A sewage treatment device for canning

Abstract

The application is suitable for the field of sewage treatment, and provides a sewage treatment device for can processing, which comprises a treatment cylinder, a water inlet and a water outlet are connected to the treatment cylinder, a No.1 motor is connected to the middle position of the bottom of the treatment cylinder, a connecting sleeve is fixedly connected to the output shaft of the No.1 motor, a plurality of connecting rods are rotatably connected to the connecting sleeve, a stirring hole plate is fixedly connected to one end of each connecting rod, the inclination angles of all the stirring hole plates are the same, and an adjusting assembly for adjusting the flow guiding area of the flow guiding hole on the stirring hole plate is arranged on the stirring hole plate. In the application, the three state coefficients of the water quality state coefficient, the pollutant state coefficient and the stirring state coefficient are constructed, the complex sewage treatment parameters are quantified, and a powerful tool is provided for the monitoring, diagnosis, prediction and control of the sewage treatment process.

Description

Technical Field

[0001] This invention belongs to the field of wastewater treatment, and in particular relates to a wastewater treatment device for canning. Background Technology

[0002] The production and processing of canned foods generates a large amount of wastewater with complex composition and high concentrations of pollutants. This type of wastewater typically contains high concentrations of organic matter, such as sugar, starch, oil, and protein, as well as various food additives and cleaning agents. It is also rich in suspended solids (SS) and has high viscosity. Therefore, efficient and stable pretreatment is a crucial step in subsequent advanced treatment and even achieving compliant discharge.

[0003] In existing wastewater treatment processes for canning, physical treatment (such as sedimentation and flotation) and biological treatment are common methods. Among these, mechanical agitation to ensure thorough mixing of wastewater and chemicals and promote the coagulation and flocculation of suspended solids is a crucial step. Currently, the commonly used agitation devices are mostly fixed paddle mixers or simple adjustable speed mixers, which have significant limitations:

[0004] First, the stirring intensity is fixed or the adjustment dimension is singular, making it impossible to adaptively adjust the fluid shear force and flow area according to the dynamic changes in influent water quality (such as viscosity, pollutant density, and aggregation degree). This results in uneven mixing and poor flocculation under high viscosity or high load conditions, while causing energy waste under low load conditions. Second, traditional agitators are prone to severe vibration and turbulence when rotating at high speed or processing non-uniform media. This not only generates noise and shortens the equipment lifespan but may also destroy the formed flocs, affecting the sedimentation and separation effect. Third, existing technologies lack the coordinated perception and intelligent linkage control of stirring status (such as rotation speed and flow area) with real-time water quality and pollutant status. The stability and efficiency of the entire treatment process rely excessively on the operator's experience.

[0005] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0006] The purpose of this invention is to provide a wastewater treatment device for canning, which aims to solve the problem of low flocculation efficiency and poor performance of existing wastewater treatment devices for canning.

[0007] The present invention is implemented as follows: a wastewater treatment device for canning processing includes a treatment cylinder, which is connected to an inlet and an outlet. A No. 1 motor is connected to the middle position of the bottom of the treatment cylinder. The output shaft of the No. 1 motor is fixedly connected to a connecting sleeve. Several connecting rods are rotatably connected to the connecting sleeve. One end of each connecting rod is fixedly connected to a stirring perforated plate. All stirring perforated plates have the same inclination angle. An adjustment component is provided on the stirring perforated plate for adjusting the guiding area of ​​the guiding holes on the stirring perforated plate.

[0008] The connecting sleeve is equipped with a driving component, which can simultaneously drive all connecting rods to rotate, thereby changing the cross-sectional area of ​​all stirring orifice plates in the vertical direction; the connecting sleeve is also equipped with a vibration damping component, which is used to dampen the vibration of all stirring orifice plates.

[0009] The upper part of the treatment cylinder is equipped with a flocculant storage cylinder and an acid-base neutralization liquid storage cylinder, and both the flocculant storage cylinder and the acid-base neutralization liquid storage cylinder are equipped with electromagnetic shut-off valves.

[0010] A stirring and dispersion optimization system, comprising:

[0011] The data acquisition module is used to acquire information on the viscosity, temperature, and pH of wastewater, as well as information on suspended solids density and aggregation degree, and information on the stirring speed and interception area of ​​the orifice plate.

[0012] The water quality status module constructs a water quality status model based on the viscosity, temperature, and pH information of wastewater and outputs water quality status coefficients.

[0013] The pollutant state module constructs a pollutant state model based on the density and aggregation information of suspended solids in wastewater and outputs pollutant state coefficients.

[0014] The stirring state module constructs a stirring state model based on the stirring speed and cross-sectional area of ​​the stirring orifice plate, and outputs the stirring state coefficients.

[0015] The flow area adjustment module constructs a flow area adjustment model based on the current water quality state coefficient, pollutant state coefficient, and mixing state coefficient. It outputs the target flow area of ​​the flow holes and controls the adjustment component to make adjustments. By dynamically adjusting the flow area of ​​the flow holes on the mixing orifice plate through the adjustment component, the mixing efficiency and equipment safety are balanced.

