Integrated method and system applied to heavy metal recovery

Abstract

The invention relates to the technical field of metal surface treatment waste liquid treatment, in particular to an integration method and system applied to heavy metal recovery, and the method comprises the steps: obtaining a waste liquid classification model, dividing a predefined category, configuring a process module matching category, selecting a treatment program through a logic analysis model, and writing the treatment program into a process module. The processing program comprises an analysis node for defining a waste liquid association relationship and a processing chain; the system further comprises a whole-process monitoring unit, a water resource recycling unit and a sludge treatment unit, and closed-loop management of waste liquid, efficient recovery of resources and improvement of economical efficiency are achieved. The method has the advantages that the waste liquid treatment adaptability is improved, and resource waste and environmental pollution are reduced.

Description

Technical Field

[0001] This invention relates to the field of metal surface treatment wastewater treatment technology, and more specifically, to an integrated method and system for heavy metal recovery. Background Technology

[0002] With the continuous expansion of the metal surface treatment industry, processes such as electroplating, anodizing, electroless plating, and etching are widely used in manufacturing. The resulting wastewater contains high concentrations of valuable heavy metals such as copper, nickel, chromium, zinc, and even gold and silver. Direct discharge of this wastewater without effective treatment not only causes serious environmental pollution and ecological risks but also signifies the loss of a large amount of recyclable metal resources. Therefore, how to efficiently and economically recover and utilize heavy metals from wastewater while ensuring environmental safety has become a key issue for the sustainable development of this industry.

[0003] The core of heavy metal recovery technology lies in the accurate identification and targeted treatment of complex wastewater systems. Wastewater generated by different processes exhibits significantly different compositions, often containing interfering substances such as strong complexing agents, cyanides, and hexavalent chromium. This causes heavy metals to exist in stable complexed or highly toxic forms, greatly increasing the difficulty of recovery. Existing technologies typically rely on single or series-based treatment processes, making it difficult to dynamically match the wastewater classification characteristics with metal recovery efficiency, thus limiting the overall adaptability and economic viability of the process.

[0004] While chemical precipitation is simple to operate and low in cost, it easily generates large amounts of sludge containing impurities, resulting in low purity of recovered products and hindering high-value resource utilization. Electrolysis, though capable of producing high-purity metals, is only suitable for high-concentration single-metal systems and is inefficient for low-concentration or mixed wastewater. Ion exchange and membrane separation technologies, while possessing selective enrichment capabilities, are limited by high material costs, susceptibility to contamination, and complex regeneration. Furthermore, most processes do not adequately consider the synergistic optimization of wastewater source separation and pretreatment, leading to insufficient efficiency in key steps such as complex breaking, reduction, or cyanide removal, thus affecting the stable operation of subsequent recovery units. Especially when dealing with complex wastewater containing complexing agents or multiple heavy metals, existing methods generally suffer from low recovery rates, high risks of secondary pollution, and non-closed-loop resource recovery pathways. Therefore, an integrated treatment solution with strong systemicity, broad adaptability, and the ability to achieve efficient resource recovery throughout the entire process is urgently needed. Summary of the Invention

[0005] This invention relates to wastewater treatment technology for metal surface treatment, and in particular to an integrated method and system for heavy metal recovery.

[0006] The recycling method includes the following steps: obtaining a waste liquid classification model, dividing the waste liquid into several predefined categories according to compositional differences; configuring multiple process modules in the central control unit to match the predefined categories; sequentially inputting the composition parameters corresponding to the waste liquid category and the target recycling function card into the logic parsing model, which then selects the processing program corresponding to the target recycling function; writing the processing program into the process module corresponding to the waste liquid category, with each processing program containing at least one parsing node, defining the association between waste liquid categories and the corresponding processing chain in the parsing node.

[0007] Furthermore, the logic parsing model has several preset processing procedures. The logic parsing model identifies the target recycling function card to match multiple processing procedures corresponding to the target recycling function card.

[0008] Furthermore, the logic parsing model loads the component parameters, writes the component parameters to multiple matched processors, and outputs simulation results by performing simulation runs in the logic parsing model. The processors suitable for the component parameters are then selected based on the simulation results.

[0009] Furthermore, the processing program includes at least a function execution section, a parameter adjustment section, and an instruction transmission section set between the function execution section and the parameter adjustment section for linking the function execution section and the parameter adjustment section.

