Sewage treatment device for can processing

Abstract

The invention is applicable to the field of sewage treatment, and provides a sewage treatment device for can processing, which comprises a treatment cylinder, the treatment cylinder is communicated with a water inlet and a water outlet, the middle position of the bottom of the treatment cylinder is connected with a first motor, and an output shaft of the first motor is fixedly connected with a connecting sleeve. The connecting sleeve is rotatably connected with a plurality of connecting rods, one end of each connecting rod is fixedly connected with a stirring hole plate, the inclination angles of all the stirring hole plates are the same, and the stirring hole plates are provided with adjusting assemblies used for adjusting the flow guide areas of flow guide holes in the stirring hole plates. According to the method, the complex sewage treatment parameters are quantified by constructing the three state coefficients including the water quality state coefficient, the pollutant state coefficient and the stirring state coefficient, and a powerful tool is provided for monitoring, diagnosis, prediction and control of the sewage treatment process.

Description

Technical Field

[0001] The invention belongs to the field of sewage treatment, and in particular relates to a sewage treatment device for canning. Background Art

[0002] The production and processing of canned foods generates large amounts of wastewater with complex compositions and high concentrations of pollutants. This wastewater often contains high concentrations of organic matter, such as sugars, starches, oils, and proteins, as well as various food additives and detergents. It is also rich in suspended solids (SS) and exhibits high viscosity. Therefore, efficient and stable pretreatment is crucial for subsequent advanced treatment and ultimately for achieving standard discharge.

[0003] In existing canned food processing wastewater treatment processes, physical treatment (such as sedimentation and flotation) and biochemical treatment are common methods. Mechanical agitation, which thoroughly mixes the wastewater with the reagents and promotes the coagulation and flocculation of suspended solids, is a crucial step. Currently, the commonly used agitators are mostly fixed-blade or simple adjustable-speed agitators, which have significant limitations:

[0004] First, the stirring intensity is fixed or the adjustment dimension is single, and it is impossible to adaptively adjust the fluid shear force and flow area according to the dynamic changes of the influent water quality (such as viscosity, pollutant density and aggregation), resulting in uneven mixing and poor flocculation effect under high viscosity or high load conditions, and energy waste at low load; secondly, traditional agitators are prone to violent vibration and turbulence when rotating at high speed or processing uneven media, which not only generates noise and shortens the life of the equipment, but also may destroy the formed flocs and affect the sedimentation and separation effect; thirdly, the existing technology lacks the coordinated perception and intelligent linkage control of the stirring state (such as rotation speed, interception area) and the real-time water quality and pollutant status. The stability and efficiency of the entire treatment process are overly dependent on the experience of the operator.

[0005] In view of the above problems, the existing technology is in urgent need of improvement. Summary of the Invention

[0006] The purpose of the embodiment of the present invention is to provide a canned food processing wastewater treatment device, aiming to solve the problem that the existing canned food processing wastewater treatment device has low flocculation efficiency and poor effect when treating wastewater.

[0007] The present invention is achieved by a canned food processing wastewater treatment device, comprising a treatment drum, the treatment drum being connected to a water inlet and a water outlet, a No. 1 motor being connected to the middle position of the bottom of the treatment drum, the No. 1 motor having an output shaft fixedly connected to a connecting sleeve, the connecting sleeve being rotatably connected to a plurality of connecting rods, one end of each connecting rod being fixedly connected to a stirring orifice plate, all stirring orifice plates having the same inclination angle, and an adjustment component being provided on the stirring orifice plate for adjusting the diversion area of ​​the diversion holes on the stirring orifice plate;

[0008] The connecting sleeve is provided with a driving assembly, 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 provided with a vibration reduction assembly, which is used to reduce vibration of all stirring orifice plates;

[0009] A flocculant storage cylinder and an acid-base neutralization liquid storage cylinder are provided on the upper part of the treatment cylinder, and both the flocculant storage cylinder and the acid-base neutralization liquid storage cylinder are provided with electromagnetic shut-off valves;

[0010] Stirring and dispersion optimization system, which includes:

[0011] The data acquisition module is used to obtain information on the viscosity, temperature, and pH value of sewage, the density and aggregation of suspended solids, the stirring speed and cross-sectional area of ​​the stirring orifice plate;

[0012] The water quality status module builds a water quality status model based on the viscosity, temperature and pH value information of the sewage and outputs the water quality status coefficient;

[0013] The pollutant state module builds a pollutant state model based on the suspended matter density and aggregation information in the sewage and outputs the pollutant state coefficient;

[0014] The stirring state module builds a stirring state model based on the stirring speed and cross-sectional area of ​​the stirring orifice plate and outputs the stirring state coefficient;

[0015] The diversion area adjustment module builds a diversion area adjustment model based on the current water quality state coefficient, pollutant state coefficient and stirring state coefficient, outputs the target diversion area of ​​the diversion hole and controls the adjustment component to make adjustments. The adjustment component dynamically adjusts the diversion area of ​​the diversion hole on the stirring orifice plate to balance mixing efficiency and equipment safety.