[0016] In a further technical solution, the adjustment component includes a sliding orifice plate and a second motor. The sliding orifice plate is slidably connected in the stirring orifice plate, and the second motor is fixedly connected to the stirring orifice plate. The second motor is threadedly connected to the sliding orifice plate, and a sealed outer shell is provided for the second motor. The through holes on the sliding orifice plate correspond one-to-one with the guide holes on the stirring orifice plate.

[0017] In a further technical solution, the drive assembly includes a No. 3 motor, a driving wheel, and a driven wheel;

[0018] The No. 3 motor is fixedly connected to the inner top surface of the connecting sleeve. The output shaft of the No. 3 motor is fixedly connected to a drive wheel. Each end of the connecting rod is fixedly connected to a driven wheel on the inner side of the connecting sleeve. All driven wheels mesh with the drive wheel.

[0019] In a further technical solution, the vibration damping component includes an electric telescopic rod and an elastic pressure plate. The electric telescopic rod is fixedly connected to the bottom surface of the connecting sleeve. The output shaft of the electric telescopic rod is fixedly connected to the elastic pressure plate. The elastic pressure plate is conical and can elastically abut against all driven wheels.

[0020] A further technical solution involves equipping the inner wall of the treatment cylinder with a viscosity sensor, a temperature sensor, and a pH sensor. The viscosity, temperature, and pH values ​​of the wastewater are obtained using these sensors. The viscosity value is normalized using a maximum value normalization formula to obtain a viscosity index. The absolute value of the difference between the real-time temperature value and the optimal temperature value is then divided by the difference between the historical maximum and minimum temperature values ​​to obtain a temperature index. Similarly, the absolute value of the difference between the real-time pH value and the optimal pH value is then divided by the difference between the historical maximum and minimum pH values ​​to obtain a pH index.

[0021] The water quality state model is as follows:

[0022] ;

[0023] in , as well as All are weighting coefficients, satisfying ,and , as well as All greater than , Viscosity index Temperature index pH index This is the water quality state coefficient.

[0024] A further technical solution is to normalize the density and aggregation degree of suspended solids in wastewater using a maximum-minimum normalization formula, and generate a density index and an aggregation degree index.

[0025] The pollutant state model is as follows:

[0026] ;

[0027] in , All are weighting coefficients, satisfying ,and , All greater than , The density index represents the density of suspended matter. Indicating the aggregation degree index of suspended matter, This represents the pollutant state coefficient.

[0028] In a further technical solution, both the No. 1 motor and the No. 3 motor are electrically connected to a controller, and the controller is electrically connected to a data processor. By controlling the rotation speed of the No. 1 motor and the rotation angle of the No. 3 motor through the controller, the rotation speed and cross-sectional area of ​​the stirring orifice plate can be calculated. The rotation speed and cross-sectional area of ​​the stirring orifice plate are normalized by the maximum and minimum normalization formulas respectively, and the rotation speed index and cross-sectional area index are generated.

[0029] The stirring state model is as follows:

[0030]

[0031] in , All are weighting coefficients, satisfying ,and , All greater than , Indicates the speed index. This indicates the cross-sectional area index of the stirring orifice plate. This represents the stirring state coefficient.

[0032] A further technical solution involves a vibration sensor installed on the stirring orifice plate. This sensor detects the vibration frequency of the orifice plate. The vibration frequency is normalized using a maximum value normalization formula to generate a vibration frequency index. The flow guide area adjustment model is as follows:

[0033] ;

[0034] in It is a proportionality constant. Greater than 0; The vibration attenuation coefficient is... A value greater than 0 indicates the suppression effect of vibration frequency on aperture. Indicates the frequency index. The vibration frequency influence factor, This is the water quality state coefficient. Represents the pollutant state coefficient. This represents the stirring state coefficient. This indicates the target flow guiding area of ​​the guide hole.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0036] This application achieves intelligent dynamic adjustment of mixing parameters during wastewater treatment, solving the problems of low mixing efficiency, high energy consumption, and vibration damage to flocs in traditional devices. The linkage control of the guiding area and the intercepting area ensures precise matching of fluid shear force with the wastewater state, improving flocculation efficiency. Vibration damping components reduce structural vibration during equipment operation, ensuring floc integrity. The closed-loop control mechanism of the multi-parameter model optimizes energy utilization and avoids resource waste under low-load conditions.

[0037] This application solves the problem of mixing efficiency fluctuations caused by the single-dimensional parameter adjustment in traditional wastewater treatment devices, achieving dynamic matching between stirring intensity and wastewater state. Normalization eliminates the dimensional differences between rotational speed and interception area, enabling multi-parameter collaborative control. The dynamic allocation mechanism of weighting coefficients enhances the system's adaptability to different water quality conditions, such as automatically reducing energy consumption under low-load conditions and optimizing shear force distribution in high-viscosity wastewater. The coordinated control of dual motors effectively suppresses mechanical vibration caused by the mismatch between rotational speed and interception area, extending the equipment's service life.

[0038] This application can accurately compensate for the error in the flow guide area caused by vibration, ensuring dynamic matching between the flow guide area and the current water quality, pollutants, and stirring state; effectively suppress the damage of mechanical vibration to the floc structure and improve solid-liquid separation efficiency; reduce fatigue damage to the connecting parts of the stirring mechanism caused by high-frequency vibration and extend the service life of the equipment; and automatically optimize the flow guide area while ensuring the treatment effect by introducing a vibration attenuation factor, avoiding operational instability caused by the lag of manual intervention. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the structure provided by the present invention;

[0040] Figure 2 A cross-sectional structural diagram of the connecting sleeve provided by the present invention;

[0041] Figure 3 This is a schematic diagram of the structure of the stirring orifice plate and the regulating assembly in this invention;

[0042] Figure 4 This is a schematic diagram of the stirring and dispersion optimization system of the present invention.

