Coal mine underground water heavy metal pollution multi-stage targeted purification and recycling cooperative system

Abstract

The invention discloses a coal mine underground water heavy metal pollution multi-stage targeted purification and recycling cooperative system, which comprises a multi-stage targeted purification module, a load control module and an energy consumption optimization module, the multi-stage targeted purification module performs stage treatment on polluted water, and the multi-stage targeted purification module comprises all stages of purification treatment units; the load control module monitors the product generation rate of each stage of purification treatment unit in the water treatment process in real time and calculates the load state of the current purification treatment unit so as to dynamically adjust the water inlet flow of the polluted water and avoid overload operation, and by establishing a relation model of the product generation rate, the polluted water flow and the polluted water concentration, the water treatment efficiency is improved. Feedback control adjustment is carried out; and the energy consumption optimization module is used for calculating the maximum system income by establishing an energy consumption value comprehensive model based on the load power consumption and the product value of each stage of purification treatment unit, and determining the specific regulation value of the water inlet flow of the polluted water under the maximum system income.

Description

Technical Field

[0001] The present invention relates to the technical field of water treatment, and in particular to a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater. Background Art

[0002] The current coal mine underground contaminated water treatment system has two major defects: 1. Fixed flow control causes frequent overload or inefficient operation of processing units; Second, the operational energy consumption is disconnected from the resource value, and the investment cost of polluted water treatment is high; In view of this, the present invention provides a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater, which uses a load control module and an energy consumption optimization module to balance the purification input and resource output in the contaminated water treatment process, and establishes a collaborative relationship between water treatment input and resource recovery. Summary of the Invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater, which dynamically allocates the contaminated water flow in the contaminated water treatment process by adopting a load control module, and optimizes the value balance between water treatment energy consumption and resource recovery in combination with an energy consumption optimization module.

[0004] In order to achieve the above-mentioned purpose, the present invention provides a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater. In the technical solution of the present invention, the multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater includes a multi-stage targeted purification module, a load control module and an energy consumption optimization module. The multi-stage targeted purification module is used to perform graded treatment of contaminated water, including purification treatment units at each level; the load control module is used to monitor the output generation rate of purification treatment units at each level in real time during the water treatment process, calculate the load status of the current purification treatment unit, and dynamically adjust the inlet flow rate of contaminated water to avoid overload operation, and perform feedback control and adjustment by establishing a relationship model between the output generation rate and the contaminated water flow rate and contaminated water concentration; the energy consumption optimization module calculates the maximum system benefit based on the load power consumption and output value of purification treatment units at each level by establishing an energy consumption value comprehensive model, and determines the specific adjustment value of the inlet flow rate of contaminated water under the maximum system benefit.

[0005] Furthermore, in the technical solution of the present invention, the load control module monitors the output generation rate of each level of purification treatment unit in real time during the water treatment process, and calculates the load status of the current purification treatment unit specifically including: Real-time monitoring of the output generation rate of each level of purification treatment unit ,in It represents the purification treatment units at each level. The output generation rate at the moment; Calculate the load index of each level of purification treatment unit ,in It represents the purification treatment units at each level. The load index at the moment, Expressed as the maximum processing capacity of each level of purification treatment unit; Indicated as shared Stage purification treatment unit.

[0006] Furthermore, in the technical solution of the present invention, the load control module establishes a relationship model between the output generation rate and the contaminated water flow rate and the contaminated water concentration, which is specifically expressed as follows: ,in It represents the purification treatment units at each level. The polluted water flow at any moment, It represents the purification treatment units at each level. The concentration of polluted water at any moment, Expressed as the output conversion coefficient of each level of purification treatment units.

[0007] Furthermore, in the technical solution of the present invention, the load control module performs feedback control adjustment specifically including the following steps: Step S1, calculate the purification treatment units at each level The difference between the load index at the moment and the optimal load index of the purification treatment unit at this level: ,in, It is expressed as the optimal load index of each level of purification treatment unit, It represents the purification treatment units at each level. The difference in load index at each moment; Step S2: Calculate the purification units at each level The average value of the load index difference at each moment: ,in, It represents the purification treatment units at each level. The average value of the load index difference at each moment; Step S3: According to the purification treatment units at each level The average value of the load index difference at the time Perform feedback control adjustment: , adjust and increase the inlet flow of polluted water; , regulate and reduce the inflow flow of polluted water; , no adjustment.

