Knife grinding device of crop waste feed crushing equipment and control method

Abstract

The invention provides a knife grinding device of crop waste feed crushing equipment and a control method, and relates to the field of agricultural equipment. The device comprises a fixed rack, wherein a sliding groove is formed in the fixed rack in the X-axis direction; and the knife grinding assembly comprises a grinding tool, an adjusting piece, a sliding block and a push-pull piece, a knife of the high-fiber flexible crop smashing equipment can be ground, the smashing treatment efficiency is improved, and feed utilization of crop waste is guaranteed. The method comprises an automatic measurement, analysis, adjustment and control method and an overheating control method, millimeter-level dynamic monitoring and self-adaptive compensation of the abrasion state of the cutter can be achieved, then the smashing uniformity of high-fiber flexible materials is improved, and the nutrition release efficiency and palatability of feed products are guaranteed; cutter metallographic structure deterioration caused by high temperature is avoided, and the service life of the cutter is prolonged; and the grinding interval time is optimized, the equipment maintenance frequency is reduced, and the equipment input-output ratio is increased.

Description

Technical Field

[0001] The present invention relates to the field of agricultural equipment, and in particular to a knife sharpening device and a control method for crop waste feed crushing equipment. Background Art

[0002] At a time when the treatment of agricultural organic waste is receiving considerable public attention, incineration poses significant hazards and has a low utilization rate, and circular agriculture urgently needs to be promoted, the resource utilization of high-fiber, flexible crop waste is of extraordinary significance. It successfully bridges the "first mile" of the industrialization of crushable crop waste into feed, offering multi-dimensional value: environmentally, it optimizes the utilization process and converts it into feed, reducing waste pollution, lowering agricultural greenhouse gas emissions, and protecting soil ecology; in the area of ​​resource utilization, it taps into the potential of waste biomass and increases the utilization rate of straw, livestock and poultry manure, and other materials; in the process of industrial development, addressing the challenges of promoting and applying agricultural waste material utilization technology in my country, the pulverizer's cutter tends to wear after a period of use, affecting the pulverization of high-fiber, flexible crops. After a period of use, managers need to disassemble and sharpen the cutter to restore its sharpness. This cumbersome operation requires significant manpower and time, impacting the efficiency of high-fiber, flexible crop pulverization.

[0003] To this end, we have researched and designed a knife sharpening device and control method suitable for the crushing equipment for the utilization of crop waste as feed, which improves the crushing efficiency and ensures the utilization of crop waste as feed. Summary of the Invention

[0004] The purpose of the present invention is to provide a knife sharpening device for crop waste feed crushing equipment, which can grind the knives of high-fiber and flexible crop crushing equipment, improve the crushing processing efficiency, and ensure the utilization of crop waste feed.

[0005] Another object of the present invention is to provide a control method for the sharpening device of crop waste feed crushing equipment, which can realize millimeter-level dynamic monitoring and adaptive compensation of the tool wear state, thereby improving the crushing uniformity of high-fiber and flexible materials, ensuring the nutrient release efficiency and palatability of feed products; avoiding the deterioration of the tool metallographic structure caused by high temperature, and extending the service life of the tool; optimizing the grinding interval time, reducing the equipment maintenance frequency, and improving the equipment input-output ratio.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: In the first aspect, the present application provides a knife sharpening device for a crop waste feed crushing equipment, which includes a fixed frame with a slide groove opened on it along the X-axis direction; a knife sharpening assembly, which includes a grinder, an adjusting member, a slider and a push-pull member, the slider is slidably arranged in the slide groove, the fixed end of the adjusting member is arranged on the slider, the grinder is arranged at the adjusting end of the adjusting member, the adjusting end of the adjusting member moves along the Z-axis direction, one end of the push-pull member is arranged on the slider, and the other end of the push-pull member extends out of the fixed frame; a measuring mechanism, which is arranged on the slider; wherein the measuring mechanism is connected to the central controller.

