A sewage treatment device with a butterfly valve and the butterfly valve

Abstract

The application is suitable for the technical field of sewage treatment, and provides a sewage treatment device with a butterfly valve and the butterfly valve, wherein the sewage treatment device with the butterfly valve comprises a water pump, the water pump is connected with a Venturi tube through a water pipe A, an inner bottom surface at an inlet of a throat of the Venturi tube is obliquely provided with a flow guide plate, a spiral flow guide channel is arranged on an inner wall of the throat of the Venturi tube, an air inlet pipe is connected at the throat of the Venturi tube, the butterfly valve is arranged at the air inlet pipe, the air inlet pipe can be connected with an external biogas tank through a pipeline, and a fine sieve plate is arranged at a diffusion section of the Venturi tube. The application effectively improves the mixing uniformity of biogas and sewage, prevents the flow channel from being blocked due to the accumulation of sediments on the throat structure, optimizes the bubble distribution state in the aeration stage, and makes the system always in the best energy efficiency interval through real-time adjustment of the water pump power.

Description

Technical Field

[0001] This invention belongs to the field of wastewater treatment technology, and particularly relates to a wastewater treatment device with a butterfly valve and the butterfly valve. Background Technology

[0002] Wastewater treatment is a crucial component of modern urban and industrial infrastructure, with its core objective being the efficient removal of organic matter, suspended solids, nutrients, and other pollutants from wastewater. Traditional wastewater treatment processes typically involve multiple units, including pretreatment, biological treatment, and sedimentation. These units often involve complex equipment, high energy consumption, and insufficient coordination between different stages, making it difficult to cope with dynamic changes in water quality and quantity.

[0003] In the biological aeration stage, traditional aeration devices mostly use fixed aeration heads or perforated pipes, which produce bubbles of uneven size and distribution, resulting in low oxygen transfer efficiency. At the same time, the aeration intensity usually cannot be adjusted in real time according to the influent water quality (such as chemical oxygen demand COD) and the pretreatment effect, resulting in a great waste of energy and limiting the improvement of overall treatment efficiency.

[0004] More importantly, existing wastewater treatment plants often operate as independent systems, with pumps, aeration devices, and pretreatment units functioning as separate systems. They lack a unified intelligent control system to optimize the entire process. Operators typically set operating parameters based on experience, failing to respond in real-time to changes in wastewater viscosity, flow rate, turbidity, and pollutant concentration. This results in equipment operating under suboptimal conditions, leading to significant fluctuations in treatment efficiency and low overall energy efficiency.

[0005] Therefore, there is an urgent need in this field for an integrated intelligent wastewater treatment device and butterfly valve. Summary of the Invention

[0006] The purpose of this invention is to provide a sewage treatment device with a butterfly valve and the butterfly valve, which aims to solve the problem that in existing sewage treatment devices, pumps, aeration devices, pretreatment units, etc., often operate as independent systems, resulting in the equipment often operating under suboptimal conditions.

[0007] The present invention is implemented as follows: a sewage treatment device with a butterfly valve includes a water pump, which is connected to a venturi tube via a water pipe A. A guide plate is inclinedly arranged on the inner bottom surface of the throat inlet of the venturi tube, and a guide channel is spirally arranged on the inner wall of the throat of the venturi tube. An air inlet pipe is connected to the throat of the venturi tube, and a butterfly valve is installed at the air inlet pipe. The air inlet pipe can be connected to an external biogas digester through a pipe. A fine screen plate is provided in the diffusion section of the venturi tube, and a high-frequency sound wave generator capable of diffusing sound waves to the fine screen plate is connected to the venturi tube.

[0008] The Venturi tube diffuser section is connected to a water pipe B, which is connected to an aeration tank, and the aeration tank is equipped with an aeration device for aeration.

[0009] It also includes a pump pressure control system, which can adjust the pumping power of the water pump according to the state of the sewage being transported and the operating status of the sewage treatment device.

[0010] A further technical solution is that the aeration device includes an air pump, an air guide pipe A, an air guide pipe B, and an air jet head;

[0011] The aeration tank is fixedly connected to an air pump, the air outlet pipe of the air pump is fixedly connected to an air guide pipe A, the air guide pipe A is connected to an air guide pipe B in parallel, each air guide pipe B is equipped with multiple jet nozzles, one end of each air guide pipe B is fixedly connected to a gear, the aeration tank is fixedly connected to an electric drive rod, and the telescopic end of the electric drive rod is engaged with all the gears.

[0012] In a further technical solution, the water pipe B is provided with multiple spiral blades, and the spiral directions of two adjacent spiral blades are opposite.

[0013] Further technical solutions, the control system includes:

[0014] Wastewater status assessment module: Constructs a wastewater status assessment model based on the real-time viscosity, flow rate, and turbidity of the wastewater, and outputs wastewater status assessment coefficients;

[0015] Pre-treatment status assessment module: Constructs a pre-treatment status assessment model based on the pressure difference before and after the venturi throat, the biogas injection rate at the throat, and the actual power of the high-frequency acoustic generator, and outputs the pre-treatment status assessment coefficients.

[0016] Aeration status assessment module: Constructs an aeration status assessment model based on the aeration volume of the aeration device, the air outlet diameter of the aeration device, and the tilt angle of the air outlet of the aeration device relative to the horizontal direction, and outputs the aeration status assessment coefficient.

[0017] Equipment treatment efficiency prediction module: Based on the wastewater status assessment coefficient and the real-time value of influent chemical oxygen demand, the module constructs an equipment treatment efficiency prediction model according to the pretreatment status assessment coefficient and the aeration status assessment coefficient, and outputs the equipment treatment efficiency prediction coefficient.

