A multi-technology integrated soil remediation process simulation optimization platform

Abstract

The application discloses a kind of multi-technology complexing soil remediation process simulation optimization platform, comprising: data acquisition module: for collecting soil data, environmental data and real-time monitoring data;Data management and storage module: for storing soil data, environmental data and real-time monitoring data;Process simulation module: for establishing repair process model based on soil data and environmental data, and timely adjusting repair scheme based on real-time monitoring data.The application integrates multiple repair technologies, improves the flexibility and adaptability of the system, realizes rapid deployment and adjustment, simplifies maintenance and operation process, and ensures efficient and reliable application in different environments.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of process simulation, and more particularly to a multi-technology integrated soil remediation process simulation optimization platform. BACKGROUND

[0002] Soil pollution is a serious environmental problem worldwide, having a profound impact on ecosystems, agricultural production, and human health. Pollution sources include industrial emissions, agricultural fertilizer and pesticide use, waste disposal, etc. The types of pollutants in the soil are diverse, such as heavy metals (lead, cadmium, mercury), organic pollutants (petroleum hydrocarbons, pesticide residues), radioactive substances, etc. These pollutants not only reduce soil quality, but also can penetrate into groundwater, causing widespread environmental problems.

[0003] Current soil remediation technologies include physical remediation, chemical remediation, biological remediation, and thermal treatment, etc. These technologies perform well under specific conditions, but also have significant limitations. Single technology often can only effectively treat specific types of pollutants. For example, gas-phase extraction technology has good removal effect on volatile organic compounds, but limited effect on heavy metal pollution. Chemical remediation technology can quickly remove pollutants, but its high cost and possible secondary pollution problems limit its large-scale application. Biological remediation methods are environmentally friendly, but have a long processing period and limited removal efficiency for certain pollutants. Thermal treatment technology is usually high in energy consumption and cost, and may have negative impacts on the environment. Single technology often cannot completely solve complex soil pollution problems, so multi-technology integrated comprehensive remediation schemes have gradually attracted attention. These comprehensive schemes combine the advantages of different remediation technologies to more effectively handle various pollution situations.

[0004] In order to realize the optimization of these comprehensive remediation schemes, traditional experimental research often takes a long time, costs high, and the results are difficult to predict. Therefore, it is particularly important to establish an efficient simulation optimization platform. Such a platform can simulate the application effect of different remediation technologies, evaluate their performance under specific conditions, and optimize remediation process parameters, thereby providing scientific and reasonable remediation schemes. SUMMARY

[0005] Therefore, the present application provides a multi-technology integrated soil remediation process simulation optimization platform, which integrates multiple remediation technologies, improves the flexibility and adaptability of the system, realizes rapid deployment and adjustment, simplifies the maintenance and operation process, and ensures efficient and reliable application in different environments.

[0006] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0007] A multi-technology integrated soil remediation process simulation optimization platform, comprising:

[0008] Data acquisition module: for collecting soil data, environmental data, and real-time monitoring data;

[0009] Data management and storage module: for storing soil data, environmental data, and real-time monitoring data;

[0010] Process simulation module: for establishing a remediation process model based on soil data and environmental data, and adjusting the remediation scheme in a timely manner based on real-time monitoring data.

[0011] Preferably, the data acquisition module includes:

[0012] Soil data acquisition unit: for collecting soil data, including physical property data and chemical property data, wherein the physical property data includes soil particle composition, soil density, porosity, and soil water content; the chemical property data includes soil pH value, soil organic matter content, nutrient element concentration, and pollutant concentration;

[0013] Environmental data acquisition unit: for collecting environmental data, including soil temperature, precipitation, humidity, wind speed, wind direction, and light;

[0014] Real-time monitoring unit: for real-time collection and updating of data from the soil data acquisition unit and the environmental data acquisition unit.

[0015] Preferably, the data management and storage module includes:

[0016] Data storage unit: for storing soil data, environmental data, and real-time monitoring data;

[0017] Data management unit: for backup, recovery, and quality management of stored data;

[0018] Data access and control unit: for setting access permissions for data to ensure data security and privacy.

[0019] Preferably, the process simulation module includes:

[0020] Simulation platform development unit: for building a multi-technology integrated soil remediation process simulation optimization platform;

[0021] Remediation process model establishment unit: for developing simulation models of different remediation processes, including physical remediation, chemical remediation, and biological remediation;

[0022] Simulation and optimization unit: for inputting collected data into the simulation model, simulating the remediation process based on the established soil remediation process simulation optimization platform, predicting the effects of different remediation processes, and adjusting remediation process parameters to optimize remediation effects according to simulation results.