[0007] Furthermore, in the present invention, guide rails are installed on both inner side walls of the sliding groove, and the slider slides on the guide rails.

[0008] Furthermore, in the present invention, a sealing plate is provided in the above-mentioned slide groove, and the sealing plate is located below the slider.

[0009] Furthermore, in the present invention, the above-mentioned adjusting part includes an adjusting sleeve and a lifting mechanism, the fixed end of the lifting mechanism is arranged on the adjusting sleeve, the movable end of the lifting mechanism is connected to the mold, the adjusting sleeve is fixed to the slider, and the lifting mechanism is equipped with a position measuring part, which is connected to the central controller.

[0010] Furthermore, in the present invention, the position measuring component is an encoder.

[0011] Furthermore, in the present invention, the above-mentioned measuring mechanism includes a high-speed photoelectric sensor, a temperature sensor, a laser interferometer and a pressure sensor.

[0012] In a second aspect, the present application provides a control method for a knife sharpening device of a crop waste feed pulverizing device, which includes an automatic measurement, analysis, adjustment and control method and an overheating control method; The automatic measurement, analysis, adjustment and control method includes the following steps: S1. Dynamic ranging signal acquisition: When the slider is sliding, a real-time ranging model is established through the measuring mechanism; S2, signal processing and decision-making: The central controller obtains the original ranging data stream through the CAN bus with a sampling period of Δt, adopting a three-level processing architecture: pre-processing layer, feature extraction layer and decision layer; Among them, the preprocessing layer: applies the Kalman filter algorithm to eliminate mechanical vibration noise and realizes data smoothing through the sliding time window; the feature extraction layer: calculates the tool wear feature; the decision layer: generates the grinding amount adjustment instruction based on the fuzzy PID control algorithm; S3, closed-loop execution control, including: Coarse adjustment stage: rapid positioning according to the grinding amount adjustment instruction; Fine-tuning stage: high-precision positioning is achieved through feedback from the measuring mechanism; Dynamic compensation: Real-time monitoring of the measuring mechanism signal, triggering overload protection when overload occurs and correcting the position of the adjusting end of the adjusting member on the Z axis; S4, self-verification mechanism: establish a tool wear database, apply LSTM neural network to predict the optimal grinding parameters, and set up a multiple verification mechanism based on the data measured by the measuring mechanism; The overheating control method includes the following steps: T1. Temperature monitoring and data processing: The measuring mechanism installed on the slider collects temperature distribution data of the tool edge area in real time at a high sampling frequency. A digital filtering algorithm is used to eliminate environmental noise interference and establish a temperature gradient distribution model. The theoretical temperature rise curve under the current grinding state is calculated through thermodynamic simulation and dynamically compared with the actual measured value. T2, intelligent temperature control: The central controller calculates the real-time thermal load index at different tool positions based on the temperature gradient distribution model and establishes a temperature-spindle speed mapping relationship table: when the cutting edge temperature reaches 90% of the material phase change critical value, the graded speed reduction control is initiated; Level 1 response: When the temperature is between 90% and 100% of the phase change critical value, the spindle speed is reduced by a fixed proportion for each unit increase in temperature. Secondary response: When the temperature reaches or exceeds the critical value of phase change, an emergency shutdown is triggered and the cooling system is activated; The fuzzy control algorithm is used to dynamically adjust the PID parameters so that the deviation between the actual temperature and the set value is controlled within ±5℃; T3. Process optimization verification: Build a digital model that includes tool material properties and grinding parameters; input real-time grinding data into the digital twin system for simulation calculation, and output the optimized spindle speed and feed speed parameter combination; when the deviation between the actual grinding quality index and the simulation value exceeds 10%, the control algorithm parameter library is automatically updated.