[0018] The pumping power regulation module constructs a pumping power regulation model based on the rated pumping power of sewage and the equipment treatment efficiency prediction coefficient, and outputs the target pumping power.

[0019] A further technical solution involves substituting the real-time viscosity, flow rate, and turbidity of the wastewater into the maximum value normalization formula for processing, and outputting the viscosity index, flow rate index, and turbidity index of the wastewater respectively; the wastewater state assessment model is as follows:

[0020] ;

[0021] in This is the viscosity weighting coefficient. For traffic weighting coefficients, This is the turbidity weighting coefficient. ,and , as well as All greater than , Viscosity index For traffic index, Turbidity index This is the wastewater condition assessment coefficient.

[0022] A further technical solution involves substituting the pressure difference across the venturi throat, the biogas injection rate at the throat, and the actual power of the high-frequency acoustic generator into the maximum value normalization formula for processing, and outputting the pressure difference index, biogas injection rate index, and power index respectively.

[0023] The preprocessing state evaluation model is as follows:

[0024] ;

[0025] in This is the pressure difference weighting coefficient. This is the biogas weighting coefficient. For power weighting coefficients, ,and , , All greater than , The differential pressure index, The biogas injection rate index. Power index, This is the preprocessing state evaluation coefficient.

[0026] A further technical solution involves substituting the aeration volume of the aeration device, the air outlet diameter of the aeration device, and the tilt angle of the air outlet relative to the horizontal direction into the maximum value normalization formula for processing, and outputting the aeration volume index, the air outlet diameter index, and the air outlet angle index respectively, wherein the maximum value of the air outlet angle is ninety degrees.

[0027] The aeration status assessment model is as follows:

[0028] ;

[0029] in This is the aeration volume weighting coefficient. The adjustment coefficient is affected by the aeration rate. This is the aperture weighting coefficient. , as well as All greater than , The aeration rate index is... The exhaust orifice diameter index, This refers to the air outlet angle index. This is the aeration status evaluation coefficient.

[0030] A further technical solution involves substituting the influent chemical oxygen demand (COD) of wastewater into a maximum value normalization formula for processing, and outputting the COD index.

[0031] The equipment processing efficiency prediction model is as follows:

[0032] ;

[0033] in These are the preprocessed state weighting coefficients. This is the weighting coefficient for aeration status. The wastewater state weighting coefficient. This is the weighting coefficient for chemical oxygen demand. The overall system efficiency coefficient. , , , as well as All greater than , The preprocessing state evaluation coefficient is... This is the aeration status evaluation coefficient. This is the wastewater condition assessment coefficient. Chemical oxygen demand (COD) index This is a coefficient used to estimate the equipment's processing efficiency.

[0034] A further technical solution is proposed: the pumping power control model is as follows:

[0035] ;

[0036] in This refers to the rated power of the water pump. Efficiency power coefficient Greater than , This is a coefficient used to predict the equipment's processing efficiency. The target pumping power.

[0037] A butterfly valve is used in the aforementioned sewage treatment device equipped with a butterfly valve, wherein the butterfly valve has a threaded connection at its interface.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] This application effectively improves the mixing uniformity of biogas and sewage, prevents channel blockage caused by sediment accumulation in the throat structure, optimizes the bubble distribution during the aeration stage, and keeps the system in the optimal energy efficiency range by adjusting the water pump power in real time, thus solving the technical problems of low treatment efficiency and unstable operation of traditional devices.

[0040] This application solves the problems of uneven bubble distribution and inability to dynamically adjust aeration intensity in traditional aeration devices. By optimizing the uniformity of bubble distribution through multi-path gas distribution and synchronous angle adjustment, it enhances the adaptability of the aeration process to fluctuations in wastewater viscosity and pollutant concentration, thereby improving oxygen transfer efficiency and reducing energy consumption.

[0041] This application can dynamically calculate the treatment efficiency prediction coefficient based on real-time collected wastewater characteristic parameters and equipment operation data, and precisely adjust the pump power accordingly. For example, when the gas mixing efficiency in the pretreatment stage improves and the oxygen transfer effect of the aeration unit is enhanced, the model automatically increases the treatment efficiency prediction coefficient, thereby reducing the pump power to save energy. When the wastewater viscosity suddenly increases or the COD concentration exceeds the standard, the model promptly reduces the prediction coefficient, triggering an increase in pump power to maintain the treatment effect. This solves the problems of high energy consumption and lag in adjustment caused by the lack of multi-stage collaborative optimization in traditional devices, and achieves a dynamic balance between wastewater treatment efficiency and energy consumption.

[0042] This application can automatically adjust the pump power according to the actual treatment efficiency of the wastewater treatment device, reducing ineffective energy consumption while ensuring treatment effect. When the system is in a high-efficiency treatment state, the power output is reduced, directly cutting operating costs; when the treatment efficiency decreases, the power is increased in a timely manner to avoid the risk of secondary pollution due to insufficient treatment capacity. This solution achieves refined energy efficiency management of the wastewater treatment process by dynamically balancing treatment efficiency and energy consumption. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the structure of the present invention;

[0044] Figure 2 This is a schematic diagram of the internal structure of the Chinese-language tube of the present invention;

[0045] Figure 3 This is a schematic diagram of the aeration device in this invention;

[0046] Figure 4 This is a schematic diagram of the internal structure of water pipe B;

[0047] Figure 5 This is a schematic diagram of the pump pressure control system.

