Metal wastewater separation and enrichment method and device based on intelligent pH value regulation

Abstract

The application discloses a metal wastewater separation and enrichment method and equipment based on intelligent pH value regulation, relates to the field of industrial wastewater treatment, and comprises the following steps: collecting wastewater monitoring data in a current period through an online monitoring network and sending the wastewater monitoring data to a PLC automatic control system; the PLC automatic control system makes intelligent regulation and control decisions according to the wastewater monitoring data in the current period and generates control instructions. The control instructions drive the reagent feeding system and the automatic process device to operate cooperatively, and finally ensure that the heavy metals are efficiently precipitated and separated. The application realizes precise reagent feeding and process cooperation for metal wastewater separation and enrichment, improves the control precision, processing efficiency and stability of metal separation, can realize full-process automatic control, improves the metal recovery purity and processing efficiency, reduces reagent consumption, and has self-optimization capability.

Description

Technical Field

[0001] This application relates to the field of industrial wastewater treatment, and in particular to a method and equipment for separating and enriching metal wastewater based on intelligent pH control. Background Technology

[0002] In practical applications, related polymetallic wastewater treatment technologies face severe automation and control bottlenecks, making it difficult to achieve stable, efficient, and economical results. Specifically, firstly, they are highly dependent on manual operation, making real-time data acquisition difficult. Traditional processes rely on frequent sampling and offline testing by professionals, resulting in significant system lag and an inability to adjust to dynamic fluctuations in influent water quality in real time. Simultaneously, the lack of real-time online monitoring of key heavy metal ions leads to insufficient control precision for core parameters (such as pH and ORP, making it difficult to achieve precise stepwise precipitation and separation of polymetallic ions.) Secondly, the level of intelligent decision-making and control is low. Reagent dosing relies mainly on experience-based estimations, resulting in inconsistent dosages. This not only causes large fluctuations in treatment effectiveness and difficulty in standardization but also leads to significant waste of reagent resources and the risk of secondary pollution. Furthermore, multimetal stepwise separation involves complex coordination of multiple related parameters such as pH, ORP, and concentration, making it difficult for traditional manual control modes to achieve optimal operation of the entire process chain.

[0003] The convergence of sensor technology, automatic control, and artificial intelligence algorithms has provided a new approach to solving the aforementioned challenges. Currently, there is an urgent need to develop an intelligent control system that integrates online monitoring, intelligent decision-making, precise execution, and self-optimization capabilities to fundamentally improve the automation, intelligence, and precision of polymetallic wastewater treatment processes. Summary of the Invention

[0004] The purpose of this application is to provide a method and equipment for separating and enriching metal wastewater based on intelligent pH control. This method can achieve precise reagent dosing and process synergy in the separation and enrichment of metal wastewater, improve the control accuracy, processing efficiency and stability of metal separation, reduce reagent consumption, and has self-optimization capabilities.

[0005] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for separating and enriching metal wastewater based on intelligent pH control. This method is applied to a metal wastewater separation and enrichment system. The metal wastewater separation and enrichment system specifically includes: a PLC automatic control system, an online monitoring network, a reagent dosing system, and an automated process device. The online monitoring network, the reagent dosing system, and the automated process device are all connected to the PLC automatic control system. The reagent dosing system includes: a variable frequency metering pump and a reagent flow meter. The automated process device includes: a regulating and compatibility unit, a jet mixing system, a variable impeller agitator, an ultrasonic co-reactor, and a solid-liquid separation device. The method for separating and enriching metal wastewater based on intelligent pH control includes: collecting wastewater monitoring data within the current time period through the online monitoring network and sending it to the PLC automatic control system; the wastewater monitoring data within the current time period includes ion concentration, pH value, water temperature, and actual reagent dosage; and using the PLC automatic control system to make intelligent control decisions based on the wastewater monitoring data within the current time period and generate control commands. The system controls a reagent dosing system and an automated process device to separate metal wastewater based on control commands. Specifically, this control includes: controlling the variable frequency metering pump to adjust the reagent dosage; controlling the start-up status of the automated process device; stabilizing wastewater quality through the regulating and mixing unit; instantaneously mixing the reagent and wastewater through the jet mixing system; and enriching and settling through the variable impeller agitator and ultrasonic co-reactor; controlling the solid-liquid separation equipment to separate the formed heavy metal precipitates from the water body, completing the enrichment. The PLC automatic control system uses wastewater monitoring data from the current time period to make intelligent control decisions and generate control commands. Specifically, this includes: using a reagent dosing prediction model based on the ion concentration, water temperature, and pH value of the current time period to obtain the required reagent dosage; adjusting the dosage using a PID controller based on the required and actual dosage to obtain a first control command for the variable frequency metering pump; and obtaining a second control command for the automated process device based on the ion concentration, water temperature, and pH value of the current time period.

