Magnetic powder recovery device for sewage treatment

Abstract

The invention belongs to the technical field of sewage treatment, and discloses a magnetic powder recovery device for sewage treatment, which comprises: a frame; a case is fixedly mounted at the upper end; the cover body is movably mounted at the top end of the case; the magnetic powder recovery assembly is arranged in the case and is used for adsorbing magnetic powder in the sludge entering the case; the sludge distribution assembly is arranged on one side of the interior of the machine box and used for uniformly distributing sludge entering the machine box onto the magnetic powder recovery assembly; and the control system is integrally arranged on the case and is used for controlling the magnetic powder recovery device to stably work. By arranging the control system, the magnetic field parameters can be accurately adjusted based on prediction of historical data so that the magnetic field parameters can adapt to different sludge characteristics, it is ensured that magnetic powder is efficiently separated, unnecessary high-load operation can be avoided by optimizing the magnetic field parameters, and the service life of equipment is prolonged.

Description

Technical Field

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

[0002] Magnetic powder recovery devices play a vital role in the fields of environmental protection and resource recovery. With the continuous advancement of industrialization, a large amount of sludge or wastewater containing magnetic particles generated by sewage treatment, mineral processing, metallurgy and other industries requires effective separation and recovery technology. Although the existing technology has met the needs to a certain extent, there are still many shortcomings in terms of processing efficiency, recovery rate, energy consumption and ease of operation.

[0003] For example, the Chinese patent with the authorization announcement number CN216191298U discloses a magnetic powder recovery device, including a housing, a water inlet and a sludge outlet provided on the housing, a built-in magnetic strip at the material output end of the water inlet, and a magnetic drum driven by a power source, a nozzle is provided above the magnetic drum corresponding to the sludge outlet, a scraper is fitted with the outer wall of the magnetic drum outside the nozzle, and its output is connected to a magnetic powder recovery device; the magnetic strips are axially distributed and radially spaced outside the cam, the cam is axially arranged in the magnetic drum and assembled with a gap between the inner wall, and the cam is connected to an adjustment device for adjusting the radial spacing between the cam and the inner wall of the magnetic drum. This patent solves the problems of the complex structure of the magnetic force adjustment mechanism of the magnetic drum in the prior art, and has the advantages of compact structure, stable operation, high reliability, and good magnetic powder recovery effect.

[0004] The above patents also have the following problems:

[0005] Existing magnetic powder recovery devices usually use a constant magnetic field and cannot be adjusted according to changes in the magnetic powder content in the sludge, resulting in low separation efficiency, especially when the magnetic powder content is low or the sludge flow is large, the recovery effect is poor; the operation and maintenance of existing devices are relatively complicated, especially when faced with diverse sludge characteristics, adjusting parameters such as magnetic field strength and magnetic roller speed requires manual intervention, which increases the difficulty of operation and maintenance costs; due to the lack of dynamic adjustment capabilities, existing magnetic powder recovery devices are difficult to cope with changes in different sludge characteristics, which limits their application in complex industrial environments, and have a low degree of intelligence and need to be improved. Summary of the invention

[0006] The object of the present invention is to provide a magnetic powder recovery device for sewage treatment, which is used to solve the technical problems raised in the existing background technology.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a magnetic powder recovery device for sewage treatment, comprising: a chassis; a magnetic powder recovery component, arranged inside the chassis, used to adsorb magnetic powder in the sludge entering the chassis; a mud distribution component, arranged on one side inside the chassis, used to evenly distribute the sludge entering the chassis to the magnetic powder recovery component; a control system, integrated on the chassis, used to control the magnetic powder recovery device to work stably;

[0008] The control machine system comprises:

[0009] A data acquisition module is used to acquire a historical training data set of a magnetic powder recovery device, wherein the historical training data set includes a comprehensive influencing parameter and a magnetic field parameter set, and convert the magnetic field parameter set into a parameter number, wherein the parameter number is i=1, 2, 3....n, and n represents the total number of parameter numbers;

[0010] The parameter prediction module trains a machine learning model that predicts parameter numbers based on a historical training data set, collects real-time comprehensive influencing parameters, and predicts parameter numbers based on the trained machine learning model, thereby obtaining a magnetic field parameter set corresponding to the parameter number.