[0016] A further technical solution is that the adjustment component includes a sliding orifice plate and a No. 2 motor, the sliding orifice plate is slidably connected to the stirring orifice plate, the stirring orifice plate is fixedly connected to the No. 2 motor, the No. 2 motor is threadedly connected to the sliding orifice plate, and a sealed shell is provided on the outside of the No. 2 motor, and the through holes on the sliding orifice plate correspond one-to-one to the guide holes on the stirring orifice plate.

[0017] According to a further technical solution, the driving assembly includes a third motor, a driving wheel and a driven wheel;

[0018] The third motor is fixedly connected to the inner top surface of the connecting sleeve, the output shaft of the third motor is fixedly connected to the driving wheel, and one end of the connecting rod on the inner side of the connecting sleeve is fixedly connected to the driven wheel, and all the driven wheels are engaged with the driving wheel.

[0019] A further technical solution is that the vibration damping assembly 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 is that the inner wall of the treatment barrel is provided with a viscosity sensor, a temperature sensor and a pH sensor, and the current viscosity value, temperature value and pH value of the sewage are obtained through the viscosity sensor, temperature sensor and pH sensor in the treatment barrel; the viscosity value is normalized by a maximum 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;

[0021] The water quality state model is:

[0022] ;

[0023] in 、 as well as Are weight coefficients, satisfying ,and 、 as well as Both greater than , is the viscosity index, is the temperature index, is the pH index, is the water quality coefficient.

[0024] A further technical solution is to normalize the density and aggregation of suspended solids in sewage respectively through the maximum and minimum value normalization formula, and generate a density index and an aggregation index;

[0025] The pollutant state model is:

[0026] ;

[0027] in 、 Are weight coefficients, satisfying ,and 、 Both greater than , represents the density index of suspended matter, The aggregation index of suspended matter is Represents the pollutant state coefficient.

[0028] A further technical solution is that 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. The controller controls the speed of the No. 1 motor and the rotation angle of the No. 3 motor, thereby measuring the speed and cross-sectional area of ​​the stirring orifice plate. The speed and cross-sectional area of ​​the stirring orifice plate are normalized respectively by a maximum and minimum normalization formula, and a speed index and a cross-sectional area index are generated.

[0029] The stirring state model is:

[0030]

[0031] in 、 Are weight coefficients, satisfying ,and 、 Both greater than , represents the speed index, Represents the cross-sectional area index of the stirring orifice plate, Indicates the stirring state coefficient.

[0032] A further technical solution is that a vibration sensor is provided on the stirring orifice plate, and the vibration sensor is used to detect the vibration frequency of the stirring orifice plate. The vibration frequency is normalized by the maximum normalization formula to generate a vibration frequency index. The diversion area adjustment model is:

[0033] ;

[0034] in is the proportionality constant, greater than 0; is the vibration attenuation coefficient, greater than 0, reflecting the inhibitory effect of vibration frequency on aperture; represents the frequency index, is the vibration frequency influencing factor, is the water quality coefficient, represents the pollutant state coefficient, represents the stirring state coefficient, Target flow area of the flow guide hole.

[0035] Compared with the prior art, the present application has the following advantages:

[0036] The present application realizes intelligent dynamic adjustment of stirring parameters in the sewage treatment process, solves the problems of low mixing efficiency, high energy consumption and vibration damage to floc of the traditional device. The linkage control of flow area and interception area accurately matches the fluid shear force and the sewage state, improves the flocculation effect; the vibration reduction assembly reduces the structural vibration of the equipment during operation, ensures the integrity of the floc; the closed-loop control mechanism of the multi-parameter model optimizes the energy utilization rate and avoids resource waste under low load conditions.

[0037] The present application solves the problem of fluctuation of mixing efficiency caused by single parameter adjustment dimension of the traditional sewage treatment device, realizes dynamic matching of stirring intensity and sewage state. The dimensional difference between rotational speed and interception area is eliminated through normalization processing, making multi-parameter collaborative control possible. The dynamic allocation mechanism of weight coefficient enhances the adaptability of the system 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 double motors effectively suppresses mechanical vibration caused by mismatch between rotational speed and interception area, prolongs the service life of the equipment.

