A method, device, equipment and medium for processing rare earth processing wastewater

Abstract

The present application relates to a kind of rare earth processing wastewater treatment method, device, equipment and medium, it relates to wastewater treatment and intelligent control technical field, its method includes: through multistage sensor real-time collection rare earth processing wastewater in different processing unit initial water quality parameter;Using water quality prediction model and preset process parameters, the dosing quantity of each processing unit and aeration control parameter are calculated;According to the conductivity and pH value of real-time feedback, using self-adaptive fuzzy control algorithm dynamically adjusts the frequency of reagent dosing pump;The effluent quality is detected on-line, if not up to standard, then automatically switch back to flow valve and carry out cyclic treatment.The present application is fused with intelligent algorithm control by multiple sensors, realizes the accurate and efficient removal of ammonia nitrogen, heavy metal and fluoride ion in rare earth processing wastewater, reduces reagent consumption, improves the stability and automation level of wastewater treatment system.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment and intelligent control technology, and in particular to a method, apparatus, equipment and medium for treating rare earth processing wastewater. Background Technology

[0002] Rare earth elements have extremely wide applications in industries such as metallurgy, petrochemicals, glass and ceramics, and electronics. The mining, smelting, and processing of rare earths generate large amounts of acidic wastewater. This type of rare earth processing wastewater typically contains high concentrations of ammonia nitrogen, heavy metal ions (such as lanthanum, cerium, and neodymium), and fluoride ions, among other pollutants. Its complex and fluctuating composition poses a serious threat to the surrounding ecological environment. Therefore, how to efficiently and stably treat rare earth processing wastewater to meet national emission standards is a crucial issue that urgently needs to be addressed in the environmental protection field.

[0003] Traditional rare earth processing wastewater treatment often employs a combination of physicochemical methods (such as neutralization sedimentation, coagulation and flotation) and biological methods (such as activated sludge and biofilm processes). In actual operation, operators typically adjust the dosage of acids and alkalis and the ratio of chemical reagents manually based on the influent water quality test report, and manually adjust the operating frequency of the aerators based on experience. However, the drainage from rare earth processing workshops is intermittent and unpredictable, causing the water quality and quantity in the wastewater equalization tank to change rapidly. Traditional manual or fixed parameter control methods often suffer from significant lag.

[0004] Because it is impossible to adjust the dosage and aeration intensity of chemicals in real time and accurately according to the influent load, it is easy to cause excessive or insufficient dosage of chemicals in the chemical sedimentation tank, resulting in waste of chemicals or excessive heavy metals in the effluent. At the same time, improper control of aeration can also directly affect the activity of microorganisms in the membrane bioreactor, leading to a decrease in ammonia nitrogen removal rate or severe clogging of the ultrafiltration membrane module. Summary of the Invention

[0005] To address the aforementioned problems, this application provides a method, apparatus, equipment, and medium for treating rare earth processing wastewater.

[0006] Firstly, this application provides a method for treating rare earth processing wastewater.

[0007] A method for treating rare earth processing wastewater includes the following steps: Step S1: The initial water quality parameters of rare earth processing wastewater are collected in real time by multi-level sensors deployed in the wastewater equalization tank, chemical precipitation tank and membrane bioreactor. The initial water quality parameters include pH value, heavy metal ion concentration, fluoride ion concentration, ammonia nitrogen concentration and suspended solids concentration. Step S2: Input the initial water quality parameters into the preset reagent addition prediction model, calculate the initial reagent addition amount of the chemical precipitation tank, and calculate the initial aeration amount of the membrane bioreactor based on the ammonia nitrogen concentration. Step S3: Based on the real-time feedback of pH value and conductivity in the chemical precipitation tank, the frequency of the reagent dosing pump is dynamically adjusted using an adaptive fuzzy control algorithm to correct the reagent dosage. Step S4: Collect the dissolved oxygen concentration in the membrane bioreactor and use a PID control algorithm to adjust the frequency of the blower so that the dissolved oxygen concentration is maintained within the preset target range. Step S5: Monitor the water quality parameters of the effluent from the membrane bioreactor online. When the water quality parameters of the effluent do not meet the preset discharge standards, control the reflux valve to open and return the effluent to the wastewater equalization tank for recycling treatment.

[0008] By adopting the above technical solution, which combines multi-sensor acquisition with model prediction, the initial dosage and aeration rate can be calculated in advance based on the influent water quality parameters. Combined with adaptive fuzzy control and PID closed-loop regulation, the technical difficulties of large water quality fluctuations and strong time delays in rare earth wastewater treatment are effectively overcome, achieving precise dosing of chemicals, avoiding waste of chemical agents, and reducing operating costs.