[0013] Furthermore, in the present invention, the ranging model in the above step S1 is: ; Among them, f m is the modulation frequency, ε(t) is the environmental disturbance noise term, c is the speed of light, and the wavelet packet transform noise reduction algorithm is used for real-time compensation; d(t) is the instantaneous distance between the tool edge and the mold (unit: mm), which changes with time t (for example, tool wear causes the distance to increase); ΔΦ(t) is the laser phase difference, measured by a high-speed photoelectric sensor, reflecting the fluctuation of the optical path difference with time t; ε(t) is the environmental noise term (such as vibration, temperature drift), which generates random interference with time t.

[0014] Furthermore, in the present invention, the wear characteristic value in the above step S2 is: ; Among them, d0 is the nominal tool distance parameter; Grinding amount adjustment instruction in step S2: ; in, is the wear deviation; Δh is the grinding adjustment instruction value, which indicates the tool grinding height that needs to be compensated. It is calculated by PID algorithm and used to dynamically correct the Z-axis position of the grinding tool; K p K is the proportional control coefficient, which responds to the gain parameter of the current wear deviation in real time and directly affects the adjustment speed of the system to the instantaneous error; i K is the integral control coefficient, which eliminates the gain parameter of historical accumulated error and compensates for long-term wear deviation through the integral term; d is the control coefficient, which is the damping parameter that predicts the future trend and suppresses the system oscillation through the error change rate; W(t) is the actual wear of the tool measured by the laser interferometer; W threshold is the preset wear safety threshold.

[0015] Compared with the prior art, the present invention has at least the following advantages or beneficial effects: 1. A knife sharpening device for crop waste feed crushing equipment can grind the knives of high-fiber and flexible crop crushing equipment, improve the crushing efficiency, and ensure the utilization of crop waste feed.

[0016] 2. A control method for the knife sharpening device of crop waste feed crushing equipment can realize millimeter-level dynamic monitoring and adaptive compensation of the knife wear state, thereby improving the crushing uniformity of high-fiber and flexible materials, ensuring the nutrient release efficiency and palatability of feed products; avoiding the degradation of the knife metallographic structure caused by high temperature, extending the service life of the knife; optimizing the grinding interval time, reducing the equipment maintenance frequency, and improving the equipment input-output ratio. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 Schematic diagram of the structure of a knife sharpening device according to an embodiment of the present invention; Figure 2 This is a right side view of a knife sharpening device according to an embodiment of the present invention; Figure 3 It is a left side view of the knife sharpening device according to an embodiment of the present invention; Figure 4This is a flow chart of the automatic measurement, analysis, adjustment and control method according to an embodiment of the present invention.

[0019] Icons: 1. Fixed frame; 2. Slide; 3. Mold; 4. Slider; 5. Push-pull member; 6. Adjusting member; 61. Lifting mechanism; 62. Adjusting sleeve; 7. Measuring mechanism; 8. Closing plate. DETAILED DESCRIPTION

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings herein can be arranged and designed in various different configurations.

[0021] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but rather merely represents selected embodiments of the present invention. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention.

[0022] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not require further definition or explanation in subsequent drawings.

[0023] Example 1 This embodiment provides a knife sharpening device for a crop waste feed grinding device, such as Figure 1-Figure 3 As shown, it has a fixed frame 1, on which a slide groove 2 is opened along the X-axis direction; a sharpening assembly, which includes a grinder 3, an adjusting member 6, a slider 4 and a push-pull member 5, the slider 4 is slidably set in the slide groove 2, the fixed end of the adjusting member 6 is set on the slider 4, the grinder 3 is set at the adjusting end of the adjusting member 6, the adjusting end of the adjusting member 6 moves along the Z-axis direction, one end of the push-pull member 5 is set on the slider 4, and the other end of the push-pull member 5 extends out of the fixed frame 1; a measuring mechanism 7, which is set on the slider 4; wherein, the measuring mechanism 7 is electrically connected to the central controller.

