A water quality collaborative treatment method and system for 2-MIB in water plants

Abstract

This invention relates to the field of water treatment and discloses a method and system for the co-treatment of 2-MIB in water plants. The method includes: pre-treating raw water by adding potassium permanganate through a potassium permanganate dosing device; introducing the pre-treated raw water into a mixing tank, adding a coagulant, and stirring it with a No. 1 electric mixer; introducing the raw water in the mixing tank into a flocculation tank and stirring it with a No. 2 electric mixer to form flocs; introducing the raw water in the flocculation tank into a sedimentation tank to separate the flocs and water, allowing the flocs to settle to the bottom of the tank, and discharging the bottom sludge to a sludge treatment system using a sludge scraper; introducing the raw water in the sedimentation tank into an aeration tank for aeration, and then into a sand filter for filtration, inoculating the sand filter with a 2-MIB degrading bacteria agent to form a biologically active filter layer; introducing the raw water in the sedimentation tank into a clear water tank, and adding disinfectant at the outlet of the clear water tank and the end of the connected pipeline network to achieve efficient removal of 2-MIB.

Description

Technical Field

[0001] This invention relates to the field of water treatment, and specifically to a method and system for co-treatment of water quality in a water plant 2-MIB. Background Technology

[0002] In the field of drinking water treatment, 2-MIB is a typical odor-causing substance. Its presence can cause water to have an earthy taste, seriously affecting the sensory quality of drinking water and reducing users' acceptance of the water quality. Currently, water plants mostly use single or segmented processes to treat 2-MIB, with a lack of effective coordination between the various stages, making it difficult to achieve efficient and stable removal of 2-MIB.

[0003] In existing technologies, methods such as physical adsorption, chemical oxidation, and biodegradation often operate independently. For example, coagulation and sedimentation can only remove some 2-MIB bound to particulate matter. Subsequent filtration or disinfection processes cannot effectively coordinate with the front-end treatment, making it difficult to completely remove free 2-MIB. Furthermore, the operating parameters of biological treatment units such as aeration and biofilters are mostly fixed and cannot be dynamically adjusted according to real-time water quality changes. When the concentration of 2-MIB in the raw water fluctuates or water quality conditions change, incomplete or over-treatment can easily occur, affecting treatment efficiency and wasting energy and chemicals, failing to meet the dual requirements of water plants for water quality safety and treatment economy. Summary of the Invention

[0004] The purpose of this invention is to provide a water quality co-treatment method and system for water plant 2-MIB, thereby solving the above-mentioned technical problems.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A method for co-treatment of water quality in a 2-MIB water plant includes the following steps:

[0007] S1. Pretreatment is carried out by adding potassium permanganate to the raw water through a potassium permanganate dosing device;

[0008] S2. The pretreated raw water is introduced into the mixing tank, coagulant is added and it is stirred by electric mixer No. 1.

[0009] S3. The raw water in the mixing tank is introduced into the flocculation tank and stirred by the No. 2 electric mixer to form flocs;

[0010] S4. The raw water in the flocculation tank is introduced into the sedimentation tank to separate the flocs and water, allowing the flocs to settle to the bottom of the tank, and the bottom sludge is discharged to the sludge treatment system by a sludge scraper.

[0011] S5. The raw water from the sedimentation tank is introduced into the aeration tank for aeration, and then introduced into the sand filter for filtration. The sand filter is inoculated with 2-MIB degradation bacteria to form a biologically active filter layer.

[0012] S6. Pour the raw water in the sedimentation tank into the clear water tank, and add disinfectant at the outlet of the clear water tank and the end of the connected pipeline.

[0013] As a further technical solution, suspended biological packing is added to the aeration tank, and 2-MIB degrading bacteria are loaded on the surface of the packing to form a flowing biofilm; in step S5, aeration is achieved by a movable aeration device, and the aeration point position of the movable aeration device is determined by a position adjustment strategy.

[0014] As a further technical solution, the position adjustment strategy specifically includes:

[0015] Multiple sets of water quality sensors are distributed in the aeration tank to collect water quality parameters; after preprocessing each water quality parameter, dimensionless water quality parameters are obtained.

[0016] The aeration tank is divided into multiple water quality zones based on the location of each set of water quality sensors.

[0017] After trend prediction and real-time water quality parameters are combined to analyze the aeration demand index of each water quality zone, the aeration location is determined by sorting the aeration demand index from high to low.

