Multi-level targeted purification and resource utilization synergistic system for heavy metal pollution in coal mine groundwater

Abstract

This invention discloses a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater, comprising a multi-level targeted purification module, a load control module, and an energy consumption optimization module. The multi-level targeted purification module performs graded treatment of polluted water, including purification treatment units at each level. The load control module monitors the product generation rate of each purification treatment unit in real time during the water treatment process, calculates the current load status of the purification treatment unit, and dynamically adjusts the influent flow rate of polluted water to avoid overload operation. Feedback control is performed by establishing a relationship model between product generation rate and polluted water flow rate and concentration. The energy consumption optimization module establishes a comprehensive energy consumption value model, calculates the maximum system benefit based on the load power consumption of each purification treatment unit and the value of the products, and determines the specific adjustment value of the influent flow rate of polluted water under the maximum system benefit.

Description

Technical Field

[0001] This invention relates to the field of water treatment technology, and more specifically, to a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater. Background Technology

[0002] Current underground wastewater treatment systems in coal mines have two major drawbacks:

[0003] 1. Fixed flow control leads to frequent overload or inefficient operation of the processing unit;

[0004] Second, the energy consumption of operation is disconnected from the value of resources, and the cost of treating polluted water is high.

[0005] In view of this, the present invention provides a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater. It utilizes a load control module and an energy consumption optimization module to balance the purification input and resource recovery output in the polluted water treatment process, and establishes a synergistic relationship between water treatment input and resource recovery. Summary of the Invention

[0006] To address the aforementioned technical problems, the present invention aims to provide a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater. This system utilizes a load control module to dynamically allocate polluted water flow during the treatment process and combines it with an energy consumption optimization module to optimize the value balance between water treatment energy consumption and resource recovery.

[0007] To achieve the above objectives, this invention provides a multi-level targeted purification and resource recovery system for heavy metal pollution in coal mine groundwater. In this system, the multi-level targeted purification and resource recovery system includes a multi-level targeted purification module, a load control module, and an energy consumption optimization module. The multi-level targeted purification module is used for graded treatment of polluted water, including purification units at each level. The load control module monitors the product generation rate of each purification unit in real time during the water treatment process, calculates the current load status of the purification unit, and dynamically adjusts the influent flow rate of polluted water to avoid overload operation. Feedback control is performed by establishing a relationship model between the product generation rate and the polluted water flow rate and concentration. The energy consumption optimization module establishes a comprehensive energy consumption value model, calculates the maximum system benefit based on the load power consumption of each purification unit and the value of the products, and determines the specific adjustment value of the influent flow rate of polluted water under the condition of maximizing system benefit.

[0008] Furthermore, in the technical solution of the present invention, the load control module monitors in real time the output generation rate of each stage of the water treatment process and calculates the current load status of the purification unit, specifically including:

[0009] Real-time monitoring of the output generation rate of each stage of the purification and treatment unit. ,in Represented as purification and treatment units at each level The rate of product generation at any given time;

[0010] Calculate the load index of each purification unit. ,in Represented as purification and treatment units at each level Load index at any given time This represents the maximum processing capacity of each purification and treatment unit.

[0011] Indicated as shared Level purification treatment unit.

[0012] Furthermore, in the technical solution of this invention, the relationship model between the output generation rate and the polluted water flow rate and polluted water concentration established by the load control module is specifically expressed as follows: ,in Represented as purification and treatment units at each level The constant flow of polluted water Represented as purification and treatment units at each level The concentration of polluted water at any given time It is expressed as the conversion coefficient of the output of each purification and treatment unit.

[0013] Furthermore, in the technical solution of the present invention, the load control module performs feedback control adjustment specifically including the following steps:

[0014] Step S1: Calculate the purification treatment units at each level. The difference between the load index at a given time and the optimal load index for that level of purification unit: ,in, This represents the optimal load index for each level of purification and treatment unit. Represented as purification and treatment units at each level The difference in load index at any given time;

[0015] Step S2: Calculate the performance of each purification unit. The average of the load index differences at time points: ,in, Represented as purification and treatment units at each level The average of the load index differences at any given time;

[0016] Step S3: Based on the purification treatment units at each level... Average of the load index difference at time points Perform feedback control adjustments:

[0017] Adjust and increase the influent flow rate of polluted water;

[0018] Adjust and reduce the inflow rate of polluted water;

[0019] No adjustment.