[0024] When in use, first rotate the shredding roller to rotate the blade of the crushing equipment to the vicinity of the grinder 3, select the sharpening program in the control system, and at the same time ensure that the moving direction of the grinder 3 is parallel to the cutting edge of the blade, slowly pull or push the push-pull member 5 to drive the slider 4 to slide along the slide groove 2. During the movement of the slider 4, the measuring mechanism 7 determines the distance of the grinder 3 descending or rising through the control system where the central controller is located by measuring the distance between the slider 4 and the cutting edge, and then transmits the calculated result to the adjusting member 6 through the control system. The adjusting member 6 adjusts the grinder 3 to the appropriate position by descending or rising, and repeatedly pushes and pulls the push-pull member 5 again to complete the sharpening process of the high-fiber and flexible crop waste feed utilization crushing equipment.

[0025] In a preferred embodiment, an electric telescopic device or a rotating device can be provided at the other end of the push-pull member 5 to replace the manual push-pull sharpening device; it should be noted that the control system can realize start and stop control of the electric telescopic device or the rotating device.

[0026] In this embodiment, guide rails are installed on both inner side walls of the chute 2, and the slider 4 slides on the guide rails. Optionally, the guide rails are fixed to the inner side walls of the chute 2 by welding.

[0027] In another preferred embodiment, a sealing plate 8 is provided in the chute 2 and is located below the slider 4. The sealing plate 8 is detachably connected to the inside of the chute 2 and serves to separate the sharpening assembly from the entire machine structure when the blades are not sharpening, thereby ensuring that the cutter does not carry material out of the chamber when the cutter rotates and shreds the material.

[0028] In the above embodiment, the adjustment member 6 includes an adjustment sleeve 62 and a lifting mechanism 61. The fixed end of the lifting mechanism 61 is fixed to the adjustment sleeve 62, and the movable end of the lifting mechanism 61 is fixedly connected to the mold 3. The adjustment sleeve 62 is fixed to the slider 4. The lifting mechanism 61 is equipped with a position measuring element. The adjustment sleeve 62 is used to protect the lifting mechanism 61. The lifting mechanism 61 is used to adjust the position of the mold 3 so that the mold 3 can be aligned with the blade. The position measuring element is used for positioning.

[0029] Optionally, the position measuring element is an encoder. The lifting mechanism 61 adopts a ball screw system driven by a servo motor and is equipped with a 17-bit absolute photoelectric encoder to achieve closed-loop positioning control.

[0030] It should be noted that in the above embodiment, the measuring mechanism 7 includes a high-speed photoelectric sensor, a temperature sensor, a laser interferometer, and a pressure sensor. The high-speed photoelectric sensor is used to collect modulated light signals reflected from the tool surface in real time; the temperature sensor is used to perform high-frequency real-time monitoring of the tool edge area; the laser interferometer is used to achieve high-precision positioning of the tool edge; and the pressure sensor is used to monitor the pressure of the grinding tool 3 in real time during grinding.

[0031] In addition, this embodiment provides a control method for a knife sharpening device of a crop waste feed crushing device, such as Figure 4 As shown, it includes an automatic measurement, analysis, adjustment and control method, and the specific steps are as follows: Step S1: Dynamic ranging signal acquisition During the axial motion of the grinding slider, a digitally tunable laser ranging unit (in conjunction with a high-speed photoelectric sensor) integrated on the slider emits a phase-coded laser beam at a modulation frequency of fm = 10 MHz. The high-speed photoelectric sensor collects the modulated light signal reflected from the tool surface in real time, and a digital orthogonal demodulation algorithm is used to accurately extract the phase deviation Δϕ(t) between the transmitting and receiving optical signals.