[0006] Secondly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for separating and enriching metal wastewater based on intelligent pH control.

[0007] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application collects wastewater monitoring data within the current time period through an online monitoring network and sends it to a PLC automatic control system. The PLC automatic control system makes intelligent adjustment decisions based on the wastewater monitoring data within the current time period and generates control commands. Specifically, based on the ion concentration, water temperature, and pH value within the current time period, a reagent dosage prediction model is used to obtain the required reagent dosage for the current time period. This is then adjusted by a PID controller to obtain the first control command for the variable frequency metering pump. By dynamically correcting the control parameters, precise and adaptive adjustment of subsequent reagent dosage is achieved. Based on the ion concentration, water temperature, and pH value within the current time period, a second control command for the automated process device is obtained. These control commands drive the reagent dosing system and the automated process device to operate collaboratively, ultimately ensuring the efficient precipitation and separation of heavy metals. This application achieves precise reagent dosing and process synergy for metal wastewater separation and enrichment, improving the control accuracy, processing efficiency, and stability of metal separation. It enables fully automated control of the entire process, improves the purity and processing efficiency of metal recovery, reduces reagent consumption, and possesses self-optimization capabilities. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a schematic flowchart of a method for separating and enriching metal wastewater based on intelligent pH control, provided in an embodiment of this application.

[0010] Figure 2 This is a schematic diagram of the framework structure of a metal wastewater separation and enrichment method based on intelligent pH control, provided in an embodiment of this application.

[0011] Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application.

[0012] Figure label: 1. PLC automatic control system; 2. Online monitoring network; 3. Chemical dosing system; 4. Automated process equipment. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] Example 1, such as Figures 1-2 As shown, this embodiment provides a method for separating and enriching metal wastewater based on intelligent pH control. This method is applied to a metal wastewater separation and enrichment system. The metal wastewater separation and enrichment system specifically includes: a PLC automatic control system 1, an online monitoring network 2, a reagent dosing system 3, and an automated process device 4. The online monitoring network 2, the reagent dosing system 3, and the automated process device 4 are all connected to the PLC automatic control system 1. The reagent dosing system 3 includes: a variable frequency metering pump and a reagent flow meter. The automated process device 4 includes: an adjustment and compatibility unit, a jet mixing system, a variable impeller agitator, an ultrasonic co-reactor, and a solid-liquid separation device. The method for separating and enriching metal wastewater based on intelligent pH control includes: S1. Collect wastewater monitoring data for the current period through online monitoring network 2 and send it to PLC automatic control system 1; the wastewater monitoring data for the current period includes ion concentration, pH value, water temperature, and actual dosage of reagents.

[0016] In one exemplary embodiment, the online monitoring network 2 includes: a heavy metal ion sensor and a pH sensor; the heavy metal ion sensor is used to obtain the concentration of heavy metal ions; and the pH sensor is used to obtain the pH value.

[0017] In one exemplary embodiment, the heavy metal ion concentration includes at least: Cr 3+ Cu 2+ Zn 2+ and Ni 2+ .

