Real-time sample crushing method and system of intelligent portable fruit and vegetable crusher

Abstract

The invention relates to the technical field of food sampling detection, solves the problems of poor sample crushing effect and low energy efficiency utilization rate during food field sampling in the prior art, and provides a real-time sample crushing method and system of an intelligent portable fruit and vegetable crusher. The method comprises the following steps: acquiring crushing control parameters according to sample parameters of a fruit and vegetable sample to be crushed; adjusting the breaking control parameter according to the current electric quantity of the mobile power supply; controlling a movable crushing device to crush the fruit and vegetable sample according to the adjusted crushing control parameters; and in the crushing treatment process, the crushing control parameters are adjusted according to the real-time state parameters of the mobile crushing device and the real-time electric quantity of the mobile power source. The crushing effect of field sampling and crushing treatment can be effectively improved, and the problem that the crushing effect becomes poor due to electric quantity reduction or load fluctuation is solved.

Description

Technical Field

[0001] The present invention relates to the field of food sampling and detection, and in particular to a real-time sample crushing method and system for an intelligent portable fruit and vegetable crusher. Background Art

[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 a vital tool for field sampling, mobile laboratories, and on-site initial inspections. In practice, samplers often need to crush, homogenize, and pre-process fresh fruit and vegetable samples directly in non-laboratory 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 fluctuates greatly, especially for high-fiber, hard or high-moisture fruit and vegetable samples. The particle size distribution, uniformity and consistency after crushing are often difficult to meet the pre-testing requirements.

[0004] Especially in the field, mobile power banks have limited capacity, and fruit and vegetable samples vary in speed and torque during the crushing process, depending on their type, maturity, moisture content, and other factors. Existing equipment cannot sense the changing trends in battery charge or the real-time load status of the crushing device during operation, leading to the following frequent problems: If the initial high speed setting is maintained, processing may be interrupted later due to insufficient power, affecting sample consistency; overly conservative parameter settings may result in incomplete crushing, affecting test results; and the lack of intelligent control methods leads to inefficient energy utilization and limits the device's battery life.

[0005] Therefore, the main problems of the existing technology are: it fails to dynamically adjust the crushing control parameters based on the changes in power supply, and fails to evaluate the load kinetic energy state of the crushing device in real time, making it difficult to maintain stable crushing effects and energy efficiency utilization at different power stages. Summary of the Invention

[0006] In view of this, an embodiment of the present invention provides a real-time sample crushing method and system for an intelligent portable fruit and vegetable crusher, which is used to solve the problem that the existing portable fruit and vegetable crusher cannot dynamically adjust the control parameters according to the change of 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, an embodiment of the present invention provides a real-time sample crushing method for 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: Obtaining crushing control parameters according to sample parameters of the fruit and vegetable samples to be crushed; Adjusting the crushing control parameters according to the current power level of the mobile power supply; Controlling the mobile crushing device 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 state parameters of the mobile crushing device and the real-time power level of the mobile power supply.

[0008] Preferably, the obtaining of crushing control parameters according to sample parameters of the fruit and vegetable sample to be crushed includes: Obtain sample parameters and sample weight according to the sample type input by the user, wherein the sample parameters include: moisture content, fiber density, target particle size and viscosity; Obtaining a plurality of crushing stages and corresponding stage parameters according to the sample parameters and the sample weight, wherein the stage parameters include a rotation direction, a rotation speed, and a stage time; According to the rated parameters of the mobile crushing device, each stage parameter is adjusted to obtain the crushing control parameters.

[0009] Preferably, obtaining a plurality of crushing stages and corresponding stage parameters according to the sample parameters and the sample weight includes: Obtaining a crushing strength coefficient according to the sample parameters, wherein the crushing strength coefficient is exponentially related to each of the sample parameters; Obtaining an initial crushing load value according to the sample weight; Obtaining a target crushing load value required to crush the fruit and vegetable sample according to the crushing strength coefficient and the initial crushing load value; According to the target crushing load value and the preset fuzzy inference mapping rule, each crushing stage and the corresponding initial stage parameters are obtained; Obtaining an actual crushing load value at each crushing stage according to the rotation speed and rotation time of the initial stage parameters; According to the deviation between the actual crushing load value and the target crushing load value, the stage time of the corresponding crushing stage is adjusted.

[0010] Preferably, each crushing stage and the corresponding initial stage parameters are obtained according to the target crushing load value and a preset fuzzy inference mapping rule; determining the number of crushing stages according to the target crushing load value; Determine the load distribution ratio between the crushing stages based on the target particle size, viscosity and fiber density; Determine the crushing load value of each crushing stage according to the number of crushing stages and the load distribution ratio; Determine the degree of membership of each sample parameter according to the preset fuzzy membership function; According to the fuzzy reasoning rule base and the membership degree, the rules of each fragmentation stage are matched to obtain the fuzzy output result; The initial stage parameters corresponding to each crushing stage are determined according to the fuzzy output result and the stage crushing load value.

[0011] Preferably, the adjusting of each stage parameter according to the rated parameters of the mobile crushing device to obtain the crushing control parameters includes: According to the rated parameters, obtaining stage duration thresholds and maximum speed values of the mobile crushing device at different speeds; adjusting the rotation speed and / or stage duration of each of the stage parameters according to the stage duration threshold and the maximum rotation speed value; Determining an interval duration according to the viscosity and the water content, wherein the viscosity and the interval duration are positively correlated, and the water content and the interval duration are negatively correlated; Adjust the corresponding interval length according to the adjusted rotation speed of each crushing stage; Calculating the duty ratio of the mobile crushing device according to the adjusted interval duration and stage duration; When the duty ratio exceeds a duty ratio threshold, obtaining an interval replenishment amount; Adjusting the interval duration according to the interval time replenishment amount; The crushing control parameter is obtained according to the interval duration and the adjusted stage parameter.

[0012] Preferably, the adjusting of the crushing control parameters according to the current power of the mobile power source includes: Obtaining estimated power consumption according to the crushing control parameter and the rated parameter; When the difference between the current power consumption and the estimated power consumption is greater than a first threshold, the crushing control parameter is not adjusted; When the difference between the current power consumption and the estimated power consumption is between the second threshold and the first threshold, linearly adjusting the crushing control parameter according to the difference; When the difference between the current power consumption and the estimated power consumption is between a third threshold and a second threshold, adjusting the number of crushing stages and / or the crushing control parameter according to the difference; When the difference between the current power consumption and the expected power 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 threshold and the second threshold are positive numbers, and the third threshold is a negative number.

[0013] Preferably, when the difference between the current power consumption and the expected power consumption is between the second threshold and the first threshold, linearly adjusting the crushing control parameter according to the difference includes: Based on the current power level, crushing control parameters and the output characteristics of the mobile power supply, a decay curve prediction model of the remaining power over time is obtained; According to the attenuation curve prediction model, obtaining the power reduction rate of the mobile power supply in each fragmentation stage; Determining a ratio of decrease in rotation speed and a ratio of extension of stage duration in each crushing stage according to the power decrease rate and the difference; The crushing control parameter is linearly adjusted according to the rotation speed reduction ratio and the stage duration extension ratio.

