Flocculation reaction precipitation management system for water treatment

Abstract

The invention discloses a flocculation reaction precipitation management system for water treatment, relates to the technical field of coagulation control, and solves the technical problems that treatment cannot be performed based on raw water information, effective analysis and decision are not performed by comprehensive influence, and a treatment strategy cannot be adjusted in time. By comprehensively acquiring the raw water information and the coagulant information, the concentration of the treated water can be analyzed and identified more accurately. On the basis of floc image processing and parameter extraction, the water quality is ensured to reach the standard, the influence of different raw water temperatures and raw water pH values on the flocculation reaction is considered, and corresponding relations and parameters are determined through experiments and calculation, so that the system can adapt to water treatment requirements under different water quality conditions, and has relatively high adaptability; the relation between the reaction rate and the raw water input speed and the flocculant concentration is analyzed, the range value of the secondary putting amount is determined, and the stability and reliability of the system under different working conditions are further improved.

Description

Technical Field

[0001] This invention relates to the field of coagulation control technology, specifically to a flocculation reaction sedimentation management system for water treatment. Background Technology

[0002] In the field of water treatment, flocculation reaction sedimentation management is a key link to ensure that water quality meets standards. With the continuous advancement of technology, people have higher and higher requirements for water treatment, and need more efficient, accurate and intelligent flocculation reaction sedimentation management systems to meet actual needs.

[0003] A smart dosing flocculation and sedimentation system, disclosed in publication number CN114275866A, relates to the field of water treatment technology. This smart dosing flocculation and sedimentation system includes a smart dosing control cabinet, a reagent tank, a reaction sedimentation tank, and a clear water tank. A metering pump and a flow meter are installed on the pipeline between the reagent tank and the reaction sedimentation tank. The output of the smart dosing control cabinet is connected to the input of the metering pump. Two wastewater suspended solids detectors are installed in the reaction sedimentation tank and the clear water tank. A water temperature sensor is installed in the reaction sedimentation tank, and the output of the water temperature sensor is connected to the input of the smart dosing control cabinet.

[0004] However, traditional water treatment methods often have some problems in the flocculation and sedimentation process. For example, the information on raw water is not comprehensive enough, making it difficult to accurately analyze the concentration and quality of the treated water; there is a lack of scientific calculation methods for the dosage of coagulants, which can easily lead to overdosing or underdosing, affecting the treatment effect and cost; and when faced with situations requiring secondary treatment, there is a lack of effective analysis and decision-making mechanisms, making it impossible to adjust the treatment strategy in a timely manner. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a flocculation reaction sedimentation management system for water treatment, which solves the problems of not being able to process water based on raw water information, lacking comprehensive impact analysis for effective decision-making, and being unable to adjust treatment strategies in a timely manner.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a flocculation reaction sedimentation management system for water treatment, comprising: The raw water information acquisition unit is used to acquire the raw water information to be treated, and transmit the acquired raw water information to the comprehensive sedimentation analysis unit. The specific raw water information includes raw water temperature, raw water pH value and raw water concentration. The coagulant information acquisition unit is used to transmit the acquired coagulant information to the comprehensive sedimentation analysis unit, where the coagulant information includes the type and amount of coagulant added. The integrated sedimentation analysis unit is used to analyze and identify the concentration of treated water after raw water treatment based on the raw water information and coagulant information transmitted by the raw water information acquisition unit and the coagulant information acquisition unit, and generate identification results, including qualified signals and secondary treatment signals. The generated qualified signals are then transmitted to the sedimentation information output unit, and the secondary treatment signals are transmitted to the reflux sedimentation analysis unit. The reflux sedimentation analysis unit is used to analyze the acquired secondary treatment signals. By analyzing the influencing factors in the water treatment process, it calculates the influencing factors corresponding to different influencing factors. At the same time, it calculates the secondary dosage based on the influencing factors and generates secondary dosage information. Then, it transmits the secondary dosage information to the sedimentation information output unit. The sedimentation information output unit displays the generated qualified signals and secondary delivery information to the corresponding management personnel.