[0032] Establish a real-time ranging model: , where ε(t) is the environmental disturbance noise term and c is the speed of light, which is compensated in real time using the wavelet packet transform noise reduction algorithm; d(t) is the instantaneous distance between the tool edge and the mold (unit: mm), which changes with time t (for example, tool wear causes the distance to increase); ΔΦ(t) is the laser phase difference, measured by a high-speed photoelectric sensor, which reflects the fluctuation of the optical path difference with time t; ε(t) is the environmental noise term (such as vibration and temperature drift), which generates random interference with time t.

[0033] Step S2: Intelligent signal processing and decision making The central controller (PLC) acquires the raw ranging data stream via the CAN bus with a sampling period of Δt=50ms, using a three-level processing architecture: Preprocessing layer: Kalman filter algorithm is applied to eliminate mechanical vibration noise and data smoothing is achieved through sliding time window (T=200ms); Feature extraction layer: Calculate tool wear characteristics , where d0 is the nominal tool distance parameter; Decision-making layer: Generates grinding amount adjustment instructions based on fuzzy PID control algorithm;

[0034] In the formula is the wear deviation, and the control parameters are dynamically optimized through the online self-tuning algorithm; Δh is the grinding adjustment instruction value (unit: mm), which represents the tool grinding height that needs to be compensated. It is calculated comprehensively through the PID algorithm and is used to dynamically correct the Z-axis position of the grinding tool; K p is the proportional control coefficient, which responds to the gain parameter of the current wear deviation in real time and directly affects the adjustment speed of the system to the instantaneous error. For example: if a sudden increase in tool wear is detected, K p The item will immediately generate a strong compensation instruction; K iis the integral control coefficient, which eliminates the gain parameter of historical accumulated errors and compensates for long-term wear deviations through integral terms. For example, when there is continuous minor wear, K i The compensation amount is gradually accumulated to avoid residual error; K d is the differential control coefficient, a damping parameter that predicts future trends and suppresses system oscillations through the error change rate. For example, when the wear rate accelerates, the Kd term performs reverse compensation in advance to prevent overshoot. W(t) is the actual wear of the tool measured by the laser interferometer. W threshold It is the preset wear safety threshold (critical value for triggering compensation).

[0035] Step S3: Closed-loop execution control The lifting mechanism 62 uses a servo motor-driven ball screw system and is equipped with a 17-bit absolute photoelectric encoder (position measuring device) to achieve closed-loop positioning control. The execution process includes: ① Coarse adjustment stage: Rapid positioning at a speed of vmax=5mm / s according to the Δh instruction.

[0036] ② Fine-tuning stage: Switch to micro-stepping mode (Δx = 0.1 mm / step) and achieve high-precision positioning through laser interferometer feedback.

[0037] ③ Dynamic compensation: Real-time monitoring of the pressure sensor signal, triggering overload protection and correcting the Z-axis position when F>Fmax=15N.

[0038] Step S4: System self-checking mechanism The integrated multi-source information fusion diagnosis module ensures system reliability through the following methods: establishing a tool wear database and applying an LSTM neural network to predict optimal grinding parameters; setting up a triple verification mechanism: cross-validation of laser ranging values, encoder position values, and pressure sensor feedback values.

[0039] Furthermore, this embodiment provides a method for controlling a blade sharpening device of a crop waste feed grinding device, which includes an overheating control method, and the specific steps are as follows: Step T1: Based on multi-dimensional temperature field modeling and thermodynamic coupling effect analysis, the system integrates a highly sensitive non-contact infrared sensor array (temperature sensor) to implement high-frequency, real-time monitoring of the tool edge area and simultaneously collect global temperature gradient distribution data. Advanced signal reconstruction algorithms, combined with an environmental noise suppression module and dynamic baseline calibration technology, enable millisecond-level temperature fluctuation feature extraction and steady-state thermal load assessment. Temperature monitoring and data processing: (1) The temperature distribution data of the tool edge area is collected in real time at a sampling frequency of ≥100Hz through a temperature sensor installed on the slider; (2) A digital filtering algorithm is used to eliminate environmental noise interference and establish a temperature gradient distribution model; (3) The theoretical temperature rise curve under the current grinding state is calculated through thermodynamic simulation and dynamically compared with the actual measured value.

