A method and system for direct drinking water purification

Abstract

This invention discloses a method and system for electro-purification of direct drinking water, belonging to the field of water treatment technology. It includes periodically collecting water quality data and water demand data of the water to be treated; calculating a water quality demand evaluation value based on the water quality data and water demand data; and selecting an electro-catalytic nanofiltration purification mode, an electro-coagulation reverse osmosis purification mode, or an electrodialysis adsorption purification mode to purify the water to be treated based on the water quality demand evaluation value. This invention evaluates water quality demand and selects different purification modes based on the evaluation results, thereby responding in real time to changes in water quality and user needs, improving purification efficiency, and reducing resource consumption.

Description

Technical Field

[0001] This invention relates to the field of water treatment technology, and in particular to a method and system for electro-purification of direct drinking water. Background Technology

[0002] With the rapid development of modern industrialization and urbanization, water pollution has become increasingly serious, and water quality safety has become a focus of social concern. While traditional water treatment technologies have improved water quality to some extent, they often suffer from low treatment efficiency, high costs, and unstable purification effects when faced with complex and ever-changing water pollution situations. Particularly in the field of direct drinking water, how to efficiently and economically provide safe and healthy drinking water has become an urgent technical challenge to be solved.

[0003] Existing drinking water treatment technologies mainly include pretreatment, filtration, and disinfection. Commonly used filtration technologies include ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO). While these technologies can effectively remove suspended solids, colloids, bacteria, and some organic matter from water, they still have limitations in treating dissolved salts, heavy metal ions, and certain recalcitrant organic compounds. Furthermore, the water quality varies significantly from source to source, and traditional single-treatment models often struggle to meet diverse water quality requirements. Summary of the Invention

[0004] To address the aforementioned issues, this invention provides a method and system for direct drinking water purification. By evaluating water quality requirements and selecting different purification modes based on the evaluation results, the system can respond in real time to changes in water quality and user needs, thereby improving purification efficiency and reducing resource consumption.

[0005] The above objectives can be achieved through the following approach:

[0006] A method for purifying direct drinking water using electricity includes periodically collecting water quality data and water demand data of the water to be treated; calculating a water quality demand evaluation value based on the water quality data and the water demand data; and selecting an electro-catalytic nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode, or an electrodialysis adsorption water purification mode to purify the water to be treated based on the water quality demand evaluation value.

[0007] Further, the step of calculating the water quality demand evaluation value based on the water quality data and the water demand data includes: extracting features from the water quality data and the water demand data to obtain a basic feature dataset; establishing an evaluation function to characterize the relationship between the basic feature data and the water quality demand evaluation value; and substituting the basic feature dataset into the evaluation function to calculate the water quality demand evaluation value.

[0008] Furthermore, the step of extracting features from the water quality data and the water demand data to obtain a basic feature dataset includes: preprocessing the water quality data and the water demand data to obtain a preliminary dataset; extracting features from the preliminary dataset to obtain a standard dataset; and normalizing the standard dataset to obtain a basic feature dataset.

[0009] Further, the evaluation function for establishing the relationship between the basic feature data and the water quality demand evaluation value includes: collecting historical water quality assessment data and historical basic feature datasets to construct a historical dataset; establishing a linear regression model for representing the water quality demand evaluation value based on the historical basic feature dataset; and optimizing the parameters of the linear regression model using the historical dataset to obtain the evaluation function, for the water quality demand evaluation value P, having...

[0010] P = α1T1 + α2T2 + ... + α n T n +β,

[0011] In the formula, α n T represents the regression coefficient corresponding to the nth basic feature data in the basic feature dataset. n β represents the nth basic feature data in the basic feature dataset, and β is the error term.

[0012] Further, the step of selecting an electro-catalytic nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode, or an electrodialysis adsorption water purification mode to purify the water to be treated based on the water quality demand evaluation value includes: determining whether the water quality demand evaluation value is less than a preset first threshold; if yes, then selecting the electro-catalytic nanofiltration water purification mode to purify the water to be treated; if no, then determining whether the water quality demand evaluation value is less than a preset second threshold; if yes, then selecting the electro-coagulation reverse osmosis water purification mode to purify the water to be treated; if no, then selecting the electrodialysis adsorption water purification mode to purify the water to be treated.

[0013] Further, the step of selecting the electrocatalytic nanofiltration water purification mode to purify the water to be treated includes: pretreating the water to be treated; performing electrocatalytic oxidation on the pretreated water to obtain a first water sample; filtering the first water sample using a nanofiltration membrane to obtain a first purified water sample; collecting water quality data of the first purified water sample and calculating a first purification result value using the evaluation function; determining whether the first purification result value is greater than a preset third threshold; if yes, then selecting the electrodialysis adsorption water purification mode to purify the first purified water sample; if no, then ending the purification process and outputting the first purified water sample.

[0014] Further, the step of selecting the electrocoagulation reverse osmosis water purification mode to purify the water to be treated includes: pretreating the water to be treated; performing electrocoagulation on the pretreated water to obtain a second water sample; filtering the second water sample using a reverse osmosis membrane to obtain a second purified water sample; collecting water quality data of the second purified water sample and calculating a second purification result value using the evaluation function; determining whether the second purification result value is greater than the third threshold; if yes, then selecting the electrocatalytic nanofiltration water purification mode to purify the second purified water sample; if no, then ending the purification process and outputting the second purified water sample.