[0009] Preferably, in step S2, the drug dosage prediction model calculates the initial drug dosage using the following formula:

[0010] in, This is the initial dosage of the drug. This is the equivalence coefficient of the drug reaction. To target the removal of ion concentration, The volume of wastewater to be treated This is the acid-base adjustment coefficient. For the target pH value, This is the initial pH value.

[0011] By adopting the above technical solution and using a prediction model based on physicochemical reaction mechanism, the required baseline dosage of chemical reagents can be quickly estimated according to the influent flow rate and pollutant concentration. This avoids the problem of serious over- or under-dosing of reagents caused by traditional manual estimation, and improves reaction efficiency.

[0012] Preferably, step S3 involves dynamically adjusting the frequency of the reagent dosing pump using an adaptive fuzzy control algorithm, including: Using the deviation e between the real-time pH value and the target pH value and the rate of change of the deviation ec as input variables, the frequency correction value of the reagent dosing pump is output after fuzzification processing, fuzzy inference and defuzzification calculation. ; Calculate the actual operating frequency of the reagent dosing pump ,in This is the baseline frequency calculated based on the initial dosage of the drug.

[0013] By adopting the above technical solution, fuzzy control does not require the establishment of a precise mathematical model. It can effectively overcome the interference of nonlinearity, large hysteresis and drastic fluctuations in water quality during the chemical precipitation process of rare earth wastewater on the control system, realize rapid and stable adjustment of the dosing process, and ensure the stability of pH value and ion concentration in the reaction tank.

[0014] Preferably, the target range for dissolved oxygen concentration in step S4 is 2.0 mg / L to 3.5 mg / L.

[0015] By adopting the above technical solution, dissolved oxygen is maintained within a reasonable range, which not only ensures sufficient oxygen for nitrifying bacteria and other microorganisms to decompose ammonia nitrogen, but also avoids energy waste and damage to the sludge floc structure caused by excessive aeration.

[0016] Secondly, this application provides a device for treating rare earth processing wastewater.

[0017] A treatment device for rare earth processing wastewater includes: a data acquisition module for real-time acquisition of initial water quality parameters of the rare earth processing wastewater through multi-level sensors deployed in a wastewater equalization tank, a chemical precipitation tank, and a membrane bioreactor. The initial water quality parameters include pH value, heavy metal ion concentration, fluoride ion concentration, ammonia nitrogen concentration, and suspended solids concentration; a model calculation module for inputting the initial water quality parameters into a preset reagent dosing prediction model to calculate the initial reagent dosing amount in the chemical precipitation tank and the initial aeration rate of the membrane bioreactor based on the ammonia nitrogen concentration; and a first control module for... The first control module dynamically adjusts the frequency of the reagent dosing pump based on real-time feedback of pH and conductivity from the chemical precipitation tank, thereby correcting the reagent dosage. The second control module collects the dissolved oxygen concentration in the membrane bioreactor and uses a PID control algorithm to adjust the frequency of the blower to maintain the dissolved oxygen concentration within a preset target range. The third control module monitors the water quality parameters of the effluent from the membrane bioreactor online. When the effluent water quality parameters do not meet the preset discharge standards, the effluent valve is opened to return the effluent to the wastewater equalization tank for recycling.

[0018] By adopting the above technical solution, an integrated hardware and software control device was constructed, realizing data exchange and closed-loop linkage control of various process links in rare earth wastewater treatment, and ensuring the continuous and stable operation of the treatment system.

[0019] Preferably, the first control module includes: a fuzzification unit for converting the deviation e and the rate of change of deviation ec into fuzzy linguistic variables; an inference control unit for performing fuzzy inference according to preset fuzzy control rules to obtain the output fuzzy quantity; and a defuzzification unit for performing defuzzification calculation on the output fuzzy quantity and outputting the frequency correction value of the drug dosing pump. .

[0020] By adopting the above technical solution, the specific structure of fuzzy control has been refined, making the frequency correction calculation process more standardized and clear, and ensuring the operating efficiency of the controller in embedded devices.

[0021] Thirdly, this application provides a treatment device for rare earth processing wastewater.

[0022] A rare earth processing wastewater treatment device includes: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the rare earth processing wastewater treatment method described above.

[0023] By adopting the above technical solution, a hardware carrier is provided, which enables the processing method to be embedded in the controller or industrial computer, realizing the automated control deployment on site.

[0024] Fourthly, this application provides a computer-readable storage medium.

[0025] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for treating rare earth processing wastewater.

[0026] By adopting the above technical solutions, the storage, distribution, and upgrading of software programs are facilitated, and the maintainability of the system is improved.

