Direct drinking water electric purification treatment method and system
By evaluating the value calculation of water quality demand and choosing different water purification modes, the problems of low efficiency, high cost and unstable purification effect in the prior art are solved, and efficient, economical and stable water quality treatment is achieved.
Patent Information
- Application Number
- CN202411750832.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-03-14
- Estimated Expiration
- 2044-12-02
AI Technical Summary
When faced with complex and changing water quality pollution, the existing direct drinking water treatment technology has low treatment efficiency, high cost and unstable purification effect, making it difficult to meet the diversified water quality needs of different water sources.
By periodically collecting water quality data and water demand data, calculating the water quality demand evaluation value, and selecting different water purification modes such as electro-induced nanofiltration, electrocondensation reverse osmosis or electrodialysis adsorption for treatment based on the evaluation value, and responding to water quality changes and user needs in real time.
It improves purification efficiency, reduces resource consumption, ensures the stability and reliability of water quality, and improves users' drinking water experience and system self-optimization capabilities.
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Figure CN119624519A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of water treatment, and in particular to a method and system for direct drinking water electro-purification treatment. Background Art
[0002] With the rapid development of modern industrialization and urbanization, water pollution has become increasingly serious, and water safety has become the focus of social attention. Although traditional water treatment technology has improved water quality to a certain extent, it often has problems such as low treatment efficiency, high cost, and unstable purification effect when facing complex and changeable water pollution. Especially in the field of direct drinking water, how to efficiently and economically provide safe and healthy drinking water has become a technical problem that needs to be solved urgently.
[0003] Existing direct drinking water treatment technologies mainly include pretreatment, filtration, disinfection and other steps. Commonly used filtration technologies include ultrafiltration (UF), nanofiltration (NF) and reverse osmosis (RO). Although these technologies can effectively remove suspended matter, colloids, bacteria and some organic matter in water, they are still limited in treating soluble salts, heavy metal ions and some difficult-to-degrade organic matter. In addition, the water quality of different water sources varies greatly, and the traditional single water treatment model often cannot meet the diverse water quality requirements. Summary of the invention
[0004] To solve the above problems, the present invention provides a direct drinking water electropurification treatment method and system, which evaluates water quality requirements and selects different water purification modes according to the evaluation results, thereby responding to water quality changes and user needs in real time, improving purification efficiency and reducing resource consumption.
[0005] The above objectives can be achieved through the following solutions:
[0006] A method for direct drinking water electro-purification treatment, comprising periodically collecting water quality data and water demand data of 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-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] Furthermore, the calculation of 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 data set; establishing an evaluation function for characterizing the relationship between the basic feature data and the water quality demand evaluation value; substituting the basic feature data set into the evaluation function to calculate the water quality demand evaluation value.
[0008] Furthermore, the feature extraction of the water quality data and the water demand data to obtain a basic feature data set includes: preprocessing the water quality data and the water demand data to obtain a preliminary data set; feature extraction of the preliminary data set to obtain a standard data set; and normalization of the standard data set to obtain a basic feature data set.
[0009] Furthermore, the establishment of an evaluation function for characterizing the relationship between the basic characteristic data and the water quality demand evaluation value includes: collecting historical water quality assessment data and historical basic characteristic data sets to construct a historical data set; establishing a linear regression model for characterizing the water quality demand evaluation value based on the historical basic characteristic data set; optimizing the parameters of the linear regression model using the historical data set to obtain an evaluation function, and for the water quality demand evaluation value P, there is
[0010] P=α1T1+α2T2+…+α n T n +β,
[0011] In the formula, α n is the regression coefficient corresponding to the nth basic feature data in the basic feature data set, T n is the nth basic feature data in the basic feature data set, and β is the error term.
[0012] Furthermore, the selection of the electro-nanofiltration water purification mode, the electro-coagulation reverse osmosis water purification mode or the electrodialysis adsorption water purification mode to purify the treated water according to the water quality demand evaluation value includes: judging whether the water quality demand evaluation value is less than a preset first threshold value; if so, selecting the electro-nanofiltration water purification mode to purify the treated water; if not, judging whether the water quality demand evaluation value is less than a preset second threshold value; if so, selecting the electro-coagulation reverse osmosis water purification mode to purify the treated water; if not, selecting the electrodialysis adsorption water purification mode to purify the treated water.