[0018] In one exemplary embodiment, there are multiple heavy metal ion sensors and pH sensors; the heavy metal ion sensors and pH sensors are embedded on the blades of the variable pitch impeller agitator, and the number of heavy metal ion sensors and pH sensors is the same as the number of blades of the variable pitch impeller agitator, with one heavy metal ion sensor and one pH sensor corresponding to each blade.

[0019] In one exemplary embodiment, the detection sections of the heavy metal ion sensor and the pH sensor are in contact with wastewater.

[0020] In one exemplary embodiment, both the heavy metal ion sensor and the pH sensor are fixedly mounted on the drive shaft of the variable impeller agitator.

[0021] In one exemplary embodiment, the pH values ​​are controlled within the following ranges: 5.0-5.5 for chromium precipitation, 6.2-6.8 for copper precipitation, 8.5-9.0 for zinc precipitation, and 10.5-11.5 for nickel precipitation, with a control precision of ±0.05 for each range.

[0022] S2. The PLC automatic control system 1 makes intelligent control decisions based on the wastewater monitoring data in the current time period and generates control commands.

[0023] Among them, the PLC automatic control system 1 makes intelligent control decisions based on wastewater monitoring data within the current time period and generates control commands, specifically including: 1) Based on the ion concentration, water temperature, and pH value in the current time period, the required amount of reagent to be applied in the current time period is obtained using the reagent application prediction model.

[0024] 2) Based on the required dosage and actual dosage of the drug in the current time period, the PID controller is adjusted to obtain the first control command for the variable frequency metering pump.

[0025] 3) Based on the ion concentration, water temperature, and pH value in the current time period, obtain the second control command for the automated process device 4.

[0026] Optionally, intelligent control decisions can also be further adjusted (customized) based on heavy metal control strategies.

[0027] The heavy metal control strategies are as follows: 1) Chromium separation and enrichment control strategy: Cr 6+ Reduction control: PID control of sodium metabisulfite dosage based on ORP feedback; Fe 3+ Coprecipitation control: based on total Cr 3+ FeCl3 concentration control; precise pH regulation: using a fuzzy-PID composite control algorithm to achieve precise NaOH dosing; variable impeller-ultrasound coordinated control: automatically adjusting the stirring intensity and ultrasonic power according to the influent concentration.

[0028] 2) Copper separation and enrichment control strategy: Thiourea dosing control: based on Cu 2+ Concentration ratio control; precise pH regulation: segmented PID control is used to ensure that the pH is stable within the range of 6.2-6.8; reactor parameter optimization: optimal control based on reaction kinetic model.

[0029] 3) Zinc separation and enrichment control strategy: Sodium carbonate dosing control: based on Zn 2+ Adaptive proportional control of concentration; pH regulation: PID control with feedforward compensation.

[0030] 4) Nickel separation and enrichment control strategy: step-by-step alkali increase control: based on gradient adaptive algorithm; solid-liquid separation control: based on pressure and flow rate dual closed-loop control.

[0031] 5) Crystal particle circulation control strategy: seed concentration control based on turbidity measurement; adaptive flow control to ensure the optimal seed reflux ratio.

[0032] In addition, the reaction temperature control strategy is based on electric heating and automatic regulation of cooling water.

[0033] In one exemplary embodiment, the method for constructing a drug delivery prediction model includes: 1) Obtain historical wastewater monitoring datasets, each dataset including reagent dosage, ion concentration, water temperature, and pH value during the collection period.

[0034] 2) Clean the historical wastewater monitoring dataset to remove outliers and obtain the first dataset.

[0035] 3) Based on the first dataset obtained, construct an initial dosage-predicted pH value model using an LSTM model.