[0043] In the attached diagram: 1. Processing cylinder; 2. Motor No. 1; 3. Connecting sleeve; 4. Stirring orifice plate; 5. Adjusting component; 51. Sliding orifice plate; 52. Motor No. 2; 6. Drive component; 61. Motor No. 3; 62. Drive wheel; 63. Driven wheel; 7. Vibration damping component; 71. Electric telescopic rod; 72. Elastic pressure plate; 8. Inlet; 9. Outlet; 10. Connecting rod; 11. Flocculant storage cylinder; 12. Acid-base neutralization liquid storage cylinder. Detailed Implementation

[0044] 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.

[0045] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0046] like Figures 1-4 As shown, a wastewater treatment device for canning processing provided in one embodiment of the present invention includes a treatment cylinder 1, which is connected to an inlet 8 and an outlet 9. A No. 1 motor 2 is connected to the middle position of the bottom of the treatment cylinder 1. The output shaft of the No. 1 motor 2 is fixedly connected to a connecting sleeve 3. Several connecting rods 10 are rotatably connected to the connecting sleeve 3. One end of each connecting rod 10 is fixedly connected to a stirring perforated plate 4. All stirring perforated plates 4 have the same inclination angle. An adjustment component 5 is provided on the stirring perforated plate 4 for adjusting the flow area of ​​the guide holes on the stirring perforated plate 4.

[0047] The connecting sleeve 3 is provided with a driving component 6, which can simultaneously drive all connecting rods 10 to rotate, thereby changing the cross-sectional area of ​​all stirring orifice plates 4 in the vertical direction; the connecting sleeve 3 is also provided with a vibration damping component 7, which is used to dampen the vibration of all stirring orifice plates 4.

[0048] The upper part of the treatment cylinder 1 is provided with a flocculant storage cylinder 11 and an acid-base neutralization liquid storage cylinder 12, and both the flocculant storage cylinder 11 and the acid-base neutralization liquid storage cylinder 12 are provided with electromagnetic shut-off valves.

[0049] A stirring and dispersion optimization system, comprising:

[0050] The data acquisition module is used to acquire information on the viscosity, temperature, and pH of wastewater, as well as information on the density and aggregation of suspended solids, and information on the stirring speed and interception area of ​​the orifice plate 4.

[0051] The water quality status module constructs a water quality status model based on the viscosity, temperature, and pH information of wastewater and outputs water quality status coefficients.

[0052] The pollutant state module constructs a pollutant state model based on the density and aggregation information of suspended solids in wastewater and outputs pollutant state coefficients.

[0053] The stirring state module constructs a stirring state model based on the stirring speed and cross-sectional area of ​​the stirring orifice plate 4, and outputs the stirring state coefficients.

[0054] The flow area adjustment module constructs a flow area adjustment model based on the current water quality state coefficient, pollutant state coefficient, and stirring state coefficient. It outputs the target flow area of ​​the flow holes and controls the adjustment component 5 to make adjustments. By dynamically adjusting the flow area of ​​the flow holes on the stirring orifice plate 4 through the adjustment component 5, the mixing efficiency and equipment safety are balanced.

[0055] In this embodiment, wastewater is introduced into treatment cylinder 1, flocculant storage cylinder 11 is opened, and flocculant is added to the wastewater. During the flocculation reaction, acid-base neutralization liquid storage cylinder 12 can be opened, and hydrochloric acid solution is added to the wastewater to adjust the pH to neutral. According to the volume of wastewater in treatment cylinder 1, the drive component 6 is activated to adjust the tilt angle of each stirring orifice plate 4, thereby adjusting the flow area of ​​the stirring orifice plate 4. The first motor 2 is started, and all stirring orifice plates 4 are driven to mix and stir the wastewater through the connecting sleeve 3. During this process, the flow area adjustment module constructs a flow area adjustment model based on the current water quality state coefficient, pollutant state coefficient, and stirring state coefficient, outputs the target flow area of ​​the flow orifice, and controls the adjustment component 5 to make adjustments.

[0056] Specifically, the data acquisition module refers to the sensor network, used to collect water quality parameters in real time. The water quality status module refers to the data processing unit, which converts viscosity, temperature, and pH values ​​into comprehensive coefficients using a normalization algorithm. The flow area adjustment module refers to the control unit, which calculates the target flow area based on the status coefficients and drives the adjustment component 5 to execute.

