An Adaptive Current Control Method for Electrochemical Water Treatment

Abstract

The present invention relates to the technical field of electrochemical water treatment, and discloses an adaptive current control method for electrochemical water treatment, comprising the following steps: collecting the real-time conductivity and conductance interference variable of a target water sample; performing interference decoupling on the real-time conductivity based on the conductance interference variable to obtain the effective conductivity; obtaining an efficiency response curve; determining the current efficiency range based on the efficiency response curve and the effective conductivity; performing real-time regulation on the working current based on the current efficiency range; collecting the oxidation-reduction potential of the target water sample; and adjusting the distribution ratio of the working current in different reaction paths based on the oxidation-reduction potential and the effective conductivity of the target water sample. The present invention realizes precise control of the current during electrochemical water treatment, improves the current efficiency, and enhances the treatment effect of multiple pollutants.

Description

Technical Field

[0001] The present invention relates to the technical field of electrochemical water treatment, and particularly relates to an adaptive current control method for electrochemical water treatment. Background Art

[0002] In recent years, automation control technology has gradually been incorporated into electrochemical water treatment systems. Some advanced devices can achieve automatic adjustment of parameters such as current, voltage, and treatment time, adjust treatment conditions according to the quality of wastewater, and improve the stability of the treatment process. However, there are still some deficiencies in the existing electrochemical water treatment technologies.

[0003] Conductivity is an important indicator reflecting the ion content and conductivity in water, and is crucial for the control and optimization of the electrochemical water treatment process. However, factors such as the temperature and pH of the actual water sample will interfere with the conductivity measurement. Traditional measurement methods are difficult to accurately distinguish whether the change in conductivity is caused by the change in pollutant concentration or the measurement error caused by the change in conductance interference variables. This results in a lack of accuracy when adjusting treatment parameters according to conductivity, affecting the treatment effect and energy utilization efficiency.

[0004] In terms of the treatment selectivity in the coexistence of multiple pollutants, the existing technologies perform poorly. Actual wastewater often contains various pollutants, such as metal ions and organic substances. The traditional electrochemical water treatment mode usually adopts a fixed current mode, which cannot be flexibly adjusted according to the reaction priorities and characteristics of different pollutants, cannot take into account the treatment effects of multiple pollutants, and is difficult to meet strict emission standards.

[0005] For example, the Chinese patent with the authorization announcement number CN104402095B discloses an electrochemical water treatment system and its water treatment process, including an electrochemical water treatment tank, a pump, and a treated water holding tank; the electrochemical treatment tank is also connected to a power supply and an automatic control system, and the electrochemical water treatment tank, the pump, and the treated water holding tank are connected through pipelines; the electrochemical water treatment tank includes a tank body, a tank cover, a sealing door panel, and an anode; and a water outlet is fixed at the upper end of the tank body, and a water inlet is arranged at the lower right side; in the electrochemical water treatment system of this invention, the distances between the anode and the cathode on four surfaces are equal, making the current density on each surface of the inner cavity very uniform, improving the water treatment capacity; a unique sealing connection member is designed between the cathode and the anode, so that the connection between the power supply and the cathode and the anode will not come into contact with water, avoiding the problem that the anode cable is electrolyzed and the equipment fails. However, this invention still has the problems raised in the background art part of this application: it cannot be flexibly adjusted according to the reaction priorities and characteristics of different pollutants, and cannot take into account the treatment effects of multiple pollutants.

[0006] The information disclosed in this background section is only intended to enhance the overall understanding of the present invention and should not be regarded as an admission or any form of implication that this information constitutes prior art already known to those of ordinary skill in the art. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to overcome the defects of the prior art, provide an adaptive current control method for electrochemical water treatment, achieve precise control of the current during electrochemical water treatment, improve the current efficiency, and enhance the treatment effect of multiple pollutants.