[0007] As a further aspect of the present invention, the specific method by which the comprehensive precipitation analysis unit generates the identification results is as follows: Images of flocs in the treated water are acquired and processed. Based on the processed images, floc edge information is extracted, and parameters such as the number of flocs, floc particle size, floc perimeter, and area are analyzed. The number of flocs is denoted as n, where n = 1, 2, ..., m, and m represents the number of flocs. The floc particle size is denoted as Dn, the floc perimeter as Cn, and the floc area as Sn. The acquired parameters are then substituted into the formula... The treatment index Q of the treated water was calculated, where This is a preset proportional coefficient; The treatment index Q of the treated water is compared with the preset value Qy. When the treatment index Q of the treated water is greater than the preset value Qy, a secondary treatment signal is generated; otherwise, when the treatment index Q of the treated water is less than the preset value Qy, a qualified signal is generated.

[0008] As a further aspect of the present invention: the specific method by which the reflux precipitation analysis unit analyzes the secondary processing signal is as follows: The processing index corresponding to the secondary processing signal is obtained, and the difference between the processing index and the preset value is calculated. Then, the secondary dosage analysis is performed based on the calculated difference in the processing index to obtain the influencing factors of coagulant and raw water treatment process. The specific influencing factors include raw water temperature and raw water pH value. The impact of each influencing factor is calculated.

[0009] As a further aspect of the present invention, the specific method for calculating the influence of the reflux sedimentation analysis unit on the raw water temperature is as follows: Obtain the current raw water temperature and generate the Arrhenius equation, the specific expression of which is: Where k is the reaction rate constant, A is the prefactor, Ea is the activation energy, R is the ideal gas constant, and T is the absolute temperature. Also, according to the formula... Calculate the reaction rate K2 at temperature T2, where k1 is the reaction rate at a known temperature T1. Then, establish an empirical formula between temperature and flocculation reaction rate using experimental data.

[0010] As a further aspect of the present invention: the specific method by which the reflux sedimentation analysis unit calculates the pH value of the raw water is as follows: The raw water was adjusted to different pH ranges using acid-base regulators. The same dose of flocculant was added to each raw water sample with different pH values, and flocculation experiments were conducted under the same experimental conditions. Key time points and parameters during the experiment were recorded. The reaction rate corresponding to different raw water pH values ​​is obtained. Based on the experimental data, the flocculation reaction rate at each pH value can be calculated. Furthermore, the relationship is determined by using a linear regression model based on the obtained reaction rate, which is Y=a1X+b1, where Y is the reaction rate, X is the pH value, and a1 and b1 are parameters to be determined. Next, the relationships obtained from the analysis are integrated to obtain the comprehensive reaction rate formula. Where F is the overall reaction rate, The pre-set proportional coefficient is used to further calculate the secondary dosage based on the obtained comprehensive reaction rate F.

[0011] As a further aspect of the present invention, the specific method by which the reflux sedimentation analysis unit calculates the secondary dosage is as follows: The difference in the treatment index is denoted as Qc, and the original amount of coagulant added is denoted as G. Then, according to the formula... The treatment concentration value V corresponding to a unit of coagulant is calculated, and s is a preset proportionality coefficient. Then, the obtained parameters are substituted into the formula. The secondary delivery quantity G1 is calculated, where and The preset proportional coefficient is defined, and the h interval is defined, and the h interval is calculated.

[0012] As a further aspect of the present invention: the specific method by which the reflux sedimentation analysis unit calculates the h interval value is as follows: By performing regression analysis on the experimental data, the relationship between the reaction rate and the raw water input rate and the flocculant concentration can be obtained as follows: Where J is the coagulant concentration, d is the weighting coefficient, and the value of d is [0.1-0.14]. Further, the specific value of the interval value h is calculated based on the minimum and maximum values ​​of d, and the range value of the secondary dosage G1 is calculated based on the interval value h. At the same time, the secondary dosage information is generated, and then the secondary dosage information is transmitted to the sedimentation information output unit.

