Intelligent portable fruit and vegetable crusher real-time sample crushing method and system

Abstract

The present application relates to the technical field of food sampling and detection, solves the problems of poor sample crushing effect and low energy utilization rate in the prior art when food is sampled on site, and provides a real-time sample crushing method and system for an intelligent portable fruit and vegetable crusher. The method comprises the following steps: obtaining crushing control parameters according to sample parameters of fruit and vegetable samples to be crushed; adjusting the crushing control parameters according to the current power of the mobile power supply; controlling the mobile crushing device to crush and process the fruit and vegetable samples according to the adjusted crushing control parameters; and adjusting the crushing control parameters according to the real-time state parameters of the mobile crushing device and the real-time power of the mobile power supply during the crushing process. The present application can effectively improve the crushing effect of on-site sampling and crushing, and avoid the problem of poor crushing effect caused by power reduction or load fluctuation.

Description

Technical Field

[0001] This invention relates to the field of food sampling and testing, and in particular to a real-time sample crushing method and system using an intelligent portable fruit and vegetable crusher. Background Technology

[0002] With the increasing demand for on-site processing of fruit and vegetable samples in fields such as food safety testing, nutritional analysis, and agricultural quality assessment, portable fruit and vegetable crushing equipment has gradually become an important tool in scenarios such as field sampling, mobile laboratories, and on-site preliminary testing. In practice, sampling personnel often need to directly crush, homogenize, and pre-process fresh fruit and vegetable samples in non-experimental environments such as fields, farmers' markets, and distribution warehouses to ensure the authenticity, representativeness, and timeliness of the samples. Therefore, intelligent portable fruit and vegetable crushers with mobility and independent power supply capabilities have become a key type of on-site testing equipment.

[0003] However, although existing portable crushing equipment is portable in terms of size, weight and basic functions, the actual crushing effect in complex environments still varies greatly. In particular, for high-fiber, hard or high-moisture fruit and vegetable samples, the particle size distribution, uniformity and consistency after crushing often fail to meet the requirements of pretreatment for testing.

[0004] Especially in field settings, portable power banks have limited capacity, and the required speed and torque for crushing fruit and vegetable samples vary depending on their type, maturity, and moisture content. Existing equipment cannot detect changes in battery power or obtain real-time load status of the crushing device, leading to the following frequent problems: maintaining the initially set high speed may cause processing interruptions due to insufficient power later, affecting sample consistency; overly conservative parameter settings may result in insufficient crushing, affecting test results; and the lack of intelligent control methods leads to low energy efficiency and limits the equipment's endurance.

[0005] Therefore, the main problem with the existing technology is that it fails to dynamically adjust the crushing control parameters based on changes in power supply, and it also fails to assess the load kinetic energy state of the crushing device in real time, making it difficult to maintain a stable crushing effect and energy efficiency at different power levels. Summary of the Invention

[0006] In view of this, embodiments of the present invention provide a real-time crushing method and system for an intelligent portable fruit and vegetable crusher, which solves the problem that existing portable fruit and vegetable crushers cannot dynamically adjust control parameters according to the changes in kinetic energy of the crushing device caused by the decrease in power supply, which easily leads to a decrease in crushing effect.

[0007] In a first aspect, embodiments of the present invention provide a real-time sample crushing method using an intelligent portable fruit and vegetable crusher, characterized in that the portable fruit and vegetable crusher includes a mobile power supply and a mobile crushing device, the mobile power supply being electrically connected to the mobile crushing device for supplying energy to the mobile crushing device, and the method comprising: Based on the sample parameters of the fruit and vegetable samples to be crushed, obtain the crushing control parameters; The crushing control parameters are adjusted according to the current power level of the mobile power supply; The mobile crushing device is controlled to crush the fruit and vegetable samples according to the adjusted crushing control parameters. During the crushing process, the crushing control parameters are adjusted based on the real-time status parameters of the mobile crushing device and the real-time power of the mobile power supply.

[0008] Preferably, obtaining the crushing control parameters based on the sample parameters of the fruit and vegetable sample to be crushed includes: Based on the sample type input by the user, obtain sample parameters and sample weight, wherein the sample parameters include: moisture content, fiber density, target particle size and viscosity; Based on the sample parameters and sample weight, several crushing stages and corresponding stage parameters are obtained, wherein the stage parameters include rotation direction, rotation speed and stage time; The crushing control parameters are obtained by adjusting the parameters of each stage according to the rated parameters of the mobile crushing device.

[0009] Preferably, obtaining several crushing stages and corresponding stage parameters based on the sample parameters and sample weight includes: Based on the sample parameters, the crushing strength coefficient is obtained, wherein the crushing strength coefficient and each of the sample parameters have an exponential relationship. Based on the sample weight, obtain the initial crushing load value; Based on the crushing strength coefficient and the initial crushing load value, the target crushing load value required to crush the fruit and vegetable samples is obtained; Based on the target crushing load value and the preset fuzzy inference mapping rule, obtain each crushing stage and the corresponding initial stage parameters; Based on the rotation speed and rotation time of the initial stage parameters, the actual crushing load value of each crushing stage is obtained; The stage time of the corresponding crushing stage is adjusted according to the deviation between the actual crushing load value and the target crushing load value.

[0010] Preferably, the step involves obtaining each crushing stage and its corresponding initial stage parameters based on the target crushing load value and a preset fuzzy inference mapping rule; The number of crushing stages is determined based on the target crushing load value; The load distribution ratio between crushing stages is determined based on the target particle size, viscosity, and fiber density. The crushing load value for each crushing stage is determined based on the number of crushing stages and the load distribution ratio. The degree of membership of each sample parameter is determined based on the preset fuzzy membership function. Based on the fuzzy inference rule base and the membership degree, rule matching is performed on each fragmentation stage to obtain fuzzy output results; Based on the fuzzy output results and the stage crushing load values, the initial stage parameters corresponding to each crushing stage are determined.

[0011] Preferably, adjusting the stage parameters according to the rated parameters of the mobile crushing device to obtain the crushing control parameters includes: Based on the rated parameters, obtain the stage duration threshold and maximum speed value of the mobile crushing device at different speeds; Based on the stage duration threshold and the maximum rotational speed value, the rotational speed and / or stage duration of each stage parameter are adjusted. The interval duration is determined based on the viscosity and moisture content, wherein the viscosity and the interval duration are positively correlated, and the moisture content and the interval duration are negatively correlated. The corresponding interval duration is adjusted according to the rotation speed of each crushing stage after adjustment; The shift ratio of the mobile crushing device is calculated based on the adjusted interval duration and stage duration. When the shift ratio exceeds the shift ratio threshold, obtain the interval supplement amount; The interval duration is adjusted according to the interval time supplement. The crushing control parameters are obtained based on the interval duration and the adjusted stage parameters.

[0012] Preferably, adjusting the crushing control parameters based on the current power level of the mobile power supply includes... Based on the crushing control parameters and the rated parameters, the estimated power consumption is obtained; If the difference between the current power consumption and the expected power consumption is greater than a first threshold, the breakage control parameters will not be adjusted. When the difference between the current power consumption and the expected power consumption is between the second threshold and the first threshold, the crushing control parameters are linearly adjusted according to the difference. When the difference between the current power consumption and the expected power consumption is between the third threshold and the second threshold, the number of crushing stages and / or the crushing control parameters are adjusted according to the difference; When the difference between the current battery level and the estimated battery consumption is less than a third threshold, a battery replacement prompt is issued, wherein the second threshold is less than the first threshold, the first and second thresholds are positive numbers, and the third threshold is a negative number.

[0013] Preferably, the step of linearly adjusting the breakage control parameters based on the difference between the current power consumption and the expected power consumption is between a second threshold and a first threshold, including: Based on the current power level, breakage control parameters, and output characteristics of the power bank, a prediction model for the decay curve of the remaining power over time is obtained. Based on the attenuation curve prediction model, the rate of power loss of the mobile power supply in each stage of breakage is obtained. Based on the rate of decrease in electrical charge and the difference, determine the percentage decrease in rotational speed and the percentage increase in stage duration for each crushing stage; The crushing control parameters are linearly adjusted based on the ratio of decrease in rotational speed and the ratio of extension of stage duration.

