Ingredient quantity control intelligent conveyor for puffed food processing

Abstract

The invention is suitable for the field of intelligent conveying devices, and provides an intelligent conveyor for controlling the quantity of ingredients for puffed food processing, the intelligent conveyor comprises a conveying sleeve, the two ends of the conveying sleeve are respectively communicated with a discharging pipe, a pushing mechanism is arranged in the conveying sleeve, the pushing mechanism comprises a motor, the motor is fixedly connected with the conveying sleeve, and the motor is connected with the conveying sleeve. An output shaft of the motor is fixedly connected with a rotating shaft, the rotating shaft is spirally provided with a material pushing pore plate in the length direction, a plurality of air outlet holes are formed in the rotating shaft, the rotating shaft is connected with an air pump in a rotating and communicating mode, a heater is arranged in the rotating shaft, and the rotating shaft is further connected with a plurality of vibration mechanisms. And a filtering mechanism for filtering crushed materials is arranged at the bottom of the conveying sleeve. According to the invention, self-adaptive adjustment of the power of the air pump along with temperature, material characteristics and conveying efficiency is realized. In a high temperature environment, the power compensation term can automatically boost airflow intensity to maintain delivery stability.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent conveying devices, and in particular relates to an intelligent conveyor for controlling the amount of ingredients used in puffed food processing. Background Art

[0002] In the field of puffed food processing, precise delivery and quality control of ingredients are key links in determining product taste and consistency.

[0003] Traditional conveying equipment has many technical bottlenecks: First, in terms of material adaptability, conventional screw conveyors cannot sense changes in material dryness and particle size in real time, which makes it easy for materials to become clogged or stratified during the conveying process; second, in terms of conveying efficiency, the pushing mechanism of existing equipment adopts a fixed speed mode and fails to coordinate control with the inclination angle of the pushing orifice plate, resulting in large fluctuations in the conveying volume and difficulty in precise adjustment; third, in terms of the filtration system, the static screen structure cannot dynamically adjust the filtration aperture according to the material characteristics, and lacks linkage control with the vibration mechanism and the pushing mechanism, resulting in incomplete filtering of crushed materials or frequent blockages; finally, in terms of energy utilization, the traditional air pump system adopts a constant power operation mode and cannot be dynamically adjusted according to the real-time conveying status, material characteristics and ambient temperature, which not only causes energy waste but also affects the conveying effect.

[0004] These problems seriously restrict the automation level and product quality stability of puffed food production. Existing technology urgently needs an integrated conveying solution that can realize intelligent perception of material status, dynamic optimization of conveying parameters, and precise adjustment of airflow intensity. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide an intelligent conveyor for controlling the amount of ingredients used in puffed food processing, which aims to solve the problem that the air pump system of traditional conveying equipment adopts a constant power operation mode and cannot be dynamically adjusted according to the real-time conveying status, material characteristics and ambient temperature.

[0006] The present invention is achieved as follows: an intelligent conveyor for controlling the amount of ingredients used in puffed food processing comprises a conveying sleeve, wherein both ends of the conveying sleeve are respectively connected to a discharge pipe, a pushing mechanism is provided in the conveying sleeve, and the pushing mechanism comprises a motor, which is fixedly connected to the conveying sleeve, and the output shaft of the motor is fixedly connected to a rotating shaft, and a pushing orifice plate is spirally provided along the length direction of the rotating shaft, a plurality of air outlets are provided on the rotating shaft, and the rotating shaft is connected to an air pump by rotation, a heater is provided in the rotating shaft, and a plurality of vibration mechanisms are further connected to the rotating shaft, and a filtering mechanism for filtering crushed materials is provided at the bottom of the conveying sleeve;

[0007] Airflow intensity optimization system, comprising:

[0008] The data acquisition module can obtain the dryness and particle size information of the material, as well as the working status information of the pushing mechanism, filtering mechanism, vibration mechanism and heater;

[0009] Feeding state assessment module, which can build a feeding state assessment model based on the dryness and particle size of the material during feeding and output the feeding state assessment coefficient;

[0010] Feeding speed evaluation module, which builds a feeding speed evaluation model based on the motor speed and the inclination angle of the pusher plate, and outputs the feeding speed evaluation coefficient;

[0011] The filtration efficiency evaluation module builds a filtration efficiency evaluation model based on the aperture of the pusher plate, the filtration aperture of the filtration mechanism, and the vibration frequency of the vibration mechanism, and outputs a filtration efficiency evaluation coefficient;

[0012] Conveying state evaluation module; it builds a conveying state evaluation model based on the feeding speed evaluation coefficient and the filtration efficiency evaluation coefficient, and outputs the conveying state evaluation coefficient;

[0013] Airflow intensity adjustment module: It builds an airflow intensity adjustment model based on the basic air pump power, heater heating temperature, conveying state evaluation coefficient, and feeding state evaluation coefficient, and outputs the target air pump power.

[0014] According to a further technical solution, the filtering mechanism includes a filtering orifice plate, an adjusting orifice plate and an electric telescopic rod;

[0015] A filter plate is provided at the bottom of the conveying sleeve, an adjustment plate is provided outside the filter plate, the adjustment plate is slidably connected to the outer wall of the conveying sleeve, and a retractable electric telescopic rod is connected between the adjustment plate and the conveying sleeve.