[0013] Furthermore, the selection of the electro-catalytic nanofiltration water purification mode to purify the water to be treated includes: pre-treating the water to be treated; performing electrocatalytic oxidation treatment on 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 water quality data of the first purified water sample and using the evaluation function to calculate a first purification result value; determining whether the first purification result value is greater than a preset third threshold value; if so, selecting the electrodialysis adsorption water purification mode to purify the first purified water sample; if not, terminating the purification process and outputting the first purified water sample.
[0014] Furthermore, the selection of the electro-coagulation reverse osmosis water purification mode to purify the water to be treated includes: pre-treating the water to be treated; performing electro-coagulation 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 using the evaluation function to calculate a second purification result value; determining whether the second purification result value is greater than the third threshold value; if so, selecting the electro-nanofiltration water purification mode to purify the second purified water sample; if not, terminating the purification process and outputting the second purified water sample.
[0015] Furthermore, the selection of the electrodialysis adsorption water purification mode to purify the treated water includes: pre-treating the treated water; 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 value; if so, selecting the electro-coagulation reverse osmosis water purification mode to purify the third purified water sample; if not, terminating the purification process and outputting the third purified water sample.
[0016] Furthermore, the method also 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 data set to obtain a new evaluation function.
[0017] Based on the same inventive concept, the present invention also provides a direct drinking water electro-purification treatment system, the system comprising: a data acquisition module, used to periodically collect water quality data and water demand data of the water to be treated; a water quality assessment module, used to calculate the water quality demand evaluation value based on the water quality data and the water demand data; a water purification module, used to select the electro-nanofiltration water purification mode, the electro-coagulation reverse osmosis water purification mode or the electrodialysis adsorption water purification mode to purify the water to be treated according to the water quality demand evaluation value; a monitoring feedback module, used to monitor the water quality after purification and optimize the parameters of the evaluation function according to the monitoring results.
[0018] Compared with the prior art, the present invention has the following advantages:
[0019] 1. The present invention can understand the changes in water quality and user demand in real time by periodically collecting water quality data and water demand data of the water to be treated; based on these data, the purification scheme can be dynamically adjusted to ensure that the water quality always meets the standards expected by the user, thereby improving the flexibility and adaptability of water quality treatment;
[0020] 2. The present invention can maximize the purification efficiency by accurately evaluating different water quality conditions and selecting the appropriate water purification mode; at the same time, by avoiding unnecessary excessive treatment, the overall resource consumption of the system (such as electricity, water resources, etc.) is effectively reduced;
[0021] 3. The system can more accurately predict and evaluate the purification effects of different water purification modes by establishing an evaluation function based on historical data and real-time data; this prediction capability helps the system select the optimal purification solution, thereby ensuring the stability and reliability of the purification effect; even in the face of complex and changeable water quality conditions, the system can maintain stable purification performance;
[0022] 4. Since the system can respond to users' water quality needs in real time and provide high-quality drinking water, the user's drinking water experience is significantly improved; in addition, the system also has self-optimization capabilities and can continuously improve based on user feedback and usage, further enhancing user satisfaction and loyalty;
[0023] 5. By monitoring the quality of the water after purification and optimizing the parameters of the evaluation function based on the monitoring results, this method can ensure the continuous stability of the purification effect; this feedback mechanism helps to timely discover and correct deviations in the purification process and improve the reliability and consistency of the purified water quality.
[0024] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0026] Figure 1 It is a flow chart of a direct drinking water electro-purification treatment method according to an embodiment of the present invention.
[0027] Figure 2 It is an execution flow chart of a direct drinking water electro-purification treatment method according to an embodiment of the present invention.
[0028] Figure 3 It is an execution flow chart of the electro-catalyzed nanofiltration water purification mode of an embodiment of the present invention.
[0029] Figure 4 It is an execution flow chart of the electrocoagulation reverse osmosis water purification mode of an embodiment of the present invention.
[0030] Figure 5 It is an execution flow chart of the electrodialysis adsorption water purification mode of an embodiment of the present invention.