[0027] In summary, this application includes at least one of the following beneficial technical effects: By combining multi-sensor data acquisition with model prediction, the initial dosage and aeration rate can be calculated in advance based on the influent water quality parameters. Combined with adaptive fuzzy control and PID closed-loop regulation, this effectively overcomes the technical challenges of large water quality fluctuations and strong time delays in rare earth wastewater treatment, achieving precise dosing of chemicals, avoiding chemical waste, and reducing operating costs. The system employs online monitoring of effluent quality and an automatic recirculation mechanism for substandard water. When the effluent quality is abnormal, the recirculation valve is automatically opened to guide the wastewater back to the regulating tank, forming a safe closed loop. This ensures that the final discharged wastewater meets the standards and improves the safety and shock load resistance of the rare earth processing wastewater treatment system. Attached Figure Description

[0028] Figure 1 This is a flowchart of a method for treating rare earth processing wastewater.

[0029] Figure 2 This is a schematic diagram of a method for treating rare earth processing wastewater.

[0030] Figure 3 This is a schematic diagram of a device for treating rare earth processing wastewater.

[0031] Figure 4 This is a schematic diagram highlighting the first control module in a rare earth processing wastewater treatment device.

[0032] Explanation of reference numerals in the attached drawings: 1, ; 2, ; 3, ; 4, ; 5, ; 6, . Detailed Implementation

[0033] The present application will be further described in detail below with reference to all the accompanying drawings.

[0034] This application discloses a method for treating rare earth processing wastewater.

[0035] Reference Figure 1 and Figure 2 A method for treating rare earth processing wastewater includes the following steps: Step S1: Initial water quality parameters of rare earth processing wastewater are collected in real time using multi-level sensors deployed in the wastewater equalization tank, chemical precipitation tank, and membrane bioreactor. These initial water quality parameters include pH value, heavy metal ion concentration, fluoride ion concentration, ammonia nitrogen concentration, and suspended solids concentration. In this embodiment, the heavy metal ion concentration includes rare earth metal ion concentration, and the rare earth metal ions are selected from at least two of lanthanum (La), cerium (Ce), praseodymium (Pr), and neodymium (Nd). The initial water quality parameter collection period is set to 10 minutes.

[0036] Step S2: Input the initial water quality parameters into the preset reagent dosing prediction model to calculate the initial reagent dosage for the chemical sedimentation tank, and calculate the initial aeration rate for the membrane bioreactor based on the ammonia nitrogen concentration. The reagent dosing prediction model calculates the initial reagent dosage using the following formula:

[0037] In the formula: Initial dosage of the reagent (unit: L); The reaction equivalence coefficient is used for the pharmaceutical reaction. Based on experience and laboratory measurements, the value range in this example is 1.05~1.20. The concentration of ions to be removed (e.g., the sum of the molar concentrations of fluoride ions and rare earth metal ions, in mol / L). Volume of wastewater to be treated (unit: ); This is the acid-base adjustment coefficient, used to calculate the volume of alkali required to adjust the pH to the set value. In this embodiment, the value is 0.08. The target pH value is set to 9.0; This is the initial pH value.

[0038] Step S3: Based on the real-time feedback of pH and conductivity in the chemical precipitation tank, the frequency of the reagent dosing pump is dynamically adjusted using an adaptive fuzzy control algorithm to correct the reagent dosage. Specifically, this includes using the deviation e between the real-time pH value and the target pH value, and the rate of change of the deviation ec, as input variables. After fuzzification processing, fuzzy inference, and defuzzification calculation, the corrected frequency value of the reagent dosing pump is output. ; Calculate the actual operating frequency of the reagent dosing pump ,in Compared with the initial dosage The conversion formula is:

[0039] in, The frequency-flow calibration coefficient of the pump is expressed in Hz / (L / h). In this embodiment, the value is taken as 2.5 based on the rated parameters of the agent dosing pump. The dosing control cycle is set to 0.5 hours.

[0040] Step S4: Collect the dissolved oxygen concentration in the membrane bioreactor and adjust the blower frequency using a PID control algorithm to maintain the dissolved oxygen concentration within a preset target range. In this embodiment, the target range is set to 2.0 mg / L to 3.5 mg / L, preferably 2.5 mg / L.

[0041] Step S5: Monitor the water quality parameters of the effluent from the membrane bioreactor online. When the water quality parameters of the effluent do not meet the preset discharge standards, control the reflux valve to open and return the effluent to the wastewater equalization tank for recycling treatment.