[0010] Furthermore, the function execution section is used to preset the functions implemented by the program; the parameter adjustment section includes a parameter adjustment area and a verification area; the instruction transmission section has internal parsing nodes and external parsing nodes; the internal parsing node is used to store the internal instruction chain, and the internal instruction chain is used to load the parameter adjustment area into the function execution section through the corresponding internal instruction chain when the logic parsing model enables simulation verification, the function execution section performs initialization simulation verification, and then transmits the verification result to the verification area through the internal instruction chain, and the verification area detects the verification result; the external parsing node is used to write and store the association relationship with other waste liquid categories and the corresponding processing chain.

[0011] Furthermore, the external parsing node has multiple parsing units, each of which is used to write the association relationship with other waste liquid categories, and realizes the functional transfer between the association relationships by constructing a processing chain.

[0012] Furthermore, the parsing unit has several control bits, each control bit being used to write the association relationship with other waste liquid categories; and the control bits configure the link relationship of different control bits within the same parsing unit according to the cross-association relationship between different waste liquid categories.

[0013] The present invention also provides a recycling system, comprising: a predefined category division unit, used to divide predefined categories according to waste liquid categories constituted by a waste liquid classification model; a first configuration unit, used to configure multiple process modules in a central control unit to match the predefined categories; a logical parsing model, used to select the processing program corresponding to the target recycling function based on the component parameters corresponding to the waste liquid category and the target recycling function card; and a second configuration unit, used to write the processing program into the process module corresponding to the waste liquid category, wherein the processing program contains at least one parsing node, and the parsing node defines the association relationship between waste liquid categories and the corresponding processing chain.

[0014] Furthermore, the logical parsing model includes: a storage unit for storing several preset processing programs based on the waste liquid category and the component parameters matching the waste liquid category; and an identification unit for identifying the target recycling function card to match multiple processing programs corresponding to the target recycling function card.

[0015] Furthermore, the processing program includes at least a function execution section, a parameter adjustment section, and an instruction transmission section set between the function execution section and the parameter adjustment section for linking the function execution section and the parameter adjustment section.

[0016] Furthermore, the function execution section uses chemical precipitation, electrolytic deposition, or membrane separation technology to treat heavy metal ions in the waste liquid; the parameter adjustment section sets specific reaction conditions based on the pH value, heavy metal concentration, and complexing agent content of the waste liquid; the instruction transmission section realizes the coordinated operation between various process modules through internal and external analysis nodes, ensuring that the processing program can dynamically adjust parameters to adapt to changes in the characteristics of the waste liquid during actual operation.

[0017] Furthermore, the internal analysis node monitors the operational status of the function execution section in real time and feeds the monitoring data back to the parameter adjustment section, which then adjusts the reaction conditions based on the feedback data. The external analysis node analyzes the correlation between different waste liquid categories and constructs a treatment chain to achieve continuous treatment of multiple types of waste liquid, avoiding a decrease in treatment efficiency due to differences in waste liquid characteristics.

[0018] Furthermore, the parsing unit enables parallel processing of multiple tasks through the configuration of control bits. For example, when processing cyanide-containing waste liquid, the first control bit of the parsing unit is used to write relevant parameters for cyanide destruction treatment, the second control bit is used to write relevant parameters for subsequent deep purification, and the third control bit is used to write relevant parameters for resource utilization. The link relationship between different control bits is dynamically adjusted through the internal logic algorithm of the parsing unit to adapt to the changing needs of the processing flow.

[0019] Furthermore, the predefined category division unit acquires the composition data of the waste liquid in real time through online monitoring equipment and transmits the composition data to the central control unit; the central control unit generates a waste liquid classification model based on the composition data and sends the waste liquid classification model to the logic parsing model; the logic parsing model selects the optimal processing program based on the waste liquid classification model and assigns the processing program to the corresponding process module.

[0020] Furthermore, the first configuration unit physically connects the process module to the central control unit through a hardware interface. The hardware interface adopts a standardized communication protocol to ensure the stability and reliability of data transmission. The second configuration unit writes the processing program into the process module through a software interface. The software interface supports multiple programming languages, which facilitates the updating and optimization of the processing program.