[0016] According to a further technical solution, the vibration mechanism includes a vibration rod and a rubber pad. The vibration rod is horizontally slidably connected to the rotating shaft. A rubber pad is provided between the vibration rod and the rotating shaft. A vibrator is provided at the end of the vibration rod in the rotating shaft.

[0017] Further technical solution, the feed state assessment model is:

[0018] ;

[0019] in Indicates the dryness of the material. Indicates the particle size of the material. represents the dryness weight coefficient, represents the particle size weight coefficient, is the feed state evaluation coefficient.

[0020] Further technical solutions, the data acquisition module includes a data processor, the data processor is electrically connected with the motor through the PLC controller, the data processor can acquire and record the real-time rotating speed of the motor, the real-time rotating speed of the motor is divided by the rated rotating speed of the motor to obtain the rotating speed index of the motor, the feed speed evaluation model is:

[0021] ;

[0022] Wherein is the rotating speed index of the motor; is the inclination of the motor, measured from the horizontal plane, in degrees; is the rotating speed coefficient, which can be determined by experiment or production experience value; is the feed speed evaluation coefficient.

[0023] Further technical solutions, the data processor is electrically connected with the vibrator through the PLC controller, the real-time vibration frequency of the vibrator can be acquired through the data processor, the real-time vibration frequency of the vibrator is divided by the rated vibration frequency of the vibrator to obtain the vibration frequency index of the vibrator; The hole diameter of the push hole plate is divided by the standard hole diameter of the push hole plate to obtain the first hole diameter index, and the filter hole diameter of the filter mechanism is divided by the standard filter hole diameter of the filter mechanism to obtain the second hole diameter index;

[0024] The filter efficiency evaluation model is:

[0025] ;

[0026] Wherein is the first hole diameter index, is the second hole diameter index, is the vibration frequency index, is the filter efficiency coefficient, which can be determined by experiment or production experience value; is the filter efficiency evaluation coefficient.

[0027] Formula explanation: the filter efficiency is proportional to the vibration frequency, and the filter efficiency is proportional to the square of the hole diameter. The square of the hole diameter is used because the filter efficiency is related to the hole area.

[0028] Further technical solutions, the conveying state evaluation model is:

[0029] ;

[0030] Wherein is the conveying state adjustment coefficient, is the conveying state evaluation coefficient, is the conveying state evaluation coefficient.

[0031] Further technical solutions, the data acquisition module further includes a temperature sensor, the temperature sensor is arranged in the conveying sleeve, the temperature sensor can acquire the real-time temperature in the conveying sleeve, the real-time temperature in the conveying sleeve is divided by the reference ambient temperature to obtain the temperature index, the airflow intensity adjustment model is:

[0032] ;

[0033] Wherein is the rated power of the motor, is the temperature index, is the state gain coefficient, is the state denominator offset coefficient, , The specific value of the above formula can be determined by experiment or production experience value; is the target power.

[0034] Compared with the prior art, the beneficial effects of the present application are:

[0035] The present application realizes the self-adaptive adjustment of the air pump power with temperature, material characteristics and conveying efficiency. In a high temperature environment, the power compensation term can automatically increase the airflow intensity to maintain the stability of the conveying; when the material dryness or granularity is small, the power adjustment mechanism can enhance the pushing effect of the airflow on the material to prevent blockage; when the conveying efficiency decreases, the power increase can accelerate the filtering of the crushed material and reduce the frequency of equipment downtime cleaning. Therefore, the dynamic optimization of airflow intensity not only reduces energy waste, but also improves the continuity and quality control accuracy of the expanded food ingredient conveying.

[0036] The filtering efficiency evaluation model reduces the filtering efficiency evaluation coefficient through the square ratio relationship, and drives the system to adjust the vibration frequency to enhance the separation of the crushed material. Therefore, the model couples the dynamic parameters of vibration intensity and aperture size, so that the system can match the vibration frequency and aperture relationship according to the real-time working condition, avoiding the blockage problem caused by fixed aperture or insufficient vibration.

[0037] Compared with the prior art, the traditional expanded food conveying equipment adopts a single layer of fixed aperture filter screen, which cannot dynamically adjust the waste cleaning efficiency according to the material state. The present application realizes stepless adjustment of the aperture through the double-layer hole plate superposition structure combined with electric drive, which can match the material characteristics in real time during continuous production and eliminate the need for shutdown adjustment.

[0038] Compared with the prior art, the traditional vibration mechanism usually adopts a rigid connection mode, and the vibration rod is easy to deviate and jam when the shaft rotates due to centrifugal force, and the vibration energy is greatly lost during transmission. The present application realizes high-efficiency crushed material filtering through the horizontal sliding connection and elastic buffering of the rubber pad, which not only ensures the consistency of the vibration direction, but also reduces energy loss and avoids component wear and tear, and realizes the synergistic effect of vibration and airflow. BRIEF DESCRIPTION OF DRAWINGS

[0039] Figure 1 Schematic diagram of the airflow intensity optimization system of the present invention;

[0040] Figure 2 Schematic diagram of the internal structure of the delivery sleeve in the present invention;

[0041] Figure 3 It is a schematic diagram of the connection between the pushing mechanism and the vibration mechanism;

[0042] Figure 4 It is a structural diagram of the filtering mechanism.

