Rice milling equipment control method and device, computer equipment, medium and rice milling equipment

Abstract

The application relates to a rice milling equipment control method and device, computer equipment, medium and rice milling equipment. The method comprises the following steps: acquiring a sound signal obtained by collecting sound in real time for a rice milling cavity of the rice milling equipment during operation of the rice milling equipment; determining sound wave energy generated when material is milled in the rice milling cavity according to the sound signal; determining a blockage risk level of the rice milling equipment according to the sound wave energy in the case that the rice milling equipment has a material blockage risk based on the sound wave energy; and controlling the operation of the rice milling equipment according to a response strategy matched with the blockage risk level. The method can improve the blockage dredging response rate and blockage cleaning effectiveness of the rice milling equipment.

Description

Technical Field

[0001] This application relates to the field of agricultural and sideline product processing technology, and in particular to a rice milling equipment control method, device, computer equipment, storage medium, and rice milling equipment. Background Technology

[0002] Rice milling equipment is a mechanical device that processes paddy into edible rice while removing inedible parts such as the husk and bran. In household rice milling equipment, timely removal of the rice bran is crucial to ensuring both rice quality and equipment safety during processing.

[0003] Traditional rice milling equipment control methods mainly rely on motor current feedback or air duct negative pressure monitoring. These methods have obvious lag. For example, when the current rises abnormally or the air resistance increases sharply, rice bran often accumulates in large quantities in the machine cavity and causes violent friction, leading to local overheating or even "burning" of the rice grains, resulting in nutrient loss and taste deterioration. At this time, protective shutdown not only increases the difficulty of cleaning and maintenance costs, but also seriously affects the processing precision and food safety of rice. Summary of the Invention

[0004] Therefore, it is necessary to provide a rice milling equipment control method, device, computer equipment, computer-readable storage medium, and rice milling equipment that can improve the response rate and effectiveness of clogging removal in rice milling equipment, in order to address the above-mentioned technical problems.

[0005] Firstly, this application provides a method for controlling a rice milling device. The method includes:

[0006] Acquire sound signals from the rice milling chamber of the rice milling equipment during real-time sound acquisition during the operation of the rice milling equipment;

[0007] Based on the sound signal, determine the sound wave energy generated when the material is ground in the rice milling chamber;

[0008] If it is determined that there is a risk of material blockage in the rice milling equipment based on the sound wave energy, the blockage risk level of the rice milling equipment shall be determined according to the sound wave energy.

[0009] The rice milling equipment is controlled to operate according to a response strategy that matches the level of blockage risk.

[0010] In one embodiment, determining the clogging risk level of the rice milling equipment based on the sound wave energy, when it is determined that the rice milling equipment has a risk of material blockage based on the sound wave energy, includes:

[0011] If the sound wave energy is greater than a preset warning energy threshold and the duration is greater than a duration threshold, it is determined that the rice milling equipment is at risk of material blockage.

[0012] The sound wave energy is compared with a preset intervention energy threshold. If the sound wave energy is less than or equal to the preset intervention energy threshold, the blockage risk level of the rice milling equipment is determined to be a warning level.

[0013] If the sound wave energy is greater than the preset intervention energy threshold, then the blockage risk level of the rice milling equipment is determined to be an intervention level.

[0014] In one embodiment, the rice milling equipment includes a screw drive assembly and a first vibration assembly disposed at the feed inlet of the rice milling equipment;

[0015] The step of controlling the operation of the rice milling equipment according to a response strategy matched to the blockage risk level includes:

[0016] When the blockage risk level is a warning level, obtain the warning vibration frequency and warning screw speed corresponding to the warning level;

[0017] The first vibration component is controlled to operate according to the warning vibration frequency, and the screw drive component is controlled to operate according to the warning screw speed, thereby reducing the screw speed of the feed screw in the rice milling equipment.

[0018] In one embodiment, the rice milling device includes a screw drive assembly, a blowing assembly disposed within the rice milling chamber, and a second vibration assembly disposed outside the bran discharge pipe of the rice milling device;

[0019] The step of controlling the operation of the rice milling equipment according to a response strategy matched to the blockage risk level includes:

[0020] If the blockage risk level is at the intervention level, control the screw drive assembly to stop operating;

[0021] Obtain the intervention vibration frequency and intervention fan speed corresponding to the intervention level;

[0022] The second vibration component is controlled to operate according to the intervention vibration frequency, and the blower component is controlled to operate according to the intervention fan speed, thereby increasing the operating wind speed of the blower component.

[0023] In one embodiment, the method further includes:

[0024] If the runtime of the response strategy reaches a preset runtime threshold, the first real-time sound signal inside the rice milling cavity is acquired.

[0025] If the first real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, the screw drive assembly is started and operated according to the initial feeding speed.

[0026] After the screw drive assembly has been running for a preset period of time, a second real-time sound signal is acquired inside the rice milling chamber;

[0027] When the second real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, the target feeding speed of the screw drive assembly is determined according to the preset speed growth rate and the current operating speed of the screw drive assembly.

[0028] The screw drive assembly is controlled to operate according to the target feeding speed. The process then returns to the step of acquiring the second real-time sound signal in the rice milling chamber after the screw drive assembly has been running for a preset time, until the target feeding speed reaches the safe flow rate threshold or all the material has been milled.

[0029] In one embodiment, determining the sound wave energy generated when the material is milled in the rice milling chamber based on the sound signal includes:

[0030] Based on the type of material in the rice milling chamber, a target acoustic frequency band matching the material is determined from each candidate acoustic frequency band;

[0031] Extract the grinding sound wave signal corresponding to the target sound wave frequency band from the sound signal;

[0032] The grinding sound wave signal is processed by energy conversion to obtain the sound wave energy generated when the material is ground in the rice milling chamber.

[0033] Secondly, this application also provides a rice milling equipment control device. The device includes:

[0034] The sound acquisition module is used to acquire sound signals obtained by real-time sound acquisition of the rice milling chamber of the rice milling equipment during operation.

[0035] The acoustic energy determination module is used to determine the acoustic energy generated when the material is milled in the rice milling chamber based on the acoustic signal.

[0036] The blockage risk assessment module is used to determine the blockage risk level of the rice milling equipment based on the sound wave energy when it is determined that there is a risk of material blockage in the rice milling equipment based on the sound wave energy.

[0037] The anti-blockage operation module is used to control the operation of the rice milling equipment according to a response strategy that matches the blockage risk level.

[0038] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the above-described method.

[0039] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps of the above-described method.

[0040] Fifthly, this application also provides a rice milling device. The rice milling device includes a rice milling chamber, a sound acquisition component disposed within the rice milling chamber, and a controller communicatively connected to the sound acquisition component;

[0041] The sound acquisition component is used to acquire sound from the rice milling chamber in real time.

[0042] The controller is used to perform the steps of the above method.

[0043] The aforementioned rice milling equipment control method, device, computer equipment, storage medium, and rice milling equipment acquire sound signals obtained in real-time from the sound collection of the rice milling chamber during the operation of the rice milling equipment. Based on the sound signals, the sound wave energy generated when the material is ground within the milling chamber is determined. This sound wave energy can be used as a direct physical mapping indicator of the material's grinding state. Since blockages typically involve low-frequency friction noise and high-frequency intermittent impact noise, by capturing the sound wave characteristics generated by the grinding of material within the milling chamber in real time, even if the rice milling equipment is only in the early stages of blockage, the risk of blockage can be accurately identified, improving the blockage clearing response rate of the rice milling equipment. Furthermore, if the risk of material blockage is determined based on the sound wave energy, the blockage risk level can be further determined based on the sound wave energy. The operation of the rice milling equipment can then be controlled according to a response strategy matched to the blockage risk level. By using a response strategy matched to the blockage risk level to specifically control the operation of the rice milling equipment, both minor and severe blockages can be effectively cleared by executing the corresponding response strategy, improving the effectiveness of blockage clearing and thus enhancing the reliability of equipment operation and the stability of rice milling quality. Attached Figure Description

[0044] Figure 1 This is a schematic diagram of the structure of a rice milling device in one embodiment;

[0045] Figure 2 This is a schematic diagram of the rice milling equipment in another embodiment;

[0046] Figure 3 This is a schematic diagram of the rice milling equipment in another embodiment;

[0047] Figure 4 This is a flowchart illustrating a rice milling equipment control method in one embodiment;

[0048] Figure 5 This is a flowchart illustrating the process of determining the blockage risk level of a rice milling device based on sound wave energy in one embodiment, where the risk of material blockage in the rice milling device is determined based on sound wave energy.

