correction process.

[0113] The set of conditioners to be accepted refers to the collection of all conditioners to be accepted, which serves as a backup solution library.

[0114] S5. Implement a conditioning agent lifespan management and replacement mechanism; details are as follows:

[0115] During the initial lifespan of the effective conditioner, heavy metal content data in the contaminated soil are continuously collected at a preset sampling frequency, such as once a week. Based on these continuously collected heavy metal content data that constitute a time series, a series of indicators reflecting the heavy metal reduction capacity of the effective conditioner are calculated, and the set of these heavy metal reduction capacity indicators is defined as the parameter set to be estimated. By performing time series trend analysis on the parameter set to be estimated, a quantitative estimate of the reduction capacity is calculated.

[0116] The estimated reduction capacity is compared with a preset performance standard threshold. If the estimated reduction capacity is greater than the performance standard threshold, the effective conditioner is determined to be in normal working condition. The durability parameter of the effective conditioner is obtained, which is the time value representing its material stability determined based on the manufacturer's specifications or historical application data. This durability parameter is added to the determined initial life cycle to calculate the maximum lifespan of the effective conditioner.

[0117] Based on this maximum lifespan, the remaining time during the normal working phase is calculated, and this remaining time is defined as the working time.

[0118] Conversely, if the estimated reduction in performance is less than or equal to the performance standard threshold, it is determined that the performance of the effective conditioner has deteriorated and needs to be replaced. At this time, based on the calculated maximum lifespan of the effective conditioner, the period of the verification cycle is divided. The effective conditioner that needs to be replaced in a future verification cycle, as determined by this period division, is defined as a conditioner to be replaced in a phase and is automatically included in the digital maintenance plan.

[0119] When the scheduled replacement time is approaching, the current time is collected and compared with the time in the maintenance plan to generate a reminder message to replace the conditioner; before the next step of continuously collecting heavy metal content data, it is determined whether the conditioner to be replaced in this stage has been replaced by a new conditioner.

[0120] If the determination is negative, the condition remains in the pending replacement state and the reminder may be upgraded; if the determination is positive, the newly added conditioner is defined as a new effective conditioner, and a brand new countdown tracking record is initialized for the new effective conditioner, seamlessly starting a new round of life cycle tracking and management.

[0121] Example 2

[0122] See Figure 2 This embodiment provides an ecological regulation system for treating saline-alkali soil polluted by construction waste. The system includes:

[0123] The performance monitoring module is configured to continuously monitor the performance status of the effective conditioner in use and generate a replacement trigger signal when its performance meets the preset replacement conditions.

[0124] Furthermore, during the initial lifespan of the effective conditioner in use, heavy metal content data in the contaminated soil are continuously collected via a sensor network at a preset sampling frequency; based on the continuously collected heavy metal content data, a set of parameters to be estimated reflecting the change of conditioner efficacy over time is calculated; based on this set of parameters to be estimated, an estimated value of reduction capacity is calculated.

[0125] The reduced capacity estimate is compared with the preset performance standard threshold. If the comparison result determines that the preset replacement condition is met, such as the reduced capacity estimate being lower than the preset performance standard threshold, it indicates that the treatment capacity of the currently used effective conditioner has significantly decreased and needs to be replaced. At this time, the performance monitoring module generates a replacement trigger signal and sends it to the conditioner decision module.

[0126] The conditioner decision module is configured to respond to a replacement trigger signal generated by the performance monitoring module to perform a conditioner screening and validation process to identify new effective conditioners from multiple candidate conditioner types and determine their initial dosage.

[0127] Furthermore, a treatment agent screening and validation process is initiated. For each candidate treatment agent in the pre-defined candidate treatment agent type library, a risk assessment is performed. The specific steps are as follows:

[0128] Based on the parameters to be evaluated, including heavy metal type data and heavy metal content data obtained from contaminated soil, and the matching objects, namely the yield data of salt-tolerant crops related to soil conditions and crop types, response parameters are generated, and all response parameters together form an evaluation set.

[0129] The type of treatment agent corresponding to the response parameter whose value in the evaluation set is less than the preset risk threshold is labeled as the treatment agent to be evaluated; the type of treatment agent corresponding to the response parameter whose value in the evaluation set is greater than or equal to the risk threshold is labeled as the treatment agent to be accepted; thus, the candidate treatment agents are divided into low-risk treatment agents to be evaluated and treatment agents to be accepted that have potential high returns but also relatively high risks.