[0057] Motor 2 drives the connecting sleeve 3 to rotate, which in turn drives multiple connecting rods 10 to rotate synchronously, causing all the stirring orifice plates 4 to form laminar shear at the same inclination angle. When the viscosity of the wastewater increases, the viscosity sensor triggers a signal, the data acquisition module collects the current parameters and inputs them into the water quality state model, and the output coefficient increases; the pollutant state module detects an increase in suspended solids density, and the output coefficient increases synchronously; the flow guide area adjustment module calculates the need to expand the flow guide area based on the coefficient ratio, and controls Motor 52 to push the sliding orifice plate 51 to move, increasing the coverage area of ​​the through holes to reduce fluid resistance. At the same time, the drive assembly 6 adjusts the angle of the connecting rods 10 through the gear set, increasing the vertical projection area of ​​the stirring orifice plate 4 and enhancing the probability of floc collision. The elastic pressure plate 72 of the vibration damping assembly 7 abuts against the driven wheel 63 in real time, absorbing high-frequency vibration energy and preventing the floc structure from breaking. The system achieves dynamic matching between stirring intensity and wastewater state by periodically collecting data, updating model parameters, and adjusting the flow guide area and interception area.

[0058] Compared to existing technologies, traditional mixing devices use fixed blades or a single speed regulation mode, which cannot adaptively adjust according to parameters such as wastewater viscosity and pollutant aggregation. This solution uses multiple sensors to monitor water quality in real time, and combines a dual adjustment mechanism of guiding area and intercepting area to automatically reduce fluid resistance under high viscosity conditions and increase contact area under low aggregation conditions, significantly improving mixing uniformity. In addition, the synergistic effect of the elastic pressure plate 72 and the vibration sensor effectively suppresses the damage of mechanical vibration to the flocs, a type of active vibration reduction design lacking in existing technologies.

[0059] like Figure 3 As shown, in a preferred embodiment of the present invention, the adjusting component 5 includes a sliding orifice plate 51 and a second motor 52. The sliding orifice plate 51 is slidably connected in the stirring orifice plate 4, and the stirring orifice plate 4 is fixedly connected to the second motor 52. The second motor 52 is threadedly connected to the sliding orifice plate 51, and the second motor 52 is provided with a sealed outer shell. The through holes on the sliding orifice plate 51 correspond one-to-one with the guide holes on the stirring orifice plate 4.

[0060] In this embodiment, the second motor 52 is started. The second motor 52 drives the sliding orifice plate 51 to slide on the stirring orifice plate 4 through meshing transmission. As the sliding orifice plate 51 moves, the flow guiding area of ​​the guide hole on the stirring orifice plate 4 gradually changes under the separation of the through holes on the sliding orifice plate 51. Thus, the flow guiding area of ​​the guide hole on the stirring orifice plate 4 can be controlled by adjusting the adjustment component 5.

[0061] Compared with existing technologies, the guide holes of traditional stirring devices are fixed structures, which cannot adjust the guide area according to changes in sewage viscosity or pollutant load. This leads to increased flow resistance and energy consumption under high viscosity conditions, while causing ineffective circulation under low load conditions. This solution uses a dynamic matching mechanism between the sliding orifice plate 51 and the guide holes to enable the guide area to be adjusted in real time according to the operating conditions, optimizing the balance between fluid shear force and energy consumption.

[0062] Through the above technical solutions, this application solves the problems of low mixing efficiency and excessive energy consumption caused by a fixed flow guide area. The linear displacement control of the sliding orifice plate 51 enables continuous adjustment of the flow guide area, allowing wastewater of different viscosities to obtain suitable flow channels. The protective design of the sealed shell extends the service life of the second motor 52 in humid and corrosive environments. The corresponding structure of the through holes and flow guide holes avoids turbulent disturbances caused by abrupt changes in the flow channel during adjustment, ensuring the stability of the flocculation process.

[0063] like Figure 2 As shown, in a preferred embodiment of the present invention, the drive assembly 6 includes a No. 3 motor 61, a drive wheel 62, and a driven wheel 63;

[0064] The No. 3 motor 61 is fixedly connected to the inner top surface of the connecting sleeve 3. The output shaft of the No. 3 motor 61 is fixedly connected to the driving wheel 62. The connecting rod 10 is fixedly connected to a driven wheel 63 at one end inside the connecting sleeve 3. All driven wheels 63 mesh with the driving wheel 62.

[0065] In this embodiment, motor 61 is started, which drives the drive wheel 62 to rotate. The drive wheel 62 drives all driven wheels 63 to rotate through meshing transmission. All driven wheels 63 drive all stirring orifice plates 4 to rotate through connecting rod 10, thereby controlling the cross-sectional area of ​​stirring orifice plates 4 in the processing cylinder 1.

[0066] Through the above technical solution, this application solves the problem of difficult synchronous adjustment of multiple stirring orifice plates 4, realizes uniform adjustment of the interception area, effectively improves mixing efficiency and reduces energy consumption. The gear meshing transmission method further ensures the reliability and stability of the drive system, avoids fluid disturbance caused by asynchronous transmission, and provides a uniform shear force distribution for the sewage treatment process.

[0067] like Figure 2 As shown, in a preferred embodiment of the present invention, the vibration damping component 7 includes an electric telescopic rod 71 and an elastic pressure plate 72. The electric telescopic rod 71 is fixedly connected to the bottom surface of the connecting sleeve 3. The output shaft of the electric telescopic rod 71 is fixedly connected to the elastic pressure plate 72. The elastic pressure plate 72 is conical and can elastically abut against all driven wheels 63.

[0068] In this embodiment, the electric telescopic rod 71 is activated to extend, and the electric telescopic rod 71 drives the elastic pressure plate 72 to elastically abut against all driven wheels 63. Under the elastic force of the elastic pressure plate 72, the vibration frequency of the stirring orifice plate 4 during stirring can be reduced, thereby improving the stability of the stirring orifice plate 4 during stirring.