[0049] Figure 6 This is a schematic diagram illustrating the process of controlling the operation of a rice milling device according to a response strategy matched to the level of blockage risk in one embodiment.

[0050] Figure 7 This is a flowchart illustrating the rice milling equipment control method in another embodiment;

[0051] Figure 8 This is a schematic diagram of a process for determining the sound wave energy generated when material is milled in a rice milling chamber based on sound signals in one embodiment.

[0052] Figure 9 This is a schematic diagram of the structure of a rice milling machine in one embodiment;

[0053] Figure 10 This is a flowchart illustrating the control method for a rice milling device in yet another embodiment;

[0054] Figure 11 This is a structural block diagram of the rice milling equipment control device in one embodiment;

[0055] Figure 12 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0057] The rice milling equipment control method provided in this application embodiment can be applied to, for example... Figure 1 The rice milling equipment shown may include a sound acquisition component 101 and a controller 102 that is communicatively connected to the sound acquisition component 101.

[0058] The sound acquisition component 101 is a device component used for real-time sound acquisition of the rice milling chamber. It is a transducer sensing component that can convert sound pressure fluctuations in the air medium into measurable electrical signals. The sound acquisition component 101 can be set at any designated location on the rice milling equipment, as long as it can acquire the sound signals generated in the rice milling chamber in real time due to material collision, friction, and mechanical vibration.

[0059] In one embodiment, the sound acquisition component 101 may be disposed inside the rice milling chamber of the rice milling device.

[0060] In one embodiment, in order to accurately and comprehensively collect the sound signals generated by the grinding of materials, the sound acquisition component 101 can be set at the outer wall of the rice milling chamber, the bottom of the rice inlet chamber, the outer wall of the bran discharge pipe, etc. of the rice milling equipment.

[0061] In one embodiment, the sound acquisition component 101 can be an acoustic sensor array, such as an acoustic sensor array composed of multiple high-sensitivity microphones, which has a noise reduction function and can filter out the background noise of the fan and focus on the friction sound generated by the grinding of materials.

[0062] The controller 102 is an electronic computing unit with digital logic operations and input / output interfaces. It can judge the input signal according to preset logic rules and output corresponding control commands. In your nano-device, the controller 102 can receive the sound signal obtained by the sound acquisition component 101 through real-time sound acquisition of the rice milling cavity. After internal processing and logic operations, it generates corresponding control commands to control the operation of the rice milling equipment according to a determined response strategy. It is understood that the controller 102 can be an embedded device such as a microcontroller or PLC.

[0063] For example, during the operation of the rice milling equipment, the sound acquisition component 101 continuously acquires sound from the rice milling chamber in real time, obtains corresponding sound signals, and sends the sound signals to the controller 102. The controller 102 receives the sound signals sent by the sound acquisition component 101, determines the sound wave energy generated by the grinding of materials in the rice milling chamber based on the sound signals, and if it determines that there is a risk of material blockage in the rice milling equipment based on the sound wave energy, it determines the blockage risk level of the rice milling equipment based on the sound wave energy, and controls the operation of the rice milling equipment according to a response strategy matching the blockage risk level.

[0064] The aforementioned rice milling equipment is equipped with a sound acquisition component that can collect sound from the milling chamber in real time. By capturing the sound wave characteristics generated by the grinding of materials within the milling chamber, even if the milling equipment is only in the early stages of blockage, it can accurately identify the risk of blockage and improve the blockage clearing response rate. The controller determines the sound wave energy generated by the grinding of materials within the milling chamber based on the sound signal. This sound wave energy can be used as a direct physical mapping indicator of the material grinding state. If a blockage risk is determined based on the sound wave energy, the blockage risk level can be further determined, and the operation of the milling equipment can be controlled according to a response strategy matched to the blockage risk level. By using a response strategy matched to the blockage risk level to specifically control the operation of the milling equipment, both minor and severe blockages can be effectively cleared by executing the corresponding response strategy, improving the effectiveness of blockage clearing and thus enhancing the reliability of equipment operation and the stability of milled rice quality.

[0065] In one embodiment, such as Figure 2 As shown, the rice milling equipment may also include a screw drive assembly 201 and a first vibration assembly 202 disposed at the feed inlet of the rice milling equipment.

[0066] The screw drive assembly 201 is an electromechanical actuator that provides rotational power and torque for the axial propulsion of materials. It can consist of a drive motor and a reduction gear transmission mechanism, and can be connected to the feed screw. The screw drive assembly 201 is communicatively connected to the controller 102, and can receive control signals sent by the controller, converting electrical energy into mechanical rotational kinetic energy to drive the feed screw to rotate at a specific angular velocity, thereby applying a forward thrust to the material.

[0067] In one embodiment, the screw drive assembly 201 may be a motor that is coupled to the feed screw.

[0068] The feed inlet of the rice milling equipment is the entrance for materials to enter the processing area inside the equipment from the external environment. The feed inlet is typically connected to the rice feeding chamber above and the rice milling chamber below. Materials flow from the external environment through the rice feeding chamber and the feed inlet, ultimately entering the rice milling chamber for grinding.

[0069] The first vibration component 202 is an independent functional component installed at the feed inlet of the rice milling equipment. It is used to generate alternating force at a specified frequency under electrical excitation to break the rice bran "bridging" structure that is forming, prevent rice bran from accumulating, and keep the material loose.

[0070] In one embodiment, the first vibration component 202 may be a high-frequency vibrating plate disposed at the feed inlet of the rice milling equipment.

[0071] For example, the controller 102 is communicatively connected to the screw drive assembly 201 and the first vibration assembly 202. When the blockage risk level of the rice milling equipment is determined to be a warning level, the controller 102 can obtain the warning vibration frequency and the warning screw speed corresponding to the warning level. It controls the first vibration assembly 202 to operate according to the warning vibration frequency, thereby breaking the rice bran "bridging" structure that is forming in the rice milling chamber through vibration, preventing rice bran from accumulating and keeping the material loose. At the same time, it controls the screw drive assembly 201 to operate according to the warning screw speed, reducing the screw speed of the feed screw, thereby reducing the material load in the rice milling chamber per unit time and allowing time for airflow to discharge.

[0072] In the above embodiments, by controlling the operation of the first vibration component and the screw drive component, the accumulation of rice bran can be effectively prevented in the early stage of blockage formation, and the fault warning window can be advanced from the "blocked" stage to the "about to stick" stage. This reduces the "burning rice" and jamming problems caused by the lag in physical quantity changes in traditional methods, improves the effectiveness of clearing blockages in rice milling equipment, and thus enhances the ability of rice milling equipment to process high-moisture, sticky rice.

[0073] In one embodiment, such as Figure 3 As shown, the rice milling equipment may also include a screw drive assembly 201, a blowing assembly 301 disposed in the rice milling chamber, and a second vibration assembly 302 disposed outside the bran discharge pipe of the rice milling equipment.

[0074] The blowing assembly 301 is an independent air supply power source installed inside the rice milling chamber. It can convert mechanical energy into gas pressure energy and kinetic energy to generate a directional forced airflow rotating fluid. During the rice milling process, the blowing assembly 301 can inject an airflow with a certain pressure and velocity into the rice milling chamber to blow away the separated rice bran, reduce the material temperature, and assist the material flow.

[0075] In one embodiment, the blowing assembly 301 can be a main fan installed in the rice milling chamber. During the anti-blocking strategy response process, it can work in conjunction with the loosening effect generated by the vibration of the second vibration assembly 302 to blow out the debris.

[0076] Among them, the bran discharge pipe of the rice milling equipment refers to the directional conveying channel that carries the two-phase fluid of rice bran and gas mixture. One end of the bran discharge pipe is connected to the bran discharge outlet of the rice milling chamber, and the other end is a rigid tubular structure that is connected to the external bran collection device or atmospheric environment. Its inner wall surface is in direct contact with the rice bran particles. The airflow generated by the blowing component 301 carries the separated rice bran to the outside of the equipment.

[0077] The second vibration component 302 is an independent vibration generating component installed on the outer wall of the bran discharge pipe. Its function is to generate reciprocating or rotating mechanical vibration under electrical excitation and transmit the vibration through the pipe wall to the inner wall of the pipe, so that the bran powder and other materials attached to or accumulated on the inner surface of the pipe are forced to detach from the wall due to vibration.