[0018] As a further technical solution, the aeration demand index is calculated as follows:

[0019] Starting from the current moment, we trace back a preset time period to obtain the changes of each water quality parameter over time within that preset time period. We then calculate the cumulative change of each water quality parameter by integration to obtain the cumulative change.

[0020] The cumulative change is compared with the reference cumulative change range. If it exceeds the reference cumulative change range, it is initially determined that there is a downward trend in water quality treatment. If it is below the reference cumulative change range, it is initially determined that there is an upward trend in water quality treatment. If it is within the reference cumulative change range, it is initially determined that there is an upward trend in water quality treatment. After further judgment on the initial determination that there is a downward trend in water quality treatment, the water quality treatment trend is confirmed.

[0021] The trend coefficient G is assigned a value based on the confirmed water quality treatment trend;

[0022] Through the formula: The aeration demand index was calculated. ; For the reason about the Correlation functions of water quality parameters For the The weighting coefficients for each water quality parameter are selected based on the importance of each parameter in the normal water treatment process of the industry, and the values ​​range from 0 to 1. This represents the total number of water quality parameters.

[0023] As a further technical solution, the water quality parameters include 2-MIB concentration, dissolved oxygen, and water temperature; if at least one of the water quality treatment trends is downward, then Assign a value of 1; otherwise, The value is assigned to 2.

[0024] As a further technical solution The expression is:

[0025] When the 2-MIB concentration, dissolved oxygen, and water temperature fall within their respective ideal ranges, then ;

[0026] otherwise, ;

[0027] , They are respectively The upper and lower limits of the first water quality parameter.

[0028] As a further technical solution, after further assessment, the specific method for confirming the water quality treatment trend is as follows:

[0029] Calculation formula: Get the first Changes in individual water quality parameters ;like ≥ Historical change mean If the trend is downward, the water quality treatment trend is confirmed; otherwise, the water quality treatment trend is confirmed to be normal.

[0030] in, The number of samples within one period. for The observations obtained by sampling at each time point, for The observations obtained by sampling at each time step.

[0031] As a further technical solution, the aeration demand index of each water quality zone is analyzed, and the specific method for determining the aeration location after sorting the aeration demand index from high to low is as follows:

[0032] Obtain the location coordinates of the current movable aeration device and the location coordinates of the top three corresponding water quality zones;

[0033] The distance between the current movable aeration device and each water quality zone is obtained, and the water quality zone with the smallest distance value is selected as the next aeration location.

[0034] A water quality co-treatment system for a water plant 2-MIB, the system being used to perform the water quality co-treatment method for a water plant 2-MIB.

[0035] The beneficial effects of this invention are:

[0036] (1) The synergistic design of the suspended biological packing material and the mobile aeration device in the aeration tank of the present invention forms a dynamic linkage mechanism of biodegradation-aeration enhancement, bringing multiple benefits; the 2-MIB degradation agent loaded on the suspended biological packing material forms a flowing biofilm, which expands the contact range between microorganisms and pollutants, while the mobile aeration device dynamically adjusts its position according to the aeration demand index fed back by the water quality sensor, ensuring that the high demand area obtains sufficient oxygen and promotes the metabolic activity of the microbial community; the linkage not only improves the degradation efficiency of 2-MIB in the aeration tank, but also reduces the risk of packing blockage through the self-renewal of the flowing biofilm, thus reducing maintenance costs; at the same time, the mobile aeration avoids the energy waste of fixed aeration, and combined with water quality zoning control, it achieves energy consumption optimization on the premise of ensuring treatment effect, truly achieving multiple benefits of efficient degradation, energy saving and consumption reduction and stable system operation.

[0037] (2) In this invention, the parameters collected in real time by the water quality sensor are processed in a dimensionless manner, and the treatment demand of each area is quantified by the calculation of the aeration demand index. This guides the mobile aeration device to operate accurately and can quickly respond to fluctuations in the raw water quality, avoiding the problem of incomplete local treatment. At the same time, it works in synergy with the front-end coagulation sedimentation and the back-end biological filtration. When the front-end treatment load changes, the aeration tank can make up for the treatment difference by adjusting the aeration intensity and position. The biological active filter layer of the sand filter serves as the last barrier to further ensure the stability of the effluent water quality. Attached Figure Description

[0038] The invention will now be further described with reference to the accompanying drawings.