[0013] This invention provides a flocculation reaction sedimentation management system for water treatment. Compared with the prior art, it has the following advantages: This invention, by comprehensively acquiring raw water and coagulant information, enables more accurate analysis and identification of treated water concentration. Based on floc image processing and parameter extraction, it can accurately determine whether the treated water is up to standard, ensuring water quality compliance. It considers the influence of different raw water temperatures and pH values ​​on the flocculation reaction, and determines the corresponding relationships and parameters through experiments and calculations. This allows the system to adapt to water treatment needs under different water quality conditions, exhibiting strong adaptability. The relationship between reaction rate, raw water input rate, and flocculant concentration is analyzed to determine the range of secondary dosage, further improving the system's stability and reliability under different operating conditions. Attached Figure Description

[0014] Figure 1 This is a block diagram illustrating the system principle of the present invention; Figure 2 This is a flocculation solid state diagram of the present invention. Detailed Implementation

[0015] 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.

[0016] Example 1, please refer to Figure 1 and Figure 2 This application provides a flocculation reaction sedimentation management system for water treatment, including: a raw water information acquisition unit, a coagulant information acquisition unit, a comprehensive sedimentation analysis unit, a reflux sedimentation analysis unit, and a sedimentation information output unit, and in conjunction with the appendix... Figure 1 It can be seen that all the above functional units are connected by unidirectional wires.

[0017] The raw water information acquisition unit is used to acquire information about the raw water to be treated and transmit this information to the comprehensive sedimentation analysis unit. Specific raw water information includes raw water temperature, raw water pH value, and raw water concentration. The raw water concentration represents the concentration of impurities in the raw water to be treated, specifically suspended solids, turbidity, and colloidal substances.

[0018] The coagulant information acquisition unit transmits the acquired coagulant information to the comprehensive sedimentation analysis unit. This information includes the type and dosage of coagulant used. Specifically, the selection of coagulant depends primarily on the properties and concentration of the flocs and fine suspended solids. For example, if pollutants in the water are mainly in a colloidal state with a high potential, inorganic coagulants should be selected first to destabilize and aggregate them. If the flocs are small, polymeric coagulants or coagulant aids such as activated silica should be added. In many cases, combining inorganic and polymeric coagulants can significantly improve the coagulation effect and expand the application range. For polymers, the greater the charge on the chain molecules and the higher the charge density, the more fully the chains can extend, resulting in a larger adsorption and bridging space and better flocculation.

[0019] The integrated sedimentation analysis unit is used to analyze and identify the concentration of the treated water after raw water treatment based on the acquired raw water information and coagulant information, and generate identification results, which include qualified signals and secondary treatment signals.

[0020] Based on the current coagulant information, the raw water is subjected to sedimentation treatment. The concentration of the raw water after sedimentation is obtained, and an image recognition algorithm is used to analyze the raw water concentration. The specific analysis method is as follows: After capturing images of flocs in the treated water in real time, the floc images need to be processed using a series of digital image algorithms, including image smoothing, illumination homogenization, adaptive threshold segmentation, morphological denoising, connected component discrimination, and morphological boundary extraction. The floc image processing is shown below: Table 1. Image processing procedure for flocs Serial Number Monitoring technology Detection methods effect 1 Image preprocessing Grayscale Convert a color image to a grayscale image by weighting it. Median filtering While ensuring the integrity of image edges, it effectively eliminates noise and improves image clarity. Histogram equalization Increasing image contrast makes images clearer and features more prominent, which is beneficial for analysis. 2 Image object detection and recognition Particle Swarm Optimization (PSO) and Enhanced Otsu Unit (OSTU) Real-time, online detection of optimal thresholds for particles in images, improvement of incomplete boundaries, and extraction of flocculated targets. 3 Image mathematical morphology analysis Corrosion and expansion Removing object boundary points, separating two objects, or connecting objects makes the image easier to analyze. Opening and closing operations Obtaining a more fundamental and essential shape of the object results in a clearer image, which is beneficial for analysis. 4 Image feature extraction Connected component identification algorithm The system traverses and scans to obtain characteristic parameter values ​​such as the number of flocs and the equivalent particle size. After processing, floc edge information is extracted, and parameters such as the number of flocs, floc particle size, floc perimeter, and area are analyzed. The number of flocs is denoted as n, where n = 1, 2, ..., m, and m represents the number of flocs. The floc particle size is denoted as Dn, the floc perimeter as Cn, and the floc area as Sn. The obtained parameters are then substituted into the formula... The treatment index Q of the treated water was calculated, where This is a preset proportional coefficient; and as shown in the appendix. Figure 2 As shown, the image is based on actual machine-generated flocculent image analysis, which takes into account environmental factors such as light, temperature, flow rate, and impurities during the analysis process.

