A method for optimizing operation of a multi-stage oxidation treatment system for high-salinity wastewater

Abstract

The application discloses a kind of high-salinity wastewater multistage oxidation treatment system's optimization operation method, it is related to high-salinity wastewater technical field, the steps of this method include: by integrated sensor and processor, collection each level reaction pool oxidation parameter;Based on initial water quality setting target degradation efficiency, maximum oxidant dosing threshold and byproduct concentration threshold;By sliding mode-PID compound controller adjustment each level oxidant dosing quantity;Set dynamic oxidant parameter regulation strategy, according to real-time temperature and pH value, dynamically adjust oxidant mixing speed and reaction time;If the byproduct concentration of any stage is greater than 1.2 times byproduct concentration threshold, or cumulative reagent cost exceeds the reagent cost threshold set, update target degradation efficiency, maximum oxidant dosing threshold and byproduct concentration threshold, and trigger alarm.The application solves the problem that it is difficult to accurately control the dosing quantity of oxidant at each stage in the multistage oxidation process to achieve the best degradation effect while reducing the cost of reagents.

Description

Technical Field

[0001] This invention relates to the field of high-salinity wastewater technology, specifically to an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater. Background Technology

[0002] Multistage oxidation technology, as an advanced chemical treatment method, involves sequentially introducing wastewater into multiple oxidation reaction stages. This fully utilizes the decomposition effects of each stage on different types of organic matter, enabling the complete oxidation and mineralization of high-concentration organic pollutants. However, the complexity of the reaction system under high salinity, such as the influence of salt on oxidation reaction kinetics and the formation of byproducts, necessitates precise control and dynamic optimization of the multistage oxidation system to achieve safe, economical, and efficient operation.

[0003] In recent years, with the gradual application of the Internet of Things (IoT), automated control technology and machine learning methods in environmental protection engineering, how to accurately control the dosage of each stage of oxidant in the multi-stage oxidation process to achieve the best degradation effect while reducing the cost of reagents has become an urgent problem to be solved. Excessive dosage may lead to the accumulation of by-products and increase the burden of secondary treatment, while insufficient dosage may fail to achieve the degradation target.

[0004] Therefore, the present invention provides an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater. Summary of the Invention

[0005] The purpose of this invention is to provide an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater, so as to solve the existing problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater, comprising the following steps: S1. Oxidation parameters of each stage of the reaction tank are collected by integrating sensors and processors; S2. Set target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold based on initial water quality; S3. Adjust the dosage of oxidant at each stage using a sliding mode-PID composite controller; S4. Set a dynamic oxidant parameter control strategy to dynamically adjust the oxidant mixing rate and reaction time based on real-time temperature and pH value; S5. If the concentration of any primary byproduct is greater than 1.2 times the byproduct concentration threshold, or the cumulative reagent cost exceeds the set reagent cost threshold, return to S2, update the target degradation efficiency, the maximum oxidant addition threshold, and the byproduct concentration threshold, and trigger an alarm.

[0007] A further improvement of the present invention is that the sliding mode-PID composite controller specifically includes: S31. Using the by-product concentration as a constraint, the difference between the by-product concentration and the preset by-product concentration threshold is used as the sliding surface. S32. The equivalent control law is used to maintain the system state on the sliding surface. The equivalent control law for oxidant addition and the switching control law for oxidant addition are calculated by multiplying the gain of the sliding surface and the equivalent controller. The total control law is obtained by adding the equivalent control law and the switching control law. ; S33. When the concentration of by-products rises above the set threshold within the rated time T, the current oxidant addition is directly cut off and the standby process is activated; otherwise, proceed to S34. S34. Adjust the dosage of oxidant at each stage by switching the control rate until the sliding surface is less than 0.

[0008] A further improvement of this invention is that the sliding mode-PID composite controller further includes: comparing the actual degradation efficiency with the target efficiency to generate an error signal; directly adjusting the oxidant dosage according to the magnitude of the error; accumulating historical errors to predict future error trends, and obtaining PID output. The comprehensive oxidant dosage control signal was obtained. ,in Based on the baseline dosage, and Indicates the weight.

