Heavy Metal Ion Treatment Method in Water and Soil Based on Array Ozone Generator

Abstract

To overcome the technical shortcomings of existing methods for treating heavy metal ions in water and soil, which suffer from residues or secondary pollution, this invention provides a method for treating heavy metal ions in water and soil based on an array ozone generator. This method combines traditional treatment schemes with ozone technology, further utilizing ozone to oxidize / hydrolyze heavy metal ions, causing them to form insoluble precipitates or complexes, thus achieving water and soil harmlessness. By analyzing the factors affecting ozone demand and consumption coefficient, a grid fuzzy model was established, and an expert system was used to optimize the scheduling of each group of ozone tubes based on the usage level of the ozone tubes. At the same time, an adaptive intelligent control of the pulse width and frequency of the pulse signal was established based on treatment time and effect to create a grid model of ozone demand. Data analysis verified the treatment effect and efficiency of the method. Furthermore, the array ozone generating unit was optimized and scheduled, achieving energy saving of the overall system while achieving green emission reduction.

Description

Technical Field

[0001] This invention relates to in-situ site remediation and pollution control in industries such as metallurgy and mining, and particularly to a method for treating heavy metal ions in water and soil based on an array ozone generator, belonging to the field of water and soil remediation. Background Technology

[0002] Green metallurgy is a key and challenging issue in metallurgical research today. Heavy metal ions are characterized by high toxicity, high stability, and high bioaccumulation, making them difficult to eliminate through natural degradation or dilution. Therefore, finding effective technologies for removing heavy metal ions from wastewater is an important research topic.

[0003] Currently, commonly used technologies for removing heavy metal ions from wastewater both domestically and internationally include chemical precipitation, flotation, adsorption, ion exchange, electrochemistry, nanofiltration, reverse osmosis, and biosorption. Each of these technologies has its own advantages and disadvantages. Chemical precipitation is the most commonly used and economical technology, but it also suffers from drawbacks such as difficulty in treating precipitates, pH sensitivity, and low removal efficiency. Flotation offers advantages such as large processing capacity, small footprint, and low energy consumption, but it also has disadvantages such as poor bubble stability, complex operating parameters, and high water quality requirements. Adsorption offers advantages such as good selectivity, high removal efficiency, and strong regenerability, but it also has disadvantages such as high adsorbent cost, difficult regeneration, and easy saturation. Ion exchange offers advantages such as high removal efficiency, recyclability, and simple operation. While various technologies exist, they also have drawbacks such as high resin costs, susceptibility to contamination, and difficulty in treating regenerated solutions. Electrochemistry offers advantages like high removal efficiency, low energy consumption, and no secondary pollution, but it also suffers from high electrode material costs, short electrode lifespan, and complex operating parameters. Nanofiltration boasts high removal efficiency, simple operation, and wide applicability, but it also faces disadvantages such as membrane fouling, reduced membrane flux, and high membrane costs. Reverse osmosis offers advantages like high removal efficiency, stable water quality, and low energy consumption, but it also has drawbacks such as membrane fouling, reduced membrane flux, and high membrane costs. Biosorption offers advantages like low cost and less pollution, but it also has disadvantages such as large footprint and long treatment cycles. Summary of the Invention

[0004] To overcome the technical shortcomings of existing methods for treating heavy metal ions in water and soil, which suffer from residues or secondary pollution, this invention provides a method for treating heavy metal ions in water and soil based on an array ozone generator. This method combines traditional treatment schemes with ozone technology, further utilizing ozone to oxidize / hydrolyze heavy metal ions, causing them to form insoluble precipitates or complexes, thus achieving water and soil harmlessness. By analyzing the factors affecting ozone demand and consumption coefficient, a grid fuzzy model was established, and an expert system was used to optimize the scheduling of each group of ozone tubes based on the usage level of the ozone tubes. At the same time, an adaptive intelligent control of the pulse width and frequency of the pulse signal was established based on treatment time and effect to create a grid model of ozone demand. Data analysis verified the treatment effect and efficiency of the method. Furthermore, the array ozone generating unit was optimized and scheduled, achieving energy saving of the overall system while achieving green emission reduction.