[0069] Specifically, the axial extension and retraction of the electric telescopic rod 71 causes the conical elastic pressure plate 72 to produce a vertical displacement. When the stirring system vibrates due to uneven medium or high-speed rotation, the contact pressure between the elastic pressure plate 72 and the driven wheel 63 dynamically adjusts with the vibration intensity. The conical structure allows the elastic pressure plate 72 to form surface contact with multiple driven wheels 63 rather than point contact, and the vibration energy is converted into heat energy and dissipated through the compression deformation of the elastic material. The cone apex angle of the elastic pressure plate 72 is set to match the circumferential angle of the driven wheels 63, ensuring that all driven wheels 63 can maintain continuous elastic contact with the elastic pressure plate 72 during rotation, thereby blocking the transmission path of vibration along the transmission chain to the drive system.

[0070] Compared with existing technologies, traditional vibration reduction methods typically use fixed dampers or passive rubber pads, which cannot adjust damping parameters in real time according to vibration intensity, and are prone to vibration reduction failure due to wear of contact surfaces under high-speed rotation conditions. This solution actively adjusts the contact pressure through an electric telescopic rod 71, combined with the multi-point synchronous contact characteristics of the conical elastic pressure plate 72, to achieve dynamic matching between vibration suppression effect and equipment operating status, while avoiding the transmission accuracy loss caused by traditional rigid contact.

[0071] In a preferred embodiment of the present invention, the inner wall of the treatment cylinder 1 is provided with a viscosity sensor, a temperature sensor, and a pH sensor. The viscosity, temperature, and pH values ​​of the wastewater are obtained through the viscosity sensor, temperature sensor, and pH sensor in the treatment cylinder 1. The viscosity value is normalized using a maximum value normalization formula to obtain a viscosity index. The absolute value of the difference between the real-time temperature value and the optimal temperature value is taken and then divided by the difference between the historical maximum temperature value and the minimum temperature value to obtain a temperature index. The absolute value of the difference between the real-time pH value and the optimal pH value is taken and then divided by the difference between the historical maximum pH value and the minimum pH value to obtain a pH index.

[0072] The water quality state model is as follows:

[0073] ;

[0074] in , as well as All are weighting coefficients, satisfying ,and , as well as All greater than Specifically, different values ​​can be set based on historical data or experimental calibration. Viscosity index Temperature index pH index This is the water quality state coefficient.

[0075] In this embodiment, a viscosity sensor is a device used to detect the flow resistance of wastewater in real time, quantifying the impact of wastewater mixing resistance on stirring intensity. A temperature sensor is an element that monitors the thermodynamic state of wastewater, assessing the interference of temperature changes on the flocculation reaction rate. A pH sensor is a probe that detects the acidity or alkalinity of wastewater, determining the stability of the chemical reaction environment. The maximum value normalization formula divides the original viscosity data by the historical maximum viscosity value, eliminating dimensional differences and generating a viscosity index within the range of 0 to 1. The temperature index is calculated by using the ratio of the absolute deviation of the real-time temperature from the preset optimal temperature to the historical temperature fluctuation range, reflecting the degree to which the current temperature deviates from the ideal state. The pH index is calculated by using the ratio of the absolute deviation of the real-time pH value from the preset optimal pH value to the historical pH fluctuation range, quantifying the potential risk of abnormal acidity or alkalinity to the treatment effect.

[0076] Specifically, viscosity, temperature, and pH sensors are integrated into the inner wall of the treatment cylinder 1 to collect wastewater physicochemical parameters in real time. Viscosity data is normalized to its maximum value, converting it into a dimensionless viscosity index to avoid interference from parameters of different dimensions on the model input. Temperature and pH values ​​are calculated using indices based on deviations from preset optimal values, reflecting both the degree of deviation between current operating conditions and ideal conditions, and standardizing them by incorporating historical data ranges to ensure horizontal comparability of different parameters. The water quality state model employs a linear weighted fusion method, combining the viscosity index, temperature index, and pH index into a single water quality state coefficient according to preset weighting coefficients. The allocation of weighting coefficients can be adjusted according to actual needs; for example, increasing the viscosity weight in high suspended solids concentration scenarios, or increasing the pH weight in the biological treatment stage, thereby dynamically optimizing the priority of stirring parameter adjustments.

[0077] Compared to existing technologies, traditional wastewater treatment devices typically rely on adjusting the stirring intensity based on a single parameter or human experience, failing to comprehensively assess the multidimensional characteristics of water quality. For example, existing technologies may only monitor pH or temperature, but lack a quantitative model that couples multiple parameters, resulting in insufficient accuracy in matching stirring parameters with water quality conditions. This solution, through multi-sensor collaborative sensing and normalization processing, integrates parameters with different dimensions and influence dimensions into a unified water quality state coefficient, solving the problems of isolated parameters and lagging control in traditional methods.

[0078] Through the above technical solution, this application achieves dynamic sensing and comprehensive evaluation of wastewater physicochemical parameters, providing a precise basis for real-time adjustment of mixing intensity and flow guide area. Normalization eliminates dimensional differences in parameters, ensuring consistency of model input; a weighted fusion model quantifies the influence of different water quality factors on the mixing effect, making the flow guide area adjustment more closely match actual operating conditions. This solves the problems of uneven mixing, low flocculation efficiency, and excessive energy consumption caused by incomplete water quality parameter sensing and inaccurate evaluation in traditional technologies.