[0015] Further, the step of selecting the electrodialysis adsorption water purification mode to purify the water to be treated includes: pretreating the water to be treated; performing electrodialysis on the pretreated water to obtain a third water sample; using activated carbon to adsorb impurities in the second water sample to obtain a third purified water sample; collecting water quality data of the third purified water sample and using the evaluation function to calculate a third purification result value; determining whether the third purification result value is greater than the third threshold; if yes, then selecting the electrocoagulation reverse osmosis water purification mode to purify the third purified water sample; if no, then ending the purification process and outputting the third purified water sample.

[0016] Furthermore, the method further includes: determining whether the first purification result value, the second purification result value, or the third purification result value is greater than the third threshold; if so, optimizing the parameters of the evaluation function using the current water quality demand evaluation value and the current basic feature dataset to obtain a new evaluation function.

[0017] Based on the same inventive concept, this invention also provides a direct drinking water electro-purification system, the system comprising: a data acquisition module for periodically acquiring water quality data and water demand data of the water to be treated; a water quality assessment module for calculating a water quality demand evaluation value based on the water quality data and the water demand data; a water purification module for selecting an electro-catalytic nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode, or an electrodialysis adsorption water purification mode to purify the water to be treated based on the water quality demand evaluation value; and a monitoring and feedback module for monitoring the water quality after purification and optimizing the parameters of the evaluation function based on the monitoring results.

[0018] Compared with the prior art, the present invention has the following advantages:

[0019] 1. This invention periodically collects water quality data and water demand data of the water to be treated, enabling real-time understanding of changes in water quality and user needs; based on this data, the purification plan can be dynamically adjusted to ensure that the water quality always meets the user's expected standards, thus improving the flexibility and adaptability of water treatment.

[0020] 2. This invention can maximize purification efficiency by accurately assessing different water quality conditions and selecting appropriate water purification modes; at the same time, by avoiding unnecessary over-treatment, the overall resource consumption of the system (such as electricity and water resources) is effectively reduced.

[0021] 3. By establishing an evaluation function based on historical and real-time data, the system can more accurately predict and evaluate the purification effect of different water purification modes. This predictive ability helps the system select the optimal purification scheme, thereby ensuring the stability and reliability of the purification effect. Even when facing complex and ever-changing water quality conditions, the system can maintain stable purification performance.

[0022] 4. Because the system can respond to users' water quality needs in real time and provide high-quality drinking water, users' drinking experience is significantly improved; in addition, the system also has self-optimization capabilities, which can continuously improve based on user feedback and usage, further enhancing user satisfaction and loyalty.

[0023] 5. By monitoring the water quality after purification and optimizing the parameters of the evaluation function based on the monitoring results, this method can ensure the continuous and stable purification effect. This feedback mechanism helps to promptly identify and correct deviations in the purification process, thereby improving the reliability and consistency of the purified water quality.

[0024] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic flowchart of a direct drinking water purification method according to an embodiment of the present invention.

[0027] Figure 2 This is an execution flowchart of a direct drinking water electro-purification treatment method according to an embodiment of the present invention.

[0028] Figure 3 This is an execution flowchart of the electrocatalytic nanofiltration water purification mode according to an embodiment of the present invention.

[0029] Figure 4 This is an execution flowchart of the electrocoagulation reverse osmosis water purification mode according to an embodiment of the present invention.

[0030] Figure 5 This is an execution flowchart of the electrodialysis adsorption water purification mode according to an embodiment of the present invention.

[0031] Figure 6 This is a flowchart illustrating the monitoring and feedback process in an embodiment of the present invention.

[0032] Figure 7 This is a schematic diagram of the structure of a direct drinking water purification system according to an embodiment of the present invention. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] Reference Figure 1 One embodiment of the present invention proposes a direct drinking water purification method, which evaluates water quality requirements and selects different water purification modes based on the evaluation results, thereby responding to water quality changes and user needs in real time, improving purification efficiency, and reducing resource consumption.

[0035] The method described in this embodiment specifically includes:

[0036] like Figure 2 As shown, water quality data and water demand data of the water to be treated are collected periodically;

[0037] Specifically, water quality data includes, but is not limited to, pH value, turbidity, dissolved oxygen, total dissolved solids (TDS), heavy metal content, and total bacterial count. These data reflect the original quality status of the water. Water demand data refers to water quality standards determined based on the user's actual needs or application scenarios (such as household drinking water, industrial production, medical water, etc.).

[0038] Based on the water quality data and the water demand data, a water quality demand evaluation value is calculated.

[0039] Specifically, advanced data analysis techniques (such as machine learning and deep learning) can be used to process and analyze the collected water quality data and water demand data, establish evaluation models, and calculate water quality demand evaluation values. These evaluation values ​​comprehensively reflect the gap between the current water quality and the required water quality standards.

[0040] Based on the water quality requirement evaluation value, select the electrocatalytic nanofiltration water purification mode, the electrocoagulation reverse osmosis water purification mode, or the electrodialysis adsorption water purification mode to purify the water to be treated.

