Soil remediation process simulation optimization platform for multi-technology reuse

Abstract

The invention discloses a multi-technology multiplexing soil remediation process simulation optimization platform. The platform comprises a data acquisition module used for acquiring soil data, environment data and real-time monitoring data; the data management and storage module is used for storing soil data, environment data and real-time monitoring data; and the process simulation module is used for establishing a remediation process model based on the soil data and the environmental data and adjusting a remediation scheme in time based on the real-time monitoring data. According to the method, multiple repair technologies are integrated, the flexibility and adaptability of the system are improved, rapid deployment and adjustment are achieved, meanwhile, the maintenance and operation process is simplified, and efficient and reliable application in different environments is ensured.

Description

Technical Field

[0001] The present invention relates to the field of process simulation technology, and more specifically to a soil remediation process simulation optimization platform with multiple technology reuse. Background Art

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

[0003] Current soil remediation technologies include physical remediation, chemical remediation, biological remediation and thermal treatment. These technologies perform well under specific conditions, but they also have significant limitations. A single technology can often only effectively treat specific types of pollutants. For example, vapor phase extraction technology has a good removal effect on volatile organic compounds, but has limited effect on heavy metal pollution. Although chemical remediation technology can quickly remove pollutants, its high cost and possible secondary pollution problems limit its large-scale application. Although biological remediation methods are environmentally friendly, they have a long treatment cycle and limited removal efficiency for certain pollutants. Thermal treatment technology usually has high energy consumption, high cost, and may have negative impacts on the environment. A single technology is often difficult to completely solve complex soil pollution problems, so comprehensive remediation solutions that reuse multiple technologies have gradually attracted attention. These comprehensive solutions can more effectively deal with various pollution situations by combining the advantages of different remediation technologies.

[0004] In order to optimize these comprehensive repair solutions, traditional experimental research is often time-consuming, costly, 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 effects of different repair technologies, evaluate their performance under specific conditions, and optimize the repair process parameters, thereby providing scientific and reasonable repair solutions. Summary of the invention

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

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A multi-technology reused soil remediation process simulation optimization platform, including:

[0008] Data acquisition module: used to collect soil data, environmental data and real-time monitoring data;

[0009] Data management and storage module: used to store soil data, environmental data and real-time monitoring data;

[0010] Process simulation module: used to establish a remediation process model based on soil data and environmental data, and to adjust the remediation plan in a timely manner based on real-time monitoring data.

[0011] Preferably, the data acquisition module includes:

[0012] Soil data collection unit: used to collect soil data, including physical property data and chemical property data. Physical property data include: soil particle composition, soil density, porosity and soil water content; chemical property data include: soil pH value, soil organic matter content, nutrient element concentration and pollutant concentration;

[0013] Environmental data collection unit: used to collect environmental data, including soil temperature, precipitation, humidity, wind speed, wind direction and light;

[0014] Real-time monitoring unit: used to collect and update the data of the soil data collection unit and the environmental data collection unit in real time.

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

[0016] Data storage unit: used to store soil data, environmental data and real-time monitoring data;

[0017] Data management unit: used to back up, restore and quality manage stored data;

[0018] Data access and control unit: used to set access rights to data and ensure data security and privacy.

[0019] Preferably, the process simulation module includes:

[0020] Simulation platform development unit: used to build a soil remediation process simulation optimization platform for multiple technology reuse;

[0021] Remediation process model building unit: used to develop simulation models for different remediation processes, including physical remediation, chemical remediation and biological remediation;

[0022] Simulation and optimization unit: It is used to input the collected data into the simulation model, and simulate the restoration process based on the established soil restoration process simulation optimization platform, predict the effects of different restoration processes, and adjust the restoration process parameters according to the simulation results to optimize the restoration effect.

[0023] Preferably, the data storage unit comprises:

[0024] Database system: used to store structured data and unstructured data. Structured data includes soil density, porosity, soil moisture content, soil pH, nutrient concentration, pollutant concentration, soil temperature, precipitation, humidity and wind speed. Unstructured data includes soil particle composition, soil organic matter content, wind direction and light.

[0025] Data warehouse: used to integrate structured data as well as unstructured data.

[0026] Preferably, the soil particle composition includes the ratio 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, 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 also includes a data preprocessing unit: used for preprocessing the collected data, including cleaning, standardization, and processing of missing values ​​and abnormal values.