[0043] In the accompanying drawings: 1. Conveying sleeve; 2. Feed funnel; 3. Discharge pipe; 4. Pushing mechanism; 41. Motor; 42. Rotating shaft; 43. Pushing orifice plate; 5. Air outlet; 6. Air pump; 7. Filtering mechanism; 71. Filtering orifice plate; 72. Adjusting orifice plate; 73. Electric telescopic rod; 8. Vibrating mechanism; 81. Vibrating rod; 82. Rubber pad. 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 Figure 1-Figure 4 As shown, an intelligent conveyor for controlling the amount of ingredients for puffed food processing provided by one embodiment of the present invention includes a conveying sleeve 1, wherein both ends of the conveying sleeve 1 are respectively connected to a discharge pipe 3, a pushing mechanism 4 is provided in the conveying sleeve 1, and the pushing mechanism 4 includes a motor 41, which is fixedly connected to the conveying sleeve 1, and the output shaft of the motor 41 is fixedly connected to a rotating shaft 42, and the rotating shaft 42 is spirally provided with a pushing orifice plate 43 along the length direction, a plurality of air outlet holes 5 are provided on the rotating shaft 42, and the rotating shaft 42 is connected to an air pump 6 by rotation, a heater is provided in the rotating shaft 42, and the rotating shaft 42 is also connected to a plurality of vibrating mechanisms 8, and a filtering mechanism 7 for filtering crushed materials is provided at the bottom of the conveying sleeve 1;

[0047] Airflow intensity optimization system, comprising:

[0048] A data acquisition module, which can obtain information on the dryness and particle size of the material, as well as the working status information of the pushing mechanism 4, the filtering mechanism 7, the vibrating mechanism 8 and the heater;

[0049] Feeding state assessment module, which can build a feeding state assessment model based on the dryness and particle size of the material during feeding and output the feeding state assessment coefficient;

[0050] A feeding speed evaluation module, which constructs a feeding speed evaluation model based on the rotation speed of the motor 41 and the inclination angle of the pusher plate 43, and outputs a feeding speed evaluation coefficient;

[0051] A filtration efficiency evaluation module, which constructs a filtration efficiency evaluation model based on the aperture of the pusher plate 43, the filtration aperture of the filtration mechanism 7, and the vibration frequency of the vibration mechanism 8, and outputs a filtration efficiency evaluation coefficient;

[0052] Conveying state evaluation module; it builds a conveying state evaluation model based on the feeding speed evaluation coefficient and the filtration efficiency evaluation coefficient, and outputs the conveying state evaluation coefficient;

[0053] Airflow intensity adjustment module: It constructs an airflow intensity adjustment model based on the basic air pump 6 power, heater heating temperature, conveying state evaluation coefficient, and feeding state evaluation coefficient, and outputs the target air pump 6 power.

[0054] In the present invention, in the conveying sleeve 1, when the motor 41 drives the rotating shaft 42 to rotate, the spiral pusher orifice plate 43 pushes the material to move axially, and at the same time, the internal heater of the rotating shaft 42 increases the material temperature and improves fluidity. The air pump 6 injects air into the sleeve through the air outlet 5 of the rotating shaft 42 to form a gas-solid two-phase flow conveying environment. The vibration mechanism 8 periodically vibrates the rotating shaft 42 to promote uniform distribution of the material and accelerate the separation of debris. The filtering mechanism 7 adjusts the sieve opening according to the real-time working conditions, forming a synergistic filtering effect with the vibration frequency. The data acquisition module continuously collects the material dryness, particle size and equipment operating parameters, quantifies the difficulty of material conveying through the feeding state evaluation model, calculates the actual conveying volume by combining the rotation speed and the orifice plate inclination angle, and the filtration efficiency evaluation model evaluates the screening efficiency by combining the aperture parameters and the vibration frequency. The conveying state evaluation module integrates the feeding and filtering data, and finally the airflow intensity adjustment module dynamically adjusts the power of the air pump 6 to form a closed-loop control system.

[0055] Compared with existing technologies, traditional equipment using fixed speeds and static screens is unable to respond to changes in material state, resulting in fluctuating conveying efficiency. This solution establishes a multi-parameter evaluation model to dynamically match pushing speed with filtration efficiency. For example, when an increase in material particle size is detected, the vibration frequency is simultaneously increased and the mesh size is enlarged, while the power of air pump 6 is adjusted to maintain conveying stability. Existing airflow systems often experience excess or insufficient airflow when operating at constant power. This solution adjusts airflow intensity based on a combination of temperature, material state, and conveying efficiency, significantly improving energy efficiency.

[0056] Through the technical scheme, the three core problems in the puffing food ingredient conveying are effectively solved: the blockage problem caused by the fluctuation of material dryness and granularity is relieved through dynamic air flow adjustment and vibration dispersion; the conveying efficiency is improved through the cooperative control of the pushing mechanism 4 and the filtering mechanism 7; the power consumption is reduced through the dynamic optimization of the air pump 6. The systematic parameter linkage mechanism ensures stable conveying under different working conditions, and provides reliable guarantee for the quality control of the puffing food production.

[0057] As shown in Figure 4 As a preferred embodiment of the present application, the filtering mechanism 7 includes a filtering hole plate 71, an adjusting hole plate 72 and an electric telescopic rod 73.

[0058] The bottom of the conveying sleeve 1 is provided with the filtering hole plate 71, the outside of the filtering hole plate 71 is provided with the adjusting hole plate 72, the adjusting hole plate 72 is in sliding connection with the outer wall of the conveying sleeve 1, and the electric telescopic rod 73 is connected between the adjusting hole plate 72 and the conveying sleeve 1.

