Material screening system and method based on multiple layers of screens

Abstract

The invention discloses a material screening system and method based on multiple layers of screens in the technical field of material screening. The method comprises the steps that parameters of materials to be screened are obtained through a sensor; calculating a screen vibration frequency and a material passing probability based on the material parameters; calculating a screening efficiency comprehensive index based on the screen vibration frequency and the material passing probability, and comparing the screening efficiency comprehensive index with a preset threshold value; when the screening efficiency comprehensive index is smaller than a preset threshold value in response, the screening efficiency comprehensive index is recalculated after the screening parameters are adjusted, and the screening efficiency comprehensive index is compared with the preset threshold value again; and when the screening efficiency comprehensive index is not smaller than the preset threshold value, the materials are screened based on the current screening parameters. According to the invention, the screening parameters of the multiple stages of screens are cooperatively adjusted, so that a dynamic linkage mechanism of the multiple stages of screens is realized, a grading effect of'step-by-step focusing 'of materials is formed among the multiple stages of screens, and high-precision separation of multiple granularity levels is realized through linkage of the multiple stages of screens and dynamic parameter adjustment.

Description

Technical Field

[0001] The present invention relates to a material screening system and method based on a multi-layer screen, belonging to the technical field of material screening. Background Art

[0002] Screening is a method of separating a particle group according to the powder properties of particles, such as particle size, specific gravity, chargeability, and magnetism. The operation of separating a mixed material with different particle sizes into various particle size levels using a perforated screen surface is called screening.

[0003] Traditional screening devices usually adopt a single-layer screen structure, which can only achieve coarse screening or separation of a single particle size. It is impossible to dynamically adjust the screening parameters according to the material characteristics, resulting in the mixing of fine particles and coarse particles. Although there are designs using multi-layer screens in the prior art, the linkage between the screens is poor and the parameters are fixed, and it is impossible to dynamically optimize according to the physical characteristics of different materials. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art, and provide a material screening system and method based on a multi-layer screen. Through the linkage of multiple-stage screens and dynamic parameter adjustment, high-precision separation of multiple particle size levels is achieved, and the screening parameters can be optimized in real time according to the material characteristics, reducing the risk of blockage and improving the stability of continuous operation.

[0005] To achieve the above purpose, the present invention is implemented by the following technical solutions:

[0006] In the first aspect, the present invention provides a material screening method based on a multi-layer screen, including:

[0007] Obtaining the material parameters of the material to be screened through a sensor;

[0008] Calculating the screen vibration frequency and the material passing probability based on the material parameters;

[0009] After calculating the comprehensive screening efficiency index based on the screen vibration frequency and the material passing probability, comparing it with a preset threshold;

[0010] In response to the comprehensive screening efficiency index being less than the preset threshold, adjusting the screening parameters and then recalculating the comprehensive screening efficiency index, and comparing it with the preset threshold again;

[0011] In response to the comprehensive screening efficiency index being not less than the preset threshold, screening the material based on the current screening parameters.

[0012] Further, the calculation formula for the screen vibration frequency is:

[0013]

[0014] Wherein, f: vibration frequency; K1: correction coefficient of screen material; ρ: material density; η: moisture content of material; davg: average particle size of material.

[0015] Furthermore, the calculation formula for the passing probability of the material is:

[0016]

[0017] Wherein, P: probability of the material passing through the current screen; K2: screening efficiency coefficient; davg: average particle size of material; dmesh: aperture of the current screen.

[0018] Furthermore, the calculation formula for the comprehensive screening efficiency index is:

[0019]

[0020] Wherein, E: comprehensive screening efficiency index; K3: system comprehensive correction coefficient; f: vibration frequency; P: probability of the material passing through the current screen; θ: inclination angle of the screen; t: screening duration.

[0021] Furthermore, the correction coefficient of the screen material is divided according to the screen material. Among them, the calibration range of the stainless steel screen is [0.8, 1.2], the calibration range of the polyurethane screen is [1.4, 1.8], and the calibration range of the nylon screen is [1.0, 1.4].

[0022] Furthermore, the screening efficiency coefficient is divided according to the fluidity of the material. Among them, the calibration range of dry materials is [2.0, 3.0], and the calibration range of wet materials is [1.0, 2.0].