[0014] Preferably, adjusting the number of crushing stages and / or the crushing control parameters based on the difference between the current power consumption and the expected power consumption is between a third threshold and a second threshold includes: Based on the stage parameters, the particle size impact and the first expected energy consumption of each crushing stage are obtained; Based on the degree of influence of particle size and the expected energy consumption, obtain the energy supply priority for each stage; The broken stages with a power supply priority lower than the priority threshold are recorded as stages to be merged, and the broken stages with a functional priority greater than or equal to the priority threshold are recorded as stages to be adjusted. If two stages to be merged are adjacent in time, they are merged according to the stage parameters of the adjacent stages to be merged, resulting in the merged stage and its corresponding stage parameters. If there are no temporally adjacent stages to be merged in a stage to be merged, the stage parameters of the corresponding stage to be merged are linearly adjusted according to the difference and the functional priority. Based on the adjusted stage parameters of the stages to be merged, obtain the second expected energy consumption for all stages to be merged; Based on the second expected energy consumption and the stage parameters of the stage to be adjusted, each stage to be adjusted is divided into several alternating high-speed crushing segments and low-speed crushing segments, wherein the rotation speed of the high-speed crushing segment is equal to the rotation speed of the corresponding stage to be adjusted, and the rotation speed of the low-speed crushing segment is determined based on the rotation speed of the stage to be adjusted and a preset speed reduction ratio. Based on the rotational speeds of the high-speed and low-speed crushing segments, the corresponding stage parameters of the stage to be adjusted are adjusted.

[0015] Preferably, adjusting the crushing control parameters during the crushing process based on the real-time status parameters of the mobile crushing device and the real-time power level of the mobile power supply includes: The real-time status parameters of the mobile crushing device are obtained, including the real-time speed of the motor, the load on the cutter shaft, and the running time of the current crushing stage. Based on the real-time status parameters and the stage parameters of the current crushing stage, the status deviation values ​​are obtained, including the rotation speed deviation, duration deviation, and power consumption deviation. Based on the stated state deviation value, the stage parameters for the next crushing stage are adjusted.

[0016] Secondly, embodiments of the present invention also provide a real-time sample crushing system for an intelligent portable fruit and vegetable crusher. The system includes: a mobile power supply and a mobile crushing device. The mobile power supply is electrically connected to the mobile crushing device and is used to power the mobile crushing device. The mobile crushing device includes a controller, a user input interface, a crushing barrel, and crushing components. The user input interface accepts manual input from the user. The crushing components include a motor, a rotating shaft, and crushing blades. The rotating shaft is driven to rotate by the rotation of the output shaft of the motor. The crushing blades are disposed on the rotating shaft and are located at the bottom of the crushing barrel. The controller is used to control the output shaft to drive the rotating shaft to rotate and drive the crushing blades to crush the fruit and vegetable samples located in the crushing barrel, according to the real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to any one of the first aspects.

[0017] In summary, the beneficial effects of the present invention are as follows: The intelligent portable fruit and vegetable crusher real-time sample crushing method and system provided in this invention determines crushing control parameters based on the sample parameters of the fruit and vegetable samples to be crushed, and dynamically adjusts the crushing control parameters by acquiring the current power level of the mobile power supply in real time during the crushing process to adapt to energy supply conditions under different power levels. Simultaneously, it continuously monitors the real-time status parameters of the mobile crushing device and further optimizes the crushing control parameters based on crushing load and power supply changes, achieving adaptive crushing control throughout the entire process. Through the above methods, this invention effectively improves the stability of crushing processing, avoids inconsistent crushing effects caused by power drops or load fluctuations, improves energy efficiency, extends equipment runtime, reduces equipment wear and abnormal downtime risks caused by low power or overload operation, and reduces the need for users to manually adjust parameters, significantly improving the intelligence level and user experience of portable crushing equipment. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments of the present invention will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, and these are all within the protection scope of the present invention.

[0019] Figure 1 This is a schematic diagram of the structure of the intelligent portable fruit and vegetable crusher provided in an embodiment of the present invention.

[0020] Figure 2 This is another structural schematic diagram of the intelligent portable fruit and vegetable crusher provided in the embodiments of the present invention.

[0021] Figure 3 This is an exploded view of part of the structure of the mobile crushing device of the intelligent portable fruit and vegetable crusher provided in an embodiment of the present invention.

[0022] Figure 4 This is a schematic flowchart of a real-time sample crushing method using an intelligent portable fruit and vegetable crusher according to an embodiment of the present invention.

[0023] Figure 5 This is another schematic diagram of the real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to an embodiment of the present invention.

[0024] Figure 6 This is another schematic diagram of the real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to an embodiment of the present invention.

[0025] Figure 7 This is another schematic diagram of the real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to an embodiment of the present invention.

[0026] 1. Mobile crushing device; 11. User input interface; 12. Crushing barrel; 13. Crushing assembly; 131. Motor; 1311. Output shaft; 132. Rotating shaft; 133. Crushing blade; 2. Mobile power supply device. Detailed Implementation

[0027] The features and exemplary embodiments of various aspects of the present invention will now be described in detail. To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the invention.

[0028] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0029] Example 1 This invention provides an intelligent portable fruit and vegetable crusher, see [link / reference]. Figures 1-3 The portable fruit and vegetable crusher in this embodiment includes a mobile crushing device 1, which is configured to be powered by a mobile power source and is suitable for crushing fruit and vegetable samples in the field or in environments without fixed power supply. The mobile crushing device 1 includes a controller (not shown), a user input interface 11, a crushing barrel 12, and a crushing component 13.

[0030] The storage unit is used to store control data such as fruit and vegetable sample parameters, working mode information, and output shaft rotation parameters; the control unit calls the data in the storage unit according to preset logic and judgment conditions to control the rotation state of the output shaft 1311. User input interface 11 is used to accept user input, including sample type, processing instructions, target particle size parameters, etc. The crushing barrel 12 is a sample holding space, and the crushing component 13 is installed inside it; The crushing assembly 13 includes a motor 131, a rotating shaft 132, and a crushing blade 133, wherein the output shaft 1311 of the motor 131 is connected to the rotating shaft 132 and is used to drive the rotating shaft 132 to rotate. The crushing blade 133 is mounted on the rotating shaft 132 and located in the bottom area of ​​the crushing barrel 12. Under the control of the controller, the output shaft 1311 rotates, driving the rotating shaft 132 to rotate, thereby driving the crushing blade 133 to shear and crush the fruit and vegetable samples placed in the crushing barrel 12.

[0031] With the above structural configuration, the controller can dynamically adjust the operating status of the crushing components based on sample information, set strategies, or real-time feedback, so as to achieve efficient and phased processing of fruit and vegetable samples. Based on the hardware structure of the portable fruit and vegetable crusher described above, please refer to... Figure 4 This invention also provides a real-time sample crushing method using an intelligent portable fruit and vegetable crusher, the method comprising: S1. Obtain crushing control parameters based on the sample parameters of the fruit and vegetable samples to be crushed; Specifically, sample parameters refer to a set of data that characterizes the properties of the fruit and vegetable samples to be crushed, including but not limited to the type of sample (e.g., apples, carrots, celery), hardness, moisture content, block size, and fiber content. The purpose of this step is to develop reasonable initial crushing control parameters, such as initial rotation speed, torque setting, and crushing time, based on the physical characteristics of different samples, thereby ensuring the targeted and sufficient crushing effect. The reasoning is that if different samples use the same control parameters, the crushing effect will inevitably vary, ranging from insufficient processing to damage to the sample structure or overloading of the equipment.

[0032] During implementation, users can select the sample type on the interface, or the sample parameters can be automatically read by connecting to an external testing device (such as a hardness tester). The corresponding preliminary crushing control parameters can then be queried through a preset parameter mapping table or database. If the sample type is not in the database, it can be set as the default parameter, or the user can be prompted to adjust it manually.

[0033] S2. Adjust the crushing control parameters according to the current power level of the mobile power supply; A portable power bank refers to a battery module that powers a portable crusher, typically a lithium battery or other lightweight rechargeable power source. Current battery level refers to the real-time value or percentage of remaining battery power. The purpose of this step is to dynamically optimize the crushing strategy based on the current remaining battery power, preventing sudden shutdowns, incomplete crushing, or low efficiency due to declining battery power. The underlying logic is that the initial crushing parameters are generally set based on a fully charged state. Maintaining high power output when the battery is low can easily trigger the system's undervoltage protection, interrupting the crushing process and affecting the user experience. In practice, the built-in power management module can read the battery data in real time and set different crushing parameter adjustment strategies based on the battery level (e.g., high, medium, low). For example, when the battery is above 70%, standard crushing parameters can be used; when the battery is between 30% and 70%, the speed and power should be appropriately reduced; when the battery is below 30%, the operation should be further downgraded, prioritizing crushing completion over speed.