[0059] In this embodiment, the filtering hole plate 71 refers to a porous structure fixed at the bottom of the conveying sleeve 1, which can be realized by a punched stainless steel plate, and is used for preliminarily intercepting the debris in the material. The adjusting hole plate 72 refers to a sliding porous plate covering the outside of the filtering hole plate 71, which can be realized by a movable plate body made of the same material as the filtering hole plate 71, and the degree of overlap of the hole positions of the adjusting hole plate 72 and the filtering hole plate 71 is changed through lateral displacement. The electric telescopic rod 73 refers to a power component for driving the sliding of the adjusting hole plate 72, which can be realized by a linear push rod driven by the servo motor 41, and is used for accurately controlling the displacement of the adjusting hole plate 72.

[0060] Specifically, the filtering hole plate 71 serves as a basic filter layer, and the hole diameter is set as a fixed value. The adjusting hole plate 72 forms a movable pair with the outer wall of the conveying sleeve 1 through a sliding connection structure, and the telescopic end of the electric telescopic rod 73 is fixedly connected with the adjusting hole plate 72. When the electric telescopic rod 73 pushes the adjusting hole plate 72 to move laterally, the hole positions of the adjusting hole plate 72 are offset relative to the filtering hole plate 71. When the hole positions of the two hole plates are completely aligned, the effective filtering hole diameter reaches the maximum value; when the adjusting hole plate 72 moves to partially misalign the hole positions, the effective filtering hole diameter decreases by the misalignment ratio. When the debris content is high, the adjusting hole plate 72 is moved to increase the effective filtering hole diameter, thereby enhancing the cleaning efficiency of the debris.

[0061] Compared with the prior art, the traditional puffing food conveying equipment adopts a single-layer fixed-hole-diameter filter screen, and cannot dynamically adjust the waste cleaning efficiency according to the material state. The present scheme realizes stepless adjustment of the hole diameter through a double-layer hole plate superposition structure combined with electric driving, matches the material characteristics in real time in the continuous production process, and eliminates the need for stoppage adjustment.

[0062] As Figure 3 As shown, as a preferred embodiment of the present invention, the vibration mechanism 8 includes a vibration rod 81 and a rubber pad 82. The vibration rod 81 is horizontally slidably connected to the rotating shaft 42. A rubber pad 82 is arranged between the vibration rod 81 and the rotating shaft 42. A vibrator is arranged at the end of the vibration rod 81 in the rotating shaft 42.

[0063] In this embodiment, the horizontal sliding connection refers to the relative sliding between the vibration rod 81 and the rotating shaft 42 via an axial slide rail or guide groove, ensuring that the vibration rod 81 can move freely axially when the rotating shaft 42 rotates. The rubber pad 82 is a buffer component made of elastic material that absorbs vibration shock and transmits vibration energy through elastic deformation. The vibrator is a device that generates periodic mechanical vibration. Specifically, it can be implemented as an electromagnetic vibrator or an eccentric wheel structure, which directly acts on the interior of the rotating shaft 42 to transmit vibration.

[0064] Specifically, the vibration rod 81 is mounted on the rotating shaft 42 by a horizontal sliding connection, so that the vibration rod 81 can move axially when the rotating shaft 42 rotates, avoiding the problem of jamming caused by centrifugal force. The rubber pad 82 is arranged between the vibration rod 81 and the rotating shaft 42. When the vibrator is started, the rubber pad 82 cushions the vibration impact through elastic deformation, and at the same time transfers the vibration energy to the surface of the rotating shaft 42. During the rotation of the rotating shaft 42, the vibration generated by the vibrator at the end of the vibration rod 81 is amplified by the rubber pad 82, and then acts together with the airflow from the air outlet 5 on the surface of the rotating shaft 42 to promote the separation of material particles from the surface of the pusher plate 43 and accelerate them through the filter mechanism 7. The vibration energy is transmitted elastically and synergistically with the axial sliding, which not only reduces mechanical wear but also enhances the efficiency of crushed material screening.

[0065] Compared to existing technologies, traditional vibration mechanisms 8 typically use rigid connections. This can easily cause the vibration rod 81 to deflect and become stuck due to centrifugal force when the shaft 42 rotates, and significant vibration energy loss occurs during transmission. This solution utilizes a horizontal sliding connection and elastic cushioning provided by the rubber pad 82 to ensure consistent vibration direction while reducing energy loss and component wear, achieving efficient debris filtration through the synergistic effects of vibration and airflow.

[0066] Through the above technical solution, the present application solves the problems of low vibration energy transmission efficiency and material clogging of the screen in traditional equipment, realizes the stable operation of dynamic adaptation of the vibration mechanism 8 and the rotating shaft 42, improves the crushed material filtration efficiency and extends the service life of the equipment.

[0067] As a preferred embodiment of the present invention, the data acquisition module further includes a resistive humidity sensor and a laser particle size analyzer, and the feed state evaluation model is:

[0068] ;

[0069] in Indicates the dryness of the material. Indicates the particle size of the material. represents the dryness weight coefficient, represents the particle size weight coefficient, is the feed state evaluation coefficient.