[0023] Furthermore, the system comprehensive correction coefficient adjusts the combination of vibration frequency, inclination angle and screening duration under the fixed screening efficiency target, and the calibration range obtained by inverse derivation through the multi-variable optimization algorithm is [0.5, 1.5].

[0024] In a second aspect, the present invention provides a material screening system based on a multi-layer screen, including:

[0025] Parameter acquisition module: acquiring material parameters to be screened through sensors;

[0026] Data calculation module: calculating the screen vibration frequency and the material passing probability based on the material parameters;

[0027] Data comparison module: comparing with a preset threshold value after calculating the comprehensive screening efficiency index based on the screen vibration frequency and the material passing probability;

[0028] Screening execution module: When the comprehensive index of screening efficiency is less than the preset threshold, adjust the screening parameters and then recalculate the comprehensive index of screening efficiency, and compare it with the preset threshold again; when the comprehensive index of screening efficiency is not less than the preset threshold, screen the material based on the current screening parameters.

[0029] In a third aspect, the present invention provides a material screening device based on a multi-layer screen mesh, including a processor and a storage medium;

[0030] The storage medium is used to store instructions;

[0031] The processor is used to operate according to the instructions to execute the steps of the method according to any one of the above.

[0032] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method according to any one of the above are implemented.

[0033] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0034] First, the present invention realizes a dynamic linkage mechanism of multi-layer screen meshes by coordinately adjusting the screening parameters of multi-stage screen meshes, so that the material forms a "step-by-step focusing" classification effect among different levels of screen meshes. Fine particles pass quickly through the first-layer screen mesh, medium particles are efficiently intercepted in the middle layer, and coarse particles are centrally collected in the last layer, thus eliminating the problem of particle size mixing and significantly improving the classification purity;

[0035] Second, the present invention dynamically adjusts parameters such as the vibration frequency and tilt angle of the screen mesh by real-time collecting material physical property parameters such as density, humidity, and particle size, and based on formulas, so that the screening process is always in an optimal state. For example, when the material humidity increases, the system automatically increases the vibration frequency to overcome the adhesion force; when the particle size distribution changes suddenly, the screen mesh angle is dynamically adjusted to match the passing probability requirement, thus ensuring the stability of continuous operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The schematic diagrams in the specification that form a part of the present invention are used to provide a further understanding of the present invention. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0037] Figure 1 It is a schematic flow chart of a material screening method based on a multi-layer screen mesh provided by Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The present invention will be described in detail below with reference to the drawings and in combination with embodiments. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0039] The following detailed descriptions are all exemplary descriptions, aiming to provide further detailed explanations for the present invention. Unless otherwise specified, all technical terms adopted in the present invention have the same meanings as those commonly understood by those of ordinary skill in the art to which the present invention pertains. The terms used in the present invention are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0040] Example 1:

[0041] This embodiment provides a material screening system based on a multi-layer screen, including the following core structures:

[0042] Multi-stage screen module: At least three layers of screens with adjustable inclination angles, the aperture of each layer of screen gradually decreases, and all are connected to the vibration mechanism.

[0043] Dynamic adjustment module: Adjust the vibration frequency, inclination angle and screening duration of the screen in real time based on the material characteristics.

[0044] Control module: Output screening parameters through the screen vibration frequency formula, material passing probability formula and screening efficiency comprehensive index formula, and drive the actuator to act, including:

[0045] 1. The control module adjusts the rotational speed of the vibration motor according to the calculation result of the screen vibration frequency formula. The screen vibration frequency formula is:

[0046]

[0047] In the formula, f: vibration frequency (Hz), output by the control module to the vibration motor for directly controlling the vibration intensity to avoid material accumulation; K1: screen material correction coefficient (empirical value, calibrated by experiments); ρ: material density (kg / m 3 ), collected in real time through a sensor; η: material moisture content (unitless), obtained through a humidity sensor; davg: average particle size of the material (m), calculated through an image recognition module.