[0078] In one embodiment, the second vibration component 302 may be a high-frequency vibrating rod disposed on the outer wall of the bran discharge pipe, which can directly shake off the wet rice bran adhering to the pipe wall and screen through the mechanical waves generated by the high-frequency vibration when started.

[0079] For example, the controller 102 is communicatively connected to the screw drive assembly 201, the blowing assembly 301, and the second vibration assembly 302. When the blockage risk level of the rice milling equipment is determined to be an intervention level, the controller 102 can first directly control the screw drive assembly 201 to stop running and cut off the material supply. At the same time, it acquires the intervention vibration frequency and intervention fan speed corresponding to the intervention level, and controls the second vibration assembly 302 to run according to the intervention vibration frequency. The mechanical waves output by the vibration directly shake off the wet rice bran adhering to the pipe wall and screen. At the same time, it controls the blowing assembly 301 to run according to the intervention fan speed to cooperate with the loosening effect generated by the vibration and blow out the debris.

[0080] In the above embodiments, when the blockage risk level is at the intervention level, it indicates that internal blockage has already occurred in the equipment. Continuing to feed material would only worsen the blockage; instead, feeding is immediately stopped. Simultaneously, through the combined action of vibration and airflow, the accumulated material in the rice milling chamber and bran discharge pipe is forcibly dispersed and dislodged, allowing the blockage to be discharged with the airflow, thus restoring the smooth flow of material within the rice milling chamber. This effectively improves the effectiveness of clearing blockages in rice milling equipment, thereby enhancing the equipment's ability to process high-moisture, sticky rice.

[0081] Based on the same inventive concept, in one embodiment, such as Figure 4 As shown, a rice milling equipment control method is provided, which is applied to... Figure 1 Taking controller 102 as an example, the following steps are included:

[0082] S402, acquire the sound signal obtained by real-time sound acquisition of the rice milling chamber of the rice milling equipment during operation.

[0083] Real-time sound acquisition refers to the continuous and uninterrupted acquisition of sound pressure fluctuations in the rice milling chamber during the operation of the rice milling equipment, and the conversion of these fluctuations into sound signals. Understandably, the sound acquisition component can continuously acquire sound pressure changes within the rice milling chamber at a fixed sampling frequency and convert them into analog or digital signals, which are then sent to the controller.

[0084] The sound signal is the signal information obtained by the sound acquisition component from converting the changes in sound pressure inside the rice milling chamber into continuous analog voltage or digital coded data. It contains comprehensive acoustic information about material collision, milling, and mechanical operation. The sound signal can be time-dependent, with amplitude representing the instantaneous magnitude and direction of the sound pressure, and frequency components reflecting the vibration characteristics of the sound source.

[0085] For example, the controller can acquire sound signals obtained by real-time sound acquisition of the rice milling chamber of the rice milling equipment during operation through the sound acquisition component.

[0086] S404 determines the sound wave energy generated when the material is being ground in the rice milling chamber based on the sound signal.

[0087] The material refers to the solid granular agricultural raw material to be processed, that is, the grain that needs to be fed into the rice milling equipment and undergo milling treatment, usually referring to paddy rice, brown rice, or semi-finished rice grains that have undergone preliminary processing. Understandably, the material has a certain particle size, hardness, moisture content, and flowability, and its movement state in the rice milling chamber directly affects the generation of sound wave energy.

[0088] Among them, sound wave energy is an indicator parameter used to characterize the intensity of the grinding action of materials in the rice milling chamber. It can be understood as a manifested form of processed sound signals. This energy value is positively correlated with the collision frequency, collision velocity, and material density of the material particles, and is an acoustic indicator reflecting the intensity of the grinding load.

[0089] In one embodiment, the sound wave energy is determined based on the sampling point values ​​carried in the sound signal.

[0090] In one embodiment, the sound wave energy E can be determined according to the following function:

[0091]

[0092] Among them, S i This represents the value of the i-th discrete sample point of the sound signal within the time window. The unit can be voltage or digital amplitude, such as an ADC sample value. N is the window size, i.e., the number of sample points within a time window. It is usually set according to the sampling frequency and real-time requirements. For example, when the sampling frequency fs = 16kHz, N = 160, corresponding to a 10ms window. E is the total energy within the window. The unit can be dimensionless or square units. It is usually used as a relative value and does not require an absolute unit.

[0093] For example, after receiving the sound signal inside the rice milling chamber, the controller can determine the sound wave energy generated when the material is being milled inside the rice milling chamber based on the sound signal.

[0094] S406, when it is determined that there is a risk of material blockage in rice milling equipment based on sound wave energy, the blockage risk level of rice milling equipment shall be determined according to sound wave energy.

[0095] Material blockage risk refers to a potential malfunction where the material accumulation within the rice milling chamber exceeds the allowable range for normal flow. The controller can determine the possibility of material blockage based on the degree to which the acoustic energy deviates from the baseline normal operating range. Understandably, in the presence of material blockage risk, the rice milling equipment may already be experiencing blockage, or it may only be in the early stages of blockage, exhibiting detectable abnormal signs.

[0096] The congestion risk level is a categorized parameter derived from a quantification of the degree of obstruction to material flow. A higher congestion risk level corresponds to a greater degree of material congestion, and vice versa. Understandably, different congestion risk levels require different response strategies for congestion prevention.

[0097] For example, the controller can determine whether there is a risk of material blockage in the rice milling equipment based on the sound wave energy, and if so, continue to determine the blockage risk level of the rice milling equipment based on the sound wave energy.

[0098] In one embodiment, the controller can preset a reference sound wave energy. After obtaining the sound wave energy, the sound wave energy can be compared with the reference sound wave energy. If the sound wave energy exceeds the reference sound wave energy, it is determined that there is a risk of material blockage in the rice milling equipment. The blockage risk level of the rice milling equipment is determined according to the degree of deviation between the sound wave energy and the reference sound wave energy.

[0099] S408 controls the operation of the rice milling equipment according to a response strategy that matches the level of blockage risk.

[0100] The response strategy, a control strategy set for a specific clogging risk level, instructs the controller on the corresponding control actions to be performed subsequently. Understandably, the controller has pre-set candidate response strategies matching each clogging risk level. After determining the clogging risk level of the rice milling equipment, it can select and execute the appropriate response strategy from the candidate strategies. The response strategy determines how the rice milling equipment changes its operating parameters to alleviate clogging under the corresponding clogging risk level.

[0101] For example, after determining the level of blockage risk in the rice milling equipment, the controller can select a response strategy that matches the level of blockage risk from among the candidate response strategies according to the level identifier of the blockage risk level, and control the operation of the rice milling equipment according to the response strategy to perform anti-blockage processing.

[0102] In the aforementioned rice milling equipment control method, sound signals are acquired in real-time from the rice milling chamber during the operation of the equipment. The sound energy generated by the material grinding within the milling chamber is determined based on these signals. This sound energy serves as a direct physical mapping indicator of the material grinding state. Since blockages typically involve low-frequency friction noise and high-frequency intermittent impact noise, by capturing the sound wave characteristics generated by the material grinding within the milling chamber in real time, even if the rice milling equipment is only in the initial stages of blockage, the risk of blockage can be accurately identified, improving the blockage clearing response rate. Furthermore, if the sound energy indicates a risk of material blockage, the blockage risk level can be further determined based on the sound energy. A response strategy matching the blockage risk level is then applied to control the operation of the rice milling equipment. By using a response strategy tailored to the blockage risk level, the rice milling equipment can be effectively cleared, whether the blockage is minor or severe, improving the effectiveness of blockage clearing and thus enhancing the reliability of the equipment and the stability of the milled rice quality.

[0103] Determining the clogging risk level of rice milling equipment is a crucial step in anti-clogging control, as the assessment of the clogging risk level influences the subsequent response strategy. In one embodiment, such as... Figure 5 As shown in S406, when it is determined that there is a risk of material blockage in the rice milling equipment based on the sound wave energy, the blockage risk level of the rice milling equipment is determined according to the sound wave energy, including:

[0104] S502, if the sound wave energy is greater than the preset warning energy threshold and the duration is greater than the duration threshold, it is determined that there is a risk of material blockage in the rice milling equipment.