[0036] In the dosage-predicted pH model, ion concentration and water temperature serve as key input features. Ion concentration reflects the content level of target metal ions (or heavy metal ions) in the wastewater. Different metal ions exhibit varying equilibrium constants for precipitation reactions under different conditions, and ion concentration directly affects the pH value and dosage required to achieve the corresponding precipitation efficiency. Water temperature influences the rate constant of the chemical reaction, the solubility of the precipitate, and the mass transfer process. Temperature changes alter the reaction kinetics and equilibrium state between the reagent and metal ions, thus affecting the actual required dosage. Ion concentration and water temperature together provide the LSTM model with real-time characteristics of the wastewater conditions, enabling the LSTM model to fit the dynamic relationship between dosage and pH under multi-factor coupling based on historical data, thereby achieving precise intelligent control.

[0037] 4) Establish the objective function based on the first dataset. ;in, , These are the weighting coefficients; the pH loss function is established based on the pH value corresponding to each dosage and the predicted pH value.

[0038] The pH loss function quantifies the degree of inconsistency between the model's predictions and the actual values. Specifically, it measures the difference between the pH value predicted by the model and the actual pH value monitored, given a given dosage. In the objective function, the pH loss function prevents the model from sacrificing pH control accuracy to "save on pesticides" (minimize the dosage), ensuring that the system maintains a balanced dosage while meeting pH control accuracy requirements.

[0039] 5) Using the objective function as a constraint, optimize the initial dosage-predicted pH model to obtain the optimal dosage-predicted pH model, which is the drug delivery prediction model.

[0040] The S3.PLC automatic control system 1 controls the reagent dosing system 3 and the automated process device 4 to separate metal wastewater based on control commands. Specifically, the control of the reagent dosing system 3 and the automated process device 4 to separate metal wastewater includes: controlling the variable frequency metering pump to adjust the dosage of reagents; controlling the start-up status of the automated process device 4; stabilizing the wastewater quality by adjusting the mixing unit; instantaneously mixing the reagents and wastewater by the jet mixing system; and enriching and settling by the variable impeller agitator and the ultrasonic co-reactor; and controlling the solid-liquid separation equipment to separate the formed heavy metal precipitates from the water body to complete the enrichment.

[0041] In one exemplary embodiment, the metal wastewater separation and enrichment system further includes a crystal particle circulation control unit; the crystal particle circulation control unit controls the seed crystal concentration through turbidity measurement.

[0042] In practical applications, the metal wastewater separation and enrichment system adopts a three-layer control architecture: 1) Field layer: including various sensors (pH, ORP, heavy metal ions, temperature, etc.) and actuators (variable frequency pumps, electric valves, variable pitch impeller agitators, ultrasonic generators, etc.).

[0043] 2) Control layer: A control system with PLC as its core, including a data acquisition module, a control algorithm module, and an execution output module.

[0044] 3) Management layer: Upper computer monitoring system to realize data visualization, trend analysis, alarm management and remote control.

[0045] Figure 2 The process of intelligent separation and enrichment of polymetallic wastewater is shown; red asterisks indicate heavy metal ion and pH monitoring points, and green dots indicate automatic reagent control points.

[0046] In practical applications, the functions of each component in a metal wastewater separation and enrichment system are as follows: PLC Automatic Control System 1: As the core control unit, it is responsible for collecting data from various monitoring points and executing control strategies according to preset algorithms to achieve fully automated operation. The configuration of PLC Automatic Control System 1 for the metal wastewater separation and enrichment system is as follows: Hardware Configuration: Main PLC: Siemens S7-1500 series or equivalent; I / O Modules: Analog input (4-20mA), analog output (4-20mA), digital input / output modules; Communication Interface: Supports industrial protocols such as PROFINET and Modbus TCP / IP; Operation Panel: 10-inch touchscreen color human-machine interface. Software Functions: Real-time data acquisition and storage; multi-variable process control algorithm; intelligent reagent compatibility calculation; abnormal operating condition identification and handling; system operation status monitoring and diagnosis.