[0038] The present application can accurately compensate for the flow area execution error caused by vibration, ensure the dynamic matching of the flow area of the flow guide hole with the current water quality, pollutants and stirring state; effectively suppress the damage of mechanical vibration to the structure of flocculation body, improve the solid-liquid separation efficiency; reduce the fatigue damage of high-frequency vibration to the connecting piece of the stirring mechanism, prolong the service life of the equipment; by introducing the vibration attenuation factor, the flow area is automatically optimized under the premise of ensuring the treatment effect, avoiding the operation instability caused by the lag of manual intervention. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 The structural schematic diagram provided by the present application is shown in the figure;

[0040] Figure 2 The cross-sectional structure schematic diagram of the connecting sleeve provided by the present application is shown in the figure;

[0041] Figure 3 The structural schematic diagram of the stirring hole plate and the adjusting assembly in the present application is shown in the figure;

[0042] Figure 4 The flowchart of the stirring dispersion optimization system of the present application is shown in the figure.

[0043] In the attached figure: 1. Treatment cylinder; 2. Motor No. 1; 3. Connecting sleeve; 4. Stirring orifice plate; 5. Adjustment assembly; 51. Sliding orifice plate; 52. Motor No. 2; 6. Driving assembly; 61. Motor No. 3; 62. Driving wheel; 63. Driven wheel; 7. Vibration reduction assembly; 71. Electric telescopic rod; 72. Elastic pressure plate; 8. Water inlet; 9. Water outlet; 10. Connecting rod; 11. Flocculant storage cylinder; 12. Acid-base neutralization liquid storage cylinder. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present 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 only used to explain the present invention and are not intended to limit the present invention.

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

[0046] like Figures 1-4 As shown, a canned food processing wastewater treatment device provided by one embodiment of the present invention includes a treatment barrel 1, the treatment barrel 1 is connected to a water inlet 8 and a water outlet 9, a No. 1 motor 2 is connected to the middle position of the bottom of the treatment barrel 1, the output shaft of the No. 1 motor 2 is fixedly connected to a connecting sleeve 3, and the connecting sleeve 3 is rotatably connected to a plurality of connecting rods 10, one end of each of the connecting rods 10 is fixedly connected to a stirring orifice plate 4, all of the stirring orifice plates 4 have the same inclination angle, and the stirring orifice plates 4 are provided with an adjustment component 5 for adjusting the diversion area of ​​the diversion holes on the stirring orifice plates 4;

[0047] The connecting sleeve 3 is provided with a driving assembly 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 reduction assembly 7, which is used to reduce 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] Stirring and dispersion optimization system, which includes:

[0050] A data acquisition module is used to obtain information on the viscosity, temperature, and pH value of sewage, the density and aggregation of suspended solids, and the stirring speed and cross-sectional area of ​​the stirring orifice plate 4;

[0051] The water quality status module builds a water quality status model based on the viscosity, temperature and pH value information of the sewage and outputs the water quality status coefficient;

[0052] The pollutant state module builds a pollutant state model based on the suspended matter density and aggregation information in the sewage and outputs the pollutant state coefficient;

[0053] A 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 a stirring state coefficient;

[0054] The diversion area adjustment module constructs a diversion area adjustment model based on the current water quality state coefficient, pollutant state coefficient and stirring state coefficient, outputs the target diversion area of ​​the diversion hole and controls the adjustment component 5 to make adjustments. The adjustment component 5 dynamically adjusts the diversion area of ​​the diversion hole on the stirring hole plate 4 to balance the mixing efficiency and equipment safety.

[0055] In this embodiment, sewage is introduced into the treatment barrel 1, the flocculant storage barrel 11 is opened, and flocculant is added to the sewage. During the flocculation reaction, the acid-base neutralization liquid storage barrel 12 can be opened, and hydrochloric acid solution is added to the sewage to adjust the pH to neutral; according to the volume of sewage in the treatment barrel 1, the driving component 6 is started to adjust the inclination angle of each stirring hole plate 4, thereby adjusting the intercepting area of ​​the stirring hole plate 4; the No. 1 motor 2 is started, and all the stirring holes 4 are driven by the connecting sleeve 3 to mix and stir the sewage; in this process, the diversion area adjustment module constructs a diversion area adjustment model based on the current water quality state coefficient, pollutant state coefficient and stirring state coefficient, outputs the target diversion area of ​​the diversion hole 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 is a data processing unit that converts viscosity, temperature, and pH into comprehensive coefficients using a normalization algorithm. The drainage area adjustment module is a control unit that calculates the target drainage area based on the status coefficients and drives the adjustment component 5 to execute.