[0021] Furthermore, the recycling system also includes a full-process monitoring unit. The full-process monitoring unit collects real-time data during the waste liquid treatment process through the field sensor layer and transmits the real-time data to the process control layer. The process control layer adjusts the operating parameters of the process modules based on the real-time data and feeds back the adjusted operating parameters to the production management layer. The production management layer generates optimization suggestions through data analysis and sends the optimization suggestions to the central control unit to improve the overall efficiency of waste liquid treatment.

[0022] Furthermore, the whole-process monitoring unit adopts a distributed control system architecture, with the data acquisition frequency of the field sensor layer being once per minute, the control command response time of the process control layer being less than 1 second, and the optimization suggestion generation cycle of the production management layer being 5 minutes, ensuring intelligent management of the waste liquid treatment process.

[0023] Furthermore, the recycling system also includes a water reuse unit, which deeply purifies the treated effluent using ultrafiltration and reverse osmosis technologies. The ultrafiltration membrane has a pore size of 0.01 to 0.1 micrometers, the reverse osmosis desalination rate is greater than 98%, and the system water production rate is greater than 75%. The purified effluent is disinfected and then reused in the cleaning process of metal surface treatment. The quality of the reused water meets industrial water standards, and the reuse rate can reach 70% to 80%.

[0024] Furthermore, the water reuse unit monitors the operating pressure of the ultrafiltration and reverse osmosis systems using pressure sensors and adjusts operating parameters accordingly; it monitors the system's water production rate using flow meters and adjusts the replacement cycle of the reverse osmosis membrane accordingly; and it monitors the quality of the reused water using water quality sensors and adjusts the dosage of disinfection treatment based on the water quality data to ensure the stability of the reused water quality.

[0025] Furthermore, the recycling system also includes a sludge treatment unit, which dewaters the sludge generated by chemical precipitation using a plate and frame filter press at a pressure of 0.6 to 1.2 MPa. After dewatering, the sludge moisture content is reduced to 60% to 70%. The filtrate is returned to the waste liquid pretreatment process for further treatment, and the dewatered sludge is sent to a non-ferrous metal smelter for resource utilization, with a metal recovery rate of 85% to 95%.

[0026] Furthermore, the sludge treatment unit monitors the dewatering progress of the sludge using a weight sensor and adjusts the filtration pressure accordingly; it monitors temperature changes during the dewatering process using a temperature sensor and adjusts the operating parameters of the filter press accordingly; and it monitors the moisture content of the dewatered sludge using a humidity sensor and adjusts the subsequent resource utilization process conditions accordingly to ensure the high efficiency of sludge treatment.

[0027] Furthermore, the recycling system achieves closed-loop management of waste liquid treatment through the coordinated operation of the whole-process monitoring unit and the water resource reuse unit, reducing resource waste and environmental pollution; it improves the adaptability and economy of waste liquid treatment through the dynamic adjustment of the logical analysis model and process modules; and it achieves efficient recovery of valuable metals in waste liquid through the resource utilization of the sludge treatment unit, promoting the sustainable development of the metal surface treatment industry. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the overall structure of the recycling system of the present invention.

[0029] Figure 2 This is a schematic diagram of the functional structure of the processing program of the present invention.

[0030] Attached reference numerals: 1. Predefined category division unit; 2. Logical parsing model; 3. Process module; 4. Full-process monitoring unit; 5. Function execution part; 6. Parameter adjustment part; 7. Instruction transmission part; 8. Internal parsing node; 9. External parsing node. Detailed Implementation

[0031] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention.

[0032] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly or indirectly attached to that other component. When a component is referred to as being "connected to" another component, it can be directly or indirectly connected to that other component.

[0033] It should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention.

[0034] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0035] This invention provides a method and system for recovering heavy metals from wastewater from metal surface treatment. The specific embodiments of this invention will be described in detail below with reference to the accompanying drawings. Figure 1 and Figure 2 As shown, the overall structure of the recycling system includes a predefined classification unit 1, a logical analysis model 2, a process module 3, and a full-process monitoring unit 4. These functional units are interconnected through information flow paths, forming a complete closed-loop management system. In specific implementation, the waste liquid is first classified and processed by the predefined classification unit 1, and then the appropriate processing program is selected through the logical analysis model 2 and assigned to the corresponding process module 3 for execution. The full-process monitoring unit 4 is responsible for collecting and feeding back data during the waste liquid treatment process in real time to ensure the stable operation of the system.