[0048] In the attached diagram: 1. Water pump; 2. Water pipe A; 3. Venturi tube; 4. Air inlet pipe; 5. Butterfly valve; 6. Fine screen plate; 7. High-frequency sound generator; 8. Aeration tank; 9. Aeration device; 91. Air pump; 92. Air guide pipe A; 93. Air guide pipe B; 94. Jet nozzle; 95. Gear; 96. Electric drive rod; 10. Water pipe B; 11. Spiral blade; 12. Guide plate; 13. Guide channel. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0050] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0051] like Figures 1-5 As shown, a wastewater treatment device with a butterfly valve is provided in one embodiment of the present invention. It includes a water pump 1, which is connected to a venturi tube 3 through a water pipe A2. A guide plate 12 is inclinedly arranged on the inner bottom surface of the throat inlet of the venturi tube 3, and a guide channel 13 is spirally arranged on the inner wall of the throat of the venturi tube 3. An air inlet pipe 4 is connected to the throat of the venturi tube 3, and a butterfly valve 5 is provided at the air inlet pipe 4. The air inlet pipe 4 can be connected to an external biogas digester through a pipe. A fine screen plate 6 is provided in the diffusion section of the venturi tube 3, and a high-frequency sound wave generator 7 that can diffuse sound waves to the fine screen plate 6 is connected to the venturi tube 3.

[0052] The diffuser section of the Venturi tube 3 is connected to a water pipe B10, and the water pipe B10 is connected to an aeration tank 8. An aeration device 9 for aeration is installed in the aeration tank 8.

[0053] It also includes a pump pressure control system, which can adjust the pumping power of pump 1 according to the state of the sewage being transported and the operating state of the sewage treatment device.

[0054] In this embodiment, the guide plate 12 refers to an inclined guide structure set on the inner bottom surface of the throat inlet, which can be implemented as a metal plate at an angle of 30-60 degrees to the pipe wall, used to guide sewage to form laminar flow to reduce inlet turbulence. The guide channel 13 refers to a groove structure extending spirally along the inner wall of the throat, which can be implemented as a continuous spiral groove with a depth of 5-8% of the pipe diameter, used to enhance the rotational kinetic energy of the fluid and promote gas-liquid mixing. The butterfly valve 5 refers to an adjustable valve installed on the air inlet pipe 4, which can be implemented as an electric proportional regulating valve, used to precisely control the biogas injection volume. The high-frequency acoustic wave generator 7 refers to a device that generates 20-50kHz mechanical waves, which can be implemented as a piezoelectric ceramic transducer, used to prevent screen clogging through cavitation effect. The pump pressure control system refers to a closed-loop control system containing a multi-parameter sensing module, which can be implemented as a combination of a PLC controller and a frequency converter, used to dynamically adjust the power of the water pump 1.

[0055] Specifically, when wastewater is pressurized by pump 1 and enters the venturi tube 3, the guide plate 12 directs the inlet fluid to the central throat region, avoiding energy loss caused by boundary layer separation. The spiral guide channel 13 forces the fluid to swirl, allowing biogas to be fully dispersed under centrifugal force. The butterfly valve 5 adjusts the biogas injection rate according to the real-time flow, and the cavitation effect generated by the high-frequency acoustic generator 7 continuously removes deposits from the screen surface. The pretreated mixture enters the aeration tank 8 through the water pipe B10 with reverse spiral blades 11. The pump pressure control system dynamically optimizes the output power of pump 1 by analyzing the wastewater viscosity, flow rate, and device operating parameters, ensuring that the gas-liquid mixing intensity matches the aeration requirements.

[0056] Compared to existing technologies, traditional Venturi tubes 3 rely on negative pressure generated by throat contraction to passively draw in gas. This solution improves the flow pattern through an active flow guiding structure and combines it with high-frequency acoustic wave active anti-clogging technology, solving the defects of easy throat blockage and uneven gas dispersion. Compared to water pump 1 operating at a fixed power, the intelligent control system of this solution achieves dynamic coordination between processing units, overcoming the drawbacks of high energy consumption and poor adaptability of traditional devices.

[0057] like Figure 3 As shown, in a preferred embodiment of the present invention, the aeration device 9 includes an air pump 91, an air guide pipe A 92, an air guide pipe B 93, and a jet nozzle 94.

[0058] The aeration tank 8 is fixedly connected to an air pump 91. The air outlet pipe of the air pump 91 is fixedly connected to an air guide pipe A92. The air guide pipe A92 is connected to air guide pipes B93 in parallel. Each air guide pipe B93 is equipped with multiple jet nozzles 94. One end of each air guide pipe B93 is fixedly connected to a gear 95. The aeration tank 8 is fixedly connected to an electric drive rod 96. The telescopic end of the electric drive rod 96 meshes with all the gears 95.

[0059] In this embodiment, the gas output from the air pump 91 is diverted through the air guide pipe A92 to the parallel air guide pipes B93. Multiple nozzles 94 on each air guide pipe B93 disperse the gas into the wastewater, increasing the contact area between the gas and the wastewater. When it is necessary to adjust the aeration intensity or bubble distribution, the telescopic end of the electric drive rod 96 drives the meshing gear 95 to rotate, causing all air guide pipes B93 to rotate synchronously around their axis, thereby changing the spray direction and tilt angle of the nozzles 94. Adjusting the rotation angle of the air guide pipes B93 can change the rising path and diffusion range of the bubbles. For example, increasing the tilt angle of the nozzles 94 when the wastewater viscosity is high can prolong the bubble residence time, or decreasing the angle when the pollutant concentration is low can reduce gas consumption. The meshing design of the gear 95 and the drive rod ensures that the rotation angles of the multiple air guide pipes B93 are consistent, avoiding uneven bubble distribution caused by angle deviations.