[0008] To solve the above technical problems, the present invention provides the following technical solutions:

[0009] An adaptive current control method for electrochemical water treatment, comprising the following steps:

[0010] Collect the real-time conductivity and conductance interference variables of the target water sample;

[0011] Based on the conductance interference variable, perform interference decoupling on the real-time conductivity to obtain the effective conductivity;

[0012] Obtain the efficiency response curve; determine the current efficiency interval based on the efficiency response curve and the effective conductivity;

[0013] Based on the current efficiency interval, perform real-time regulation on the working current;

[0014] Collect the oxidation-reduction potential of the target water sample; adjust the distribution ratio of the working current in different reaction paths based on the oxidation-reduction potential and the effective conductivity of the target water sample.

[0015] As a preferred embodiment of the adaptive current control method for electrochemical water treatment of the present invention, wherein: performing interference decoupling on the real-time conductivity based on the conductance interference variable to obtain the effective conductivity specifically includes:

[0016] Input each conductance interference variable into the trained causal network, and the causal network calculates and outputs the probability distribution of the conductivity;

[0017] Based on the probability distribution of the conductivity, calculate the expected value of the conductivity;

[0018] Obtain the reference expected value of the conductivity; calculate the perturbation effect value of the conductivity based on the expected value of the conductivity and the reference expected value; the perturbation effect value is the difference between the expected value of the conductivity and the reference expected value;

[0019] Calculate the effective conductivity based on the real-time conductivity and the perturbation effect value; the effective conductivity is the difference between the real-time conductivity and the perturbation effect value.

[0020] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: the causal network is a Bayesian network, the input includes each conductance interference variable, and the output is the probability distribution of the conductivity of the target water sample; the training method of the causal network includes:

[0021] Conduct an electrochemical water treatment experiment and collect experimental data; the experimental data includes the conductivity of the target water sample under different values of the conductance interference variable;

[0022] Initialize the network structure of the causal network; the network structure of the causal network is a directed acyclic graph, including at least a root node and a leaf node; wherein, each conductance interference variable corresponds to a root node, and the conductivity is the only leaf node; the nodes are connected by directed edges;

[0023] Based on the experimental data, use a structure learning algorithm to optimize the network structure of the causal network;

[0024] Based on the experimental data, use a data estimation algorithm to determine the conditional probability distribution parameters of each node.

[0025] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: the real-time conductivity is the actual measured value of the conductivity collected by a conductivity sensor; the effective conductivity represents the magnitude of the conductive ability of the target water sample;

[0026] The conductance interference variables include the temperature, pH, water flow rate, and electrode impedance of the target water sample; the perturbation effect value represents the total measurement error caused by each conductance interference variable to the conductivity of the target water sample;

[0027] The method for obtaining the reference expected value of the conductivity specifically includes: inputting the reference value of each preset conductance interference variable into the trained causal network, and the causal network calculates and outputs the reference probability distribution of the conductivity; calculating the reference expected value based on the reference probability distribution of the conductivity.

[0028] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: the efficiency response curve is used to record the mapping relationship between the current efficiency and the conductivity under a specified working current, the abscissa is the conductivity, and the ordinate is the current efficiency; the current efficiency is the ratio of the actual value to the theoretical value of the amount of substance of the electrolysis product during the electrochemical water treatment process; wherein, the theoretical value of the amount of substance of the electrolysis product is calculated based on Faraday's law.

[0029] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: the current efficiency range includes a high-efficiency range, a transition range, and a low-efficiency range; determining the current current efficiency range based on the efficiency response curve and the effective conductivity specifically includes:

[0030] Calculating the current current efficiency corresponding to the effective conductivity based on the efficiency response curve; if the current current efficiency is greater than or equal to a preset first efficiency threshold, the current current efficiency range is the high-efficiency range; if the current current efficiency is less than the first efficiency threshold and greater than or equal to a preset second efficiency threshold, the current current efficiency range is the transition range; if the current current efficiency is less than the second efficiency threshold, the current current efficiency range is the low-efficiency range.