[0014] Preferably, when the difference between the current power consumption and the expected power consumption is between a third threshold and a second threshold, adjusting the number of crushing stages and / or the crushing control parameter according to the difference includes: According to the stage parameters, the particle size influence degree and the first expected energy consumption of each crushing stage are obtained; Obtaining the energy supply priority for each stage according to the granularity impact degree and the expected energy consumption; The fragmented stages with energy supply priority less than the priority threshold are recorded as stages to be merged, and the fragmented stages with function 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 to obtain the merged stage and its corresponding stage parameters; If a stage to be merged does not have a temporally adjacent stage to be merged, linearly adjusting the stage parameters of the corresponding stage to be merged according to the difference and the function priority; Obtaining the second expected energy consumption of all stages to be merged according to the adjusted stage parameters of the stages to be merged; Dividing each stage to be adjusted into a plurality of alternating high-speed crushing sub-segments and low-speed crushing sub-segments based on the second expected energy consumption and the stage parameters of the stage to be adjusted, wherein the rotation speed of the high-speed crushing sub-segment is equal to the rotation speed of the corresponding stage to be adjusted, and the rotation speed of the low-speed crushing sub-segment is determined based on the rotation speed of the stage to be adjusted and a preset speed reduction ratio; According to the rotation speeds of the high-speed crushing sub-segment and the low-speed crushing sub-segment, the stage parameters of the corresponding stage to be adjusted are adjusted.

[0015] Preferably, during the crushing process, the crushing control parameters are adjusted according to the real-time state parameters of the mobile crushing device and the real-time power of the mobile power supply, including: Acquiring real-time status parameters of the mobile crushing device, wherein the real-time status parameters include the real-time speed of the motor, the load of the cutter shaft, and the running time of the current crushing stage; According to the real-time state parameters and the stage parameters of the current crushing stage, a state deviation value is obtained, wherein the rotation speed deviation, the duration deviation and the power consumption deviation; According to the state deviation value, the stage parameters of the next crushing stage are adjusted.

[0016] In the second aspect, an embodiment of the present invention further provides a real-time sampling crushing system for an intelligent portable fruit and vegetable crusher, the system comprising: 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, the mobile crushing device comprising a controller, a user input interface, a crushing barrel and a crushing assembly, the user input interface accepting manual input from the user, the crushing assembly comprising a motor, a rotating shaft and a crushing knife, the rotating shaft being driven to rotate by the output shaft of the motor, the crushing knife being arranged on the rotating shaft, and the crushing knife being located at the bottom of the crushing barrel, the controller being used to control the output shaft to drive the rotating shaft to drive the crushing knife to rotate to crush the fruit and vegetable samples located in the crushing barrel according to the real-time sampling crushing method for an intelligent portable fruit and vegetable crusher described in any one of the first aspects.

[0017] In summary, the beneficial effects of the present invention are as follows: The real-time sample crushing method and system for an intelligent portable fruit and vegetable crusher provided in an embodiment of the present invention determines the crushing control parameters according to the sample parameters of the fruit and vegetable samples to be crushed, and obtains the current power of the mobile power supply in real time during the crushing process, and dynamically adjusts the crushing control parameters to adapt to the energy supply conditions under different power states. At the same time, the real-time state parameters of the mobile crushing device are continuously monitored, and the crushing control parameters are further optimized according to the crushing load and power supply changes, thereby realizing adaptive crushing control throughout the entire process. Through the above-mentioned methods, the present invention can effectively improve the stability of the crushing process, avoid the problem of inconsistent crushing effects due to power drop or load fluctuations; improve energy efficiency utilization, extend equipment life; reduce equipment loss and abnormal shutdown risks caused by low power or overload operation; and at the same time, reduce the need for users to manually adjust parameters, significantly improving the intelligence level and user experience of portable crushing equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work, and these are all within the scope of protection of the present invention.

[0019] Figure 1 The figure is a schematic structural diagram of an intelligent portable fruit and vegetable crusher provided by an embodiment of the present invention.

[0020] Figure 2 This is another structural diagram of the intelligent portable fruit and vegetable crusher provided by an embodiment of the present invention.

[0021] Figure 3 It is an exploded schematic diagram of a partial structure of a mobile crushing device of an intelligent portable fruit and vegetable crusher provided by an embodiment of the present invention.

[0022] Figure 4 The present invention is a flow chart of a real-time sample crushing method of an intelligent portable fruit and vegetable crusher.

[0023] Figure 5 This is another flow chart 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 flow chart 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 flow chart 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 DESCRIPTION

[0027] The features and exemplary embodiments of various aspects of the present invention will be described in detail below. In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with the accompanying drawings and Examples. 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 implemented without the need for some of these specific details. The following description of the embodiments is merely to provide a better understanding of the present invention by illustrating examples of the present invention.

[0028] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, the elements defined by the phrase "comprising..." do not exclude the presence of other identical elements in the process, method, article, or device comprising the elements.

[0029] Example 1

[0030] The embodiment of the present invention provides an intelligent portable fruit and vegetable crusher. Figure 1-Figure 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 supply and is suitable for crushing fruit and vegetable samples in the field or in an environment with non-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 assembly 13.

[0031] 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; The 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 assembly 13 is arranged inside; The crushing assembly 13 includes a motor 131, a rotating shaft 132 and a crushing knife 133, wherein the output shaft 1311 of the motor 131 is connected to the rotating shaft 132 to drive the rotating shaft 132 to rotate; The crushing blade 133 is mounted on the rotating shaft 132 and is disposed in the bottom area of the crushing barrel 12. Under the control of the controller, the output shaft 1311 rotates to drive 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.

[0032] Through the above structural configuration, the controller can dynamically adjust the operating status of the crushing component according to sample information, set strategies or real-time feedback, so as to achieve efficient and staged processing of fruit and vegetable samples; Based on the hardware structure of the above portable fruit and vegetable crusher, see Figure 4 The embodiment of the present invention further provides a real-time sample crushing method for an intelligent portable fruit and vegetable crusher, the method comprising: S1. Obtaining crushing control parameters according to sample parameters of the fruit and vegetable sample to be crushed; Specifically, sample parameters refer to a set of data that characterizes the characteristics of the fruit and vegetable sample to be crushed, including but not limited to sample type (e.g., apples, carrots, celery), hardness, moisture content, block size, fiber content, etc. The purpose of this step is to develop reasonable initial crushing control parameters, such as initial rotational speed, torque setting, and crushing time, tailored to the physical properties of different samples, thereby ensuring targeted and sufficient crushing results. The logic behind this is that using the same control parameters for different samples will inevitably lead to inconsistent crushing results, resulting in either insufficient processing at best or damage to the sample structure or equipment overload at worst.