[0070] In this embodiment, dryness refers to the quantitative index of the moisture content of the material, which can be measured in real time using a resistive humidity sensor. Its value range can be set to 0 to 1, and is used to characterize the fluidity and adhesion tendency of the material. Among them, particle size refers to the statistical parameter of the particle size distribution of the material, which can be obtained using a laser particle size analyzer. Its value can be expressed as the average particle size or the standard deviation of the particle size distribution, which is used to reflect the friction resistance and stratification risk of the material during transportation. Among them, the weight coefficient 、 Refers to the contribution ratio of dryness and particle size to the evaluation results. It can be determined through experimental calibration or production data fitting. For example, when the material viscosity is high, the dryness weight coefficient is increased. , increase the particle size weight coefficient when the material particle size difference is significant .

[0071] Specifically, when the material enters the conveying sleeve 1, the dryness and particle size data are collected synchronously and input into the evaluation model. and particle size weight coefficient Preset settings are based on material type and process requirements. For example, for hygroscopic starch materials, the dryness weighting coefficient can be set to 0.6, and the particle size weighting coefficient to 0.4. For grain materials with uniform particles, the particle size weighting coefficient can be increased to 0.7. The model calculates the feed state assessment coefficient through linear superposition, which directly reflects the comprehensive conveying characteristics of the material. When the assessment coefficient is lower than the set threshold, it indicates that the material is at risk of insufficient fluidity, triggering the airflow intensity adjustment module to increase the power of air pump 6 to enhance material conveying power. When the assessment coefficient is too high, the power of air pump 6 is reduced to avoid energy waste.

[0072] Compared to existing technologies, traditional conveying equipment relies solely on manual experience to adjust parameters, making it impossible to quantitatively assess the impact of material state changes on the conveying process. This solution, by establishing a dynamic weighted model for dryness and particle size, achieves real-time digital characterization of material conveying characteristics, resolving the control lag caused by material state fluctuations in traditional methods.

[0073] Through the above technical solution, the present application can automatically adjust the power output of the air pump 6 according to the real-time changes in the dryness and particle size of the material, effectively preventing the pushing mechanism 4 from being blocked due to excessive moisture content of the material, while avoiding the material stratification phenomenon caused by particle size differences, and ensuring the continuity and stability of the puffed food ingredient conveying process.

[0074] As a preferred embodiment of the present invention, the data acquisition module includes a data processor, which is electrically connected to the motor 41 through a PLC controller. The data processor can obtain and record the real-time speed of the motor 41, and divide the real-time speed of the motor 41 by the rated speed of the motor 41 to obtain the speed index of the motor 41. The feed speed evaluation model is:

[0075] ;

[0076] in is the speed index of the motor 41; The inclination angle is 43 degrees (measured from the horizontal plane); is the speed coefficient, and its specific value can be determined through experiments or production experience; is the feed rate evaluation coefficient.

[0077] In this embodiment, the data processor refers to a control unit for collecting and processing the operating data of the motor 41. Specifically, it can be implemented using an industrial-grade embedded processor. Its function is to convert the real-time speed signal into a standardized speed index to provide input for model calculation. The PLC controller refers to a programmable logic controller. Specifically, it is implemented using a modular controller with a communication interface. Its function is to realize signal interaction between the data processor and the motor 41. The speed index refers to the ratio of the real-time speed of the motor 41 to the rated speed. Specifically, it is implemented through a division operation. Its function is to unify the speeds of motors 41 of different specifications into a dimensionless parameter to facilitate universal model calculation. The inclination angle of the pusher plate 43 refers to the angle between the pusher plate 43 and the horizontal plane. Specifically, it is implemented using an angle sensor or a mechanical measuring tool. Its function is to quantify the actual propulsion efficiency of the material on the inclined pusher plate through a cosine function. The speed coefficient refers to a parameter used to adjust the influence of the speed on the feeding speed. Specifically, it is determined through experimental calibration or empirical database matching. Its function is to dynamically adapt the model according to equipment or material differences.

[0078] Specifically, the data processor obtains the speed signal of the motor 41 in real time through the PLC controller, and divides the real-time speed by the rated speed to obtain the speed index. The inclination angle of the push orifice plate 43 is obtained by the measuring device and input into the model. The feeding speed evaluation model multiplies the speed index by the cosine value of the inclination angle, and then multiplies it by the speed coefficient to output the feeding speed evaluation coefficient. This coefficient reflects the dynamic changes in the actual conveying efficiency. When the speed increases, the speed index increases. However, if the inclination angle is too large, the cosine value decreases, which can suppress the false increase in conveying efficiency caused by material slippage. The speed coefficient can be calibrated according to different equipment models or material characteristics. For example, when conveying high-viscosity materials, the propulsion resistance can be compensated by increasing the speed coefficient.

[0079] Compared to existing technologies, traditional conveying equipment relies solely on a fixed motor 41 speed to control feed rate, without considering the impact of the inclination angle of the pusher plate 43 on the actual material propulsion efficiency. This solution introduces a cosine function for the inclination angle, dynamically coupling mechanical structural parameters with the speed of motor 41, thereby addressing the problem of fluctuating conveying volume due to inclination angle variations. While existing technologies adjust speed and inclination angle independently, this solution achieves coordinated optimization of both through a nonlinear model, avoiding the negative effects of adjusting a single parameter.