[0047] Online monitoring network 2 includes: an online monitoring system for heavy metal ions based on ion-selective electrodes and spectral analysis technology; a high-precision online pH monitoring system using differential electrode pairs; and monitoring instruments for parameters such as ORP, temperature, turbidity, and conductivity at key process points. The monitoring methods for each heavy metal ion are as follows: Chromium ion monitoring: based on electrochemical methods using modified electrode technology; Copper ion monitoring: using ion-selective electrode technology; Zinc ion monitoring: using anodic stripping voltammetry; Nickel ion monitoring: using spectrophotometry.

[0048] Automatic drug dosing and mixing system: a precision drug delivery system based on frequency conversion technology; an intelligent dosing control algorithm with multi-parameter linkage; and an intelligent flow metering system with automatic calibration function.

[0049] Automated process unit 4: Adjustment and compatibility unit: realizes wastewater pre-conditioning and automatic addition of reducing agent and coagulant.

[0050] Jet mixing system: Equipped with a variable frequency controlled jet pump and flow feedback control.

[0051] Variable pitch impeller agitator and ultrasonic co-processor: achieves automatic control of stirring intensity and ultrasonic power.

[0052] Solid-liquid separation equipment: automatic control of the pressure filtration and dewatering process.

[0053] The technical effects of this application are as follows: This application collects wastewater monitoring data within the current time period through an online monitoring network 2 and sends it to a PLC automatic control system 1. The PLC automatic control system 1 makes intelligent control decisions based on the wastewater monitoring data within the current time period and generates control commands. Specifically, based on the ion concentration, water temperature, and pH value within the current time period, a reagent dosage prediction model is used to obtain the required reagent dosage within the current time period. Then, the PID controller is adjusted to obtain the first control command for the variable frequency metering pump. By dynamically correcting the control parameters, precise and adaptive adjustment of subsequent reagent dosage is achieved. Based on the ion concentration, water temperature, and pH value within the current time period, a second control command for the automated process device 4 is obtained. The control commands drive the reagent dosing system 3 and the automated process device 4 to operate collaboratively, ultimately ensuring the efficient precipitation and separation of heavy metals. This application achieves precise reagent dosing and process synergy for metal wastewater separation and enrichment, improves the control accuracy, processing efficiency, and stability of metal separation, enables full-process automated control, improves the purity and processing efficiency of metal recovery, reduces reagent consumption, and has self-optimization capabilities.

[0054] This application utilizes a pH-based intelligent control method for the separation and enrichment of metal wastewater. Through intelligent and precise control, the pH control accuracy is improved to ±0.05, and the heavy metal ion monitoring accuracy reaches ±3%, thereby significantly improving the quality of the final product. The purity of the metal concentrate is increased by 15-25%, and the recovery rate is increased by 5-10%. In terms of efficiency and cost, the system response time is significantly reduced by 80%, reagent utilization is increased by 25-35%, overall reagent usage is reduced by 20-30%, and energy consumption is reduced by 15-25%, effectively lowering operating costs. Furthermore, the system possesses strong adaptive and intelligent diagnostic capabilities, enabling rapid response to water quality fluctuations and automatic anomaly identification, greatly enhancing operational stability and reliability.

[0055] Example 2: This application also provides a computer device, which may be a server or a terminal, and its internal structure diagram may be as follows. Figure 3As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores and processes data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network connection. When the computer program is executed by the processor, it implements the methods described above.