[0033] During implementation, the user can select the sample type on the interface, or connect an external testing device (such as a hardness tester) to automatically read the sample parameters. The corresponding preliminary crushing control parameters are then retrieved from a preset parameter mapping table or database. If the sample type is not in the database, the default parameters can be set or the user can be prompted to manually adjust them.

[0034] S2. adjusting the crushing control parameter according to the current power level of the mobile power supply; A mobile power source is the battery module that powers the portable crusher, typically a lithium battery or other lightweight rechargeable power source. The current battery level refers to the real-time value or percentage of the remaining battery charge. The purpose of this step is to dynamically optimize the crushing strategy based on the current remaining battery level to avoid sudden equipment shutdowns, incomplete crushing, or inefficient crushing due to a drop in battery level. The reasoning is that the crushing parameters initially set for the device are generally based on a full battery. Maintaining high power output when the battery level is low can easily trigger undervoltage protection, interrupting the crushing process and impacting the user experience. During implementation, the built-in power management module reads battery level data in real time and sets different crushing parameter adjustment strategies based on the battery level (e.g., high, medium, or low). For example, when the battery level is above 70%, standard crushing parameters are used; when the battery level is between 30% and 70%, the speed and power are appropriately reduced; and when the battery level drops below 30%, the machine is further downshifted, prioritizing complete crushing over speed.

[0035] S3, controlling 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 after optimizing the sample parameters and power status, to ensure that the crushing process achieves the optimal balance between energy efficiency, effect and stability. The derivation logic is that only by actually performing the crushing operation based on the dynamically adjusted control parameters can the value of the aforementioned parameter optimization be truly reflected. Otherwise, even if the parameters are adjusted reasonably, it cannot be converted into an improvement in the actual crushing performance. During the implementation process, the control unit sets the motor drive signal (such as PWM pulse width modulation signal), torque limit, running time, etc. according to the currently adjusted crushing control parameters, and controls the crushing tool to operate according to the predetermined plan. During this period, a simple closed-loop control strategy can be combined, such as fine-tuning the load in real time according to the motor current, to further optimize the crushing consistency.

[0036] S4. During the crushing process, the crushing control parameters are adjusted according to the real-time state parameters of the mobile crushing device and the real-time power level of the mobile power supply.

[0037] Real-time status parameters refer to the monitorable data generated by the crushing device during operation, including actual rotational speed, load current, vibration level, tool jam detection signal, etc., which can reflect the real-time information of the current working status of the equipment. The purpose of this step is to continuously monitor the operating status and power status of the equipment during the crushing process, and further adaptively adjust the crushing control parameters to cope with the dynamic changes in the sample crushing process and the continuous decline in power. The deduction logic is that during the crushing process, the structure of fruit and vegetable samples will change (such as initial large pieces becoming smaller pieces and the load being reduced), and the battery power will continue to decline. If the control parameters are not dynamically optimized, it may lead to reduced crushing efficiency or equipment damage.

[0038] 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 (e.g., tool stall) or a rapid drop in battery power is detected, the adaptive parameter mechanism is triggered to dynamically reduce speed, load, or switch to low-power mode until crushing is complete. Furthermore, based on the vibration level, the system can determine whether the sample is nearly crushed, allowing it to terminate crushing prematurely and further save energy.

[0039] Through this step, the entire crushing process can be managed intelligently, which not only ensures the consistency of the crushing effect, but also significantly reduces the risk of unexpected downtime and equipment loss, improves the safety and intelligence of the system, and ultimately enhances the overall competitiveness of the product.

[0040] Preferably, see Figure 5 The method of obtaining crushing control parameters according to the sample parameters of the fruit and vegetable sample to be crushed includes: S11. Obtaining sample parameters and sample weight according to the sample type input by the user, 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 or vegetable sample, such as apples, carrots, and strawberries. Different types of fruits and vegetables have different physical properties. Sample parameters are key indicators of the crushing characteristics of fruit and vegetable samples, including moisture content (the percentage of water in the sample, such as 90% or 75%), fiber density (the density of the fiber structure, typically expressed in g / cm³), target particle size (the desired particle size after crushing, such as 2mm or 5mm), and viscosity (reflecting the surface adhesion of the sample, which affects crushing and mixing performance). The purpose of this step is to quickly match or derive corresponding physical parameters based on the sample type entered by the user, which will serve as a basis for subsequent crushing plan settings. Furthermore, sample weight, as a key factor in load size, is directly related to the crusher's load calculation and energy consumption assessment. The reasoning behind this derivation is that different samples have significantly different crushing behavior characteristics. Crushing based solely on a single standard can easily lead to over- or under-crushing, so a customized crushing solution based on specific parameters is necessary. During implementation, a sample type selection menu is provided through the user interface. Once 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. The system then records the current sample weight via a weighing module or manual input, completing data collection. If the sample is a mixture, a weighted average method can be used to calculate the comprehensive parameters.

[0041] S12. Acquire several crushing stages and corresponding stage parameters according to the sample parameters and the sample weight, wherein the stage parameters include a rotation direction, a rotation speed, and a stage time; The direction of rotation refers to the direction in which the crushing device's motor drives the cutter to rotate, which can be clockwise or counterclockwise, or switch between different stages; the rotation speed refers to the angular velocity of the cutter's rotation, usually expressed in revolutions per minute (rpm); and the stage time refers to the length of time each crushing stage lasts.

[0042] The purpose of this step is to intelligently plan the various stages of the crushing process based on the sample parameters and sample weight collected above, and to develop optimal operating parameters for each stage to cope with load changes and material property changes that may occur in the different crushing stages of the sample. The fruit and vegetable crushing process is not static. Different stages may require different forces and strategies. A single parameter throughout the entire process will not be able to take into account both crushing efficiency and crushing quality. Parameters can be set based on a preset crushing strategy library or through rule deduction. For example: in the early stage, high speed and forward direction are used for large-piece crushing; in the middle stage, medium speed and alternating forward and reverse rotation are used to improve uniformity; and in the final stage, low speed and stable direction are used for particle sorting and terminal exhaust. The weight of the sample will affect the overall energy distribution and the setting of the stage time. The heavier the weight, the longer the stage time or the higher the power. The parameter combination for each stage can be stored as a stage control instruction for subsequent execution.

[0043] Through this step, the crushing process can be dynamically planned according to different sample characteristics, the adaptability of the crushing process can be improved, energy waste can be avoided, the crushing efficiency and uniformity can be improved, and the consistency and usability of the final sample can be effectively improved.

[0044] S13. Adjust the parameters of each stage according to the rated parameters of the mobile crushing device to obtain the crushing control parameters.