[0041] Specifically, based on the calculated water quality demand evaluation value, the system intelligently selects the most suitable water purification mode for treatment. For example, if the water quality is poor and needs to be improved quickly, the more efficient electrodialysis adsorption water purification mode may be selected; if the water quality is relatively good and there are requirements for energy consumption, the electrocatalytic nanofiltration water purification mode may be selected.

[0042] Furthermore, the step of calculating the water quality demand evaluation value based on the water quality data and the water demand data includes:

[0043] Feature extraction is performed on the water quality data and the water demand data to obtain a basic feature dataset;

[0044] Specifically, key features that have a significant impact on water quality demand assessment are extracted from the water quality data and water demand data of the water to be treated. This may include steps such as data cleaning (removing outliers, filling in missing values, etc.), data transformation (such as logarithmic transformation, standardization, etc.), and feature selection (screening features based on indicators such as correlation and importance). Finally, a set of basic feature datasets containing key features is obtained.

[0045] For example, suppose the water quality data of the water to be treated includes pH value, turbidity, dissolved oxygen, total dissolved solids (TDS), heavy metal content, etc., and the water demand data is the household drinking water standard; through feature extraction, pH value, turbidity, and TDS may be selected as key features because they have a direct impact on the quality of household drinking water.

[0046] Establish an evaluation function to characterize the relationship between the basic feature data and the water quality demand evaluation value;

[0047] Specifically, a mathematical relationship is established between the basic feature dataset and the water quality demand evaluation value, so as to calculate the water quality demand evaluation value based on the basic feature dataset.

[0048] The water quality requirement evaluation value is calculated by substituting the basic feature dataset into the evaluation function.

[0049] Specifically, the newly collected basic feature dataset (such as pH value, turbidity, and TDS of new samples) is substituted into the established evaluation function to calculate the water quality demand evaluation value.

[0050] Furthermore, the basic feature dataset obtained by extracting features from the water quality data and the water demand data includes:

[0051] The water quality data and the water demand data are preprocessed to obtain a preliminary dataset;

[0052] Specifically, the main purpose of preprocessing is to clean and prepare the raw data to ensure data quality and accuracy of analysis. This includes handling missing values, outliers, duplicate values, etc., as well as performing data transformations as needed (such as data type conversion, date and time processing, etc.).

[0053] For example, suppose there is a water quality dataset containing the following fields: sampling date, pH value, turbidity, dissolved oxygen, total dissolved solids (TDS), heavy metal content, etc.; preprocessing may include: for missing pH values, you can choose to fill in the median, mean, or use interpolation methods; identify and handle extreme outliers in turbidity or TDS, which can be done by setting thresholds or using statistical methods (such as box plot methods); convert the sampling date from string format to date-time format for time series analysis; after preprocessing, a cleaned preliminary dataset is obtained.

[0054] Feature extraction is performed on the preliminary dataset to obtain the standard dataset;

[0055] Specifically, feature extraction involves selecting features from the initial dataset that are crucial for assessing water quality requirements; these features should reflect different aspects of water quality, such as physical, chemical, and biological properties.

[0056] For example, the initial dataset after preprocessing may contain many fields, but not all fields directly contribute to the assessment of water quality requirements. Through feature extraction, the following key features can be selected: pH value, reflecting the acidity or alkalinity of water; turbidity, reflecting the content of suspended solids in water; TDS, reflecting the total amount of dissolved solids in water, including salts, minerals, etc.; and heavy metal content, such as lead and mercury, which have important health effects. After feature extraction, a standard dataset containing key features is obtained.

[0057] The standard dataset is normalized to obtain the basic feature dataset.

[0058] Specifically, normalization transforms characteristic values ​​with different dimensions to the same dimension for comparison and calculation. This helps prevent certain characteristics from dominating the analysis results due to excessively large numerical ranges.

[0059] For example, suppose our standard dataset contains features such as pH (typically ranging from 0 to 14), turbidity (potentially ranging from 0 to several hundred NTU), and TDS (unit: mg / L, potentially with a wide range). These features have very different numerical ranges, and without normalization, the model may become overly sensitive to features with large numerical ranges. There are many normalization methods, such as min-max normalization and Z-score normalization. After applying these methods, all feature values ​​will be scaled to between 0 and 1, forming a basic feature dataset for subsequent analysis and calculation.

[0060] Furthermore, the evaluation function used to establish the relationship between the basic feature data and the water quality demand evaluation value includes:

[0061] Collect historical water quality assessment data and historical basic characteristic datasets to construct a historical dataset;

[0062] Specifically, suppose there is historical water quality assessment data and corresponding basic characteristic dataset over a period of time. This data may come from water quality monitoring stations, laboratory tests, or user feedback. The historical assessment data includes water quality demand evaluation values ​​at different points in the past (e.g., scores or grades assigned according to a certain water quality standard), while the basic characteristic dataset contains water quality indicator data corresponding to these assessments, such as pH value, turbidity, TDS (total dissolved solids), heavy metal content, etc.

[0063] Based on the historical basic feature dataset, a linear regression model is established to characterize the water quality demand evaluation value.