[0011] Preferably, the control system further comprises:

[0012] A data acquisition module is used to obtain the comprehensive influencing parameters of the magnetic powder recovery device, a set of magnetic field parameters and the flow rate of sludge in real time;

[0013] The data analysis module generates a speed influence coefficient based on the comprehensive influencing parameters, the magnetic field parameter set and the sludge flow rate, and generates a corresponding magnetic roller speed level based on the speed influence coefficient;

[0014] The control module controls the rotation speed of the magnetic roller according to the corresponding magnetic roller rotation speed level.

[0015] Preferably, the magnetic powder recovery assembly includes: a magnetic roller, rotatably mounted inside the chassis; a drive motor, arranged on one side of the chassis, and the output shaft is fixedly connected to the magnetic roller; a scraper, arranged on one side of the chassis and in contact with the surface of one side of the magnetic roller; a powder discharge port, arranged on one side of the chassis and connected to the interior of the chassis, for discharging the magnetic powder on the scraper.

[0016] Preferably, the mud spreading assembly includes: a mud spreading cylinder, which is arranged on one side of the interior of the chassis and parallel to the magnetic roller; a mud inlet pipe, which is arranged on one side of the exterior of the chassis and connected to the interior of the mud spreading cylinder; and a mud spreading port, which is arranged on one side of the mud spreading cylinder and faces the magnetic roller.

[0017] Preferably, it also includes a spray assembly, which includes: a spray pipe, which is arranged inside the chassis and located above the magnetic roller; a water inlet pipe, which is fixedly installed on one side of the spray pipe and extends to the outside of the chassis; a spray head, which is arranged on one side of the spray pipe and faces the magnetic roller; wherein the spray assembly is used to spray sludge attached to the magnetic powder recovery assembly.

[0018] Preferably, the training method of the machine learning model for predicting the parameter number is as follows:

[0019] Convert the collected comprehensive influencing parameters into a corresponding set of feature vectors;

[0020] Each group of feature vectors is used as the input of the machine learning model, the machine learning model takes the parameter number corresponding to each group of comprehensive influencing parameters as the output, the parameter number actually corresponding to each group of comprehensive influencing parameters is used as the prediction target, and minimizing the loss function value of the machine learning model is used as the training goal; training is stopped when the loss function value of the machine learning model is less than or equal to the preset target loss value.

[0021] Preferably, the parameters related to the rotational speed influence coefficient include sludge viscosity, sludge density, magnetic powder content, magnetic field strength and sludge flow rate; the rotational speed influence coefficient is obtained by performing weighted operations on the sludge viscosity, sludge density, magnetic powder content, magnetic field strength and sludge flow rate.

[0022] Preferably, the magnetic roller speed levels include primary speed, secondary speed and tertiary speed, wherein the primary speed, secondary speed and tertiary speed increase in sequence.

[0023] Preferably, the speed influence coefficient is used to determine and generate the corresponding magnetic roller speed level as follows:

[0024] The thresholds of the preset speed influence coefficient are Zs1 and Zs2, and Zs1<Zs2;

[0025] If Zs1≥Zs, then the third-level speed is generated;

[0026] If Zs2≥Zs>Zs1, at this time, the secondary speed is generated;

[0027] If Zs>Zs2, at this time, the first-level speed is generated.

[0028] Preferably, the magnetic field parameter set is {(a1, b1), (a2, b2)…, (a n ,b n )}nWhen numbering the magnetic field parameter set, a and b can correspond to the magnetic field intensity and magnetic field direction respectively. n ,b n Indicates the value of magnetic field strength and magnetic field direction when parameter number is n.

[0029] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0030] 1. The present invention can accurately adjust the magnetic field parameters based on historical data to adapt them to different sludge characteristics and ensure that the magnetic powder is efficiently separated. By optimizing the magnetic field parameters, unnecessary high-load operation can be avoided and the service life of the equipment can be extended. The intelligent prediction system based on machine learning can predict and adjust according to historical data to improve the intelligence level of the system. The system can dynamically adjust the magnetic field parameters according to real-time data and historical data to adapt to changes in sludge characteristics and maintain the stability of the separation effect.