[0031] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: the working current is adjusted in real time based on the current efficiency range, specifically including:

[0032] If the current current efficiency range is the high-efficiency range, the working current remains at a preset initial value; if the current current efficiency range is the transition range, the intensity of the working current is increased by m times; m is a positive number;

[0033] If the current current efficiency range is the low-efficiency range, the intermittent working mode of the working current is triggered.

[0034] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: the reaction path includes a main path and an auxiliary path; wherein, the main path directly treats pollutants through electrolysis; the auxiliary path indirectly treats pollutants by activating free radicals; the main path and the auxiliary path share a cathode, and the anodes of the main path and the auxiliary path are connected in parallel.

[0035] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: adjusting the distribution ratio of the working current in different reaction paths based on the oxidation-reduction potential and the effective conductivity of the target water sample, specifically including:

[0036] Let the distribution ratio of the working current in the main path be r, then the distribution ratio of the working current in the auxiliary path is 1 - r;

[0037] If the oxidation-reduction potential and the effective conductivity of the target water sample satisfy the first trigger condition, the first distribution strategy of the working current is triggered; the first trigger condition includes: the oxidation-reduction potential of the target water sample is greater than a preset first potential threshold, and the effective conductivity of the target water sample is greater than a preset first conductivity threshold;

[0038] The first allocation strategy includes: based on a preset first allocation ratio and the effective conductivity of the target water sample to dynamically compensate r, where r is positively correlated with the effective conductivity.

[0039] As a preferred embodiment of the adaptive current control method for electrochemical water treatment according to the present invention, wherein: adjusting the allocation ratio of the working current in different reaction paths based on the redox potential and effective conductivity of the target water sample, further including:

[0040] If the redox potential and effective conductivity of the target water sample meet the second trigger condition, then trigger the second allocation strategy of the working current; the second trigger condition includes: the redox potential of the target water sample is less than a preset second potential threshold, and the effective conductivity of the target water sample is less than a preset second conductivity threshold;

[0041] The second allocation strategy includes: based on a preset second allocation ratio and the redox potential of the target water sample to dynamically compensate r, where r is positively correlated with the redox potential.

[0042] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0043] This application collects conductance interference variables, uses the trained causal network to decouple the interference of the real-time conductivity, calculates the effective conductivity, eliminates the influence of various interference variables on the conductivity measurement, truly reflects the conductive characteristics of ions in the target water sample, solves the problem that the traditional method cannot identify the real cause of the conductivity change, and improves the current control accuracy.

[0044] This application determines the current efficiency interval based on the efficiency response curve and combines with the effective conductivity, and adopts different current regulation strategies for different intervals, reducing the energy consumption while ensuring the water treatment effect, and realizing the reasonable utilization of energy.

[0045] This application adjusts the allocation ratio of the working current in the main path and the auxiliary path according to different water body conditions, solves the problem that the traditional fixed current mode cannot adapt to the reaction priorities of different pollutants, and improves the treatment ability for various pollutants. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0047] Figure 1Flow chart of an adaptive current control method for electrochemical water treatment provided by the present invention. Detailed implementation mode

[0048] 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 on the technical solution of the present invention. Without conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0049] This embodiment introduces an adaptive current control method for electrochemical water treatment. Referring to Figure 1 , the method includes the following steps:

[0050] Collect the real-time conductivity and conductance interference variables of the target water sample;

[0051] The real-time conductivity is the actual measured value of the conductivity collected by the conductivity sensor; the conductance interference variables include the temperature, pH, water flow rate, and electrode impedance of the target water sample; any one of the conductance interference variables causes a deviation in the actual measured value of the conductivity. For example, the water flow rate affects the boundary layer thickness and ion transport rate on the electrode surface. Too fast a water flow rate will accelerate the ion update rate on the electrode surface, resulting in a higher measured conductivity value.

[0052] Perform interference decoupling on the real-time conductivity based on the conductance interference variables to obtain the effective conductivity;

[0053] The effective conductivity represents the conductive ability of the target water sample; the effective conductivity obtained after interference decoupling excludes the influence of various interference variables on the conductivity measurement and can truly reflect the conductive characteristics of ions in the target water sample.