[0039] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0040] 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, and 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.

[0041] Please see Figure 1As shown, this invention is a water quality co-treatment method for a 2-MIB water plant, comprising the following steps:

[0042] S1. Pretreatment is performed by adding potassium permanganate to the raw water using a potassium permanganate dosing device. The dosage of potassium permanganate is adjusted according to the initial concentration of 2-MIB in the raw water, ranging from 0.5 to 2.0 mg / L. When the 2-MIB concentration is ≤10 ng / L, add 0.5 to 1.0 mg / L; when the concentration is >10 ng / L, add 1.0 to 2.0 mg / L. The pretreatment time is 15 to 30 minutes.

[0043] S2. The pretreated raw water is introduced into the mixing tank, coagulant is added and stirred by electric mixer No. 1; the coagulant is polyaluminum chloride (PAC), and the dosage is 10-30 mg / L; the speed of electric mixer No. 1 is 200-300 r / min, and the stirring time is 1-3 minutes to ensure that the coagulant and the water are mixed quickly.

[0044] S3. The raw water in the mixing tank is introduced into the flocculation tank and stirred by the No. 2 electric mixer to form flocs; the No. 2 electric mixer rotates at 50-100 r / min and the stirring time is 15-30 minutes to form flocs with a particle size of 0.5-2 mm.

[0045] S4. The raw water in the flocculation tank is introduced into the sedimentation tank to separate the flocs and water, allowing the flocs to settle to the bottom of the tank, and the bottom sludge is discharged to the sludge treatment system by a sludge scraper; the retention time is 2-4 hours, and the sludge scraper runs every 4-6 hours.

[0046] S5. The raw water from the sedimentation tank is introduced into the aeration tank for aeration, and then into the sand filter for filtration. The sand filter is inoculated with 2-MIB degrading bacteria to form a biologically active filter layer. The aeration time is 1-2 hours, and the dissolved oxygen is controlled at 2-4 mg / L. The filter media of the sand filter is quartz sand with a particle size of 0.8-1.2 mm and a filter layer thickness of 1.2-1.5 m. The inoculation amount of 2-MIB degrading bacteria, such as Pseudomonas strains, is 10. 6 -10 8 CFU / g filter media, the formation cycle of the biologically active filter layer is 7-10 days;

[0047] S6. Transfer the raw water from the sedimentation tank to the clear water tank, and add disinfectant at the outlet of the clear water tank and at the end of the connected pipe network. Sodium hypochlorite is used as the disinfectant. The dosage at the outlet of the clear water tank is 0.5-1.0 mg / L, and the dosage at the end of the pipe network is 0.1-0.3 mg / L, ensuring that the residual chlorine at the end of the pipe network is ≥0.05 mg / L.

[0048] In this embodiment, efficient removal of 2-MIB is achieved through multi-step synergistic action. Pretreatment with potassium permanganate initially disrupts the structure of 2-MIB, laying the foundation for subsequent treatment. Adding coagulants and stirring in the mixing and flocculation tanks promotes the formation of flocs from impurities in the water, reducing the carriers for 2-MIB attachment. Separating the flocs in the sedimentation tank reduces the load on subsequent treatment. Aeration in the aeration tank increases dissolved oxygen levels, creating a suitable environment for microbial activity. The 2-MIB-degrading bacteria inoculated in the sand filter form a bioactive filter layer, deeply degrading 2-MIB through biological action. Finally, disinfectant is added at the outlet of the clear water tank and at the end of the pipeline network to inhibit the secondary formation of 2-MIB, ensuring water quality safety from the water plant to the user. The entire process is interconnected, combining physical, chemical, and biological treatment methods, ensuring efficient 2-MIB removal while adapting to varying water quality fluctuations, significantly improving the safety and stability of drinking water.

[0049] Suspended biological packing material is added to the aeration tank. The suspended biological packing material is made of polyethylene, with a porous spherical shape, a diameter of 20-30 mm, and a specific surface area of ​​300-500 m² / m³. The addition amount is 30%-50% of the effective volume of the aeration tank. The loading amount of 2-MIB degrading bacteria (such as Sphingosine monocytogenes) is 5×10⁻⁶. 7 -1×10 8 The CFU / g packing material has a flow biofilm thickness controlled at 50-100μm; the packing surface is loaded with 2-MIB degrading bacteria to form a flow biofilm; in step S5, aeration is achieved using a movable aeration device, the aeration point of which is determined by a position adjustment strategy; the movable aeration device is a submersible aerator that can move along the bottom guide rail of the aeration tank at a speed of 0.5-1m / min, with a bubble diameter of 2-5mm.