[0020] Furthermore, in the technical solution of this invention, the energy consumption optimization module establishes a comprehensive energy consumption value model, specifically expressed as follows: ,in Represented as system revenue, This is expressed as the output value coefficient of each level of purification and treatment unit. This is expressed as the load power consumption of each purification unit. This is expressed as the load power consumption cost coefficient for each level of purification and treatment unit. This represents the cost of processing the outputs of each purification and treatment unit.

[0021] Furthermore, in the technical solution of the present invention, determining the specific adjustment value of the influent flow rate of polluted water to maximize system benefits includes the following steps:

[0022] Step M1: Determine the adjustment direction: The adjustment direction is the direction of feedback control adjustment by the load control module, that is, based on the average difference of the load index of each level of purification unit. The direction of feedback control adjustment includes adjusting to increase the influent flow rate of polluted water, adjusting to decrease the influent flow rate of polluted water, and not adjusting.

[0023] Step M2: Determine boundary conditions:

[0024] When the adjustment direction is to increase the influent flow rate of polluted water, the boundary conditions are: , ;

[0025] When the adjustment direction is to reduce the influent flow rate of polluted water, the boundary conditions are: , ;

[0026] in, This represents the influent flow rate of the polluted water after adjustment. This represents the maximum allowable influent flow rate of polluted water. It is expressed as the average value of the load index difference between each level of purification unit after adjustment;

[0027] Step M3, Gradient Calculation of Specific Adjustment Values: The gradient calculation method is used to calculate the specific adjustment value of the influent flow rate of polluted water. That is, according to the adjustment direction, the influent flow rate of polluted water is gradually increased or decreased, and the system benefits are gradually calculated according to the comprehensive energy consumption value model. The specific adjustment value of the influent flow rate of polluted water under the boundary conditions that maximizes the system benefits is obtained.

[0028] Effective Gain: In summary, this invention provides a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater. In the technical solution of this invention, a load control module dynamically allocates the polluted water flow rate during the polluted water treatment process according to the real-time load of each purification unit, avoiding the frequent overload or inefficient operation of the treatment units caused by the fixed flow control of traditional water treatment systems. At the same time, combined with an energy consumption optimization module, based on the load power consumption and output value of each purification unit, the value balance between water treatment energy consumption and resource recovery is optimized. That is, by using the load control module and the energy consumption optimization module to balance the purification input and resource recovery output in the polluted water treatment process, a synergistic relationship is constructed between water treatment input and resource recovery, so as to reduce the input cost of polluted water treatment and improve the resource recovery output, thereby maximizing the benefits of the water treatment system.

[0029] Other features and advantages of the present invention will be set forth in the following description. Attached Figure Description

[0030] To more clearly illustrate the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0031] Figure 1 This is a framework diagram of a multi-level targeted purification and resource utilization synergistic system for heavy metal pollution in coal mine groundwater according to an embodiment of the present invention;

[0032] Figure 2 This is a schematic diagram of a load control module performing feedback control adjustment according to an embodiment of the present invention;

[0033] Figure 3 This is a schematic diagram of a process for calculating a specific adjustment value of the influent flow rate of polluted water to maximize system benefits, according to an embodiment of the present invention. Detailed Implementation

[0034] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0035] The core of this invention is to provide a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater. This system uses a load control module to dynamically allocate the polluted water flow during the treatment process and combines it with an energy consumption optimization module to optimize the value balance between water treatment energy consumption and resource recovery.

[0036] Figure 1 This is a framework diagram of a multi-level targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater according to an embodiment of the present invention, as shown below. Figure 1 As shown, this embodiment provides a multi-level targeted purification and resource recovery system for heavy metal pollution in coal mine groundwater. In this embodiment, the multi-level targeted purification and resource recovery system for heavy metal pollution in coal mine groundwater includes:

[0037] The multi-stage targeted purification module performs graded treatment of polluted water, including purification treatment units at each level, and includes resource recovery of the outputs of each purification treatment unit.

[0038] The load control module monitors the output generation rate of each purification unit in real time during the water treatment process, calculates the current load status of the purification unit, and dynamically adjusts the influent flow rate of polluted water to avoid overload operation. It also establishes a model to show the relationship between the output generation rate and the polluted water flow rate and concentration, and performs feedback control and regulation.