[0023] Preferably, the data storage unit comprises:

[0024] Database system: for storing structured data and unstructured data, structured data including soil density, porosity, soil water content, soil pH, nutrient element concentration, pollutant concentration, soil temperature, precipitation, humidity, and wind speed, unstructured data including soil particle composition, soil organic matter content, wind direction, and light;

[0025] Data warehouse: for integrating structured data and unstructured data.

[0026] Preferably, the soil particle composition includes the proportion of sand, loam, and clay, the soil density includes dry soil density and wet soil density, the nutrient element concentration includes the concentration of nitrogen, phosphorus, potassium, calcium, and magnesium elements, the pollutant concentration includes the concentration of heavy metals lead, cadmium, and mercury, the concentration of organic pollutants benzene and chloroform, and the humidity includes air humidity and soil humidity.

[0027] Preferably, the data collection module further comprises a data preprocessing unit: for preprocessing the collected data, including cleaning, standardization, handling missing values, and abnormal values.

[0028] Preferably, when simulating the repair art, it includes simulation of single process and multi-process combination.

[0029] According to the above technical solution, compared with the prior art, the present disclosure provides a soil remediation process simulation optimization platform with multiple technology multiplexing, which has the following effects:

[0030] 1) Improve the repair efficiency: by integrating multiple soil remediation technologies (such as physical, chemical, and biological remediation), the platform can develop the optimal comprehensive remediation scheme for different pollutants and pollution levels. This multi-technology multiplexing method significantly improves the repair efficiency and effect.

[0031] 2) Accurate prediction of repair effect: by simulating different remediation technologies and technology combinations through simulation models, the platform can accurately predict the repair effect, avoiding the high-cost experiments in traditional methods. Through the simulation results, users can evaluate and optimize the effect before actual application, thereby improving the scientificity of decision-making.

[0032] 3) Reduce repair cost and time: by analyzing the cost-effectiveness of different remediation schemes, the platform can select the most economical remediation scheme, thereby reducing the total cost of soil remediation. In addition, the simulation and optimization process reduces the time for actual experiments, enabling the remediation project to progress faster. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below only illustrate a part of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained based on the provided drawings without creative labor.

[0034] Figure 1 A multi-technology complex soil remediation process simulation optimization platform provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0036] The embodiments of the present application disclose a multi-technology complex soil remediation process simulation optimization platform, as shown in the figure, which includes: Figure 1

[0037] Data acquisition module: used for acquiring soil data, environmental data and real-time monitoring data;

[0038] Data management and storage module: used for storing soil data, environmental data and real-time monitoring data;

[0039] Process simulation module: used for establishing a remediation process model based on soil data and environmental data, and timely adjusting the remediation scheme based on real-time monitoring data.

[0040] Among them, the data acquisition module provides basic information of soil and environment, including physical and chemical properties of soil, and environmental factors. These data are the basis for selecting and optimizing the remediation process. In addition, the changes of soil state and environmental conditions are continuously monitored, and the data are obtained in real time so as to timely adjust the remediation scheme.

[0041] Soil data acquisition unit: used for acquiring soil data, including:

[0042] Physical property data: soil particle composition (proportion of sand, loam and clay); soil density (dry soil density and wet soil density); porosity (proportion of pores in soil); water content (content of water in soil).

[0043] ​Chemical properties data: Soil pH (soil acidity and alkalinity); organic matter content (proportion of organic matter in soil); nutrient element concentration (such as nitrogen, phosphorus, potassium, calcium, magnesium, etc.); pollutant concentration (including heavy metals such as lead, cadmium, mercury; organic pollutants such as benzene, chloroform, etc.).

[0044] Environmental data collection unit: for collecting environmental data, including:

[0045] Climate condition data: soil temperature; precipitation (rainfall and its changes); humidity (air and soil humidity).

[0046] Environmental factor data: wind speed and direction (influence on soil erosion and pollution diffusion); light (light intensity and duration, influence on plant growth and soil biological activity).

[0047] Real-time monitoring unit:

[0048] For real-time collection and updating of data from soil data collection unit and environmental data collection unit, such as measuring soil moisture content by soil moisture sensor, measuring soil temperature by temperature sensor, real-time monitoring soil pH by pH sensor, measuring pollutant concentration by gas sensor, etc.

[0049] Data preprocessing unit:

[0050] For recording collected data, including time, location, sample number, etc. and cleaning, standardizing, handling missing values and outliers of raw data.