[0031] 2. The present invention generates corresponding rotation speed influence coefficients according to factors such as sludge viscosity, density, magnetic powder content, magnetic field strength, sludge flow rate, and dynamically adjusts the rotation speed of the magnetic roller according to the rotation speed influence coefficient, thereby improving the separation efficiency. An appropriate rotation speed can adsorb the magnetic powder in the sludge to the greatest extent and reduce the loss of non-absorbed magnetic powder, thereby improving the recovery rate. Dynamic adjustment of the rotation speed can prevent the magnetic roller from running at an inappropriate rotation speed, reduce mechanical wear, and extend the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 A stereoscopic diagram of a magnetic powder recovery device for sewage treatment according to the present invention is shown;

[0034] Figure 2 A top view of a magnetic powder recovery device for sewage treatment according to the present invention is shown;

[0035] Figure 3 The module structure diagram of the control system of embodiment 2 of the present invention is shown;

[0036] Figure 4 The module structure diagram of the control system of Example 3 of the present invention is shown.

[0037] Figure numerals: 100, frame; 101, chassis; 102, mud discharge port; 103, cover; 104, electric push rod; 200, magnetic powder recovery assembly; 201, magnetic roller; 202, drive motor; 203, scraper; 204, powder discharge port; 300, mud distribution assembly; 301, mud distribution cylinder; 302, mud inlet pipe; 303, mud distribution port; 400, spray assembly; 401, spray pipe; 402, water inlet pipe; 403, nozzle. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] Example 1

[0040] Reference Figure 1 and Figure 2 As shown, a magnetic powder recovery device for sewage treatment includes: a frame 100, a chassis 101, a cover 103, a magnetic powder recovery component 200 and a mud distribution component 300, wherein the chassis 101 is fixedly mounted on the frame 100; the cover 103 is movably mounted on the top of the chassis 101, and electric push rods 104 are arranged on both sides of the chassis 101, and the extended ends of the electric push rods 104 are hinged to the cover 103, and the cover 103 can be opened or closed by extending or contracting the electric push rods 104, so as to facilitate the maintenance of the inside of the chassis 101, and a mud discharge port 102 is provided at the bottom end of the chassis 101 for discharging the sludge; the magnetic powder recovery component 200 is arranged inside the chassis 101, and is used to adsorb the magnetic powder in the sludge entering the inside of the chassis 101; the mud distribution component 300 is arranged on one side of the inside of the chassis 101, and is used to evenly distribute the sludge entering the inside of the chassis 101 to the magnetic powder recovery component 200;

[0041] In this embodiment, the sludge containing magnetic powder can be evenly distributed on the magnetic powder recovery component 200 through the mud distribution component 300, and the magnetic powder in the sludge can be adsorbed and recovered by the magnetic powder recovery component 200. When the inside of the chassis 101 needs to be inspected, the electric push rod 104 can be extended to open the cover 103, so that the overall flexibility of the device is better and easier to use.

[0042] Specifically, refer to Figure 2As shown, the magnetic powder recovery assembly 200 includes: a magnetic roller 201, a drive motor 202, a scraper 203 and a powder discharge port 204, wherein the magnetic roller 201 is rotatably mounted inside the chassis 101; the drive motor 202 is arranged at one side of the chassis 101, and the output shaft is fixedly connected to the magnetic roller 201; the scraper 203 is arranged at one side inside the chassis 101 and contacts the surface of one side of the magnetic roller 201; the powder discharge port 204 is arranged at one side of the chassis 101 and communicates with the inside of the chassis 101, and one end of the scraper 203 extends to be located inside the powder discharge port 204, and is used to discharge the magnetic powder on the scraper 203;

[0043] In this embodiment, the driving motor 202 can be used to drive the magnetic roller 201 to rotate, and while the magnetic roller 201 is rotating, the magnetic powder in the sludge can be adsorbed so that the magnetic powder adheres to the magnetic roller 201. When the magnetic powder attached to the magnetic roller 201 follows the magnetic roller 201 to move to the side of the scraper 203, the scraper 203 can scrape the magnetic powder off the magnetic roller 201, and slide along the scraper 203 to the powder discharge port 204, and discharge the magnetic powder through the powder discharge port 204.