[0057] Motor 1 (2) drives the connecting sleeve (3) to rotate, driving the multiple connecting rods (10) to rotate synchronously, ensuring that all agitation orifice plates (4) maintain the same inclination angle, creating laminar shear flow. When wastewater viscosity increases, the viscosity sensor triggers a signal, and the data acquisition module collects the current parameters and inputs them into the water quality model, increasing the output coefficient. The pollutant status module detects an increase in suspended solids density and simultaneously increases the output coefficient. The diversion area adjustment module calculates the need for expansion based on the coefficient ratio and controls motor 2 (52) to displace the sliding orifice plate (51), increasing the through-hole coverage area and reducing fluid resistance. Simultaneously, the drive assembly (6) uses a gear train to adjust the angle of the connecting rod (10), increasing the vertical projection area of ​​the agitation orifice plates (4) and enhancing the probability of floc collision. The elastic pressure plate (72) of the vibration damping assembly (7) abuts the driven wheel (63) in real time, absorbing high-frequency vibration energy and preventing floc structure disruption. The system dynamically matches agitation intensity to wastewater conditions by periodically collecting data, updating model parameters, and adjusting the diversion and interception areas.

[0058] Compared to existing technologies, traditional agitators use fixed blades or a single speed control mode, making them unable to adaptively adjust to parameters such as sewage viscosity and pollutant concentration. This solution uses multiple sensors to monitor water quality in real time. Incorporating a dual adjustment mechanism for diversion and interception areas, this solution automatically reduces fluid resistance under high-viscosity conditions and increases contact area under low-concentration conditions, significantly improving mixing uniformity. Furthermore, the synergistic effect of the elastic pressure plate 72 and the vibration sensor effectively suppresses mechanical vibration damage to the flocs, a feature lacking in existing technologies.

[0059] like Figure 3 As shown, as a preferred embodiment of the present invention, the adjustment component 5 includes a sliding orifice plate 51 and a No. 2 motor 52, the sliding orifice plate 51 is slidably connected to the stirring orifice plate 4, the stirring orifice plate 4 is fixedly connected to the No. 2 motor 52, the No. 2 motor 52 is threadedly connected to the sliding orifice plate 51, and a sealed shell is provided on the outside of the No. 2 motor 52, and the through holes on the sliding orifice plate 51 correspond one-to-one to the guide holes on the stirring orifice plate 4.

[0060] In this embodiment, the No. 2 motor 52 is started, and the No. 2 motor 52 pushes the sliding orifice plate 51 to slide on the stirring orifice plate 4 through the meshing transmission. As the sliding orifice plate 51 moves, the diversion area of ​​the diversion hole on the stirring orifice plate 4 gradually changes under the separation of the through holes on the sliding orifice plate 51, so that the diversion area of ​​the diversion hole of the stirring orifice plate 4 can be controlled by adjusting the adjustment component 5.

[0061] Compared to existing technologies, the diversion holes in conventional agitators are fixed structures, making it impossible to adjust the diversion area according to changes in sewage viscosity or pollutant load. This results in increased flow resistance and energy consumption under high-viscosity conditions, while causing inefficient circulation under low loads. This solution, through a dynamic matching mechanism between the sliding orifice plate 51 and the diversion holes, enables the diversion area to be adjusted in real time according to operating conditions, optimizing the balance between fluid shear force and energy consumption.

[0062] Through the above-mentioned technical solution, this application solves the problems of low mixing efficiency and excessive energy consumption caused by a fixed diversion area. The linear displacement control of the sliding orifice plate 51 enables continuous adjustment of the diversion area, allowing wastewater of varying viscosities to obtain an adapted flow path. The protective design of the sealed housing extends the service life of the second motor 52 in humid and corrosive environments. The corresponding structure of the through-hole and the diversion hole avoids turbulent disturbances caused by sudden changes in the flow path during adjustment, ensuring the stability of the flocculation process.

[0063] like Figure 2 As shown, as a preferred embodiment of the present invention, the driving assembly 6 includes a third motor 61, a driving wheel 62 and a driven wheel 63;

[0064] The third motor 61 is fixedly connected to the inner top surface of the connecting sleeve 3, and the output shaft of the third motor 61 is fixedly connected to the driving wheel 62. One end of the connecting rod 10 on the inner side of the connecting sleeve 3 is fixedly connected to the driven wheel 63, and all the driven wheels 63 are engaged with the driving wheel 62.