[0005] The technical solution adopted by this invention to solve its technical problem is: a method for treating heavy metal ions in water and soil based on an array ozone generator, characterized by including the following steps:

[0006] Step 1: The designed ozone integrated treatment system mainly combines ozone technology with traditional treatment solutions. It utilizes ozone to effectively oxidize / hydrogenate heavy metal ions. As a part coupled into the overall system, it is mainly divided into three subsystems: soil treatment system, sewage treatment system, and array ozone adaptive intelligent generator.

[0007] Step Two: Considering that the factors affecting the effect of ozone on heavy metal ion treatment refer to the various conditions and parameters that affect the rate, extent, and effectiveness of the reaction between ozone and heavy metal ions,

[0008] Establish an ozone demand model:

[0009] Q = f (p,c,h,t)

[0010] In the formula, Q denoted as ozone demand, p represents a vector of parameters related to the ozone treatment of heavy metal ions, such as pH value, organic matter content, buffering capacity; the types and proportions of heavy metal ions, such as mercury, cadmium, lead, chromium, arsenic, etc.; c represents a vector of additional parameters for other additives such as catalysts, reducing agents, adsorbents, membrane separation, etc. h For temperature; t Non-reaction time; different p, c, h , t Experiments were conducted at the points and the corresponding partial derivatives were calculated to obtain an approximate mesh model;

[0011] Step 3: Based on the recorded usage intensity of each ozone tube, select which ozone tube to turn on; based on the grid model of ozone demand obtained from the experiment, list the ozone demand for each grid, and adaptively adjust the frequency and duty cycle of the ozone generator drive signal according to the concepts of fuzzy logic and expert systems; the specific logic is as follows:

[0012] (1) The array-type ozone intelligent generator consists of multiple pulse signal controllers, each of which controls a group of ozone tubes;

[0013] (2) Based on the ozone demand predicted by the grid model, multiple levels of fuzzy values ​​are used to describe each grid point and within the grid: the fuzzy ozone demand required by the treatment system is determined based on the fuzzy description;

[0014] (3) Determine which ozone tubes need to be turned on or intermittently turned on, which ozone tubes need to be stopped, and the stress intensity of each group of turned-on ozone tubes, etc.

[0015] (4) Based on the processing time and processing effect, the pulse width and duty cycle of each pulse signal controller are adaptively adjusted according to the grid fuzz value and the expert system.

[0016] The beneficial effects of this invention are as follows: Addressing the heavy metal ion pollution problem in the metallurgical industry, a comprehensive water and soil treatment method based on an array ozone generator is proposed. This method utilizes ozone to oxidize / hydrolyze heavy metal ions, causing them to form insoluble precipitates or complexes, thus achieving the harmlessness of water and soil. This method has advantages such as being green and efficient, energy-saving and low-consumption, requiring little land, having a fast rate, and being highly adaptable, providing a new approach and solution for the current treatment of heavy metal ion pollution.

[0017] The present invention will now be described in detail with reference to specific embodiments. Implementation

[0018] Step 1: The designed ozone integrated treatment system mainly combines ozone technology with traditional treatment solutions. It utilizes ozone to effectively oxidize / hydrogenate heavy metal ions. As a part coupled into the overall system, it is mainly divided into three subsystems: soil treatment system, sewage treatment system, and array ozone adaptive intelligent generator.