[0045] Specifically, rated parameters refer to the standard operating capacity range determined during the design and manufacture of the mobile crushing device, including indicators such as maximum speed, maximum torque, maximum continuous power, and maximum load capacity. The purpose of this step is to calibrate the parameters of each stage after generating the preliminary stage parameters, taking into account the physical performance limitations of the crusher itself, to ensure that the final crushing control parameters can be stably executed within the equipment's capabilities, avoiding equipment damage or abnormal operation due to overloading or overspeeding. Even if there is an optimal crushing strategy in theory, actual equipment constraints must be taken into account, and parameter settings cannot exceed the upper limit of the crushing device's safe operation.

[0046] During implementation, the rotational speed and torque load at each stage are checked through parameter comparison. If the speed set for a particular stage exceeds the maximum allowable value for the equipment, it is proportionally reduced to a safe range. If the load is predicted to exceed the rated load, the frequency of rotational direction switching or the stage duration can be adjusted to reduce the single load. After these adjustments, the final set of crushing control parameters is generated and issued to the control module as the actual execution instruction.

[0047] Preferably, obtaining a plurality of crushing stages and corresponding stage parameters according to the sample parameters and the sample weight includes: S121. Obtaining a crushing strength coefficient according to the sample parameters, wherein the crushing strength coefficient is exponentially related to each of the sample parameters; Specifically, in this step, the system calculates the sample's crushing strength coefficient based on its basic physical properties—including moisture content, fiber density, target particle size, and viscosity. This coefficient reflects the specific crushing strength required to crush the fruit or vegetable sample. Its value exhibits a nonlinear or exponential relationship with the sample parameters: the harder and denser the sample, the larger the corresponding crushing strength coefficient. This coefficient is used to estimate the overall crushing strength level and serves as an important input variable for subsequent crushing load calculations.

[0048] S122, obtaining an initial crushing load value according to 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. This 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 (sample volume x crushing difficulty) and is a key factor in determining control parameters such as the number, intensity, and duration of crushing stages. This estimate ensures that the crushing intensity is appropriately matched to the sample load, thereby improving crushing efficiency and processing consistency.

[0049] S123, obtaining a target crushing load value required for crushing the fruit and vegetable sample according to the crushing strength coefficient and the initial crushing load value; 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.

[0050] 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 together yields the base load required to complete the entire crushing process under theoretical conditions.

[0051] In the preferred embodiment, the system also introduces the "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 test requirements (such as obtaining finer particles or highly uniform particle size distribution) to increase the target crushing load. S124. Obtaining parameters of each crushing stage and the corresponding initial stage according to the target crushing load value and a preset fuzzy inference mapping rule; This step utilizes a fuzzy inference mapping mechanism to intelligently divide the crushing process into several stages based on the target crushing load and the available equipment capacity, generating initial control parameters for each stage. The fuzzy inference model establishes a regular relationship between sample state (e.g., "hard," "highly sticky"), load level (e.g., "high," "moderate"), and equipment operating mode (e.g., "high-speed initial crushing," "low-speed finishing") to derive the rotation direction, speed, and duration for each stage. This process demonstrates the intelligent and adaptable nature of parameter setting, dynamically allocating load based on changes in sample state, and enhancing the precision and flexibility of crushing control.

[0052] S125, obtaining an actual crushing load value in each crushing stage according to the rotation speed and rotation time of the initial stage parameters; The actual crushing load value measures each stage's actual contribution to the overall target load. This value is calculated based on parameters such as the rotational speed, run time, cutter structure, and crushing chamber characteristics set for that stage. The control system uses a load prediction model (or historical power characteristic curve) to calculate the expected output load for that stage under current conditions. Quantifying the actual load helps assess the match between parameter settings and sample response, providing a reliable basis for subsequent control strategies (such as time adjustment or cadence reconfiguration).

[0053] S126. Adjusting 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 actual crushing load with the target crushing load to determine whether the current crushing process deviates from the expected energy curve. If the deviation is negative, indicating insufficient crushing load, the subsequent stages are extended to compensate for the load. If the deviation is positive, indicating near-complete crushing, the subsequent stages can be shortened to conserve energy. By dynamically adjusting the stage duration, load can be precisely compensated without changing the speed or shear characteristics, maximizing energy efficiency and reducing the risk of sample structural damage caused by overcrushing.

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

[0056] Based on the target crushing load, the system dynamically determines the number of crushing stages. For example, when the total load demand is low, the crushing process can be divided into two or three stages for rapid crushing. If the total energy demand is high, the crushing process can be divided into four or more stages to achieve a gradual and precise crushing task. This rational division of stages 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 proportion of crushing load that should be borne by each stage based on the key physical properties of the sample. Specifically, the smaller the target particle size, the higher the crushing accuracy required, and more load needs to be reserved for the later fine crushing stage; the greater the viscosity, the more likely the sample will adhere to the tool or accumulate, and the shear load needs to be increased in the middle and early stages to promote material turning; the higher the fiber density, the greater the initial breaking resistance, and a higher load needs to be allocated in the early stage to achieve structural disintegration. For example: for high-fiber, high-viscosity samples, more than 60% of the load can be allocated in the first two stages; for low-viscosity, low-density soft fruits and vegetables, they can be evenly distributed or intensified in the later stages. Through this ratio setting mechanism, the load distribution can be matched with the sample crushing characteristics, thereby improving processing efficiency and reducing unnecessary energy consumption.

[0058] S1243. Determine a crushing load value for each crushing stage according to the number of crushing stages and the load distribution ratio; Given the number of stages and the load distribution of each stage, the system further calculates the target crushing load for each crushing stage, recorded as the stage crushing load value. This value represents the load task required to be completed in that stage and serves as the specific goal around which subsequent parameter settings (such as speed and time) revolve. For example, if the total target crushing load is 600 units, the number of stages is 3, and the load distribution ratio is 50%:30%:20%, the loads in each stage are 300, 180, and 120, respectively. Clarifying the stage load ensures that each stage has a clear processing target, allowing the rotation 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 a preset fuzzy membership function; The fuzzy membership function is a basic tool in fuzzy logic, which is used to describe the degree to which a value belongs to a fuzzy set (such as "high moisture content", "medium fiber density", etc.).

[0060] In this step, the system uses preset membership functions to calculate the membership of sample parameters such as target particle size, viscosity, and fiber density within different fuzzy sets. For example, a sample with an 80% moisture content might have a membership 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 into the fuzzy inference system, providing input for subsequent rule derivation and making the crushing strategy more refined and adaptable.

[0061] S1245, performing rule matching on each fragmentation stage according to the fuzzy inference rule base and the membership degree to obtain a fuzzy output result; The fuzzy inference rule base is a set of pre-defined rules used to derive a crushing strategy based on the fuzzy state of sample parameters. For example, a rule might be: "If the moisture content is high and the fiber density is medium, the initial crushing rate is high and the time is moderate." In this step, the system calls the preset fuzzy rule base based on the aforementioned membership results and performs fuzzy reasoning operations. The fuzzy rule base consists of a set of empirical or experimental rules, such as: If the fiber density is high and the particle size is required to be fine, a high rotation speed and long duration are set in the early stages. If the viscosity is high and the moisture content is moderate, reverse rotation is used in the middle stages to provide auxiliary agitation. Through condition matching and fuzzy synthesis, the system derives preliminary control recommendations for each stage, such as the rotation speed range, the approximate time range, and whether reverse rotation is required. These fuzzy outputs are not directly executed but serve as the basis for subsequent precise parameterization, giving the control system a certain degree of flexibility and learning ability when dealing with variable samples.