[0034] S3. Control the mobile crushing device to crush the fruit and vegetable samples according to the adjusted crushing control parameters; The purpose of this step is to execute the crushing action optimized based on sample parameters and electrical status, ensuring an optimal balance between energy efficiency, performance, and stability in the crushing process. The underlying logic is that only by actually executing the crushing operation based on dynamically adjusted control parameters can the value of the aforementioned parameter optimization be truly realized; otherwise, even if the parameters are adjusted reasonably, they cannot be translated into an improvement in actual crushing performance. During implementation, the control unit sets the motor drive signal (such as a PWM pulse width modulation signal), torque limit, and running time according to the currently adjusted crushing control parameters, controlling the crushing cutter to operate according to the predetermined plan. Simple closed-loop control strategies can be combined during this process, such as real-time load fine-tuning based on motor current, to further optimize crushing consistency.

[0035] S4. During the crushing process, the crushing control parameters are adjusted according to the real-time status parameters of the mobile crushing device and the real-time power of the mobile power supply.

[0036] Real-time status parameters refer to the monitorable data generated by the crushing device during operation, including actual rotational speed, load current, vibration level, and cutter stall detection signals, reflecting the real-time information of the equipment's current operating status. The purpose of this step is to continuously monitor the equipment's operating status and power supply status during the crushing process, and further adaptively adjust the crushing control parameters to cope with dynamic changes in the sample crushing process and the continuous decrease in battery power. The reasoning is that during the crushing process of fruits and vegetables, the structure changes (e.g., large pieces initially become smaller, reducing the load), while the battery power continuously decreases. If the control parameters are not dynamically optimized accordingly, it may lead to reduced crushing efficiency or equipment damage.

[0037] During implementation, the control system reads parameters such as motor speed and load current in real time at a certain sampling frequency (e.g., 10 times per second) and compares them with expected values. If a sharp increase in load is detected (e.g., tool stall) or a rapid decrease in power, a parameter adaptive mechanism is triggered to dynamically reduce the speed, reduce the load, or switch to a low-power mode until crushing is complete. Simultaneously, based on the vibration level, it can determine whether the sample has been essentially crushed, thus allowing for timely termination of crushing and further energy savings.

[0038] This step enables intelligent management of the entire crushing process, ensuring consistent crushing results, significantly reducing the risk of unexpected downtime and equipment damage, improving system safety and intelligence, and ultimately enhancing the overall competitiveness of the product.

[0039] Preferably, see Figure 5 The step of obtaining crushing control parameters based on the sample parameters of the fruit and vegetable samples to be crushed includes: S11. Based on the sample type input by the user, obtain the sample parameters and sample weight, wherein the sample parameters include: moisture content, fiber density, target particle size and viscosity; In this step, sample type refers to the specific type of fruit and vegetable sample, such as apples, carrots, and strawberries. Different types of fruits and vegetables have different physical properties. Sample parameters refer to important indicators reflecting the breakage characteristics of fruit and vegetable samples, including moisture content (the proportion of water in the sample, such as 90% or 75%) and fiber density (the compactness of the fiber tissue, usually expressed in g / cm³). 3 The parameters to be selected include the target particle size (the desired particle size after crushing, such as 2mm or 5mm) and viscosity (reflecting the surface adhesion characteristics of the sample, affecting the crushing and mixing effect). The purpose of this step is to quickly match or derive the corresponding physical parameters based on the sample type input by the user, serving as the basis for subsequently setting the crushing scheme. Simultaneously, sample weight, as an important factor in load capacity, directly relates to the crusher's load calculation and energy consumption assessment. The derivation logic is that different samples have significantly different crushing behavior characteristics; crushing based solely on a uniform standard can easily lead to over- or under-crushing, therefore, it needs to be customized according to specific parameters. During implementation, a sample type selection menu can be provided through the user interface. When the user selects a specific fruit or vegetable type, the system automatically queries the built-in database to extract the corresponding standard parameters such as moisture content, fiber density, target particle size, and viscosity, and records the current sample weight through a weighing module or manual input to complete data acquisition. If the sample is a mixture, a weighted average method can be used to calculate the comprehensive parameters.

[0040] S12. Based on the sample parameters and sample weight, obtain several crushing stages and corresponding stage parameters, wherein the stage parameters include rotation direction, rotation speed and stage time. Rotation direction refers to the direction in which the motor drives the cutter to rotate, which can be clockwise or counterclockwise, or switch between different stages; rotation speed refers to the angular velocity of the cutter's rotation, usually expressed in revolutions per minute (rpm); stage time refers to the duration of each crushing stage.

[0041] The purpose of this step is to intelligently plan the various stages of the crushing process based on the previously collected sample parameters and weight, and to determine the optimal operating parameters for each stage to address potential load changes and material characteristic variations at different crushing stages. The fruit and vegetable crushing process is not static; different stages may require different intensities and strategies. Using a single parameter throughout the entire process will not simultaneously ensure crushing efficiency and quality. Parameter settings can be based on a preset crushing strategy library or derived through rule derivation. For example, high speed and forward rotation can be used in the initial stage for large-scale crushing; medium speed and alternating forward and reverse rotation can be used in the middle stage to improve uniformity; and low speed and stable direction can be used in the final stage for particle sorting and final venting. Sample weight will affect the overall energy distribution and stage duration settings; larger weights require longer stage durations or higher power. The parameter combinations for each stage can be stored as stage control commands for subsequent execution.

[0042] This step enables dynamic planning of the crushing process based on different sample characteristics, improving the phased adaptability of the crushing process, avoiding energy waste, increasing crushing efficiency and uniformity, and effectively improving the consistency and usability of the final sample.

[0043] S13. Adjust the parameters of each stage according to the rated parameters of the mobile crushing device to obtain the crushing control parameters.

[0044] Specifically, rated parameters refer to the standard operating capacity range determined during the design and manufacturing of a mobile crushing device, including indicators such as maximum speed, maximum torque, maximum continuous power, and maximum load. The purpose of this step is to correct these parameters after generating the initial stage parameters, taking into account the physical limitations of the crusher itself. This ensures that the final crushing control parameters can be stably executed within the equipment's capacity range, avoiding equipment damage or malfunctions caused by overload or overspeed operation. Even if a theoretically optimal crushing strategy exists, actual equipment constraints must be considered, and parameter settings must not exceed the safe operating limits of the crushing device.

[0045] During implementation, the rotational speed and torque load of each stage can be checked by parameter comparison. If the rotational speed set for a certain stage exceeds the maximum allowable value of the equipment, it will be reduced proportionally to a safe range. If the load prediction exceeds the rated load, the rotational direction switching frequency can be adjusted or the stage time can be extended to reduce the single load. After adjustment, the final version of the crushing control parameter set is generated and sent to the control module as the actual execution command.

[0046] Preferably, obtaining several crushing stages and corresponding stage parameters based on the sample parameters and sample weight includes: S121. Obtain the crushing strength coefficient based on the sample parameters, wherein the crushing strength coefficient and each of the sample parameters have an exponential relationship; Specifically, in this step, based on the sample's basic physical properties—including moisture content, fiber density, target particle size, and viscosity—the system calculates the sample's crushing strength coefficient. This coefficient reflects the unit crushing intensity required to crush this type of fruit and vegetable sample. Its value has a non-linear or exponential relationship with the sample parameters; the harder and denser the sample, the higher the corresponding crushing strength coefficient. This coefficient is used to estimate the overall crushing task's intensity level and serves as an important input variable for subsequent crushing load calculations.

[0047] S122. Obtain the initial crushing load value based on the sample weight; The initial crushing load value represents the theoretical total load required to complete the basic crushing task for the current batch of fruit and vegetable samples. Its calculation is based on the product of the crushing intensity coefficient obtained in step S121 and the sample weight. The sample weight can be automatically obtained by the weighing module or manually entered by the user. This value reflects the overall processing requirement of "sample volume × crushing difficulty" and is a key basis for the system to set control parameters such as the number, intensity, and duration of crushing stages. This estimation ensures that the workload of the crushing task is matched with the sample load, thereby improving crushing efficiency and processing consistency.

[0048] S123. Based on the crushing strength coefficient and the initial crushing load value, obtain the target crushing load value required to crush the fruit and vegetable sample; In this step, the system performs a weighted calculation based on the obtained crushing strength coefficient and the initial crushing load value to obtain the target crushing load value required for the fruit and vegetable sample in the actual crushing process. This value is used as the total load benchmark for the entire crushing process.

[0049] The crushing strength coefficient reflects the overall difficulty level of the sample's crushing resistance, while the initial crushing load reflects the total workload required due to the sample's overall mass. Multiplying the two yields the basic load required for the sample to complete the entire crushing task under theoretical conditions.