[0056] Those skilled in the art will understand that Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0057] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0058] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0059] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for separating and enriching metal wastewater based on intelligent pH control, characterized in that, The method for separating and enriching metal wastewater based on intelligent pH control is applied to a metal wastewater separation and enrichment system. The metal wastewater separation and enrichment system specifically includes: a PLC automatic control system, an online monitoring network, a reagent dosing system, and an automated process device; the online monitoring network, the reagent dosing system, and the automated process device are all connected to the PLC automatic control system; the reagent dosing system includes: a variable frequency metering pump and a reagent flow meter; the automated process device includes: a regulating and compatibility unit, a jet mixing system, a variable impeller agitator, an ultrasonic co-reactor, and a solid-liquid separation device; the metal wastewater separation and enrichment method based on pH intelligent control includes: Wastewater monitoring data for the current time period is collected through the online monitoring network and sent to the PLC automatic control system; the wastewater monitoring data for the current time period includes ion concentration, pH value, water temperature, and actual dosage of reagents; The PLC automatic control system makes intelligent adjustment decisions based on wastewater monitoring data within the current time period and generates control commands. The PLC automatic control system controls the reagent dosing system and automated process device to separate metal wastewater based on control commands. Specifically, controlling the reagent dosing system and automated process device to separate metal wastewater includes: controlling the variable frequency metering pump to adjust the reagent dosage; controlling the start-up status of the automated process device; stabilizing the wastewater quality through the regulating and compatibility unit; instantaneously homogenizing the reagent and wastewater through the jet mixing system; enriching and settling through the variable impeller agitator and ultrasonic co-reactor; and controlling the solid-liquid separation equipment to separate the formed heavy metal precipitates from the water body, completing the enrichment process. Specifically, the PLC automatic control system utilizes wastewater monitoring data from the current time period to make intelligent control decisions and generate control commands, including: Based on the ion concentration, water temperature, and pH value in the current time period, the required amount of pesticide to be added in the current time period is obtained using a pesticide dosing prediction model. Based on the required dosage and actual dosage of the pesticide in the current time period, the first control command for the variable frequency metering pump is obtained by adjusting the PID controller. Based on the ion concentration, water temperature, and pH value during the current time period, a second control command is obtained for the automated process device.

2. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 1, characterized in that, The method for constructing the drug delivery prediction model includes: Acquire historical wastewater monitoring datasets, with each dataset including reagent dosage, ion concentration, water temperature, and pH value for the data collection period. The historical wastewater monitoring dataset is cleaned to remove outliers, resulting in the first dataset; Based on the first dataset obtained, an initial dosage-predicted pH value model is constructed using an LSTM model. Establish the objective function based on the first dataset. ;in, , These are the weighting coefficients; the pH loss function is established based on the pH value corresponding to each dosage and the predicted pH value. The initial dosage-predicted pH model is optimized using the objective function as a constraint to obtain the optimal dosage-predicted pH model, which is the drug dosing prediction model.

3. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 1, characterized in that, The online monitoring network includes a heavy metal ion sensor and a pH sensor; the heavy metal ion sensor is used to obtain the concentration of heavy metal ions; and the pH sensor is used to obtain the pH value.

4. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 3, characterized in that, The concentration of the heavy metal ions includes at least: Cr 3+ Cu 2+ Zn 2+ and Ni 2+ .

5. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 3, characterized in that, There are multiple heavy metal ion sensors and pH sensors; the heavy metal ion sensors and pH sensors are embedded on the blades of the variable impeller agitator, and the number of heavy metal ion sensors and pH sensors is the same as the number of blades of the variable impeller agitator, with one heavy metal ion sensor and one pH sensor corresponding to each blade.

6. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 5, characterized in that, The detection parts of the heavy metal ion sensor and the pH sensor are in contact with the wastewater.

7. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 4, characterized in that, Both the heavy metal ion sensor and the pH sensor are fixedly mounted on the drive shaft of the variable impeller agitator.

8. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 1, characterized in that, The pH control ranges are as follows: 5.0-5.5 for chromium precipitation, 6.2-6.8 for copper precipitation, 8.5-9.0 for zinc precipitation, and 10.5-11.5 for nickel precipitation, with a control precision of ±0.05 for each.

9. The method for separating and enriching metal wastewater based on intelligent pH control according to claim 1, characterized in that, The metal wastewater separation and enrichment system also includes a crystal particle circulation control unit; the crystal particle circulation control unit controls the seed crystal concentration through turbidity measurement.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the metal wastewater separation and enrichment method based on pH intelligent control as described in any one of claims 1-9.

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