[0065] In this embodiment, the third motor 61 is started, and the third motor 61 drives the driving wheel 62 to rotate. The driving wheel 62 drives all the driven wheels 63 to rotate through meshing transmission. All the driven wheels 63 drive all the stirring plates 4 to rotate through the connecting rod 10, thereby controlling the intercepting area of ​​the stirring plates 4 in the treatment cylinder 1.

[0066] Through the above technical solution, this application solves the problem of difficult synchronous adjustment of multiple stirring orifices 4, achieves unified adjustment of the intercepting 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 disturbances caused by asynchronous transmission, and provides uniform shear force distribution for the sewage treatment process.

[0067] like Figure 2 As shown, as a preferred embodiment of the present invention, the vibration damping assembly 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 started to extend, and the electric telescopic rod 71 drives the elastic pressure plate 72 to elastically abut against all the driven wheels 63. Under the elastic force of the elastic pressure plate 72, the vibration frequency of the stirring hole plate 4 during stirring can be reduced, and the stability of the stirring hole plate 4 during stirring can be improved.

[0069] Specifically, the axial telescopic movement of the electric telescopic rod 71 drives the conical elastic pressure plate 72 to produce 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 is dynamically adjusted according to the vibration intensity. The conical structure enables the elastic pressure plate 72 to form surface contact with multiple driven wheels 63 rather than point contact. The vibration energy is converted into heat energy and dissipated through the compression deformation of the elastic material. The cone top angle of the elastic pressure plate 72 is set to match the circumferential angle of the driven wheels 63 to ensure 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 to existing technologies, traditional vibration reduction methods typically use fixed dampers or passive rubber pads, which cannot adjust damping parameters in real time based on vibration intensity. Furthermore, under high-speed rotation conditions, vibration reduction failure is easily caused by contact surface wear. This solution actively adjusts contact pressure through an electrically operated telescopic rod 71, combined with the multi-point synchronous contact characteristics of a conical elastic pressure plate 72. This achieves dynamic matching of vibration suppression with the equipment's operating status, while avoiding the loss of transmission accuracy caused by traditional rigid contact.

[0071] As a preferred embodiment of the present invention, the inner wall of the treatment barrel 1 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 obtained through the viscosity sensor, temperature sensor, and pH sensor in the treatment barrel 1; the viscosity value is normalized by a maximum 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:

[0073] ;

[0074] in 、 as well as Are weight coefficients, satisfying ,and 、 as well as Both greater than , which can be set to different values ​​based on historical data or experimental calibration; is the viscosity index, is the temperature index, is the pH index, is the water quality coefficient.

[0075] In this embodiment, the viscosity sensor refers to a device for detecting the flow resistance of sewage in real time, and is used to quantify the impact of sewage mixing resistance on stirring intensity. The temperature sensor refers to a component that monitors the thermodynamic state of sewage, and is used to evaluate the interference of temperature changes on the flocculation reaction rate. The pH sensor refers to a probe that detects the acidity and alkalinity of sewage, and is used to judge the stability of the chemical reaction environment. The maximum normalization formula refers to dividing the original viscosity data by the historical maximum viscosity value, eliminating the dimension difference and generating a viscosity index in the range of 0 to 1. The temperature index calculation method refers to 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 calculation method refers to 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 pH to the treatment effect.

[0076] Specifically, viscosity, temperature and pH sensors are integrated into the inner wall of the treatment tube 1 to collect the physical and chemical parameters of sewage in real time. The viscosity data is normalized to the maximum value and converted into a dimensionless viscosity index to avoid interference of different dimensional parameters on the model input. The temperature and pH values ​​are calculated by calculating the index based on the deviation from the preset optimal value, which not only reflects the degree of deviation between the current working conditions and the ideal state, but also standardizes the historical data range to ensure the horizontal comparability of different parameters. The water quality state model adopts a linear weighted fusion method to combine the viscosity index, temperature index and pH index into a single water quality state coefficient according to the preset weight coefficient. The distribution of weight coefficients can be adjusted according to actual needs, such as increasing the viscosity weight in high suspended solids concentration scenarios, or increasing the pH weight in the biochemical treatment stage, so as to dynamically optimize the adjustment priority of the stirring parameters.

[0077] Compared to existing technologies, traditional sewage treatment plants typically rely solely on a single parameter or manual experience to adjust agitation intensity, failing to comprehensively assess the multidimensional characteristics of water quality. For example, existing technologies may only monitor pH or temperature but fail to establish a quantitative model for multi-parameter coupling, resulting in insufficient accuracy in matching agitation parameters to water quality status. This solution, through multi-sensor collaborative sensing and normalization processing, integrates parameters of different dimensions and impact dimensions into a unified water quality status coefficient, addressing the issues of isolated parameters and delayed regulation in traditional methods.

