An intelligent evaluation and repair system and method for polluted soil and water

Abstract

An intelligent evaluation and repair system and method for polluted soil and water. The system includes a monitoring and data collection module, a No. 1 decision maker, a cloud model recommendation module, a No. 2 decision maker, a No. 3 decision maker, a fixed-period regulation system, a variable-period regulation system, and a construction system. The output end of the monitoring and data collection module is connected to the input end of the No. 1 decision maker. The output end of the No. 1 decision maker is respectively connected to the input end of the cloud model recommendation system and the loop end port. The output end of the cloud model recommendation system is connected to the input end of the No. 2 decision maker. The output end of the No. 2 decision maker is respectively connected to the input ends of the No. 3 decision maker and the construction system. The purpose of the present invention is to solve the technical problems existing in the prior art that the repair processes and equipment are difficult to meet the major requirements of engineering and intelligence, the single construction period repair cycle, and the lack of intelligent control based on process evaluation, resulting in an overly rigid repair process.

Description

Technical Field

[0001] The present invention belongs to the technical field of environmental remediation, and particularly relates to an intelligent remediation system and method for soil and groundwater in contaminated sites. Background Art

[0002] With the acceleration of urbanization and industrialization, environmental pollution and ecological damage caused by volatile, semi-volatile, and non-volatile organic compounds such as polycyclic aromatic hydrocarbons and pesticides in the soil and groundwater of cities, industrial areas, and their surrounding areas have become increasingly serious. Systematically and deeply carrying out technical research and engineering practice on the remediation of organic contaminated soil and groundwater is an inevitable requirement for improving the level of environmental remediation technology.

[0003] In the prior art, the soil and water remediation technologies for contaminated sites are mainly divided into the following three categories: physical remediation technology, chemical remediation technology, and biological remediation technology. Physical remediation technology refers to the technology of removing or separating pollutants from the soil through various physical processes, mainly including thermal desorption technology, microwave heating technology, and steam extraction technology, all of which belong to thermal remediation technology and are mostly used for the remediation of organic contaminated soil; chemical remediation technologies mainly include soil solidification / stabilization technology, leaching technology, redox technology, photocatalytic degradation technology, and electrokinetic remediation technology; biological remediation technologies mainly include phytoremediation, microbial remediation, bioremediation, etc.

[0004] Due to the complex components of soil and water pollution in contaminated sites, relying solely on traditional remediation technologies or a single remediation technology can no longer achieve good results in treating soil (groundwater). However, using two or more remediation methods in combination to form a combined remediation technology can not only control and treat multiple pollutants, but also significantly accelerate the remediation progress, improve the remediation efficiency, save the remediation cost, and achieve the goals of rapid remediation, thorough remediation, and permanent remediation.

[0005] Internationally, developed countries and regions such as Europe, America, and Japan started research and practical work on soil and groundwater remediation in the 1970s of the 20th century. So far, a relatively complete theoretical, method, and technical system has been established, relevant technologies and equipment have been developed, large-scale engineering applications have been carried out, and a relatively complete technology integration and equipment industrialization system has been formed. In China, this research is still in its infancy. Current remediation work mostly directly uses or upgrades and transforms existing technologies from countries such as Europe and America, without forming a complete set of and complete soil and water remediation construction systems for contaminated sites. The integration and intelligence levels for the remediation of contaminated soil and groundwater are not high enough. Generally speaking, the following problems mainly exist:

[0006] (1) The existing repair processes and equipment are difficult to meet the major requirements of engineering and intelligence. The repair cycle of a single construction period lacks intelligent control based on process evaluation, making the repair process too rigid and the cost relatively high. (2) The traditional construction and repair processes are difficult to carry out simultaneously, resulting in poor controllability of the project schedule arrangement.

[0007] The patent document with the authorization announcement number CN104368592B discloses a periodic composite repair method for arsenic-contaminated soil, which mainly uses the electro-chemical repair method to treat the contaminated soil and determines whether the repair is completed or enters the next repair cycle according to the detection results after repair. The repair plan of this method is single and fixed, unable to make improvements according to the changes in operating conditions. The periodic cycle method only relies on the detection results for manual evaluation, relying too much on human experience and having a low degree of intelligence. The patent document with the authorization announcement number CN104368593A discloses a decaying periodic soil repair method, which successively applies water leaching, heavy metal leaching, electro-kinetic repair, organic matter leaching, and electro-kinetic repair to the soil area to be treated and repeats three repair cycles in sequence. At the same time, the leaching time and power-on time of each cycle decay according to the specified standards in sequence. The number of periodic repetitions and the decay standards of this method are fixed, with low repair efficiency, unable to adapt to soil repair in complex situations, and without dynamic feedback during the repair process. If the repair is completed before three cycles, it not only consumes manpower and material resources but also increases the cost.

[0008] In view of the above deficiencies, the applicant proposes a water and soil intelligent assessment and repair system and method. The present invention adopts a multi-cycle intelligent decision-making construction system, which can monitor the characteristics of soil and groundwater in the polluted site in real time, evaluate multiple alternative plans, obtain the optimal process plan, and can realize the synchronization of construction and repair, greatly reducing the construction period and repair cost. At the same time, it can adjust the repair cycle at any time according to the changes in construction conditions, making the water and soil repair of the polluted site flexible and efficient. The entire system has a high degree of intelligence, and through the integrated operation of "construction - repair - evaluation - improvement", it can ensure the stability and efficiency of the construction effect. Summary of the Invention

[0009] The purpose of the present invention is to provide a water and soil intelligent repair system and method for polluted sites to solve the technical problems existing in the prior art, such as the existing repair processes and equipment being difficult to meet the major requirements of engineering and intelligence, the single repair cycle of a construction period lacking intelligent control based on process evaluation, making the repair process too rigid, and the existing construction and repair processes being difficult to be carried out simultaneously, resulting in poor controllability of the project schedule arrangement.

[0010] To solve the above technical problems, the technical solution adopted by the present invention is as follows:

[0011] An intelligent soil and water assessment and restoration system and method, which includes a monitoring and data collection module, a No. 1 determiner, a cloud model recommendation module, a No. 2 determiner, a No. 3 determiner, a fixed-cycle regulation system, a variable-cycle regulation system, and a construction system;

[0012] The output end of the monitoring and data collection module is connected to the input end of the No. 1 determiner. The output end of the No. 1 determiner is respectively connected to the input end of the cloud model recommendation system and the loop end port. The output end of the cloud model recommendation system is connected to the input end of the No. 2 determiner. The output end of the No. 2 determiner is respectively connected to the input ends of the No. 3 determiner and the construction system. The output end of the No. 3 determiner is respectively connected to the input ends of the fixed-cycle intelligent regulation system and the variable-cycle intelligent regulation system. The output ends of the fixed-cycle intelligent regulation system and the variable-cycle intelligent regulation system are connected to the input end of the construction system. The output end of the construction system is respectively connected to the input ends of the cloud model recommendation system and the variable-cycle intelligent regulation system.