[0009] A further improvement of this invention lies in that the dynamic oxidant parameter control strategy inputs temperature, pH value, and oxidant concentration data into a central controller, updates it every 5 seconds to form a dynamic parameter matrix; and calculates the first mixing rate through a temperature-dynamic speed adjustment strategy. The second mixing rate was calculated using a dynamic pH-based rate adjustment strategy. , and The sliding mode controller gain is used to couple the temperature-based dynamic speed control strategy and the pH-based dynamic speed control strategy to obtain the mixing speed adjustment value: ; in, Indicates standard temperature. Indicates standard pH value. and Indicates weight, The controller calculates the mixing speed adjustment value based on real-time data and outputs the command to the variable frequency stirrer.

[0010] A further improvement of this invention is that the reaction time is dynamically controlled based on real-time temperature and pH value. A temperature-reaction rate model is constructed according to the Arrhenius equation, and then pH oxidation efficiency is corrected to obtain the corrected reaction time. ; in, This represents the set baseline reaction time, R represents the gas constant, and Ea represents the activation energy of the reaction.

[0011] A further improvement of this invention lies in that the oxidation parameters of each stage of the reaction tank include organic matter concentration, oxidant concentration, by-product concentration, temperature, and pH value; based on historical operating data, a mathematical model is constructed based on an SVM model to establish the relationship between wastewater quality and oxidation reaction efficiency, thereby obtaining the required oxidant dosage to achieve the target degradation effect under specific initial conditions, and setting a safe maximum dosage threshold. Simultaneously, the maximum concentration of by-products generated during the reaction is extracted as the by-product concentration threshold; through experiments, the reaction conditions and oxidant dosage required to achieve a 90% COD removal rate under the current water quality are determined, thus obtaining the target degradation efficiency.

[0012] A further improvement of this invention is that the update rules for the target degradation efficiency, the maximum oxidant dosage threshold, and the byproduct concentration threshold include modifying the target conditions for the target degradation efficiency to the reaction conditions and oxidant dosage required to achieve a COD removal rate of 92%.

[0013] On the other hand, the present invention provides an optimized operating system for a multi-stage oxidation treatment system for high-salinity wastewater, comprising: The data acquisition module, through the integration of sensors and processors, collects oxidation parameters of each stage of the reaction tank; The data setting module sets the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold based on the initial water quality. A sliding mode-PID composite controller module is constructed to adjust the dosage of oxidant at each stage through the sliding mode-PID composite controller. The dynamic oxidant parameter control strategy module dynamically adjusts the oxidant mixing rate and reaction time based on real-time temperature and pH value. If the concentration of any primary byproduct exceeds 1.2 times the byproduct concentration threshold, or the cumulative reagent cost exceeds the set reagent cost threshold, the data update module returns to S2 to update the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold, and triggers an alarm.

[0014] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention firstly uses a sliding mode and PID composite control algorithm to dynamically adjust the dosage of oxidant based on real-time feedback data, which not only prevents the generation of by-products due to excessive dosage, but also ensures efficient degradation under fluctuating water quality conditions. 2. By controlling the algorithm, unnecessary oxidant addition is reduced, and the amount of reagents used is decreased, thereby saving chemical reagent costs; at the same time, the optimized mixing speed and reaction time control effectively reduce energy consumption. Attached Figure Description

[0015] Figure 1 This is a flowchart of an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater according to the present invention; Figure 2 The following is a flowchart of a sliding mode-PID composite controller for an optimized operation method of a multi-stage oxidation treatment system for high-salt wastewater according to the present invention. Figure 3 This is a system framework diagram of an optimized operation system for a multi-stage oxidation treatment system for high-salt wastewater according to the present invention. Detailed Implementation

