Self-adaptive current control method for electrochemical water treatment

Abstract

The invention relates to the technical field of electrochemical water treatment, and discloses a self-adaptive current control method for electrochemical water treatment, which comprises 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 conductivity interference variable to obtain effective conductivity; obtaining an efficiency response curve; determining a current current efficiency interval based on the efficiency response curve and the effective conductivity; performing real-time regulation and control on the working current based on the current efficiency interval; collecting the oxidation-reduction potential of the target water sample; and adjusting the distribution proportion of the working current in different reaction paths based on the oxidation-reduction potential and the effective conductivity of the target water sample. According to the invention, accurate control of current during electrochemical water treatment is realized, the current efficiency is improved, and the multi-pollutant treatment effect is improved.

Description

Technical Field

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

[0002] In recent years, automated control technology has gradually been integrated into electrochemical water treatment systems. Some advanced equipment can automatically adjust parameters such as current, voltage, and treatment time, adjust treatment conditions according to wastewater quality, and improve the stability of the treatment process. However, existing electrochemical water treatment technology still has some shortcomings.

[0003] Conductivity is an important indicator of the ion content and electrical conductivity in water, and is crucial to the control and optimization of electrochemical water treatment processes. However, factors such as the temperature and pH of actual water samples can interfere with conductivity measurements. Traditional measurement methods make it difficult to accurately distinguish whether conductivity changes are caused by changes in pollutant concentrations or measurement errors caused by changes in conductivity interference variables. This results in a lack of accuracy when adjusting treatment parameters based on conductivity, affecting treatment effects and energy efficiency.

[0004] Existing technologies perform poorly in terms of treatment selectivity when multiple pollutants coexist. Actual wastewater often contains multiple pollutants, such as metal ions and organic matter. Traditional electrochemical water treatment modes usually use fixed current modes, 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 are difficult to meet strict emission standards.

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

[0006] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgement or any form of suggestion that the information constitutes the prior art already known to ordinary technicians in this field. Summary of the invention

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

[0008] In order to solve the above technical problems, the present invention provides the following technical solutions: An adaptive current control method for electrochemical water treatment comprises the following steps: Collect the real-time conductivity and conductivity disturbance variables of target water samples; Performing interference decoupling on the real-time conductivity based on the conductivity interference variable to obtain effective conductivity; 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; 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.

[0009] As a preferred solution of the adaptive current control method for electrochemical water treatment of the present invention, wherein: the real-time conductivity is subjected to interference decoupling based on the conductivity interference variable to obtain the effective conductivity, specifically including: 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; 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.

[0010] As a preferred embodiment of the adaptive current control method for electrochemical water treatment described in the present invention, the causal network is a Bayesian network, the input includes each conductivity disturbance 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.

[0011] As a preferred solution of the adaptive current control method for electrochemical water treatment described in the present invention, wherein: 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, the causal network calculating and outputting a reference probability distribution of the conductivity; and calculating the reference expected value based on the reference probability distribution of the conductivity.

[0012] As a preferred scheme of the adaptive current control method for electrochemical water treatment described in the present invention, wherein: the efficiency response curve is used to record the mapping relationship between current efficiency and conductivity under a specified working current, the horizontal axis is conductivity, and the vertical axis is 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.

[0013] As a preferred embodiment of the adaptive current control method for electrochemical water treatment described in the present invention, the current efficiency interval includes a high efficiency interval, a transition interval, and a low efficiency interval; the current efficiency interval is determined based on the efficiency response curve and the effective conductivity, specifically including: The current current efficiency corresponding to the effective conductivity is calculated 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 interval is a high efficiency interval; 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 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.

[0014] As a preferred solution of the adaptive current control method for electrochemical water treatment described in the present invention, the real-time regulation of the working current based on the current efficiency range specifically includes: 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.

[0015] As a preferred scheme of the adaptive current control method for electrochemical water treatment described in the present invention, wherein: 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.

[0016] As a preferred solution of the adaptive current control method for electrochemical water treatment described in the present invention, wherein: 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 specifically includes: 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.

[0017] As a preferred solution of the adaptive current control method for electrochemical water treatment described in the present invention, wherein: 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, and further 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.

[0018] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: This application collects conductivity interference variables, uses a trained causal network to decouple the real-time conductivity, calculates the effective conductivity, eliminates the influence of various interference variables on the conductivity measurement, truly reflects the conductive properties of ions in the target water sample, solves the problem that traditional methods cannot identify the real cause of conductivity changes, and improves the current control accuracy.