[0044] Specifically, refer to Figure 2 As shown, the mud distributing assembly 300 includes: a mud distributing cylinder 301, a mud inlet pipe 302 and a mud distributing port 303, wherein the mud distributing cylinder 301 is arranged at one side of the interior of the chassis 101 and is arranged parallel to the magnetic roller 201; the mud inlet pipe 302 is arranged at one side of the exterior of the chassis 101 and is communicated with the interior of the mud distributing cylinder 301; the mud distributing port 303 is arranged at one side of the mud distributing cylinder 301 and faces the magnetic roller 201;

[0045] In this embodiment, the sludge can be delivered into the sludge distribution cylinder 301 through the sludge inlet pipe 302, and then the sludge in the sludge distribution cylinder 301 is evenly sprayed onto the surface of the magnetic roller 201 through a plurality of sludge distribution ports 303, so that the magnetic powder in the sludge adheres to the magnetic roller 201, and the sludge slides along the magnetic roller 201 into the inside of the chassis 101 and is discharged through the sludge discharge port 102.

[0046] Specifically, refer to Figure 2 As shown, it also includes a spray assembly 400, which includes: a spray pipe 401, a water inlet pipe 402 and a spray head 403, wherein the spray pipe 401 is arranged inside the chassis 101 and is located above the magnetic roller 201; the water inlet pipe 402 is fixedly installed on one side of the spray pipe 401 and extends to the outside of the chassis 101, and is used to send spray water into the spray pipe 401; the spray head 403 is arranged on one side of the spray pipe 401 and faces the magnetic roller 201; wherein the spray assembly 400 is used to spray the sludge attached to the magnetic powder recovery assembly;

[0047] In this embodiment, the spray water can be input into the spray pipe 401 through the water inlet pipe 402, and then the spray water is evenly sprayed onto the surface of the magnetic roller 201 through a plurality of nozzles 403, so as to rinse the surface of the magnetic roller 201, rinse off the sludge attached to the surface of the magnetic roller 201, lubricate the magnetic roller 201, and reduce the wear between the scraper 203 and the magnetic roller 201. At the same time, the plurality of nozzles 403 can disperse the pressure of the spray water to avoid the magnetic powder on the magnetic roller 201 from being sprayed off, and can effectively clean the surface of the magnetic roller 201 to avoid excessive sludge adhesion and affect the magnetic suction effect.

[0048] Working principle: When working, the magnetic roller 201 is driven to rotate by starting the driving motor 202. At this time, the sludge can be sent into the mud distribution tube 301 through the mud inlet pipe 302, and then the sludge in the mud distribution tube 301 is evenly sprayed onto the surface of the magnetic roller 201 through a plurality of mud distribution ports 303, so that the magnetic powder in the sludge adheres to the magnetic roller 201, and the sludge slides along the magnetic roller 201 into the inside of the chassis 101 and is discharged through the mud discharge port 102. At this time, the water inlet pipe 402 inputs the spray water into the spray pipe 401, and then the spray water is evenly sprayed onto the surface of the magnetic roller 201 through a plurality of nozzles 403, so that the surface of the magnetic roller 201 can be washed and the magnetic powder attached to the surface of the magnetic roller 201 can be washed. The sludge on the surface of the magnetic roller 201 is washed away and the magnetic roller 201 is lubricated to reduce the wear between the scraper 203 and the magnetic roller 201. At the same time, several nozzles 403 can disperse the pressure of the spray water to avoid the magnetic powder on the magnetic roller 201 from being sprayed off, and the surface of the magnetic roller 201 can be effectively cleaned to avoid excessive sludge adhesion and affect the magnetic suction effect. When the magnetic powder attached to the magnetic roller 201 follows the magnetic roller 201 to move to the side of the scraper 203, the scraper 203 can scrape the magnetic powder on the magnetic roller 201 and slide along the scraper 203 to the powder discharge port 204, and discharge the magnetic powder through the powder discharge port 204, thereby realizing the recovery of the magnetic powder in the sludge, with high recovery efficiency and easy use.