[0062] S1246. Determine the initial stage parameters corresponding to each crushing stage according to the fuzzy output result and the stage crushing load value.

[0063] Finally, based on the load value of each stage and the control suggestions output by fuzzy reasoning, the system quantifies these fuzzy information into executable parameters.

[0064] During this process, the fuzzy outputs need to be concretized and converted into executable values for rotational speed, rotational direction, and stage duration, while ensuring that these parameters meet the corresponding stage load requirements. For example, if fuzzy reasoning recommends a high rotational speed for the first stage, the corresponding specific speed and operating time are set based on the stage load values to ensure that both the sample characteristics and energy distribution requirements are met. This setting ensures that the crushing process is executed accurately and efficiently, effectively improving crushing quality and overall equipment performance.

[0065] Preferably, the adjusting of each stage parameter according to the rated parameters of the mobile crushing device to obtain the crushing control parameters includes: S131. Obtaining, based on the rated parameters, stage duration thresholds and maximum speed values of the mobile crushing device at different speeds; By reading the equipment's rated parameter table or preset database, you can determine the stage duration thresholds corresponding to different speeds, as well as the equipment's maximum allowable speed. This data provides a basic reference for adjusting the rotation speed and time settings for each crushing stage, helping to avoid the risk of equipment damage caused by overtime or overspeed during the crushing process.

[0066] S132, adjusting 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 revised.

[0067] If the speed set for a particular stage exceeds the equipment's maximum speed, it needs to be lowered to a safe range. If the operating time set for a stage exceeds the stage duration threshold at the corresponding speed, the stage duration needs to be shortened or broken down into multiple sub-stages. Through such adjustments, the parameter settings for each crushing stage can be ensured to meet the crushing requirements while remaining within the equipment's safe operating range, effectively extending the equipment's service life and improving the reliability and stability of the system.

[0068] S133. Determine an interval duration based on the viscosity and the water content, wherein the viscosity and the interval duration are positively correlated, and the water content and the interval duration are negatively correlated; The interval duration is the rest time between the crushing stages, which is used for the equipment to rest briefly, release heat or adjust the sample sedimentation.

[0069] In this step, the interval length is dynamically set based on the sample's characteristics. The greater the viscosity, the more likely the material will adhere or entangle during the crushing process, requiring a longer interval to allow the material to loosen naturally. Conversely, the higher the moisture content, the better the material's flowability, requiring a shorter interval. By dynamically determining the appropriate interval length based on the sample's viscosity and moisture content, this helps improve the continuity of the crushing process, reduce anomalies like stalling and blade sticking, and enhance overall crushing efficiency.

[0070] S134. Adjust the corresponding interval duration according to the adjusted rotation speed of each crushing stage; Rotational speed directly affects the crusher's heat buildup and load variations. Higher speeds increase the heat generated and mechanical impact during the crushing process, requiring longer intervals to dissipate heat and provide buffering. Lower speeds can reduce these intervals.

[0071] Therefore, based on the initially set interval length, further refinement is required based on the actual rotation speed adjusted for each crushing stage. This allows for a more precise match to the equipment's operating load, improves operational stability, and avoids shutdowns due to overheating or reduced crushing performance due to insufficient intervals.

[0072] S135. Calculating the duty ratio of the mobile crushing device according to the adjusted interval duration and stage duration; The duty ratio refers to the ratio of the actual working time of the equipment to the total working cycle time (including operating time and interval time), which reflects the operating load level of the equipment.

[0073] In this step, the duty ratio for the entire crushing process is calculated by adding the adjusted operating time of each crushing stage to the corresponding interval time. A high duty ratio indicates that the equipment is continuously working at high intensity, with insufficient heat dissipation and a risk of overheating. A moderate duty ratio indicates a healthy rhythm of crushing and rest, which helps maintain long-term stable operation.

[0074] S136. When the duty ratio exceeds the duty ratio threshold, obtaining an interval replenishment amount; The duty ratio threshold is a reasonable upper limit for load, set based on the equipment's thermal management performance and design specifications. For example, a crusher's safe duty ratio threshold is set at 70%, meaning it should ideally operate for no more than 70 seconds out of every 100 seconds.

[0075] When the actual calculated duty ratio exceeds the preset threshold, it indicates that the equipment is continuously overloaded and requires additional intervals to reduce operating intensity. In this case, the system calculates the required interval compensation based on the excess, providing a basis for subsequent adjustments to ensure that crushing operations continue within a safe range.

[0076] S137, adjusting the interval duration according to the interval time supplement amount; Based on the interval replenishment amount obtained in the previous step, the original interval durations between crushing stages can be appropriately increased. This adjustment can be made using a uniform distribution method, where the replenishment amount is evenly distributed between each stage. Alternatively, the interval duration after high-load stages can be prioritized for more precise heat regulation and equipment protection. By properly adjusting the interval duration, you can not only effectively reduce equipment load and extend continuous operation time, but also optimize the overall crushing rhythm, improving crushing efficiency and sample processing quality.

[0077] S138. Obtain the crushing control parameter according to the interval duration and the adjusted stage parameter.

[0078] Specifically, after adjusting all parameters, including rotation speed, stage duration, and interval duration, a final set of crushing control parameters is generated. These parameters guide the actual operation of the crusher at each stage, including control commands such as crushing start and stop, switching rotation direction, and adjusting speed, ensuring that the crushing operation achieves the optimal balance between sample adaptability, equipment protection, and energy efficiency. The resulting crushing control parameters ensure that the crusher maintains crushing efficiency while effectively extending equipment life, improving overall operational reliability and user experience.

[0079] Preferably, see Figure 6 , the adjusting the crushing control parameter according to the current power of the mobile power supply includes: S21. Obtaining estimated power consumption according to the crushing control parameter and the rated parameter; Estimated power consumption is the estimated amount of power required to complete the entire crushing task under the currently set crushing control parameters, typically expressed in Watt-hours (Wh) or milliampere-hours (mAh). Crushing control parameters include the rotation speed, stage duration, and interval time of each stage, while rated parameters include the equipment's rated power and motor efficiency. In this step, the system multiplies the estimated power consumption for each stage by the stage duration to calculate the total estimated energy consumption. This method allows for a pre-assessment of the power requirements of the current crushing plan, providing a basis for subsequent adjustments to the crushing strategy and avoiding interruptions caused by insufficient power during execution.