[0050] In this embodiment, by adding suspended biological packing material loaded with 2-MIB degrading bacteria to the aeration tank, the resulting flowing biofilm significantly increases the contact area between microorganisms and the water, enhancing the biodegradation of 2-MIB. The flowing characteristics also prevent localized aging of the biofilm, maintaining its degradation activity. Simultaneously, the use of a movable aeration device and a position adjustment strategy to determine aeration points overcomes the limitations of traditional fixed aeration. The aeration position can be dynamically adjusted according to the water quality conditions in different areas of the aeration tank, making aeration more targeted. This ensures sufficient oxygen in high-demand areas to promote microbial activity while avoiding unnecessary energy waste. The combination of flowing biofilm and movable aeration further improves the degradation efficiency of 2-MIB in the aeration tank while optimizing aeration energy consumption, making the entire treatment process more efficient and economical.

[0051] The specific location adjustment strategies include:

[0052] Multiple sets of water quality sensors are distributed in the aeration tank to collect water quality parameters. Each water quality parameter is preprocessed using min-max normalization to map the parameter value to the [0,1] interval, resulting in dimensionless water quality parameters. Each set of sensors includes a 2-MIB online detector, a dissolved oxygen meter, and a water temperature sensor, with a total of 6-12 sets. At least one set is used for every 100m² of aeration tank area, and the sampling frequency is 5-10 minutes / time.

[0053] The aeration tank is divided into multiple water quality zones based on the location of each set of water quality sensors. A circular area with a radius of 5-10m or a 5×5m² square area is then defined centered on each set of sensors, with adjacent areas overlapping by 10%-20%.

[0054] After trend prediction and real-time water quality parameters are combined to analyze the aeration demand index of each water quality zone, the aeration location is determined by sorting the aeration demand index from high to low.

[0055] In this embodiment, the location adjustment strategy achieves real-time and comprehensive monitoring of water quality parameters by distributing multiple sets of water quality sensors within the aeration tank. The dimensionless water quality parameters obtained after preprocessing eliminate the dimensional differences between different parameters, facilitating unified analysis. Dividing the aeration tank into multiple water quality zones makes water quality monitoring and treatment more targeted, avoiding the blindness of overall treatment. By predicting water quality trends and analyzing real-time parameters for each water quality zone, an aeration demand index is obtained, and aeration locations are determined accordingly. This accurately identifies areas requiring enhanced aeration, ensuring that resources are concentrated on areas with poor water quality. Through zoned management and dynamic adjustment, the accuracy of aeration treatment is significantly improved, ensuring the uniformity of water quality in all areas of the aeration tank, avoiding the problem of incomplete 2-MIB degradation in certain areas, and further optimizing the treatment effect.

[0056] The aeration demand index is calculated as follows:

[0057] The system traces back from the current moment to a preset time period to obtain the changes of each water quality parameter over time within that preset time period. The cumulative change of each water quality parameter is calculated by integration to obtain the cumulative change. The preset time period is 1-2 hours, and is adjusted according to the frequency of water quality fluctuations. When the fluctuations are large, 1 hour is used, and when the fluctuations are small, 2 hours is used.

[0058] The cumulative change is compared with the reference cumulative change range. If it exceeds the reference cumulative change range, it is initially determined that there is a downward trend in water quality treatment. If it is below the reference cumulative change range, it is initially determined that there is an upward trend in water quality treatment. If it is within the reference cumulative change range, it is initially determined that there is an upward trend in water quality treatment. After further judgment on the initial determination that there is a downward trend in water quality treatment, the water quality treatment trend is confirmed.