[0050] In a preferred embodiment, the system also introduces an "expected particle size accuracy factor" as an additional correction parameter. This factor is assigned an adjustment coefficient greater than 1 based on user settings or detection requirements (such as obtaining finer particles or highly uniform particle size distribution) to increase the target crushing load.

[0051] S124. Based on the target crushing load value and the preset fuzzy inference mapping rule, obtain each crushing stage and the corresponding initial stage parameters; This step employs a fuzzy inference mapping mechanism. Based on the target crushing load value and the available equipment capacity, the crushing process is intelligently divided into several stages, and initial control parameters are generated for each stage. The fuzzy inference model derives the rotation direction, rotation speed, and stage duration for each stage by setting rule relationships between sample state (e.g., "harder" or "higher viscosity"), load level (e.g., "higher" or "moderate"), and equipment operating mode (e.g., "high-speed initial crushing" or "low-speed finishing"). This process demonstrates the intelligence and adaptability of parameter setting, dynamically allocating the load according to changes in sample state, thus improving the accuracy and flexibility of crushing control.

[0052] S125. Based on the rotation speed and rotation time of the initial stage parameters, obtain the actual crushing load value for each crushing stage; The actual crushing load value is used to measure the actual contribution of each stage to the overall target load. This value is calculated based on parameters such as the rotational speed, running time, cutter structure, and crushing chamber characteristics set for that stage. The control system calculates the expected output load of that stage under current conditions using a load prediction model (or historical power characteristic curves). Quantifying the actual load helps to evaluate the matching degree between parameter settings and sample responses, providing a reliable basis for subsequent control strategies (such as time adjustment or rhythm reconstruction).

[0053] S126. Adjust the stage time of the corresponding crushing stage according to the deviation between the actual crushing load value and the target crushing load value.

[0054] In this step, the system compares the cumulative value of the actual crushing load with the target crushing load value to determine whether the current crushing process deviates from the expected energy curve. If the deviation is negative, meaning the current crushing load is insufficient, the time of subsequent stages is extended to supplement the load; if the deviation is positive, indicating that crushing is nearing completion, the time of subsequent stages can be appropriately shortened to save energy. By dynamically adjusting the stage time, the load can be precisely compensated without changing the rotational speed and shear characteristics, maximizing energy efficiency and reducing the risk of sample structure damage caused by over-crushing.

[0055] Preferably, the step involves obtaining each crushing stage and its corresponding initial stage parameters based on the target crushing load value and a preset fuzzy inference mapping rule; S1241. Determine the number of crushing stages based on the target crushing load value; The target crushing load value is an important indicator for measuring the overall scale of the crushing task. In the actual crushing process, dividing the crushing process into several stages helps to improve the crushing uniformity and energy efficiency.

[0056] The system can dynamically determine the number of crushing stages based on the target crushing load value. For example, when the total load demand is small, it can be divided into 2-3 stages for rapid crushing; if the total energy demand is large, it can be further subdivided into 4 or more stages to complete the crushing task gradually and precisely. Reasonable stage division helps to distribute the load, control energy consumption fluctuations, and improve the stability of the crushing process and the consistency of the final product.

[0057] S1242. Determine the load distribution ratio between crushing stages based on the target particle size, viscosity, and fiber density. In this step, the system sets the appropriate crushing load proportion for each stage based on the sample's key physical properties. Specifically: smaller target particle size indicates higher crushing precision requirements, necessitating more load for the later fine crushing stage; higher viscosity makes the sample prone to blade adhesion or accumulation, requiring increased shear load in the early to mid-stages to promote material turnover; higher fiber density corresponds to greater initial crushing resistance, requiring a higher load allocation in the early stages to achieve structural disintegration. For example, for high-fiber, high-viscosity samples, over 60% of the load can be allocated in the first two stages; while for low-viscosity, low-density soft fruits and vegetables, the load can be evenly distributed or intensified in the later stages. This proportional setting mechanism matches the load allocation to the sample's crushing characteristics, thereby improving processing efficiency and reducing unnecessary energy consumption.

[0058] S1243. Determine the stage crushing load value for each crushing stage based on the number of crushing stages and the load distribution ratio. Given the number of stages and the load percentage of each stage, the system further calculates the target crushing load value for each crushing stage, denoted as the stage crushing load value. This value represents the load task to be completed in that stage and is the specific objective around which subsequent parameter settings (such as rotational speed and time) are based. For example, when the total target crushing load is 600 units, the number of stages is 3, and the load distribution ratio is 50% : 30% : 20%, then the loads for each stage are 300, 180, and 120, respectively. Clearly defining the stage load ensures that each stage has a clear processing target, allowing the rotational speed and duration parameters to be quantitatively derived, avoiding uneven energy distribution or inconsistent processing quality due to subjective settings.

[0059] S1244. Determine the degree of membership of each sample parameter according to the preset fuzzy membership function; Fuzzy membership functions are a fundamental tool in fuzzy logic, used to describe the degree to which a certain value belongs to a certain fuzzy set (such as "high moisture content", "medium fiber density", etc.).

[0060] In this step, the system calculates the membership degree of sample parameters such as target particle size, viscosity, and fiber density in different fuzzy sets using a preset membership function. For example, a sample with 80% moisture content might have a membership degree of 0.9 in the "high moisture" set and 0.1 in the "medium moisture" set. This mechanism maps the actual characteristics of the sample to the fuzzy inference system, providing input for subsequent rule derivation and making the fragmentation strategy more refined and adaptive.

[0061] S1245. Based on the fuzzy inference rule base and the membership degree, perform rule matching on each fragmentation stage to obtain fuzzy output results; A fuzzy inference rule base is a pre-defined set of rules used to deduce a crushing strategy based on the fuzzy state of sample parameters. For example, a rule could be: "If the moisture content is high and the fiber density is medium, then the initial crushing speed should be high and the time should be moderate." In this step, the system, based on the aforementioned membership results, invokes a pre-defined fuzzy rule base to perform fuzzy inference. The fuzzy rule base consists of a set of empirical or experimental rules, for example: If the fiber density is high and a fine particle size is required, a high rotation speed and long duration are used in the initial stage; if the viscosity is high and the moisture content is medium, reverse rotation is used to assist agitation in the middle stage. The system derives preliminary control suggestions for each stage through condition matching and fuzzy synthesis, such as the rotation speed range, approximate time range, and whether reverse rotation is needed. These fuzzy outputs are not directly executed but serve as the basis for subsequent precise parameterization, enabling the control system to possess a certain degree of flexibility and learning ability when dealing with variable samples.

[0062] S1246. Based on the fuzzy output results and the stage crushing load values, determine the initial stage parameters corresponding to each crushing stage.

[0063] Finally, based on the defined load values ​​and control recommendations for the fuzzy inference output at each stage, the system quantifies this fuzzy information into executable parameters.

[0064] In this process, the fuzzy output results need to be concretized into executable rotation speed, rotation direction, and stage time values, while ensuring that these parameters can meet the corresponding stage load requirements. For example, if fuzzy inference suggests using a high rotation speed in the first stage, then the corresponding specific rotation speed and running time are set in conjunction with the stage load value to ensure that both sample characteristics and energy distribution requirements are met. Through this setting, the crushing process can be executed accurately and efficiently, effectively improving crushing quality and overall equipment performance.

[0065] Preferably, adjusting the stage parameters according to the rated parameters of the mobile crushing device to obtain the crushing control parameters includes: S131. Based on the rated parameters, obtain the stage duration threshold and maximum speed value of the mobile crushing device at different speeds; By reading the equipment's rated parameter table or preset database, the threshold duration of each stage corresponding to different rotational speeds, as well as the equipment's maximum permissible rotational speed, can be determined. This data provides a basic reference for subsequent adjustments to the rotational speed and time settings of each crushing stage, helping to avoid the risk of equipment damage due to exceeding time or speed limits during the crushing process.

[0066] S132. Adjust the rotation speed and / or stage duration of each stage parameter according to the stage duration threshold and the maximum rotation speed value; Based on the information obtained in the previous step, the rotation speed and stage time initially set for each crushing stage need to be reasonably adjusted.

[0067] If the rotational speed set for a certain stage is higher than the maximum rotational speed of the equipment, it needs to be adjusted down to a safe range; if the running time set for a certain stage exceeds the stage duration threshold at the corresponding rotational speed, the stage time needs to be shortened or it needs to be broken down into multiple sub-stages. Through such adjustments, it can be ensured that the parameter settings for each crushing stage can meet the crushing requirements without exceeding the safe operating range of the equipment, thereby effectively extending the service life of the equipment and improving the reliability and stability of the system operation.