[0031] Figure 6 It is an execution flow chart of monitoring feedback according to an embodiment of the present invention.
[0032] Figure 7 It is a structural schematic diagram of a direct drinking water electropurification treatment system according to an embodiment of the present invention. DETAILED DESCRIPTION
[0033] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0034] Reference Figure 1 An embodiment of the present invention proposes a direct drinking water electro-purification treatment method, which evaluates water quality requirements and selects different water purification modes according to 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 of 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 include but are not limited to pH value, turbidity, dissolved oxygen, total dissolved solids (TDS), heavy metal content, total bacteria count, etc. These data reflect the original quality of the water; water demand data is the water quality standard determined based on the user's actual needs or application scenarios (such as household drinking, industrial production, medical water, etc.).
[0038] Calculating a water quality demand evaluation value based on the water quality data and the water demand data;
[0039] Specifically, advanced data analysis technologies (such as machine learning and deep learning) can be used to process and analyze the collected water quality data and water demand data, establish an evaluation model, and calculate the water quality demand evaluation value; this evaluation value comprehensively reflects the gap between the current water quality and the required water quality standards.
[0040] According to the water quality demand evaluation value, an electro-nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode or an electrodialysis adsorption water purification mode is selected to purify the water to be treated.
[0041] Specifically, based on the calculated water quality demand evaluation value, the most appropriate water purification mode is intelligently selected 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 electro-catalyzed nanofiltration water purification mode may be selected.
[0042] Furthermore, the water quality demand evaluation value is calculated based on the water quality data and the water demand data, including:
[0043] Extracting features from the water quality data and the water demand data to obtain a basic feature data set;
[0044] Specifically, key features that have an important impact on water quality demand evaluation 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 missing values, etc.), data transformation (such as logarithmic transformation, standardization, etc.) and feature selection (selecting features based on indicators such as correlation and importance); finally, a set of basic feature data sets containing key features are obtained.
[0045] For example, assuming that 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] Establishing an evaluation function for characterizing the relationship between the basic characteristic data and the water quality demand evaluation value;
[0047] Specifically, a mathematical relationship between the basic characteristic data set and the water quality demand evaluation value is established so as to calculate the water quality demand evaluation value based on the basic characteristic data set.
[0048] Substitute the basic characteristic data set into the evaluation function to calculate the water quality demand evaluation value.
[0049] Specifically, the newly collected basic characteristic data set (such as pH value, turbidity, and TDS of the new sample) is substituted into the established evaluation function to calculate the water quality demand evaluation value.
[0050] Furthermore, the feature extraction of the water quality data and the water demand data to obtain a basic feature data set includes:
[0051] Preprocessing the water quality data and the water demand data to obtain a preliminary data set;
[0052] Specifically, the main purpose of preprocessing is to clean and prepare the raw data to ensure the quality of the data and the accuracy of the analysis. This includes processing missing values, outliers, duplicate values, etc., as well as performing data transformation 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 the median, mean, or use an interpolation method; identify and process extreme outliers in turbidity or TDS, which can be identified by setting a threshold or using statistical methods (such as the box plot method); convert the sampling date from a string format to a date time format for time series analysis; after preprocessing, a cleaned preliminary dataset is obtained.
[0054] Performing feature extraction on the preliminary data set to obtain a standard data set;
[0055] Specifically, feature extraction is the process of selecting features from the preliminary data set that are crucial for water quality demand assessment; these features should be able to reflect different aspects of water quality, such as physical properties, chemical properties, and biological properties.
[0056] For example, in the preliminary data set after preprocessing, many fields may be included, but not all fields directly contribute to the water quality demand assessment; through feature extraction, the following key features can be selected: pH value, reflecting the acidity and alkalinity of water; turbidity, reflecting the content of suspended solids in water; TDS, reflecting the total amount of soluble solids in water, including salts, minerals, etc.; heavy metal content, such as lead, mercury, etc., has an important impact on health; after feature extraction, a standard data set containing key features is obtained.
[0057] The standard data set is normalized to obtain a basic feature data set.
[0058] Specifically, normalization is to convert feature values of different dimensions to the same dimension for comparison and calculation. This helps to avoid certain features dominating the analysis results due to their large value range.