[0039] The energy consumption optimization module establishes a comprehensive energy consumption value model. Based on the load power consumption and output value of each level of purification and treatment unit, it calculates the maximum system benefit and determines the specific adjustment value of the polluted water influent flow rate under the maximum system benefit. It should be noted that determining the specific adjustment value of the polluted water influent flow rate under the maximum system benefit is reflected in the fact that increasing the polluted water influent flow rate leads to an increase in the load power consumption of each level of purification and treatment unit (increased purification input) and an increase in output (increased resource utilization output), while decreasing the polluted water influent flow rate leads to a decrease in the load power consumption of each level of purification and treatment unit (decreased purification input) and a decrease in output (decreased resource utilization output). The specific situation is also limited by the specific composition of the polluted water.

[0040] Specifically, in this embodiment, the load control module monitors the output generation rate of each stage of the water treatment process in real time, and calculates the current load status of the purification unit, including:

[0041] Real-time monitoring of the output generation rate of each stage of the purification and treatment unit. ,in Represented as purification and treatment units at each level The output generation rate at any given time, wherein the value of the output of each purification and treatment unit is determined by the recyclable components in different outputs;

[0042] Calculate the load index of each purification unit. ,in Represented as purification and treatment units at each level Load index at any given time This represents the maximum processing capacity of each purification unit, i.e., the maximum output generation rate that each purification unit can achieve.

[0043] Indicated as shared Level purification treatment unit.

[0044] Specifically, in this embodiment, the load control module establishes a model relating the product generation rate to the polluted water flow rate and the polluted water concentration, which is expressed as follows: ,in Represented as purification and treatment units at each level The constant flow of polluted water Represented as purification and treatment units at each level The concentration of polluted water at any given time This is represented as the output conversion coefficient of each purification unit, which establishes the relationship between the output generation rate and the polluted water flow rate, so as to facilitate the feedback control adjustment of the subsequent load control module for the polluted water flow rate.

[0045] Specifically, in this embodiment, Figure 2 This is a schematic diagram of a load control module performing feedback control adjustment according to an embodiment of the present invention, as shown below. Figure 2 As shown, the load control module performs feedback control adjustment in the following specific steps:

[0046] Step S1: Calculate the purification treatment units at each level. The difference between the load index at a given time and the optimal load index for that level of purification unit: ,in, This represents the optimal load index for each level of purification and treatment unit. Represented as purification and treatment units at each level The difference in load index at time point, where the difference is... A value greater than 0 indicates that the load index of this level of purification unit exceeds the optimal load index, i.e., it is in an overload state. The difference is... A value less than 0 indicates that the load index of this level of purification unit is lower than the optimal load index, which is a low-load state.

[0047] Step S2: Calculate the performance of each purification unit. The average of the load index differences at time points: ,in, Represented as purification and treatment units at each level The average value of the load index difference at any given time should be noted. It is calculated as the average value of the load index difference of each level of purification unit. This reflects that the load control module gives equal weight to the load of each level of purification unit during the feedback control adjustment process. It does not give priority to the load of a specific level of purification unit. Specifically, depending on the actual situation, priority may be given to the load of a specific level of purification unit as needed.

[0048] Step S3: Based on the purification treatment units at each level... Average of the load index difference at time points Perform feedback control adjustments:

[0049] This indicates that the load index of the purification unit is lower than the optimal load index, which is a low-load state. The influent flow rate of the polluted water is adjusted and increased.

[0050] This indicates that the load index of the purification unit exceeds the optimal load index, indicating an overload state. The influent flow rate of the polluted water should be adjusted and reduced.

[0051] No adjustment.

[0052] Specifically, in this embodiment, the energy consumption optimization module establishes a comprehensive energy consumption value model as follows: ,in Represented as system revenue, This is expressed as the output value coefficient of each level of purification and treatment unit. This is expressed as the load power consumption of each purification unit. This is expressed as the load power consumption cost coefficient for each level of purification and treatment unit. It represents the cost of treating the output of each level of purification and treatment unit, that is, the difference between the purification input and the resource recovery output in the process of treating polluted water.

[0053] Specifically, in this embodiment, Figure 3This is a schematic flowchart illustrating a specific adjustment value for the influent flow rate of polluted water to maximize system benefits according to an embodiment of the present invention. Figure 3 As shown, determining the specific adjustment value of the influent flow rate of polluted water to maximize system benefits includes the following steps:

[0054] Step M1: Determine the adjustment direction: The adjustment direction is the direction of feedback control adjustment by the load control module, that is, based on the average difference of the load index of each level of purification unit. The direction of feedback control adjustment includes adjusting to increase the influent flow rate of polluted water, adjusting to decrease the influent flow rate of polluted water, and not adjusting.