[0068] S133. Determine the interval duration based on the viscosity and moisture content, wherein the viscosity and the interval duration are positively correlated, and the moisture content and the interval duration are negatively correlated; Interval duration refers to the pause time between crushing stages, used for brief equipment rest, heat release, or sample settling adjustment.

[0069] In this step, the interval time is dynamically set based on the sample characteristics. Higher viscosity makes the material more prone to adhesion or entanglement during crushing, requiring a longer interval time to allow the material to loosen naturally. Conversely, higher moisture content results in better material flowability, allowing for a shorter interval time. Dynamically determining a reasonable interval time by considering both sample viscosity and moisture content helps improve the continuity of the crushing process, reduces the occurrence of abnormalities such as stalling and blade sticking, and ultimately improves overall crushing efficiency.

[0070] S134. Adjust the corresponding interval duration according to the rotation speed of each crushing stage after adjustment; Rotational speed directly affects the heat accumulation and load changes of the crusher. The higher the rotational speed, the greater the heat generation and mechanical impact during the crushing process, and the longer the interval time is required to complete heat dissipation and buffering; at lower rotational speeds, the interval can be appropriately shortened.

[0071] Therefore, based on the initially set interval duration, further adjustments are needed according to the actual adjusted rotation speed at each crushing stage. This allows for more precise matching of the equipment's operating load, improves operational stability, and avoids problems such as shutdowns due to overheating or decreased crushing efficiency due to insufficient intervals.

[0072] S135. Calculate the shift ratio of the mobile crushing device based on the adjusted interval duration and stage duration. The duty-to-work ratio refers to the ratio of the actual working time of the equipment to the total working cycle time (including running time and interval time), reflecting the operating load of the equipment.

[0073] In this step, the shift ratio of the complete crushing process is calculated by summing the adjusted running time of each crushing stage with the corresponding interval time. An excessively high shift ratio means that the equipment is working continuously at a high intensity, with insufficient heat dissipation and a risk of overheating; a moderate shift ratio indicates that the crushing and rest rhythm is reasonable, which helps to maintain the long-term stable operation of the equipment.

[0074] S136. When the shift ratio exceeds the shift ratio threshold, obtain the interval supplement amount; The shift ratio threshold is a reasonable upper limit of load set based on the equipment's thermal management performance and design specifications. For example, the safe shift ratio threshold for a certain crusher is set at 70%, meaning that the operating time should ideally not exceed 70 seconds out of every 100 seconds.

[0075] When the calculated shift ratio exceeds the preset threshold, it indicates that the equipment is under excessive continuous load and requires additional intervals to reduce operational intensity. In this case, the system calculates the required interval compensation based on the excess, providing a basis for subsequent adjustments and ensuring that crushing operations continue within a safe range.

[0076] S137. Adjust the interval duration according to the interval time supplement; Based on the replenishment amount obtained in the previous step, the original interval duration for each crushing stage is appropriately increased. This adjustment can be achieved using a uniform distribution method, where the replenishment amount is proportionally and evenly distributed between stages; alternatively, the interval after the high-load stage can be increased first to achieve more precise heat control and equipment protection. By reasonably adjusting the interval duration, not only can the equipment load be effectively reduced and continuous working time extended, but the overall crushing rhythm can also be optimized, improving crushing efficiency and sample processing quality.

[0077] S138. The crushing control parameters are obtained based on the interval duration and the adjusted stage parameters.

[0078] Specifically, after adjusting all parameters such as rotation speed, stage duration, and interval duration, a final set of crushing control parameters is formed. These parameters will guide the actual operation of the crusher at each stage, including control commands for crushing start, stop, switching rotation direction, and adjusting speed, ensuring that the crushing operation achieves an optimal balance in terms of sample adaptability, equipment protection, and energy efficiency. The final crushing control parameters enable the crusher to effectively extend equipment life, improve overall operational reliability, and enhance user experience while ensuring crushing effect.

[0079] Preferably, see Figure 6 The step of adjusting the crushing control parameters based on the current power level of the mobile power supply includes: S21. Obtain the estimated power consumption based on the crushing control parameters and the rated parameters; The estimated power consumption refers to the power required to complete the entire crushing task under the currently set crushing control parameters, typically measured in watt-hours (Wh) or milliampere-hours (mAh). Crushing control parameters include the rotational speed, stage time, and interval time for each stage, while rated parameters include the equipment's rated power and motor efficiency. In this step, the system multiplies the estimated power consumption of each stage by the stage time and sums them to obtain the total estimated energy consumption. This method allows for advance assessment of the power requirements of the current crushing plan, providing a basis for adjusting the crushing strategy and preventing interruptions due to insufficient power during execution.

[0080] S22. When the difference between the current power consumption and the expected power consumption is greater than the first threshold, the breakage control parameters are not adjusted. The first threshold is set to a positive value to represent a safe power margin. When the current remaining power of the power bank is subtracted from the estimated power consumption, if the difference is greater than the first threshold, it indicates that the remaining power is sufficient to support the successful completion of the crushing task using the original crushing control parameters. In this case, the system does not need to adjust the crushing control parameters and directly executes the crushing process according to the initial settings, ensuring optimal crushing results and avoiding unnecessary changes in the crushing process due to over-adjustment, thus improving ease of operation and stability.

[0081] In another embodiment, step S22 can be replaced by: S022. When the difference between the current power consumption and the expected power consumption is greater than a first threshold, a quality-priority mode is executed, wherein the quality-priority mode includes: S0221. Retain all preset fragmentation stages without merging or deleting any stages. Specifically, all originally set crushing stages are executed, including coarse crushing, medium crushing, refining, and stabilization stages. This quality-priority mode is designed for scenarios where the current power consumption is significantly higher than the expected power consumption, i.e., when power redundancy is sufficient. In this case, the primary goal is no longer optimal energy efficiency, but rather prioritizing the consistency of particle size, the degree of refinement, and the processing quality after sample crushing. Therefore, operations such as stage merging, removal of non-critical stages, and time compression are not performed to avoid interfering with the integrity of the crushing process. The aim is to ensure the integrity of the staged particle size progression control chain, laying the foundation for high-quality sample processing.

[0082] S0222. Determine the stage delay ratio based on the target particle size; The system identifies the required particle size control level of the sample based on user input or detection target. Each level corresponds to a preset stage delay ratio (e.g., 5%, 10%, 15%). This ratio is directly used to control the increase in runtime of the final stage (usually the most critical stage for particle size refinement).

[0083] S0223. Adjust the operation of the final crushing stage according to the stage delay ratio; If the motor load during the crushing process is consistently low or the load fluctuation exceeds the set threshold, the running time of the current stage is further extended. By monitoring parameters such as motor load and current curve during the crushing stage, it is determined whether the actual shearing is sufficient. If the load remains low (insufficient shearing) or the load fluctuates greatly (the structure is not uniformly loosened), it indicates that the sample still needs further processing. At this time, the running time of the current stage is automatically extended as a real-time quality assurance strategy. This is a closed-loop compensation control, which improves adaptability and particle size consistency.

[0084] Optionally, a particle size stabilization stage can be inserted between the penultimate stage and the final crushing stage to reduce particle size fluctuations and improve crushing consistency.

[0085] Some samples (such as those containing sugars or viscous substances) are prone to particle size rebound or agglomeration after refining due to residual heat or inertia from the cutting tools. Therefore, a short-duration, low-speed particle size stabilization section is inserted between the penultimate stage and the final stage to stabilize the particle state, balance residual stress from crushing, and improve the consistency of the final particle size distribution. S23. When the difference between the current power consumption and the expected power consumption is between the second threshold and the first threshold, the breakage control parameter is linearly adjusted according to the difference. The second threshold is lower than the first threshold, falling within a range where power supply is tight but still acceptable. In this case, to ensure the crushing process can be completed smoothly while preserving as much residual power as possible, the system linearly adjusts the crushing control parameters based on the difference. Specifically, the system can appropriately reduce the rotational speed of each crushing stage, shorten the stage duration, or optimize the interval strategy according to the proportion of the difference, thereby reducing overall energy consumption. This adjustment is continuous and gradual, avoiding abrupt changes in crushing performance and helping to maintain crushing quality and smooth equipment operation to the greatest extent possible under energy-constrained conditions.