[0019] This application determines the current efficiency range based on the efficiency response curve and in combination with the effective conductivity, and adopts different current control strategies for different ranges, thereby reducing energy consumption while ensuring the water treatment effect and achieving rational use of energy.

[0020] The present application adjusts the distribution ratio of the working current in the main path and the auxiliary path according to different water conditions, solves the problem that the traditional fixed current mode cannot adapt to the reaction priorities of different pollutants, and improves the processing capacity of various pollutants. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them: Figure 1 A flow chart of an adaptive current control method for electrochemical water treatment provided by the present invention. DETAILED DESCRIPTION

[0022] The technical solution of the present invention is described in detail below through 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. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0023] This embodiment introduces an adaptive current control method for electrochemical water treatment. Figure 1 , the method comprises the following steps: Collect the real-time conductivity and conductivity disturbance variables of target water samples; The real-time conductivity is the actual measured value of the conductivity collected by the conductivity sensor; the conductivity interference variables include the temperature, pH, water flow rate and electrode impedance of the target water sample; any conductivity interference variable will cause deviation to the actual measured value of the conductivity, for example, the water flow rate will affect the boundary layer thickness and ion transfer rate of the electrode surface, and too fast water flow rate will accelerate the ion renewal rate on the electrode surface, resulting in a higher conductivity measurement value.

[0024] Performing interference decoupling on the real-time conductivity based on the conductivity interference variable to obtain effective conductivity; The effective conductivity represents the electrical conductivity of the target water sample; the effective conductivity obtained after interference decoupling eliminates the influence of various interference variables on the conductivity measurement, and can truly reflect the conductive properties of ions in the target water sample.

[0025] Based on the conductivity interference variable, the real-time conductivity is subjected to interference decoupling to obtain effective conductivity, which specifically includes: Input each conductance disturbance variable into a trained causal network, which calculates and outputs a probability distribution of conductance; 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: 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 conductivity interference variable; 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.

[0026] Initialize the network structure of the causal network; the network structure of the causal network is a directed acyclic graph, which includes at least a root node and a leaf node; wherein any conductivity disturbance variable corresponds to a root node, and conductivity is the only leaf node; the nodes are connected by directed edges; directed edges are used to represent the causal relationship between nodes, from the cause node to the result node (i.e., from the parent node to the child node). Based on prior knowledge and expert experience, preliminarily set the structure of the causal network and determine the connection relationship between the nodes. For example, temperature directly affects conductivity, so add a directed edge between the node corresponding to temperature and the node corresponding to conductivity.

[0027] Based on the experimental data, a structural learning algorithm is used to optimize the network structure of the causal network; this embodiment preferably uses the PC algorithm to optimize the network structure of the causal network; the PC algorithm gradually determines the network structure by verifying the conditional independence between the variables corresponding to the nodes, thereby determining the network structure that best fits the causal relationship between the nodes, involving operations such as adding and deleting intermediate nodes and adding and deleting directed edges.

[0028] Based on the experimental data, a data estimation algorithm is used 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 value of its parent node is 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 degree of mutual influence between the nodes in the causal network. This embodiment preferably uses a Bayesian estimation algorithm to determine the conditional probability distribution parameters of each node.

[0029] Preferably, after the network structure optimization of the causal network and the determination of the conditional probability distribution parameters are completed, the performance of the causal network is evaluated; the accuracy of the model's prediction of conductivity is measured using mean square error, mean absolute error, etc. Further, the accuracy of the conditional probability distribution of each node in the causal network is measured using mean square error, mean absolute error, etc. If the model performance is poor, analyze the reasons and adjust the model, such as adding intermediate nodes, re-estimating the conditional probability distribution parameters, etc.

[0030] 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; 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.

[0031] 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.

[0032] 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.

[0033] Acquire an efficiency response curve; determine a current current efficiency range based on the efficiency response curve and effective conductivity; 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.

[0034] The efficiency response curve is drawn through experiments. During the electrochemical water treatment process, a high-precision conductivity meter is used to monitor the conductivity change in real time, and the current sensor is used to accurately record the current data and calculate the current efficiency; by aligning the timestamps, it is ensured that the change trend of conductivity and current efficiency over time is captured synchronously. The functional relationship between current efficiency and conductivity is constructed through regression analysis to complete the fitting of the efficiency response curve.