[0105] The preset warning energy threshold is a pre-defined threshold used to determine whether there is a risk of material blockage in the rice milling equipment. If the sound wave energy is greater than the preset warning energy threshold, it can be considered that there is a risk of material blockage in the rice milling equipment. Whether it is already blocked or in the early stage of blockage needs to be determined in conjunction with subsequent judgment logic. If the sound wave energy is less than or equal to the preset warning energy threshold, it means that there is no risk of material blockage in the rice milling equipment, and the process can return to step S402, that is, to execute the real-time sound signal acquisition of the rice milling chamber of the rice milling equipment during operation.

[0106] Understandably, the preset warning energy threshold can be set by the designer based on the actual material type and warning requirements.

[0107] The duration threshold is a preset duration used to determine whether the rice milling equipment exhibits a persistent abnormality; it represents the longest tolerable duration for excessive acoustic energy. If the duration of the abnormal state where the acoustic energy exceeds the preset warning energy threshold is greater than the duration threshold, it indicates that the abnormality is persistent rather than a sudden anomaly caused by accidental fluctuations, and the rice milling equipment is at risk of material blockage. Conversely, if the duration of the abnormal state where the acoustic energy exceeds the preset warning energy threshold is less than or equal to the duration threshold, it indicates that the abnormality is a sudden anomaly caused by accidental fluctuations, which can be considered a brief disturbance and does not trigger a risk level assessment.

[0108] For example, after determining the acoustic energy of the rice milling equipment, the controller can compare the acoustic energy with a preset warning energy threshold. If the acoustic energy is greater than the preset warning energy threshold, the controller records the duration of the acoustic energy being greater than the preset warning energy threshold. If the duration is greater than the duration threshold, the controller determines that there is a risk of material blockage in the rice milling equipment.

[0109] In one embodiment, if the duration for which the sound wave energy is greater than the preset warning energy threshold is less than or equal to the duration threshold, it is determined that there is no risk of material blockage in the rice milling equipment, and the process returns to step S402.

[0110] S504 compares the sound wave energy with the preset intervention energy threshold. If the sound wave energy is less than or equal to the preset intervention energy threshold, the blockage risk level of the rice milling equipment is determined to be a warning level.

[0111] The preset intervention energy threshold is a pre-defined threshold used to determine whether the rice milling equipment is already blocked. If the sound wave energy is greater than the preset intervention energy threshold, the rice milling equipment is considered to be blocked. If the sound wave energy is less than or equal to the preset intervention energy threshold, it indicates that the rice milling equipment is currently in the early stage of blockage and has not yet become truly blocked.

[0112] Understandably, the preset intervention energy threshold can be set by the designer based on the actual material type and early warning requirements.

[0113] The early warning level is a lower risk level within the blockage risk level, representing early anomalies but not yet a true blockage. This level indicates that there is a detectable increase in resistance to material flow, but the rice milling process can still be maintained in the short term. Conventional adjustment methods are needed to clear the blockage and restore its smooth flow.

[0114] For example, if the controller determines that there is a risk of material blockage in the rice milling equipment, it can continue to compare the sound wave energy with the preset intervention energy threshold. If the sound wave energy is less than or equal to the preset intervention energy threshold, it means that the rice milling equipment is currently in the early stage of blockage and has not yet been truly blocked. The controller can determine that the blockage risk level of the rice milling equipment is a warning level.

[0115] S506, if the sound wave energy is greater than the preset intervention energy threshold, then the blockage risk level of the rice milling equipment is determined to be the intervention level.

[0116] The interference level is a high-risk level within the blockage risk level, indicating that material has accumulated and blocked the milling chamber, requiring mandatory clearing measures. This level indicates that the accumulation within the milling chamber has formed a substantial blockage, which cannot be resolved by conventional adjustment methods. Feeding must be immediately stopped and a powerful unblocking procedure initiated.

[0117] For example, if the controller determines that the sound wave energy is greater than the preset intervention energy threshold, it can consider that the rice milling equipment is already blocked and determine the blockage risk level of the rice milling equipment as the intervention level.

[0118] In the above embodiments, on the one hand, by setting a duration threshold, transient noise interference can be effectively filtered out, avoiding false triggering caused by short-term fluctuations in sound wave energy, and enabling risk assessment to be based on continuous anomaly assessment, thus improving monitoring reliability. On the other hand, by using an intervention energy threshold to classify risks into early warning and intervention levels, the handling measures can be precisely matched with the severity of the blockage. This allows for early warning to prevent minor problems from escalating, and also enables strong intervention to be triggered in severe cases, preventing over- or under-response caused by a single threshold, thereby balancing equipment safety and operational efficiency.

[0119] Different risk levels correspond to different response strategies. The following two examples illustrate the execution process of specific response strategies.

[0120] In one embodiment, the rice milling equipment further includes a screw drive assembly and a first vibration assembly disposed at the feed inlet of the rice milling equipment. S408, controlling the operation of the rice milling equipment according to a response strategy matched to the blockage risk level includes:

[0121] When the blockage risk level is at the warning level, the warning vibration frequency and warning screw speed corresponding to the warning level are obtained. The operation of the first vibration component is controlled according to the warning vibration frequency, and the operation of the screw drive component is controlled according to the warning screw speed to reduce the screw speed of the feed screw in the rice milling equipment.

[0122] The warning vibration frequency is tied to the warning level. It is a preset alternation rate value of the periodic excitation signal, specifically assigned to the warning level, to drive the first vibration component to generate mechanical vibration. Understandably, the warning vibration frequency can be set by the designer according to actual vibration requirements.

[0123] In one embodiment, the warning vibration frequency can be a vibration frequency capable of outputting a sine wave of 50Hz-200Hz.

[0124] The warning screw speed is a preset target value for screw rotation speed that is tied to the warning level. It's a specific speed value specifically assigned to the warning level to drive the screw drive assembly to reduce its speed, thereby decreasing the amount of material fed per unit time. Understandably, the warning screw speed must be lower than the current actual speed of the feed screw.

[0125] In one embodiment, the warning screw speed can be 80% of the normal operating speed.

[0126] For example, when the controller determines that the clogging risk level of the rice milling equipment is at the warning level, it can obtain the warning vibration frequency and warning screw speed corresponding to the warning level. Then, it controls the first vibration component to operate according to the warning vibration frequency, using vibration to disrupt the rice bran "bridging" structure forming in the rice milling chamber, preventing rice bran accumulation and keeping the material loose. Simultaneously, it controls the screw drive component to operate according to the warning screw speed, reducing the screw speed of the feed screw, thereby reducing the material load in the rice milling chamber per unit time and allowing time for airflow to exit.

[0127] In the above embodiments, by controlling the operation of the first vibration component and the screw drive component, the accumulation of rice bran can be effectively prevented in the early stage of blockage formation, and the fault warning window can be advanced from the "blocked" stage to the "about to stick" stage. This reduces the "burning rice" and jamming problems caused by the lag in physical quantity changes in traditional methods, improves the effectiveness of clearing blockages in rice milling equipment, and thus enhances the ability of rice milling equipment to process high-moisture, sticky rice.

[0128] In another embodiment, the rice milling equipment further includes a screw drive assembly, a blowing assembly disposed within the rice milling chamber, and a second vibration assembly disposed outside the bran discharge pipe of the rice milling equipment. Figure 6 As shown in S408, the rice milling equipment is controlled to operate according to a response strategy that matches the blockage risk level, including:

[0129] S602, when the blockage risk level is intervention level, the control screw drive assembly stops operating.

[0130] For example, when the risk level of blockage in the rice milling equipment is at the intervention level, the controller can control the screw drive assembly to stop operating and cut off the material supply in an emergency.

[0131] S604, obtain the intervention vibration frequency and intervention fan speed corresponding to the intervention level.

[0132] The intervention vibration frequency is tied to the intervention level. It is a preset alternation rate value of the periodic excitation signal, specifically assigned to the intervention level, to drive the second vibration component to generate mechanical vibration. Understandably, the intervention vibration frequency can be set by the designer according to actual vibration requirements, and it is generally higher than the warning vibration frequency.

[0133] In one embodiment, the intervention vibration frequency can be a vibration frequency capable of outputting a sine wave of 100Hz-500Hz.

[0134] The intervention fan speed is a target rotational speed value of the blower assembly drive motor, which is tied to the intervention level. It's a specific speed value specifically assigned to the intervention level to drive the blower assembly motor and increase the operating airflow of the blower assembly. Understandably, the intervention fan speed is generally higher than the normal operating speed of the blower assembly to increase airflow and air pressure.

[0135] In one embodiment, the fan speed can be the maximum operable speed.

[0136] For example, the controller can acquire the intervention vibration frequency and the intervention fan speed corresponding to the intervention level.