[0064] The parameters of the linear regression model are optimized using the historical dataset to obtain the evaluation function. For the water quality demand evaluation value P, we have:

[0065] P = α1T1 + α2T2 + ... + α n T n +β,

[0066] In the formula, α n T represents the regression coefficient corresponding to the nth basic feature data in the basic feature dataset. n β represents the nth basic feature data in the basic feature dataset, and β is the error term.

[0067] Specifically, with historical datasets available, various optimization algorithms (such as least squares, gradient descent, etc.) can be used to fit the parameters of the linear regression model (i.e., regression coefficients α1, α2, ..., α...). n The optimization objective is to minimize the difference between the water quality demand assessment value predicted by the model and the actual historical assessment data.

[0068] For example, assuming the optimized linear regression model parameters are α1 = 2.5 for pH, α2 = -3.0 for turbidity, α3 = 0.1 for TDS, α4 = -100 for heavy metal content, and β = 50; then the evaluation function can be expressed as P = 2.5 × pH - 3.0 × turbidity + 0.1 × TDS - 100 × heavy metal content + 50. This evaluation function can be used to predict water quality demand evaluation values ​​based on new basic water quality characteristics data, and select appropriate water purification modes for purification treatment accordingly.

[0069] Furthermore, the step of selecting an electro-catalytic nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode, or an electrodialysis adsorption water purification mode to purify the water to be treated based on the water quality requirement evaluation value includes:

[0070] Determine whether the water quality demand evaluation value is less than a preset first threshold;

[0071] Specifically, based on water quality standards and purification requirements, two thresholds need to be preset: the first threshold and the second threshold. These two thresholds divide the water quality demand evaluation value into three intervals, each corresponding to a different water purification mode. Next, the water quality demand evaluation value obtained from real-time or periodic testing is compared with the preset thresholds.

[0072] If so, then select the electrocatalytic nanofiltration water purification mode to purify the water to be treated;

[0073] Specifically, if the water quality requirement assessment value is less than the first threshold, it means that the water quality is relatively good and only basic purification treatment is needed. Therefore, the electrocatalytic nanofiltration water purification mode is selected.

[0074] If not, determine whether the water quality demand evaluation value is less than the preset second threshold.

[0075] If so, then select the electrocoagulation reverse osmosis water purification mode to purify the water to be treated;

[0076] Specifically, if the water quality requirement assessment value is not less than the first threshold but less than the second threshold, it indicates that the water quality is polluted to a certain extent and requires more in-depth purification treatment. In this case, the electrocoagulation reverse osmosis water purification mode should be selected.

[0077] If not, then select the electrodialysis adsorption water purification mode to purify the water to be treated.

[0078] Specifically, if the water quality requirement assessment value is not less than the second threshold, it indicates that the water pollution is serious and the most effective purification technology needs to be adopted. Therefore, the electrodialysis adsorption water purification mode is selected.

[0079] For example, assuming a preset first threshold of 60 and a second threshold of 80, the water purification mode is determined based on the real-time detected water quality demand evaluation value. If the water quality demand evaluation value is 55, which is less than the first threshold of 60, it indicates that the water quality is relatively good, possibly containing only a small amount of impurities or microorganisms. In this case, the electrocatalytic nanofiltration water purification mode is selected for purification. This mode promotes the filtration effect of the nanofiltration membrane through electrocatalysis, effectively removing suspended solids, organic matter, and some inorganic salts from the water. If the water quality demand evaluation value is 70, which is not less than the first threshold of 60 but less than the second threshold... A water quality score of 80 indicates some water pollution, potentially containing high levels of dissolved solids, heavy metal ions, or organic pollutants. In this case, the electrocoagulation reverse osmosis purification mode should be selected. This mode uses electrocoagulation to aggregate colloidal particles and suspended solids in the water into larger particles, facilitating subsequent reverse osmosis membrane filtration. Simultaneously, the reverse osmosis membrane efficiently removes dissolved solids and most organic matter from the water. If the water quality assessment score is 90, not less than the second threshold of 80, it indicates severe water pollution, potentially containing high concentrations of dissolved solids, heavy metal ions, organic pollutants, and microorganisms. In this case, the electrodialysis adsorption purification mode should be selected. This mode combines the advantages of electrodialysis and adsorption technologies, efficiently removing various pollutants from the water, including difficult-to-treat organic pollutants and heavy metal ions, ensuring that the purified water meets drinking water standards.

[0080] Furthermore, such as Figure 3 As shown, the step of selecting the electrocatalytic nanofiltration water purification mode to purify the water to be treated includes:

[0081] Pre-treatment of the water to be treated;

[0082] Specifically, pretreatment of the water to be treated typically involves removing large particulate impurities, suspended solids, and some organic matter from the water; pretreatment methods may include sedimentation, filtration, coagulation, etc.

[0083] The pretreated water was subjected to electrocatalytic oxidation to obtain the first water sample;

[0084] Specifically, the pretreated water enters the electrocatalytic oxidation treatment stage. In this stage, using electrochemical principles, substances with strong oxidizing properties (such as hydroxyl radicals) are generated through electrode reactions. These substances can efficiently oxidize and decompose organic pollutants in the water, and even some inorganic pollutants, thereby improving the biodegradability of the water and the efficiency of pollutant removal.