[0051] Data management and storage module in process simulation optimization platform, data management and storage module is responsible for organizing, storing, managing and protecting data, ensuring the accuracy, integrity and accessibility of data. Its role mainly reflects in the following aspects:

[0052] Data storage unit: for storing soil data, environmental data and real-time monitoring data, including:

[0053] Database system: relational database such as MySQL, PostgreSQL, used for storing structured data, including soil density, porosity, soil moisture content, soil pH, nutrient element concentration, pollutant concentration, soil temperature, precipitation, humidity and wind speed. Non-relational database such as MongoDB, Cassandra, used for storing unstructured or semi-structured data, such as soil particle composition, soil organic matter content, wind direction and light.

[0054] Data Warehouse: Integrates data from different sources to create a unified data storage platform. Supports large-scale data analysis and report generation, such as Amazon Redshift, Google BigQuery, etc. Stores large amounts of raw data, including structured and unstructured data, and supports flexible data processing and analysis, such as Apache Hadoop, Amazon S3, etc.

[0055] Data Management Unit is used for backup, recovery and quality management of stored data, including:

[0056] Data Management System: Tools for managing databases, such as Database Management System (DBMS), data warehouse management tools.

[0057] Data backup and recovery tools: such as backup software and recovery tools, to ensure data security and recoverability.

[0058] Data quality management tools: such as data cleaning and verification tools, to help improve data quality.

[0059] Data Access and Control Unit is used to manage user access to data, ensuring data security and privacy. Provides API or user interface to allow users to query and access data.

[0060] Process simulation module is one of the core functions of the soil remediation optimization platform, its main goal is to simulate and simulate different remediation processes, evaluate their performance in practical applications. Including:

[0061] Simulation platform development unit:

[0062] Used to build a multi-technology soil remediation process simulation optimization platform in the early stage, clearly define the functions that the platform needs to achieve, including simulation, parameter optimization, cost-benefit analysis, result display, etc. Consider user needs to determine the basic architecture and module design of the platform. Choose appropriate development technologies and tools, such as programming languages (Python, Java, etc.), simulation engines (MATLAB, Simulink, etc.), and visualization tools (D3.js, Plotly, etc.).

[0063] Remediation process model establishment unit:

[0064] Establish remediation process models for specific soil pollution problems. These models include physical, chemical and biological remediation technologies, such as soil washing, chemical oxidation, biological composting, etc. Model establishment is usually based on existing scientific theories and experimental data, and can accurately reflect key factors and interactions in the remediation process.

[0065] After the model is established, the basic information of the soil (such as soil type, pollutant concentration, environmental conditions, etc.) and the parameters of the remediation process (such as the amount of reagent, treatment time, temperature, etc.) need to be input. These input data and parameters are the basis for simulation accuracy and effectiveness.

[0066] Simulation and optimization unit:

[0067] Using the simulation platform built, the remediation process is simulated to predict the effect of different processes in actual application. When simulating the remediation process, both single process and multi-process combination simulation are included.

[0068] Physical remediation models include Darcy's Law and heat conduction equation:

[0069] Darcy's Law describes the flow of liquid in porous media:

[0070] Q represents the volume of fluid passing through per unit time, K represents the permeability coefficient, A represents the flow cross-sectional area, Δh represents the liquid head difference (usually the liquid level difference), and L represents the flow path length.

[0071] Heat conduction equation describes the conduction of heat in soil:

[0072] T represents temperature, t represents time, α represents thermal diffusivity, where k1 is the thermal conductivity, ρ is the density, c p is the specific heat capacity), and ▽ 2 represents the Laplace operator.

[0073] Chemical remediation models include first-order reaction kinetics and second-order reaction kinetics:

[0074] Reaction kinetics equation describes the rate of chemical reaction, commonly used are first-order and second-order reaction kinetics models.

[0075] First-order reaction kinetics:

[0076] Second-order reaction kinetics:

[0077] C1 represents the concentration of pollutants, and k2 represents the reaction rate constant.

[0078] Mass transport model describes the diffusion process of remediation agents in soil:

[0079] C2 represents the concentration of remediation agents, t represents time, and D represents the diffusion coefficient.

[0080] Bioremediation model:

[0081] Describes the degradation kinetics of microorganisms on pollutants:

[0082] μ represents the specific growth rate of microorganisms, μ max represents the maximum specific growth rate, S represents the pollutant concentration, K s represents the half-saturation constant.