[0080] Through the above technical solution, this application can dynamically evaluate the feed speed based on the actual operating status of motor 41 and the structural parameters of pusher plate 43, suppressing material slippage caused by excessive inclination angles and improving conveying stability. Furthermore, the introduction of a speed coefficient allows the model to adapt to different equipment or material scenarios, resolving the lack of adaptability caused by the rigid parameters of traditional equipment.

[0081] As a preferred embodiment of the present invention, the data processor is electrically connected to the vibrator via a PLC controller. The data processor can obtain the real-time vibration frequency of the vibrator, and the real-time vibration frequency of the vibrator is divided by the rated vibration frequency of the vibrator to obtain the vibration frequency index of the vibrator; the aperture of the pusher orifice plate 43 is divided by the standard aperture of the pusher orifice plate 43 to obtain the first aperture index, and the filtration aperture of the filter mechanism 7 is divided by the standard filtration aperture of the filter mechanism 7 to obtain the second aperture index;

[0082] The filtration efficiency evaluation model is:

[0083] ;

[0084] in is the first aperture index, is the second aperture index, is the frequency index, is the filtration efficiency coefficient, and its specific value can be determined through experiments or production experience; is the filtration efficiency evaluation coefficient.

[0085] Formula Explanation: Filtration efficiency is proportional to the vibration frequency (vibration promotes particle filtration), and filtration efficiency is proportional to the square of the pore size (the larger the pore size, the higher the filtration efficiency). The square of the pore size is used (rather than the diameter) because filtration efficiency is related to the pore area.

[0086] In this embodiment, the vibration frequency index refers to the ratio of the real-time vibration frequency of the vibrator to the rated vibration frequency, which can be obtained by collecting the running frequency data of the vibrator through the PLC controller and calculating it, and is used to quantify the screening effect of the vibration intensity on the crushed materials. The first aperture index refers to the ratio of the actual aperture of the pushing hole plate 43 to the standard aperture, which can be obtained by measuring the aperture parameters of the pushing hole plate 43 and calculating it, and is used to reflect the influence of the aperture change of the pushing hole plate 43 on the flow cross-sectional area of the materials. The second aperture index refers to the ratio of the actual filtering aperture of the filtering mechanism 7 to the standard filtering aperture, which can be obtained by adjusting the electric telescopic rod 73 to change the relative position of the adjusting hole plate 72 and the filtering hole plate 71 and then measuring it, and is used to represent the dynamic change of the actual effective aperture of the filtering mechanism 7. The filtering efficiency evaluation model combines the square ratio relationship of the vibration frequency index and the aperture index, and the filtering efficiency coefficient can be determined by experimental calibration or empirical value , which is used to dynamically associate the physical relationship between the vibration intensity, the aperture size and the filtering efficiency.

[0087] Specifically, the data processor reflects the separation promoting effect of the current vibration intensity on the crushed materials by collecting the vibration frequency in real time and calculating the vibration frequency index; and generates the first aperture index and the second aperture index by comparing the actual apertures of the pushing hole plate 43 and the filtering mechanism 7 with the standard values respectively, so as to quantify the influence of the aperture change on the filtering area. In the filtering efficiency evaluation model, the vibration frequency index is positively correlated with the filtering efficiency, which embodies the effect of vibration on the passage of crushed materials through the pushing hole plate 43 and the filtering mechanism 7; and the square ratio relationship of the aperture index is based on the physical principle that the filtering efficiency is determined by the aperture area, which emphasizes the significant influence of the aperture change on the filtering effect. For example, when the aperture of the filtering mechanism 7 decreases due to the blockage of the materials, the second aperture index decreases, and the model reduces the filtering efficiency evaluation coefficient through the square ratio relationship, so as to drive the system to adjust the vibration frequency to enhance the separation of the crushed materials. Thus, the model couples the dynamic parameters of the vibration intensity and the aperture size, so that the system can match the vibration frequency and the aperture relationship according to the real-time working condition, and avoid the blockage problem caused by the fixed aperture or insufficient vibration.

[0088] Compared with the prior art, the traditional filtering device relies on fixed aperture screens and constant vibration frequency, and cannot dynamically adjust the parameters according to the material state, resulting in the accumulation of crushed materials or the insufficient penetration rate of the filtering device. The present scheme establishes a dynamic correlation model of the vibration frequency index and the aperture index to realize the cooperative optimization of the vibration frequency and the aperture change.

[0089] Through the above technical scheme, the present application can dynamically adjust the matching relationship between the vibration frequency and the aperture according to the real-time working condition, automatically optimize the filtering efficiency of the crushed materials when the dryness or granularity of the materials fluctuates, and prevent the pushing hole plate 43 or the filtering mechanism 7 from being blocked; at the same time, by quantifying the influence of the aperture change on the filtering area, the problem of insufficient filtering efficiency caused by the fixed aperture can be avoided, and the stability and continuity of the separation of the crushed materials in the expanded food ingredient conveying process can be ensured.

[0090] As a preferred embodiment of the present invention, the transport state assessment model is:

[0091] ;

[0092] in is the transport state adjustment coefficient, is the transport status evaluation coefficient, is the transport status evaluation coefficient.

[0093] In this embodiment, the transport state adjustment coefficient Refers to the dynamic parameters used to correct the model output, which can be determined through experiments or production experience values, and is used to adjust the weight of the evaluation results according to the actual working conditions. Refers to the parameters that comprehensively characterize the overall operating status of the conveying system.