[0054] Performing interference decoupling on the real-time conductivity based on the conductance interference variables to obtain the effective conductivity specifically includes:

[0055] Input each conductance interference variable into the trained causal network, and the causal network calculates and outputs the probability distribution of the conductivity;

[0056] The causal network is a Bayesian network, the input includes each conductance interference variable, and the output is the probability distribution of the conductivity of the target water sample; the training method of the causal network includes:

[0057] Conduct electrochemical water treatment experiments and collect experimental data; the experimental data includes the conductivity of the target water sample under different values of the conductance interference variables. For example, design a series of electrochemical water treatment experiments under different conditions, covering different temperature ranges, pH value intervals, and changes in electrode impedance and water flow rate, and measure and record the corresponding conductivity data.

[0058] Initialize the network structure of the causal network; the network structure of the causal network is a directed acyclic graph, including at least a root node and a leaf node; wherein, any conductance interference variable corresponds to a root node, and the conductivity is the only leaf node; the nodes are connected by directed edges; the directed edges are used to represent the causal relationship between the nodes, pointing from the cause node to the result node (i.e., from the parent node to the child node). According to prior knowledge and expert experience, initially set the structure of the causal network and determine the connection relationship between the nodes. For example, if the temperature directly affects the conductivity, then add a directed edge between the node corresponding to the temperature and the node corresponding to the conductivity.

[0059] Based on the experimental data, use a structure learning algorithm to optimize the network structure of the causal network; in this embodiment, the PC algorithm is preferably used to optimize the network structure of the causal network; the PC algorithm gradually determines the network structure by testing the conditional independence between the variables corresponding to the nodes, so as to determine the network structure that best fits the causal relationship between the nodes, involving operations such as adding and deleting intermediate nodes, adding and deleting directed edges, etc.

[0060] Based on the experimental data, use a data estimation algorithm to determine the conditional probability distribution parameters of each node. Each node in the causal network has a conditional probability distribution, which is used to calculate the probability distribution of the corresponding variable value when the values of its parent nodes are given. The conditional probability distribution parameters of all nodes constitute the parameters of the causal network, and the conditional probability distribution parameters determine the causal relationship and the degree of mutual influence between the nodes in the causal network. In this embodiment, the Bayesian estimation algorithm is preferably used to determine the conditional probability distribution parameters of each node.

[0061] Preferably, after completing the optimization of the network structure of the causal network and the determination of the conditional probability distribution parameters, perform a performance evaluation on the causal network; use the mean square error, mean absolute error, etc. to measure the accuracy of the model's prediction of the conductivity. Further, use the mean square error, mean absolute error, etc. to measure the accuracy of the conditional probability distribution of each node in the causal network. If the model performance is not good, analyze the reasons and adjust the model, such as adding intermediate nodes, re-estimating the conditional probability distribution parameters, etc.

[0062] Calculate the expected value of the conductivity based on the probability distribution of the conductivity;

[0063] Obtain the reference expected value of the conductivity; calculate the perturbation effect value of the conductivity based on the expected value of the conductivity and the reference expected value; the perturbation effect value is the difference between the expected value of the conductivity and the reference expected value;

[0064] The reference expected value of conductivity is obtained, specifically including: inputting the reference value of each preset conductivity interference variable into a trained causal network, the causal network calculates and outputs the reference probability distribution of conductivity; and calculating the reference expected value based on the reference probability distribution of conductivity. The reference values ​​of the conductivity interference variables preferred in this embodiment are as follows: the reference value of the temperature of the target water sample is 25 degrees Celsius, the reference value of pH is 7, the reference value of the water flow rate is 0.2 meters per second, and the reference value of the electrode impedance is 500 ohms. These values ​​are based on conventional electrochemical water treatment scenarios and related research practices, and are representative to a certain extent, and can be used as an analysis basis for the errors caused by conductivity interference variables to conductivity measurements.

[0065] The effective conductivity is calculated based on the real-time conductivity and the disturbance effect value; the effective conductivity is the difference between the real-time conductivity and the disturbance effect value.