[0048] 2. The control module dynamically adjusts the inclination angle of the screen according to the calculation result of the material passing probability formula. The material passing probability formula:

[0049]

[0050] In the formula, P: probability of the material passing through the current screen (0 - 1), used to judge the screening efficiency and guide the adjustment of the screen angle to ensure the efficient passing of fine particles; K2: screening efficiency coefficient (calibrated by experiments); davg: average particle size of the material; dmesh: aperture of the current screen (m).

[0051] 3. The control module iteratively optimizes the screening parameter combination according to the calculation result of the comprehensive screening efficiency index formula, and the comprehensive screening efficiency index formula is as follows:

[0052]

[0053] In the formula, E: comprehensive screening efficiency index (unitless), used to evaluate the pros and cons of the current parameter combination, achieve global parameter optimization, and realize the balance between energy consumption and efficiency; K3: system comprehensive correction coefficient; f: vibration frequency (Hz); P: probability of the material passing through the current screen; θ: screen inclination angle (°); t: screening duration (s).

[0054] In this embodiment, the ranges of the empirical coefficients (K1, K2, K3) are calibrated by combining laboratory simulations and on-site measurements in industrial scenarios. The specific method is as follows:

[0055] (1) K1 (screen material correction coefficient)

[0056] Experimental design: Select screens made of stainless steel, polyurethane, and nylon, and respectively test the screening efficiency of the same material (such as quartz sand) at different vibration frequencies. Fix ρ, η, and davg, and record the f value when the optimal screening efficiency is achieved by adjusting the vibration motor frequency.

[0057] Calibration range:

[0058] Stainless steel screen: K1 ∈ [0.8, 1.2] (higher vibration energy is required for high-rigidity materials)

[0059] Polyurethane screen: K1 ∈ [1.4, 1.8] (elastic materials can reduce vibration energy consumption)

[0060] Nylon screen: K1 ∈ [1.0, 1.4] (medium rigidity is suitable for general scenarios)

[0061] (2) K2 (screening efficiency coefficient)

[0062] Experimental design: Use materials with different fluidities (such as dry powder, wet particles), and measure the relationship between the probability P of passing through the screen and the particle size distribution. Determine K2 by fitting the curve slope of P and (davg - dmesh) / dmesh through regression analysis.

[0063] Calibration range:

[0064] Dry materials: K2 ∈ [2.0, 3.0] (high fluidity, easy to pass through the screen)

[0065] Wet materials: K2 ∈ [1.0, 2.0] (strong adhesion, need to compensate and adjust)

[0066] (3) K3 (system comprehensive correction coefficient)

[0067] Experimental design: Under the fixed screening efficiency target (E ≥ 0.9), adjust the combination of vibration frequency f, tilt angle θ, and screening duration t, and record the optimal parameter matching. Use a multivariable optimization algorithm (such as a genetic algorithm) to inversely deduce the reasonable range of K3.

[0068] Calibration range:

[0069] K3 ∈ [0.5, 1.5] (dynamically adjusted according to system energy consumption and screening accuracy requirements)

[0070] In this embodiment, to achieve real-time acquisition of the parameters (ρ, η, davg) in the formula, this device uses the following sensors (the sensor models are exemplary rather than restrictive and can be replaced with products of the same performance according to actual production requirements):

[0071] (1) Material density sensor (ρ)

[0072] Model: Use a non-contact piezoelectric density sensor (such as Kistler5074A) to measure the material density based on the principle of acoustic resonance. Parameters: Measurement range: 500 - 5000 kg / m 3 . Accuracy: ±1%. Applicable environment: Dust and shockproof design (IP65), suitable for working conditions from -20°C to 80°C.

[0073] (2) Material moisture content sensor (η)

[0074] Model: Capacitive humidity sensor (such as SensirionSHT45), detect the moisture content through the change of dielectric constant. Parameters: Measurement range: 0 - 100%RH. Accuracy: ±1.5%. Protection level: IP67, corrosion-resistant coating (suitable for chemical industry and mineral powder scenarios).

[0075] (3) Material particle size identification module (davg)

[0076] Hardware: Industrial camera (such as BasleracA2440 - 75um), resolution 2448×2048, frame rate 75fps. Ring-shaped LED light source (wavelength 650nm) to reduce the interference of material reflection. Algorithm: Image processing system based on OpenCV, calculate the average particle size davg through edge detection and particle segmentation algorithms. Real-time performance: Single-frame processing time ≤ 50ms, meeting the dynamic adjustment requirements.