[0049] Example 2

[0050] Reference Figure 3 As shown, it also includes a control system for controlling the magnetic powder recovery device to work stably and efficiently. The control system includes: a data acquisition module and a parameter prediction module. The modules are connected by wired / wireless means to realize data transmission;

[0051] A data acquisition module is used to acquire a historical training data set of a magnetic powder recovery device, wherein the historical training data set includes a comprehensive influencing parameter and a magnetic field parameter set, and convert the magnetic field parameter set into a parameter number, wherein the parameter number is i=1, 2, 3....n, and n represents the total number of parameter numbers;

[0052] Specifically, the comprehensive influencing parameters include the viscosity, density and magnetic powder content of the sludge;

[0053] The viscosity of sludge refers to the difficulty of the sludge flowing into the magnetic powder recovery device. High-viscosity sludge will slow down the flow and dispersion of magnetic powder, and a stronger magnetic field is needed to overcome this resistance to ensure that the magnetic powder can be effectively attracted and collected. Low-viscosity sludge has better fluidity and may require a weaker magnetic field, but the direction of the magnetic field may need to be adjusted to prevent the magnetic powder from moving too quickly and not being completely separated. This can be obtained in real time through a viscosity sensor.

[0054] The density of sludge refers to the density of the sludge entering the magnetic powder recovery device. The density of sludge is affected by solid particles, liquid content and other components. The magnetic powder in high-density sludge is more difficult to suspend and separate, and a stronger magnetic field is required to effectively extract the magnetic powder. The magnetic powder in low-density sludge is easy to disperse, and the magnetic field strength can be relatively low, but the separation effect needs to be optimized by adjusting the direction of the magnetic field. The density of the sludge can be obtained in real time through a density sensor.

[0055] Magnetic powder content refers to the proportion of magnetic particles contained in sludge. High magnetic powder content means that the concentration of magnetic substances in the sludge is high. Sludge with high magnetic powder content requires a stronger magnetic field strength to ensure that all magnetic powders can be effectively attracted and separated. When the magnetic powder content is low, the magnetic field strength can be appropriately reduced, but the direction of the magnetic field must be precisely controlled to ensure effective separation. The magnetic powder content in the sludge can be detected and obtained in real time through Hall effect sensors, inductive sensors, etc.

[0056] The magnetic field parameter set is {(a1,b1),(a2,b2)…,(a n ,b n )};

[0057] For example, when the magnetic field parameter set is numbered, a and b may correspond to the magnetic field intensity and magnetic field direction, respectively. n ,b n Indicates the value of magnetic field strength and magnetic field direction when parameter number is n.

[0058] The parameter prediction module trains a machine learning model for predicting parameter numbers based on a historical training data set, collects real-time comprehensive influencing parameters, and predicts parameter numbers based on the trained machine learning model, thereby obtaining a magnetic field parameter set corresponding to the parameter number;

[0059] Specifically, the training method of the machine learning model that predicts the parameter number is as follows:

[0060] Convert the collected comprehensive influencing parameters into a corresponding set of feature vectors;

[0061] Each group of feature vectors is used as the input of the machine learning model, the machine learning model takes the parameter number corresponding to each group of comprehensive influencing parameters as the output, the parameter number actually corresponding to each group of comprehensive influencing parameters is used as the prediction target, and minimizing the loss function value of the machine learning model is used as the training goal; training is stopped when the loss function value of the machine learning model is less than or equal to the preset target loss value.