[0059] The trend coefficient G is assigned a value based on the confirmed water quality treatment trend;

[0060] Through the formula: The aeration demand index was calculated. ; For the reason about the Correlation functions of water quality parameters For the The weighting coefficients for each water quality parameter are selected based on the importance of each parameter in the normal water treatment process of the industry, and the values ​​range from 0 to 1. This represents the total number of water quality parameters. The formula achieves accurate assessment through the fusion of multi-dimensional parameters, including trend coefficients. This reflects the impact of water quality treatment trends; when the trend is downward... =1, amplifying the demand index; when the trend is normal. =2, reducing the weight to ensure priority attention is given to areas with deteriorating water quality; weighting coefficient The weighting of water quality parameters is determined by their importance; for example, 2-MIB concentration is given a higher weight, so that the assessment is aligned with the core treatment objectives. Quantify the degree to which a single parameter deviates from the ideal state. The total number of parameters is used to balance the influence of multiple parameters through averaging. The above settings integrate scattered water quality information into a unified demand index, transforming the selection of aeration location from fuzzy judgment to data-driven, thereby improving the targeting and efficiency of aeration.

[0061] In this embodiment, the aeration demand index is calculated by retrospectively analyzing changes in water quality parameters over a preset time period and combining this with integral calculation of cumulative changes. This comprehensively reflects historical fluctuations in water quality and avoids the limitations of data from a single point in time. The cumulative changes are compared with a reference range to confirm the water quality treatment trend, and then the formula is used to... Calculate the aeration demand index This makes the quantification of aeration demand more scientific and reasonable; trend coefficient The introduction of this method allows for adjustment of index weights based on water quality trends, ensuring greater attention is paid to areas with declining water quality. The weighting coefficients reflect the importance of different water quality parameters, making index calculations more aligned with actual treatment needs. This quantitative calculation method replaces traditional experience-based judgments, making the assessment of aeration needs more objective and accurate, providing a reliable basis for adjusting aeration locations, and ensuring the effectiveness and economy of aeration treatment.

[0062] The water quality parameters include 2-MIB concentration, dissolved oxygen, and water temperature; if at least one of the water quality treatment trends is downward, then Assign a value of 1; otherwise, The ideal range for 2-MIB concentration is 1-3 ng / L, for dissolved oxygen is 2-4 mg / L, and for water temperature is 15-25℃.

[0063] In this embodiment, the water quality parameters are clearly defined as 2-MIB concentration, dissolved oxygen, and water temperature. Focusing on the key factors affecting 2-MIB degradation makes monitoring and analysis more targeted and avoids interference from irrelevant parameters. 2-MIB concentration directly reflects the removal effect of the treatment target, dissolved oxygen affects microbial activity, and water temperature is related to the microbial metabolic rate. The combination of these three factors allows for a comprehensive assessment of water quality. The assignment rule for the trend coefficient G is that G is set to 1 if at least one water quality treatment trend is downward, otherwise it is set to 2. This simplifies the logic of the trend's influence on the aeration demand index, highlighting the treatment priority of areas with declining water quality while ensuring the simplicity of the calculation. It can quickly respond to changes in key parameters, ensuring precise matching between aeration adjustment and water quality requirements, and improving the control over the 2-MIB degradation process.

[0064] The expression is:

[0065] When the 2-MIB concentration, dissolved oxygen, and water temperature fall within their respective ideal ranges, then ;

[0066] otherwise, ;

[0067] , They are respectively The upper and lower limits of the first water quality parameter.

[0068] The expression is used to quantify the degree to which a single water quality parameter (i.e., 2-MIB concentration, dissolved oxygen, and water temperature) deviates from the ideal state, converting qualitative parameters into calculable values, and providing basic data for calculating the aeration demand index; the setting logic reflects stratified assessment: when the parameters are within the ideal range, The deviation from the midpoint of the range is calculated to reflect the stability of the parameter; the smaller the deviation, the more stable the parameter. When the parameter exceeds the ideal range, the deviation from the upper and lower limits is compared. The severity of the deviation is determined by the difference; the larger the difference, the more significant the deviation. The above settings make the degree of deviation under different parameters and conditions comparable, avoid the ambiguity of subjective description, ensure that multiple parameters can be reasonably integrated in the aeration demand index, and improve the scientific nature of the assessment.