[0066] The disturbance effect value represents the sum of the measurement errors caused by each conductivity interference variable to the conductivity of the target water sample. First, the reference value of the conductivity interference variable is set to calculate the reference expected value of the conductivity. When the electrolysis reaction is carried out, each conductivity interference variable is collected in real time, and the real-time expected value of the conductivity under the real-time conductivity interference variable combination is calculated. The difference between the real-time expected value and the reference expected value is the conductivity measurement error caused by the change of the conductivity interference variable. In the traditional electrochemical water treatment method, the detection of conductivity fails to identify the real cause of the conductivity change, that is, which part of the conductivity change is caused by the change in the concentration of pollutants (mainly ions), and which part of the change is the measurement error caused by the change in the conductivity interference variable; the present application uses a Bayesian network to perform causal inference on the conductivity change, realizes the interference decoupling of the conductivity, and thus calculates the effective conductivity that affects the current efficiency, thereby improving the control accuracy.

[0067] Acquire an efficiency response curve; determine a current current efficiency range based on the efficiency response curve and effective conductivity;

[0068] The efficiency response curve is used to record the mapping relationship between current efficiency and conductivity under a specified working current, with conductivity as the horizontal axis and current efficiency as the vertical axis; the current efficiency is the ratio of the actual value of the amount of substance of the electrolysis product in the electrochemical water treatment process to the theoretical value; wherein the theoretical value of the amount of substance of the electrolysis product is calculated based on Faraday's law. The current efficiency reflects the effective utilization of the current. The higher the current efficiency, the better the electrolysis effect and the more efficient the energy utilization.

[0069] The efficiency response curve is plotted through experiments. During the electrochemical water treatment process, a high-precision conductivity meter is used to monitor the conductivity change in real time. At the same time, a current sensor accurately records the current data and calculates the current efficiency. By aligning the timestamps, the change trends of conductivity and current efficiency over time are synchronously captured. The functional relationship between the current efficiency and the conductivity is constructed through regression analysis to complete the fitting of the efficiency response curve.

[0070] The current efficiency range includes a high-efficiency range, a transition range, and a low-efficiency range. Determining the current current efficiency range based on the efficiency response curve and the effective conductivity specifically includes:

[0071] Calculating the current current efficiency corresponding to the effective conductivity based on the efficiency response curve; if the current current efficiency is greater than or equal to a preset first efficiency threshold, the current current efficiency range is the high-efficiency range; if the current current efficiency is less than the first efficiency threshold and greater than or equal to a preset second efficiency threshold, the current current efficiency range is the transition range; if the current current efficiency is less than the second efficiency threshold, the current current efficiency range is the low-efficiency range. In this embodiment, the first efficiency threshold is preferably 90% and the second efficiency threshold is preferably 60%.

[0072] The working current is adjusted in real time based on the current efficiency range, specifically including:

[0073] If the current current efficiency range is the high-efficiency range, the working current remains at the preset initial value; at this time, the conductivity and current efficiency are in an ideal state, and maintaining the current working current can efficiently treat the wastewater and avoid unnecessary energy consumption increase.

[0074] If the current current efficiency range is the transition range, the intensity of the working current is increased by m times; m is a positive number; when the current efficiency enters the transition range, it indicates that there is pollutant accumulation on the electrode surface or other reasons leading to a decrease in the current efficiency; at this time, a higher-intensity current pulse is used to flush the electrode surface to prompt the pollutants on the electrode surface to quickly fall off or be consumed by the reaction, restoring the activity of the electrode and increasing the current efficiency back to the high-efficiency range. For example, the current intensity is increased to 2-3 times the normal working current and lasts for 1-2 minutes.