[0016] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0017] The term "and / or" simply describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0018] Example 1 Figure 1 The flowchart illustrates an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater disclosed in this embodiment. The steps are as follows: S1. By integrating sensors and processors, including organic matter concentration sensors, oxidant concentration sensors, by-product sensors, pH sensors, and temperature sensors, oxidation parameters of each stage of the reaction tank are collected; the oxidation parameters of each stage of the reaction tank include organic matter concentration. Oxidant concentration Byproduct concentration Temperature T and pH value S2. Set target degradation efficiency based on initial water quality. Maximum oxidant dosage threshold and byproduct concentration threshold ; Based on historical operating data, a mathematical model was constructed using the SVM model to establish the relationship between wastewater quality and oxidation reaction efficiency. This model yielded the required oxidant dosage to achieve the target degradation effect under specific initial conditions, and a safe maximum dosage threshold was set. Simultaneously, the maximum concentration of byproducts generated during the reaction was extracted as the byproduct concentration threshold. Through experiments, the reaction conditions and oxidant dosage required to achieve a 90% COD removal rate under the current water quality were determined, thus obtaining the target degradation efficiency.

[0019] S3. Adjust the dosage of oxidant at each stage using a sliding mode-PID composite controller.

[0020] Example 2 Figure 2 The present invention illustrates an optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater using a sliding mode-PID composite controller. Based on the inventive concept of Embodiment 1, the method adjusts the dosage of oxidant at each stage using a sliding mode-PID composite controller. The specific steps include: S31. Using the by-product concentration as a constraint, the difference between the by-product concentration and the preset by-product concentration threshold is used as the sliding surface. S32. Use the equivalent control law to maintain the system state on the sliding surface, and define the sliding surface. The equivalent control rate and the oxidant dosing switching control rate are calculated by multiplying the sliding surface gain by the equivalent controller gain. The equivalent control rate is expressed as follows: The switching control rate is expressed as The total control law is obtained by adding the equivalent control law and the switching control law. ; S33. When the concentration of by-products rises above the set threshold within the rated time T, the current oxidant addition is directly cut off and the standby process is activated; otherwise, proceed to S34. S34. Adjust the dosage of oxidant at each stage by switching the control rate. , until the sliding surface is less than 0.

[0021] The sliding mode-PID composite controller further includes: comparing the actual degradation efficiency with the target efficiency to generate an error signal; the actual degradation efficiency... The amount of oxidant added is adjusted directly according to the magnitude of the error. The error is expressed as follows: The cumulative historical error is used to predict future error trends, resulting in the proportional term (P): the oxidant dosage is directly adjusted based on the error magnitude; the larger the error, the greater the increase in dosage. The integral term (I): accumulates historical errors to address long-term deviations. The derivative term (D): predicts future error trends to prevent overshoot (e.g., reducing dosage in advance when degradation efficiency rapidly increases). This yields the PID output. The comprehensive oxidant dosage control signal was obtained. ,in Based on the baseline dosage, and Indicates the weight.

[0022] A sliding mode-PID composite control strategy is employed to dynamically regulate the oxidant dosage. The system is based on the error between the actual degradation effect (e.g., COD removal rate) and the target value. Through proportional, integral, and derivative calculations, the system dynamically adjusts the oxidant dosage, enabling both rapid response to instantaneous deviations and gradual correction of long-term deviations, ensuring a steady improvement in degradation efficiency.