[0094] Specifically, the feed speed evaluation coefficient and the filtration efficiency evaluation coefficient are input into the model. When the feed speed is too fast but the filtration efficiency is low, the product result will be significantly reduced, and the air pump 6 needs to increase its power. When the feed speed decreases and the filtration efficiency increases, the product result will increase, and the air pump 6 power needs to be reduced. This allows the evaluation model to adapt to different material characteristics and equipment wear conditions. By dynamically coupling feed rate and filtration efficiency parameters, the model avoids control deviations caused by single parameter evaluation and ensures that the conveying system is always in the optimal operating range.

[0095] Compared to existing technologies, traditional methods typically monitor motor 41 speed or filter aperture independently, without establishing a correlation model between feed rate and filtration efficiency. Existing technologies assess conveying status based solely on a single parameter threshold, failing to reflect the nonlinear interactions between multiple parameters. This solution quantifies the synergistic effects between parameters through division operations and incorporates dynamic adjustment coefficients to make the assessment results more tailored to complex operating conditions, providing a precise basis for subsequent airflow intensity adjustments.

[0096] Through the above technical solution, this application can accurately identify the matching degree between feed speed and filtration efficiency, avoiding the accumulation of debris caused by an imbalance between the two. By dynamically adjusting the power of air pump 6, the ability to remove debris is increased while maintaining feed efficiency. This model effectively solves the control lag caused by isolated parameter evaluation in traditional equipment, significantly improving the feed stability and energy efficiency of ingredients during puffed food processing.

[0097] As a preferred embodiment of the present application, the data acquisition module further comprises a temperature sensor arranged in the conveying sleeve 1, which can acquire the real-time temperature in the conveying sleeve 1, divide the real-time temperature in the conveying sleeve 1 by the reference ambient temperature to obtain a temperature index, and the airflow intensity adjustment model is:

[0098] ;

[0099] wherein is the rated power of 6, is the temperature index, is the temperature influence coefficient, is the state gain coefficient, is the state denominator offset coefficient, , The specific values of is the target power.

[0100] In this embodiment, the temperature sensor refers to a device for real-time monitoring of the internal temperature of the conveying sleeve 1, for reflecting the degree of heat action of the heater on the material. The temperature index refers to the ratio of the real-time temperature to the reference ambient temperature, which can be calculated by dividing the real-time temperature collected by the temperature sensor by the preset reference temperature, for quantifying the influence of temperature change on airflow demand. The airflow intensity adjustment model refers to a method of dynamically calculating the target power of the air pump 6 through a mathematical formula, which can be realized by multiplying the rated power by the temperature compensation term and dividing by the state-related term, for optimizing and adjusting the airflow intensity by comprehensively considering temperature, material state and conveying efficiency. The temperature influence coefficient refers to the adjustment weight of temperature change on the power of the air pump 6, which can be determined by experiment or empirical value, for compensating the air expansion effect caused by high temperature. The state gain coefficient refers to the gain degree of the feed state and the conveying state on the power adjustment, and the state denominator offset coefficient refers to the offset amount to prevent the denominator from being zero, both of which can be determined by experiment or empirical value, for ensuring the stability of the model under different working conditions.

[0101] Specifically, the temperature sensor is installed inside the conveying sleeve 1, which collects temperature data in real time and transmits them to the data processor. The temperature index is obtained by dividing the real-time temperature by the reference ambient temperature, for example, the reference temperature can be 25℃. When the heater works and the temperature of the conveying sleeve 1 rises, the temperature index increases accordingly, triggering the temperature compensation term in the airflow intensity adjustment model, so that the power of the air pump 6 increases linearly with the temperature, thereby offsetting the influence of the decrease of air density in high temperature environment on the airflow conveying efficiency. At the same time, the feed state evaluation coefficient and the conveying state evaluation coefficient The denominator term entered into the model When the material is too dry or the particles are too large, Increase, or push the material too fast and the filtration efficiency decreases When it decreases, the denominator value decreases, and the target power of air pump 6 increases accordingly to enhance the airflow's ability to dry the material and filter and clean the crushed material. The introduction of avoids the extreme case where the denominator is zero, for example, when and At the same time, when it approaches zero, the model can still maintain basic power output.

[0102] Compared to existing technologies, traditional puffed food conveyors cannot dynamically adjust airflow intensity based on temperature changes, material state, and conveying efficiency, which can easily lead to insufficient airflow at high temperatures or energy waste at low loads. This solution, however, uses a temperature sensor to monitor environmental changes in real time. Combined with a collaborative assessment of feeding and conveying conditions, this allows the power of air pump 6 to be dynamically adjusted based on multi-dimensional parameters. This avoids energy redundancy in fixed-power mode and solves the problem of airflow adaptation under complex operating conditions.

[0103] Through the above-mentioned technical solution, this application achieves adaptive adjustment of air pump 6's power in response to temperature, material characteristics, and conveying efficiency. In high-temperature environments, a power compensation factor automatically increases airflow intensity to maintain conveying stability. When the material is dry or has low particle size, the power adjustment mechanism enhances the airflow's propulsion of the material, preventing blockage. When conveying efficiency decreases, the power increase accelerates the filtration of debris and reduces the frequency of equipment downtime and cleaning. Thus, dynamic optimization of airflow intensity not only reduces energy waste but also improves the continuity and quality control accuracy of puffed food ingredient delivery.