[0080] S22: when the difference between the current power consumption and the estimated power consumption is greater than a first threshold, not adjusting the crushing control parameter; The first threshold is set as a positive value, representing a safe power margin. If the difference between the current remaining power of the power bank and the estimated power consumption is greater than the first threshold, it indicates sufficient remaining power to successfully complete the crushing task within the specified crushing control parameters. In this case, the system executes the crushing process according to the initial settings without adjusting the crushing control parameters, ensuring optimal crushing results while avoiding unnecessary changes to the crushing process due to over-adjustment, thus improving operational simplicity and stability.

[0081] In another embodiment, the step S22 may be replaced by: S022. When the difference between the current power consumption and the estimated power consumption is greater than a first threshold, executing a quality priority mode, wherein the quality priority mode includes: S0221. Keep all preset crushing stages and do not merge or delete them; Specifically, all originally set crushing stages are executed, including coarse crushing, medium crushing, refinement, stabilization and other stages; this quality priority mode is aimed at scenarios where the current power consumption is significantly higher than the expected power consumption, that is, there is sufficient power redundancy. At this time, the main goal is no longer to optimize energy efficiency, but to prioritize the pursuit of particle size consistency, refinement and processing quality after sample crushing. For this reason, operations such as stage merging, deletion of non-critical stages, and time compression are not performed to avoid interference with crushing integrity; the purpose is to ensure the integrity of the stage-by-stage particle size progressive control chain and lay the foundation for high-quality sample processing.

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

[0083] S0223. Adjust the operation mode of the last crushing stage according to the delay ratio of the stage; If the motor load during the crushing process is detected to be persistently low or the load fluctuation exceeds a set threshold, the current stage run time is further extended. By monitoring parameters such as motor load and current curves during the crushing stage, it is determined whether the actual shearing is sufficient. If the load is persistently low (insufficient shearing) or the load fluctuates significantly (uneven tissue loosening), it indicates that the sample still needs further processing. In this case, the current stage run time is automatically extended as a real-time quality assurance strategy. This closed-loop compensation control improves adaptability and particle size consistency.

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

[0085] Some samples (such as sugary or sticky materials) are prone to particle size rebound or agglomeration after refinement due to tool residual heat or inertia. Therefore, a short, low-speed particle size stabilization stage is inserted between the penultimate stage and the final stage to stabilize the particle state, balance the crushing residual stress, and improve the consistency of the final particle size distribution. S23, when the difference between the current power consumption and the estimated power consumption is between a second threshold and a first threshold, linearly adjusting the crushing control parameter according to the difference; The second threshold is lower than the first, falling within a tight but acceptable range. In this case, to ensure the smooth completion of the crushing process and preserve as much power as possible, the system linearly adjusts the crushing control parameters based on the difference. Specifically, the system can appropriately reduce the rotation speed of each crushing stage, shorten the stage duration, or optimize the interval strategy in proportion to the difference, thereby reducing overall energy consumption. This adjustment is continuous and gradual, without causing sudden changes in crushing performance. This helps to maximize crushing quality and smooth equipment operation while limiting energy consumption.

[0086] S24. When the difference between the current power consumption and the estimated power consumption is between a third threshold and a second threshold, adjusting the number of crushing stages and / or the crushing control parameter according to the difference; The third threshold is a negative number, indicating that the battery is approaching a critically low state. When the difference between the remaining battery and the estimated consumption falls between the third and second thresholds, it indicates that the crushing task may not be completed without significant adjustments.

[0087] In this case, the system can not only further reduce the rotation speed or stage duration, but also directly reduce the number of crushing stages, for example, by combining multiple crushing stages into fewer coarse crushing stages to reduce overall energy consumption. If necessary, it can also prioritize critical crushing operations and abandon the final crushing that requires higher particle size or fineness, ensuring that the crushing task is completed as much as possible within the limited power consumption, balancing functionality and energy utilization efficiency.

[0088] S25. When the difference between the current power consumption and the estimated power 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 threshold and the second threshold are positive numbers, and the third threshold is negative. If the difference between the remaining power and the estimated consumption falls below the third threshold, it means that even with the extreme compression crushing task, the remaining 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.

[0089] Timely reminders can effectively avoid the risk of abnormal interruption of the crushing process due to power exhaustion, sample processing failure, or deep discharge damage to the equipment battery, while ensuring the reliability of the crushing equipment and the consistency of sample processing.

[0090] Preferably, when the difference between the current power consumption and the expected power consumption is between the second threshold and the first threshold, linearly adjusting the crushing control parameter according to the difference includes: S231, based on the current power level, the crushing control parameters, and the output characteristics of the mobile power supply, obtaining a decay curve prediction model of the remaining power over time; Specifically, the power decay curve prediction model describes how the remaining power of a power bank changes over time under specific load conditions. Due to differences in battery chemistry, internal resistance, and discharge profiles, the rate of power decay in different power banks is non-linear. Especially under large load fluctuations, the decay curve may exhibit an asymmetric shape.

[0091] In this step, the system combines the current power level, the set crushing control parameters (such as speed and load power), and the output characteristic curve of the mobile power supply to establish a real-time power decay prediction model. By accurately simulating the change in power over time, it provides 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. Obtaining a rate of decrease in the power of the mobile power supply in each stage of fragmentation according to the attenuation curve prediction model; The battery drain rate is the rate of change of the remaining battery charge per unit time, typically expressed in mAh / minute or % / minute. The actual drain rate varies in different crushing stages due to different rotation speeds and loads.

[0093] In this step, the decay curve prediction model described above is used to extract the power consumption decline rate for each stage of the breakdown process. This allows for a detailed understanding of each stage's contribution to overall power consumption, laying the foundation for developing targeted adjustment strategies and ensuring more accurate and efficient overall power utilization.

[0094] S233. Determine a rotation speed reduction ratio and a stage duration extension ratio for each crushing stage based on the power reduction rate and the difference; The rotation speed reduction ratio refers to the percentage by which each crushing stage needs to be reduced relative to the original set speed in order to reduce the energy consumption of a single stage; the stage duration extension ratio refers to the time ratio by which each crushing stage needs to be appropriately extended to compensate for the reduced crushing effect that may be caused by the speed reduction.

[0095] In this step, the appropriate ratio of speed reduction to time extension is determined based on the rate of power reduction during each crushing stage and the overall power differential. For example, during stages with a high power reduction rate, the rotational speed reduction ratio should be moderately increased; whereas, during stages with a low power reduction rate, high efficiency can be maintained. This strategy dynamically balances crushing efficiency and energy consumption, maximizing the use of limited power to achieve the desired crushing task.

[0096] S234: linearly adjust the crushing control parameter according to the rotation speed reduction ratio and the stage duration extension ratio.

[0097] After obtaining the rotation speed reduction ratio and stage duration extension ratio of each stage, the system linearly adjusts the original crushing control parameters, that is, uniformly adjusts the rotation speed and stage duration in proportion.