[0060] Compared with existing technologies, traditional aeration devices often use fixed aeration heads or a single air guide pipe structure, which cannot dynamically adjust the aeration direction according to changes in water quality, resulting in uneven bubble distribution and low oxygen transfer efficiency. In contrast, this solution adjusts the jet angle by synchronously rotating the air guide pipe B93, which can adapt to changes in wastewater status in real time. At the same time, the parallel arrangement of multiple air guide pipes B93 and the design of multiple jet heads 94 further refine the gas release nodes and improve the uniformity of gas dispersion.

[0061] like Figure 4 As shown, in a preferred embodiment of the present invention, the water pipe B10 is provided with a plurality of spiral blades 11, and the spiral directions of two adjacent spiral blades 11 are opposite.

[0062] In this embodiment, the water flow is forcibly twisted to form a swirling flow when passing through the helical blades 11. The adjacent counter-rotating helical structures cause the water flow to generate alternating rotational motion as it continuously passes through blades with different rotational directions. This alternating swirling flow creates velocity gradient differences in adjacent regions, inducing local turbulence and eddy current effects, and enhancing the contact area and mixing uniformity between the gas-liquid or solid-liquid phases. At the same time, the alternating direction of the centrifugal force generated by the counter-rotating helical structure counteracts the cumulative effect of centrifugal force caused by rotation in a single direction, avoiding uneven velocity distribution caused by continuous unidirectional rotation of the water flow, thereby balancing the pressure distribution within the pipe and reducing the probability of suspended matter deposition on the pipe wall.

[0063] like Figure 5 As shown, in a preferred embodiment of the present invention, the control system includes:

[0064] Wastewater status assessment module: Constructs a wastewater status assessment model based on the real-time viscosity, flow rate, and turbidity of the wastewater, and outputs wastewater status assessment coefficients;

[0065] Pre-treatment status assessment module: Based on the pressure difference before and after the throat of the Venturi tube 3, the biogas injection rate of the throat, and the actual power of the high-frequency sound wave generator 7, a pre-treatment status assessment model is constructed, and the pre-treatment status assessment coefficients are output.

[0066] Aeration status assessment module: Based on the aeration volume of aeration device 9, the outlet diameter of aeration device 9, and the tilt angle of the outlet of aeration device 9 relative to the horizontal direction, an aeration status assessment model is constructed, and the aeration status assessment coefficient is output.

[0067] Equipment treatment efficiency prediction module: Based on the wastewater status assessment coefficient and the real-time value of influent chemical oxygen demand, the module constructs an equipment treatment efficiency prediction model according to the pretreatment status assessment coefficient and the aeration status assessment coefficient, and outputs the equipment treatment efficiency prediction coefficient.

[0068] The pumping power regulation module constructs a pumping power regulation model based on the rated pumping power of sewage and the equipment treatment efficiency prediction coefficient, and outputs the target pumping power.

[0069] In this embodiment, the wastewater state assessment module refers to a calculation unit that collects wastewater viscosity, flow rate, and turbidity data in real time through sensors and converts them into dimensionless exponents using a normalization formula. Specifically, it can be implemented using an embedded processor combined with a viscometer, flow meter, and turbidity sensor to quantify the comprehensive state parameters of the wastewater. The pretreatment state assessment module refers to an assessment unit that monitors the pressure difference at the throat of the Venturi tube 3 using a pressure sensor, obtains the biogas injection rate using a gas flow meter, and measures the actual power of the sound generator using a power meter. Specifically, it can be implemented using a data acquisition card and a multivariate regression model to assess gas mixing and pollutant decomposition efficiency. The aeration state assessment module refers to an analysis unit that measures the aeration volume using a gas flow meter, obtains the aeration orifice size using image recognition technology, and detects the outlet angle using an angle sensor. Specifically, it can be implemented using a machine vision system combined with an angle encoder to quantify the bubble distribution characteristics of the aeration device 9. The equipment treatment efficiency prediction module refers to a prediction unit that performs multi-dimensional coupling calculations on wastewater state parameters, chemical oxygen demand (COD) data, and pretreatment and aeration assessment results. Specifically, it can be implemented using a neural network algorithm to dynamically predict the overall treatment efficiency of the system. The pumping power regulation module refers to the control unit that dynamically adjusts the output power of water pump 1 according to the efficiency prediction coefficient. Specifically, it can be implemented using a frequency converter and a PID controller to achieve a dynamic balance between energy consumption and treatment effect.

[0070] Specifically, the wastewater status assessment module collects wastewater parameters in real time using a viscometer, flow meter, and turbidity sensor. It converts the raw data into standardized indices using a maximum value normalization method and outputs a comprehensive assessment coefficient through a weighted summation model. The pretreatment status assessment module simultaneously acquires data on the pressure difference at the throat of Venturi tube 3, biogas injection velocity, and acoustic power. After normalization, this data is input into a multiple linear regression model to generate pretreatment efficiency coefficients. The aeration status assessment module continuously monitors aeration volume using a gas flow meter, periodically captures aeration orifice images using a machine vision system and calculates the equivalent diameter, and combines this with real-time measurement of the outlet angle using an angle sensor. These three data points are then substituted into a nonlinear assessment model to calculate the aeration status coefficient. The equipment treatment efficiency prediction module integrates the wastewater status assessment coefficient, real-time chemical oxygen demand (COD) value, and pretreatment and aeration assessment coefficients, using a ratio-based mathematical model to predict the current system treatment efficiency. The pumping power adjustment module adjusts the motor speed of pump 1 in real time via a frequency converter based on the product of the efficiency prediction coefficient and the rated power, allowing the pumping power to dynamically change with the treatment efficiency.