[0059] For example, suppose our standard data set contains features such as pH (usually ranging from 0-14), turbidity (may range from 0 to several hundred NTU), TDS (unit mg / L, the range may be very large); the numerical ranges of these features vary greatly, and if they are not normalized, the model may be overly sensitive to features with large numerical ranges; there are many normalization methods, such as minimum-maximum normalization, Z-score normalization, etc.; after applying these methods, all feature values will be scaled to between 0 and 1 to form a basic feature data set for subsequent analysis and calculation.
[0060] Furthermore, the evaluation function established to characterize the relationship between the basic characteristic data and the water quality demand evaluation value includes:
[0061] Collect historical water quality assessment data and historical basic characteristic data sets to construct historical data sets;
[0062] Specifically, assume that there are historical water quality assessment data and corresponding basic feature data sets over a period of time; these data may come from water quality monitoring stations, laboratory tests or user feedback, etc.; the historical assessment data include water quality demand evaluation values at different time points in the past (for example, scores or grades assessed according to certain water quality standards), and the basic feature data set contains water quality indicator data corresponding to these assessments, such as pH value, turbidity, TDS (total dissolved solids), heavy metal content, etc.
[0063] Establishing a linear regression model for characterizing the water quality demand evaluation value based on the historical basic characteristic data set;
[0064] The parameters of the linear regression model are optimized using the historical data set to obtain an evaluation function. For the water quality demand evaluation value P,
[0065] P=α1T1+α2T2+…+α n T n +β,
[0066] In the formula, α n is the regression coefficient corresponding to the nth basic feature data in the basic feature data set, T n is the nth basic feature data in the basic feature data set, and β is the error term.
[0067] Specifically, after having the historical data set, various optimization algorithms (such as least squares method, gradient descent method, etc.) can be used to fit the parameters of the linear regression model (i.e., regression coefficients α1, α2, ..., α n and error term β); the optimization goal is to minimize the difference between the water quality demand evaluation value predicted by the model and the actual historical assessment data.
[0068] For example, assuming that the linear regression model parameters obtained after optimization are α1 corresponding to pH value is 2.5, α2 corresponding to turbidity is -3.0, α3 corresponding to TDS is 0.1, α4 corresponding to heavy metal content is -100, and the error term β is 50; then, the evaluation function can be expressed as P = 2.5 × pH value - 3.0 × turbidity + 0.1 × TDS-100 × heavy metal content + 50; this evaluation function can be used to predict the water quality demand evaluation value according to the new basic water quality characteristic data, and select the appropriate water purification mode for purification treatment accordingly.
[0069] Further, the selecting of the electro-nanofiltration water purification mode, the electro-coagulation reverse osmosis water purification mode or the electrodialysis adsorption water purification mode to purify the water to be treated according to the water quality demand evaluation value includes:
[0070] Determining whether the water quality demand evaluation value is less than a preset first threshold;
[0071] Specifically, two thresholds, namely the first threshold and the second threshold, need to be preset according to water quality standards and purification requirements; these two thresholds divide the water quality demand evaluation value into three intervals, corresponding to different water purification modes; next, the water quality demand evaluation value obtained by real-time or periodic detection is compared with the preset thresholds.
[0072] If yes, then select the electro-nanofiltration water purification mode to purify the water to be treated;
[0073] Specifically, if the water quality demand evaluation value is less than the first threshold, it means that the water quality is relatively good and only basic purification treatment is required, so the electro-catalyzed nanofiltration water purification mode is selected.
[0074] If not, determining whether the water quality demand evaluation value is less than a preset second threshold;
[0075] If yes, the electrocoagulation reverse osmosis water purification mode is selected to purify the water to be treated;
[0076] Specifically, if the water quality demand evaluation value is not less than the first threshold but less than the second threshold, it means 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 is selected.
[0077] If not, the electrodialysis adsorption water purification mode is selected to purify the water to be treated.
[0078] Specifically, if the water quality demand evaluation value is not less than the second threshold, it means that the water quality is seriously polluted and the most powerful purification technology is needed, so the electrodialysis adsorption water purification mode is selected.