[0075] If the current current efficiency interval is a low efficiency interval, the intermittent working mode of the working current is triggered. At this time, the electrolysis efficiency is low, and continuing to use the continuous electrolysis mode will cause energy waste, triggering the intermittent working mode of the working current, such as stopping the application of the working current for 5 minutes after every 10 minutes of application. Through intermittent electrolysis, on the one hand, the rest time can be used to allow the reaction products on the electrode surface to have enough time to diffuse, reducing adverse factors such as concentration polarization. On the other hand, the overall energy consumption can be reduced while maintaining a certain treatment effect. During the intermittent electrolysis process, the conductivity and water quality changes are continuously monitored, and the ratio of the current working time and the rest time, as well as the current size in the working stage, are adjusted according to the actual treatment effect.

[0076] The redox potential of the target water sample is collected; and the distribution ratio of the working current in different reaction paths is adjusted based on the redox potential and effective conductivity of the target water sample.

[0077] The oxidation-reduction potential is used to measure the oxidation-reduction capacity of the target water sample and is measured by an ORP sensor or an oxidation-reduction potential meter.

[0078] The reaction path includes a main path and an auxiliary path; wherein the main path directly treats pollutants by electrolysis; the auxiliary path indirectly treats pollutants by activating free radicals; the main path and the auxiliary path share a cathode, and the anode of the main path is connected in parallel with the anode of the auxiliary path.

[0079] When there are multiple pollutants in the target water sample, such as multiple metal ions and organic matter, the traditional electrochemical water treatment mode adopts a fixed current mode and cannot adapt to the reaction priority of different pollutants, such as fully oxidizing organic matter but with more metal ions remaining. The present application dynamically allocates current to different reaction paths, which can take into account the treatment effects of multiple pollutants. Among them, the main path directly electrolyzes and consumes pollutants with high mobility and high electroactivity, such as copper ions, etc.; the current of the auxiliary path activates active free radicals such as OH through a catalyst (such as a BDD electrode) to treat difficult-to-degrade organic matter. In this embodiment, a titanium-based lead dioxide electrode is preferably used as the anode of the main path to preferentially drive metal ion deposition, and a boron-doped diamond electrode is preferably used as the anode of the auxiliary path. Its high oxygen evolution overpotential characteristics can promote the oxidation of water to generate OH free radicals, which are used to drive the reaction of organic matter. The anodes of the main path and the auxiliary path are connected in parallel, and the impedance of any path is adjusted by an adjustable resistor to achieve current distribution. Furthermore, the main path anode is arranged near the bottom of the electrolytic cell, i.e., the metal ion deposition zone, and the auxiliary path anode is arranged below the target water sample surface, i.e., the free radical diffusion zone, to facilitate the pollutant reaction treatment of each path.

[0080] The distribution ratio of the working current in different reaction paths is adjusted based on the redox potential and effective conductivity of the target water sample, specifically including:

[0081] Let the distribution ratio of the working current in the main path be r, then the distribution ratio of the working current in the auxiliary path is 1 - r;

[0082] If the redox potential and effective conductivity of the target water sample meet the first trigger condition, the first distribution strategy of the working current is triggered; the first trigger condition includes: the redox potential of the target water sample is greater than a preset first potential threshold, and the effective conductivity of the target water sample is greater than a preset first conductivity threshold;

[0083] The first distribution strategy includes: based on a preset first distribution ratio and the effective conductivity of the target water sample to dynamically compensate r, where r is positively correlated with the effective conductivity;

[0084] In this embodiment, the first potential threshold is preferably 800 millivolts (using a silver / silver chloride electrode as the potential reference electrode), and the first conductivity threshold is 5000 microsiemens per centimeter; when the first trigger condition is met, it indicates that the conductivity of the target water sample is relatively high at this time, the metal ion concentration is high, and at the same time the redox potential is high, indicating that the metal ions are in an oxidised state that is easily reducible. Therefore, the working current preferentially drives the reaction in the main path, and the first distribution ratio is set to a relatively high 0.7; further, based on the first distribution ratio and the formula for dynamically compensating r based on the effective conductivity is as follows:

[0085] ;

[0086] where, represents the effective conductivity, represents the first conductivity threshold, represents a preset reference conductivity, for example, 10000 microsiemens per centimeter; is an adjustment coefficient with a value of 0.1. Based on the above formula, on the basis of the first distribution ratio , based on the effective conductivity to dynamically compensate r, r is positively correlated with the effective conductivity , that is, the larger the effective conductivity , the higher the proportion of the working current allocated to the main path.