[0021] Next, the treatment index Q of the treated water is compared with the preset value Qy. The specific value of the preset value Qy is set by the operator and is also calculated according to the above formula. When the treatment index Q of the treated water is greater than the preset value Qy, it means that the treated water has not met the treatment requirements, and a secondary treatment signal is generated. Conversely, when the treatment index Q of the treated water is less than the preset value Qy, it means that the treated water has met the treatment requirements, and a qualified signal is generated. Then, the generated qualified signal is transmitted to the sedimentation information output unit, and the secondary treatment signal is transmitted to the reflux sedimentation analysis unit.

[0022] Specifically, the generated qualified signals include the amount of coagulant added and the type of coagulant.

[0023] The sedimentation information output unit is used to display the acquired qualified signals to the corresponding management personnel.

[0024] Example 2, as an embodiment of the present invention, is implemented based on Example 1, and differs from Example 1 in the following ways: The reflux sedimentation analysis unit is used to analyze the acquired secondary treatment signals. By analyzing the influencing factors in the water treatment process, it calculates the influencing factors corresponding to different influencing factors, calculates the secondary dosage based on the influencing factors, and generates secondary dosage information.

[0025] The system acquires the processing index corresponding to the secondary processing signal, calculates the difference between the processing index and the preset value, and judges the calculated difference. If the difference is small, it means that the amount of coagulant should be reduced accordingly in the subsequent secondary application. For example, if the first application is g and the processing index is close to the preset value after processing, it means that less coagulant is needed to meet the processing standard in the subsequent application. If the difference is large, it means that the amount of coagulant should be increased accordingly in the subsequent secondary application. For example, if the first application is K and the processing index is still far from the preset value after processing, it means that more coagulant is needed to meet the processing standard in the subsequent application. Then, the secondary application amount is analyzed based on the calculated difference. The influencing factors of coagulant and raw water treatment process are obtained, including raw water temperature and raw water pH value. The impact of each influencing factor is calculated. The specific method for calculating the impact of raw water temperature is as follows: obtain the current raw water temperature, and use the Arrhenius equation to describe the relationship between the reaction rate and temperature. The specific expression is as follows: Where k is the reaction rate constant, A is the prefactor, Ea is the activation energy, R is the ideal gas constant, and T is the absolute temperature. Also, according to the formula... Calculate the reaction rate K2 at temperature T2, where k1 is the reaction rate at a known temperature T1. Then, establish an empirical formula between temperature and flocculation reaction rate using experimental data. Specifically, conduct a series of flocculation experiments at different temperatures, recording the temperature and corresponding flocculation reaction rates. Next, try fitting the experimental data using different mathematical models (such as linear models, exponential models, etc.) to obtain an empirical formula applicable to a specific flocculation system. The specific empirical formula is as follows: Where a and b are parameters determined through fitting. The specific method for calculating the impact of raw water pH is as follows: Use acid-base regulators (such as hydrochloric acid, sodium hydroxide, etc.) to adjust the raw water to different pH ranges, such as pH=4, 5, 6, 7, 8, 9, 10, etc. Add the same dose of flocculant to each raw water sample with different pH values, and conduct flocculation experiments under the same experimental conditions to ensure that the source of raw water and other conditions (such as temperature, hardness, etc.) of each sample are as consistent as possible. Record the key time points and parameters in the experimental process, such as the time after flocculant is added, the time when flocs begin to form, and the time required for complete sedimentation. The reaction rate corresponding to different raw water pH values ​​is obtained. Based on the experimental data, the flocculation reaction rate at each pH value can be calculated. Furthermore, the relationship is determined by using a linear regression model based on the obtained reaction rate, which is Y=a1X+b1, where Y is the reaction rate, X is the pH value, and a1 and b1 are parameters to be determined. Here, it is assumed that the pH value and the reaction rate have an approximately linear relationship.