[0013] The monitoring and data collection module monitors the changes in the characteristics of the soil and groundwater in the polluted site during the construction process in real time and collects the data into the monitoring database;

[0014] The No. 1 determiner is responsible for standard comparison to judge whether the soil and water restoration of the polluted site is completed;

[0015] The cloud model recommendation system randomly generates multiple restoration plans based on the soil and water data of the polluted site and conducts comprehensive evaluation, and then obtains the optimal process plan suitable for the next stage;

[0016] The No. 2 determiner is used to judge whether the restoration plan is a multi-cycle restoration;

[0017] The No. 3 determiner is used to judge whether the restoration plan is a variable-cycle restoration;

[0018] The fixed-cycle intelligent regulation system is used to control the operation of the restoration equipment to ensure that the construction system can be stably executed according to the set cycle;

[0019] The variable-cycle intelligent regulation system is used to control the operation of the restoration equipment and adjust the restoration cycle at any time according to the construction conditions and predicted effects;

[0020] The construction system is used to carry out step-by-step excavation construction on the polluted site under the control of the cycle intelligent regulation system for the restoration equipment, and continuously feedback the restoration progress and the real-time status of the soil and water in the site.

[0021] When the intelligent soil and water restoration system for the polluted site is working,

[0022] The following steps are adopted:

[0023] Step 1: For the soil and water restoration area of the target polluted site, determine the initial target area and start the restoration process of the first stage;

[0024] Step 2: During the determination of the target area in the first stage, the real-time monitoring system continuously collects real-time data and filters historical data on multiple uncertain characteristics of the site, such as pollutant concentration, remediation efficiency, health risk level, system cost, and hydrogeological characteristics;

[0025] Step 3: Compare the characteristic data of the soil and groundwater in the polluted site with the standards to determine whether the degree of soil and water pollution in the site meets the standards:

[0026] If it meets the standards, the remediation is completed and the loop ends;

[0027] If it does not meet the standards, input the real-time data and historical data into the cloud model recommendation system and enter Step 4;

[0028] Step 4: The cloud model recommendation system collects the characteristic data of the soil and groundwater in the polluted site, evaluates the generated random schemes, and obtains the optimal process scheme suitable for this stage;

[0029] Step 5: The No. 2 determiner judges whether the remediation method of the scheme in this stage is multi-period;

[0030] If this stage is a single continuous remediation scheme, the construction system directly constructs according to the scheme recommended by the cloud model until the end of this stage and enters Step 11;

[0031] If this stage is a remediation scheme that requires multi-period control, enter Step 6;

[0032] Step 6: The No. 3 determiner judges whether the remediation period of the multi-period scheme is a variable period;

[0033] Step 7: If the remediation scheme in Step 6 is determined to be a fixed period, activate the fixed-period intelligent control system and enter Step 8;

[0034] Step 8: Various compensators embedded in the fixed-period intelligent control system control the operation of the remediation equipment to ensure that the construction system can be stably executed according to the set period and enter Step 11;

[0035] Step 9: If the remediation scheme in Step 6 is determined to be a variable period or the external interference is relatively large, activate the variable-period intelligent control system and enter Step 10;

[0036] Step 10: The intelligent control algorithm embedded in the variable-period control module controls the operation of the remediation equipment and adjusts the remediation period at any time according to the construction conditions and predicted effects until the remediation is completed and enter Step 11;

[0037] Step 11: While the remediation equipment is regulated for soil (groundwater) remediation, adopt the method of excavating and remediating simultaneously, carry out construction excavation and site soil and water remediation synchronously, and continuously feedback the remediation progress and the real-time status of the site soil and water until the end of this stage, and at the same time complete the determination of the target area before the next stage of remediation;

[0038] Step 12: The monitoring system and the cloud model recommendation system monitor the next-stage target area and recommend solutions, and repeat the above steps. Such a cycle continues until all the data related to the target area meets the preset values, and finally the intelligent remediation of the entire area of the contaminated site soil and groundwater is achieved.

[0039] In Step 4, the following sub-steps are included:

[0040] Step 4-1: The cloud model recommendation system uses information entropy and the cloud model evaluation model, and inputs the basic information of the contaminated site soil and groundwater (the size of the contaminated site, geological characteristics, groundwater hydrological characteristics, pollutant-related characteristics), site environmental standards, and pollutant parameters;

[0041] Step 4-2: According to the collected basic information, randomly generate 40 to 50 operation plans, and simulate the remediation effect under this plan;

[0042] Step 4-3: Conduct a comprehensive evaluation of different remediation plans to obtain the cloud model evaluation map of the remediation operation plan and the health risk level under different scenarios. According to the plan evaluation results, obtain the optimal process plan suitable for this stage and enter Step 5.

[0043] In Step 10, the following steps are included:

[0044] Step 10-1: The variable-cycle intelligent regulation system is started. According to the optimal process plan transmitted by the cloud model recommendation system, execute the embedded intelligent control algorithm to optimize the control of the optimal operation plan for the site soil and water remediation in this stage;

[0045] Step 10-2: The remediation equipment receives the optimal engineering parameters transmitted by the variable-cycle intelligent regulation system, and performs parameter control on the process parameters of the next cycle, thereby realizing variable-cycle control;

[0046] Step 10-3: During the construction process, the construction system can transmit the construction signal to the variable-cycle intelligent regulation system. The variable-cycle intelligent regulation system adjusts the remediation cycle at any time according to the construction conditions and the predicted effect, and feeds back to the construction system until the end of this stage.

[0047] In Step 10-2, when carrying out remediation construction according to the fixed-cycle or variable-cycle remediation plan, the following steps are adopted:

[0048] Step s1: The intelligent control system calculates the repair cycle according to the repair target and the empirical parameters of the mathematical models of each repair plan, and enters step s2;

[0049] Step s2: The repair equipment starts the repair task of the first cycle, and at the same time, the real-time monitoring system continuously observes the site information and enters step s3;

[0050] Step s3: When the first repair cycle ends, conduct model evaluation and model adjustment on the repair effect of the first cycle, enter step s1, and redesign the repair cycle.