[0087] If the redox potential and effective conductivity of the target water sample meet the second trigger condition, the second distribution strategy of the working current is triggered; the second trigger condition includes: the redox potential of the target water sample is less than a preset second potential threshold, and the effective conductivity of the target water sample is less than a preset second conductivity threshold;

[0088] The second distribution strategy includes: based on a preset second distribution ratio And the redox potential of the target water sample dynamically compensates r, where r is positively correlated with the redox potential.

[0089] In this embodiment, it is preferable that the second potential threshold is 300 mV (with a silver / silver chloride electrode as the reference electrode for potential), and the second conductivity threshold is 1000 microsiemens per centimeter; when the second trigger condition is satisfied, it indicates that the conductivity of the target water sample is low at this time, the metal ion concentration is low, the organic matter dominates the pollutants, and at the same time the redox potential is low, indicating that the reaction of the pollutants requires external radical activation assistance. Therefore, the working current preferentially drives the reaction of the auxiliary path, and the second distribution ratio is set to a relatively low 0.3; further, based on the second distribution ratio The formula for dynamically compensating r based on the redox potential is as follows:

[0090] ;

[0091] where E represents the redox potential, represents the second potential threshold, represents a preset reference redox potential, such as 500 mV (with a silver / silver chloride electrode as the reference electrode for potential); is an adjustment coefficient with a value of 0.1. Based on the above formula, on the basis of the second distribution ratio , r is dynamically compensated based on the redox potential E. r is positively correlated with the redox potential E, that is, the smaller the redox potential E, the lower the proportion of the working current allocated to the main path.

[0092] Those skilled in the art should understand that the 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 complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented 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.

[0093] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative and not restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the purpose and scope of the present invention. These all fall within the protection scope of the present invention.

Claims

1. An adaptive current control method for electrochemical water treatment, characterized in that: The following steps are involved: Collect the real-time conductivity and conductivity disturbance variables of target water samples; Based on the conductivity interference variable, the real-time conductivity is subjected to interference decoupling to obtain effective conductivity; specifically comprising: Input each conductance disturbance variable into a trained causal network, which calculates and outputs a probability distribution of conductance; Calculating an expected value of the conductivity based on the probability distribution of the conductivity; Obtaining a reference expected value of conductivity; calculating a disturbance effect value of conductivity based on the expected value of conductivity and the reference expected value; the disturbance effect value is the difference between the expected value of conductivity and the reference expected value; Calculating effective conductivity based on the real-time conductivity and the disturbance effect value; the effective conductivity is the difference between the real-time conductivity and the disturbance effect value; Acquire an efficiency response curve; determine a current current efficiency range based on the efficiency response curve and effective conductivity; Based on the current efficiency range, the operating current is controlled in real time; Collecting the redox potential of the target water sample; adjusting the distribution ratio of the working current in different reaction paths based on the redox potential and effective conductivity of the target water sample; The reaction path includes a main path and an auxiliary path; wherein the main path directly treats pollutants by electrolysis; the auxiliary path indirectly treats pollutants by activating free radicals; the main path and the auxiliary path share a cathode, and the anode of the main path is connected in parallel with the anode of the auxiliary path.

2. An adaptive current control method for electrochemical water treatment according to claim 1, characterized in that: The causal network is a Bayesian network, the input includes each conductivity interference variable, and the output is the probability distribution of the conductivity of the target water sample; the training method of the causal network includes: Conducting an electrochemical water treatment experiment and collecting experimental data; the experimental data includes the conductivity of the target water sample under different values ​​of the conductivity interference variable; Initializing the network structure of the causal network; the network structure of the causal network is a directed acyclic graph, including at least a root node and a leaf node; wherein any conductivity interference variable corresponds to a root node, and the conductivity is the only leaf node; the nodes are connected by directed edges; Based on the experimental data, a structural learning algorithm is used to optimize the network structure of the causal network; Based on the experimental data, a data estimation algorithm is used to determine the conditional probability distribution parameters of each node.