[0026] Next, the relationships obtained from the analysis are integrated to obtain the comprehensive reaction rate formula. Where F is the overall reaction rate, This is a preset proportional coefficient; The secondary dosage is then calculated based on the obtained overall reaction rate F, and the specific calculation method is as follows: The difference in the treatment index is denoted as Qc, and the original amount of coagulant added is denoted as G. Then, according to the formula... The treatment concentration value V corresponding to a unit of coagulant is calculated, and s is a preset proportionality coefficient. Then, the obtained parameters are substituted into the formula. The secondary delivery quantity G1 is calculated, where and This is a preset proportional coefficient, and the h range is specified by the operator. The specific calculation method for the interval value h is as follows: Multiple experiments were conducted, and the corresponding experimental data were obtained, as shown in Table 2 below: Experimental Data Table By performing regression analysis on the experimental data, the relationship between the reaction rate and the raw water input rate and the flocculant concentration can be obtained as follows: Where J is the coagulant concentration, d is the weighting coefficient, and the value of d is [0.1-0.14]. Further, the specific value of the interval value h is calculated based on the minimum and maximum values ​​of d, and the range value of the secondary dosage G1 is calculated based on the interval value h. At the same time, the secondary dosage information is generated, and then the secondary dosage information is transmitted to the sedimentation information output unit.

[0027] The sedimentation information output unit is used to display the acquired secondary deployment information to the corresponding management personnel.

[0028] Example 3, as Example 3 of the present invention, focuses on combining the implementation processes of Example 1 and Example 2.

[0029] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0030] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A flocculation reaction sedimentation management system for water treatment, characterized in that, include: The integrated sedimentation analysis unit is used to analyze and identify the concentration of treated water after raw water treatment based on the raw water information and coagulant information transmitted by the raw water information acquisition unit and the coagulant information acquisition unit, and generate identification results, including qualified signals and secondary treatment signals. The generated qualified signals are then transmitted to the sedimentation information output unit, and the secondary treatment signals are transmitted to the reflux sedimentation analysis unit. The reflux sedimentation analysis unit is used to analyze the acquired secondary treatment signals. By analyzing the influencing factors in the water treatment process, it calculates the influencing factors corresponding to different influencing factors. At the same time, it calculates the secondary dosage based on the influencing factors and generates secondary dosage information. Then, it transmits the secondary dosage information to the sedimentation information output unit.

2. The flocculation reaction sedimentation management system for water treatment according to claim 1, characterized in that, It also includes a raw water information acquisition unit, a coagulant information acquisition unit, and a sedimentation information output unit; The raw water information acquisition unit is used to acquire the raw water information to be treated, and transmit the acquired raw water information to the comprehensive sedimentation analysis unit. The specific raw water information includes raw water temperature, raw water pH value and raw water concentration. The coagulant information acquisition unit is used to transmit the acquired coagulant information to the comprehensive sedimentation analysis unit, where the coagulant information includes the type and amount of coagulant added. The sedimentation information output unit displays the generated qualified signals and secondary delivery information to the corresponding management personnel.