[0086] S24. When the difference between the current power consumption and the expected power consumption is between the third threshold and the second threshold, the number of crushing stages and / or the crushing control parameters are adjusted according to the difference. A negative third threshold indicates that the battery is nearing a critically low level. When the difference between the remaining battery and the projected consumption is between the third and second thresholds, it suggests that without significant adjustments, the crushing task may not be completed.

[0087] In this scenario, the system can not only further reduce the rotational speed or stage duration, but also directly reduce the number of crushing stages. For example, multi-stage crushing can be combined into fewer coarse crushing stages to reduce overall energy consumption. When necessary, critical crushing operations can be prioritized, while end-stage crushing with high requirements for particle size or fineness can be abandoned, ensuring that crushing tasks are completed as much as possible with limited power, balancing functionality and energy utilization efficiency.

[0088] S25. When the difference between the current battery level and the estimated battery consumption is less than a third threshold, a battery replacement prompt is issued, wherein the second threshold is less than the first threshold, the first and second thresholds are positive numbers, and the third threshold is a negative number. When the difference between the remaining battery power and the expected consumption is less than the third threshold, it means that even with extreme compression and crushing tasks, the remaining battery power is insufficient to complete the entire crushing process. At this point, the system automatically triggers a battery replacement prompt, notifying the user to replace the power supply or replenish the battery power in a timely manner.

[0089] Timely alerts can effectively prevent the risk of abnormal interruption of the crushing process, sample processing failure, or damage to the equipment battery due to power depletion, while ensuring the reliability of the crushing equipment and the consistency of sample processing.

[0090] Preferably, the step of linearly adjusting the breakage control parameters based on the difference between the current power consumption and the expected power consumption is between a second threshold and a first threshold, including: S231. Based on the current power level, breakage control parameters, and output characteristics of the power bank, obtain a prediction model for the decay curve of the remaining power over time. Specifically, the power decay curve prediction model is used to describe the trend of the remaining power of a power bank changing over time under specific load conditions. Due to differences in battery chemistry, internal resistance changes, and discharge plateaus, the power decay rate of different power banks is not linear, and the decay curve may exhibit an asymmetrical shape, especially when the load fluctuates significantly.

[0091] In this step, the system combines the current power level, the set crushing control parameters (such as rotation speed and load power), and the output characteristic curve of the power bank to establish a real-time updated power decay prediction model. By accurately simulating the power change trend over time, it can provide a quantitative basis for energy consumption allocation and adjustment in subsequent stages, avoiding interruptions or energy efficiency imbalances caused by power estimation errors during the crushing process.

[0092] S232. Based on the attenuation curve prediction model, obtain the rate of power loss of the mobile power supply in each breaking stage; The rate of battery depletion refers to the rate at which the remaining battery power changes per unit of time, usually expressed in mAh / min or % / min. The actual rate of battery depletion varies depending on the set rotation speed and load at different crushing stages.

[0093] In this step, the power consumption rate for each stage of the breakdown is extracted using the aforementioned decay curve prediction model. This allows for a detailed understanding of the contribution of each stage to the overall power consumption, laying the foundation for developing targeted adjustment strategies and ensuring more accurate and efficient overall power utilization.

[0094] S233. Based on the rate of decrease in power and the difference, determine the percentage decrease in rotational speed and the percentage increase in stage duration for each crushing stage. The percentage reduction in rotational speed refers to the percentage by which each crushing stage needs to be reduced relative to the original set speed in order to reduce energy consumption per stage; the percentage extension of stage duration refers to the percentage by which each crushing stage needs to be appropriately extended in order to compensate for the reduced crushing effect that may result from the speed reduction.

[0095] In this step, based on the rate of energy loss at each crushing stage and the overall energy difference, a reasonable ratio of speed reduction to time extension is determined. For example, in stages with a high rate of energy loss, the ratio of rotational speed reduction should be appropriately increased; while in stages with a low rate of energy loss, higher efficiency can be maintained. Through this strategy, crushing efficiency and energy consumption can be dynamically balanced, maximizing the use of limited energy to complete the target crushing task.

[0096] S234. The crushing control parameters are linearly adjusted according to the ratio of decrease in rotational speed and the ratio of extension of stage duration.

[0097] After obtaining the percentage decrease in rotational speed and the percentage increase in stage duration for each stage, the system makes linear adjustments to the original crushing control parameters, that is, adjusts the rotational speed and stage duration proportionally.

[0098] The adjusted crushing control parameters not only match the current energy status of the mobile power supply but also maintain crushing uniformity and processing effectiveness as much as possible. A linear adjustment method enables a smooth transition without abrupt changes, avoiding crushing anomalies or equipment load fluctuations caused by drastic parameter adjustments, thus ensuring the continuity of the crushing process and the consistency of sample processing.

[0099] Preferably, adjusting the number of crushing stages and / or the crushing control parameters based on the difference between the current power consumption and the expected power consumption is between a third threshold and a second threshold includes: S241. Based on the stage parameters, obtain the particle size influence degree and the first expected energy consumption for each crushing stage; The degree of particle size impact refers to the contribution of a certain crushing stage to the final target particle size refinement, reflecting the importance of that stage in the overall crushing effect. The first expected energy consumption refers to the estimated electrical energy consumption of that stage based on stage parameters (such as rotational speed and time). In this step, the system, based on the set parameters of each stage, evaluates the actual effect of each stage on particle size improvement through simulation or empirical data analysis, and calculates its corresponding energy consumption requirements. This analysis clarifies the importance of different crushing stages, providing a basis for subsequent adjustments and optimizations, and ensuring that limited power resources prioritize the execution of key crushing stages.

[0100] S242. Based on the degree of influence of particle size and the expected energy consumption, obtain the energy supply priority for each stage; Energy supply priority is used to comprehensively evaluate the importance and energy efficiency of each crushing stage. Stages with higher particle size impact and lower expected energy consumption have higher energy supply priority; conversely, their priority decreases. By considering both particle size contribution and energy consumption, the system assigns a specific energy supply priority score to each crushing stage. This score serves as a crucial basis for subsequent stage merging or adjustment decisions, ensuring that the most valuable crushing stages are retained when power is limited, thus optimizing the overall crushing task completion rate.

[0101] S243. Record the broken stages with power supply priority less than the priority threshold as the stages to be merged, and record the broken stages with functional priority greater than or equal to the priority threshold as the stages to be adjusted. Priority thresholds are preset dividing criteria used to distinguish the importance of different stages. In this step, based on the aforementioned energy supply priorities, the system marks fragmentation stages with priorities below the threshold as stages to be merged, ready for merging or simplification; while stages with priorities above or equal to the threshold are marked as stages to be adjusted, retaining their basic independence, and their parameters are fine-tuned to adapt to energy constraints. This classification ensures that the adjustment process is targeted, avoiding a significant decrease in overall fragmentation effectiveness due to indiscriminate reduction.

[0102] S244. If two stages to be merged are adjacent in time, then merge them according to the stage parameters of the adjacent stages to be merged to obtain the merged stage and its corresponding stage parameters. During the merging phase, if there are temporally adjacent phases, the system can merge them into a new crushing phase. The parameters of the merged phase are comprehensively set based on the rotation speed, direction, and phase time of the original phase, such as taking a weighted average or maximum value, to retain the necessary crushing effect. By merging adjacent phases, the number of phases and overall energy consumption can be significantly reduced while ensuring the continuity of the overall crushing process, providing greater flexibility and safety for crushing operations in environments with limited power.

[0103] S245. If there are no time-adjacent stages to be merged in a stage to be merged, the stage parameters of the corresponding stage to be merged are linearly adjusted according to the difference and the functional priority. For those stages that exist in isolation on the timeline and cannot be merged, the system optimizes their parameters by linear adjustment based on the remaining power difference and the power supply priority of that stage.

[0104] This typically involves moderately reducing the rotational speed, shortening the stage duration, or adjusting the crushing rhythm to reduce the energy consumption of a single stage to an acceptable level while preserving as much of the crushing effect as possible. This linear adjustment strategy allows for fine-tuning the energy consumption of isolated stages, avoiding crushing failures caused by drastic reductions.

[0105] S246. Based on the adjusted stage parameters of the stages to be merged, obtain the second expected energy consumption of all stages to be merged. After completing the stage merging and parameter adjustment, the system recalculates the estimated energy consumption of all stages to be merged, obtaining updated second estimated energy consumption values. This process helps to monitor the adjusted energy distribution in real time, providing a quantitative basis for further subdivision and control of the stages to be adjusted, and ensuring that the overall energy consumption meets the remaining power limit requirements.