[0104] 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. An intelligent conveyor for controlling the amount of ingredients used in puffed food processing, comprising a conveying sleeve (1), wherein both ends of the conveying sleeve (1) are respectively connected to a discharge pipe (3), a pushing mechanism (4) is provided in the conveying sleeve (1), the pushing mechanism (4) comprises a motor (41), the motor (41) is fixedly connected to the conveying sleeve (1), the output shaft of the motor (41) is fixedly connected to a rotating shaft (42), a pushing orifice plate (43) is spirally provided on the rotating shaft (42) along the length direction, a plurality of air outlet holes (5) are provided on the rotating shaft (42), the rotating shaft (42) is connected to an air pump (6) by rotation, a heater is provided in the rotating shaft (42), the rotating shaft (42) is further connected to a plurality of vibration mechanisms (8), and a filtering mechanism (7) for filtering crushed materials is provided at the bottom of the conveying sleeve (1); Airflow intensity optimization system, comprising: A data acquisition module capable of acquiring information on the dryness and particle size of the material, and simultaneously acquiring information on the working status of the pushing mechanism (4), the filtering mechanism (7), the vibrating mechanism (8) and the heater; Feeding state assessment module, which can build a feeding state assessment model based on the dryness and particle size of the material during feeding and output the feeding state assessment coefficient; A feeding speed evaluation module, which constructs a feeding speed evaluation model based on the rotation speed of the motor (41) and the inclination angle of the pusher hole plate (43), and outputs a feeding speed evaluation coefficient; A filtration efficiency evaluation module, which constructs a filtration efficiency evaluation model based on the aperture of the pusher plate (43), the filtration aperture of the filtration mechanism (7), and the vibration frequency of the vibration mechanism (8), and outputs a filtration efficiency evaluation coefficient; Transport status assessment module; It builds a conveying state evaluation model based on the feeding speed evaluation coefficient and the filtration efficiency evaluation coefficient, and outputs the conveying state evaluation coefficient; Airflow intensity adjustment module: It constructs an airflow intensity adjustment model based on the basic air pump (6) power, heater heating temperature, conveying state evaluation coefficient, and feeding state evaluation coefficient, and outputs the target air pump (6) power.

2. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 1, characterized in that: The filtering mechanism (7) comprises a filtering orifice plate (71), an adjusting orifice plate (72), and an electric telescopic rod (73); A filter plate (71) is provided at the bottom of the conveying sleeve (1), an adjustment plate (72) is provided outside the filter plate (71), the adjustment plate (72) is slidably connected to the outer wall of the conveying sleeve (1), and a retractable electric telescopic rod (73) is connected between the adjustment plate (72) and the conveying sleeve (1).

3. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 1, characterized in that: The vibration mechanism (8) comprises a vibration rod (81) and a rubber pad (82), wherein the vibration rod (81) is horizontally slidably connected to the rotating shaft (42), a rubber pad (82) is provided between the vibration rod (81) and the rotating shaft (42), and a vibrator is provided at the end of the vibration rod (81) in the rotating shaft (42).

4. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 1, characterized in that: The feed state assessment model is: ； in Indicates the dryness of the material. Indicates the particle size of the material. represents the dryness weight coefficient, represents the particle size weight coefficient, is the feed state evaluation coefficient.

5. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 4, characterized in that: The data acquisition module includes a data processor, which is electrically connected to the motor (41) through a PLC controller. The data processor can acquire and record the real-time speed of the motor (41), and divide the real-time speed of the motor (41) by the rated speed of the motor (41) to obtain the speed index of the motor (41). The feed speed evaluation model is: ； in is the speed index of the motor (41); is the inclination angle of (43), in degrees (measured from the horizontal plane); is the speed coefficient, and its specific value can be determined through experiments or production experience; is the feed rate evaluation coefficient.

6. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 5, characterized in that: The data processor is electrically connected to the vibrator through a PLC controller, and the real-time vibration frequency of the vibrator can be obtained through the data processor. The real-time vibration frequency of the vibrator is divided by the rated vibration frequency of the vibrator to obtain the vibration frequency index of the vibrator; the aperture of the pusher orifice plate (43) is divided by the standard aperture of the pusher orifice plate (43) to obtain a first aperture index, and the filtering aperture of the filter mechanism (7) is divided by the standard filtering aperture of the filter mechanism (7) to obtain a second aperture index; The filtration efficiency evaluation model is: ； in is the first aperture index, is the second aperture index, is the frequency index, is the filtration efficiency coefficient, and its specific value can be determined through experiments or production experience; is the filtration efficiency evaluation coefficient.

7. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 6, characterized in that: The transport status assessment model is: ； in is the transport state adjustment coefficient, is the transport status evaluation coefficient, is the transport status evaluation coefficient.

8. The intelligent conveyor for controlling the amount of ingredients used in puffed food processing according to claim 7, characterized in that: The data acquisition module further includes a temperature sensor, which is arranged in the conveying sleeve (1). The temperature sensor can acquire the real-time temperature in the conveying sleeve (1). The real-time temperature in the conveying sleeve (1) is divided by the reference ambient temperature to obtain a temperature index. The airflow intensity adjustment model is: ； in is the rated power of (6), is the temperature index, is the state gain coefficient, is the denominator offset coefficient of the state, 、 The specific value of can be determined through experiments or production experience; is the target power.

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