[0062] The machine learning model may be one of SVM regression, random forest regression or neural network regression models;

[0063] The machine learning model loss function value is the mean square error;

[0064] Mean square error is one of the commonly used loss functions. By transforming the loss function formula Minimization is used as the goal to train the model so that the machine learning model better fits the data, thereby improving the performance and accuracy of the model;

[0065] In the loss function, MSE is the loss function value of the machine learning model, x is the feature vector group number; m is the number of feature vector groups; y is the number of feature vector groups; x is the parameter number predicted by the x-th group of feature vectors, is the parameter number actually corresponding to the x-th group of eigenvectors;

[0066] Other model parameters of the machine learning model, target loss value, optimization algorithm, training set test set validation set ratio, and loss function optimization are all achieved through actual engineering implementation and continuous experimental tuning.

[0067] In this embodiment, the magnetic field strength and direction of the magnetic roller can be reasonably adjusted according to the real-time changes in the viscosity or density of the sludge to ensure high efficiency of magnetic powder recovery. For the adjustment of the magnetic field strength, the magnetic field strength of the magnetic roller can be changed by adjusting the power supply current; for the adjustment of the magnetic field direction, a plurality of electromagnets can be arranged inside the magnetic roller, and the plurality of electromagnets can be arranged in different directions to form an adjustable magnetic field system. Through an independent power supply and a control circuit, the current direction of each electromagnet can be adjusted to change the direction of the magnetic field (the technology for adjusting the magnetic field strength and the magnetic field direction is prior art and will not be elaborated here).

[0068] Through predictions based on historical data, the magnetic field parameters can be accurately adjusted to adapt to different sludge characteristics and ensure that the magnetic powder is efficiently separated. By optimizing the magnetic field parameters, unnecessary high-load operation can be avoided and the service life of the equipment can be extended. The intelligent prediction system based on machine learning can make predictions and adjustments based on historical data to improve the intelligence level of the system. The system can dynamically adjust the magnetic field parameters based on real-time data and historical data to adapt to changes in sludge characteristics and maintain the stability of the separation effect.

[0069] Example 3

[0070] Reference Figure 4 As shown, the present invention further includes, based on Example 2:

[0071] A data acquisition module is used to obtain the comprehensive influencing parameters of the magnetic powder recovery device, a set of magnetic field parameters and the flow rate of sludge in real time;

[0072] Specifically, the magnetic field parameter set is a magnetic field parameter set corresponding to the parameter number predicted in real time;

[0073] Specifically, the flow rate of sludge refers to the amount of sludge flowing through the magnetic roller per unit time. High-flow sludge requires a faster magnetic roller rotation speed to handle a large amount of sludge to prevent blockage and accumulation. Low-flow sludge can use a slower rotation speed. The flow rate of sludge can be obtained in real time through a flow meter.

[0074] The data analysis module generates a speed influence coefficient based on the comprehensive influencing parameters, the magnetic field parameter set and the sludge flow rate, and generates a corresponding magnetic roller speed level based on the speed influence coefficient;

[0075] Specifically, the speed influence coefficient is generated as follows:

[0076]

[0077] In the formula, Zs represents the speed influence coefficient, Nd represents the viscosity of the sludge, Md represents the density of the sludge, Cf represents the magnetic powder content, Cq represents the magnetic field intensity, and Wl represents the flow rate of the sludge. represents the weight coefficient, which is determined by technicians in this field based on actual needs and experience. Both are greater than 0.

[0078] It should be noted that, the higher the sludge viscosity Nd, the higher the sludge density Md, the higher the magnetic powder content Cf, the lower the magnetic field intensity Cq, and the smaller the sludge flow rate Wl, the larger the corresponding speed influence coefficient Zs, and the magnetic roller speed is relatively slow, which can ensure that the magnetic powder has enough time to be adsorbed; conversely, the lower the sludge viscosity Nd, the lower the sludge density Md, the lower the magnetic powder content Cf, the higher the magnetic field intensity Cq, and the larger the sludge flow rate Wl, the smaller the corresponding speed influence coefficient Zs, the magnetic roller speed is relatively fast, and the treatment efficiency is improved.

[0079] It should be noted that the formulas involved in the above-mentioned are all calculated by removing dimensions and taking numerical values. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The weight coefficients in the formulas and the various preset thresholds in the analysis process are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data; the size of the weight coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the weight coefficient depends on the amount of sample data and the corresponding processing coefficients initially set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameters and the quantized values.