[0079] In a preferred embodiment of the present invention, the density and aggregation degree of suspended solids in wastewater are normalized by the maximum and minimum value normalization formula, and a density index and an aggregation degree index are generated.

[0080] The pollutant state model is as follows:

[0081] ;

[0082] in , All are weighting coefficients, satisfying ,and , All greater than , The density index represents the density of suspended matter. Indicating the aggregation degree index of suspended matter, This represents the pollutant state coefficient.

[0083] In this embodiment, the maximum and minimum value normalization formula maps the original data to the [0,1] interval through a linear transformation, eliminating the dimensional differences between density and aggregation. The density index is the normalized value of the ratio of suspended solids mass to wastewater volume. Specifically, it can be generated by real-time data acquisition and calculation using a density sensor, used to quantify pollutant concentration. The aggregation index is the normalized value of the uniformity of suspended solids distribution in wastewater. It can be generated by capturing the average size, number, or settling rate parameters of flocculent particles using an online imaging system, and then normalizing them. A higher aggregation index indicates better flocculation of suspended solids and easier sedimentation and separation. Weighting coefficients. , These are parameters used to adjust the influence of density and aggregation on the state of pollutants. They can be set to different values ​​based on historical data or experimental calibration.

[0084] Specifically, suspended solids density data is collected in real time using an online density meter and then normalized using a maximum-minimum method. For example, when the current density value is detected as a historical maximum, the density index is mapped to 1; when a minimum value is detected, it is mapped to 0. Aggregation data is obtained by using an image analysis system to capture the distribution of suspended particles, and after calculating the standard deviation, it is also normalized. In the pollutant state model, the density index directly participates in the calculation, while the aggregation index is determined through... The form is involved in the calculation. When the aggregation degree is high, the flocculation effect of suspended solids is better, and the easier it is for them to settle and separate. As the value of a pollutant decreases, the pollutant state coefficient also decreases, and the system automatically increases the mixing intensity accordingly. The weighting coefficient is dynamically adjusted based on the wastewater characteristics; for example, when treating high-concentration, low-aggregation wastewater, it can be set... 0.7 The value is set to 0.3 to make the model focus more on density parameters; when treating low-concentration, high-aggregation wastewater, it is adjusted to... 0.5 The value is 0.5, which strengthens the influence of clustering.

[0085] Compared to existing technologies, traditional methods adjust stirring intensity based on a single parameter, failing to consider the coupled effects of density and aggregation. This solution overcomes the limitations of single-parameter control by establishing a two-parameter normalized model that automatically compensates for increased aggregation intensity. Furthermore, while existing technologies often rely on offline laboratory analysis for aggregation detection, this solution utilizes online sensors for real-time data acquisition and model calculation, significantly improving response speed.

[0086] Through the above technical solution, this application can accurately quantify the influence of the physical state of suspended matter on the flocculation process and adjust the stirring parameters in real time according to the dynamic changes in density and aggregation degree. This solution effectively solves the problem of uneven mixing caused by incomplete parameter sensing in traditional devices.

[0087] In a preferred embodiment of the present invention, both the first motor 2 and the third motor 61 are electrically connected to a controller, which is electrically connected to a data processor. The controller controls the rotational speed of the first motor 2 and the rotational angle of the third motor 61, thereby calculating the rotational speed and cross-sectional area of ​​the stirring orifice plate 4. The rotational speed and cross-sectional area of ​​the stirring orifice plate 4 are normalized using the maximum and minimum normalization formulas, and the rotational speed index and cross-sectional area index are generated.

[0088] The stirring state model is as follows:

[0089]

[0090] in , All are weighting coefficients, satisfying ,and , All greater than , Indicates the speed index. This indicates the cross-sectional area index of the stirring orifice plate. This represents the stirring state coefficient.

[0091] In this embodiment, the controller refers to an electronic device used to receive sensor signals and output motor control commands. Specifically, it can be implemented using a PLC or an embedded microcontroller. Its function is to logically correlate water quality parameters with stirring parameters. The data processor refers to a computational unit that performs normalization operations on the collected data. Specifically, it can be implemented using a digital signal processor or an industrial computer to eliminate numerical differences between parameters of different dimensions. The maximum-minimum normalization formula is a standardization method that linearly maps the original data to the [0,1] interval. For example, dividing the rotational speed value by the historical maximum rotational speed value makes rotational speeds and cross-sectional area parameters of different dimensions comparable. Weighting coefficients. , This refers to a dynamic distribution parameter that reflects the influence of rotational speed and cross-sectional area on the stirring state. It can be specifically determined through machine learning algorithms or experimental calibration; for example, increasing the cross-sectional area when the suspended solids density is high. To enhance the regulation of the interception area.