[0036] The predefined category classification unit 1 acquires real-time waste liquid composition data through online monitoring equipment and transmits this data to the central control unit. The central control unit generates a waste liquid classification model based on the composition data and sends this model to the logic parsing model 2. The logic parsing model 2 includes a storage unit and an identification unit. The storage unit stores several preset processing programs matched according to waste liquid category and composition parameters, while the identification unit is responsible for identifying target recycling function cards to match multiple processing programs corresponding to those cards. In actual operation, the logic parsing model 2 loads the composition parameters corresponding to the waste liquid category, writes these parameters into the matched processing programs, and outputs simulation results through simulation to ultimately select the processing program suitable for the composition parameters. The selection process is implemented through an internal parsing node 8 and an external parsing node 9. The internal parsing node 8 stores the internal instruction chain, while the external parsing node 9 writes and stores the association relationships with other waste liquid categories and their corresponding processing chains.

[0037] Process module 3 is the core execution part of this system, which includes a function execution part 5, a parameter adjustment part 6, and an instruction transmission part 7. The function execution part 5 treats heavy metal ions in the waste liquid using chemical precipitation, electrolytic deposition, or membrane separation technologies. The parameter adjustment part 6 sets specific reaction conditions based on the pH value, heavy metal concentration, and complexing agent content of the waste liquid. The instruction transmission part 7 achieves coordinated operation between the various process modules through internal analysis nodes 8 and external analysis nodes 9. The internal analysis node 8 monitors the operating status of the function execution part 5 in real time and feeds back the monitoring data to the parameter adjustment part 6, which adjusts the reaction conditions based on the feedback data. The external analysis node 9 analyzes the correlation between different types of waste liquid and constructs a treatment chain to achieve continuous treatment of multiple types of waste liquid, avoiding a decrease in treatment efficiency due to differences in waste liquid characteristics.

[0038] like Figure 2 As shown, the functional structure of the processing program includes a function execution section 5, a parameter adjustment section 6, and an instruction transmission section 7. When treating heavy metal-containing wastewater using chemical precipitation technology, the function execution section 5 first introduces the wastewater into a reaction tank and adds an appropriate amount of precipitant to form insoluble precipitates of heavy metal ions. The selection of the precipitant is determined based on the composition parameters of the wastewater; for example, sodium hydroxide can be used as a precipitant for copper-containing wastewater. The parameter adjustment section 6 adjusts the pH value in the reaction tank according to the pH value of the wastewater to ensure efficient precipitation reaction. Simultaneously, the parameter adjustment section 6 also detects the amount and quality of precipitate formation through a verification area to determine whether the reaction has achieved the expected results. The instruction transmission section 7 feeds back the verification results of the parameter adjustment section 6 to the function execution section 5 through an internal parsing node 8, thereby realizing the function of dynamically adjusting reaction conditions. Furthermore, the external parsing node 9 enables parallel processing of multiple tasks through the control bit configuration of the parsing unit. For example, when treating cyanide-containing wastewater, the first control bit of the parsing unit is used to write relevant parameters for cyanide destruction treatment, the second control bit is used to write relevant parameters for subsequent deep purification, and the third control bit is used to write relevant parameters for resource utilization. The link relationships between different control bits are dynamically adjusted through the internal logic algorithm of the parsing unit to adapt to the changing needs of the processing flow.

[0039] The full-process monitoring unit 4 collects real-time data during the wastewater treatment process through the field sensor layer and transmits the data to the process control layer. The process control layer adjusts the operating parameters of process module 3 based on the real-time data and feeds the adjusted parameters back to the production management layer. The production management layer generates optimization suggestions through data analysis and sends these suggestions to the central control unit to improve the overall efficiency of wastewater treatment. The full-process monitoring unit 4 adopts a distributed control system architecture, with the field sensor layer collecting data once per minute, the process control layer's control command response time being less than one second, and the production management layer's optimization suggestion generation cycle being five minutes, thus ensuring intelligent management of the wastewater treatment process.