[0085] The first water sample was filtered using a nanofiltration membrane to obtain a first purified water sample.

[0086] Specifically, the water after electrocatalytic oxidation treatment, i.e., the first water sample, is then filtered through a nanofiltration membrane. A nanofiltration membrane is a filter membrane with nanoscale pores that can effectively remove particles, colloids, bacteria, and some dissolved solids from the water, further purifying the water quality.

[0087] Collect water quality data of the first purified water sample and calculate the first purification result value using the evaluation function;

[0088] Specifically, water quality data of the first purified water sample after filtration through a nanofiltration membrane are collected, and the first purification result value is calculated using the previously established evaluation function. This evaluation function is based on the relationship between the water quality demand evaluation value and the basic characteristic data, and can comprehensively reflect the quality of the water.

[0089] Determine whether the first purification result value is greater than a preset third threshold;

[0090] If so, then the electrodialysis adsorption water purification mode is selected to purify the first purified water sample;

[0091] Specifically, the first purification result value is compared with the preset third threshold. If the first purification result value is greater than the third threshold, it means that although the water has been treated by the electrocatalytic nanofiltration water purification mode, the water quality has not achieved the expected purification effect and there may still be some pollutants that are difficult to remove. At this time, it is necessary to select a more powerful water purification mode for further purification, namely the electrodialysis adsorption water purification mode.

[0092] If not, the purification process ends and the first purified water sample is output.

[0093] Specifically, if the first purification result value is less than or equal to the third threshold, it means that the water quality has reached the expected purification effect, the purification process can be ended, and the first purified water sample can be output for direct drinking water use.

[0094] For example, suppose the preset third threshold is 50 (this threshold is set according to water quality standards and purification requirements); now, the water to be treated, after pretreatment and electrocatalytic oxidation, yields a first water sample; then, the first water sample is filtered using a nanofiltration membrane to obtain a first purified water sample; then, water quality data of the first purified water sample (such as pH value, turbidity, TDS, heavy metal content, etc.) are collected, and the first purification result value is calculated using an evaluation function to be 45; since 45 is less than the preset third threshold of 50, it indicates that the water quality has reached the expected purification effect; therefore, the purification process ends, and the first purified water sample is output for direct drinking water use; if the first purification result value is 55, which is greater than the preset third threshold of 50, then it is necessary to select the electrodialysis adsorption water purification mode to further purify the first purified water sample to ensure that the water quality meets the standards for direct drinking water.

[0095] Furthermore, such as Figure 4 As shown, the process of selecting the electrocoagulation reverse osmosis water purification mode to purify the water to be treated includes:

[0096] Pre-treatment of the water to be treated;

[0097] Specifically, similar to the electrocatalytic nanofiltration water purification mode, the water to be treated is first pretreated to remove large particulate impurities, suspended solids, and some easily removable contaminants. Pretreatment steps may include screen filtration, sedimentation, and coagulation.

[0098] The pretreated water was subjected to electrocoagulation to obtain a second water sample.

[0099] Specifically, the pretreated water enters the electrocoagulation treatment stage. In this stage, an electric current is applied to charge the colloidal particles and suspended solids in the water, causing them to coagulate and form larger particle clusters, which facilitate subsequent filtration. At the same time, some oxidizing substances may also be generated during the electrocoagulation process, which helps to remove some organic matter from the water.

[0100] The second water sample was filtered using a reverse osmosis membrane to obtain a second purified water sample.

[0101] Specifically, the water after electrocoagulation treatment, i.e. the second water sample, is then filtered through a reverse osmosis membrane. A reverse osmosis membrane is a semi-permeable membrane with extremely high selectivity. It only allows water molecules to pass through, while preventing most of the salts, organic matter, microorganisms, etc. dissolved in the water from passing through, thereby obtaining highly pure purified water, i.e. the second purified water sample.

[0102] Collect water quality data of the second purified water sample and use the evaluation function to calculate the second purification result value;

[0103] Specifically, water quality data of the second purified water sample is collected, and the second purification result value is calculated using the previously established evaluation function. This evaluation function can comprehensively reflect the quality of the water and is an important basis for judging the purification effect.

[0104] Determine whether the second purification result value is greater than the third threshold;

[0105] If so, then select the electro-catalytic nanofiltration water purification mode to purify the second purified water sample;

[0106] Specifically, the second purification result value is compared with the preset third threshold. If the second purification result value is greater than the third threshold, it means that although the water has been treated by the electrocoagulation reverse osmosis water purification mode, the water quality has not yet achieved the expected purification effect. There may still be some pollutants that are difficult to remove or the purification effect is not ideal. At this time, in order to further improve the water quality, the electrocatalytic nanofiltration water purification mode can be selected to further purify the second purified water sample.

[0107] If not, the purification process ends and the second purified water sample is output.

[0108] Specifically, if the second purification result value is less than or equal to the third threshold, it means that the water quality has reached the expected purification effect, the purification process can be ended, and the second purified water sample can be output for direct drinking water use.