[0042] The working principle of a rare earth processing wastewater treatment method according to an embodiment of this application is as follows: The rare earth processing wastewater first enters a wastewater equalization tank for water quality and quantity homogenization, with multi-level sensors monitoring the wastewater quality in real time. Based on a water quality prediction model, the system first calculates a basic dosage and aeration rate, enabling valves and pumps to quickly locate the baseline operating point and overcome control lag. In the chemical precipitation tank, a fuzzy controller is constructed using online feedback of pH and conductivity. The frequency of the dosing pump is finely adjusted in real time based on the deviation and its rate of change, maintaining the chemical precipitation reaction within the optimal pH window to ensure the complete removal of fluoride ions and rare earth metal ions through precipitation. In the membrane bioreactor, a PID algorithm controls the aeration rate, maintaining the activity of nitrifying bacteria to remove ammonia nitrogen while avoiding over-aeration. If the final effluent fails the test, the system automatically re-processes the wastewater by controlling a solenoid valve, ensuring effluent safety.

[0043] This application also discloses a device for treating rare earth processing wastewater.

[0044] Reference Figure 3 and Figure 4 A rare earth processing wastewater treatment device, comprising: The data acquisition module is used to collect the initial water quality parameters of rare earth processing wastewater in real time through multi-level sensors deployed in the wastewater equalization tank, chemical precipitation tank and membrane bioreactor. The initial water quality parameters include pH value, heavy metal ion concentration, fluoride ion concentration, ammonia nitrogen concentration and suspended solids concentration. The model calculation module is used to input the initial water quality parameters into the preset reagent addition prediction model, calculate the initial reagent addition amount of the chemical precipitation tank, and calculate the initial aeration amount of the membrane bioreactor based on the ammonia nitrogen concentration. The first control module is used to dynamically adjust the frequency of the reagent dosing pump based on the real-time feedback of pH and conductivity in the chemical precipitation tank using an adaptive fuzzy control algorithm, thereby correcting the reagent dosage. The first control module includes a fuzzification unit (used to convert the deviation e and the rate of change of deviation ec into fuzzy linguistic variables), an inference control unit (used to perform fuzzy inference according to preset fuzzy control rules to obtain the output fuzzy quantity), and a defuzzification unit (used to perform defuzzification calculation on the output fuzzy quantity and output the frequency correction value of the reagent dosing pump). ); The second control module is used to collect the dissolved oxygen concentration in the membrane bioreactor and use a PID control algorithm to adjust the frequency of the blower so that the dissolved oxygen concentration is maintained within the preset target range. The reflux control module is used to monitor the water quality parameters of the effluent from the membrane bioreactor online. When the water quality parameters of the effluent do not meet the preset discharge standards, the reflux valve is opened to return the effluent to the wastewater equalization tank for recycling.

[0045] The working principle of a rare earth processing wastewater treatment device according to an embodiment of this application is as follows: The data acquisition module converts the electrical signals collected by the field sensors into digital signals of water quality concentration and transmits them to the model calculation module. The model calculation module calculates the baseline dosing output and aeration output according to the formula. The first control module and the second control module act as controllers for the actuators, receiving real-time status feedback from the chemical precipitation tank and the membrane bioreactor, respectively. They use fuzzy control algorithm and PID algorithm for closed-loop fine-tuning, driving the frequency converter to change the speed of the dosing pump and the blower. The reflux control module monitors the effluent water quality. If the quality exceeds the standard, it sends a switching signal to the electromagnetic three-way valve to force the wastewater to reflux, realizing fully automatic closed-loop control of the treatment device.

[0046] This application also discloses a rare earth processing wastewater treatment device, including a processor, a memory, a communication bus, and a communication interface. The processor and memory communicate with each other via the communication bus. The processor can be an ARM Cortex-A72 processor or an Intel Core i7-11700 industrial-grade processor. The memory stores the computer execution instructions for the rare earth processing wastewater treatment program, and can be DDR4 RAM or LPDDR4X RAM high-speed RAM. The communication interface connects to external data acquisition hardware and actuators, and can be an RS485 serial communication module or an RJ45 Ethernet communication module. The data acquisition hardware includes multi-stage sensors deployed in a wastewater equalization tank, a chemical precipitation tank, and a membrane bioreactor. The actuators include a reagent dosing pump, a blower, and a return valve. The processor controls the communication interface to read sensor data and sends control commands to the actuators by calling the computer execution instructions stored in the memory.

[0047] This application also discloses a computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements a method for treating rare earth processing wastewater as described in Embodiment 1. The computer-readable storage medium can be a non-volatile storage medium, specifically Flash Memory, SSD (Solid State Drive), or EEPROM (Electrically Erasable Programmable Read-Only Memory). The computer program includes a data acquisition instruction segment, a model prediction instruction segment, a fuzzy control instruction segment, a PID control instruction segment, and a reflux control instruction segment.