[0080] The magnetic roller speed levels include primary speed, secondary speed and tertiary speed, wherein the primary speed, secondary speed and tertiary speed increase in sequence;

[0081] The method of generating the corresponding magnetic roller speed level according to the speed influence coefficient is as follows:

[0082] The thresholds of the preset speed influence coefficient are Zs1 and Zs2, and Zs1<Zs2;

[0083] If Zs1≥Zs, it means that the speed influence coefficient is less than the preset threshold value of the minimum speed influence coefficient, which means that the influence of various factors on the speed of the magnetic roller is small, and the third-level speed is generated;

[0084] If Zs2≥Zs>Zs1, it means that the speed influence coefficient is greater than the preset minimum speed influence coefficient threshold and less than the preset maximum speed influence coefficient threshold, indicating that the influence of each factor on the magnetic roller speed is moderate, and a secondary speed is generated;

[0085] If Zs>Zs2, it means that the speed influence coefficient is greater than the preset maximum speed influence coefficient threshold, which means that various factors have a greater impact on the magnetic roller speed, and a first-level speed is generated.

[0086] For example, the first-level speed may be 30 rpm, the second-level speed may be 60 rpm, and the third-level speed may be 100 rpm. The rotation parameters corresponding to the magnetic roller speed levels may also be customized according to specific circumstances.

[0087] A control module controls the rotation speed of the magnetic roller according to a corresponding magnetic roller rotation speed level;

[0088] The control system controls the drive motor according to the corresponding magnetic roller speed level, and then controls the speed of the magnetic roller, ensuring that the magnetic powder can be efficiently adsorbed under different conditions, thereby improving the overall separation efficiency and stability of the system.

[0089] In this embodiment, the separation efficiency can be improved by generating a corresponding rotation speed influence coefficient according to factors such as the viscosity, density, magnetic powder content, magnetic field strength, and sludge flow rate of the sludge, and dynamically adjusting the rotation speed of the magnetic roller according to the rotation speed influence coefficient. Since sludges with different characteristics require different adsorption times, dynamically adjusting the rotation speed of the magnetic roller can ensure that the magnetic powder has enough time to be adsorbed, thereby improving the separation efficiency; and the appropriate rotation speed can maximize the adsorption of the magnetic powder in the sludge and reduce the loss of non-adsorbed magnetic powder, thereby improving the recovery rate. Dynamically adjusting the rotation speed can prevent the magnetic roller from running at an inappropriate rotation speed, reduce mechanical wear, and extend the service life of the equipment.

[0090] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0091] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A magnetic powder recovery device for sewage treatment, characterized in that: include: Chassis (101); A magnetic powder recovery component (200) is arranged inside the chassis (101) and is used to absorb magnetic powder in the sludge that enters the chassis (101); A mud distribution assembly (300) is arranged on one side of the interior of the chassis (101) and is used to evenly distribute the mud entering the interior of the chassis (101) onto the magnetic powder recovery assembly (200); A control system, integrated on the chassis (101), used to control the magnetic powder recovery device to operate stably; The control system comprises: A data acquisition module is used to acquire a historical training data set of a magnetic powder recovery device, wherein the historical training data set includes a comprehensive influencing parameter and a magnetic field parameter set, and convert the magnetic field parameter set into a parameter number, wherein the parameter number is i=1, 2, 3....n, and n represents the total number of parameter numbers; The parameter prediction module trains a machine learning model that predicts parameter numbers based on a historical training data set, collects real-time comprehensive influencing parameters, and predicts parameter numbers based on the trained machine learning model, thereby obtaining a magnetic field parameter set corresponding to the parameter number.

2. A magnetic powder recovery device for sewage treatment as claimed in claim 1, characterized in that: The control system further comprises: A data acquisition module is used to obtain the comprehensive influencing parameters of the magnetic powder recovery device, a set of magnetic field parameters and the flow rate of sludge in real time; The data analysis module generates a rotation speed influence coefficient according to the comprehensive influence parameter, the magnetic field parameter set and the sludge flow rate, and generates a corresponding rotation speed level of the magnetic roller (201) according to the rotation speed influence coefficient; The control module controls the rotation speed of the magnetic roller (201) according to the corresponding rotation speed level of the magnetic roller (201).