[0077] In this embodiment, the ρ, η, and davg collected by the sensors are input into the control module in real time. Combining with the calibrated ranges of K1, K2, and K3, the optimal coefficient is dynamically selected through the interpolation method. Example: When the material humidity η > 0.1, automatically select K2 = 1.5 (humid material interval), and match K1 = 1.6 for the polyurethane screen mesh.

[0078] Closed-loop control of sensors and actuators:

[0079] The density sensor is linked with the vibration motor: When ρ changes suddenly (such as uneven material mixing), it triggers real-time correction of the vibration frequency f.

[0080] The moisture content sensor is related to the adjustment of the screen angle: When the humidity is high (η > 0.15), the inclination angle θ of the screen is increased to prevent material adhesion.

[0081] Taking the ore screening in the embodiment as an example:

[0082] Sensor configuration:

[0083] The density sensor detects the density fluctuation of the ore (such as 2650 ± 50 kg / m 3 ), and dynamically corrects K1 to 1.1 (stainless steel screen).

[0084] The moisture content sensor monitors the surface humidity of the ore (η = 0.05), and selects K2 = 2.3 (dry material range).

[0085] The industrial camera identifies the particle size distribution in real time (davg = 0.01 m) and updates the input parameters of the formula.

[0086] Closed-loop control effect:

[0087] When large particle impurities are mixed in the ore (davg suddenly increases), the control module automatically reduces the inclination angle θ of the screen and extends the screening time t to ensure E ≥ 0.9.

[0088] This embodiment takes the screening of ore particles as an example to illustrate the working process of the device:

[0089] (I) Parameter initialization: Input the ore density (ρ = 2650 kg / m 3 ), moisture content (η = 0.05), and obtain the average particle size (davg = 0.01 m) through image recognition;

[0090] (II) Vibration frequency calculation: The control module calculates f = 25 Hz according to the screen vibration frequency formula and drives the vibration motor to work;

[0091] (III) Monitoring through probability: Calculate P = 0.92 of the current screen (dmesh = 0.015 m) through the material passing probability formula, and the control module adjusts the inclination angle of the screen to 25° to improve the passing rate;

[0092] (IV) Efficiency optimization: Calculate the current screening efficiency comprehensive index E = 0.85 through the screening efficiency comprehensive index formula. Since this value is lower than the preset threshold Ethreshold = 0.9, the system automatically starts the parameter optimization process:

[0093] 1. First, increase the inclination angle θ of the sieve from 25° to 28° to improve the material passing rate.

[0094] 2. Recalculate E. If it still does not meet the standard (for example, E = 0.88), then further extend the screening duration t from 120 seconds to 135 seconds.

[0095] 3. Continuously iterate until E ≥ 0.9, and finally lock θ = 30° and t = 140 seconds as the optimal parameters.

[0096] This solution has the following beneficial effects:

[0097] 1. Multi - level collaborative screening, breaking through the bottleneck of traditional particle size separation

[0098] Due to the isolated parameters between sieve meshes, traditional screening equipment is difficult to achieve precise matching of multiple particle size levels. Through the dynamic linkage mechanism of multiple sieve meshes (such as the coordinated adjustment of vibration frequency and inclination angle) in this invention, a "step - by - step focusing" classification effect of materials is formed between different levels of sieve meshes. Fine particles pass quickly through the first - layer sieve mesh, medium particles are efficiently intercepted in the middle layer, and coarse particles are centrally collected in the last layer, thus eliminating the problem of particle size mixing and significantly improving the classification purity. Through the linkage of multiple sieve meshes and dynamic parameter adjustment, high - precision separation of multiple particle size levels is achieved.

[0099] 2. Adaptive dynamic adjustment, with outstanding ability to handle complex working conditions

[0100] When traditional screening devices face fluctuations in material properties (such as changes in humidity and uneven density), they are prone to sieve mesh blockage or a sharp drop in screening efficiency. This invention dynamically adjusts parameters such as sieve mesh vibration frequency and inclination angle based on real - time collection of material physical property parameters (density, humidity, particle size) through formulas, so that the screening process is always in an optimal state. For example, when the material humidity increases, the system automatically increases the vibration frequency to overcome the adhesion force; when the particle size distribution changes suddenly, the sieve mesh angle is dynamically adjusted to match the passing probability requirements, thus ensuring the stability of continuous operation. Optimize screening parameters in real - time according to material properties, reduce the risk of blockage, and improve the stability of continuous operation.