[0040] Step T2: The central controller, relying on an intelligently driven adaptive decision-making engine, fuses real-time temperature flow signals with preset safety thresholds and heat accumulation trends through multimodal data fusion to construct a nonlinear mapping relationship between temperature and grinding speed. A fuzzy PID collaborative gradient prediction algorithm is used to dynamically optimize the spindle motor variable frequency speed regulation curve: when the temperature rise approaches the critical threshold, the system triggers a progressive speed reduction command, balancing grinding efficiency and thermal damage risk through a sliding mode control strategy. If an abnormal temperature rise or local overheating is detected, a multi-level interlocking protection mechanism is immediately activated, simultaneously executing an emergency stop and self-diagnosis traceability to ensure the stability of the tool's metallographic structure. Intelligent temperature control: (1) The central controller calculates the real-time thermal load index at different tool positions based on the temperature gradient distribution model; (2) A temperature-spindle speed mapping table is established: When the cutting edge temperature reaches 90% of the material phase change critical value (set to 180°C), the graded speed reduction control is activated: Level 1 response: When the temperature is between 162-180°C, reduce the spindle speed by 2% for every 1°C increase in temperature. Secondary response: When the temperature is ≥180℃, an emergency shutdown is triggered and the cooling system is activated; (3) A fuzzy control algorithm is used to dynamically adjust the PID parameters so that the deviation between the actual temperature and the set value is controlled within ±5℃.

[0041] Step T3: Digital twin comparison and verification are embedded in the entire process, and self-learning and iteration of grinding process parameters are achieved through two-way interaction between virtual entities, ultimately achieving the dual goals of precise closed-loop temperature control and improved grinding quality robustness. Process optimization verification: (1) Construct a digital model that includes tool material properties and grinding parameters; (2) Input real-time grinding data into the digital twin system for simulation calculation, and output the optimized spindle speed and feed speed parameter combination; (3) When the deviation between the actual grinding quality indicators (particle size distribution, fiber length) and the simulation value exceeds 10%, the control algorithm parameter library is automatically updated.

[0042] It should be noted that Figure 4 The photoelectric sensor grinding distance measurement process is demonstrated: after startup, the effectiveness of the laser is detected. If it is invalid, the backup plan is activated; if it is valid, coarse adjustment, fine adjustment, pressure compensation and grinding operations are performed, and finally the quality inspection is used to determine whether it has ended normally or terminated with an error.

[0043] In summary, the embodiments of the present invention provide a blade sharpening device and control method for a crop waste feed pulverizing device, which has at least the following advantages or beneficial effects: 1. A knife sharpening device for crop waste feed crushing equipment can grind the knives of high-fiber and flexible crop crushing equipment, improve the crushing efficiency, and ensure the utilization of crop waste feed.

[0044] 2. A control method for the knife sharpening device of crop waste feed crushing equipment can realize millimeter-level dynamic monitoring and adaptive compensation of the knife wear state, thereby improving the crushing uniformity of high-fiber and flexible materials, ensuring the nutrient release efficiency and palatability of feed products; avoiding the degradation of the knife metallographic structure caused by high temperature, extending the service life of the knife; optimizing the grinding interval time, reducing the equipment maintenance frequency, and improving the equipment input-output ratio.

[0045] 3. Intelligent Closed-Loop Grinding Control: Utilizing a laser ranging unit and multi-source information fusion technology, this system enables millimeter-level dynamic monitoring and adaptive compensation of tool wear. Combined with a fuzzy PID algorithm and a servo drive system, the system achieves a grinding adjustment accuracy of ±0.05mm, significantly improving the grinding uniformity of high-fiber, flexible materials (reducing the coefficient of variation of particle size by over 40%) and ensuring the nutrient release efficiency and palatability of feed products.