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

[0079] As a preferred embodiment of the present invention, the density and aggregation of suspended matter in sewage are normalized respectively by using a maximum and minimum value normalization formula, and a density index and an aggregation index are generated;

[0080] The pollutant state model is:

[0081] ;

[0082] in 、 Are weight coefficients, satisfying ,and 、 Both greater than , represents the density index of suspended matter, The aggregation index of suspended matter is Represents the pollutant state coefficient.

[0083] In this embodiment, the maximum and minimum normalization formula refers to mapping the original data to the interval [0,1] through linear transformation, which is used to eliminate the dimensional difference between density and aggregation. The density index refers to the normalized value of the ratio of the mass of suspended matter to the volume of sewage. Specifically, it can be generated by real-time data collection and calculation by a density sensor to quantify the concentration of pollutants. The aggregation index refers to the normalized value of the uniformity of the distribution of suspended matter particles in sewage. The aggregation index can be generated after normalization by capturing the average size, number or sedimentation rate parameters of flocculent particles through an online imaging system. The higher the aggregation index, the better the suspended matter flocculation effect and the easier it is to settle and separate. Weight coefficient 、 It refers to the parameters used to adjust the impact of density and aggregation on the state of pollutants. It can be set to different values ​​based on historical data or experimental calibration.

[0084] Specifically, the suspended solids density data is collected in real time by an online density meter and normalized using the maximum and minimum method. For example, when the current density value is detected to be the historical maximum, the density index is mapped to 1; when the minimum value is detected, it is mapped to 0. The aggregation data is obtained by the image analysis system to obtain the suspended particle distribution state, and the standard deviation is calculated and normalized in the same way. In the pollutant state model, the density index is directly involved in the calculation, and the aggregation index is calculated by When the aggregation degree is high, the suspended matter flocculation effect is better and the sedimentation and separation are easier. The value of the item decreases, and the pollutant state coefficient decreases accordingly. The system automatically increases the stirring intensity accordingly. The weight coefficient is dynamically adjusted according to the characteristics of the sewage. For example, when treating high-concentration and low-aggregation sewage, you can set 0.7, is 0.3, making the model more focused on density parameters; when treating low-concentration and high-aggregation sewage, it is adjusted to 0.5, Set to 0.5 to strengthen the effect of aggregation.

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

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

[0087] As a preferred embodiment of the present invention, the No. 1 motor 2 and the No. 3 motor 61 are both electrically connected to a controller, and the controller is electrically connected to a data processor. The controller controls the speed of the No. 1 motor 2 and the rotation angle of the No. 3 motor 61, thereby measuring the speed and cross-sectional area of ​​the stirring orifice plate 4. The speed and cross-sectional area of ​​the stirring orifice plate 4 are normalized by the maximum and minimum normalization formulas, and a speed index and a cross-sectional area index are generated.

[0088] The stirring state model is:

[0089]

[0090] in 、 Are weight coefficients, satisfying ,and 、 Both greater than , represents the speed index, Represents the cross-sectional area index of the stirring orifice plate, Indicates the stirring state coefficient.

[0091] In this embodiment, the controller refers to an electronic device for receiving sensor signals and outputting motor control instructions. Specifically, it can be implemented by a PLC or an embedded microcontroller. Its function is to logically associate water quality parameters with stirring parameters. The data processor refers to an operation unit that performs normalization operations on the collected data. Specifically, it can be implemented by a digital signal processor or an industrial computer to eliminate the numerical differences between parameters of different dimensions. The maximum and minimum normalization formula refers to a standardized method of linearly mapping the original data to the [0,1] interval. For example, the speed value is divided by the historical maximum speed value. Its function is to make the speed and cross-sectional area parameters of different dimensions comparable. Weight coefficient 、 It refers to the dynamic distribution parameter that reflects the influence of the rotation speed and the cross-sectional area on the stirring state. It can be determined by machine learning algorithms or experimental calibration. For example, when the suspended matter density is high, the To strengthen the regulation of intercepting area.