[0051] In step 11, the following steps are included:

[0052] Step 11-1: After the first-phase repair plan and cycle type are determined, the construction system starts to operate, the repair equipment is regulated, and construction begins;

[0053] Step 11-2: Divide the soil into three layers. The soil depth of 0-4m is the first layer, the soil depth of 4-8m is the second layer, and the soil depth of 8-14m is the third layer. Each 10m in width is a strip, and the repair plan recommended by the cloud model is used for construction;

[0054] Step 11-3: Use an excavator to dig out the soil of 0-4m strip by strip, and then repair the contaminated soil in the area that has not been excavated in the repair shed. After curing, degradation, and passing the detection, the repaired soil is temporarily stored in the area outside the shed;

[0055] Step 11-4: When the excavation of the 0-4m soil retreats to a certain extent, at the same time, start to dig the soil in the 4-8m area vertically from the inside to the outside along the repair shed every 10m strip by strip. Following the principle of minimizing the transportation distance as much as possible, transport it to other areas in the shed for rapid repair. The repair method is the same as that for the 0-4m repair and disposal;

[0056] Step 11-5: When the excavation of the 4-8m area retreats to a certain extent, at the same time, repair the soil in the 8-14m area in the excavated area, and pump out the foundation pit sewage to the sewage treatment equipment for repair and disposal. The repair method is the same as that for the 0-4m repair and disposal;

[0057] Step 11-6: After the contaminated soil in the 4-8m and 8-14m areas of the same area is repaired, immediately backfill the repaired soil of 0-8m, and then level the site in this area. After all the contaminated soil of 0-14m in the shed is disposed of, take samples of the disposed soil for self-inspection;

[0058] Step 11-7: If the repair effect of the target repair area in this stage is not achieved, a new repair plan needs to be adopted again, and steps 4 to 11 are repeated to conduct a new round of repair on the target repair area in this stage; if the repair target in this stage is achieved, the target area selection before the next stage of repair is completed, and step 12 is entered.

[0059] In step 4-3, a cloud model control system is used to obtain the site environmental repair plan, and the following steps are specifically adopted:

[0060] Step 4-3-1: Set the relevant parameters of the alternative plan set for site soil and groundwater repair and the attribute set of the alternative plans.

[0061] Step 4-3-2: Normalize the relevant parameters obtained in step 1).

[0062] Step 4-3-3: Obtain the attribute weight value based on the cloud model, and represent the traditional nine scales with the cloud model.

[0063] Step 4-3-4: Calculate the attribute preference ability using the preference function.

[0064] Step 4-3-5: Combine the cloud model weights to calculate the ability of the alternative plan to be superior to the plan under the overall attributes.

[0065] Step 4-3-6: Integrate and calculate the positive flow and negative flow of each plan.

[0066] Step 4-3-7: Calculate the net flow size of each plan based on the cloud model to obtain the complete ranking.

[0067] Step 4-3-8: Generate a number of cloud droplets by the cloud model through the cloud computer and statistical simulation methods.

[0068] Step 4-3-9: Calculate the score value corresponding to the cloud droplets of the cloud model.

[0069] Step 4-3-10: Repeat steps 8) to 9) several times to obtain the mathematical expectations or medians of several groups of cloud models.

[0070] Step 4-3-11: Calculate the average of the mathematical expectations or medians of several groups of cloud models, and use these two values as the total score values. The plan with the highest value will be rated as the best plan.

[0071] Compared with the prior art, the present invention has the following technical effects:

[0072] 1) As Figure 1As shown in the figure, the present invention adopts a real-time monitoring system, which can conduct real-time monitoring and data collection on the characteristics of soil and groundwater in the polluted site during the remediation process, so as to select the remediation plan for the next stage and regulate the remediation cycle; the cloud model recommendation module can comprehensively evaluate multiple alternative plans by using the cloud model evaluation system according to the monitoring data of the previous stage or time node, obtain the optimal process plan suitable for the next working stage, and realize the reasonable screening of alternative plans through a mathematical model, which can provide decision-making support and assistance for decision-makers and effectively reduce construction costs; the variable-cycle intelligent control system is adopted, and based on the best plan recommended by the cloud model and the pollution situation of the site, the optimal control plan is determined and variable-cycle intelligent regulation is realized, which can effectively reduce resource waste and improve the remediation efficiency. When dealing with the remediation problems of soil and groundwater in polluted sites under complex conditions, the present invention can make the site soil and water remediation faster and more efficient through a multi-cycle intelligent decision-making construction system of "multiple plan evaluation - cycle intelligent regulation - staged backhoe construction";

[0073] 2) As Figure 3 shown in the figure, the cloud model control system adopted by the present invention considers the weights of the attributes of alternative plans in the comprehensive evaluation process, introduces the cloud model theory into the traditional analytic hierarchy process, obtains the attribute weight values through the improved analytic hierarchy process based on the cloud model scale, then introduces the preference function, and further solves to obtain the net flow (comprehensive priority value) size of each plan based on the cloud model to obtain the complete ranking of alternative plans for the remediation of polluted soil (groundwater). The cloud model control system adopted by the present invention can better reflect the subjective ranking of decision-makers on the importance of plan attributes;

[0074] 3) The construction method adopted by the present invention uses the staged backhoe construction technology, repairs while backhoe construction, and synchronously carries out construction excavation and site remediation, which greatly speeds up the construction progress and overcomes the bottlenecks of long remediation cycles, high construction costs, and difficult synchronous construction and remediation of traditional processes;

[0075] 4) The present invention has an automatic regulation function, which will optimize the remediation plan in a timely manner according to various real-time states, construction conditions, and remediation costs of the site, dynamically evaluate the remediation effect of the previous stage or a certain time node, and make a dynamic response according to the quality of the evaluation result, so as to propose a new adjusted remediation decision plan. Through this closed-loop feedback approach, an intelligent decision-making process integrating dynamic evaluation, cyclic feedback, and real-time control can be realized;

[0076] 5) Through the integrated operation of "construction - remediation - evaluation - improvement" of the present invention, the stability and efficiency of the construction effect can be guaranteed;

[0077] 6) The entire system of the present invention has a high degree of intelligence, and the construction cycle can be intelligently regulated, making the remediation efficient and with good results. Description of the Drawings