[0071] Compared to existing technologies, traditional wastewater treatment systems lack coordinated assessment and dynamic control of the operational status of each stage. The power of pump 1 is typically fixed, failing to respond to real-time changes in wastewater parameters and treatment efficiency. In existing technologies, the pretreatment unit and aeration device 9 operate independently, without establishing a correlation model with the wastewater state, leading to energy waste and fluctuating treatment effectiveness. This solution, by constructing a multi-dimensional assessment model and a closed-loop feedback mechanism, achieves dynamic matching of pump 1 power with wastewater state, pretreatment efficiency, and aeration effect, overcoming the low energy efficiency problem caused by fixed parameters in traditional systems.

[0072] Through the above technical solution, this application can dynamically evaluate the gas mixing efficiency of the pretreatment unit and the oxygen transfer efficiency of the aeration device 9 based on real-time collected data on sewage viscosity, flow rate, turbidity, and chemical oxygen demand. It also predicts the overall system treatment efficiency based on a multi-parameter coupling model and ultimately achieves precise adjustment of the power of the water pump 1 through frequency conversion control. This solution solves the energy waste problem caused by fixed operating parameters in traditional sewage treatment devices, significantly reduces system energy consumption while ensuring treatment effectiveness, and improves the equipment's adaptability to water quality fluctuations.

[0073] In a preferred embodiment of the present invention, the real-time viscosity, flow rate, and turbidity of the wastewater are respectively substituted into the maximum value normalization formula for processing, and the viscosity index, flow rate index, and turbidity index of the wastewater are output respectively; the wastewater state assessment model is as follows:

[0074] ;

[0075] in This is the viscosity weighting coefficient. For traffic weighting coefficients, This is the turbidity weighting coefficient. ,and , as well as All greater than , Viscosity index For traffic index, Turbidity index This is the wastewater condition assessment coefficient.

[0076] In this embodiment, the maximum value normalization formula refers to dividing the real-time parameter value by its corresponding historical maximum value. Specifically, this can be achieved by comparing the real-time data collected by the sensor with historical peak values ​​in a preset database, thus eliminating the incomparability between parameters of different dimensions. The viscosity index refers to the normalized wastewater viscosity parameter, which can be measured using an embedded processor combined with a viscometer, characterizing the viscosity of the wastewater. The flow rate index refers to the normalized wastewater flow rate parameter, which can be measured in real-time using an electromagnetic flowmeter and mapped to the 0-1 range via linear transformation, characterizing the dynamic changes in wastewater transport. The turbidity index refers to the normalized wastewater suspended solids concentration parameter, which can be measured by an optical sensor and scaled according to a preset ratio, reflecting the content of solid particles in the wastewater.

[0077] Specifically, real-time measurements of wastewater viscosity, flow rate, and turbidity are input into a maximum value normalization formula to generate corresponding standardized indices. For example, when the wastewater flow sensor measures the current flow rate as 80% of the historical maximum flow rate, the flow rate index is quantified as 0.8. Viscosity weighting coefficients, flow rate weighting coefficients, and turbidity weighting coefficients are adjustment factors reflecting the impact of wastewater viscosity, flow rate, and turbidity on treatment efficiency. These factors can be determined through regression analysis of historical operating data using machine learning algorithms, and are used to enhance the contribution of key parameters in the comprehensive evaluation. The three standardized indices are multiplied by their corresponding weighting coefficients and then summed to generate a comprehensive wastewater state assessment coefficient. This coefficient reflects changes in the physical properties of the wastewater in real time, providing quantitative input to the pump power adjustment module, enabling pump 1 to dynamically adjust its operating parameters according to the wastewater state.

[0078] Through the above technical solution, this application achieves multi-dimensional real-time monitoring and comprehensive evaluation of the physical properties of wastewater, enabling precise matching of pumping power regulation to the current wastewater state. For example, when a sudden increase in the wastewater viscosity index is detected, the evaluation model automatically increases the weight of the viscosity parameter, triggering timely adjustment of the pumping power and avoiding a surge in energy consumption due to increased fluid resistance. This solution effectively solves the energy waste problem caused by inaccurate state evaluation in traditional wastewater treatment devices, while also improving the system's adaptability to water quality fluctuations.

[0079] As a preferred embodiment of the present invention, the pressure difference before and after the throat of the Venturi tube 3, the biogas injection speed at the throat, and the actual power of the high-frequency sound wave generator 7 are respectively substituted into the maximum value normalization formula for processing, and the pressure difference index, biogas injection speed index and power index are respectively output.

[0080] The preprocessing state evaluation model is as follows:

[0081] ;

[0082] in This is the pressure difference weighting coefficient. This is the biogas weighting coefficient. For power weighting coefficients, ,and , , All are greater than 0. The differential pressure index, The biogas injection rate index. Power index, This is the preprocessing state evaluation coefficient.