[0079] For example, it is assumed that the preset first threshold is 60 and the second threshold is 80; the water purification mode is determined according to the water quality demand evaluation value obtained by real-time detection; if the water quality demand evaluation value is 55, which is less than the first threshold of 60, it means that the water quality is relatively good and may contain only a small amount of impurities or microorganisms; at this time, the electro-catalytic nanofiltration water purification mode is selected for purification. This mode promotes the filtration effect of the nanofiltration membrane through electrocatalysis and can effectively remove suspended matter, organic matter and some inorganic salts in 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 If the water quality demand evaluation value is 90, which is not less than the second threshold value of 80, it means that the water quality is seriously polluted and may contain a large amount of dissolved solids, heavy metal ions or organic pollutants. At this time, the electrocoagulation reverse osmosis water purification mode is selected. This mode aggregates the colloidal particles and suspended matter in the water into larger particles through electrocoagulation, which is convenient for subsequent reverse osmosis membrane filtration. At the same time, the reverse osmosis membrane can efficiently remove dissolved solids and most organic matter in the water. If the water quality demand evaluation value is 90, which is not less than the second threshold value of 80, it means that the water quality is seriously polluted and may contain high concentrations of dissolved solids, heavy metal ions, organic pollutants and microorganisms. At this time, the electrodialysis adsorption water purification mode is selected for purification. This mode combines the advantages of electrodialysis and adsorption technology, and can efficiently remove various pollutants in the water, including difficult-to-treat organic pollutants and heavy metal ions, to ensure that the purified water quality meets the standard of direct drinking water.
[0080] Furthermore, if Figure 3 As shown, the selection of the electro-nanofiltration water purification mode to purify the water to be treated includes:
[0081] Pre-treat the water to be treated;
[0082] Specifically, the water to be treated is pretreated, and this step usually includes removing large particle impurities, suspended matter and some organic matter in the water; the pretreatment methods may include sedimentation, filtration, coagulation, etc.
[0083] Performing electrocatalytic oxidation treatment on the pretreated water to obtain a first water sample;
[0084] Specifically, the pretreated water enters the electrocatalytic oxidation treatment stage; in this stage, electrochemical principles are used to generate strong oxidizing substances (such as hydroxyl free radicals, etc.) through electrode reactions. These substances can efficiently oxidize and decompose organic pollutants and even some inorganic pollutants in the water, thereby improving the biodegradability of water and the efficiency of pollutant removal.
[0085] Filtering the first water sample 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 a nanometer-scale pore size that can effectively remove particles, colloids, bacteria, and some soluble solids in the water, thereby further purifying the water quality.
[0087] Collecting water quality data of the first purified water sample and using the evaluation function to calculate a first purification result value;
[0088] Specifically, water quality data of the first purified water sample after filtration by the nanofiltration membrane is collected, and the first purification result value is calculated using the previously established evaluation function; this evaluation function is established 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] Determining whether the first purification result value is greater than a preset third threshold;
[0090] If yes, 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 value; if the first purification result value is greater than the third threshold value, it means that although the water has been treated by the electro-catalyzed nanofiltration water purification mode, the water quality still does not reach 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, that is, 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 value, it means that the water quality has achieved the expected purification effect, the purification process can be ended, and the first purified water sample can be output for direct drinking water.
[0094] Exemplarily, assume that the preset third threshold is 50 (this threshold is set according to water quality standards and purification requirements); now the water to be treated is pretreated and electrocatalytically oxidized to obtain a first water sample; then the first water sample is filtered using a nanofiltration membrane to obtain a first purified water sample; then the water quality data of the first purified water sample (such as pH value, turbidity, TDS, heavy metal content, etc.) is collected, and the first purification result value is calculated using the evaluation function to obtain a first purification result value of 45; since 45 is less than the preset third threshold of 50, it means that the water quality has achieved the expected purification effect; therefore, the purification process is terminated, 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 direct drinking water standard.
[0095] Furthermore, if Figure 4 As shown, the selection of the electrocoagulation reverse osmosis water purification mode to purify the water to be treated includes:
[0096] Pre-treat the water to be treated;
[0097] Specifically, similar to the electro-nanofiltration water purification mode, the water to be treated is first pretreated to remove large particle impurities, suspended matter and some easily removable pollutants in the water. The pretreatment steps may include grid filtration, sedimentation, coagulation, etc.