[0109] For example, suppose the preset third threshold is 40 (this threshold is set according to water quality standards and purification requirements); now, the water to be treated, after pretreatment and electrocoagulation, yields a second water sample; then, the second water sample is filtered using a reverse osmosis membrane to obtain a second purified water sample; then, water quality data of the second purified water sample (such as pH value, turbidity, TDS, heavy metal content, microbial indicators, etc.) are collected, and the second purification result value is calculated using an evaluation function to be 35; since 35 is less than the preset third threshold of 40, it indicates that the water quality has reached the expected purification effect and meets the standards for direct drinking water; therefore, the purification process ends, and the second purified water sample is output for direct drinking water use; if the second purification result value is 45, which is greater than the preset third threshold of 40, then it is necessary to select the electrocatalytic nanofiltration water purification mode to further purify the second purified water sample to ensure that the water quality reaches a higher purification standard; this flexible purification mode selection can provide the optimal purification solution according to different water quality conditions, ensuring the safety and health of direct drinking water.

[0110] Furthermore, such as Figure 5 As shown, the step of selecting the electrodialysis adsorption water purification mode to purify the water to be treated includes:

[0111] Pre-treatment of the water to be treated;

[0112] Specifically, similar to the electrocatalytic nanofiltration water purification mode, the water to be treated is first pretreated to remove large particulate impurities, suspended solids, and some easily removable contaminants. Pretreatment steps may include screen filtration, sedimentation, and coagulation.

[0113] The pretreated water was subjected to electrodialysis to obtain a third water sample.

[0114] Specifically, the pretreated water can be treated with electrodialysis. Electrodialysis is a technology that uses the selective permeability of a semi-permeable membrane and the effect of an electric field to allow ions in the water to selectively pass through the membrane, thereby achieving water purification. Through electrodialysis, some dissolved solids, heavy metal ions, etc., can be removed from the water to obtain a third water sample.

[0115] The impurities in the second water sample were adsorbed using activated carbon to obtain a third purified water sample.

[0116] Specifically, the second water sample (note that the original text mentions "second water sample", but according to the context, this should be the "third water sample" after electrodialysis treatment being treated with activated carbon adsorption) is then subjected to activated carbon adsorption treatment. Activated carbon has a very strong adsorption capacity and can adsorb organic matter, residual chlorine, some heavy metal ions, as well as odors and discoloration in the water, thereby further purifying the water quality and obtaining the third purified water sample.

[0117] The water quality data of the third purified water sample is collected and the evaluation function is used to calculate the third purification result value;

[0118] Specifically, water quality data of the third purified water sample is collected, including indicators such as pH value, turbidity, TDS (total dissolved solids), heavy metal content, and organic matter content. The third purification result value is calculated using the previously established evaluation function. This evaluation function is an important indicator that comprehensively reflects the quality of water and is used to determine whether the purification effect has met expectations.

[0119] Determine whether the third purification result value is greater than the third threshold;

[0120] If so, then the electrocoagulation reverse osmosis water purification mode is selected to purify the third purified water sample;

[0121] Specifically, the third purification result value is compared with the preset third threshold. If the third purification result value is greater than the third threshold, it means that although the water has been treated by electrodialysis and activated carbon adsorption, the water quality has not yet achieved the expected purification effect. There may still be some pollutants that are difficult to remove or the purification effect is not ideal. In this case, in order to further improve the water quality, the electrocoagulation reverse osmosis water purification mode can be selected to further purify the third purified water sample.

[0122] If not, the purification process ends and the third purified water sample is output.

[0123] Specifically, if the third purification result value is less than or equal to the third threshold, it means that the water quality has reached the expected purification effect and meets the standard for direct drinking water. At this time, the purification process can be ended and the third purified water sample can be output for direct drinking water use.

[0124] For example, the preset third threshold is 50 (this threshold is set according to water quality standards and purification requirements); the water to be treated is first pretreated to remove large particulate impurities and suspended solids; then, the pretreated water is subjected to electrodialysis to remove some dissolved solids and heavy metal ions, resulting in a third water sample; next, the third water sample is subjected to activated carbon adsorption to remove organic matter, residual chlorine and other pollutants, resulting in a third purified water sample; water quality data of the third purified water sample is collected, and the third purification result value is calculated using an evaluation function to be 45; since 45 is less than the preset third threshold of 50, it indicates that the water quality has reached the expected purification effect and meets the standards for direct drinking water; therefore, the purification process ends, and the third purified water sample is output for direct drinking water use; if the third purification result value is 55, which is greater than the preset third threshold of 50, then it is necessary to select the electrocoagulation reverse osmosis water purification mode to further purify the third purified water sample to ensure that the water quality reaches a higher purification standard; this combination of multiple purification technologies can provide the optimal purification solution according to different water quality conditions, ensuring the safety and health of direct drinking water.

[0125] Furthermore, such as Figure 6 As shown, the method further includes:

[0126] Determine whether the first purification result value, the second purification result value, or the third purification result value is greater than the third threshold;

[0127] Specifically, after completing a series of purification processes, the system will calculate the first purification result value (water quality result after electro-catalytic nanofiltration), the second purification result value (water quality result after electro-coagulation reverse osmosis), and the third purification result value (water quality result after electrodialysis plus activated carbon adsorption). It will then determine whether any of these purification result values ​​exceed a preset third threshold.