[0083] In this embodiment, the pressure difference before and after the throat of the Venturi tube 3 refers to the pressure difference between the inlet and outlet when the fluid flows through the throat. Specifically, it can be measured in real time using a pressure sensor at the positions before and after the throat. This parameter reflects the influence of the throat's fluid dynamics on the gas mixing efficiency. The throat biogas injection rate refers to the volumetric flow rate of biogas injected through the inlet pipe 4 per unit time. Specifically, it can be monitored using a flow meter. This parameter is used to assess the sufficiency of the contact reaction between the gas and wastewater. The actual power of the high-frequency acoustic generator 7 refers to the electrical power consumed by the acoustic generator during operation. Specifically, it can be collected using a power meter. This parameter reflects the enhancing effect of sound waves on the dispersion and mixing process of pollutants. The maximum value normalization formula involves dividing the original parameter value by its possible maximum value, converting physical quantities of different dimensions into dimensionless exponents. For example, the pressure difference exponent can be calculated by dividing the current pressure difference by a preset maximum pressure difference threshold. This process eliminates the magnitude differences between parameters, making different parameters comparable. The pressure difference weighting coefficient, biogas weighting coefficient, and power weighting coefficient refer to the contribution ratio of each normalized index in the weighted model. They can be determined through experimental calibration or optimization using historical data. Their sum is 1 and all are positive numbers, ensuring that the influence of each parameter on the pretreatment effect is balanced and adjustable.

[0084] Specifically, raw data on throat pressure difference, biogas injection rate, and acoustic power are collected in real time using pressure sensors, flow meters, and power meters, respectively. The maximum values ​​of each parameter are then normalized using a formula to convert them into exponents within the range of 0 to 1. The pressure difference exponent reflects the stability of the fluid flow in the throat, the biogas injection rate exponent relates to the mixing efficiency of gas and wastewater, and the power exponent characterizes the intensity of the acoustic wave's dispersion of pollutants. Subsequently, these three exponents are substituted into the pretreatment state assessment model and linearly weighted and summed according to preset weighting coefficients to output a comprehensive pretreatment state assessment coefficient. This coefficient dynamically reflects the synergistic relationship between throat pressure difference, gas injection rate, and acoustic power. When a parameter deviates from the normal range, the weighting mechanism can suppress the interference of abnormal fluctuations on the overall assessment results, thereby maintaining the stable operation of the pretreatment process.

[0085] Through the above technical solution, this application can dynamically coordinate the matching relationship between throat pressure difference, biogas injection rate, and acoustic power, optimize the mixing uniformity of gas and sewage, and reduce the risk of throat blockage. The pretreatment status evaluation coefficient reflects the system operating status in real time, providing a reliable basis for subsequent pumping power adjustment, thereby maintaining the efficient and stable operation of the pretreatment stage under complex operating conditions and improving the adaptive capability of the overall sewage treatment system.

[0086] As a preferred embodiment of the present invention, the aeration volume of the aeration device 9, the air outlet diameter of the aeration device 9, and the tilt angle of the air outlet of the aeration device 9 relative to the horizontal direction are respectively substituted into the maximum value normalization formula for processing, and the aeration volume index, the air outlet diameter index, and the air outlet angle index are respectively output, wherein the maximum value of the air outlet angle is ninety degrees.

[0087] The aeration status assessment model is as follows:

[0088] ;

[0089] in This is the aeration volume weighting coefficient. The adjustment coefficient is affected by the aeration rate. This is the aperture weighting coefficient. , as well as All are greater than 0. The aeration rate index is... The exhaust orifice diameter index, This refers to the air outlet angle index. This is the aeration status evaluation coefficient.

[0090] In this embodiment, the aeration rate refers to the volume of gas introduced into the aeration tank 8 per unit time. Specifically, a gas flow meter can be used to monitor this in real time and transmit the data to the control system, characterizing the impact of gas supply intensity on oxygen transfer efficiency. The outlet orifice diameter refers to the diameter of the gas release port in the aeration device 9. Specifically, this can be dynamically controlled using an adjustable aeration head; reducing the orifice diameter produces smaller bubbles, increasing the gas-liquid contact area. The outlet angle refers to the angle between the aeration port axis and the horizontal direction. Specifically, a rotatable aeration head structure can be used to adjust the angle; changes in angle alter the bubble rise path, optimizing distribution uniformity. The maximum value normalization formula is a standardization method that divides the actual parameter value by its preset maximum value. Specifically, linear or nonlinear mapping methods can be used to eliminate dimensional differences, making different parameters comparable.

[0091] Specifically, the aeration volume index is normalized to convert the actual aeration volume into a dimensionless value, reflecting the ratio of the current aeration intensity to the maximum design capacity. The outlet aperture index is normalized to characterize the degree to which aperture adjustment controls bubble size; a smaller aperture corresponds to a lower index, which in turn affects several other parameters. The calculation enhances the bubble refinement effect caused by the reduced aperture. The outlet angle index is normalized by comparing the actual angle with the maximum angle of 90 degrees, ensuring that the angle parameter represents the controllability of the bubble diffusion direction within a reasonable range. In the model, Item pass index The nonlinear effect of adjusting the aeration rate, when When the value is greater than 1, the contribution of high aeration volume to the evaluation coefficient is enhanced; The synergistic effect of aperture reduction and angle adjustment is transformed into a weighting coefficient. Aperture reduction increases the logarithmic term, thereby enhancing the gain effect of angle adjustment on the evaluation coefficient. Aeration volume weighting coefficient. Aeration volume affects the adjustment coefficient and aperture weighting coefficient Specifically, this can be determined through regression analysis of historical operating data using machine learning algorithms.

[0092] Compared to existing technologies, traditional aeration devices 9 typically use fixed outlet apertures and angles, controlling aeration volume solely by adjusting the power of the air pump 91. This results in bubble size and distribution failing to adapt to changes in water quality. Existing technologies lack quantitative evaluation models for aeration parameter adjustments, requiring operators to rely solely on experience for manual adjustments, making it difficult to dynamically match aeration status with wastewater treatment needs. This solution, however, normalizes aeration volume, aperture, and angle into quantifiable and comparable indices, and constructs an evaluation model incorporating nonlinear and logarithmic terms. This model dynamically reflects the differences in the contribution of different parameter combinations to aeration performance, providing a precise basis for automatic control.