[0040] The water reuse unit deeply purifies the treated effluent using ultrafiltration and reverse osmosis technologies. The ultrafiltration membrane has a pore size of 0.01 to 0.1 micrometers, the reverse osmosis desalination rate is greater than 98%, and the system water production rate is greater than 75%. The purified effluent, after disinfection, is reused in the cleaning process of metal surface treatment. The reused water quality meets industrial water standards, and the reuse rate can reach 70% to 80%. The water reuse unit monitors the operating pressure of the ultrafiltration and reverse osmosis systems using pressure sensors and adjusts operating parameters accordingly. A flow meter monitors the system water production rate and adjusts the reverse osmosis membrane replacement cycle based on the production rate. A water quality sensor monitors the quality of the reused water and adjusts the disinfection dosage based on the water quality data to ensure the stability of the reused water quality.

[0041] The sludge treatment unit dewaters the sludge generated from chemical precipitation using a plate and frame filter press. The filtration pressure is 0.6 to 1.2 MPa, and the moisture content of the dewatered sludge is reduced to 60% to 70%. The filtrate is returned to the wastewater pretreatment process for further treatment, while the dewatered sludge is sent to a non-ferrous metal smelter for resource utilization, achieving a metal recovery rate of 85% to 95%. The sludge treatment unit monitors the dewatering progress using a weight sensor and adjusts the filtration pressure accordingly. Temperature sensors monitor temperature changes during the dewatering process, and the operating parameters of the filter press are adjusted based on these changes. A humidity sensor monitors the moisture content of the dewatered sludge, and the subsequent resource utilization process conditions are adjusted accordingly to ensure the high efficiency of sludge treatment.

[0042] The recycling system achieves closed-loop management of wastewater treatment through the coordinated operation of the full-process monitoring unit 4 and the water resource reuse unit, reducing resource waste and environmental pollution. The adaptability and economy of wastewater treatment are improved through the dynamic adjustment of the logical analysis model 2 and process module 3. Resource utilization through the sludge treatment unit enables the efficient recovery of valuable metals from the wastewater, promoting the sustainable development of the metal surface treatment industry. The first configuration unit physically connects process module 3 to the central control unit via a hardware interface. The hardware interface uses a standardized communication protocol to ensure the stability and reliability of data transmission. The second configuration unit writes the processing program into process module 3 via a software interface. The software interface supports multiple programming languages, facilitating program updates and optimization.

[0043] To enable those skilled in the art to fully understand and implement the present invention, the specific implementation principles of the present invention will be further explained below in conjunction with the accompanying drawings and specific application scenarios.

[0044] In the initial stage of wastewater treatment, the wastewater is first classified using a predefined classification unit 1. Online monitoring equipment acquires real-time data on the wastewater composition and transmits this data to the central control unit. For example, in a metal surface treatment plant, the wastewater mainly originates from the electroplating process and contains high concentrations of copper and nickel ions, as well as a small amount of complexing agents. In this case, the predefined classification unit 1 classifies the wastewater as "copper-containing wastewater" based on the types and amounts of heavy metals present and generates a corresponding wastewater classification model. This model is then sent to the logical parsing model 2 to match the processing procedure corresponding to that category.

[0045] After entering logic parsing model 2, the system loads the component parameters corresponding to the waste liquid category and retrieves multiple preset processing programs through the storage unit for simulation. Taking copper-containing waste liquid as an example, logic parsing model 2 identifies the target recovery function card as "copper ion recovery" and matches a suitable processing program for this category. In this process, internal parsing node 8 is responsible for storing the internal instruction chain, while external parsing node 9 analyzes the correlation with other waste liquid categories and constructs a processing chain to ensure the system's adaptability. For example, when a certain concentration of complexing agent is detected in the waste liquid, external parsing node 9 will automatically adjust the processing chain, adding a complex-breaking step to improve subsequent recovery efficiency.

[0046] Process module 3, as the core execution part, receives the processing program selected by logic parsing model 2 and begins specific operations. In function execution part 5, chemical precipitation technology is used to treat copper-containing waste liquid. First, the waste liquid is introduced into the reaction tank, and an appropriate amount of sodium hydroxide is added as a precipitant. Parameter adjustment part 6 adjusts the pH value in the reaction tank according to the acidity or alkalinity value of the waste liquid, maintaining it between 9 and 10 to ensure that copper ions can be efficiently converted into insoluble copper hydroxide precipitate. At the same time, the verification area judges the reaction effect by detecting the amount and quality of precipitate formation. If the amount of precipitate formation is insufficient, instruction transmission part 7 transmits the feedback result to parameter adjustment part 6 through internal parsing node 8, dynamically adjusting the amount of precipitant added or the reaction conditions.