[0092] Specifically, when the sewage viscosity and pollutant concentration change, the controller changes the rotation speed of the stirring plate 4 by adjusting the rotation speed of the No. 1 motor 2, and at the same time drives the No. 3 motor 61 to rotate to change the angle of the connecting rod 10, thereby adjusting the cross-sectional area of ​​the stirring plate 4 in the vertical direction. The data processor normalizes the speed and cross-sectional area data collected in real time, for example, dividing the current speed value by the maximum speed value allowed by the equipment to obtain the speed index, and dividing the current cross-sectional area value by the maximum adjustable cross-sectional area to obtain the cross-sectional area index. The stirring state model dynamically assigns weight coefficients, for example, in low-viscosity sewage, =0.7, =0.3 focuses on speed regulation and is adjusted under high viscosity conditions =0.4 =0.6 to enhance the control of the cross-sectional area, thereby generating a state coefficient that comprehensively reflects the current stirring intensity and providing a quantitative basis for subsequent adjustment of the diversion area.

[0093] Compared with existing technologies, traditional stirring devices can only change the stirring 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 stirring speed and fluid resistance through dual-motor collaborative control. For example, when the suspended matter density suddenly increases, the speed can be increased while reducing the cross-sectional area to maintain a reasonable shear force, avoiding the floc breakage or uneven mixing problems caused by single parameter adjustment in traditional equipment. The static model with fixed weight coefficients in the existing technology has been improved to a calculation model that can dynamically assign parameter weights, so that the stirring state assessment is more in line with the actual working conditions.

[0094] Through the above technical solution, this application solves the problem of mixing efficiency fluctuation caused by the single dimension of parameter adjustment in traditional sewage treatment equipment, and realizes the dynamic matching of stirring intensity and sewage state. The dimensional difference between rotational speed and cutoff area is eliminated through normalization processing, making multi-parameter collaborative control possible. The dynamic allocation mechanism of weight coefficients enhances the adaptability of the system 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 the dual motors effectively suppresses the mechanical vibration caused by the mismatch between rotational speed and cutoff area, thereby extending the service life of the equipment.

[0095] As a preferred embodiment of the present invention, a vibration sensor is provided on the stirring orifice plate 4, and the vibration sensor is used to detect the vibration frequency of the stirring orifice plate 4. The vibration frequency is normalized by the maximum normalization formula to generate a vibration frequency index. The diversion area adjustment model is:

[0096] ;

[0097] in is the proportionality constant, greater than 0; is the vibration attenuation coefficient, greater than 0, Reflects the inhibitory effect of vibration frequency on aperture; represents the frequency index, is the vibration frequency influencing factor, is the water quality coefficient, represents the pollutant state coefficient, represents the stirring state coefficient, Indicates the target diversion area of ​​the diversion hole.

[0098] In this embodiment, the vibration sensor refers to a sensor device installed on the surface or inside the stirring plate 4 for real-time detection of the mechanical vibration frequency. The maximum normalization formula is to divide the original vibration frequency data by the historical maximum vibration frequency value to normalize the vibration frequency index to the range of 0 to 1, eliminating the dimensional differences under different working conditions. Exponential function in the diversion area adjustment model It is used to establish a vibration attenuation mechanism. λ is an adjustable vibration attenuation coefficient that can be determined through experimental calibration or machine learning optimization. It is used to quantify the impact of vibration on the adjustment of the diversion area.

[0099] Specifically, the vibration sensor collects the vibration frequency data of the stirring orifice 4 in real time, and transmits it to the controller after processing by the signal conditioning circuit. The controller uses the maximum normalization algorithm to convert the current vibration frequency value into a standardized vibration frequency index. This index is input into the diversion area adjustment model together with the preset water quality state coefficient, pollutant state coefficient and stirring state coefficient. The model converts the vibration frequency index into a vibration attenuation factor through an exponential function. When the vibration frequency index increases, The value of the term decreases, resulting in a lower calculated value for the target diversion area S. This dynamic adjustment mechanism automatically reduces the diversion area under high-vibration conditions, compensating for diversion area measurement errors caused by vibration while also reducing turbulence intensity by reducing fluid flux, creating a positive feedback loop 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 vibration effects. The stirring state coefficient, serving as the denominator, balances the matching relationship between mechanical agitation intensity and diversion area.

[0100] Compared with existing technologies, traditional sewage treatment mixing devices lack vibration monitoring and closed-loop control capabilities. They rely 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 diversion area adjustment mechanisms are prone to execution errors under vibration interference, and intensified vibrations may trigger secondary turbulence. This solution, through the synergy of vibration sensors and adjustment models, incorporates vibration frequency parameters into the diversion area control logic for the first time, achieving dynamic coupled control of vibration conditions and diversion area, and resolving the mutual amplification problem between mechanical vibration and fluid disturbances.

[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 in the scope of protection of the present invention.