[0023] The combination of two control strategies ensures that the oxidant dosage is neither excessive, leading to byproducts, nor insufficient, affecting degradation efficiency, thus guaranteeing stable and efficient system operation. Furthermore, it adapts to water quality fluctuations and responds quickly to emergencies such as sudden increases in byproducts or decreases in COD removal rate, ensuring safe and stable system operation. Precise control of the dosage effectively reduces oxidant waste, saves operating costs, and avoids secondary treatment costs caused by excessive byproducts. S4. Set a dynamic oxidant parameter control strategy to dynamically adjust the oxidant mixing rate and reaction time based on real-time temperature and pH value; The dynamic oxidant parameter control strategy inputs temperature, pH, and oxidant concentration data into a central controller, updating it every 5 seconds to form a dynamic parameter matrix. In high-temperature scenarios, increased temperature accelerates oxidant decomposition, necessitating a reduction in mixing speed. In low-temperature scenarios, increasing the mixing speed enhances mass transfer efficiency and compensates for insufficient reaction rate. The first mixing speed is calculated through a temperature-dynamic speed adjustment strategy. The second mixing rate was calculated using a dynamic pH-based rate adjustment strategy. , and The sliding mode controller gain is used to couple the temperature-based dynamic speed control strategy and the pH-based dynamic speed control strategy to obtain the mixing speed adjustment value: ; in, Indicates standard temperature. Indicates standard pH value. and Indicates weight, The controller calculates the mixing speed adjustment value based on real-time data and outputs the command to the variable frequency stirrer.

[0024] The reaction time is dynamically adjusted based on real-time temperature and pH. According to the Arrhenius equation, increasing the temperature accelerates the reaction rate and shortens the reaction time. Therefore, a temperature-reaction rate model is constructed, and then pH oxidation efficiency is corrected to obtain the corrected reaction time. ; in, This represents the set baseline reaction time, R represents the gas constant, and Ea represents the activation energy of the reaction.

[0025] S5. If the concentration of any primary byproduct is greater than 1.2 times the byproduct concentration threshold, or the cumulative reagent cost exceeds the set reagent cost threshold, return to S2, update the target degradation efficiency, the maximum oxidant addition threshold, and the byproduct concentration threshold, and trigger an alarm.

[0026] The update rules for the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold include modifying the target conditions for the target degradation efficiency to the reaction conditions and oxidant dosage required to achieve a COD removal rate of 92%.

[0027] Example 3 Figure 3 This invention presents an optimized operating system framework diagram for a multi-stage oxidation treatment system for high-salinity wastewater. Based on the same inventive concept as Example 1, this invention provides an optimized operating system for a multi-stage oxidation treatment system for high-salinity wastewater, comprising: The data acquisition module, through the integration of sensors and processors, collects oxidation parameters of each stage of the reaction tank; The data setting module sets the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold based on the initial water quality. A sliding mode-PID composite controller module is constructed to adjust the dosage of oxidant at each stage through the sliding mode-PID composite controller. The dynamic oxidant parameter control strategy module dynamically adjusts the oxidant mixing rate and reaction time based on real-time temperature and pH value. If the concentration of any primary byproduct exceeds 1.2 times the byproduct concentration threshold, or the cumulative reagent cost exceeds the set reagent cost threshold, the data update module returns to S2 to update the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold, and triggers an alarm.

[0028] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0029] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0030] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0031] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0032] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. An optimized operation method for a multi-stage oxidation treatment system for high-salinity wastewater, characterized in that: Includes the following steps: S1. Oxidation parameters of each stage of the reaction tank are collected by integrating sensors and processors; S2. Set target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold based on initial water quality; S3. Adjust the dosage of oxidant at each stage using a sliding mode-PID composite controller; S4. Set a dynamic oxidant parameter control strategy to dynamically adjust the oxidant mixing rate and reaction time based on real-time temperature and pH value; S5. If the concentration of any primary byproduct is greater than 1.2 times the byproduct concentration threshold, or the cumulative reagent cost exceeds the set reagent cost threshold, return to S2, update the target degradation efficiency, the maximum oxidant addition threshold, and the byproduct concentration threshold, and trigger an alarm. The sliding mode-PID composite controller specifically includes: S31. Using the by-product concentration as a constraint, the difference between the by-product concentration and the preset by-product concentration threshold is used as the sliding surface. S32. The equivalent control law is used to maintain the system state on the sliding surface. The equivalent control law for oxidant addition and the switching control law for oxidant addition are calculated by multiplying the gain of the sliding surface and the equivalent controller. The total control law is obtained by adding the equivalent control law and the switching control law. ; S33. When the concentration of by-products rises above the set threshold within the rated time T, the current oxidant addition is directly cut off and the standby process is activated; otherwise, proceed to S34. S34. Adjust the dosage of oxidant at each stage by switching the control rate until the sliding surface is less than 0; The sliding mode-PID composite controller further includes: comparing the actual degradation efficiency with the target efficiency to generate an error signal; directly adjusting the oxidant dosage according to the error magnitude; accumulating historical errors to predict future error trends and obtaining PID output. The comprehensive oxidant dosage control signal was obtained. ,in Based on the baseline dosage, This is the maximum oxidant dosage threshold. and Indicates the weight.