[0137] S606 controls the operation of the second vibration component according to the intervention vibration frequency and controls the operation of the blowing component according to the intervention fan speed, thereby increasing the operating wind speed of the blowing component.

[0138] For example, the controller can control the operation of the second vibration component according to the intervention vibration frequency, so that the mechanical waves output by the vibration can directly shake off the wet rice bran adhering to the pipe wall and screen. At the same time, the controller can control the operation of the blowing component according to the intervention fan speed, so as to cooperate with the loosening effect generated by the vibration and blow out the debris.

[0139] In the above embodiments, when the blockage risk level is at the intervention level, it indicates that internal blockage has already occurred in the equipment. Continuing to feed material would only worsen the blockage; instead, feeding is immediately stopped. Simultaneously, through the combined action of vibration and airflow, the accumulated material in the rice milling chamber and bran discharge pipe is forcibly dispersed and dislodged, allowing the blockage to be discharged with the airflow, thus restoring the smooth flow of material within the rice milling chamber. This effectively improves the effectiveness of clearing blockages in rice milling equipment, thereby enhancing the equipment's ability to process high-moisture, sticky rice.

[0140] To prevent the rice milling equipment from becoming clogged again after a rapid restart following a shutdown anti-blockage operation, in one embodiment, such as... Figure 7 As shown, the rice milling equipment control method may also include the following steps:

[0141] S702 acquires the first real-time sound signal inside the rice milling cavity when the runtime of the response strategy reaches a preset runtime threshold.

[0142] The runtime of the response strategy is the physical time elapsed from the start of its execution to the current moment. The preset runtime threshold is a pre-defined threshold used to determine whether the response strategy has completed execution; it represents the minimum duration for which the response strategy needs to continue executing. Understandably, the preset runtime threshold can be set by the designer based on the actual equipment cleaning requirements.

[0143] The first real-time sound signal is the real-time sound signal obtained by collecting sound signals from the rice milling cavity when the runtime of the response strategy reaches the preset runtime threshold. It can be understood as the real-time sound signal obtained by collecting sound signals from the rice milling cavity after anti-blocking treatment.

[0144] For example, after the controller controls the rice milling equipment to operate according to the response strategy corresponding to the intervention level, it can record the duration of the response strategy. When the duration reaches the preset duration threshold, the controller can acquire the first real-time sound signal inside the rice milling chamber through the sound acquisition component.

[0145] S704, when the first real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, controls the screw drive assembly to start operation according to the initial feeding speed.

[0146] The initial feed rate is a baseline target value used when the rice milling equipment restarts feeding after confirming that the risk of blockage has been eliminated. It is used to safely start feeding during the recovery phase. Understandably, the initial feed rate is lower than the normal operating rate.

[0147] For example, the controller can determine whether there is a risk of material blockage in the rice milling equipment based on the real-time sound signal. If the real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, the controller will start the screw drive assembly according to the initial feeding speed.

[0148] Understandably, the specific steps the controller takes to determine whether there is a risk of material blockage in the rice milling equipment based on the first real-time sound signal are basically the same as the specific steps the controller takes to determine whether there is a risk of material blockage in the rice milling equipment based on the sound signal, and will not be repeated here.

[0149] In one embodiment, if the controller determines that there is still a risk of material blockage in the rice milling equipment based on the real-time sound signal, it can control the rice milling equipment to continue operating the response strategy according to a preset extended duration.

[0150] S706 acquires the second real-time sound signal inside the rice milling chamber after the screw drive assembly has been running for a preset time.

[0151] The preset duration is the length of time used to control the screw drive assembly to operate stably at a certain speed. It can be considered as the shortest operating time required for the rice milling chamber to reach a steady state after the screw drive assembly has adjusted its speed, so that a reliable sound signal can be collected.

[0152] The second real-time sound signal is the sound signal collected again from the rice milling chamber after the screw drive assembly has adjusted its speed. Its difference from the first real-time sound signal lies in the timing of the acquisition.

[0153] For example, the controller can control the screw drive assembly to operate according to the target feeding speed determined at the current moment, and simultaneously time the running time of the screw drive assembly. After the screw drive assembly has run for a preset time, the controller acquires a second real-time sound signal from inside the rice milling chamber through the sound acquisition component. It can be understood that the target feeding speed determined at the current moment can be the initial feeding speed, or it can be the target feeding speed increased by a preset speed increase rate.

[0154] S708, under the condition that the second real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, the target feeding speed of the screw drive assembly is determined according to the preset speed growth rate and the current operating speed of the screw drive assembly.

[0155] The preset speed increase rate is a pre-defined speed increment used to increase the feeding speed. It ensures a gradual increase in feeding speed, reducing the risk of blockage caused by sudden speed changes. The preset speed increase rate can be set by the designer according to the actual speed increase requirements. For example, the preset speed increase rate can be 5%, meaning that the feeding speed increases by 5% each time.

[0156] For example, the controller can determine whether there is a risk of material blockage in the rice milling equipment based on the second real-time sound signal. If it is determined that there is no risk of material blockage in the rice milling equipment, the controller can determine the target feeding speed of the screw drive assembly based on the preset speed increase rate and the current operating speed of the screw drive assembly.

[0157] In one embodiment, the controller can determine the target feed rate of the screw drive assembly by multiplying the current operating speed of the screw drive assembly by a preset speed increase rate.

[0158] In one embodiment, if the second real-time sound signal indicates that there is a risk of material blockage in the rice milling equipment, the second real-time sound signal is used as the sound signal, and the process returns to step S404, that is, the sound wave energy generated when the material is milled in the rice milling chamber is determined according to the sound signal.

[0159] S710 controls the screw drive assembly to run according to the target feeding speed, and returns to the step of obtaining the second real-time sound signal in the rice milling chamber after the screw drive assembly has been running for a preset time, until the target feeding speed reaches the safe flow rate threshold, or all the material is milled.

[0160] The safe flow rate threshold is the maximum safe speed limit of the feed screw in a rice milling machine under the current material milling conditions. When the target feed speed reaches the safe flow rate threshold, further increasing the speed may cause blockages or equipment overload due to excessively rapid feeding. Understandably, different types of materials have different safe flow rate thresholds.

[0161] "All material has been ground" refers to the final processing state where the total amount of material to be processed has passed through the rice milling equipment and been completely processed. This indicates that no new material needs to be fed in, thus the acceleration cycle can be terminated and the equipment can be stopped. It is understandable that the completion of material grinding can be determined by a material level sensor, changes in the weight of the feed hopper, timing logic, or user triggering.

[0162] For example, after determining the target feeding speed of the screw drive assembly, the controller can control the screw drive assembly to run according to the target feeding speed, and return to the step of obtaining the second real-time sound signal in the rice milling chamber after the screw drive assembly has been running for a preset time, until the target feeding speed reaches the safe flow rate threshold, or all the material has been milled.

[0163] In the above embodiments, by restarting the feeding at a low speed after the response strategy is executed, and gradually increasing the speed step by step, with each step verified by sound signals to ensure there is no risk of blockage, the feeding speed can be actively restored to the safe upper limit. This not only avoids secondary blockage caused by a one-time speed increase, but also allows the speed to automatically match the current material state, ensuring that the recovery process is safe and controllable, while minimizing the duration of inefficient operation and improving processing efficiency.

[0164] In one embodiment, such as Figure 8 As shown in S404, based on the sound signal, the sound wave energy generated when the material is milled in the rice milling chamber is determined, including:

[0165] S802, based on the type of material in the rice milling chamber, determine the target acoustic frequency band that matches the material from among the candidate acoustic frequency bands.

[0166] The material type is a category attribute that distinguishes materials based on cereal classification and physical properties. Different material types differ in particle size, hardness, shape, moisture content, and cortex structure, and these differences directly affect the frequency distribution characteristics of the sound waves generated during milling.

[0167] Among them, the candidate acoustic frequency band is a characteristic frequency band that is pre-determined and set for the corresponding material type. It can be defined by a lower limit frequency band and an upper limit frequency band, corresponding to the main energy concentration area of ​​the material type during milling, and is used for subsequent matching and selection. For example, the acoustic frequency band corresponding to the wet rice bran of a certain type of rice during the milling process can be the 45Hz-60Hz frequency band.

[0168] In one embodiment, designers can pre-assign and set corresponding acoustic frequency bands for each material type, bind each acoustic frequency band to each material type, and store them to obtain an acoustic fingerprint database. The controller will then determine the corresponding acoustic frequency band for each material from the fingerprint database.