[0047] For complex wastewater systems, such as cyanide-containing wastewater, the system achieves efficient recovery through the multi-task parallel processing capability of external analysis node 9. Specifically, the first control bit of the analysis unit is programmed with relevant parameters for cyanide destruction, initiating the oxidative cyanide destruction reaction; the second control bit is programmed with deep purification parameters, further removing residual pollutants through membrane separation technology; and the third control bit is programmed with resource utilization parameters, converting the treated metal ions into high-purity metals through electrolytic deposition technology. The linkage between different control bits is dynamically adjusted by the internal logic algorithm of the analysis unit to adapt to changing requirements of the treatment process. For example, if a high cyanide concentration is detected during the cyanide destruction process, the system will automatically extend the oxidation time and increase the oxidant dosage to ensure the cyanide destruction effect.

[0048] The end-to-end monitoring unit 4 plays a crucial role in the entire treatment process. The field sensor layer collects real-time data on the wastewater treatment process every minute, including parameters such as pH value, heavy metal concentration, and flow rate, and transmits the data to the process control layer. The process control layer adjusts the operating parameters of process module 3 based on the real-time data, such as adjusting the stirring speed in the reaction tank or the rate of precipitant dosing. The production management layer generates optimization suggestions through data analysis and sends these suggestions to the central control unit, thereby improving overall treatment efficiency. For example, when an abnormally high concentration of heavy metals is detected in a batch of wastewater, the system automatically adjusts the treatment program, increasing the precipitant dosage or extending the reaction time to ensure treatment effectiveness.

[0049] The water reuse unit achieves efficient water reuse by deeply purifying the treated effluent. Ultrafiltration technology first removes suspended particles and large organic molecules from the effluent, with a membrane pore size ranging from 0.01 to 0.1 micrometers, ensuring effluent turbidity is below 1 NTU. Subsequently, reverse osmosis technology further desalinates the water, achieving a desalination rate greater than 98%, and the system's water production rate can reach over 75%. The purified effluent, after disinfection, is reused in the cleaning process of metal surface treatment, meeting industrial water standards, with a reuse rate of 70% to 80%. In actual operation, pressure sensors monitor the operating pressure of the ultrafiltration and reverse osmosis systems in real time and adjust operating parameters according to pressure changes. For example, when the operating pressure exceeds a set threshold, the system automatically initiates a backwashing procedure to prevent membrane fouling.

[0050] The sludge treatment unit uses a plate and frame filter press to dewater the sludge generated from chemical precipitation. In one practical case, the filter press operated at a filtration pressure of 0.8 MPa, reducing the moisture content of the dewatered sludge to approximately 65%. The filtrate was returned to the wastewater pretreatment process for further treatment, while the dewatered sludge was sent to a non-ferrous metal smelter for resource utilization, achieving a metal recovery rate of over 90%. During the dewatering process, a weight sensor monitored the dewatering progress in real time and adjusted the filtration pressure accordingly; a temperature sensor monitored temperature changes during dewatering and adjusted the operating parameters of the filter press based on these changes; and a humidity sensor monitored the moisture content of the dewatered sludge and adjusted the subsequent resource utilization process conditions accordingly, ensuring the high efficiency of sludge treatment.

[0051] Through the coordinated operation of the full-process monitoring unit 4 and the water resource reuse unit, the system achieves closed-loop management of wastewater treatment, significantly reducing resource waste and environmental pollution. Simultaneously, the dynamic adjustment capabilities of the logical analysis model 2 and the process module 3 enhance the adaptability and economy of wastewater treatment. For example, when treating complex wastewater containing multiple heavy metals, the system can quickly switch treatment programs based on the characteristics of different wastewaters, avoiding a decrease in treatment efficiency due to differences in wastewater properties. Furthermore, the resource utilization of the sludge treatment unit further improves the recovery rate of valuable metals in the wastewater, promoting the sustainable development of the metal surface treatment industry.

[0052] In summary, this invention, through the coordinated operation and dynamic adjustment of its various functional units, not only achieves efficient recovery of heavy metals from waste liquid but also significantly reduces the risk of secondary pollution, providing strong support for the green development of the metal surface treatment industry.

[0053] Furthermore, the process module 3, as the core execution part of this system, internally includes a function execution part 5, a parameter adjustment part 6, and an instruction transmission part 7. This module adopts a modular design and can be configured as a standard processing unit or an adaptive resource recovery enhancement unit according to requirements.