[0008] Furthermore, in the technical solution of the present invention, the energy consumption optimization module establishes a comprehensive energy consumption value model specifically represented as follows: ,in Expressed as system benefit, Expressed as the output value coefficient of each level of purification treatment unit, It is expressed as the load power consumption of each level of purification processing unit, Expressed as the load power consumption cost coefficient of each level of purification processing unit, Expressed as the output processing cost of each level of purification treatment units.

[0009] Furthermore, in the technical solution of the present invention, determining the specific adjustment value of the inlet flow rate of the polluted water under the maximum system benefit includes the following steps: Step M1, determine the adjustment direction: the adjustment direction is the adjustment direction of the load control module for feedback control adjustment, that is, according to the average value of the load index difference of each level of purification treatment unit The direction of feedback control adjustment includes adjusting to increase the inlet flow rate of polluted water, adjusting to reduce the inlet flow rate of polluted water, and no adjustment; Step M2: Determine boundary conditions: When the regulation direction is to increase the inlet flow of polluted water, the boundary conditions are: , ; When the regulation direction is to reduce the inflow rate of polluted water, the boundary conditions are: , ; in, Expressed as the inlet flow rate of polluted water after adjustment, It is expressed as the maximum allowable inlet flow rate of polluted water, It is expressed as the average value of the load index difference of each level of purification treatment units after adjustment; Step M3, gradient calculation of specific adjustment value: The specific adjustment value of the inlet flow rate of the polluted water is calculated using the gradient calculation method, that is, the inlet flow rate of the polluted water is gradually increased or decreased according to the adjustment direction, and the system benefit is gradually calculated according to the comprehensive energy consumption value model to obtain the specific adjustment value of the inlet flow rate of the polluted water that maximizes the system benefit within the boundary conditions.

[0010] Effective gain: In summary, the present invention provides a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater. In the technical solution of the present invention, the load control module is used to dynamically allocate the contaminated water flow in the contaminated water treatment process according to the real-time load of the purification treatment units at each level, thereby avoiding the situation where the fixed flow control of the traditional water treatment system causes the treatment units to be frequently overloaded or inefficiently operated. At the same time, combined with the energy consumption optimization module based on the load power consumption and output value of the purification treatment units at each level, the value balance between water treatment energy consumption and resource recovery is optimized, that is, the load control module and the energy consumption optimization module are used to balance the purification input and resource output in the contaminated water treatment process, and a collaborative relationship between water treatment input and resource recovery is constructed to reduce the input cost of contaminated water treatment and increase the resource recovery output, thereby obtaining the maximum benefit in the water treatment system.

[0011] Other features and advantages of the present invention will be set forth in the description that follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0013] Figure 1 This is a framework diagram of a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of feedback control adjustment performed by a load control module according to an embodiment of the present invention; Figure 3 The figure is a flow chart of calculating a specific adjustment value of the inlet flow rate of polluted water to maximize the system benefit according to an embodiment of the present invention. DETAILED DESCRIPTION

[0014] In order to make the purpose, features, and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below 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 making creative work are within the scope of protection of the present invention.

[0015] The core of the embodiment of the present invention is to provide a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater. By adopting a load control module to dynamically allocate the contaminated water flow in the contaminated water treatment process, combined with an energy consumption optimization module to optimize the value balance between water treatment energy consumption and resource recovery.

[0016] Figure 1 FIG. 1 is a framework diagram of a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to an embodiment of the present invention. Figure 1 As shown, this embodiment provides a multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater. In this embodiment, the multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater includes: Multi-stage targeted purification module, which treats polluted water in stages, including purification units at each level, including resource recovery of the output of each level of purification units; The load control module monitors the output generation rate of each purification unit at each level during the water treatment process in real time, calculates the current load status of the purification unit, and dynamically adjusts the inlet flow of polluted water to avoid overload operation. By establishing a relationship model between the output generation rate and the polluted water flow and concentration, feedback control and adjustment are performed; The energy consumption optimization module establishes a comprehensive model of energy consumption value, calculates the maximum system benefit based on the load power consumption and output value of the purification treatment units at all levels, and determines the specific adjustment value of the inlet flow rate of polluted water under the maximum system benefit. It should be noted that the specific adjustment value of the inlet flow rate of polluted water under the maximum system benefit is determined. It is reflected in the fact that increasing the inlet flow rate of polluted water brings about an increase in the load power consumption of the purification treatment units at all levels (increased purification input) and an increase in output (increased resource output), and reducing the inlet flow rate of polluted water brings about a decrease in the load power consumption of the purification treatment units at all levels (decreased purification input) and a decrease in output (decreased resource output). The specific situation is also limited by the specific composition of the polluted water.