3. An adaptive current control method for electrochemical water treatment according to claim 2, characterized in that: The real-time conductivity is the actual measured value of the conductivity collected by the conductivity sensor; the effective conductivity represents the magnitude of the conductivity of the target water sample; The conductivity interference variables include the temperature, pH, water flow rate and electrode impedance of the target water sample; the disturbance effect value represents the sum of the measurement errors caused by each conductivity interference variable to the conductivity of the target water sample; The obtaining of the reference expected value of the conductivity specifically includes: inputting the preset reference value of each conductivity interference variable into a trained causal network, and the causal network calculates and outputs a reference probability distribution of the conductivity; The reference expected value is calculated based on a reference probability distribution of conductivity.

4. The adaptive current control method for electrochemical water treatment according to claim 3, characterized in that: The efficiency response curve is used to record the mapping relationship between current efficiency and conductivity under a specified working current, with the horizontal axis being conductivity and the vertical axis being current efficiency; the current efficiency is the ratio of the actual value of the amount of substance of the electrolysis product in the electrochemical water treatment process to the theoretical value; wherein the theoretical value of the amount of substance of the electrolysis product is calculated based on Faraday's law.

5. The adaptive current control method for electrochemical water treatment according to claim 4, characterized in that: The current efficiency range includes a high efficiency range, a transition range, and a low efficiency range; Determining the current current efficiency range based on the efficiency response curve and the effective conductivity specifically includes: Calculating the current efficiency corresponding to the effective conductivity based on the efficiency response curve; If the current current efficiency is greater than or equal to the preset first efficiency threshold, the current current efficiency interval is a high efficiency interval; if the current current efficiency is less than the first efficiency threshold and greater than or equal to the preset second efficiency threshold, the current current efficiency interval is a transition interval; if the current current efficiency is less than the second efficiency threshold, the current current efficiency interval is a low efficiency interval.

6. An adaptive current control method for electrochemical water treatment according to claim 5, characterized in that: The operating current is controlled in real time based on the current efficiency range, specifically including: If the current current efficiency interval is a high efficiency interval, the working current is maintained at a preset initial value; if the current current efficiency interval is a transition interval, the intensity of the working current is increased by m times; m is a positive number; If the current efficiency range is a low efficiency range, the intermittent working mode of the working current is triggered.

7. An adaptive current control method for electrochemical water treatment according to claim 6, characterized in that: The distribution ratio of the working current in different reaction paths is adjusted based on the redox potential and effective conductivity of the target water sample, specifically including: Let the distribution ratio of the working current in the main path be r, then the distribution ratio of the working current in the auxiliary path is 1-r; If the redox potential and effective conductivity of the target water sample meet the first trigger condition, the first distribution strategy of the working current is triggered; the first trigger condition includes: the redox potential of the target water sample is greater than the preset first potential threshold, and the effective conductivity of the target water sample is greater than the preset first conductivity threshold; The first allocation strategy includes: based on a preset first allocation ratio And the effective conductivity of the target water sample dynamically compensates r, wherein r is positively correlated with the effective conductivity.

8. An adaptive current control method for electrochemical water treatment according to claim 7, characterized in that: Adjusting the distribution ratio of the working current in different reaction paths based on the redox potential and effective conductivity of the target water sample also includes: If the redox potential and effective conductivity of the target water sample meet the second trigger condition, the second allocation strategy of the working current is triggered; the second trigger condition includes: the redox potential of the target water sample is less than the preset second potential threshold, and the effective conductivity of the target water sample is less than the preset second conductivity threshold; The second allocation strategy includes: based on a preset second allocation ratio And the redox potential of the target water sample dynamically compensates r, wherein r is positively correlated with the redox potential.

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