[0078] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0079] Figure 1 is a flow chart of the present invention;

[0080] Figure 2 is a flow chart of the variable cycle repair scheme in the present invention;

[0081] Figure 3 is a flow chart of the use of the cloud model control system in the present invention. Specific embodiments

[0082] As Figure 1 shown, a pollution soil and water intelligent evaluation and repair system and method includes a monitoring and data collection module 1, a first discriminator 2, a cloud model recommendation module 3, a second discriminator 4, a third discriminator 5, a fixed cycle regulation system 6, a variable cycle regulation system 7, and a construction system 8;

[0083] The output end of the monitoring and data collection module 1 is connected to the input end of the first discriminator 2. The output end of the first discriminator 2 is respectively connected to the input end of the cloud model recommendation system 3 and the loop end port. The output end of the cloud model recommendation system 3 is connected to the input end of the second discriminator 4. The output end of the second discriminator 4 is respectively connected to the input ends of the third discriminator 5 and the construction system 8. The output end of the third discriminator 5 is respectively connected to the input ends of the fixed cycle intelligent regulation system 6 and the variable cycle intelligent regulation system 7. The output ends of the fixed cycle intelligent regulation system 6 and the variable cycle intelligent regulation system 7 are connected to the input end of the construction system 8. The output end of the construction system 8 is respectively connected to the input ends of the cloud model recommendation system 3 and the variable cycle intelligent regulation system 7.

[0084] The monitoring and data collection module 1 monitors the changes in the characteristics of the soil and groundwater in the polluted site during the construction process in real time and collects the data into the monitoring database;

[0085] The first discriminator 2 is responsible for standard comparison to determine whether the soil and groundwater in the polluted site have been repaired;

[0086] The cloud model recommendation system 3 randomly generates multiple repair schemes based on the data of the soil and groundwater in the polluted site and conducts a comprehensive evaluation, and then obtains the optimal process scheme suitable for the next stage;

[0087] The second discriminator 4 is used to determine whether the repair scheme is a multi-cycle repair;

[0088] The third discriminator 5 is used to determine whether the repair scheme is a variable cycle repair;

[0089] The fixed cycle intelligent regulation system 6 is used to control the operation of the repair equipment to ensure that the construction system can be stably executed according to the set cycle;

[0090] The variable-cycle intelligent control system 7 is used to control the operation of the repair equipment and adjust the repair cycle at any time according to the construction conditions and predicted effects;

[0091] The construction system 8 is used to carry out step-by-step excavation construction on the polluted site under the control of the cycle intelligent control system for the repair equipment, and continuously feedback the repair progress and the real-time conditions of the soil and water in the site.

[0092] When a polluted soil and water intelligent assessment and repair system is working,

[0093] The following steps are adopted:

[0094] Step 1: For the soil and water repair area of the target polluted site, determine the initial target area and start the first-stage repair process;

[0095] Step 2: During the determination of the target area in the first stage, the real-time monitoring system continuously collects real-time data and filters historical data on multiple uncertainty characteristics of the pollutant concentration, repair efficiency, health risk level, system cost, and hydrogeological characteristics of the site;

[0096] Step 3: Compare the soil and groundwater characteristic data of the polluted site with the standards to judge whether the degree of soil and water pollution in the site meets the standards:

[0097] If it meets the standards, the repair is completed and the cycle ends;

[0098] If it does not meet the standards, input the real-time data and historical data into the cloud model recommendation system and enter Step 4;

[0099] Step 4: The cloud model recommendation system collects the soil and groundwater characteristic data of the polluted site, evaluates the generated random schemes, and obtains the optimal process scheme suitable for this stage;

[0100] Step 5: The No. 2 discriminator judges whether the repair method of the scheme in this stage is multi-cycle:

[0101] If this stage is a single continuous repair scheme, the construction system directly constructs according to the scheme recommended by the cloud model until the end of this stage and enters Step 11;

[0102] If this stage is a repair scheme that requires multi-cycle control, enter Step 6;

[0103] Step 6: The No. 3 discriminator judges whether the repair cycle of the multi-cycle scheme is a variable cycle;

[0104] Step 7: If the repair scheme in Step 6 is judged to be a fixed cycle, activate the fixed-cycle intelligent control system and enter Step 8;

[0105] Step 8: All kinds of compensators embedded in the fixed-cycle intelligent control system control the operation of the repair equipment to ensure that the construction system can be stably executed according to the set cycle, and enter Step 11;

[0106] Step 9: If the repair plan in Step 6 is determined to be a variable cycle or the external interference is relatively large, then activate the variable-cycle intelligent control system and enter Step 10;

[0107] Step 10: The intelligent control algorithm embedded in the variable-cycle control module controls the operation of the repair equipment, and adjusts the repair cycle at any time according to the construction conditions and predicted effects until the repair is completed, and enter Step 11;

[0108] Step 11: While the repair equipment is regulated to carry out soil (groundwater) repair, adopt the method of excavating and repairing simultaneously, synchronously carry out construction excavation and site soil and water repair, and continuously feedback the repair progress and the real-time situation of the site until the end of this stage, and at the same time complete the determination of the target area before the next stage of repair;

[0109] Step 12: The monitoring system and the cloud model recommendation system monitor and recommend plans for the next-stage target area, and repeat the above steps, so as to cycle until all the data related to the target area meet the preset values, and finally realize the intelligent repair of the entire area of the polluted site.

[0110] In Step 4, the following sub-steps are included:

[0111] Step 4-1: The cloud model recommendation system adopts the information entropy and cloud model evaluation model, and inputs the basic information of the soil and groundwater of the polluted site (the size of the polluted site, geological characteristics, groundwater hydrological characteristics, pollutant-related characteristics), site environmental standards and pollutant parameters;

[0112] Step 4-2: According to the collected basic information, randomly generate 40 to 50 groups of operation plans, and simulate their repair effects under this plan;

[0113] Step 4-3: Conduct a comprehensive evaluation of different repair plans to obtain a cloud model evaluation map of the repair operation plan and health risk level under different scenarios. According to the plan evaluation results, obtain the optimal process plan suitable for this stage and enter Step 5.