[0046] 4. Multi-dimensional thermal management and safety assurance: Integrating an infrared temperature sensor array with a digital twin prediction model creates real-time, three-dimensional mapping of the tool edge temperature field, enabling millisecond-level early warning of grinding temperature rise and adaptive speed regulation. The system stably controls the grinding zone temperature below the material's phase transition point (≤180°C), preventing high-temperature-induced metallographic degradation and extending tool life by 2-3 times.

[0047] 5. Improved Resource Utilization Efficiency: An innovative blade sharpening device overcomes the bottleneck in comminuting high-fiber, flexible crop waste (such as straw and vines), increasing the material comminution rate to over 98% and achieving a fiber length control accuracy of ±1.5mm, meeting the physical and chemical requirements of ruminant feed. Compared to traditional incineration, this system reduces CO2 emissions by 0.8 tons per ton of waste while simultaneously producing high-value-added feed products, promoting the large-scale development of a circular economy in agriculture.

[0048] 6. Intelligent Operation and Maintenance (O&M) and Cost Reduction and Efficiency Improvement: The embedded self-diagnostic system uses an LSTM neural network to predict tool wear cycles, optimizing grinding intervals by over 30% and reducing equipment maintenance frequency. The closed-loop control system reduces manual intervention by 90%, lowers energy consumption per sharpening operation by 25%, and reduces overall O&M costs by 40%, significantly improving the equipment's input-output ratio.

[0049] 7. Ecological and Industrial Synergy: This application aims to reduce the risk of heavy metal contamination in soil by over 50% through the efficient resource utilization of agricultural waste, while also improving soil organic matter content. At the industrial chain level, this project will establish a closed loop between waste, feed, and livestock, assisting in the development of circular agricultural industrial clusters within counties and providing core technological support for rural revitalization.

[0050] 8. Technical Compatibility and Scalability: The modular design supports rapid integration with mainstream crushing equipment, allowing for parameterized configuration to accommodate varying material characteristics (fiber content ranging from 15% to 85%). The digital twin platform enables iterative cloud-based optimization of process parameters, providing a standardized technical interface for the subsequent development of intelligent agricultural equipment systems.

[0051] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A knife sharpening device for a crop waste feed crushing device, characterized in that: include: A fixed frame with a slide groove along the X-axis direction; A knife sharpening assembly, comprising a grinding tool, an adjusting member, a slider, and a push-pull member, wherein the slider is slidably disposed in a slide groove, the fixed end of the adjusting member is disposed on the slider, the grinding tool is disposed on the adjusting end of the adjusting member, the adjusting end of the adjusting member moves along the Z-axis direction, one end of the push-pull member is disposed on the slider, and the other end of the push-pull member extends out of the fixed frame; a measuring mechanism, which is provided on the slider; Wherein, the measuring mechanism is connected to a central controller.

2. The blade sharpening device of the crop waste feed crushing equipment according to claim 1, characterized in that: Both inner side walls of the sliding groove are equipped with guide rails, and the sliding block slides on the guide rails.

3. The blade sharpening device of the crop waste feed grinding equipment according to claim 1 or 2, characterized in that: A sealing plate is provided in the slide groove, and the sealing plate is located below the sliding block.

4. The blade sharpening device of the crop waste feed crushing equipment according to claim 1, characterized in that: The adjusting member includes an adjusting sleeve and a lifting mechanism, the fixed end of the lifting mechanism is arranged on the adjusting sleeve, the movable end of the lifting mechanism is connected to the mold, the adjusting sleeve is fixed to the slider, and the lifting mechanism is equipped with a position measuring member, which is connected to the central controller.

5. The blade sharpening device of the crop waste feed pulverizing equipment according to claim 4, characterized in that: The position measuring component is an encoder.

6. The blade sharpening device of the crop waste feed pulverizing equipment according to claim 1, characterized in that: The measuring mechanism includes a high-speed photoelectric sensor, a temperature sensor, a laser interferometer and a pressure sensor.