2. The optimized operation method of a multi-stage oxidation treatment system for high-salinity wastewater according to claim 1, characterized in that: The dynamic oxidant parameter control strategy inputs temperature, pH, and oxidant concentration data into a central controller, updating it every 5 seconds to form a dynamic parameter matrix; and calculates the first mixing rate through a temperature-dynamic speed adjustment strategy. The second mixing rate was calculated using a dynamic pH-based rate adjustment strategy. , and The sliding mode controller gain is used to couple the temperature-based dynamic speed control strategy and the pH-based dynamic speed control strategy to obtain the mixing speed adjustment value: ； in, Indicates standard temperature. Indicates standard pH value. and Indicates weight, The controller calculates the mixing speed adjustment value based on real-time data and outputs the command to the variable frequency stirrer.

3. The optimized operation method of a multi-stage oxidation treatment system for high-salinity wastewater according to claim 1, characterized in that: The reaction time is dynamically adjusted based on real-time temperature and pH. A temperature-reaction rate model is constructed using the Arrhenius equation, and then pH oxidation efficiency is corrected to obtain the corrected reaction time. ； in, This represents the set baseline reaction time, R represents the gas constant, and Ea represents the activation energy of the reaction.

4. The optimized operation method of a multi-stage oxidation treatment system for high-salinity wastewater according to claim 1, characterized in that: The oxidation parameters of each stage of the reaction tank include organic matter concentration, oxidant concentration, by-product concentration, temperature, and pH value. Based on historical operating data, a mathematical model is constructed using an SVM model to establish the relationship between wastewater quality and oxidation reaction efficiency. This model yields the required oxidant dosage to achieve the target degradation effect under specific initial conditions and sets a safe maximum dosage threshold. Simultaneously, the maximum concentration of by-products generated during the reaction is extracted as the by-product concentration threshold. Through experiments, the reaction conditions and oxidant dosage required to achieve a 90% COD removal rate under the current water quality are determined, thus obtaining the target degradation efficiency.

5. The optimized operation method of a multi-stage oxidation treatment system for high-salinity wastewater according to claim 1, characterized in that: The update rules for the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold include modifying the target conditions for the target degradation efficiency to the reaction conditions and oxidant dosage required to achieve a COD removal rate of 92%.

6. A multi-stage oxidation treatment system for high-salinity wastewater, used to execute the optimized operation method of the multi-stage oxidation treatment system for high-salinity wastewater as described in any one of claims 1-5, characterized in that: include: The data acquisition module, through the integration of sensors and processors, collects oxidation parameters of each stage of the reaction tank; The data setting module sets the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold based on the initial water quality. A sliding mode-PID composite controller module is constructed to adjust the dosage of oxidant at each stage through the sliding mode-PID composite controller. The dynamic oxidant parameter control strategy module dynamically adjusts the oxidant mixing rate and reaction time based on real-time temperature and pH value. If the concentration of any primary byproduct exceeds 1.2 times the byproduct concentration threshold, or the cumulative reagent cost exceeds the set reagent cost threshold, the data update module returns to S2 to update the target degradation efficiency, maximum oxidant dosage threshold, and byproduct concentration threshold, and triggers an alarm.

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