[0028] Preferably, the simulation of the art of restoration includes the simulation of a single process and a combination of multiple processes.

[0029] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a multi-technology reused soil remediation process simulation optimization platform, which has the following effects:

[0030] 1) Improve remediation efficiency: By integrating multiple soil remediation technologies (such as physical, chemical, and biological remediation), the platform can develop the best comprehensive remediation plan for different pollutants and pollution levels. This multi-technology reuse approach significantly improves remediation efficiency and effectiveness.

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

[0032] 3) Reduce the cost and time of remediation: Through cost-benefit analysis of different remediation options, the platform can select the most economical remediation option, thereby reducing the total cost of soil remediation. In addition, the simulation and optimization process reduces the time of actual experiments, allowing the remediation project to proceed faster. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1 Schematic diagram of a multi-technology reused soil remediation process simulation optimization platform provided by the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] The embodiment of the present invention discloses a soil remediation process simulation optimization platform using multiple technologies, such as Figure 1 As shown, including:

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

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

[0039] Process simulation module: used to establish a remediation process model based on soil data and environmental data, and to adjust the remediation plan in a timely manner based on real-time monitoring data.

[0040] The data acquisition module provides basic information about soil and environment, including the physical and chemical properties of soil, as well as environmental factors. These data are the basis for selecting and optimizing the remediation process. In addition, the changes in soil status and environmental conditions are continuously monitored, and data is obtained in real time to adjust the remediation plan in a timely manner.

[0041] Soil data collection unit: used to collect soil data, including:

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

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

[0044] Environmental data collection unit: used to collect environmental data, including:

[0045] Data on climatic conditions: soil temperature; precipitation (amount of rainfall and its variability); humidity (moisture content of the air and soil).

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

[0047] Real-time monitoring unit:

[0048] It is used to collect and update the data of the soil data collection unit and the environmental data collection unit in real time, such as measuring the soil moisture content through the soil moisture sensor, measuring the soil temperature through the temperature sensor, and monitoring the pH value of the soil in real time through the pH sensor. The gas sensor measures the concentration of pollutants, etc.

[0049] Data preprocessing unit:

[0050] It is used to record the collected data, including time, location, sample number and other information, and to clean and standardize the original data, and process missing values ​​and outliers.

[0051] In the process simulation optimization platform, the data management and storage module is responsible for organizing, storing, managing and protecting data to ensure the accuracy, integrity and accessibility of data. Its functions are mainly reflected in the following aspects:

[0052] Data storage unit: used to store soil data, environmental data and real-time monitoring data, including:

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

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

[0055] The data management unit is used to back up, restore and manage the quality of stored data, including:

[0056] Data management system: tools used to manage databases, such as database management systems (DBMS) and 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 validation tools, help improve data quality.

[0059] The data access and control unit is used to manage user access rights to data and ensure data security and privacy. It provides an API or user interface to allow users to query and access data.

[0060] The 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 to evaluate their performance in actual applications. It includes:

[0061] Simulation platform development unit:

[0062] It is used to build a multi-technology reused soil remediation process simulation optimization platform in the early stage, and clarify the functions that the platform needs to achieve, including simulation, parameter optimization, cost-benefit analysis, result display, etc. Consider user needs and determine the basic architecture and module design of the platform. Select 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] Repair process model building 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. The establishment of the model is usually based on existing scientific theories and experimental data, and can accurately reflect the key factors and interactions in the remediation process.

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

[0066] Simulation and Optimization Unit:

[0067] The constructed simulation platform is used to simulate the restoration process and predict the effects of different processes in actual applications. When simulating the art of restoration, the simulation includes the simulation of a single process and a combination of multiple processes.

[0068] The physical repair model includes Darcy's law and heat conduction equation:

[0069] Darcy's Law, describing the flow of liquids 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 height difference), and L represents the flow path length.

[0071] The heat conduction equation describes the conduction of heat in the 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), ▽ 2 represents the Laplace operator.

[0073] The chemical remediation model includes first-order reaction kinetics and second-order reaction kinetics:

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

[0075] First order reaction kinetics:

[0076] Second order reaction kinetics:

[0077] C1 represents the pollutant concentration and k2 represents the reaction rate constant.