[0114] In Step 10, the following steps are included:

[0115] Step 10-1: The variable-cycle intelligent control system is started. According to the optimal process plan transmitted by the cloud model recommendation system, execute the intelligent control algorithm embedded in it to optimize and control the optimal operation plan for the site soil and water repair at this stage;

[0116] Step 10-2: The repair device receives the optimal engineering parameters transmitted by the variable-cycle intelligent control system, controls the process parameters for the next cycle, and thus realizes variable-cycle control;

[0117] Step 10-3: During the construction process, the construction system can transmit construction signals to the variable-cycle intelligent control system. The variable-cycle intelligent control system adjusts the repair cycle according to construction conditions and predicted effects at any time and feeds back to the construction system until the end of this stage.

[0118] In Step 10-2, when performing repair construction according to a fixed-cycle or variable-cycle repair plan, the following steps are adopted:

[0119] Step s1: The intelligent control system calculates the repair cycle according to the repair target and the empirical parameters of the mathematical models of each repair plan, and enters Step s2;

[0120] Step s2: The repair device starts the repair task for the first cycle, and at the same time the real-time monitoring system continuously observes the site information and enters Step s3;

[0121] Step s3: When the first repair cycle is completed, perform model evaluation and model adjustment on the repair effect of the first cycle, enter Step s1, and redesign the repair cycle.

[0122] In Step 11, the following steps are included:

[0123] Step 11-1: After the repair plan and cycle type for the first stage are determined, the construction system starts to operate, the repair device is regulated, and construction begins;

[0124] Step 11-2: Divide the soil into three layers. The soil depth of 0-4m is the first layer, the soil depth of 4-8m is the second layer, and the soil depth of 8-14m is the third layer. Each 10m in width is a strip, and the repair plan recommended by the cloud model is used for construction;

[0125] Step 11-3: Use an excavator to dig out the soil of 0-4m strip by strip, and then repair the contaminated soil in the non-excavated area in the repair shed. After curing, degrading, and passing the detection, the repaired soil is temporarily stored in the area outside the shed;

[0126] Step 11-4: When the excavation of the 0-4m soil reaches a certain extent, at the same time, start to dig the soil in the 4-8m area vertically from the inside to the outside along each 10m strip in the repair shed. In principle of minimizing the transportation distance, transport it to other areas in the shed for rapid repair. The repair method is the same as that for the 0-4m repair and disposal;

[0127] Step 11-5: Excavate and retreat by 4 - 8m to a certain extent. At the same time, repair the soil in the 8 - 14m area in the excavated area, and pump out the foundation pit sewage to the sewage treatment equipment for repair and disposal. The repair method is the same as that for the 0 - 4m repair and disposal;

[0128] Step 11-6: After the contaminated soil in the 4 - 8m and 8 - 14m areas of the same area is repaired, immediately backfill the repaired soil, and then level the site in this area. After all the contaminated soil in the 0 - 14m area in the greenhouse is disposed of, take samples of the disposed soil for self-inspection;

[0129] Step 11-7: If the target repair area in this stage does not reach the repair effect, a new repair plan needs to be adopted again, and repeat Steps 4 to 11 to conduct a new round of repair on the target repair area in this stage; if the repair target in this stage is achieved, select the target area before the next stage of repair and enter Step 12.

[0130] In Step 4-3, a cloud model control system is used to obtain the site soil and groundwater environment repair plan, and the following steps are specifically adopted:

[0131] Step 4-3-1: Set the relevant parameters of the site soil and groundwater repair alternative plan set and the attribute set of the alternative plans;

[0132] Step 4-3-2: Normalize the relevant parameters obtained in Step 1);

[0133] Step 4-3-3: Obtain the attribute weight value based on the cloud model, and represent the traditional nine scales with the cloud model;

[0134] Step 4-3-4: Calculate the attribute preference ability using the preference function;

[0135] Step 4-3-5: Combine the cloud model weights to calculate the ability of the alternative plan to be superior to the plan under the overall attribute;

[0136] Step 4-3-6: Integrate and calculate the positive flow and negative flow of each plan;

[0137] Step 4-3-7: Calculate the net flow size of each plan based on the cloud model to obtain the complete ranking;

[0138] Step 4-3-8: Generate a number of cloud droplets through the cloud computer and statistical simulation method using the cloud model;

[0139] Step 4-3-9: Calculate the score value of the cloud droplets corresponding to the cloud model;

[0140] Step 4-3-10: Repeat Steps 8) to 9) several times to obtain the mathematical expectations or medians of several groups of cloud models;

[0141] Step 4-3-11: Calculate the average of the mathematical expectations or medians of several groups of cloud models, and use these two values as the total scores. The solution with the highest value will be rated as the best solution.

[0142] To facilitate better understanding of the present invention by those of ordinary skill in the art, further explanations and descriptions are as follows:

[0143] The repair system in the present invention includes a real-time monitoring and data collection module, a cloud model recommendation module, an intelligent control module, and a smart construction module. The control method adopts a solution evaluation based on the cloud model and an equipment control method based on a variable cycle. At the same time, our construction system adopts a heterogeneous-multi-medium soil layered and stepped back-digging construction combined with variable cycle intelligent control.

[0144] The main operation mechanism of this technology is as follows:

[0145] (1) First, in combination with the pre-investigation data of the contaminated site soil and groundwater, determine the initial repair target area.

[0146] (2) During the determination of the target area in the first stage, the monitoring system continuously conducts real-time data collection and historical data filtering on multiple uncertainty characteristics of the site, such as pollutant concentration, repair efficiency, health risk level, system cost, hydrogeological characteristics, etc. Input the real-time data and historical data into the cloud model recommendation system. The cloud model evaluation system adopts information entropy and the cloud model evaluation model. By inputting the basic information of the contaminated site soil and groundwater (the size of the contaminated site, geological characteristics, groundwater hydrogeological characteristics, pollutant-related characteristics), site environmental standards, and pollutant parameters, randomly generate 40-50 groups of operation solutions, and simulate their repair effects under this solution. Through comprehensive evaluation of different repair solutions, obtain the cloud model evaluation diagrams of the repair operation solutions and health risk levels under different scenarios, and then obtain the optimal process solution suitable for the target repair area in this stage.

[0147] (3) If it is a single continuous repair solution, the construction system directly constructs according to the solution recommended by the cloud model until the completion of the stage construction task. If a repair solution that requires multi-cycle control is needed, the variable cycle control system, according to the optimal process solution transmitted by the cloud evaluation system and the current repair conditions, mobilizes the embedded variable cycle control sub-module to optimize the control of the optimal operation solution for the industrial site repair in this stage. The specific control solution: If it is a fixed-cycle repair solution, mobilize the fixed-cycle intelligent control module to control the construction system to ensure that the construction system can be stably executed according to the set cycle. If it is a variable-cycle repair solution or the external interference is large, mobilize the variable-cycle intelligent control module. The variable-cycle control module is embedded with an intelligent control algorithm, which can adjust the repair cycle at any time according to the construction conditions and predicted effects until the completion of the stage repair.