[0083] Multi-process simulation model: combine the above physical repair model, chemical repair model, biological repair model according to the demand to carry out multi-process simulation.

[0084] For example, coupling physical and chemical processes: combine fluid flow in Darcy's law with chemical reaction kinetics equations to describe the flow and reaction of repair agents.

[0085] Darcy's law:

[0086] First-order reaction kinetics:

[0087] Second-order reaction kinetics:

[0088] In multi-process simulation, the combined conditions need to be set, the parameters of each technology and their application order and method are input; run the simulation, use the integrated model to run the simulation, and predict the overall effect of the combined technology; compare the effects of different technology combinations, including pollutant removal rate, repair time, comprehensive cost, etc. Analyze whether the combined technology can surpass single technology in some aspects.

[0089] By analyzing the simulation results, the repair capacity of different repair processes can be evaluated, that is, their effectiveness in dealing with pollutants. At the same time, the economic efficiency of the process needs to be evaluated, including cost-benefit analysis, such as repair cost, operating cost, maintenance cost, etc. These evaluations help determine the practical application value and economic feasibility of the process.

[0090] Based on the simulation results, the repair process can be optimized and adjusted to improve the repair effect or reduce the cost. This includes adjusting process parameters, selecting more suitable materials or technologies, and improving operation processes, etc.

[0091] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between each embodiment can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant part can be referred to the method part.

[0092] The foregoing description of the disclosed embodiments enables a person skilled in the art to make or use the application. Modifications of these embodiments will occur to persons of skill in the art, and that the appended claims are intended to cover all such modifications that do not depart from the true spirit and scope of the application. Therefore, the application is not limited to the embodiments shown but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-technology integrated soil remediation process simulation optimization platform, characterized in that, Comprise: Data acquisition module: for collecting soil data, environmental data and real-time monitoring data; Data management and storage module: for storing soil data, environmental data and real-time monitoring data; Process simulation module: for establishing a remediation process model based on soil data and environmental data, and adjusting the remediation scheme in time based on real-time monitoring data; The data acquisition module comprises: Soil data acquisition unit: for collecting soil data, including physical property data and chemical property data, wherein the physical property data includes soil particle composition, soil density, porosity and soil water content; the chemical property data includes soil pH value, soil organic matter content, nutrient element concentration and pollutant concentration; Environmental data acquisition unit: for collecting environmental data, including soil temperature, precipitation, humidity, wind speed, wind direction and light; Real-time monitoring unit: for real-time acquisition and update of data of soil data acquisition unit and environmental data acquisition unit; The data management and storage module comprises: Data storage unit: for storing soil data, environmental data and real-time monitoring data; Data management unit: for backup, recovery and quality management of stored data; Data access and control unit: for setting access rights to data to ensure data security and privacy; The process simulation module comprises: Simulation platform development unit: for building a soil remediation process simulation optimization platform with multiple technology multiplexing; Remediation process model establishment unit: for developing simulation models of different remediation processes, including physical remediation, chemical remediation and biological remediation; Simulation and optimization unit: for inputting the collected data into the simulation model, simulating the remediation process based on the established soil remediation process simulation optimization platform, predicting the effect of different remediation processes, and adjusting the remediation process parameters to optimize the remediation effect according to the simulation results.

2. The multi-technology integrated soil remediation process simulation and optimization platform according to claim 1, wherein, The data storage unit comprises: Database system: for storing structured data and unstructured data, structured data including soil density, porosity, soil water content, soil pH value, nutrient element concentration, pollutant concentration, soil temperature, precipitation, humidity and wind speed, unstructured data including soil particle composition, soil organic matter content, wind direction and light; Data warehouse: for integrating structured data and unstructured data.

3. The multi-technology integrated soil remediation process simulation and optimization platform according to claim 1, wherein, Soil particle composition includes the proportion of sand, loam and clay, soil density includes dry soil density and wet soil density, nutrient element concentration includes the concentration of nitrogen, phosphorus, potassium, calcium and magnesium elements, pollutant concentration includes the concentration of heavy metals lead, cadmium and mercury, and the concentration of organic pollutants benzene and chloroform, humidity includes air humidity and soil humidity.

4. The multi-technology integrated soil remediation process simulation and optimization platform according to claim 1, wherein, The data acquisition module further comprises a data preprocessing unit: for preprocessing the collected data, including cleaning, standardization, handling missing values and outliers.

5. The multi-technology integrated soil remediation process simulation and optimization platform according to claim 1, wherein, When simulating the remediation process, single process and multi-process combination simulation are included.

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