[0069] In this embodiment, The expression calculates the values ​​of 2-MIB concentration, dissolved oxygen, and water temperature separately based on whether they fall within the ideal range, accurately quantifying the degree to which each parameter deviates from the ideal state. When a parameter is within the ideal range, the stability of the parameter is reflected by calculating the deviation from the midpoint of the range. When a parameter exceeds the ideal range, the degree of deviation is determined by comparing the deviation from the upper and lower limits, intuitively reflecting the abnormal state of water quality. The above quantification method makes the contribution of each parameter to aeration demand clearer, providing reliable basic data for the calculation of the aeration demand index. Through clear mathematical expressions, subjective judgments on the degree of water quality deviation are avoided, ensuring the comparability of water quality conditions between different parameters and different areas, making the assessment of aeration demand more objective and consistent, and further improving the scientificity and accuracy of the entire treatment system.

[0070] After further assessment, the specific method for confirming the water quality treatment trend is as follows:

[0071] Calculation formula: Get the first Changes in individual water quality parameters ;like ≥ Historical change mean If the trend is positive, the water quality treatment trend is confirmed to be downward; otherwise, the water quality treatment trend is determined to be normal; historical average change. The method for obtaining the value is as follows: calculate the J value of the same period over the past 30 days and take the arithmetic mean; if the new system has no historical data, the initial value is set to 0.15.

[0072] The setting logic is based on dynamic change analysis to objectively judge the changing trend of water quality parameters: the formula reflects the drastic degree of parameter change by calculating the average of the absolute differences of multiple sampling values ​​within a period, where m is the number of samplings. for Time-based observations will Compared with the historical mean change In comparison, if A larger value confirms a downward trend; otherwise, it's considered normal. This setting considers continuous fluctuations in parameters rather than data from a single point in time, and uses historical averages as a benchmark to ensure the objectivity and stability of trend judgment, thus contributing to the aeration demand index. The assignment provides a reliable basis.

[0073] in, The number of samples within one period. for The observations obtained by sampling at each time point, for The observations obtained by sampling at each time step.

[0074] In this embodiment, by calculating the first... Changes in individual water quality parameters The value was compared with the historical average change to confirm the water quality treatment trend, thus achieving an objective judgment on water quality changes; The value is calculated by comparing the observations over multiple sampling periods, reflecting the severity of parameter changes and avoiding misjudgments caused by fluctuations at a single point in time. Comparison with historical averages provides a reasonable benchmark for trend judgment, ensuring the reliability of the results. Thus, it considers both the current dynamic changes in water quality and the experience gained from historical data, effectively distinguishing between normal fluctuations and abnormal trends, avoiding misjudgments of water quality trends. Accurate trend judgment provides a reliable basis for calculating the aeration demand index, ensuring timely and appropriate aeration adjustment measures and improving the system's stability in responding to water quality fluctuations.

[0075] The aeration demand index for each water quality zone was analyzed. The specific method for determining the aeration location after sorting the zones by aeration demand index from high to low is as follows:

[0076] Obtain the location coordinates of the current movable aeration device and the location coordinates of the top three corresponding water quality zones;

[0077] The distance between the current movable aeration device and each water quality zone is obtained, and the water quality zone with the smallest distance value is selected as the next aeration location.

[0078] Specifically, the origin (0,0) is the lower left corner of the aeration tank. The X-axis is along the length direction and the Y-axis is along the width direction, with the unit being meters. For example, coordinates (5,3) represent a distance of 5m from the origin and 3m from the Y-axis. Distance calculation: Euclidean distance formula is used. If the minimum distance is the same and the error is ≤0.5m, the water quality zone with a higher aeration demand index is preferred. Movement restrictions: movable aeration devices must not exceed the boundary of the aeration tank, which is set according to the tank size.

[0079] In this embodiment, the aeration demand index is sorted from high to low, and the next aeration location is selected based on the distance between the current location of the mobile aeration device and each water quality zone, thus achieving optimized allocation of aeration resources. Prioritizing high-demand areas ensures timely and intensive treatment of areas with poor water quality, preventing the accumulation of 2-MIB in localized areas. Selecting the nearest high-demand area reduces the movement distance of the aeration device, lowers energy consumption, and shortens the waiting time in high-demand areas, improving treatment efficiency. This strategy, which balances demand priority and spatial distance, ensures uniformity of treatment effects while optimizing operating costs, achieving a balance between high efficiency and economy in the aeration process, further enhancing the operational efficiency of the entire collaborative treatment system.

[0080] A water quality co-treatment system for a water plant 2-MIB, the system being used to perform the water quality co-treatment method for a water plant 2-MIB.