Claims

1. A canned food processing wastewater treatment device, comprising a treatment cylinder, characterized in that: A No. 1 motor is connected to the middle position of the bottom of the treatment cylinder, and the output shaft of the No. 1 motor is fixedly connected to a connecting sleeve, and the connecting sleeve is rotatably connected to a plurality of connecting rods, one end of each connecting rod is fixedly connected to a stirring orifice plate, and the inclination angles of all stirring orifice plates are the same. The stirring orifice plate is provided with an adjustment component for adjusting the diversion area of ​​the guide holes on the stirring orifice plate; The connecting sleeve is provided with a driving assembly, 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 provided with a vibration reduction assembly, which is used to reduce vibration of all stirring orifice plates; Stirring and dispersion optimization system, which includes: The data acquisition module is used to obtain information on the viscosity, temperature, and pH value of sewage, the density and aggregation of suspended solids, the stirring speed and cross-sectional area of ​​the stirring orifice plate; The water quality status module builds a water quality status model based on the viscosity, temperature and pH value information of the sewage and outputs the water quality status coefficient; The pollutant state module builds a pollutant state model based on the suspended matter density and aggregation information in the sewage and outputs the pollutant state coefficient; The stirring state module builds a stirring state model based on the stirring speed and cross-sectional area of ​​the stirring orifice plate and outputs the stirring state coefficient; The diversion area adjustment module builds a diversion area adjustment model based on the current water quality state coefficient, pollutant state coefficient and stirring state coefficient, outputs the target diversion area of ​​the diversion hole and controls the regulating component to make adjustments.

2. The canning wastewater treatment device according to claim 1, characterized in that: The adjustment component includes a sliding orifice plate and a No. 2 motor. The sliding orifice plate is slidably connected to the stirring orifice plate. The stirring orifice plate is fixedly connected to the No. 2 motor. The No. 2 motor is threadedly connected to the sliding orifice plate. A sealed shell is provided on the outside of the No. 2 motor. The through holes on the sliding orifice plate correspond one-to-one to the guide holes on the stirring orifice plate.

3. The canning wastewater treatment device according to claim 1, characterized in that: The driving assembly includes a third motor, a driving wheel and a driven wheel; The third motor is fixedly connected to the inner top surface of the connecting sleeve, the output shaft of the third motor is fixedly connected to the driving wheel, and one end of the connecting rod on the inner side of the connecting sleeve is fixedly connected to the driven wheel, and all the driven wheels are engaged with the driving wheel.

4. The canning wastewater treatment device according to claim 1, characterized in that: The vibration damping assembly 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.

5. The canning wastewater treatment device according to claim 3, characterized in that: The inner wall of the treatment cylinder is provided with a viscosity sensor, a temperature sensor and a pH value sensor, and the viscosity sensor, temperature sensor and pH value sensor in the treatment cylinder are used to obtain the current viscosity value, temperature value and pH value of the sewage; The viscosity value is normalized by the maximum normalization formula to obtain the viscosity index; The temperature index is obtained by subtracting the optimal temperature value from the real-time temperature value and taking the absolute value, and then dividing it by the difference between the historical maximum and minimum temperature values. The pH index is obtained by subtracting the optimal pH value from the real-time pH value and taking the absolute value, and then dividing it by the difference between the historical maximum and minimum pH values. The water quality state model is: ； in 、 as well as Are weight coefficients, satisfying ,and 、 as well as Both greater than , is the viscosity index, is the temperature index, is the pH index, is the water quality coefficient.

6. The canning wastewater treatment device according to claim 5, characterized in that: The density and aggregation of suspended solids in sewage are normalized by the maximum and minimum normalization formula, and the density index and aggregation index are generated; The pollutant state model is: ； in 、 Are weight coefficients, satisfying ,and 、 Both greater than , represents the density index of suspended matter, The aggregation index of suspended matter is Represents the pollutant state coefficient.

7. The canning wastewater treatment device according to claim 6, characterized in that: The first motor and the third motor are both electrically connected to a controller, and the controller is electrically connected to a data processor. The controller controls the rotation speed of the first motor and the rotation angle of the third motor, thereby measuring the rotation speed and cross-sectional area of ​​the stirring orifice plate. The rotation speed and cross-sectional area of ​​the stirring orifice plate are normalized by a maximum and minimum normalization formula, and a rotation speed index and a cross-sectional area index are generated. The stirring state model is: in 、 Are weight coefficients, satisfying ,and 、 Both greater than , represents the speed index, Represents the cross-sectional area index of the stirring orifice plate, Indicates the stirring state coefficient.

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

Images