[0130] Priority is given to validating the conditioners to be evaluated. This validation process involves testing each conditioner in validation samples, i.e., soil samples taken from small experimental plots in the field or in the laboratory. After a period of treatment, the heavy metal content in the validation samples is collected as a detection value. This detection value is compared with a preset upper limit for heavy metal content standards. If the detection value corresponding to a conditioner to be evaluated is less than the preset upper limit for heavy metal content standards, it indicates that it has passed the validation and is identified as a new effective conditioner. If all conditioners to be evaluated fail the validation, a set of conditioners to be accepted is activated, and the above validation process is repeated for the conditioners in the set until a new effective conditioner is identified.

[0131] After identifying the new effective conditioner, its initial dosage also needs to be determined, as follows:

[0132] Multiple conditioning agent indicators corresponding to the new effective conditioning agent are collected, such as physicochemical properties, cost, and environmental impact, and weights are assigned to these conditioning agent indicators respectively; based on the conditioning agent indicator with the largest weight value, the initial dosage is calculated through a preset calculation model or lookup table.

[0133] After completing the above process, the conditioner decision module will send the determined new effective conditioner type and its initial dosage information to the conditioner dosing module, and send a confirmation signal to the life cycle management module.

[0134] The conditioner dispensing module is configured to dispense new effective conditioners based on the initial dispensing amount determined by the conditioner decision module. Upon receiving instructions from the conditioner decision module, it converts the conditioner type and dispensing amount into specific control commands and sends them to the physical conditioner dispensing device to accurately dispense the new effective conditioner in the designated area.

[0135] The lifecycle management module is configured to create a lifecycle profile for a new effective conditioner after the conditioner decision module identifies it, so as to serve as a benchmark for subsequent monitoring by the performance monitoring module.

[0136] Upon receiving the confirmation signal from the conditioner decision module, the time point at which the new effective conditioner passes verification is recorded and defined as the processing end time. The initial lifespan of the new effective conditioner is calculated based on the time difference between the processing end time and the start time.

[0137] In addition, the maximum lifespan can be calculated based on the initial lifespan and the durability parameters characterizing the material properties of the conditioner. Lifespan data such as the initial lifespan and the maximum lifespan are then transmitted to the performance monitoring module as benchmark parameters for the next round of performance monitoring of newly applied conditioners.

[0138] This embodiment maintains and updates the soil according to the actual changes in the soil environment and the true effectiveness of the conditioning agent, ensuring the long-term and efficient treatment of saline-alkali soil contaminated by construction waste. It is suitable for large-scale ecological restoration projects that require long-term dynamic maintenance.

[0139] The above description is merely a preferred embodiment of this application and is not intended to limit this application. For those skilled in the art, this application can have various modifications and variations. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. An ecological regulation method for treating saline-alkali soil polluted by construction waste, characterized in that, Includes the following steps: When the estimated reduction in the effectiveness of the existing conditioning agent meets the preset replacement criteria, a conditioning agent screening and validation process is executed to identify new effective conditioning agents from multiple candidate conditioning agent types. Determine the initial dosage of the new effective conditioning agent; Based on the initial dosage, administer the new effective conditioner. Among them, the estimated reduction in the effectiveness of the monitored conditioning agents meets the preset replacement conditions, including: During the initial lifespan of the effective conditioner in use, data on the heavy metal content in the contaminated soil are continuously collected at a preset sampling frequency. Based on continuously collected heavy metal content data, a set of indicators of the ability of effective conditioning agents to reduce heavy metals was calculated. Based on the set of capacity reduction indicators, the estimated capacity reduction value is calculated; The reduced capacity estimate is compared with a preset performance standard threshold to determine whether the replacement conditions are met.

2. The ecological regulation method for treating saline-alkali soil polluted by construction waste according to claim 1, characterized in that, When the estimated reduction in effectiveness of the currently used conditional supplement meets the preset replacement criteria, a conditional supplement screening and validation process is executed, including: For each candidate conditioner type, response parameters are generated based on the parameters to be evaluated and the matching objects to form an evaluation set. The parameters to be evaluated include heavy metal type data and heavy metal content data, and the matching objects are the yield data of salt-tolerant crops. The type of treatment agent corresponding to the response parameter whose value in the assessment set is less than the preset risk threshold is labeled as the treatment agent to be assessed. The conditioner type corresponding to the response parameter whose value in the assessment set is greater than or equal to the risk threshold is designated as the conditioner to be accepted.