[0169] Among them, the target acoustic frequency band is a specific frequency band range that is most relevant to the current material type. The acoustic energy in this frequency band range can best reflect the grinding state of the material type. Other frequency bands may contain mechanical noise or interference components that are unrelated to the grinding action.

[0170] For example, the controller can determine the target acoustic frequency band that matches the material from each candidate acoustic frequency band based on the material type of the material in the rice milling chamber.

[0171] S804 extracts the grinding sound wave signal corresponding to the target sound wave frequency band from the sound signal.

[0172] The grinding acoustic signal is obtained by filtering the original sound signal and contains only the acoustic sub-signals of the target sound wave frequency band. The grinding acoustic signal mainly contains the acoustic information of collision and friction between material particles and between the material and the grinding roller.

[0173] For example, the controller can extract the grinding sound wave signal corresponding to the target sound wave frequency band from the sound signal.

[0174] S806 performs energy conversion processing on the grinding acoustic signal to obtain the acoustic energy generated when the material is ground in the rice milling chamber.

[0175] Among them, the energy conversion operation is a transformation operation that manifests the grinding sound wave signal into an energy form.

[0176] For example, the controller can perform energy conversion processing on the grinding acoustic signal to obtain the acoustic energy generated when the material is ground in the rice milling chamber. This can be determined, for example, through the aforementioned calculation function of acoustic energy E, where S... iIt represents the value of the i-th discrete sampling point of the grinding sound wave signal within the time window.

[0177] In the above embodiments, by selecting a matching target frequency band for extraction based on the material type, the grinding acoustic characteristics of materials with different hardness and particle size can be focused on the frequency sub-bands where their energy is concentrated, filtering out irrelevant frequency band interference such as mechanical operation, so that the sound wave energy can more accurately reflect the grinding intensity of the material type, thereby improving the pertinence and reliability of the blockage risk assessment and avoiding misjudgment or omission caused by general frequency bands.

[0178] In one embodiment, a rice milling equipment control method is provided, which is applied to, for example... Figure 9 The rice milling machine shown is an example. The rice milling machine may include a controller (not shown in the figure), a rice inlet chamber, a rice milling chamber, a bran bin, a rice bin, high-sensitivity microphones installed on the outer wall of the rice milling chamber, the bottom of the rice inlet chamber, and the outer wall of the bran discharge pipe, a vibrating plate installed at the bottom of the feed inlet, a vibrating rod installed on the outside of the bran discharge pipe, and a fan installed in the rice milling chamber.

[0179] The controller may include a control system, a storage system, and an audio processor. The control system analyzes and matches data collected by each component. The storage system stores voiceprint data. The audio processor runs real-time speech recognition and model matching algorithms. The controller can also be configured with a dynamic "sound-material" matching model to match the corresponding feeding speed based on the corresponding voiceprint.

[0180] Among them, the high-sensitivity microphones installed on the outer wall of the rice milling chamber, the bottom of the rice inlet chamber, and the outer wall of the bran discharge pipe have noise reduction functions, which can filter out the background noise of the fan and focus on the friction sound of the material.

[0181] The vibrating plate installed at the bottom of the feed inlet is a high-frequency vibrating plate with a frequency range of 50Hz-200Hz, used to prevent rice bran from accumulating. The vibrating rod installed on the outside of the bran discharge pipe is a high-frequency vibrating rod with a frequency range of 100Hz-500Hz, used to shake off the deposits adhering to the pipe wall.

[0182] like Figure 10 As shown, the control method for rice milling equipment may specifically include the following steps:

[0183] S1001, acquire the sound signal obtained by real-time sound acquisition of the rice milling chamber of the rice milling machine during operation.

[0184] For example, the user puts rice into the rice milling machine, presses the "start" button, and a large amount of wet rice enters the machine cavity. The microphone collects the sound signal and obtains the sound signal.

[0185] S1002, based on the variety of rice in the rice milling room, determine the target acoustic frequency band that matches the rice from each candidate acoustic frequency band.

[0186] S1003, extract the grinding sound wave signal corresponding to the target sound wave frequency band from the sound signal.

[0187] S1004 performs energy conversion processing on the grinding sound wave signal to obtain the sound wave energy generated when rice is being ground in the rice milling chamber.

[0188] For example, the controller can extract the sound wave signal in the 45Hz-60Hz frequency band from the sound signal to determine the sound wave energy Ecurr generated when the rice is milled in the rice milling chamber.

[0189] S1005, determine whether the sound wave energy is greater than the preset warning energy threshold and the duration is greater than 3 seconds. If not, return to execute S1001; if yes, execute S1006.

[0190] For example, if the sound wave energy Ecurr ≤ the preset warning energy threshold △Ewarn, it is determined that there is no risk of blockage in the rice milling machine, the rice flows normally, and the controller can return to execute S1001.

[0191] S1006, determine whether the sound wave energy is greater than the preset intervention energy threshold. If not, proceed to S1007; if yes, proceed to S1009.

[0192] S1007 controls the operation of the vibrating plate according to the warning vibration frequency and controls the operation of the screw drive assembly according to the warning screw speed.

[0193] For example, if Ecurr > ΔEwarn and the duration is greater than 3 seconds, it indicates that there is a risk of blockage in the rice milling machine. The controller can continue to determine whether Ecurr is greater than the preset intervention energy threshold ΔEcrit. If Ecurr ≤ ΔEcrit, it indicates that the wet rice bran in the rice milling chamber begins to rub against each other and form a "low-frequency rumbling" characteristic of tiny clumps. At this time, the rice milling machine is in the warning level. Decision trigger and warning level response: the controller can control the operation of the vibrating plate according to the warning vibration frequency and control the operation of the screw drive assembly according to the warning screw speed.

[0194] In one embodiment, the controller can first perform micro-vibration anti-clogging by immediately activating the high-frequency vibrating plate at the feed inlet, outputting a 50Hz-200Hz sine wave. This high-frequency micro-vibration instantly disrupts the forming rice bran "bridging" structure (rice bran accumulation), keeping the material loose. Simultaneously, intelligent speed reduction is implemented, controlling the feed screw speed to linearly decrease from 100% to 80%, reducing the material load per unit time and allowing time for airflow to discharge.

[0195] S1008 monitors the acoustic information of the rice milling chamber. When the acoustic energy feedback is less than or equal to the preset warning energy threshold, it controls the screw drive assembly to operate according to the normal screw speed.

[0196] For example, the controller can continuously monitor the sound signal and, if it determines that Ecurr has fallen back to less than or equal to ΔEwarn, control the feed screw to resume its original speed rotation, for example, return to 100%.

[0197] S1009, the control screw drive assembly stops operating.

[0198] S1010 controls the operation of the vibrating rod according to the interference vibration frequency and controls the operation of the fan according to the intervention fan speed.

[0199] For example, when Ecurr > ΔEcrit, it indicates that the wet rice bran in the milling chamber has formed clumps and is accompanied by a dull "rumbling" sound. At this point, the rice milling machine is at the intervention level, and the decision triggers an intervention-level response. The controller can first urgently cut off the feed, controlling the speed of the feed screw to instantly return to zero, i.e., Vi = 0%. Subsequently, to forcefully eliminate the risk of blockage, the controller can control the high-frequency vibrator on the outer wall of the bran discharge pipe to start, outputting a 100Hz-500Hz sine wave, using mechanical waves to directly shake off the wet rice bran adhering to the pipe wall and screen. Finally, a strong air blowing is performed, i.e., controlling the fan speed to increase to 100%, combined with the loosening effect generated by the vibration, to blow out the debris.

[0200] S1011 acquires the sound signal inside the rice milling room after a response time of 3 seconds.

[0201] S1012, when the sound signal indicates that there is no risk of material blockage in the rice milling machine, the screw drive assembly is started and operated according to the initial feeding speed.

[0202] For example, if the microphone feedback sound returns to a stable state after 3 seconds of anti-blocking operation, such as white noise returning, and Ecurr drops to a safe range less than or equal to ΔEwarn, the rice milling machine will automatically resume feeding. However, at this time, the initial feeding speed of the feeding screw is set to 60%, which is lower than the normal feeding speed.

[0203] S1013 acquires the sound signal inside the rice milling chamber after the screw drive assembly has been running for a preset time.