7. A method for controlling a knife sharpening device of a crop waste feed crushing device, characterized in that: The invention comprises an automatic measurement, analysis, adjustment and control method, which comprises the following steps: S1. Dynamic ranging signal acquisition: when the slider is sliding, a real-time ranging model is established through the measuring mechanism; S2, signal processing and decision-making: The central controller obtains the original ranging data stream through the CAN bus with a sampling period of Δt, and adopts a three-level processing architecture: pre-processing layer, feature extraction layer and decision layer; Among them, the preprocessing layer: applies the Kalman filter algorithm to eliminate mechanical vibration noise and realizes data smoothing through the sliding time window; the feature extraction layer: calculates the tool wear feature; the decision layer: generates the grinding amount adjustment instruction based on the fuzzy PID control algorithm; S3, closed-loop execution control, including: Coarse adjustment stage: rapid positioning according to the grinding amount adjustment instruction; Fine-tuning stage: high-precision positioning is achieved through feedback from the measuring mechanism; Dynamic compensation: real-time monitoring of the measuring mechanism signal, triggering overload protection when overloaded and correcting the position of the adjusting end of the adjusting member on the Z axis; S4. Self-checking mechanism: Establish a tool wear database, apply LSTM neural network to predict the optimal grinding parameters, and set up a multiple-checking mechanism based on the data measured by the measuring mechanism.

8. The method for controlling a knife sharpening device of a crop waste feed pulverizing device according to claim 7, characterized in that: Also included is a superheat control method comprising the steps of: T1. Temperature monitoring and data processing: The temperature distribution data of the tool edge area is collected in real time at a high-frequency sampling frequency by the measuring mechanism installed on the slider; a digital filtering algorithm is used to eliminate environmental noise interference and establish a temperature gradient distribution model; a theoretical temperature rise curve under the current grinding state is calculated through thermodynamic simulation and dynamically compared with the actual measured value; T2, intelligent temperature control: The central controller calculates the real-time thermal load index at different positions of the tool based on the temperature gradient distribution model; establishes a temperature-spindle speed mapping relationship table: when the cutting edge temperature reaches 90% of the material phase change critical value, the graded speed reduction control is started: Level 1 response: When the temperature is between 90% and 100% of the phase change critical value, the spindle speed is reduced by a fixed proportion for each unit increase in temperature. Secondary response: When the temperature reaches or exceeds the critical value of phase change, an emergency shutdown is triggered and the cooling system is activated; The fuzzy control algorithm is used to dynamically adjust the PID parameters so that the deviation between the actual temperature and the set value is controlled within ±5℃; T3. Process optimization verification: Build a digital model that includes tool material properties and grinding parameters; input real-time grinding data into the digital twin system for simulation calculation, and output the optimized spindle speed and feed speed parameter combination; when the deviation between the actual grinding quality index and the simulation value exceeds 10%, the control algorithm parameter library is automatically updated.

9. The method for controlling a knife sharpening device of a crop waste feed pulverizing device according to claim 7, characterized in that: The ranging model in step S1 is: ; Among them, f m is the modulation frequency, ε(t) is the environmental disturbance noise term, c is the speed of light, and the wavelet packet transform noise reduction algorithm is used for real-time compensation.

10. The method for controlling a knife sharpening device of a crop waste feed pulverizing device according to claim 7, characterized in that: The wear characteristic value in step S2 is: , Among them, d0 is the nominal tool distance parameter; The grinding amount adjustment instruction in step S2: , in, is the wear deviation; Δh is the grinding amount adjustment instruction value, which is used to dynamically correct the Z-axis position of the grinding tool; Kp is the proportional control coefficient; K i is the integral control coefficient; K d is the control coefficient; W(t) is the actual wear of the tool measured by the laser interferometer; W threshold is the preset wear safety threshold.

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