[0092] Specifically, when the viscosity of the wastewater and the concentration of pollutants change, the controller adjusts the rotation speed of the stirring orifice plate 4 by adjusting the rotation speed of motor 2, while simultaneously driving motor 61 to rotate and change the angle of connecting rod 10, thereby adjusting the vertical interception area of ​​the stirring orifice plate 4. The data processor normalizes the real-time collected rotation speed and interception area data, for example, dividing the current rotation speed value by the maximum allowable rotation speed value to obtain the rotation speed index, and dividing the current interception area value by the maximum adjustable interception area to obtain the interception area index. The stirring state model dynamically allocates weight coefficients, for example, setting them in low-viscosity wastewater... =0.7、 =0.3 is adjusted with a focus on speed control, especially under high viscosity conditions. =0.4 =0.6 to enhance the control of the interception area, thereby generating a state coefficient that comprehensively reflects the current stirring intensity, providing a quantitative basis for subsequent adjustment of the guide area.

[0093] Compared to existing technologies, traditional mixing devices can only change the mixing intensity through a single speed adjustment, and cannot synchronously adjust the cross-sectional area of ​​the fluid channel according to changes in water quality. This solution achieves a dynamic balance between mixing speed and fluid resistance through dual-motor coordinated control. For example, when the density of suspended solids suddenly increases, the cross-sectional area can be reduced while increasing the speed to maintain reasonable shear force, avoiding the problems of floc breakage or uneven mixing caused by single parameter adjustment in traditional equipment. The static model with fixed weight coefficients in existing technologies has been improved into a calculation model that can dynamically allocate parameter weights, making the mixing state assessment more closely match the actual working conditions.

[0094] Through the above technical solutions, this application solves the problem of mixing efficiency fluctuations caused by the single parameter adjustment dimension in traditional sewage treatment devices, and achieves dynamic matching between stirring intensity and sewage state. Normalization eliminates the dimensional differences between rotational speed and interception area, making multi-parameter collaborative control possible. The dynamic allocation mechanism of weighting coefficients enhances the system's adaptability to different water quality conditions, such as automatically reducing energy consumption under low-load conditions and optimizing shear force distribution in high-viscosity sewage. The linkage control of dual motors effectively suppresses mechanical vibration caused by the mismatch between rotational speed and interception area, extending the equipment's service life.

[0095] In a preferred embodiment of the present invention, a vibration sensor is provided on the stirring orifice plate 4. The vibration sensor is used to detect the vibration frequency of the stirring orifice plate 4. After normalizing the vibration frequency using a maximum value normalization formula, a vibration frequency index is generated. The flow guide area adjustment model is as follows:

[0096] ;

[0097] in It is a proportionality constant. Greater than 0; The vibration attenuation coefficient is... Greater than 0, This reflects the suppression effect of vibration frequency on aperture. Indicates the frequency index. The vibration frequency influence factor, This is the water quality state coefficient. Represents the pollutant state coefficient. This represents the stirring state coefficient. This indicates the target flow guiding area of ​​the guide hole.

[0098] In this embodiment, the vibration sensor refers to a sensing device installed on or inside the stirring orifice plate 4 for real-time detection of mechanical vibration frequency. The maximum value normalization formula involves dividing the original vibration frequency data by the historical maximum vibration frequency value to standardize the vibration frequency exponent to the range of 0 to 1, eliminating dimensional differences under different operating conditions. The exponential function in the guide area adjustment model... To establish a vibration attenuation mechanism, λ is used as an adjustable vibration attenuation coefficient, which can be determined through experimental calibration or machine learning optimization, and is used to quantify the degree of influence of vibration on the adjustment of the guide area.

[0099] Specifically, the vibration sensor collects the vibration frequency data of the agitator orifice plate 4 in real time, which is then processed by the signal conditioning circuit and transmitted to the controller. The controller uses a maximum value normalization algorithm to convert the current vibration frequency value into a standardized vibration frequency index. This index, along with preset water quality state coefficients, pollutant state coefficients, and agitation state coefficients, is input into the flow area adjustment model. The model converts the vibration frequency index into a vibration attenuation factor through an exponential function. When the vibration frequency index increases, The decrease in the value of the term leads to a reduction in the calculated value of the target guiding area S. This dynamic adjustment mechanism automatically reduces the flow area of ​​the guide orifice under high vibration conditions, compensating for the measurement error of the guiding area caused by vibration and weakening the turbulence intensity by reducing the fluid flux, thus forming a positive feedback for vibration suppression. Simultaneously, the product of the water quality state coefficient and the pollutant state coefficient serves as the numerator, ensuring that wastewater treatment efficiency requirements are prioritized while controlling the impact of vibration, while the stirring state coefficient serves as the denominator, balancing the matching relationship between mechanical stirring intensity and guiding area.

[0100] Compared to existing technologies, traditional wastewater treatment mixing devices lack vibration monitoring and closed-loop control capabilities, relying solely on fixed vibration damping structures to passively absorb vibration energy, and are unable to dynamically adjust operating parameters based on real-time vibration conditions. Existing guide area adjustment mechanisms are prone to execution errors under vibration disturbances, and may induce secondary turbulence when vibration intensifies. This solution, through the synergistic effect of vibration sensors and adjustment models, incorporates vibration frequency parameters into the guide area control logic for the first time, achieving dynamic coupling control of vibration state and guide area, and solving the problem of mutual amplification between mechanical vibration and fluid disturbance.