[0106] S247. Based on the second expected energy consumption and the stage parameters of the stage to be adjusted, each stage to be adjusted is divided into several alternating high-speed crushing segments and low-speed crushing segments, wherein the rotation speed of the high-speed crushing segment is equal to the rotation speed of the corresponding stage to be adjusted, and the rotation speed of the low-speed crushing segment is determined based on the rotation speed of the stage to be adjusted and a preset speed reduction ratio. In the previous steps, the system has completed the integration and parameter adjustment of the low-priority merging stages, obtaining the updated energy consumption estimate, i.e., the second expected energy consumption. In this step, in order to further optimize the operating efficiency of the high-priority stages (i.e., the stages to be adjusted) under the current remaining power conditions, the system introduces a sub-cycle division mechanism for these stages, that is, subdividing a crushing stage into multiple alternating high-speed and low-speed sub-segments to achieve a dynamic balance between crushing effect and energy consumption control.

[0107] Specifically, the high-speed crushing segment operates at the originally set rotational speed to maintain its maximum crushing efficiency and is used to dominate the particle size refinement and fiber shearing process; the low-speed crushing segment calculates the reduced rotational speed through a preset reduction ratio (e.g., 40% to 60%), mainly used for short-term buffering, reducing instantaneous current, suppressing temperature rise, and promoting material tumbling in some high-viscosity samples.

[0108] The high-speed-low-speed approach described above maintains the peak shear rate of each stage while reducing the average power consumption and discharge rate within that stage by inserting a buffered load operation segment. This makes it particularly suitable for energy management scenarios where the current power level is between the second and third thresholds. This pulse strategy enables the equipment to rhythmically output crushing load under limited energy conditions, extending operating time, avoiding sudden power drops, and enhancing equipment stability while meeting particle size control requirements.

[0109] S248. Adjust the stage parameters of the corresponding stage to be adjusted according to the rotation speed of the high-speed crushing stage and the low-speed crushing stage.

[0110] Based on the segment cycle division, the specific execution parameters for the adjustment phase are redefined and issued to ensure actual operational capability and controllability. Specifically, the high-speed crushing segment maintains its original set value to ensure the output of the main shear load. The low-speed crushing segment is calculated according to the preset speed reduction ratio (e.g., 50%, 60%) and verified to be above the equipment's rated minimum speed to ensure stable operation. The duration of each segment is determined based on the remaining power prediction model and the average power consumption characteristics of the segment. For example, when the discharge rate drops rapidly, the system will shorten the high-speed segment and extend the low-speed segment to smooth energy consumption. After each stage adjustment, the expected total crushing load is recalculated and compared with the target load for that stage. If there is a deviation, the system will make fine adjustments in subsequent stages to ensure that the overall crushing task completion rate is close to the predetermined target.

[0111] Through this refined adjustment method, the pulse control strategy not only achieves an energy-saving operation mode without reducing the crushing quality, but also ensures the matching between control parameters and sample physical properties and equipment load-bearing capacity, providing a flexible, controllable and highly energy-efficient control method for crushing tasks under complex electrical conditions.

[0112] Preferably, see Figure 7 The adjustment of the crushing control parameters during the crushing process, based on the real-time status parameters of the mobile crushing device and the real-time power level of the mobile power supply, includes: S41. Obtain the real-time status parameters of the mobile crushing device, including the real-time speed of the motor, the load on the cutter shaft, and the running time of the current crushing stage; Real-time status parameters refer to index data dynamically collected during the crushing process that reflects the current operating status of the equipment. The real-time motor speed is used to monitor the actual operating speed of the equipment when performing the crushing task; the cutter shaft load reflects the changes in the mechanical load borne by the cutter when crushing materials; and the running time of the current crushing stage is used to monitor the progress of each stage.

[0113] In this step, the control system collects the aforementioned status parameters in real time through its internal sensor modules. This data reflects the crusher's workload, execution accuracy, and energy consumption during actual operation, providing fundamental information for subsequent assessment of whether the crushing status conforms to the preset plan and facilitating intelligent dynamic management of the crushing process.

[0114] S42. Based on the real-time status parameters and the stage parameters of the current crushing stage, obtain the status deviation value, wherein the rotation speed deviation, duration deviation, and power consumption deviation are included. The state deviation value is used to measure the degree of difference between the actual operating condition and the preset stage parameters. The speed deviation represents the difference between the actual motor speed and the preset rotational speed; the duration deviation reflects the difference between the current crushing stage running time and the planned time; and the power consumption deviation is the deviation between the current rate of power consumption decrease and the expected energy consumption level.

[0115] In this step, the system compares the real-time status parameters with the target parameters for the current stage and calculates the various deviation indicators. This process helps to dynamically detect anomalies or changes during the crushing process, such as increased load or decreased rotational speed due to changes in sample hardness. This provides a basis for timely adjustment of the control strategy for the next stage, thereby improving the stability and adaptability of the crushing operation.

[0116] S43. Adjust the stage parameters of the next crushing stage according to the state deviation value.

[0117] Based on the aforementioned state deviation values, the system optimizes and adjusts the stage parameters for the next crushing stage.

[0118] If the actual rotational speed is detected to be lower than the preset value, and the load increases, it may be necessary to appropriately reduce the target rotational speed of the next stage and extend the stage time to ensure uniform crushing. If the power consumption is too fast, the power output can be reduced simultaneously or the interval settings can be optimized to avoid interrupting operations due to power depletion. By specifically adjusting the rotational speed, running time, and control strategy of the next stage, the system can adaptively respond to changes in actual load and energy conditions, ensuring the continuity of the crushing process and the consistency of the finished product quality, while extending the equipment's operating range and improving overall energy efficiency.

[0119] Example 2 This invention also provides an intelligent portable fruit and vegetable crusher real-time sample crushing system, characterized in that the system includes: a mobile power supply and a mobile crushing device, the mobile power supply being electrically connected to the mobile crushing device for powering the mobile crushing device, the mobile crushing device including a controller, a user input interface, a crushing barrel, and crushing components, the user input interface accepting manual input from the user, the crushing components including a motor, a rotating shaft, and crushing blades, the rotating shaft being driven to rotate by the rotation of the output shaft of the motor, the crushing blades being disposed on the rotating shaft, the crushing blades being located at the bottom of the crushing barrel, the controller being used to control the output shaft to drive the rotating shaft to rotate the crushing blades to crush the fruit and vegetable samples located in the crushing barrel according to the intelligent portable fruit and vegetable crusher real-time sample crushing method described in Embodiment 1.

[0120] The system includes a portable power supply and a mobile crushing device. The portable power supply is electrically connected to the mobile crushing device to provide a stable power supply. The portable power supply can be a portable high-energy-density power module such as a lithium-ion battery pack or a lithium polymer battery. It is lightweight, rechargeable, and can meet the needs of the equipment in outdoor or environments without a fixed power source.

[0121] The mobile crushing device internally includes a controller, a user input interface, a crushing drum, and crushing components. The controller, which can be a microprocessor, embedded control chip, or a small control unit with edge computing capabilities, is primarily responsible for data acquisition, parameter calculation, crushing process control, and issuing dynamic adjustment commands during the crushing process. The user input interface receives manually entered operating commands from the user. Users can select the sample type, target particle size, and start or stop the operation via a touchscreen, physical buttons, or knobs. The interface is simple and intuitive, allowing different users to quickly learn how to use it.

[0122] The crushing chamber is the working cavity for containing fruit and vegetable samples. It is typically made of food-grade high-strength materials that are corrosion-resistant, easy to clean, and have internal splash guards or flow-guiding structures to optimize material flow during the crushing process. The crushing components include a motor, a rotating shaft, and crushing blades. The motor is the power source, usually a high-speed DC motor or a brushless motor. The rotating shaft is connected to the motor's output shaft and rotates through the motor's output torque. The crushing blades are fixedly mounted on the rotating shaft and located at the bottom of the crushing chamber. They can rotate at high speed under the drive of the shaft, efficiently shearing and crushing the fruit and vegetable samples inside the crushing chamber.

[0123] During system operation, the controller dynamically acquires crushing control parameters based on the sample type and target parameters input by the user, combined with the real-time power status of the power bank, and invokes the steps described in Example 1. It then controls the rotational speed and direction of the motor output shaft according to the preset parameters, thereby driving the shaft and crushing blades to perform the crushing action. During crushing, the controller also monitors the operating status parameters of the crushing device (such as motor speed, load current, and running time) and the remaining power of the power bank in real time. Based on the monitoring results, it dynamically adjusts the crushing strategy to adapt to changes in sample size and power level, ensuring the uniformity of the crushing effect and the stability of the system operation.