3. The flocculation reaction sedimentation management system for water treatment according to claim 1, characterized in that, The specific method by which the comprehensive sedimentation analysis unit generates the identification results is as follows: Images of flocs in the treated water are acquired and processed. Based on the processed images, floc edge information is extracted, and parameters such as the number of flocs, floc particle size, floc perimeter, and area are analyzed. The number of flocs is denoted as n, where n = 1, 2, ..., m, and m represents the number of flocs. The floc particle size is denoted as Dn, the floc perimeter as Cn, and the floc area as Sn. The acquired parameters are then substituted into the formula... The treatment index Q of the treated water was calculated, where This is a preset proportional coefficient; The treatment index Q of the treated water is compared with the preset value Qy. When the treatment index Q of the treated water is greater than the preset value Qy, a secondary treatment signal is generated; otherwise, when the treatment index Q of the treated water is less than the preset value Qy, a qualified signal is generated.

4. The flocculation reaction sedimentation management system for water treatment according to claim 1, characterized in that, The specific method by which the reflux sedimentation analysis unit analyzes the secondary processed signal is as follows: The processing index corresponding to the secondary processing signal is obtained, and the difference between the processing index and the preset value is calculated. Then, the secondary dosage analysis is performed based on the calculated difference in the processing index to obtain the influencing factors of coagulant and raw water treatment process. The specific influencing factors include raw water temperature and raw water pH value. The impact of each influencing factor is calculated.

5. The flocculation reaction sedimentation management system for water treatment according to claim 4, characterized in that, The specific method for calculating the impact of the reflux sedimentation analysis unit on the raw water temperature is as follows: Obtain the current raw water temperature and generate the Arrhenius equation, the specific expression of which is: Where k is the reaction rate constant, A is the prefactor, Ea is the activation energy, R is the ideal gas constant, and T is the absolute temperature. Also, according to the formula... Calculate the reaction rate K2 at temperature T2, where k1 is the reaction rate at a known temperature T1. Then, establish an empirical formula between temperature and flocculation reaction rate using experimental data.

6. The flocculation reaction sedimentation management system for water treatment according to claim 4, characterized in that, The specific method by which the reflux sedimentation analysis unit calculates the pH value of the raw water is as follows: The raw water was adjusted to different pH ranges using acid-base regulators. The same dose of flocculant was added to each raw water sample with different pH values, and flocculation experiments were conducted under the same experimental conditions. Key time points and parameters during the experiment were recorded. The reaction rate corresponding to different raw water pH values ​​is obtained. Based on the experimental data, the flocculation reaction rate at each pH value can be calculated. Furthermore, the relationship is determined by using a linear regression model based on the obtained reaction rate, which is Y=a1X+b1, where Y is the reaction rate, X is the pH value, and a1 and b1 are parameters to be determined. Next, the relationships obtained from the analysis are integrated to obtain the comprehensive reaction rate formula. Where F is the overall reaction rate, The pre-set proportional coefficient is used to further calculate the secondary dosage based on the obtained comprehensive reaction rate F.

7. The flocculation reaction sedimentation management system for water treatment according to claim 6, characterized in that, The specific method by which the reflux sedimentation analysis unit calculates the secondary dosage is as follows: The difference in the treatment index is denoted as Qc, and the original amount of coagulant added is denoted as G. Then, according to the formula... The treatment concentration value V corresponding to a unit of coagulant is calculated, and s is a preset proportionality coefficient. Then, the obtained parameters are substituted into the formula. The secondary delivery quantity G1 is calculated, where and The preset proportional coefficient is defined, and the h interval is defined, and the h interval is calculated.

8. The flocculation reaction sedimentation management system for water treatment according to claim 7, characterized in that, The specific method by which the reflux sedimentation analysis unit calculates the h interval values ​​is as follows: By performing regression analysis on the experimental data, the relationship between the reaction rate and the raw water input rate and the flocculant concentration can be obtained as follows: Where J is the coagulant concentration, d is the weighting coefficient, and the value of d is [0.1-0.14]. Further, the specific value of the interval value h is calculated based on the minimum and maximum values ​​of d, and the range value of the secondary dosage G1 is calculated based on the interval value h. At the same time, the secondary dosage information is generated, and then the secondary dosage information is transmitted to the sedimentation information output unit.

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