[0017] Specifically, in this embodiment, the load control module monitors the output generation rate of each level of purification treatment unit in real time during the water treatment process, and calculates the load status of the current purification treatment unit specifically including: Real-time monitoring of the output generation rate of each level of purification treatment unit ,in It represents the purification treatment units at each level. The output generation rate at each moment, where the output value of each purification unit is determined by the recyclable components in the different outputs; Calculate the load index of each level of purification treatment unit ,in It represents the purification treatment units at each level. The load index at the moment, It is expressed as the maximum processing capacity of each level of purification treatment unit, that is, the maximum output generation rate that can be achieved by each level of purification treatment unit; Indicated as shared Stage purification treatment unit.

[0018] Specifically, in this embodiment, the load control module establishes a relationship model between the output generation rate and the contaminated water flow rate and the contaminated water concentration, which is specifically expressed as follows: ,in It represents the purification treatment units at each level. The polluted water flow at any moment, It represents the purification treatment units at each level. The concentration of polluted water at any moment, It is expressed as the output conversion coefficient of each level of purification treatment unit, that is, to establish the relationship between the output generation rate and the polluted water flow, so as to facilitate the feedback control and adjustment of the polluted water flow by the subsequent load control module.

[0019] Specifically, in this embodiment, Figure 2 FIG. 1 is a flow chart of feedback control adjustment performed by a load control module according to an embodiment of the present invention. Figure 2 As shown, the load control module performs feedback control adjustment specifically including the following steps: Step S1, calculate the purification treatment units at each level The difference between the load index at the moment and the optimal load index of the purification treatment unit at this level: ,in, It is expressed as the optimal load index of each level of purification treatment unit, It represents the purification treatment units at each level. The difference in load index at the moment, where the difference If it is greater than 0, it means that the load index of the purification treatment unit at this level exceeds the optimal load index, that is, it is in overload state. Less than 0 means that the load index of the purification treatment unit at this level is lower than the optimal load index, that is, it is in a low-load state; Step S2: Calculate the purification units at each level The average value of the load index difference at each moment: ,in, It represents the purification treatment units at each level. The average value of the load index difference at each moment, if necessary, is calculated for each level of purification treatment unit, reflecting that the load control module considers the load conditions of each level of purification treatment units equally during the feedback control adjustment process, and does not give priority to the load condition of a specific level of purification treatment units. Specifically, according to actual conditions, the load condition of a specific level of purification treatment units can also be given priority according to needs. Step S3: According to the purification treatment units at each level The average value of the load index difference at the time Perform feedback control adjustment: , indicating that the load index of the purification treatment unit at this level is lower than the optimal load index and is in a low-load state, and the inlet flow rate of the polluted water is adjusted to increase; , indicating that the load index of the purification treatment unit at this level exceeds the optimal load index and is in an overload state, and the inlet flow rate of the polluted water is adjusted to be reduced; , no adjustment.

[0020] Specifically, in this embodiment, the energy consumption optimization module establishes an energy consumption value comprehensive model specifically represented as follows: ,in Expressed as system benefit, Expressed as the output value coefficient of each level of purification treatment unit, It is expressed as the load power consumption of each level of purification processing unit, Expressed as the load power consumption cost coefficient of each level of purification processing unit, It is expressed as the output processing cost of each level of purification treatment unit, that is, the difference between the purification input and resource recovery output in the polluted water treatment process.

[0021] Specifically, in this embodiment, Figure 3 FIG. 1 is a flow chart showing a specific adjustment value of the inlet flow rate of polluted water for maximizing system benefits according to an embodiment of the present invention. Figure 3 As shown, determining the specific adjustment value of the polluted water inlet flow rate to maximize the system benefit includes the following steps: Step M1, determine the adjustment direction: the adjustment direction is the adjustment direction of the load control module for feedback control adjustment, that is, according to the average value of the load index difference of each level of purification treatment unit The direction of feedback control adjustment includes adjusting to increase the inlet flow rate of polluted water, adjusting to reduce the inlet flow rate of polluted water, and no adjustment; Step M2: Determine boundary conditions: When the regulation direction is to increase the inlet flow of polluted water, the boundary conditions are: , ; When the regulation direction is to reduce the inflow rate of polluted water, the boundary conditions are: , ; in, Expressed as the inlet flow rate of polluted water after adjustment, It is expressed as the maximum allowable inlet flow rate of polluted water, It is expressed as the average value of the load index difference of each level of purification treatment units after adjustment; Step M3, gradient calculation of specific adjustment value: The specific adjustment value of the inlet flow rate of the polluted water is calculated using the gradient calculation method, that is, the inlet flow rate of the polluted water is gradually increased or decreased according to the adjustment direction, and the system benefit is gradually calculated according to the comprehensive energy consumption value model to obtain the specific adjustment value of the inlet flow rate of the polluted water that maximizes the system benefit within the boundary conditions.