[0098] Performing electrocoagulation treatment on the pretreated water to obtain a second water sample;
[0099] Specifically, the pretreated water enters the electrocoagulation treatment stage; in this stage, the colloidal particles and suspended matter in the water are charged by applying electric current, which then causes coagulation to form larger particle clusters, facilitating subsequent filtration treatment; at the same time, some oxidizing substances may also be produced during the electrocoagulation process, which helps to remove some organic matter in the water.
[0100] filtering the second water sample 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; the reverse osmosis membrane is a semi-permeable membrane with extremely high selective permeability, which only allows water molecules to pass through, while preventing most salts, organic matter, microorganisms, etc. dissolved in the water from passing through, thereby obtaining high-purity purified water, i.e., the second purified water sample.
[0102] Collecting water quality data of the second purified water sample and using the evaluation function to calculate a 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 water and is an important basis for judging the purification effect.
[0104] Determining whether the second purification result value is greater than the third threshold;
[0105] If yes, then selecting the electro-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 value; if the second purification result value is greater than the third threshold value, it means that although the water has been treated by the electro-coagulation reverse osmosis water purification mode, the water quality still has not reached the expected purification effect, and there may still be some difficult-to-remove pollutants or the purification effect is not ideal; at this time, in order to further improve the water quality, the electro-catalyzed 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 value, it means that the water quality has achieved the expected purification effect, the purification process can be ended, and the second purified water sample can be output for direct drinking water.
[0109] Exemplarily, assume that the preset third threshold is 40 (this threshold is set according to water quality standards and purification requirements); now, the water to be treated is pretreated and electrocoagulated to obtain a second water sample; then, the second water sample is filtered using a reverse osmosis membrane to obtain a second purified water sample; then, the water quality data of the second purified water sample (such as pH value, turbidity, TDS, heavy metal content, microbial indicators, etc.) is collected, and the second purification result value is calculated using the evaluation function to obtain a second purification result value of 35; since 35 is less than the preset third threshold of 40, it means that the water quality has achieved the expected purification effect and meets the standard for direct drinking water; therefore, the purification process is terminated and the second purified water sample is output for use as direct drinking water; 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 electro-nanofiltration water purification mode to further purify the second purified water sample to ensure that the water quality meets higher purification standards; this flexible purification mode selection can provide the optimal purification solution according to different water quality conditions to ensure the safety and health of direct drinking water.
[0110] Furthermore, if Figure 5 As shown, the selection of the electrodialysis adsorption water purification mode to purify the water to be treated includes:
[0111] Pre-treat the water to be treated;
[0112] Specifically, similar to the electro-nanofiltration water purification mode, the water to be treated is first pretreated to remove large particle impurities, suspended matter and some easily removable pollutants in the water. The pretreatment steps may include grid filtration, sedimentation, coagulation, etc.
[0113] Performing electrodialysis on the pretreated water to obtain a third water sample;
[0114] Specifically, the pretreated water can be subjected to electrodialysis treatment; electrodialysis is a technology that utilizes the selective permeability of a semipermeable membrane and the action of an electric field to allow ions in the water to selectively pass through the membrane, thereby achieving water purification; through electrodialysis treatment, some soluble solids, heavy metal ions, etc. in the water can be removed to obtain a third water sample.
[0115] Adsorbing impurities in the second water sample using activated carbon to obtain a third purified water sample;
[0116] Specifically, next, the second water sample (note that the original text mentions the "second water sample", but according to the context, it should be the "third water sample" after the electrodialysis treatment that is subjected to activated carbon adsorption) is subjected to activated carbon adsorption treatment; activated carbon has extremely strong adsorption capacity and can adsorb organic matter, residual chlorine, some heavy metal ions, as well as odor and color in water, thereby further purifying the water quality to obtain the third purified water sample.
[0117] Collecting water quality data of the third purified water sample and using the evaluation function to calculate a 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, and 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 meets expectations.