[0081] It should be noted that the calculation formulas and all parameters involved in the calculations in this invention have been dimensionless beforehand. The process of dimensionless processing is well known in the industry and will not be described here.

[0082] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A method for co-treatment of water quality in a 2-MIB water plant, characterized in that, Includes the following steps: S1. Pretreatment is carried out by adding potassium permanganate to the raw water through a potassium permanganate dosing device; S2. The pretreated raw water is introduced into the mixing tank, coagulant is added and it is stirred by electric mixer No.

1. S3. The raw water in the mixing tank is introduced into the flocculation tank and stirred by the No. 2 electric mixer to form flocs; S4. The raw water in the flocculation tank is introduced into the sedimentation tank to separate the flocs and water, allowing the flocs to settle to the bottom of the tank, and the bottom sludge is discharged to the sludge treatment system by a sludge scraper. S5. The raw water from the sedimentation tank is introduced into the aeration tank for aeration, and then introduced into the sand filter for filtration. The sand filter is inoculated with 2-MIB degradation bacteria to form a biologically active filter layer. S6. Pour the raw water in the sedimentation tank into the clear water tank, and add disinfectant at the outlet of the clear water tank and the end of the connected pipe network. In step S5, aeration is achieved using a movable aeration device, and the aeration point position of the movable aeration device is determined by a position adjustment strategy. The location adjustment strategy specifically includes: distributing multiple sets of water quality sensors in the aeration tank to collect water quality parameters; preprocessing each water quality parameter to obtain dimensionless water quality parameters; dividing the aeration tank into multiple water quality zones according to the location of each set of water quality sensors as nodes; analyzing the trend prediction of water quality in each water quality zone and combining it with real-time water quality parameters to obtain the aeration demand index of each water quality zone; and determining the aeration location by sorting the aeration demand index from high to low. The aeration demand index is calculated as follows: Starting from the current moment, a preset time period is traced backward to obtain the change of each water quality parameter over time within that preset time period. The cumulative change of each water quality parameter is calculated by integration to obtain the cumulative change amount. The cumulative change amount is compared with a reference cumulative change range. If it exceeds the reference cumulative change range, a preliminary judgment is made that there is a downward trend in water quality treatment; if it is below the reference cumulative change range, a preliminary judgment is made that there is an upward trend in water quality treatment; if it falls within the reference cumulative change range, a preliminary judgment is made that there is an upward trend in water quality treatment. Further judgment is made on the preliminary judgment of a downward trend in water quality treatment to confirm the water quality treatment trend. A trend coefficient G is assigned a value based on the confirmed water quality treatment trend. The formula is: The aeration demand index was calculated. ; For the reason about the Correlation functions of water quality parameters For the first The weighting coefficients for each water quality parameter are selected based on the importance of each parameter in the normal water treatment process of the industry, and the values ​​range from 0 to 1. This represents the total number of water quality parameters. The water quality parameters include 2-MIB concentration, dissolved oxygen, and water temperature; if at least one of the water quality treatment trends is downward, then Assign a value of 1; otherwise, The value is assigned to 2; The expression is: when the 2-MIB concentration, dissolved oxygen, and water temperature fall within their respective ideal ranges, then... ;otherwise, and Specifically, if ,but ;like ,but ; After further assessment, the specific method for confirming the water quality treatment trend is as follows: through calculation formula: Get the first Changes in individual water quality parameters ;like ≥ Historical change mean If the trend is positive, the water quality treatment trend is confirmed to be downward; otherwise, the water quality treatment trend is confirmed to be normal. The number of samples within one period. for The observations obtained by sampling at each time point, for Observations obtained from sampling at specific times; The aeration demand index of each water quality zone was analyzed. The specific method for determining the aeration location after sorting the aeration demand index from high to low is as follows: obtain the location coordinates of the current movable aeration device and the location coordinates of the top three corresponding water quality zones; obtain the distance value between the current movable aeration device and each water quality zone, and select the water quality zone with the smallest distance value as the next aeration location.

2. The water quality co-treatment method for water plant 2-MIB according to claim 1, characterized in that, Suspended biological packing material is added to the aeration tank, and 2-MIB degrading bacterial agent is loaded on the surface of the packing material to form a flowing biofilm.

3. A water quality co-treatment system for a 2-MIB water plant, characterized in that, The system is used to perform the water quality co-treatment method for water plant 2-MIB as described in claim 1 or 2.

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