[0093] Through the above technical solutions, this application solves the problem of low oxygen transfer efficiency caused by uneven bubble distribution and fixed parameters in traditional aeration devices 9. Dynamic calculation of the aeration volume index allows the system to adjust the gas supply in real time according to the chemical oxygen demand of the wastewater; the introduction of the outlet aperture index enables precise control of bubble size, avoiding the decrease in oxygen utilization caused by large bubbles; the application of the outlet angle index optimizes the diffusion path of bubbles in the aeration tank 8, reducing bubble aggregation in local areas. Through the nonlinear superposition relationship in the model, the system can automatically match the optimal combination of aeration volume, aperture, and angle, maintaining stable oxygen transfer efficiency and reducing energy consumption when wastewater pollutant concentration fluctuates.

[0094] In a preferred embodiment of the present invention, the chemical oxygen demand (COD) of the wastewater influent is substituted into the maximum value normalization formula for processing, and the COD index is output.

[0095] The equipment processing efficiency prediction model is as follows:

[0096] ;

[0097] in These are the preprocessed state weighting coefficients. This is the weighting coefficient for aeration status. The wastewater state weighting coefficient. This is the weighting coefficient for chemical oxygen demand. The overall system efficiency coefficient. , , , as well as All are greater than 0. The preprocessing state evaluation coefficient is... This is the aeration status evaluation coefficient. This is the wastewater condition assessment coefficient. Chemical oxygen demand (COD) index This is a coefficient used to estimate the equipment's processing efficiency.

[0098] In this embodiment, the maximum value normalization formula refers to dividing the original data by the maximum possible value of the parameter, transforming it into a standardized exponent between zero and one. Specifically, this can be achieved by using a chemical oxygen demand (COD) sensor to collect data in real time, and then performing normalization calculations through a data processor to eliminate dimensional differences and quantify the pollution load. The pretreatment state assessment coefficient is used to evaluate the degradation capacity of pollutants in the pretreatment stage. The aeration state assessment coefficient is used to quantify microbial metabolic activity. The wastewater state assessment coefficient is used to characterize the ease of wastewater transportation and treatment. The COD index is a standardized indicator of the concentration of organic pollutants in wastewater, which can be measured in real time using an online COD analyzer to measure the organic load in the biological treatment stage. The system comprehensive efficiency coefficient is a parameter used for global calibration of the model output, used to match the deviation between the estimated coefficient and the actual treatment capacity. The weighting coefficients for pretreatment state, aeration state, wastewater state, COD, and system comprehensive efficiency can be determined through fitting historical operating data or experimental calibration.

[0099] Specifically, the equipment treatment efficiency prediction model establishes a dynamic balance mechanism through the ratio of the numerator to the denominator. The numerator integrates the evaluation coefficients of the pretreatment and aeration stages, reflecting the positive contributions of gas mixing efficiency and oxygen transfer efficiency to treatment capacity. The denominator combines wastewater state and chemical oxygen demand (COD) index, reflecting the inhibitory effect of wastewater complexity and pollution load on treatment efficiency. For example, when the pressure difference in the pretreatment stage increases and the aeration volume is sufficient, the numerator value increases, indicating enhanced system treatment capacity; when the wastewater is viscous or the COD concentration is too high, the denominator value increases, indicating increased treatment difficulty. The contribution ratio of each parameter is adjusted by weighting coefficients. For example, increasing the pretreatment weighting coefficient can strengthen the impact of gas injection on treatment efficiency, while decreasing the COD weighting coefficient can reduce the interference of pollutant concentration fluctuations on the model. The overall system efficiency coefficient further calibrates the model output to ensure the matching of the predicted coefficients with actual operating conditions. Thus, the model can dynamically reflect the coupling relationship between the operating status of each stage and wastewater characteristics, providing real-time decision-making basis for pump 1 power control.

[0100] As a preferred embodiment of the present invention, the pumping power regulation model is as follows:

[0101] ;

[0102] in This is the rated power of water pump 1. Efficiency power coefficient Greater than , This is a coefficient used to predict the equipment's processing efficiency. The target pumping power.

[0103] In this embodiment, the rated power is the design capacity of pump 1 under standard operating conditions. Specifically, it can be achieved using the factory calibration parameters of pump 1 or a benchmark value fitted based on historical operating data, serving as the initial benchmark for power adjustment. The efficiency-power coefficient is a sensitivity parameter to the impact of adjusting treatment efficiency on power. Specifically, it can be determined through experimental calibration or machine learning optimization, used to balance the relationship between treatment efficiency and energy consumption. The equipment treatment efficiency prediction coefficient is a quantitative evaluation result considering the overall wastewater condition, pretreatment effect, and aeration status. Specifically, it can be calculated by real-time data collection from sensors and input into a preset mathematical model, reflecting the overall treatment capacity of the system.

[0104] Specifically, this model uses rated power as a benchmark and converts the equipment's treatment efficiency prediction coefficient into a power adjustment amount through an efficiency power coefficient. When the treatment efficiency prediction coefficient increases, it indicates that the system's treatment capacity is enhanced, and the target pumping power is reduced proportionally to avoid excessive pumping and energy waste. When the treatment efficiency prediction coefficient decreases, the target pumping power is increased accordingly to ensure that the treatment effect meets the standards. This control process is achieved through a closed-loop feedback mechanism, which collects the status parameters of each stage of wastewater treatment in real time and dynamically adjusts the operating status of pump 1 after multi-dimensional evaluation, so that the power output always matches the current treatment demand.

[0105] A butterfly valve is used in the sewage treatment device with a butterfly valve in the above embodiments, wherein the interface of the butterfly valve is threaded.