[0124] With the above configuration, the intelligent portable fruit and vegetable crusher real-time sample crushing system provided by the present invention can intelligently adjust crushing parameters based on sample characteristics and power status under the condition of mobile power supply, so as to achieve efficient, stable and energy-saving sample crushing processing, significantly improve the intelligence level and practical performance of portable crushing equipment, and has good application prospects.

[0125] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0126] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] It should also be noted that the exemplary embodiments mentioned in this invention describe methods or systems based on a series of steps or apparatus. However, this invention is not limited to the order of the steps described above; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0131] The above description is merely a specific embodiment of the present invention. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A real-time sample crushing method using an intelligent portable fruit and vegetable crusher, characterized in that, The portable fruit and vegetable crusher includes a mobile power supply and a mobile crushing device. The mobile power supply is electrically connected to the mobile crushing device and is used to supply power to the mobile crushing device. The method includes: Based on the sample parameters of the fruit and vegetable samples to be crushed, obtain the crushing control parameters; The crushing control parameters are adjusted according to the current power level of the mobile power supply; The mobile crushing device is controlled to crush the fruit and vegetable samples according to the adjusted crushing control parameters. During the crushing process, the crushing control parameters are adjusted according to the real-time status parameters of the mobile crushing device and the real-time power of the mobile power supply. The step of obtaining crushing control parameters based on the sample parameters of the fruit and vegetable samples to be crushed includes: Based on the sample type input by the user, obtain sample parameters and sample weight, wherein the sample parameters include: moisture content, fiber density, target particle size and viscosity; Based on the sample parameters and sample weight, several crushing stages and corresponding stage parameters are obtained, wherein the stage parameters include rotation direction, rotation speed and stage time; Based on the rated parameters of the mobile crushing device, the parameters of each stage are adjusted to obtain the crushing control parameters; The step of obtaining several crushing stages and corresponding stage parameters based on the sample parameters and sample weight includes: Based on the sample parameters, the crushing strength coefficient is obtained, wherein the crushing strength coefficient and each of the sample parameters have an exponential relationship. Based on the sample weight, obtain the initial crushing load value; Based on the crushing strength coefficient and the initial crushing load value, the target crushing load value required to crush the fruit and vegetable samples is obtained; Based on the target crushing load value and the preset fuzzy inference mapping rule, obtain each crushing stage and the corresponding initial stage parameters; Based on the rotation speed and rotation time of the initial stage parameters, the actual crushing load value of each crushing stage is obtained; The stage time of the corresponding crushing stage is adjusted according to the deviation between the actual crushing load value and the target crushing load value.

2. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 1, characterized in that, The step involves obtaining each crushing stage and its corresponding initial stage parameters based on the target crushing load value and a preset fuzzy inference mapping rule. The number of crushing stages is determined based on the target crushing load value; The load distribution ratio between crushing stages is determined based on the target particle size, viscosity, and fiber density. The crushing load value for each crushing stage is determined based on the number of crushing stages and the load distribution ratio. The degree of membership of each sample parameter is determined based on the preset fuzzy membership function. Based on the fuzzy inference rule base and the membership degree, rule matching is performed on each fragmentation stage to obtain fuzzy output results; Based on the fuzzy output results and the stage crushing load values, the initial stage parameters corresponding to each crushing stage are determined.

3. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 1, characterized in that, The step of adjusting the parameters of each stage according to the rated parameters of the mobile crushing device to obtain the crushing control parameters includes: Based on the rated parameters, obtain the stage duration threshold and maximum speed value of the mobile crushing device at different speeds; Based on the stage duration threshold and the maximum rotational speed value, the rotational speed and / or stage duration of each stage parameter are adjusted. The interval duration is determined based on the viscosity and moisture content, wherein the viscosity and the interval duration are positively correlated, and the moisture content and the interval duration are negatively correlated. The corresponding interval duration is adjusted according to the rotation speed of each crushing stage after adjustment; The shift ratio of the mobile crushing device is calculated based on the adjusted interval duration and stage duration. When the shift ratio exceeds the shift ratio threshold, obtain the interval supplement amount; The interval duration is adjusted according to the interval time supplement. The crushing control parameters are obtained based on the interval duration and the adjusted stage parameters.

4. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to any one of claims 1-3, characterized in that, The step of adjusting the crushing control parameters based on the current power level of the mobile power supply includes... Based on the crushing control parameters and the rated parameters, the estimated power consumption is obtained; If the difference between the current power consumption and the expected power consumption is greater than a first threshold, the breakage control parameters will not be adjusted. When the difference between the current power consumption and the expected power consumption is between the second threshold and the first threshold, the crushing control parameters are linearly adjusted according to the difference. When the difference between the current power consumption and the expected power consumption is between the third threshold and the second threshold, the number of crushing stages and / or the crushing control parameters are adjusted according to the difference; When the difference between the current battery level and the estimated battery consumption is less than a third threshold, a battery replacement prompt is issued, wherein the second threshold is less than the first threshold, the first and second thresholds are positive numbers, and the third threshold is a negative number.

5. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 4, characterized in that, When the difference between the current power consumption and the expected power consumption is between a second threshold and a first threshold, the breakage control parameters are linearly adjusted based on the difference, including: Based on the current power level, breakage control parameters, and output characteristics of the power bank, a prediction model for the decay curve of the remaining power over time is obtained. Based on the attenuation curve prediction model, the rate of power loss of the mobile power supply in each stage of breakage is obtained. Based on the rate of decrease in electrical charge and the difference, determine the percentage decrease in rotational speed and the percentage increase in stage duration for each crushing stage; The crushing control parameters are linearly adjusted based on the ratio of decrease in rotational speed and the ratio of extension of stage duration.

6. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 4, characterized in that, The step of adjusting the number of crushing stages and / or the crushing control parameters based on the difference between the current power consumption and the expected power consumption is between a third threshold and a second threshold includes: Based on the stage parameters, the particle size impact and the first expected energy consumption of each crushing stage are obtained; Based on the degree of influence of particle size and the expected energy consumption, obtain the energy supply priority for each stage; The broken stages with a power supply priority lower than the priority threshold are recorded as stages to be merged, and the broken stages with a functional priority greater than or equal to the priority threshold are recorded as stages to be adjusted. If two stages to be merged are adjacent in time, they are merged according to the stage parameters of the adjacent stages to be merged, resulting in the merged stage and its corresponding stage parameters. If there are no temporally adjacent stages to be merged in a stage to be merged, the stage parameters of the corresponding stage to be merged are linearly adjusted according to the difference and the functional priority. Based on the adjusted stage parameters of the stages to be merged, obtain the second expected energy consumption for all stages to be merged; Based on the second expected energy consumption and the stage parameters of the stage to be adjusted, each stage to be adjusted is divided into several alternating high-speed crushing segments and low-speed crushing segments, wherein the rotation speed of the high-speed crushing segment is equal to the rotation speed of the corresponding stage to be adjusted, and the rotation speed of the low-speed crushing segment is determined based on the rotation speed of the stage to be adjusted and a preset speed reduction ratio. Based on the rotational speeds of the high-speed and low-speed crushing segments, the corresponding stage parameters of the stage to be adjusted are adjusted.

7. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 4, characterized in that, During the crushing process, the crushing control parameters are adjusted based on the real-time status parameters of the mobile crushing device and the real-time power level of the mobile power supply, including: The real-time status parameters of the mobile crushing device are obtained, including the real-time speed of the motor, the load on the cutter shaft, and the running time of the current crushing stage. Based on the real-time status parameters and the stage parameters of the current crushing stage, a status deviation value is obtained, wherein the status deviation value includes rotational speed deviation, duration deviation and power consumption deviation, wherein the duration deviation reflects the difference between the running time of the current crushing stage and the planned time; Based on the stated state deviation value, the stage parameters for the next crushing stage are adjusted.

8. A real-time sample crushing system for an intelligent portable fruit and vegetable crusher, characterized in that, The system includes: a mobile power supply and a mobile crushing device. The mobile power supply is electrically connected to the mobile crushing device and is used to power the mobile crushing device. The mobile crushing device includes a controller, a user input interface, a crushing barrel, and crushing components. The user input interface accepts manual input from the user. The crushing components include a motor, a rotating shaft, and crushing blades. The rotating shaft is driven to rotate by the output shaft of the motor. The crushing blades are mounted on the rotating shaft and are located at the bottom of the crushing barrel. The controller is used to control the output shaft to drive the rotating shaft and the crushing blades to rotate in order to crush the fruit and vegetable samples located in the crushing barrel according to the real-time crushing method of the intelligent portable fruit and vegetable crusher according to any one of claims 1-7.

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