[0119] Determining whether the third purification result value is greater than the third threshold;
[0120] If yes, then selecting the electrocoagulation reverse osmosis water purification mode to purify the third purified water sample;
[0121] Specifically, the third purification result value is compared with the preset third threshold value; if the third purification result value is greater than the third threshold value, it means that although the water has been treated with electrodialysis and activated carbon adsorption, the water quality still does not reach the expected purification effect, and there may still be some difficult-to-remove pollutants or the purification effect is not ideal; at this time, 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 value, it means that the water quality has achieved the expected purification effect and meets the standard of direct drinking water; at this time, the purification process can be ended and the third purified water sample can be output for use as direct drinking water.
[0124] Exemplarily, 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 particle impurities and suspended matter; then, the pretreated water is electrodialyzed to remove some soluble solids and heavy metal ions to obtain a third water sample; then, the third water sample is treated with activated carbon adsorption to remove organic matter, residual chlorine and other pollutants to obtain 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 the evaluation function to obtain a value of 45; since 45 is less than the preset third threshold of 50, it means that the water quality has achieved the expected purification effect and meets the standard of direct drinking water; therefore, the purification process is terminated and the third purified water sample is output for use as direct drinking water; 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 best purification solution according to different water quality conditions to ensure the safety and health of direct drinking water.
[0125] Furthermore, if Figure 6 As shown, the method also 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 treatments, the first purification result value (water quality result after electro-nanofiltration water purification), the second purification result value (water quality result after electro-coagulation reverse osmosis water purification) and the third purification result value (water quality result after electrodialysis plus activated carbon adsorption) will be calculated respectively; it will be determined whether any of these purification result values is greater than 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 characteristic data set to obtain a new evaluation function.
[0129] Specifically, if any purification result value is greater than the third threshold, it means that the current evaluation function may not be able to accurately reflect the water purification effect, or the water quality conditions have changed significantly, causing the original evaluation function to no longer be applicable; at this time, it is necessary to use the current water quality demand evaluation value (that is, the expected water quality standard) and the current basic feature data set (including the actual measurement values of various water quality indicators) to optimize the parameters of the evaluation function; after optimization, a new evaluation function will be obtained, which can more accurately reflect the water purification effect and provide a more reliable judgment basis for subsequent purification treatment.
[0130] Exemplarily, the preset third threshold is 50, and in the electro-catalyzed nanofiltration water purification process, the calculated first purification result value is 55; since the first purification result value 55 is greater than the third threshold value 50, it is judged that the current evaluation function may not be able to accurately reflect the water purification effect; therefore, the current water quality demand evaluation value (such as the expected TDS value, pH value range, heavy metal content, etc.) and the current basic feature data set (such as the actually measured TDS value, pH value, heavy metal content, etc.) are used to optimize the parameters of the evaluation function; 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 adjust the weights and calculation methods of these indicators; using the new evaluation function to recalculate the purification result value can more accurately judge whether the water quality meets the expected standards and provide guidance for subsequent purification treatment; in this way, direct drinking water electro-purification 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, Figure 7 As shown, the present invention also provides a direct drinking water electro-purification treatment system, the system comprising:
[0132] A data collection module, used for periodically collecting water quality data and water demand data of the water to be treated;
[0133] A water quality assessment module, used to calculate a water quality demand evaluation value based on the water quality data and the water demand data;
[0134] A water purification module, used for selecting an electro-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 according to the water quality demand evaluation value;
[0135] The monitoring feedback module is used to monitor the water quality after purification and optimize the parameters of the evaluation function according to the monitoring results.
[0136] It should be noted that the electrical connection between the above-mentioned units does not necessarily mean the connection between the lines. The indirect connection method can be applied to the embodiments of the present invention as long as the purpose of the present invention is achieved. The above is only an exemplary embodiment of the present invention and cannot be used to limit the scope of the present invention.
[0137] That is, any equivalent changes and modifications made according to the teachings of the present invention are still within the scope of the present invention. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present invention. This application is intended to cover any variation, use or adaptive change of the present invention, which follows the general principles of the present invention and includes common knowledge or customary technical means in the art that are not described in the present invention.
Claims
1. A method for direct drinking water electro-purification treatment, characterized in that: The method comprises: Periodically collect water quality data and water demand data for water to be treated; Calculating a water quality demand evaluation value based on the water quality data and the water demand data; According to the water quality demand evaluation value, an electro-nanofiltration water purification mode, an electro-coagulation reverse osmosis water purification mode or an electrodialysis adsorption water purification mode is selected to purify the water to be treated.