3. The ecological regulation method for treating saline-alkali soil polluted by construction waste according to claim 2, characterized in that, When the estimated reduction in effectiveness of the currently used conditional agent meets the preset replacement criteria, the conditional agent screening and validation process also includes: Validation of the conditioner to be evaluated was performed, including testing each conditioner in the validation sample and collecting the heavy metal content in the validation sample as the detection value; The detected value is compared with the preset upper limit of the heavy metal content standard; Conditioners that have passed verification and are being evaluated, and whose detected values ​​are lower than the preset upper limit of heavy metal content standards, are identified as new effective conditioners.

4. The ecological regulation method for treating saline-alkali soil polluted by construction waste according to claim 3, characterized in that, The method further includes: If all the conditioners to be evaluated fail the validation, the set of conditioners to be accepted is activated, and the validation is repeated for the conditioners in the set of conditioners to be accepted until a new valid conditioner is identified.

5. The ecological regulation method for treating saline-alkali soil polluted by construction waste according to claim 1, characterized in that, Determining the initial dosage of a new effective conditioning agent includes: Collect multiple conditioner indicators corresponding to the new effective conditioners; Weights were assigned to each of the multiple conditioning agent indicators; The initial dosage was calculated based on the conditioning agent indicator with the highest weight value.

6. The ecological regulation method for treating saline-alkali soil polluted by construction waste according to claim 3, characterized in that, After identifying a new effective conditioner, the method further includes: Record the time point at which a new effective conditioner is validated as the end time of treatment, and calculate the duration of its treatment process; The duration of the treatment process is defined as the initial lifespan of the new effective conditioner; The maximum lifespan is calculated based on the initial lifespan and the durability parameters of the new effective conditioner.

7. An ecological regulation system for treating saline-alkali soil polluted by construction waste, characterized in that, include: The performance monitoring module is used to monitor the performance status of the effective conditioner in use and generate a replacement trigger signal when the performance status meets the preset replacement conditions. The performance status is obtained by continuously collecting and analyzing the heavy metal content in the contaminated soil. The conditioner decision module, configured in response to a replacement trigger signal, is used to perform a conditioner screening and validation process to identify new effective conditioners from multiple candidate conditioner types and determine their initial dosage. The conditioner dispensing module is used to dispense new effective conditioners based on the initial dispensing amount determined by the conditioner decision module. The lifecycle management module is used to establish an initial lifecycle and maximum lifecycle duration for new effective conditioners after the conditioner decision module has identified them, so as to serve as a benchmark for subsequent monitoring by the performance monitoring module.

8. An ecological regulation system for treating saline-alkali soil polluted by construction waste according to claim 7, characterized in that, The conditioner decision module is configured as follows: Based on risk assessment, the candidate conditioning agents are divided into conditioning agents to be evaluated and conditioning agents to be accepted. Prioritize the evaluation and validation of conditioning agents to identify new and effective conditioning agents; If none of the conditioners to be evaluated pass validation, validation will be performed on the conditioners to be accepted.

9. An ecological regulation system for treating saline-alkali soil polluted by construction waste according to claim 7, characterized in that, The performance monitoring module is configured as follows: Based on the heavy metal content data collected continuously at a preset sampling frequency during the initial lifespan of the effective conditioner in use, a set of reduction capacity indicators is calculated. By performing time series trend analysis on the set of capacity reduction indicators, the estimated value of capacity reduction is calculated; The reduced capacity estimate is compared with a preset performance standard threshold to determine whether the replacement conditions are met.

10. An ecological regulation system for treating saline-alkali soil polluted by construction waste according to claim 7, characterized in that, The conditioner dispensing module is configured as follows: After the delivery operation is carried out, the first dose is obtained through local soil sampling and real-time chemical testing, and the second dose is calculated based on the first dose to form a set of doses to be compared. Based on the updated parameters to be run, the recommended dosage is calculated using multi-factor fitting calculation rules. It provides a user interface to receive correction parameters input by users and fine-tune the recommended dosage.

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