[0054] Standard processing mode: Function execution section 5 conventionally treats heavy metal ions in wastewater using chemical precipitation, electrolytic deposition, or membrane separation technologies. Parameter adjustment section 6 sets specific reaction conditions based on the pH value, heavy metal concentration, and complexing agent content of the wastewater. Command transmission section 7 achieves coordinated operation between various process modules 3 through internal analysis node 8 and external analysis node 9.

[0055] Adaptive Resource Recycling Enhancement Mode: As an innovative design of this system, this mode integrates parallel processing channels and intelligent triggering mechanisms on the basis of standard hardware.

[0056] Triggering conditions and functions:

[0057] 1. When the logic analysis model 2 detects that the concentration of precious metals such as gold, silver, and palladium in the waste liquid exceeds the set threshold, the module automatically activates the online adsorption / enrichment function. While the waste liquid is undergoing routine treatment, it flows through the built-in dedicated ion exchange resin bed, selectively enriching the precious metals. After enrichment saturation, it can be desorbed to generate a high-value metal solution for direct reuse.

[0058] 2. When the full-process monitoring unit 4 predicts that the effluent water quality is close to exceeding the standard, the module automatically activates the deep polishing function. The nanofiltration membrane module at the end is activated to forcibly purify the effluent as a redundancy measure to ensure compliance.

[0059] 3. When the system receives an "energy-saving mode" command from the central control unit (e.g., during off-peak electricity hours), the module automatically switches to the electrolytic recovery priority mode. Electrolytic deposition is prioritized for the recovery of heavy metals such as copper and nickel, reducing sludge production and lowering operating costs.

[0060] Therefore, the process module 3 can perform different instruction operations according to different triggering conditions to meet a variety of complex process requirements.

[0061] The activation, switching, and deactivation of this enhanced mode are all directly controlled by logic parsing model 2. An enhanced program package matching the trigger conditions has been added to the storage unit of logic parsing model 2, and the identification unit compares the data with the trigger conditions in real time. Instructions are sent to process module 3 through external parsing node 9, and the valves and power actuators within the module automatically switch processes.

[0062] The waste liquid is first classified and treated by the predefined classification unit 1, and then the appropriate treatment program is selected by the logical analysis model 2. When assigning the program, the logical analysis model 2 will simultaneously make a judgment: if the preset conditions such as "high concentration of high-value metals", "high risk of water quality exceeding the standard" or "in the energy-saving period" are met, an instruction to "activate enhanced recovery mode" will be sent on the basis of the standard treatment program.

[0063] After receiving the instruction, process module 3 activates the corresponding enhancement function while performing standard processing to achieve parallel processing. The full-process monitoring unit 4 is responsible for real-time acquisition and feedback of the operation parameters of the enhancement function to ensure stable system operation in multi-functional mode.

[0064] The above embodiments are merely explanations of the present invention and are not intended to limit the present invention. After reading this specification, those skilled in the art can make modifications to these embodiments without contributing any inventive step, but as long as they are within the scope of the claims of the present invention, they are protected by patent law.

Claims

1. A method for recovering heavy metals from a metal surface treatment waste liquid, characterized by, The method comprises the following steps: obtaining a waste liquid classification model, and classifying waste liquid into several predefined categories according to component differences; configuring several process modules in a central control unit to correspondingly match the predefined categories; The component parameters corresponding to the waste liquid categories and the target recycling function card are sequentially input into the logical analysis model, and the logical analysis model selects the processing program corresponding to the target recycling function; The processing program is written into the process module corresponding to the waste liquid category, and the processing program contains at least one analysis node, in which the association relationship between waste liquid categories and the corresponding processing chain are defined.

2. The method for recovering heavy metals from metal surface treatment wastewater according to claim 1, characterized in that, The logical analysis model has several preset processing programs, and the logical analysis model identifies the target recycling function card to match the several processing programs corresponding to the target recycling function card.

3. The method for recovering heavy metals from metal surface treatment wastewater according to claim 2, characterized in that, The logical analysis model loads the component parameters, writes the component parameters into the matched several processing programs, and outputs simulation results by simulating running in the logical analysis model, and selects the processing program suitable for the component parameters through the simulation results.