[0098] The adjusted crushing control parameters not only meet the current energy status of the mobile power supply, but also maintain crushing uniformity and processing results as much as possible. Through linear adjustment, a smooth transition without sudden changes can be achieved, avoiding crushing anomalies or equipment load fluctuations caused by drastic parameter adjustments, thereby ensuring the continuity of the crushing process and the consistency of sample processing.

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

[0100] S242. Obtaining the energy supply priority for each stage according to the granularity impact degree and the expected energy consumption; Energy supply priority is used to comprehensively assess the importance and energy cost-effectiveness of each crushing stage. Stages with greater particle size impact and lower expected energy consumption receive higher energy supply priority; conversely, stages with lower energy consumption receive lower priority. By integrating particle size contribution and energy consumption, the system assigns a specific energy supply priority score to each crushing stage. This score serves as an important basis for decisions on merging or adjusting subsequent stages, ensuring that the most valuable crushing stages are retained when power is limited, optimizing overall crushing task completion.

[0101] S243. Record the fragmented stages whose energy supply priority is less than the priority threshold as stages to be merged, and record the fragmented stages whose function priority is greater than or equal to the priority threshold as stages to be adjusted; The priority threshold is a pre-defined demarcation criterion used to distinguish the importance of each stage. In this step, based on the aforementioned energy supply priority, the system marks fragmentation stages with priorities below the threshold as pending merging stages, preparing for merging or simplification. Stages with priorities above or equal to the threshold are marked as pending adjustment stages, retaining their basic independence while fine-tuning parameters to accommodate energy constraints. This categorization ensures targeted adjustments and avoids significant degradation of overall fragmentation performance due to blind deletion.

[0102] S244: If the two stages to be merged are adjacent in time, merge them according to the stage parameters of the adjacent stages to be merged to obtain a merged stage and its corresponding stage parameters; If there are temporally adjacent stages in the pending stages, the system can merge them into a new crushing stage. The parameters of the merged stage are set based on the rotation speed, direction, and stage time of the original stages, such as taking a weighted average or maximum value to maintain the necessary crushing effect. By merging adjacent stages, the number of stages and overall energy consumption can be significantly reduced while maintaining the consistency of the overall crushing process, providing greater flexibility and safety for crushing operations in power-constrained environments.

[0103] S245: If a stage to be merged does not have a temporally adjacent stage to be merged, linearly adjust the stage parameters of the corresponding stage to be merged according to the difference and the function priority; For those stages that exist isolated on the timeline and cannot be merged, the system optimizes their parameters using linear adjustment based on the remaining power difference and the energy supply priority of the stage.

[0104] This typically involves moderately reducing rotational speed, shortening stage duration, or adjusting the crushing rhythm to reduce energy consumption in each stage to an acceptable level while preserving some crushing effect. This linear adjustment strategy allows for fine-grained control of energy consumption in isolated stages, avoiding the potential for crushing failures caused by drastic reductions.

[0105] S246. Obtain the second expected energy consumption of all stages to be merged according to the adjusted stage parameters of the stages to be merged; After completing the phase merging and parameter adjustments, the system recalculates the estimated energy consumption of all pending phases to be merged, generating an updated second expected energy consumption value. This process helps to monitor the adjusted energy distribution in real time, providing a quantitative basis for further subdivision and control of the pending phases, and ensuring that overall energy consumption meets the remaining power limit requirements.

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

[0107] Specifically, the high-speed crushing sub-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 sub-segment calculates the rotational speed after deceleration through a preset deceleration ratio (for example, 40%~60%), which is mainly used for short-term buffering, reducing instantaneous current, suppressing temperature rise, and promoting material turnover in certain high-viscosity samples.

[0108] This high-speed-low-speed approach maintains peak shearing performance while also reducing average power consumption and discharge rate within each stage by inserting buffered load segments. This approach is particularly well-suited for energy management scenarios where the current power level is between the second and third thresholds. This pulse strategy enables the device to rhythmically output crushing loads under limited energy conditions, extending operating time while maintaining particle size control, preventing sudden power drops, and enhancing device stability.

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

[0110] On the basis of completing the sub-segment beat division, the specific execution parameters of the adjustment stage are redefined and issued to make it have actual operation capability and controllability. Specifically, the high-speed crushing sub-segment maintains the original set value unchanged to ensure the output of the main shear load. The low-speed crushing sub-segment is calculated according to the preset speed reduction ratio (such as 50%, 60%) and verified to be above the rated minimum speed of the equipment to ensure stable operation. The duration of each sub-segment is determined based on the remaining power prediction model and the average power consumption characteristics of the sub-segment; for example, when the discharge rate drops rapidly, the system will shorten the high-speed segment and extend the low-speed segment to achieve smooth energy consumption. After each stage adjustment, the expected total crushing load is recalculated and compared with the target load of that stage; if there is a deviation, the system will make fine adjustments in the subsequent stages to ensure that the completion rate of the entire crushing task is close to the established 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 the control parameters and the physical properties of the sample and the carrying capacity of the equipment, providing a flexible, controllable and energy-efficient regulation method for crushing tasks under complex power conditions.

[0112] Preferably, see Figure 7 During the crushing process, the crushing control parameters are adjusted according to the real-time state parameters of the mobile crushing device and the real-time power of the mobile power supply, including: S41, obtaining real-time status parameters of the mobile crushing device, wherein the real-time status parameters include real-time motor speed, cutter shaft load, and running time of the current crushing stage; Real-time status parameters are indicators collected dynamically during the crushing process that reflect the equipment's current operating status. Real-time motor speed monitors the equipment's actual operating speed during the crushing task; cutter shaft load reflects the mechanical load on the cutter while crushing the material; and the current crushing stage run time monitors the progress of each stage.

[0113] In this step, the control system uses internal sensor modules to collect these status parameters in real time. This data reflects the crusher's actual workload, execution accuracy, and energy consumption, providing basic information for subsequent judgment of whether the crushing status meets the preset plan, and helps achieve intelligent and dynamic management of the crushing process.

[0114] S42. Acquire a state deviation value according to the real-time state parameter and the stage parameter of the current crushing stage, wherein the state deviation includes the rotation speed deviation, the duration deviation, and the power consumption deviation; The state deviation value measures the degree of difference between the actual operating status and the preset stage parameters. The speed deviation indicates the difference between the actual motor speed and the preset rotation speed; the duration deviation reflects the difference between the running time of the current crushing stage and the planned time; and the power consumption deviation is the difference between the current power consumption rate and the expected energy consumption level.

[0115] In this step, the system compares the real-time state parameters with the target parameters for the current stage and calculates various deviation indicators. This process helps to dynamically identify anomalies or changes in the crushing process, such as increased load or decreased 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 state deviation value obtained above, the system optimizes and adjusts the stage parameters of the next crushing stage to be entered.