[0101] 3. Intelligent balance between energy efficiency and precision

[0102] Traditional equipment often sacrifices energy consumption to improve screening precision, or tolerates rough classification to reduce energy consumption. This invention introduces the comprehensive screening efficiency index (E) as the global optimization goal, evaluates the rationality of parameter combinations in real - time through formula calculation, and iteratively adjusts variables such as screening duration and vibration intensity, finally achieving a balance between "low energy consumption - high precision". For example, when the E value is close to the threshold, the system preferentially fine - tunes the sieve mesh angle rather than significantly increasing the vibration energy consumption to avoid resource waste. Balance the screening duration and energy consumption through the efficiency comprehensive index to reduce resource waste.

[0103] 4. Strong scalability in modular design, adaptable to multi-industry scenarios

[0104] The structure of traditional screening devices is fixed, making it difficult to adapt to the differentiated requirements of different industries (such as chemical industry, mining, and food). This invention adopts modular screen units and programmable control strategies. Users can quickly replace the screen material (such as corrosion-resistant stainless steel, food-grade polyurethane) according to the material characteristics or customize the screening process (such as setting the priority particle size range). In addition, the control algorithm supports the expansion of external interfaces and can be seamlessly integrated into the intelligent manufacturing production line to achieve the interconnection and interoperability of screening data and the production management system. The modular design supports the quick replacement of screens, and the parameter self-adaptive mechanism reduces the need for manual intervention.

[0105] 5. Intelligent anti-blocking mechanism, reducing maintenance costs

[0106] Due to the fixed parameters of traditional screens, they are prone to blockage caused by material accumulation and require frequent shutdowns for cleaning. This invention predicts the risk of screen blockage through the real-time monitoring of the material passing probability (P). When the P value continuously drops below the set range, the control module automatically triggers anti-blocking operations such as "reverse vibration" or "angle oscillation", and at the same time dynamically extends the screening duration to compensate for the efficiency loss, thereby reducing the frequency of manual cleaning and extending the service life of the equipment.

[0107] Example 2:

[0108] A material screening system based on a multi-layer screen can implement a material screening method based on a multi-layer screen described in Example 1, including:

[0109] Parameter acquisition module: Obtain the material parameters of the material to be screened through sensors;

[0110] Data calculation module: Calculate the screen vibration frequency and material passing probability based on the material parameters;

[0111] Data comparison module: After calculating the comprehensive screening efficiency index based on the screen vibration frequency and material passing probability, compare it with a preset threshold;

[0112] Screening execution module: When the comprehensive screening efficiency index is less than the preset threshold, adjust the screening parameters and recalculate the comprehensive screening efficiency index, and compare it with the preset threshold again; when the comprehensive screening efficiency index is not less than the preset threshold, screen the material based on the current screening parameters.

[0113] Example 3:

[0114] An embodiment of this invention also provides a material screening device based on a multi-layer screen, which can implement a material screening method based on a multi-layer screen described in Example 1, including a processor and a storage medium;

[0115] The storage medium is used to store instructions;

[0116] The processor is configured to operate according to the instructions to perform the steps of the following method:

[0117] Obtain material parameters of the material to be screened through a sensor;

[0118] Calculate the screen vibration frequency and the material passing probability based on the material parameters;

[0119] After calculating the comprehensive screening efficiency index based on the screen vibration frequency and the material passing probability, compare it with a preset threshold;

[0120] In response to the comprehensive screening efficiency index being less than the preset threshold, adjust the screening parameters and recalculate the comprehensive screening efficiency index, and compare it with the preset threshold again;

[0121] In response to the comprehensive screening efficiency index being not less than the preset threshold, screen the material based on the current screening parameters.