[0148] (4) While the control system controls the repair equipment, adopt the method of repairing while excavating backward, synchronously carry out construction excavation and site soil and water repair, and continuously feedback the repair progress and the real-time situation of the site soil and water until the repair goal of this stage is completed, and at the same time complete the selection of the target area before the next stage of repair.

[0149] (5) Then carry out a new cycle of repair, and so on. Finally, realize the intelligent repair of the soil and water in the polluted site.

[0150] Generally speaking, this repair method includes three cycles: the first large cycle judges whether the repair is completed, whether it is necessary to continue to repair new target areas, and at the same time monitors whether the construction system can operate well; the second cycle is used for the selection of phased repair plans. If the repair effect is not achieved in the phased repair goal, that is, a new repair plan needs to be adopted again, and the cloud model feeds back according to the monitoring information and construction conditions, and conducts a new round of repair; the third small cycle is the cycle between the construction system and the variable-cycle intelligent control system. If the variable-cycle model is adopted in a single repair stage, the variable-cycle intelligent repair system adjusts the cycle frequency in a timely manner according to the construction process.

[0151] In terms of the multi-source data input of the present invention: monitoring indicators (types and contents of heavy metals, types and contents of organic pollutants, detection time, distribution range of pollution plume, groundwater level, soil moisture content, redox potential and pH value changes), working conditions (temperature, pressure, flow rate), construction process (excavation volume, repair volume, construction process)

[0152] The present invention refers to more, richer and more comprehensive data information during monitoring and recording, mainly including three aspects: (1) the original information of the polluted site soil and groundwater including soil (groundwater) type, soil (groundwater) temperature / humidity, soil (groundwater) physical and chemical properties, soil (groundwater) environmental information, etc., (2) various pollutant monitoring information in soil and groundwater from the real-time monitoring subsystem, and (3) the construction process information changed after phased repair. The three types of information need to be input into the real-time monitoring subsystem and jointly used as the basis for scheme decision-making and are indispensable for the operation of the subsequent decision control module.

[0153] In terms of the cloud model scheme decision-making system of the present invention, as Figure 3 shown:

[0154] The cloud model decision-making module will evaluate the health risks of pollutants at the previous stage or a certain time node according to various input information such as the change of pollutant concentration, and according to the new health risks and cost constraints, conduct a new round of random simulation prediction and scoring evaluation on the new round of repair plan, and propose a new repair decision plan after adjustment.

[0155] The specific implementation process is as follows:

[0156] The steps of the decision-making model are as follows:

[0157] (1) Let the set of alternative site soil and water remediation plans for the multi-attribute decision-making problem under the x repair cycle be P = {P x1 , …, P xi , …, P xu}, where u is the number of alternative plans. Let the set of attributes of each alternative plan be Q = {Q x1 , …, Q xj , …, Q xv}, where v is the number of attributes. Let the attribute value corresponding to the alternative plan P xi ∈ P under the attribute Q xj ∈ Q be PQ xij , where PQ xij ≥ 0.

[0158] (2) Normalize the mixed attribute values. Determine that the number PQ xij is normalized to KGPQ xij , and the cloud model is normalized to The attributes are all cost-type attributes, that is, the smaller the value, the more favorable it is for the decision ranking.

[0159]

[0160] In the formula: x is the repair cycle, i is the subscript of a certain alternative site soil and water remediation plan, j is the subscript of a certain attribute of the alternative plan, and u is the number of alternative plans; PQ xij is the attribute value corresponding to the site soil and water remediation alternative plan P i under the attribute Q j in the x repair cycle; is the sum of the attribute values corresponding to the u site soil and water remediation alternative plans under the attribute Q j in the x repair cycle; KGPQ xij is the representation form after the definite number attribute value PQ xij is normalized.

[0161]

[0162] In the formula: is the attribute cloud model corresponding to the plan P j under the attribute Q i in the x repair cycle; E(X) xij is the characteristic value of the attribute cloud model - expectation; Nu xij is the characteristic value of the attribute cloud model - entropy; Rg xij is the characteristic value of the attribute cloud model - hyperentropy.

[0163]

[0164] In the formula: is the cloud model The normalized representation form; KGE(X) xij is the expected value E(X) of the cloud model xij The normalized representation form; KGNu xij is the entropy Nu of the cloud model xij The normalized representation form; KGRg xij is the hyper-entropy Rg of the cloud model xij The normalized representation form.

[0165] (3) The attribute weights of each attribute Q = {Q x1 , …, Q xj , …, Q xv} are set as The weights can be determined according to the consistency of expert judgment. Each weight value that can reflect the relative importance of the attribute is expressed as The pairwise comparison matrix is judged by the improved analytic hierarchy process based on the cloud model scale, and the attribute weight value based on the cloud model is obtained. The traditional nine scales are represented by the cloud model, and the expected values of each scale are {1, 2, …, 9}. For pairwise comparison, {1, 3, 5, 7, 9} represent equally important, slightly important, significantly important, strongly important, and extremely important respectively. Compared with {2, 4, 6, 8}, these five levels {1, 3, 5, 7, 9} are relatively easier to judge. Therefore, the former has more uncertainty than the latter, manifested as the entropy and hyper-entropy of the former being higher than those of the latter.

[0166] (4) The preference function B(PQ xij , PQ xi’j ) is used to calculate the attribute preference ability. B(PQ xij , PQ xi’j ) is a positive non-decreasing preference function. This function represents the ability of the alternative P xi to be superior to the alternative P xj under the attribute Q xi’ .

[0167]

[0168] In the formula: i' is the subscript of a certain alternative for soil and water remediation at a site different from i; B(PQ xij , PQ xi′j ) is the preference function, representing the ability of the alternative P xi to be superior to the alternative P xj under the attribute Q xi' ; PQ xijFor the site soil and water remediation alternative P under the x repair cycle i Under the attribute Q j The corresponding attribute value; PQ xi′j For the site soil and water remediation alternative P under the x repair cycle i' Under the attribute Q j The corresponding attribute value; KGPQ xij For the determined number attribute value PQ xij The normalized representation form; KGPQ xi′j For the determined number attribute value PQ xi′j The normalized representation form.