[0055] Step M2: Determine boundary conditions:

[0056] When the adjustment direction is to increase the influent flow rate of polluted water, the boundary conditions are: , ;

[0057] When the adjustment direction is to reduce the influent flow rate of polluted water, the boundary conditions are: , ;

[0058] in, This represents the influent flow rate of the polluted water after adjustment. This represents the maximum allowable influent flow rate of polluted water. It is expressed as the average value of the load index difference between each level of purification unit after adjustment;

[0059] Step M3, Gradient Calculation of Specific Adjustment Values: The gradient calculation method is used to calculate the specific adjustment value of the influent flow rate of polluted water. That is, according to the adjustment direction, the influent flow rate of polluted water is gradually increased or decreased, and the system benefits are gradually calculated according to the comprehensive energy consumption value model. The specific adjustment value of the influent flow rate of polluted water under the boundary conditions that maximizes the system benefits is obtained.

[0060] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-stage targeted purification and resource recovery synergistic system for heavy metal pollution in coal mine groundwater, characterized in that, It includes a multi-level targeted purification module, a load control module, and an energy consumption optimization module; The multi-level targeted purification module is used for graded treatment of polluted water, including purification treatment units at each level; The load control module monitors the output generation rate of each purification unit in real time during the water treatment process and calculates the current load status of the purification unit, specifically including: Real-time monitoring of the output generation rate of each stage of the purification and treatment unit. ,in Represented as purification and treatment units at each level The rate of product generation at any given time; Calculate the load index of each purification unit. ,in Represented as purification and treatment units at each level Load index at any given time This represents the maximum processing capacity of each purification and treatment unit. Indicated as shared Level 1 purification treatment unit; The load control module further dynamically adjusts the influent flow rate of polluted water based on the calculated load status to avoid overload operation, and establishes a relationship model between the product generation rate and the polluted water flow rate and concentration: ,in Represented as purification and treatment units at each level The constant flow of polluted water Represented as purification and treatment units at each level The concentration of polluted water at any given time The product conversion coefficients of each purification unit are expressed as follows, and are adjusted using feedback control: Calculate the purification treatment units at each level The difference between the load index at a given time and the optimal load index for that level of purification unit: ,in, This represents the optimal load index for each level of purification and treatment unit. Represented as purification and treatment units at each level The difference in load index at any given time; Calculate the purification treatment units at each level The average of the load index differences at time points: ,in, Represented as purification and treatment units at each level The average of the load index differences at any given time; According to the purification and treatment units at each level Average of the load index difference at time points Perform feedback control adjustments: Adjust and increase the influent flow rate of polluted water; Adjust and reduce the inflow rate of polluted water; No adjustment; The energy consumption optimization module establishes a comprehensive energy consumption value model: ,in Represented as system revenue, This is expressed as the output value coefficient of each level of purification and treatment unit. This is expressed as the load power consumption of each purification unit. This is expressed as the load power consumption cost coefficient for each level of purification and treatment unit. The cost of treating the output of each purification unit is expressed as the cost of treating the output. Based on the load power consumption and output value of each purification unit, the system revenue is maximized, and the specific adjustment value of the influent flow rate of polluted water under the condition of maximizing system revenue is determined.

2. The multi-level targeted purification and resource utilization synergistic system for heavy metal pollution in coal mine groundwater according to claim 1, characterized in that, Determining the specific adjustment values ​​for the influent flow rate of polluted water to maximize system benefits includes: Based on the average difference in load index between each level of purification unit Determine the direction of feedback control adjustment, including adjusting to increase the influent flow rate of polluted water, adjusting to decrease the influent flow rate of polluted water, and not adjusting; When the adjustment direction is to increase the influent flow rate of polluted water, the boundary conditions are: , ; When the adjustment direction is to reduce the influent flow rate of polluted water, the boundary conditions are: , ; in, This represents the adjusted influent flow rate of the polluted water. This represents the maximum allowable influent flow rate of polluted water. It is expressed as the average value of the load index difference between each level of purification unit after adjustment; Based on the adjustment direction, the influent flow rate of polluted water is gradually increased or decreased, and the system benefits are gradually calculated according to the comprehensive energy consumption value model. The specific adjustment value of the influent flow rate of polluted water under the boundary conditions that maximizes the system benefits is obtained.

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