4. The method for recovering heavy metals from metal surface treatment wastewater according to claim 1, characterized in that, The processing program at least includes a function execution part, a parameter adjustment part, and an instruction transmission part arranged between the function execution part and the parameter adjustment part for linking the function execution part and the parameter adjustment part.

5. The method for recovering heavy metals from metal surface treatment wastewater according to claim 4, characterized in that, The function execution part is used for the function implemented by the preset program; The parameter adjustment part includes a parameter adjustment area and a verification area; The instruction transmission part has an internal analysis node and an external analysis node; The internal analysis node is used for storing an internal instruction chain, and the internal instruction chain is used for loading the parameter adjustment area into the function execution part through the internal instruction chain when the logical analysis model enables simulation verification, and the function execution part performs initialization simulation verification and then transmits the verification result from the internal instruction chain to the verification area for detection by the verification area; The external analysis node is used for writing and storing the association relationship and the corresponding processing chain of other waste liquid categories.

6. The method for recovering heavy metals from metal surface treatment wastewater according to claim 5, characterized in that, The external analysis node has a plurality of analysis units, each analysis unit is used for writing the association relationship of other waste liquid categories, and the function transmission between the association relationships is realized by constructing the processing chain.

7. The method according to claim 6, wherein the metal surface treatment waste liquid is a waste liquid from a process of treating a metal surface with a zincate solution. The analysis unit has several control bits, each control bit is used for corresponding writing the association relationship of other waste liquid categories; and the control bits configure the linking relationship of different control bits in the same analysis unit according to the cross association relationship between different waste liquid categories.

8. A system for recovering heavy metals from metal surface treatment wastewater, characterized in that, The method is applied to the recycling method of any one of claims 1-7, comprising: A predefined category division unit (1) is used to divide the predefined categories according to the waste liquid categories formed by the waste liquid classification model; A first configuration unit is used to configure several process modules (3) in a central control unit to correspondingly match the predefined categories; A logical analysis model (2) is used to select the processing program corresponding to the target recycling function based on the component parameters corresponding to the waste liquid categories and the target recycling function card; The logical analysis model has several preset processing programs, and the logical analysis model identifies the target recycling function card to match the several processing programs corresponding to the target recycling function card. The logical analysis model loads the component parameters, writes the component parameters into the matched several processing programs, and outputs simulation results by simulating running in the logical analysis model, and selects the processing program suitable for the component parameters through the simulation results. The processing program at least includes a function execution part, a parameter adjustment part, and an instruction transmission part arranged between the function execution part and the parameter adjustment part for linking the function execution part and the parameter adjustment part. The function execution part is used for the function implemented by the preset program; The parameter adjustment part includes a parameter adjustment area and a verification area; The instruction transmission part has an internal analysis node and an external analysis node; The internal analysis node is used for storing an internal instruction chain, and the internal instruction chain is used for loading the parameter adjustment area into the function execution part through the internal instruction chain when the logical analysis model enables simulation verification, and the function execution part performs initialization simulation verification and then transmits the verification result from the internal instruction chain to the verification area for detection by the verification area; The external analysis node is used for writing and storing the association relationship and the corresponding processing chain of other waste liquid categories. The external analysis node has a plurality of analysis units, each analysis unit is used for writing the association relationship of other waste liquid categories, and the function transmission between the association relationships is realized by constructing the processing chain. The analysis unit has several control bits, each control bit is used for corresponding writing the association relationship of other waste liquid categories; and the control bits configure the linking relationship of different control bits in the same analysis unit according to the cross association relationship between different waste liquid categories. The second configuration unit is configured to write the processing program into the process module (3) corresponding to the waste liquid category, and the processing program contains at least one analysis node, in which the correlation between the waste liquid categories and the corresponding processing chain are defined.

9. The system for recovering heavy metals from a metal surface treatment waste liquid according to claim 8, wherein The logic analysis model (2) comprises: A storage unit is configured to store a plurality of preset processing programs matched with the waste liquid category and the component parameter of the waste liquid category; An identification unit is configured to identify the target recycling function card to match a plurality of processing programs corresponding to the target recycling function card.

10. The system for recovering heavy metals from a metal surface treatment waste liquid according to claim 8, wherein The processing program at least includes a function execution part (5), a parameter adjustment part (6), and an instruction transmission part (7) arranged between the function execution part (5) and the parameter adjustment part (6) for linking the function execution part (5) and the parameter adjustment part (6).

Images