[0169]

[0170] In the formula: For the attribute cloud model of alternative P under attribute Q j in the x repair cycle i The corresponding one; For the attribute cloud model of alternative P under attribute Q j in the x repair cycle i′ The corresponding one; For the cloud model The normalized representation form; Indicating the cloud model The normalized representation form.

[0171]

[0172] In the formula: KGE(X) xij Is the expectation E(X) of the cloud model xij The normalized representation form; KGNu xij Is the entropy Nu of the cloud model xij The normalized representation form; KGRg xij Is the hyperentropy Rg of the cloud model xij The normalized representation form; KGE(X) xi′j Is the expectation E(X) of the cloud model xi′j The normalized representation form; KGNu xi′j Is the entropy Nu of the cloud model xi′j The normalized representation form; KGRg xi′j Is the hyperentropy Rg of the cloud model xi′j The normalized representation form.

[0173]

[0174]

[0175] Among them Indicates the distance between two clouds and ; and are the distances between cloud and and the ideal cloud respectively; Indicates the possibility that cloud is greater than ; Indicates the ideal cloud between two clouds and .

[0176] (5) Combine the cloud model weights to calculate the ability π(P xi is superior to plan P xi’ under the overall attributes xi , P xi′ ).

[0177]

[0178] In the formula: π(P xi , P xi′ ) is the ability of alternative plan P xi to be superior to plan P xi′ under the overall attributes after combining the cloud model weights; v is the number of attributes; is the weight of attribute Q j at the x repair cycle; zE(X) xj , zNu xj , zRg xj represent the weight values of the indicators - expectation, entropy, and hyperentropy that reflect the relative importance of attribute Q j .

[0179] (6) Calculate the positive flow (outflow) λ + (P xi ) and the negative flow (inflow) λ - (P xi ) for each plan through integration. λ + (P xi ) represents the ability of plan P xi to be superior to the other plans. The larger this value, the more ideal plan P xi is; λ - (P xi ) represents the ability of plan P xi to be inferior to the other plans. The smaller this value, the more ideal plan P xi is.

[0180]

[0181] In the formula: E(X) xij _λ+ (P xi ) is the positive flow (outflow) of the expected value E(X); Nu xij _λ xij _λ + (P xi ) is the positive flow (outflow) of the entropy Nu xij _λ xij _λ + (P xi ) is the positive flow (outflow) of the hyper-entropy Rg xij .

[0182]

[0183] Where: E(X) xij _λ + (P xi ) is the negative flow (inflow) of the expected value E(X); Nu xij _λ xij _λ + (P xi ) is the negative flow (inflow) of the entropy Nu xij _λ xij _λ + (P xi ) is the negative flow (inflow) of the hyper-entropy Rg xij .

[0184] (7) Calculate the net flow (comprehensive priority value) λ(P xi ) of each solution based on the cloud model to obtain a complete ranking. λ(P xi ) can quantify the ranking position of the solution among all alternative solutions. The higher λ(P xi ) is, the more attractive the solution P xi .

[0185]

[0186] (8) Generate 10,000 cloud droplets from the cloud model λ(P xi ) through a cloud computer and a statistical simulation method.

[0187] (9) Calculate the score value l = ya of the cloud droplet (y, a) corresponding to λ(P xi ). The mathematical expectation or median of the score value l is called the score value of λ(P xi ).

[0188] (10) Repeat steps 8 - 9 twenty times to obtain the mathematical expectation xi or median of twenty groups of λ(P

[0189] (11) Calculate the mathematical expectation of 20 groups of λ(P xi ) or the median of the average value, and use these two values as the total score, denoted as l xi or l mid_xi respectively. The solution with the highest l xi or l mid_xi will be rated as the best solution.

[0190] Regarding the variable-cycle intelligent control system, as Figure 2 shown,

[0191] The control implementation system determines the pollution type, the best solution recommended by the cloud model, and determines the optimal control solution according to the site investigation situation until the stage repair goal is completed. The system includes a dual intelligent control system. If it is a fixed-cycle repair plan, the intelligent fixed-cycle control module is mobilized, and various compensators are embedded, which can control the construction system to ensure that the construction system can be stably executed according to the set cycle. If it is a variable-cycle repair plan or the external interference is large, the variable-cycle intelligent control module is mobilized. The variable-cycle control module is embedded with an intelligent control algorithm, which can adjust the repair cycle at any time according to the actual construction conditions and the model prediction effect until the stage repair is completed. If the generated solution is still not ideal after running for a stage (for example, the repair goal is not achieved), its evaluation result will be re-fed back to the cloud model decision system, and the cloud model solution selector will generate a new stage of repair decision solution for remedy, and design a new round of solution execution plan. Through this closed-loop cyclic feedback approach, an intelligent decision-making process integrating dynamic evaluation, cyclic feedback, and real-time control is realized.

[0192] The construction method adopted by the present invention is:

[0193] During the actual repair process, construction requirements often involve multiple stages and tasks, and a stepped excavation-backfilling construction method is adopted: First, the soil is divided into three layers. Among them, the soil layer with a depth of 0 - 4m is the first layer, the soil layer with a depth of 4 - 8m is the second layer, and the soil layer with a depth of 8 - 14m is the third layer, with each 10m width as one strip. First, use an excavator to dig out the soil in each strip of the 0 - 4m layer. Then, add medicine and screen the contaminated soil in the undug area inside the repair greenhouse. After curing, degradation, and passing the detection, the repaired soil is temporarily stored in the area outside the greenhouse. After the excavation of the 0 - 4m soil reaches a certain extent, start to dig the soil in the 4 - 8m area vertically along each 10m strip of the repair greenhouse from the inside out. In principle of minimizing the transportation distance, transport it to other areas inside the greenhouse for rapid repair. The repair method is the same as that for the 0 - 4m layer. After the excavation of the 4 - 8m layer reaches a certain extent, at the same time, repair the soil in the 8 - 14m area in the excavated area, and pump out the foundation pit sewage to the sewage treatment equipment for repair and disposal. After that, the three layers of soil can be repaired in a stepped manner simultaneously, greatly accelerating the construction progress. After the repair of the contaminated soil in the 4 - 8m and 8 - 14m areas of the same area is completed, immediately backfill the repaired soil, and then level the site in this area. After all the contaminated soil in the 0 - 14m area inside the greenhouse is disposed of, and after the self-inspection of the sampled disposed soil is qualified, start the repair of the next area inside the greenhouse.