[0122] Embodiment 4:

[0123] The embodiment of the present invention further provides a computer-readable storage medium, which can implement the material screening method based on a multi-layer screen described in Embodiment 1. A computer program is stored thereon, and when the program is executed by a processor, the steps of the following method are implemented:

[0124] Obtain material parameters of the material to be screened through a sensor;

[0125] Calculate the screen vibration frequency and the material passing probability based on the material parameters;

[0126] After calculating the comprehensive screening efficiency index based on the screen vibration frequency and the material passing probability, compare it with a preset threshold;

[0127] In response to the comprehensive screening efficiency index being less than the preset threshold, adjust the screening parameters and recalculate the comprehensive screening efficiency index, and compare it with the preset threshold again;

[0128] In response to the comprehensive screening efficiency index being not less than the preset threshold, screen the material based on the current screening parameters.

[0129] It is known by common technical knowledge that the present invention can be implemented by other embodiments that do not depart from its spiritual essence or essential features. Therefore, the above-disclosed embodiments are illustrative in all aspects and not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are encompassed by the present invention.

[0130] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0131] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems) and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0132] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Therefore, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: still can modify the specific implementation manners of the present invention or make equivalent replacements, and any modification or equivalent replacement that does not deviate from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A material screening method based on a multi-layer sieve, characterized in that It includes: Obtaining material parameters of the material to be screened through sensors; Calculating the screen vibration frequency and the material passing probability based on the material parameters; After calculating the comprehensive screening efficiency index based on the screen vibration frequency and the material passing probability, comparing it with a preset threshold; In response to the comprehensive screening efficiency index being less than the preset threshold, adjusting the screening parameters and then recalculating the comprehensive screening efficiency index, and comparing it with the preset threshold again; In response to the comprehensive screening efficiency index being not less than the preset threshold, screening the material based on the current screening parameters.

2. The method for screening materials based on a multi-layer sieve according to claim 1, wherein The calculation formula for the screen vibration frequency is: In the formula, f: vibration frequency; K1: screen material correction coefficient; ρ: material density; η: material moisture content; davg: average particle size of the material.

3. The method for screening materials based on a multi-layer sieve according to claim 1, characterized in that, The calculation formula for the material passing probability is: In the formula, P: probability of the material passing through the current screen; K2: screening efficiency coefficient; davg: average particle size of the material; dmesh: aperture of the current screen.

4. The method for screening materials based on a multi-layer sieve according to claim 1, characterized in that The calculation formula for the comprehensive screening efficiency index is: In the formula, E: comprehensive screening efficiency index; K3: system comprehensive correction coefficient; f: vibration frequency; P: probability of the material passing through the current screen; θ: screen inclination angle; t: screening duration.

5. The method for screening materials based on a multi-layer sieve according to claim 2, characterized in that, The screen material correction coefficient is divided according to the screen material. Among them, the calibration range of the stainless steel screen is [0.8, 1.2], the calibration range of the polyurethane screen is [1.4, 1.8], and the calibration range of the nylon screen is [1.0, 1.4].

6. The method for screening materials based on a multi-layer sieve according to claim 3, characterized in that, The screening efficiency coefficient is divided according to the fluidity of the material. Among them, the calibration range of the dry material is [2.0, 3.0], and the calibration range of the wet material is [1.0, 2.0].

7. The material screening method based on a multi-layer sieve according to claim 4, characterized in that The system comprehensive correction coefficient adjusts the combination of the vibration frequency, inclination angle, and screening duration under a fixed screening efficiency target, and the calibration range obtained by inverse deduction through a multivariable optimization algorithm is [0.5, 1.5].

8. A material screening system based on a multi-layer sieve, characterized in that, It includes: Parameter acquisition module: Obtaining material parameters of the material to be screened through sensors; Data calculation module: Calculating the screen vibration frequency and the material passing probability based on the material parameters; Data comparison module: After calculating the comprehensive screening efficiency index based on the screen vibration frequency and the material passing probability, comparing it with a preset threshold; Screening execution module: In response to the comprehensive screening efficiency index being less than the preset threshold, adjusting the screening parameters and then recalculating the comprehensive screening efficiency index, and comparing it with the preset threshold again; In response to the comprehensive screening efficiency index being not less than the preset threshold, screening the material based on the current screening parameters.

9. A material screening device based on a multi-layer sieve, characterized in that, It includes a processor and a storage medium; The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 7.

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