3. A magnetic powder recovery device for sewage treatment according to claim 1 or 2, characterized in that: The magnetic powder recovery assembly (200) comprises: A magnetic roller (201) is rotatably mounted inside the chassis (101); A driving motor (202) is arranged on one side of the chassis (101), and an output shaft is fixedly connected to the magnetic roller (201); A scraper (203) is arranged on one side of the interior of the chassis (101) and is in contact with a surface of one side of the magnetic roller (201); The powder discharge port (204) is arranged on one side of the chassis (101) and is communicated with the interior of the chassis (101) and is used to discharge the magnetic powder on the scraper (203).

4. A magnetic powder recovery device for sewage treatment as claimed in claim 3, characterized in that: The mud cloth assembly (300) comprises: A mud distributing cylinder (301) is arranged at one side of the interior of the housing (101) and is arranged parallel to the magnetic roller (201); A mud inlet pipe (302) is arranged on one side of the exterior of the chassis (101) and is in communication with the interior of the mud distributing cylinder (301); The mud distribution opening (303) is arranged on one side of the mud distribution cylinder (301) and faces the magnetic roller (201).

5. A magnetic powder recovery device for sewage treatment as claimed in claim 4, characterized in that: Also included is a spray assembly (400), wherein the spray assembly (400) includes: A spray pipe (401) is arranged inside the chassis (101) and located above the magnetic roller (201); A water inlet pipe (402) is fixedly mounted on one side of the spray pipe (401) and extends to the outside of the chassis (101); A spray head (403) arranged on one side of the spray pipe (401) and facing the magnetic roller (201); The spraying component (400) is used to spray the sludge attached to the magnetic powder recovery component (200).

6. A magnetic powder recovery device for sewage treatment as claimed in claim 2, characterized in that: The training method of the machine learning model for predicting parameter numbers is as follows: Convert the collected comprehensive influencing parameters into a corresponding set of feature vectors; Each group of feature vectors is used as the input of the machine learning model. The machine learning model uses the parameter number corresponding to each group of comprehensive influencing parameters as the output, the parameter number actually corresponding to each group of comprehensive influencing parameters as the prediction target, and minimizing the loss function value of the machine learning model as the training target; When the loss function value of the machine learning model is less than or equal to the preset target loss value, training stops.

7. A magnetic powder recovery device for sewage treatment as claimed in claim 2, characterized in that: The parameters related to the rotation speed influence coefficient include sludge viscosity, sludge density, magnetic powder content, magnetic field strength and sludge flow rate; the rotation speed influence coefficient is obtained by weighted calculation of sludge viscosity, sludge density, magnetic powder content, magnetic field strength and sludge flow rate.

8. A magnetic powder recovery device for sewage treatment as claimed in claim 2, characterized in that: The magnetic roller rotation speed levels include primary rotation speed, secondary rotation speed and tertiary rotation speed, wherein the primary rotation speed, the secondary rotation speed and the tertiary rotation speed increase in sequence.

9. A magnetic powder recovery device for sewage treatment as claimed in claim 8, characterized in that: The method of determining the speed influence coefficient to generate the corresponding magnetic roller speed level is as follows: The thresholds of the preset speed influence coefficient are Zs1 and Zs2, and Zs1<Zs2; If Zs1≥Zs, then the third-level speed is generated; If Zs2≥Zs>Zs1, at this time, the secondary speed is generated; If Zs>Zs2, at this time, the first-level speed is generated.

10. A magnetic powder recovery device for sewage treatment as claimed in claim 2, characterized in that: The magnetic field parameter set is {(a1, b1), (a2, b2)…, (a n ,b n )}, when the magnetic field parameter set is numbered, a and b correspond to the magnetic field intensity and magnetic field direction respectively, a n ,b n Indicates the value of magnetic field strength and magnetic field direction when parameter number is n.

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