Claims

1. An intelligent evaluation and repair system for polluted soil and water, characterized in that, It includes a monitoring and data collection module (1), a No. 1 determiner (2), a cloud model recommendation module (3), a No. 2 determiner (4), a No. 3 determiner (5), a fixed-cycle intelligent regulation system (6), a variable-cycle intelligent regulation system (7), and a construction system (8); the monitoring and data collection module (1) consists of a real-time monitoring system and a monitoring database; the cloud model recommendation module (3) consists of a cloud model recommendation system and an alternative solution library; The output end of the monitoring database is connected to the input end of the No. 1 determiner (2), the output end of the No. 1 determiner (2) is respectively connected to the input end of the cloud model recommendation system and the loop end port, the output end of the cloud model recommendation system is connected to the input end of the No. 2 determiner (4), the output end of the No. 2 determiner (4) is respectively connected to the input ends of the No. 3 determiner (5) and the construction system (8), the output end of the No. 3 determiner (5) is respectively connected to the input ends of the fixed-cycle intelligent regulation system (6) and the variable-cycle intelligent regulation system (7), the output ends of the fixed-cycle intelligent regulation system (6) and the variable-cycle intelligent regulation system (7) are connected to the input end of the construction system (8), and the output end of the construction system (8) is respectively connected to the input ends of the cloud model recommendation system and the variable-cycle intelligent regulation system (7); The real-time monitoring system monitors the changes in the characteristics of the contaminated site soil and groundwater during the construction process in real time and collects the data into the monitoring database; The No. 1 determiner (2) is responsible for standard comparison to judge whether the contaminated site soil and groundwater have been repaired; The cloud model recommendation system randomly generates multiple repair plans based on the contaminated site soil and groundwater data and conducts a comprehensive evaluation, and then obtains the optimal process plan suitable for the next stage; The No. 2 determiner (4) is used to judge whether the repair plan is a multi-cycle repair; The No. 3 determiner (5) is used to judge whether the repair plan is a variable-cycle repair; The fixed-cycle intelligent regulation system (6) is used to control the operation of the repair equipment to ensure that the construction system is stably executed according to the set cycle; The variable-cycle intelligent regulation system (7) is used to control the operation of the repair equipment and adjust the repair cycle at any time according to the construction conditions and predicted effects; The construction system (8) is used to carry out stepped backhoe construction on the contaminated site under the regulation of the fixed-cycle intelligent regulation system (6) and the variable-cycle intelligent regulation system (7) for the repair equipment, and continuously feedback the repair progress and the real-time status of the site soil and water.

2. The system according to claim 1, wherein When the soil and water intelligent evaluation and repair system is working, the following steps are adopted: Step 1: For the soil and water repair area of the target contaminated site, determine the initial target area and start the repair process of the first stage; Step 2: During the determination of the target area in the first stage, the real-time monitoring system continuously collects real-time data and filters historical data on multiple uncertain characteristics of the site, such as pollutant concentration, repair efficiency, health risk level, system cost, and hydrogeological characteristics; Step 3: Compare the contaminated site soil and groundwater characteristic data with the standard to judge whether the degree of soil and water pollution meets the standard: If it meets the standard, the repair is completed and the loop ends; If it does not meet the standard, input the real-time data and historical data into the cloud model recommendation system and enter Step 4; Step 4: The cloud model recommendation system collects the characteristic data of the soil and groundwater in the contaminated site, evaluates the generated random solutions, and obtains the optimal process solution suitable for this stage; Step 5: The No. 2 determiner judges whether the remediation method of the solution in this stage is multi-periodic: If this stage is a single continuous remediation solution, the construction system directly constructs according to the solution recommended by the cloud model recommendation system until the end of this stage, and enters Step 11; If this stage is a remediation solution that requires multi-period control, enter Step 6; Step 6: The No. 3 determiner judges whether the remediation period of the multi-period solution is a variable period; Step 7: If the remediation solution in Step 6 is determined to be a fixed period, activate the fixed-period intelligent control system and enter Step 8; Step 8: Various compensators embedded in the fixed-period intelligent control system control the operation of the remediation equipment to ensure that the construction system can be stably executed according to the set period, and enter Step 11; Step 9: If the remediation solution in Step 6 is determined to be a variable period or the external interference is relatively large, activate the variable-period intelligent control system and enter Step 10; Step 10: The intelligent control algorithm embedded in the variable-period intelligent control system controls the operation of the remediation equipment and adjusts the remediation period at any time according to the construction conditions and predicted effects until the remediation is completed, and enter Step 11; Step 11: While the remediation equipment is regulated for soil remediation, adopt the method of excavating and remediating simultaneously, carry out construction excavation and site soil and water remediation synchronously, and continuously feedback the remediation progress and the real-time status of the site soil and water until the end of this stage, and at the same time complete the determination of the target area before the next stage of remediation; Step 12: The real-time monitoring system and the cloud model recommendation system monitor the next-stage target area and recommend solutions, and repeat the above steps. In this way, the cycle continues until all the data related to the target area meet the preset values, and finally the intelligent remediation of the entire area of the contaminated site soil and groundwater is realized.

3. The system according to claim 2, wherein In Step 4, the following sub-steps are included: Step 4-1: The cloud model recommendation system uses information entropy and the cloud model evaluation model by inputting the basic information of the soil and groundwater in the contaminated site, the site environmental standards, and the pollutant parameters; Step 4-2: According to the collected basic information, randomly generate 40 to 50 groups of operation solutions, and simulate their remediation effects under this solution; Step 4-3: Conduct a comprehensive evaluation of different remediation solutions to obtain the cloud model evaluation map of the remediation operation solutions and the health risk level under different scenarios. According to the solution evaluation results, obtain the optimal process solution suitable for this stage, and enter Step 5.

4. The system according to claim 3, wherein In Step 10, the following steps are included: Step 10-1: The variable-period intelligent control system is activated. According to the optimal process solution transmitted by the cloud model recommendation system, execute the embedded intelligent control algorithm to optimize and control the optimal process solution for the site soil and water remediation in this stage; Step 10-2: The remediation equipment receives the optimal process parameters transmitted by the variable-period intelligent control system, controls the process parameters for the next cycle, and thus realizes variable-period control; Step 10-3: During the construction process, the construction system transmits construction signals to the variable-cycle intelligent regulation system. The variable-cycle intelligent regulation system adjusts the repair cycle at any time according to the construction conditions and predicted effects, and feeds back to the construction system until the end of this stage.

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