[0048] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for treating rare earth processing wastewater, characterized in that, Includes the following steps: Step S1: The initial water quality parameters of rare earth processing wastewater are collected in real time by multi-level sensors deployed in the wastewater equalization tank, chemical precipitation tank and membrane bioreactor. The initial water quality parameters include pH value, heavy metal ion concentration, fluoride ion concentration, ammonia nitrogen concentration and suspended solids concentration. Step S2: Input the initial water quality parameters into the preset reagent addition prediction model, calculate the initial reagent addition amount of the chemical precipitation tank, and calculate the initial aeration amount of the membrane bioreactor based on the ammonia nitrogen concentration. Step S3: Based on the real-time feedback of pH value and conductivity in the chemical precipitation tank, the frequency of the reagent dosing pump is dynamically adjusted using an adaptive fuzzy control algorithm to correct the reagent dosage. Step S4: Collect the dissolved oxygen concentration in the membrane bioreactor and use a PID control algorithm to adjust the frequency of the blower so that the dissolved oxygen concentration is maintained within the preset target range. Step S5: Monitor the water quality parameters of the effluent from the membrane bioreactor online. When the water quality parameters of the effluent do not meet the preset discharge standards, control the reflux valve to open and return the effluent to the wastewater equalization tank for recycling treatment.

2. A method for treating rare earth processing wastewater according to claim 1, characterized in that: In step S2, the drug dosing prediction model calculates the initial drug dosage using the following formula: ； in, This is the initial dosage of the drug. This is the equivalence coefficient of the drug reaction. To target the removal of ion concentration, The volume of wastewater to be treated This is the acid-base adjustment coefficient. For the target pH value, This is the initial pH value.

3. A method for treating rare earth processing wastewater according to claim 1, characterized in that: Step S3 involves dynamically adjusting the frequency of the reagent dosing pump using an adaptive fuzzy control algorithm, including: Using the deviation e between the real-time pH value and the target pH value and the rate of change of the deviation ec as input variables, the frequency correction value of the reagent dosing pump is output after fuzzification processing, fuzzy inference and defuzzification calculation. ; Calculate the actual operating frequency of the reagent dosing pump ,in This is the baseline frequency calculated based on the initial dosage of the drug.

4. A method for treating rare earth processing wastewater according to claim 1, characterized in that: The target range for dissolved oxygen concentration in step S4 is 2.0 mg / L to 3.5 mg / L.

5. A treatment device for rare earth processing wastewater, characterized in that, include: The data acquisition module is used to collect the initial water quality parameters of rare earth processing wastewater in real time through multi-level sensors deployed in the wastewater equalization tank, chemical precipitation tank and membrane bioreactor. The initial water quality parameters include pH value, heavy metal ion concentration, fluoride ion concentration, ammonia nitrogen concentration and suspended solids concentration. The model calculation module is used to input the initial water quality parameters into the preset reagent addition prediction model, calculate the initial reagent addition amount of the chemical precipitation tank, and calculate the initial aeration amount of the membrane bioreactor based on the ammonia nitrogen concentration. The first control module is used to dynamically adjust the frequency of the reagent dosing pump based on the real-time feedback of pH value and conductivity in the chemical precipitation tank, so as to correct the reagent dosing amount. The second control module is used to collect the dissolved oxygen concentration in the membrane bioreactor and use a PID control algorithm to adjust the frequency of the blower so that the dissolved oxygen concentration is maintained within the preset target range. The reflux control module is used to monitor the water quality parameters of the effluent from the membrane bioreactor online. When the water quality parameters of the effluent do not meet the preset discharge standards, the reflux valve is opened to return the effluent to the wastewater equalization tank for recycling.

6. A rare earth processing wastewater treatment device according to claim 5, characterized in that: The first control module includes: The fuzzification unit is used to convert the deviation e and the rate of change of deviation ec into fuzzy linguistic variables; The inference control unit is used to perform fuzzy inference according to preset fuzzy control rules and obtain the output fuzzy quantity; The defuzzification unit is used to perform defuzzification calculations on the output fuzzy value, and outputs the frequency correction value of the drug dosing pump. .

7. A treatment device for rare earth processing wastewater, characterized in that, include: At least one processor; and memory that is communicatively connected to at least one processor; The memory stores instructions that can be executed by at least one processor to enable the at least one processor to perform a method for treating rare earth processing wastewater as claimed in any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements a method for treating rare earth processing wastewater as described in any one of claims 1 to 4.

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