[0035] 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: The current current efficiency corresponding to the effective conductivity is calculated 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. In this embodiment, the first efficiency threshold is preferably 90% and the second efficiency threshold is 60%.

[0036] The operating current is controlled in real time based on the current efficiency range, specifically including: If the current current efficiency range is a high efficiency range, the working current remains at the preset initial value; at this time, the conductivity and current efficiency are in a relatively ideal state, and maintaining the current working current can efficiently treat wastewater and avoid unnecessary energy consumption increase.

[0037] 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; when the current efficiency enters the transition interval, it indicates that the current efficiency decreases due to accumulation of pollutants on the electrode surface and other reasons; at this time, a higher intensity current pulse is used to flush the electrode surface, causing the pollutants on the electrode surface to fall off quickly or be consumed by the reaction, thereby restoring the activity of the electrode and returning the current efficiency to the high efficiency interval, for example, increasing the current intensity to 2-3 times the normal working current for 1-2 minutes.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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 dynamically compensating r by the effective conductivity of the target water sample, wherein r is positively correlated with the effective conductivity; In this embodiment, the first potential threshold is preferably 800 millivolts (with the silver / silver chloride electrode as the reference electrode potential), and the first conductivity threshold is 5000 microsiemens per centimeter; when the first trigger condition is met, it means that the conductivity of the target water sample is high, the metal ion concentration is high, and the redox potential is high, indicating that the metal ions are in an oxidation state that is easily reduced, so the working current preferentially drives the reaction of the main path, and the first distribution ratio is is set to a higher value of 0.7; further, based on the first allocation ratio And the formula for dynamic compensation of effective conductivity to r is as follows: ; in, is the effective conductivity, represents the first conductivity threshold, Indicates a preset reference conductivity, such as 10,000 microsiemens per centimeter; is the adjustment coefficient, and its value is 0.1. Based on the above formula, in the first allocation ratio Based on the effective conductivity Dynamic compensation of r, r and effective conductivity Positive correlation, that is, effective conductivity The larger it is, the higher the proportion of the working current allocated to the main path.

[0044] 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.

[0045] In this embodiment, the second potential threshold is preferably 300 millivolts (with the silver / silver chloride electrode as the reference electrode potential), and the second conductivity threshold is 1000 microsiemens per centimeter; when the second trigger condition is met, it means that the conductivity of the target water sample is low, the metal ion concentration is low, organic matter dominates the pollutants, and the redox potential is low, indicating that the pollutant reaction requires external free radical activation assistance, so the working current preferentially drives the reaction of the auxiliary path, and the second allocation ratio is is set to a lower value of 0.3; further, based on the second allocation ratio And the formula for dynamic compensation of redox potential to r is as follows: ; Where E represents the redox potential, represents the second potential threshold, represents a preset reference redox potential, e.g. 500 mV (reference electrode with silver / silver chloride electrode as potential); is the adjustment coefficient, which is 0.1. Based on the above formula, in the second allocation ratio On the basis of, r is dynamically compensated based on the redox potential E, and r is positively correlated with the redox potential E, that is, the smaller the redox potential E is, the lower the proportion of the working current allocated to the main path is.

[0046] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may 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.

[0047] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the purpose and scope of protection of the present invention, which are all within the protection 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; Performing interference decoupling on the real-time conductivity based on the conductivity interference variable to obtain effective conductivity; Obtain efficiency response curve; Determining a current current efficiency range based on the efficiency response curve and the effective conductivity; Based on the current efficiency range, the operating current is controlled in real time; Collect the redox potential of the target water sample; 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.

2. An adaptive current control method for electrochemical water treatment according to claim 1, characterized in that: Based on the conductivity interference variable, the real-time conductivity is subjected to interference decoupling to obtain effective conductivity, which specifically includes: 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; 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.

3. An adaptive current control method for electrochemical water treatment according to claim 2, 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.

4. The adaptive current control method for electrochemical water treatment according to claim 3, 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, wherein 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.

5. The adaptive current control method for electrochemical water treatment according to claim 4, 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.

6. An adaptive current control method for electrochemical water treatment according to claim 5, 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.

7. An adaptive current control method for electrochemical water treatment according to claim 6, 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.

8. An adaptive current control method for electrochemical water treatment according to claim 7, characterized in that: 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.

9. An adaptive current control method for electrochemical water treatment according to claim 8, 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.

10. An adaptive current control method for electrochemical water treatment according to claim 9, 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.

Images