[0204] S1014, under the condition that the sound signal indicates that there is no risk of material blockage in the rice milling machine, the target feeding speed of the screw drive assembly is determined according to the preset speed increase rate and the current operating speed of the screw drive assembly.

[0205] S1015, determine whether the target feed rate has reached the safe flow rate threshold. If not, execute S1016; otherwise, execute S1019.

[0206] S1016: Determine if all the rice has been milled. If not, proceed to S1017; otherwise, proceed to S1018.

[0207] S1017, control the screw drive assembly to operate according to the target feed rate, and return to execute S1013.

[0208] S1018, controls the rice milling machine to stop running.

[0209] S1019 continues to operate according to the safe flow rate threshold.

[0210] For example, if the microphone feedback sound returns to a stable state after the screw drive assembly has run for 3 seconds, such as white noise returning, and Ecurr drops to a safe range less than or equal to ΔEwarn, then the feed screw is controlled to increase its speed by 5%, and the process returns to the step of acquiring the sound signal in the rice milling chamber after the screw drive assembly has run for a preset time, until the maximum safe flow rate for the current raw material is reached, and the machine operates at the maximum safe flow rate. When the paddy rice is used up and the bran is discharged, the machine stops, completing the rice milling process.

[0211] In one embodiment, the rice husks are determined to be empty when the microphone detects an empty voiceprint.

[0212] In one embodiment, a newly harvested paddy rice with high moisture content is used as an example. After the autumn harvest, a family farm uses a household rice milling machine to process a batch of freshly harvested paddy rice. The paddy rice has a moisture content as high as 18.5%, and the surface of the rice grains is very sticky, making it very easy to produce damp, sticky bran.

[0213] The user puts in rice and presses the "start" button, and a large amount of wet rice enters the machine cavity. Initially, the rice flows normally, but suddenly an anomaly occurs (T=30s). The microphone captures an abnormal energy peak (sudden increase in Ecur) in the 45Hz-60Hz frequency band. This is the "low-frequency rumbling" characteristic of the wet rice bran starting to rub and form tiny clumps inside the machine cavity.

[0214] The system determines that Ecurr exceeds the warning threshold, and the slope continues to rise for more than 3 seconds. The decision triggers a warning-level response.

[0215] Micro-vibration anti-clogging: The high-frequency vibrating plate at the feed inlet immediately starts, outputting a 50Hz-200Hz sine wave. This high-frequency micro-vibration instantly disrupts the forming rice bran "bridging" structure, keeping the material loose.

[0216] Intelligent speed reduction: The feed screw speed is linearly reduced from 100% to 80%, reducing the material load per unit time and allowing time for airflow to discharge.

[0217] Observation and feedback: The system continuously monitors the sound signal.

[0218] Due to timely intervention, the Ecur energy began to decline, preventing the formation of dense clumps.

[0219] The second blockage and intervention (T=30s) occurred because the rice was too wet, and micro-vibrations alone were insufficient to completely resolve the issue, causing the rice bran clumps to continue to grow. Ecurr rose sharply again, exceeding the critical threshold ΔEcrit, accompanied by a dull "rumbling" sound (clump friction).

[0220] System determination: Intervention-level response triggered.

[0221] Emergency material cut-off: The feed screw speed instantly returns to zero (Vi=0%).

[0222] Powerful decoupling: The high-frequency vibrating rod on the outer wall of the bran discharge pipe starts and outputs a 100Hz-500Hz sine wave, which directly shakes off the wet rice bran adhering to the pipe wall and screen using mechanical waves.

[0223] Strong wind blowing: The main fan speed is increased to 100%, and the loosening effect generated by the vibration blows the debris out.

[0224] Waiting for confirmation: The system locks this state for 3 seconds and monitors the microphone in real time.

[0225] Result: After 3 seconds, the microphone feedback sound returned to a stable level (white noise regression), and Ecurr dropped to the safe zone, less than ΔEwarn. The system automatically resumed feeding, but the initial speed was set to 60% (lower than normal). If subsequent operation was stable, the speed was increased by 5% every 5 seconds until the maximum safe flow rate for the current raw material was reached. When the paddy rice was used up, the microphone collected the idle sound pattern, the chaff was discharged, the machine stopped, and the rice milling was completed.

[0226] In the above embodiments, the "acoustic fingerprint of rice bran flow" sensing mechanism is used to abandon single current or pressure feedback and innovatively introduce a high-sensitivity microphone array and spectrum analysis algorithm. The system captures the acoustic wave characteristics generated by the friction of materials in the machine cavity in real time, accurately identifying low-frequency friction sounds and high-frequency intermittent impact sounds that can indicate blockage. This improvement advances the fault warning window from "blocked" to the early stage of "about to stick together", solving the "burning rice" and jamming problems caused by the lag of physical quantity changes in traditional methods. By constructing an "active vibration release" execution strategy, the limitations of passive shutdown are overcome. By integrating piezoelectric ceramic transducers and high-frequency vibration motors, once the acoustic system detects an abnormality, the system immediately triggers micro-amplitude vibrations at a specific frequency. The mechanical waves destroy the van der Waals forces and static friction between sticky rice bran particles, causing the "arch bridge" structure to disintegrate instantly and resume the grinding process. This achieves a technological leap from "waiting for unblocking" to "active crushing", greatly improving the ability to process high-moisture, sticky rice. By establishing an "acoustic- The "material dynamic matching model" is based on real-time acoustic fingerprinting. It dynamically calculates and adjusts the optimal feeding speed. The system automatically adjusts the feeding speed according to the stability of the sound waves to ensure that the material flow rate is always controlled within the "healthy acoustic fingerprint" range while maintaining maximum production capacity, thereby reducing the risk of accumulation and ensuring the quality of rice.

[0227] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0228] Based on the same inventive concept, this application also provides a rice milling equipment control device for implementing the rice milling equipment control method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the rice milling equipment control device provided below can be found in the limitations of the rice milling equipment control method described above, and will not be repeated here.

[0229] In one embodiment, such as Figure 11As shown, a rice milling equipment control device 1100 is provided, including: a sound acquisition module 1101, a sound wave energy determination module 1102, a blockage risk judgment module 1103, and an anti-blockage operation module 1104, wherein:

[0230] The sound acquisition module 1101 is used to acquire the sound signal obtained by real-time sound acquisition of the rice milling chamber of the rice milling equipment during the operation of the rice milling equipment.

[0231] The acoustic energy determination module 1102 is used to determine the acoustic energy generated when the material is being ground in the rice milling chamber based on the acoustic signal.

[0232] The blockage risk assessment module 1103 is used to determine the blockage risk level of the rice milling equipment based on the sound wave energy when it is determined that there is a risk of material blockage in the rice milling equipment based on the sound wave energy.

[0233] The anti-blockage operation module 1104 is used to control the operation of the rice milling equipment according to a response strategy that matches the blockage risk level.

[0234] In one embodiment, the blockage risk judgment module 1103 is used to: determine that there is a material blockage risk in the rice milling equipment when the sound wave energy is greater than a preset warning energy threshold and the duration is greater than a duration threshold; compare the sound wave energy with a preset intervention energy threshold; if the sound wave energy is less than or equal to the preset intervention energy threshold, determine that the blockage risk level of the rice milling equipment is a warning level; if the sound wave energy is greater than the preset intervention energy threshold, determine that the blockage risk level of the rice milling equipment is an intervention level.

[0235] In one embodiment, the rice milling equipment further includes a screw drive assembly and a first vibration assembly disposed at the feed inlet of the rice milling equipment. The anti-clogging operation module 1104 is used to: when the clogging risk level is a warning level, acquire the warning vibration frequency and warning screw speed corresponding to the warning level; control the operation of the first vibration assembly according to the warning vibration frequency, and control the operation of the screw drive assembly according to the warning screw speed, thereby reducing the screw speed of the feed screw in the rice milling equipment.

[0236] In one embodiment, the rice milling equipment further includes a screw drive assembly, a blowing assembly disposed within the rice milling chamber, and a second vibration assembly disposed outside the bran discharge pipe of the rice milling equipment. The anti-clogging operation module 1104 is used to: control the screw drive assembly to stop operating when the clogging risk level is at the intervention level; acquire the intervention vibration frequency and intervention fan speed corresponding to the intervention level; control the operation of the second vibration assembly according to the intervention vibration frequency; and control the operation of the blowing assembly according to the intervention fan speed, thereby increasing the operating wind speed of the blowing assembly.