[0101] 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 canning sewage treatment device comprising a treatment cylinder, characterized by, The middle position of the bottom of the processing cylinder is connected with a first motor, the output shaft of the first motor is fixedly connected with a connecting sleeve, the connecting sleeve is rotationally connected with a plurality of connecting rods, one end of each of the connecting rods is fixedly connected with a stirring hole plate, the inclination angles of all the stirring hole plates are the same, and the stirring hole plate is provided with an adjusting assembly for adjusting the flow area of the flow guide hole on the stirring hole plate; The connecting sleeve is provided with a driving assembly, the driving assembly can simultaneously drive all the connecting rods to rotate, so that the cross-sectional area of all the stirring hole plates in the vertical direction is changed; the connecting sleeve is also provided with a damping assembly, and the damping assembly is used for damping all the stirring hole plates; The stirring dispersion optimization system comprises: A data acquisition module is configured to acquire viscosity, temperature, and pH information of sewage, suspended matter density and aggregation information, and stirring speed and cross-sectional area information of the stirring hole plate; A water quality state module is configured to construct a water quality state model based on the viscosity, temperature, and pH information of the sewage, and output a water quality state coefficient; A pollutant state module is configured to construct a pollutant state model based on the suspended matter density and aggregation information of the sewage, and output a pollutant state coefficient; A stirring state module is configured to construct a stirring state model based on the stirring speed and cross-sectional area information of the stirring hole plate, and output a stirring state coefficient; A flow area adjustment module is configured to construct a flow area adjustment model based on the current water quality state coefficient, pollutant state coefficient, and stirring state coefficient, and output a target flow area of the flow guide hole and control the adjusting assembly to adjust.

2. The canning sewage treatment device according to claim 1, characterized by The adjusting assembly comprises a sliding hole plate and a second motor, the sliding hole plate is slidingly connected in the stirring hole plate, the stirring hole plate is fixedly connected with the second motor, the second motor is threadedly connected with the sliding hole plate, the second motor is externally provided with a sealing shell, and the through holes on the sliding hole plate correspond to the flow guide holes on the stirring hole plate one by one.

3. The canning sewage treatment device according to claim 1, characterized by The driving assembly comprises a third motor, a driving wheel, and a driven wheel; The third motor is fixedly connected with the inner top surface of the connecting sleeve, the output shaft of the third motor is fixedly connected with the driving wheel, one end of each of the connecting rods is fixedly connected with the driven wheel on the inner side of the connecting sleeve, and all the driven wheels are in mesh with the driving wheel.

4. The canning sewage treatment device according to claim 1, characterized by The damping assembly comprises an electric telescopic rod and an elastic pressing plate, the electric telescopic rod is fixedly connected with the bottom surface of the connecting sleeve, the output shaft of the electric telescopic rod is fixedly connected with the elastic pressing plate, the elastic pressing plate is conical, and the elastic pressing plate can elastically abut against all the driven wheels.

5. The canning sewage treatment apparatus according to claim 3, characterized by The inner wall of the processing cylinder is provided with a viscosity sensor, a temperature sensor, and a pH sensor, the current viscosity value, temperature value, and pH value of the sewage are acquired by the viscosity sensor, temperature sensor, and pH sensor in the processing cylinder; The viscosity value is normalized by a maximum value normalization formula to obtain a viscosity index; The absolute value of the difference between the real-time temperature value and the optimal temperature value is obtained, and then the difference between the historical maximum temperature value and the minimum temperature value is divided to obtain a temperature index; the absolute value of the difference between the real-time pH value and the optimal pH value is obtained, and then the difference between the historical maximum pH value and the minimum pH value is divided to obtain a pH index; The water quality state model is: ； wherein , and are weight coefficients, satisfying , and , and are greater than , is a viscosity index, is a temperature index, is a pH index, is a water quality state coefficient.

6. The canning sewage treatment device according to claim 5, characterized by The density and the aggregation degree of the suspended solids in the sewage are normalized by a maximum-minimum value normalization formula respectively, and a density index and an aggregation degree index are generated; The pollutant state model is: ； wherein , are weight coefficients, satisfying , and , are greater than , denotes the density index of the suspended matter, denotes the aggregation index of the suspended matter, denotes the pollutant state coefficient.

7. The canning sewage treatment apparatus according to claim 6, characterized by The first motor and the third motor are electrically connected to the controller, and the controller is electrically connected to the data processor. The speed of the first motor and the rotation angle of the third motor are controlled by the controller, so that the speed of the stirring hole plate and the cross-sectional area can be calculated. The speed of the stirring hole plate and the cross-sectional area are normalized by a maximum-minimum value normalization formula respectively, and a speed index and a cross-sectional area index are generated. The stirring state model is: wherein , are weight coefficients, satisfying , and , are greater than , denotes the rotational speed index, denotes the intercept area index of the stirring orifice plate, denotes the stirring state coefficient.

8. The canning sewage treatment device according to claim 7, characterized by The stirring hole plate is provided with a vibration sensor, and the vibration sensor is used for detecting the vibration frequency of the stirring hole plate. The vibration frequency is normalized by a maximum value normalization formula to generate a vibration frequency index. The diversion area adjustment model is: ； wherein is a proportionality constant, is greater than 0; is a coefficient of vibration attenuation, is greater than 0; represents a vibration frequency index, is a water quality state coefficient, represents a pollutant state coefficient, represents a stirring state coefficient, represents a target flow area of the flow guide hole.

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