[0019] Step Two: Considering that the factors affecting the effect of ozone on heavy metal ion treatment refer to the various conditions and parameters that affect the rate, extent, and effectiveness of the reaction between ozone and heavy metal ions,

[0020] Establish an ozone demand model:

[0021] Q = f (p,c,h,t)

[0022] In the formula,Q denoted as ozone demand, p represents a vector of parameters related to the ozone treatment of heavy metal ions, such as pH value, organic matter content, buffering capacity; the types and proportions of heavy metal ions, such as mercury, cadmium, lead, chromium, arsenic, etc.; c represents a vector of additional parameters for other additives such as catalysts, reducing agents, adsorbents, membrane separation, etc. h For temperature; t Non-reaction time; different p, c, h , t Experiments were conducted at the points and the corresponding partial derivatives were calculated to obtain an approximate mesh model;

[0023] Step 3: Based on the recorded usage intensity of each ozone tube, select which ozone tube to turn on; based on the grid model of ozone demand obtained from the experiment, list the ozone demand for each grid, and adaptively adjust the frequency and duty cycle of the ozone generator drive signal according to the concepts of fuzzy logic and expert systems; the specific logic is as follows:

[0024] (1) The array-type ozone intelligent generator consists of multiple pulse signal controllers, each pulse signal controller controls a group of ozone tubes, and each pulse signal controller controls 10 ozone tubes;

[0025] (2) Based on the ozone demand predicted by the grid model, seven levels of fuzzy values ​​are used to describe each grid point and within the grid: highest, high, medium-high, medium-low, low, lowest, and zero; the fuzzy ozone demand required by the treatment system is determined based on this fuzzy description.

[0026] (3) Determine which ozone tubes need to be turned on or intermittently turned on, which ozone tubes need to be stopped, and the stress intensity of each group of turned-on ozone tubes, etc.

[0027] (4) Based on the processing time and processing effect, the pulse width and duty cycle of each pulse signal controller are adaptively adjusted according to the grid fuzz value and the expert system.

Claims

1. A method for treating heavy metal ions in water and soil based on an array ozone generator, characterized by comprising the following steps: Step 1: The designed ozone integrated treatment system mainly combines ozone technology with traditional treatment solutions. It utilizes ozone to effectively oxidize / hydrogenate heavy metal ions. As a part coupled into the overall system, it is mainly divided into three subsystems: soil treatment system, sewage treatment system, and array ozone adaptive intelligent generator. Step Two: Considering that the factors affecting the effect of ozone on heavy metal ion treatment refer to the various conditions and parameters that affect the rate, extent, and effectiveness of the reaction between ozone and heavy metal ions, Establish an ozone demand model: Q = f (p,c,h,t) In the formula, Q denoted as ozone demand, p represents a vector of parameters related to the ozone treatment of heavy metal ions, such as pH value, organic matter content, buffering capacity; the types and proportions of heavy metal ions, such as mercury, cadmium, lead, chromium, and arsenic; and c represents a vector of additional parameters for other additives such as catalysts, reducing agents, adsorbents, and membrane separation. h For temperature; t Non-reaction time; different p, c, h , t Experiments were conducted at the points and the corresponding partial derivatives were calculated to obtain an approximate mesh model; Step 3: Based on the recorded usage intensity of each ozone tube, select which ozone tube to turn on; based on the grid model of ozone demand obtained from the experiment, list the ozone demand for each grid, and adaptively adjust the frequency and duty cycle of the ozone generator drive signal according to the concepts of fuzzy logic and expert systems; the specific logic is as follows: (1) The array-type ozone intelligent generator consists of multiple pulse signal controllers, each of which controls a group of ozone tubes; (2) Based on the ozone demand predicted by the grid model, multiple levels of fuzzy values ​​are used to describe each grid point and within the grid: the fuzzy ozone demand required by the treatment system is determined based on the fuzzy description; (3) Determine which ozone tubes need to be turned on or intermittently turned on, which ozone tubes need to be stopped, and the stress intensity of each group of turned-on ozone tubes. (4) Based on the processing time and processing effect, the pulse width and duty cycle of each pulse signal controller are adaptively adjusted according to the grid fuzz value and the expert system.