[0237] In one embodiment, the rice milling equipment control device further includes:

[0238] The duration judgment module is used to acquire the first real-time sound signal inside the rice milling cavity when the runtime of the response strategy reaches a preset runtime threshold.

[0239] The initial feeding control module is used to control the screw drive assembly to start operation according to the initial feeding speed when the first real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment.

[0240] The real-time sound signal acquisition module is used to acquire the second real-time sound signal inside the rice milling chamber after the screw drive assembly has been running for a preset time.

[0241] The target feed rate determination module is used to determine the target feed rate of the screw drive assembly based on the preset speed increase rate and the current operating speed of the screw drive assembly, assuming that there is no risk of material blockage in the rice milling equipment as indicated by the second real-time sound signal.

[0242] The drive component operation module is used to control the screw drive component to operate according to the target feeding speed, and return to the step of obtaining the second real-time sound signal in the rice milling chamber after the screw drive component has been running for a preset time, until the target feeding speed reaches the safe flow rate threshold, or all the material is milled.

[0243] In one embodiment, the acoustic energy determination module 1102 is used to: determine the target acoustic frequency band that matches the material from each candidate acoustic frequency band according to the material type of the material in the rice milling chamber; extract the grinding acoustic signal corresponding to the target acoustic frequency band from the sound signal; and perform energy conversion processing on the grinding acoustic signal to obtain the acoustic energy generated when the material is ground in the rice milling chamber.

[0244] Each module in the aforementioned rice milling equipment control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the corresponding operations of each module.

[0245] In one embodiment, a computer device is provided, which may be a controller, and its internal structure diagram may be as follows: Figure 12As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database stores data related to the rice milling equipment control method. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a rice milling equipment control method.

[0246] Those skilled in the art will understand that Figure 12 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0247] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the specific steps of the above-described rice milling equipment control method embodiment.

[0248] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the specific steps of the above-described rice milling equipment control method embodiment.

[0249] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the specific steps of the above-described rice milling equipment control method embodiment.

[0250] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the acquisition, storage, processing, and transmission of the data all comply with relevant laws and regulations.

[0251] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0252] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0253] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A control method for rice milling equipment, characterized in that, The method includes: Acquire sound signals from the rice milling chamber of the rice milling equipment during real-time sound acquisition during the operation of the rice milling equipment; Based on the sound signal, determine the sound wave energy generated when the material is ground in the rice milling chamber; If the sound wave energy is greater than a preset warning energy threshold and the duration is greater than a duration threshold, it is determined that the rice milling equipment is at risk of material blockage. The sound wave energy is compared with a preset intervention energy threshold. If the sound wave energy is less than or equal to the preset intervention energy threshold, the blockage risk level of the rice milling equipment is determined to be a warning level. If the sound wave energy is greater than the preset intervention energy threshold, then the blockage risk level of the rice milling equipment is determined to be an intervention level; The rice milling equipment is controlled to operate according to a response strategy that matches the level of blockage risk. The rice milling equipment includes a screw drive assembly and a first vibration assembly disposed at the feed inlet of the rice milling equipment; controlling the operation of the rice milling equipment according to a response strategy matched to the blockage risk level includes: When the blockage risk level is a warning level, obtain the warning vibration frequency and warning screw speed corresponding to the warning level; The first vibration component is controlled to operate according to the warning vibration frequency, and the screw drive component is controlled to operate according to the warning screw speed, thereby reducing the screw speed of the feed screw in the rice milling equipment.

2. The method according to claim 1, characterized in that, The rice milling equipment includes a screw drive assembly, a blowing assembly disposed inside the rice milling chamber, and a second vibration assembly disposed outside the bran discharge pipe of the rice milling equipment. The step of controlling the operation of the rice milling equipment according to a response strategy matched to the blockage risk level includes: If the blockage risk level is at the intervention level, control the screw drive assembly to stop operating; Obtain the intervention vibration frequency and intervention fan speed corresponding to the intervention level; The second vibration component is controlled to operate according to the intervention vibration frequency, and the blower component is controlled to operate according to the intervention fan speed, thereby increasing the operating wind speed of the blower component.

3. The method according to claim 2, characterized in that, The method further includes: If the runtime of the response strategy reaches a preset runtime threshold, the first real-time sound signal inside the rice milling cavity is acquired. If the first real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, the screw drive assembly is started and operated according to the initial feeding speed. After the screw drive assembly has been running for a preset period of time, a second real-time sound signal is acquired inside the rice milling chamber; When the second real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment, the target feeding speed of the screw drive assembly is determined according to the preset speed growth rate and the current operating speed of the screw drive assembly. The screw drive assembly is controlled to operate according to the target feeding speed. The process then returns to the step of acquiring the second real-time sound signal in the rice milling chamber after the screw drive assembly has been running for a preset time, until the target feeding speed reaches the safe flow rate threshold or all the material has been milled.

4. The method according to any one of claims 1 to 3, characterized in that, The step of determining the sound wave energy generated when the material is ground in the rice milling chamber based on the sound signal includes: Based on the type of material in the rice milling chamber, a target acoustic frequency band matching the material is determined from each candidate acoustic frequency band; Extract the grinding sound wave signal corresponding to the target sound wave frequency band from the sound signal; The grinding sound wave signal is processed by energy conversion to obtain the sound wave energy generated when the material is ground in the rice milling chamber.

5. A control device for rice milling equipment, characterized in that, The device includes: The sound acquisition module is used to acquire sound signals obtained by real-time sound acquisition of the rice milling chamber of the rice milling equipment during operation. The acoustic energy determination module is used to determine the acoustic energy generated when the material is milled in the rice milling chamber based on the acoustic signal. The blockage risk assessment module is used to determine that the rice milling equipment has a material blockage risk when the sound wave energy is greater than a preset warning energy threshold and the duration is greater than a duration threshold; it compares the sound wave energy with a preset intervention energy threshold; if the sound wave energy is less than or equal to the preset intervention energy threshold, it determines the blockage risk level of the rice milling equipment to be a warning level; if the sound wave energy is greater than the preset intervention energy threshold, it determines the blockage risk level of the rice milling equipment to be an intervention level. The anti-blocking operation module is used to control the operation of the rice milling equipment according to a response strategy that matches the blockage risk level; The rice milling equipment includes a screw drive assembly and a first vibration assembly disposed at the feed inlet of the rice milling equipment. The anti-clogging operation module is used to: when the clogging risk level is a warning level, acquire the warning vibration frequency and the warning screw speed corresponding to the warning level; control the operation of the first vibration assembly according to the warning vibration frequency, and control the operation of the screw drive assembly according to the warning screw speed, thereby reducing the screw speed of the feed screw in the rice milling equipment.

6. The apparatus according to claim 5, characterized in that, The rice milling equipment includes a screw drive assembly, a blower assembly disposed within the rice milling chamber, and a second vibration assembly disposed outside the bran discharge pipe of the rice milling equipment. The anti-clogging operation module is used to: control the screw drive assembly to stop operating when the clogging risk level is an intervention level; acquire the intervention vibration frequency and intervention fan speed corresponding to the intervention level; control the second vibration assembly to operate according to the intervention vibration frequency; and control the blower assembly to operate according to the intervention fan speed, thereby increasing the operating wind speed of the blower assembly.

7. The apparatus according to claim 6, characterized in that, The device further includes: The duration judgment module is used to acquire the first real-time sound signal in the rice milling cavity when the runtime of the response strategy reaches a preset runtime threshold. The initial feeding control module is used to control the screw drive assembly to start running according to the initial feeding speed when the first real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment. The real-time sound signal acquisition module is used to acquire the second real-time sound signal inside the rice milling chamber after the screw drive assembly has been running for a preset time. The target feed rate determination module is used to determine the target feed rate of the screw drive assembly based on a preset speed increase rate and the current operating speed of the screw drive assembly, when the second real-time sound signal indicates that there is no risk of material blockage in the rice milling equipment. The drive component operation module is used to control the screw drive component to operate according to the target feeding speed, and return to the step of obtaining the second real-time sound signal in the rice milling chamber after the screw drive component has been running for a preset time, until the target feeding speed reaches the safe flow rate threshold, or all the material is milled.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 4.

10. A rice milling device, characterized in that, The rice milling equipment includes a rice milling chamber, a sound acquisition component disposed in the rice milling chamber, and a controller communicatively connected to the sound acquisition component; The sound acquisition component is used to acquire sound from the rice milling chamber in real time. The controller is used to perform the steps of the method according to any one of claims 1 to 4.

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