2. A direct drinking water electro-purification method according to claim 1, characterized in that: The calculating of the water quality demand evaluation value according to the water quality data and the water demand data comprises: Extracting features from the water quality data and the water demand data to obtain a basic feature data set; Establishing an evaluation function for characterizing the relationship between the basic characteristic data and the water quality demand evaluation value; Substitute the basic characteristic data set into the evaluation function to calculate the water quality demand evaluation value.
3. A method for direct drinking water electro-purification according to claim 2, characterized in that: The feature extraction of the water quality data and the water demand data to obtain a basic feature data set includes: Preprocessing the water quality data and the water demand data to obtain a preliminary data set; Performing feature extraction on the preliminary data set to obtain a standard data set; The standard data set is normalized to obtain a basic feature data set.
4. A method for direct drinking water electro-purification according to claim 2, characterized in that: The evaluation function established to characterize the relationship between the basic characteristic data and the water quality demand evaluation value includes: Collect historical water quality assessment data and historical basic characteristic data sets to construct historical data sets; Establishing a linear regression model for characterizing the water quality demand evaluation value based on the historical basic characteristic data set; The parameters of the linear regression model are optimized using the historical data set to obtain an evaluation function. For the water quality demand evaluation value P, P=α1T1+α2T2+…+α n T n +b, In the formula, α n is the regression coefficient corresponding to the nth basic feature data in the basic feature data set, T n is the nth basic feature data in the basic feature data set, and β is the error term.
5. A method for direct drinking water electro-purification according to claim 1, characterized in that: The step of selecting the electro-nanofiltration water purification mode, the electro-coagulation reverse osmosis water purification mode or the electrodialysis adsorption water purification mode according to the water quality demand evaluation value to purify the treated water comprises: Determining whether the water quality demand evaluation value is less than a preset first threshold; If yes, then select the electro-nanofiltration water purification mode to purify the water to be treated; If not, determining whether the water quality demand evaluation value is less than a preset second threshold; If yes, the electrocoagulation reverse osmosis water purification mode is selected to purify the water to be treated; If not, the electrodialysis adsorption water purification mode is selected to purify the water to be treated.
6. A method for direct drinking water electro-purification according to claim 5, characterized in that: The selecting of the electrocatalytic nanofiltration water purification mode to purify the water to be treated includes: Pre-treat the water to be treated; Performing electrocatalytic oxidation treatment 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 using the evaluation function to calculate a first purification result value; 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 not, the purification process ends and the first purified water sample is output.
7. A method for direct drinking water electro-purification according to claim 6, characterized in that: The selecting of the electrocoagulation reverse osmosis water purification mode to purify the water to be treated comprises: Pre-treat the water to be treated; Performing electrocoagulation treatment 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 using the evaluation function to calculate a second purification result value; Determining whether the second purification result value is greater than the third threshold; If yes, then selecting the electro-nanofiltration water purification mode to purify the second purified water sample; If not, the purification process ends and the second purified water sample is output.
8. A method for direct drinking water electro-purification according to claim 7, characterized in that: The selecting of the electrodialysis adsorption water purification mode to purify the treated water comprises: Pre-treat the water to be treated; Performing electrodialysis on the pretreated water to obtain a third water sample; Adsorbing impurities in the second water sample using activated carbon 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 not, the purification process ends and the third purified water sample is output.
9. A method for direct drinking water electro-purification according to claim 8, characterized in that: The method further comprises: 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, the parameters of the evaluation function are optimized using the current water quality demand evaluation value and the current basic characteristic data set to obtain a new evaluation function.
10. A direct drinking water electro-purification system, characterized in that: The system comprises: A data collection module, used for periodically collecting water quality data and water demand data of the water to be treated; A water quality assessment module, used to calculate a water quality demand evaluation value based on the water quality data and the water demand data; A water purification module, used for selecting an electro-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 according to the water quality demand evaluation value; The monitoring feedback module is used to monitor the water quality after purification and optimize the parameters of the evaluation function according to the monitoring results.
Citation Information
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