[0106] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A sewage treatment device with a butterfly valve, comprising a water pump, characterized in that, The water pump is connected to a venturi tube via water pipe A. A guide plate is inclinedly installed on the inner bottom surface of the venturi tube at the throat inlet, and a guide channel is spirally installed on the inner wall of the venturi tube throat. An air inlet pipe is connected to the venturi tube throat, and a butterfly valve is installed at the air inlet pipe. The air inlet pipe can be connected to an external biogas digester through a pipe. A fine sieve plate is installed in the diffuser section of the venturi tube, and a high-frequency sound wave generator that can diffuse sound waves to the fine sieve plate is connected to the venturi tube. The Venturi tube diffuser section is connected to a water pipe B, which is connected to an aeration tank, and the aeration tank is equipped with an aeration device for aeration. It also includes a pump pressure control system, which can adjust the pumping power of the water pump according to the state of the sewage being transported and the operating status of the sewage treatment device; The aeration device includes an air pump, an air guide pipe A, an air guide pipe B, and jet nozzles; the aeration tank is fixedly connected to the air pump, the air outlet pipe of the air pump is fixedly connected to the air guide pipe A, the air guide pipe A is connected to the air guide pipe B in parallel, each air guide pipe B is equipped with multiple jet nozzles, one end of each air guide pipe B is fixedly connected to a gear, and the aeration tank is fixedly connected to an electric drive rod, the telescopic end of the electric drive rod meshing with all the gears; The water pipe B is equipped with multiple spiral blades, and the spiral directions of two adjacent spiral blades are opposite. The control system includes: Wastewater status assessment module: Constructs a wastewater status assessment model based on the real-time viscosity, flow rate, and turbidity of the wastewater, and outputs wastewater status assessment coefficients; Pre-treatment status assessment module: Constructs a pre-treatment status assessment model based on the pressure difference before and after the venturi throat, the biogas injection rate at the throat, and the actual power of the high-frequency acoustic generator, and outputs the pre-treatment status assessment coefficients. Aeration status assessment module: Constructs an aeration status assessment model based on the aeration volume of the aeration device, the air outlet diameter of the aeration device, and the tilt angle of the air outlet of the aeration device relative to the horizontal direction, and outputs the aeration status assessment coefficient. Equipment treatment efficiency prediction module: Based on the wastewater status assessment coefficient and the real-time value of influent chemical oxygen demand, the module constructs an equipment treatment efficiency prediction model according to the pretreatment status assessment coefficient and the aeration status assessment coefficient, and outputs the equipment treatment efficiency prediction coefficient. The pumping power regulation module constructs a pumping power regulation model based on the rated pumping power of sewage and the equipment treatment efficiency prediction coefficient, and outputs the target pumping power.

2. The sewage treatment device with a butterfly valve according to claim 1, characterized in that, The real-time viscosity, flow rate, and turbidity of the wastewater are substituted into the maximum value normalization formula for processing, and the viscosity index, flow rate index, and turbidity index of the wastewater are output respectively; the wastewater state assessment model is as follows: ； in This is the viscosity weighting coefficient. For traffic weighting coefficients, This is the turbidity weighting coefficient. Viscosity index For traffic index, Turbidity index This is the wastewater condition assessment coefficient.

3. The sewage treatment device with a butterfly valve according to claim 2, characterized in that, The pressure difference across the venturi throat, the biogas injection rate at the throat, and the actual power of the high-frequency acoustic generator are substituted into the maximum value normalization formula for processing, and the pressure difference index, biogas injection rate index, and power index are output respectively. The preprocessing state evaluation model is as follows: ； in This is the pressure difference weighting coefficient. This is the biogas weighting coefficient. For power weighting coefficients, The differential pressure index, The biogas injection rate index. Power index, This is the preprocessing state evaluation coefficient.

4. The sewage treatment device with a butterfly valve according to claim 3, characterized in that, The aeration volume, the outlet diameter, and the tilt angle of the outlet relative to the horizontal direction of the aeration device are substituted into the maximum value normalization formula for processing, and the aeration volume index, outlet diameter index, and outlet angle index are output respectively, where the maximum value of the outlet angle is 90 degrees. The aeration status assessment model is as follows: ； in This is the aeration volume weighting coefficient. The adjustment coefficient is affected by the aeration rate. This is the aperture weighting coefficient. The aeration rate index is... The exhaust orifice diameter index, This refers to the air outlet angle index. This is the aeration status evaluation coefficient.

5. The sewage treatment device with a butterfly valve according to claim 4, characterized in that, The influent chemical oxygen demand (COD) of wastewater is substituted into the maximum value normalization formula for processing, and the COD index is output. The equipment processing efficiency prediction model is as follows: ； in These are the preprocessed state weighting coefficients. This is the weighting coefficient for aeration status. The wastewater state weighting coefficient. This is the weighting coefficient for chemical oxygen demand. The overall system efficiency coefficient. The preprocessing state evaluation coefficient is... This is the aeration status evaluation coefficient. This is the wastewater condition assessment coefficient. Chemical oxygen demand (COD) index This is a coefficient used to estimate the equipment's processing efficiency.

6. The sewage treatment device with a butterfly valve according to claim 5, characterized in that, The pumping power control model is as follows: ； in This refers to the rated power of the water pump. Efficiency power coefficient This is a coefficient used to predict the equipment's processing efficiency. The target pumping power.

7. A butterfly valve, applied to a wastewater treatment device with a butterfly valve as described in any one of claims 1-6, characterized in that, The butterfly valve has a threaded connection at the interface.

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