[0022] The above shows and describes 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 above embodiments and descriptions are merely preferred examples of the present invention and are not intended to limit the present invention. Various changes and improvements may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and improvements fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater, characterized in that: include: Multi-stage targeted purification module, which treats polluted water in stages, including purification units at each level; The load control module monitors the output generation rate of each purification unit at each level during the water treatment process in real time, calculates the current load status of the purification unit, and dynamically adjusts the inlet flow of polluted water to avoid overload operation. By establishing a relationship model between the output generation rate and the polluted water flow and concentration, feedback control and adjustment are performed; The energy consumption optimization module establishes a comprehensive energy consumption value model, calculates the maximum system benefit based on the load power consumption and output value of each level of purification treatment units, and determines the specific adjustment value of the polluted water inlet flow rate to maximize the system benefit.

2. A multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to claim 1, characterized in that: The load control module monitors the output generation rate of each level of purification treatment unit in real time during the water treatment process, and calculates the load status of the current purification treatment unit specifically including: Real-time monitoring of the output generation rate of each level of purification treatment unit ,in It represents the purification treatment units at each level. The output generation rate at the moment; Calculate the load index of each level of purification treatment unit ,in It represents the purification treatment units at each level. The load index at the moment, Expressed as the maximum processing capacity of each level of purification treatment unit; Indicated as shared Stage purification treatment unit.

3. The multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to claim 2 is characterized in that: The load control module establishes a relationship model between the output generation rate and the contaminated water flow and concentration, which is specifically expressed as follows: ,in It represents the purification treatment units at each level. The polluted water flow at any moment, It represents the purification treatment units at each level. The concentration of polluted water at any moment, Expressed as the output conversion coefficient of each level of purification treatment units.

4. A multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to claim 3, characterized in that: The feedback control adjustment performed by the load control module specifically includes the following steps: Step S1, calculate the purification treatment units at each level The difference between the load index at the moment and the optimal load index of the purification treatment unit at this level: ,in, It is expressed as the optimal load index of each level of purification treatment unit, It represents the purification treatment units at each level. The difference in load index at each moment; Step S2: Calculate the purification units at each level The average value of the load index difference at the moment: ,in, It represents the purification treatment units at each level. The average value of the load index difference at each moment; Step S3: According to the purification treatment units at each level The average value of the load index difference at the time Perform feedback control adjustment: , adjust and increase the inlet flow of polluted water; , regulate and reduce the inflow flow of polluted water; , no adjustment.

5. A multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to claim 4, characterized in that: The energy consumption optimization module establishes a comprehensive energy consumption value model specifically represented as follows: ,in Expressed as system benefit, Expressed as the output value coefficient of each level of purification treatment unit, It is expressed as the load power consumption of each level of purification processing unit, Expressed as the load power consumption cost coefficient of each level of purification processing unit, Expressed as the output processing cost of each level of purification treatment units.

6. A multi-stage targeted purification and resource utilization collaborative system for heavy metal pollution in coal mine groundwater according to claim 5, characterized in that: Determining the specific adjustment value of the polluted water inlet flow rate to maximize system benefits includes the following steps: Step M1, determine the adjustment direction: the adjustment direction is the adjustment direction of the load control module for feedback control adjustment, that is, according to the average value of the load index difference of each level of purification treatment unit The direction of feedback control adjustment includes adjusting to increase the inlet flow rate of polluted water, adjusting to reduce the inlet flow rate of polluted water, and no adjustment; Step M2: Determine boundary conditions: When the regulation direction is to increase the inlet flow of polluted water, the boundary conditions are: , ; When the regulation direction is to reduce the inflow rate of polluted water, the boundary conditions are: , ; in, Expressed as the inlet flow rate of polluted water after adjustment, It is expressed as the maximum allowable inlet flow rate of polluted water, It is expressed as the average value of the load index difference of each level of purification treatment units after adjustment; Step M3, gradient calculation of specific adjustment value: The specific adjustment value of the inlet flow rate of the polluted water is calculated using the gradient calculation method, that is, the inlet flow rate of the polluted water is gradually increased or decreased according to the adjustment direction, and the system benefit is gradually calculated according to the comprehensive energy consumption value model to obtain the specific adjustment value of the inlet flow rate of the polluted water that maximizes the system benefit within the boundary conditions.

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