[0128] If so, the parameters of the evaluation function are optimized using the current water quality demand evaluation value and the current basic feature dataset to obtain a new evaluation function.

[0129] Specifically, if any purification result value exceeds the third threshold, it indicates that the current evaluation function may not accurately reflect the water purification effect, or that the water quality has changed significantly, rendering the original evaluation function inapplicable. In this case, it is necessary to optimize the parameters of the evaluation function using the current water quality demand evaluation value (i.e., the expected water quality standard) and the current basic feature dataset (including the actual measured values ​​of various water quality indicators). After optimization, a new evaluation function will be obtained, which can more accurately reflect the water purification effect and provide a more reliable basis for subsequent purification treatment.

[0130] For example, the preset third threshold is 50. During the electrocatalytic nanofiltration water purification process, the calculated first purification result value is 55. Since the first purification result value of 55 is greater than the third threshold of 50, it is determined that the current evaluation function may not accurately reflect the water purification effect. Therefore, the parameters of the evaluation function are optimized using the current water quality demand evaluation values ​​(such as expected TDS value, pH range, heavy metal content, etc.) and the current basic feature dataset (such as actual measured TDS value, pH value, heavy metal content, etc.). After optimization, a new evaluation function is obtained, which may pay more attention to the evaluation indicators of TDS value and heavy metal content, and adjusts the weights and calculation methods of these indicators. Recalculating the purification result value using the new evaluation function can more accurately determine whether the water quality meets the expected standard and provide guidance for subsequent purification treatment. In this way, the direct drinking water electrofiltration treatment can continuously adapt to changes in water quality conditions, optimize the evaluation function, and improve the accuracy and reliability of the purification effect.

[0131] Based on the same inventive concept, such as Figure 7 As shown, the present invention also provides a direct drinking water purification system, the system comprising:

[0132] The data acquisition module is used to periodically collect water quality data and water demand data of the water to be treated;

[0133] The water quality assessment module is used to calculate the water quality demand evaluation value based on the water quality data and the water demand data.

[0134] The water purification module is used to select an electro-catalytic nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode, or an electro-dialysis adsorption water purification mode to purify the water to be treated based on the water quality requirement evaluation value.

[0135] The monitoring and feedback module is used to monitor the water quality after purification and optimize the parameters of the evaluation function based on the monitoring results.

[0136] It should be noted that the electrical connections between the various units described above do not necessarily represent connections between circuits. Indirect connections are acceptable as long as they achieve the objectives of this invention. The above descriptions are merely exemplary embodiments of this invention and should not be construed as limiting the scope of the invention.

[0137] All equivalent changes and modifications made in accordance with the teachings of this invention are still within the scope of this invention. Those skilled in the art will readily conceive of other embodiments of this invention upon considering the specification and the disclosure of practical truth. This application is intended to cover any variations, uses, or adaptations of this invention that follow the general principles of this invention and include common knowledge or conventional techniques in the art not described herein.

Claims

1. A method for purifying direct drinking water using electricity, characterized in that, The method includes: Periodically collect water quality data and water demand data for the water to be treated; Based on the water quality data and the water demand data, a water quality demand evaluation value is calculated; this includes: extracting features from the water quality data and the water demand data to obtain a basic feature dataset; establishing an evaluation function to characterize the relationship between the basic feature data and the water quality demand evaluation value; and substituting the basic feature dataset into the evaluation function to calculate the water quality demand evaluation value. Based on the water quality requirement evaluation value, select the electro-catalytic nanofiltration water purification mode, the electro-coagulation reverse osmosis water purification mode, or the electro-dialysis adsorption water purification mode to purify the water to be treated. Among them, the purification of water by selecting electro-catalytic nanofiltration, electro-coagulation reverse osmosis, or electrodialysis adsorption water purification modes includes: Determine whether the water quality demand evaluation value is less than a preset first threshold; If the water quality requirement evaluation value is less than the first threshold, the electrocatalytic nanofiltration water purification mode is selected to purify the water to be treated; this includes pre-treating the water to be treated; electrocatalytically oxidizing the pre-treated water to obtain a first water sample; filtering the first water sample using a nanofiltration membrane to obtain a first purified water sample; collecting the water quality data of the first purified water sample and calculating a first purification result value using the evaluation function; determining whether the first purification result value is greater than a preset third threshold; if yes, the electrodialysis adsorption water purification mode is selected to purify the first purified water sample; if no, the purification process ends and the first purified water sample is output. If the water quality demand evaluation value is greater than or equal to the first threshold, then determine whether the water quality demand evaluation value is less than the preset second threshold. If the water quality requirement evaluation value is less than the second threshold, the electrocoagulation reverse osmosis water purification mode is selected to purify the water to be treated; this includes pre-treating the water to be treated; performing electrocoagulation on the pre-treated water to obtain a second water sample; filtering the second water sample using a reverse osmosis membrane to obtain a second purified water sample; collecting water quality data of the second purified water sample and calculating a second purification result value using the evaluation function; determining whether the second purification result value is greater than the third threshold; if yes, the electrocatalytic nanofiltration water purification mode is selected to purify the second purified water sample; if no, the purification process ends and the second purified water sample is output. If the water quality requirement evaluation value is greater than or equal to the second threshold, then the electrodialysis adsorption water purification mode is selected to purify the water to be treated; this includes pretreatment of the water to be treated; electrodialysis treatment of the pretreated water to obtain a third water sample; adsorption of impurities in the second water sample using activated carbon to obtain a third purified water sample; collection of water quality data of the third purified water sample and calculation of the third purification result value using the evaluation function; determination of whether the third purification result value is greater than the third threshold; if yes, then the electrocoagulation reverse osmosis water purification mode is selected to purify the third purified water sample; if no, then the purification process ends and the third purified water sample is output. The method further includes: Determine whether the first purification result value, the second purification result value, or the third purification result value is greater than the third threshold; if so, optimize the parameters of the evaluation function using the current water quality demand evaluation value and the current basic feature dataset to obtain a new evaluation function.