[0078] Mass transfer model, describing the diffusion process of the remediation agent in the soil:

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

[0080] Bioremediation Model:

[0081] Describe the degradation kinetics of pollutants by microorganisms:

[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: The above-mentioned physical remediation model, chemical remediation model, and biological remediation model are combined according to needs to perform multi-process simulation.

[0084] For example, coupling physical and chemical processes: combining fluid flow in Darcy's law with chemical reaction kinetic 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, it is necessary to set the combination conditions, input the parameters of each technology and their application order and method; 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 a single technology in some aspects.

[0089] By analyzing the simulation results, the remediation capabilities of different remediation processes can be evaluated, that is, their effectiveness in treating pollutants. At the same time, the economics of the process also need to be evaluated, including cost-benefit analysis, such as remediation costs, operating costs, maintenance costs, 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 costs. This includes adjusting process parameters, selecting more suitable materials or technologies, and improving operating procedures.

[0091] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments 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 parts can be referred to the method part.

[0092] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-technology reused soil remediation process simulation optimization platform, characterized in that: include: Data acquisition module: used to collect soil data, environmental data and real-time monitoring data; Data management and storage module: used to store soil data, environmental data and real-time monitoring data; Process simulation module: used to establish a remediation process model based on soil data and environmental data, and to adjust the remediation plan in a timely manner based on real-time monitoring data.

2. According to the multi-technology multiplexing soil remediation process simulation optimization platform of claim 1, it is characterized in that: The data acquisition module comprises: Soil data collection unit: used to collect soil data, including physical property data and chemical property data. Physical property data include: soil particle composition, soil density, porosity and soil water content; chemical property data include: soil pH value, soil organic matter content, nutrient element concentration and pollutant concentration; Environmental data collection unit: used to collect environmental data, including soil temperature, precipitation, humidity, wind speed, wind direction and light; Real-time monitoring unit: used to collect and update the data of the soil data collection unit and the environmental data collection unit in real time.

3. According to the multi-technology multiplexing soil remediation process simulation optimization platform of claim 2, it is characterized in that: The data management and storage module includes: Data storage unit: used to store soil data, environmental data and real-time monitoring data; Data management unit: used to back up, restore and quality manage stored data; Data access and control unit: used to set access rights to data and ensure data security and privacy.

4. According to the multi-technology multiplexing soil remediation process simulation optimization platform of claim 1, it is characterized in that: The process simulation module comprises: Simulation platform development unit: used to build a soil remediation process simulation optimization platform for multiple technology reuse; Remediation process model building unit: used to develop simulation models for different remediation processes, including physical remediation, chemical remediation and biological remediation; Simulation and optimization unit: It is used to input the collected data into the simulation model, and simulate the restoration process based on the established soil restoration process simulation optimization platform, predict the effects of different restoration processes, and adjust the restoration process parameters according to the simulation results to optimize the restoration effect.

5. According to the multi-technology multiplexing soil remediation process simulation optimization platform of claim 3, it is characterized in that: The data storage unit comprises: Database system: used to store structured data and unstructured data. Structured data includes soil density, porosity, soil moisture content, soil pH, nutrient concentration, pollutant concentration, soil temperature, precipitation, humidity and wind speed. Unstructured data includes soil particle composition, soil organic matter content, wind direction and light. Data warehouse: used to integrate structured data as well as unstructured data.

6. According to the multi-technology multiplexing soil remediation process simulation optimization platform of claim 2, it is characterized in that: The soil particle composition includes the proportions of sand, loam and clay; the soil density includes dry soil density and wet soil density; the nutrient element concentration includes the concentrations of nitrogen, phosphorus, potassium, calcium and magnesium; the pollutant concentration includes the concentrations of heavy metals lead, cadmium and mercury and the concentrations of organic pollutants benzene and chloroform; and the humidity includes air humidity and soil humidity.

7. The multi-technology multiplexing soil remediation process simulation optimization platform according to claim 2 is characterized in that: The data collection module also includes a data preprocessing unit: used to preprocess the collected data, including cleaning, standardization, and processing of missing values ​​and outliers.

8. The multi-technology multiplexing soil remediation process simulation optimization platform according to claim 4 is characterized in that: The simulation of the art of restoration includes the simulation of single processes and combinations of multiple processes.

Images