2. The method for purifying direct drinking water according to claim 1, characterized in that, The basic feature dataset obtained by extracting features from the water quality data and the water demand data includes: The water quality data and the water demand data are preprocessed to obtain a preliminary dataset; Feature extraction is performed on the preliminary dataset to obtain the standard dataset; The standard dataset is normalized to obtain the basic feature dataset.

3. The method for purifying direct drinking water according to claim 1, characterized in that, The evaluation function used to establish the relationship between the basic feature data and the water quality demand evaluation value includes: Collect historical water quality assessment data and historical basic characteristic datasets to construct a historical dataset; Based on the historical basic feature dataset, a linear regression model is established to characterize the water quality demand evaluation value. The parameters of the linear regression model are optimized using the historical dataset to obtain the evaluation function. For the water quality demand evaluation value P, we have: P=α1T1+α2T2+…+α n T n +b, In the formula, α n T represents the regression coefficient corresponding to the nth basic feature data in the basic feature dataset. n β represents the nth basic feature data in the basic feature dataset, and β is the error term.

4. A direct drinking water purification system, characterized in that, The system includes: The data acquisition module is used to periodically collect water quality data and water demand data of the water to be treated; The water quality assessment module is used to calculate a water quality demand evaluation value based on the water quality data and the water demand data; including: extracting features from the water quality data and the water demand data to obtain a basic feature dataset; establishing an evaluation function to characterize the relationship between the basic feature data and the water quality demand evaluation value; and substituting the basic feature dataset into the evaluation function to calculate the water quality demand evaluation value. The water purification module is used to select an electro-catalytic nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode, or an electro-dialysis adsorption water purification mode to purify the water to be treated based on the water quality requirement evaluation value. Among them, the purification of water by selecting electro-catalytic nanofiltration, electro-coagulation reverse osmosis, or electrodialysis adsorption water purification modes includes: Determine whether the water quality demand evaluation value is less than a preset first threshold; If the water quality requirement evaluation value is less than the first threshold, the electrocatalytic nanofiltration water purification mode is selected to purify the water to be treated; this includes pre-treating the water to be treated; electrocatalytically oxidizing the pre-treated water to obtain a first water sample; filtering the first water sample using a nanofiltration membrane to obtain a first purified water sample; collecting the water quality data of the first purified water sample and calculating a first purification result value using the evaluation function; determining whether the first purification result value is greater than a preset third threshold; if yes, the electrodialysis adsorption water purification mode is selected to purify the first purified water sample; if no, the purification process ends and the first purified water sample is output. If the water quality demand evaluation value is greater than or equal to the first threshold, then determine whether the water quality demand evaluation value is less than the preset second threshold. If the water quality requirement evaluation value is less than the second threshold, the electrocoagulation reverse osmosis water purification mode is selected to purify the water to be treated; this includes pre-treating the water to be treated; performing electrocoagulation on the pre-treated water to obtain a second water sample; filtering the second water sample using a reverse osmosis membrane to obtain a second purified water sample; collecting water quality data of the second purified water sample and calculating a second purification result value using the evaluation function; determining whether the second purification result value is greater than the third threshold; if yes, the electrocatalytic nanofiltration water purification mode is selected to purify the second purified water sample; if no, the purification process ends and the second purified water sample is output. If the water quality requirement evaluation value is greater than or equal to the second threshold, then the electrodialysis adsorption water purification mode is selected to purify the water to be treated; this includes pretreatment of the water to be treated; electrodialysis treatment of the pretreated water to obtain a third water sample; adsorption of impurities in the second water sample using activated carbon to obtain a third purified water sample; collection of water quality data of the third purified water sample and calculation of the third purification result value using the evaluation function; determination of whether the third purification result value is greater than the third threshold; if yes, then the electrocoagulation reverse osmosis water purification mode is selected to purify the third purified water sample; if no, then the purification process ends and the third purified water sample is output. The monitoring and feedback module is used to monitor the water quality after purification and optimize the parameters of the evaluation function based on the monitoring results. This includes determining whether the first purification result value, the second purification result value, or the third purification result value is greater than the third threshold. If so, the parameters of the evaluation function are optimized using the current water quality demand evaluation value and the current basic feature dataset to obtain a new evaluation function.

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