[0118] If the actual speed is detected to be lower than the preset value and the load is increasing, the target speed for the next stage may need to be appropriately lowered, extending the stage duration to ensure uniform crushing. If power consumption is rapid, the power output can be reduced or the interval settings optimized to avoid interruptions due to power depletion. By specifically adjusting the rotation speed, run time, and control strategy for the next stage, it 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 also extending the equipment's operating life and improving overall energy efficiency.

[0119] Example 2 An embodiment of the present invention also provides a real-time sampling 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 supply energy to the mobile crushing device, the mobile crushing device includes a controller, a user input interface, a crushing barrel and a crushing assembly, the user input interface accepts manual input from the user, the crushing assembly includes a motor, a rotating shaft and a crushing knife, the rotating shaft is driven to rotate by the output shaft of the motor, the crushing knife is arranged on the rotating shaft, and the crushing knife is located at the bottom of the crushing barrel, and the controller is used to control the output shaft to drive the rotating shaft to drive the crushing knife to rotate according to the real-time sampling crushing method of the intelligent portable fruit and vegetable crusher described in Example 1 to crush the fruit and vegetable samples located in the crushing barrel.

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

[0121] The mobile crushing unit houses a controller, user input interface, crushing barrel, 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 dynamic adjustment instructions for the sample crushing method. The user input interface receives manual user input. Users can select sample type, target particle size, and start or stop operations using a touchscreen, physical buttons, or a rotary knob. The interface is simple and intuitive, making it easy for different users to quickly get started.

[0122] The crushing barrel is the working chamber that holds fruit and vegetable samples. It is typically made of food-grade, high-strength materials that are corrosion-resistant and easy to clean. It also features internal splash guards or flow-guiding structures to optimize material flow during the crushing process. The crushing assembly consists of a motor, a rotating shaft, and crushing blades. The motor is the power source and typically uses a high-speed DC motor or a brushless motor. The rotating shaft is connected to the motor's output shaft and rotates via the motor's output torque. The crushing blades are fixed to the rotating shaft and located at the bottom of the crushing barrel. Driven by the rotating shaft, they rotate at high speed, efficiently shearing and crushing the fruit and vegetable samples within the crushing barrel.

[0123] During system operation, the controller, based on the sample type and target parameters entered by the user and the real-time charge status of the mobile power bank, invokes the method steps described in Example 1 to dynamically acquire crushing control parameters. It then controls the speed and direction of the motor output shaft according to the settings, thereby driving the rotating shaft and crushing blades to perform the crushing operation. During the crushing process, the controller also monitors the operating parameters of the crushing device (such as motor speed, load current, and operating time) as well as the remaining charge of the mobile power bank in real time. Based on these monitoring results, the crushing strategy is dynamically adjusted to accommodate changes in the sample and charge level, ensuring uniform crushing and stable system operation.

[0124] Through the above configuration, the intelligent portable fruit and vegetable crusher real-time sample crushing system provided by the present invention can intelligently adjust the crushing parameters based on sample characteristics and power status under the condition of mobile power supply, realize 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 understood that the present invention is not limited to the specific configurations and processes described above and illustrated in the figures. For the sake of brevity, a detailed description of known methods is omitted. In the above embodiments, several specific steps are described and illustrated as examples. However, the method of the present invention is not limited to the specific steps described and illustrated. Those skilled in the art may make various changes, modifications, and additions, or change the order of the steps after understanding the spirit of the present invention.

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

[0127] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0128] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0130] It should also be noted that the exemplary embodiments described herein describe methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the steps described above. In other words, the steps may be performed in the order described in the embodiments, or in a different order, or several steps may be performed simultaneously.

[0131] The above description is only a specific embodiment of the present invention. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention.

Claims

1. A real-time sample crushing method for 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, wherein the mobile power supply is electrically connected to the mobile crushing device and is used to supply energy to the mobile crushing device. The method includes: Obtaining crushing control parameters according to sample parameters of the fruit and vegetable samples to be crushed; Adjusting the crushing control parameters according to the current power level of the mobile power supply; Controlling the mobile crushing device 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 state parameters of the mobile crushing device and the real-time power level of the mobile power supply.

2. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 1 is characterized in that: The method of obtaining crushing control parameters according to the sample parameters of the fruit and vegetable sample to be crushed includes: Obtain sample parameters and sample weight according to the sample type input by the user, wherein the sample parameters include: moisture content, fiber density, target particle size and viscosity; Obtaining a plurality of crushing stages and corresponding stage parameters according to the sample parameters and the sample weight, wherein the stage parameters include a rotation direction, a rotation speed, and a stage time; According to the rated parameters of the mobile crushing device, each stage parameter is adjusted to obtain the crushing control parameters.

3. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 2 is characterized in that: The method of obtaining a plurality of crushing stages and corresponding stage parameters according to the sample parameters and the sample weight includes: Obtaining a crushing strength coefficient according to the sample parameters, wherein the crushing strength coefficient is exponentially related to each of the sample parameters; Obtaining an initial crushing load value according to the sample weight; Obtaining a target crushing load value required to crush the fruit and vegetable sample according to the crushing strength coefficient and the initial crushing load value; According to the target crushing load value and the preset fuzzy inference mapping rule, each crushing stage and the corresponding initial stage parameters are obtained; Obtaining an actual crushing load value at each crushing stage according to the rotation speed and rotation time of the initial stage parameters; According to the deviation between the actual crushing load value and the target crushing load value, the stage time of the corresponding crushing stage is adjusted.

4. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 3 is characterized in that: The method further comprises obtaining parameters of each crushing stage and a corresponding initial stage according to the target crushing load value and a preset fuzzy inference mapping rule; determining the number of crushing stages according to the target crushing load value; Determine the load distribution ratio between the crushing stages based on the target particle size, viscosity and fiber density; Determine the crushing load value of each crushing stage according to the number of crushing stages and the load distribution ratio; Determine the degree of membership of each sample parameter according to the preset fuzzy membership function; According to the fuzzy reasoning rule base and the membership degree, the rules of each fragmentation stage are matched to obtain the fuzzy output result; The initial stage parameters corresponding to each crushing stage are determined according to the fuzzy output result and the stage crushing load value.

5. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 3 is 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: According to the rated parameters, obtaining stage duration thresholds and maximum speed values of the mobile crushing device at different speeds; adjusting the rotation speed and / or stage duration of each of the stage parameters according to the stage duration threshold and the maximum rotation speed value; Determining an interval duration according to the viscosity and the water content, wherein the viscosity and the interval duration are positively correlated, and the water content and the interval duration are negatively correlated; Adjust the corresponding interval length according to the adjusted rotation speed of each crushing stage; Calculating the duty ratio of the mobile crushing device according to the adjusted interval duration and stage duration; When the duty ratio exceeds a duty ratio threshold, obtaining an interval replenishment amount; Adjusting the interval duration according to the interval time replenishment amount; The crushing control parameter is obtained according to the interval duration and the adjusted stage parameter.

6. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to any one of claims 2 to 5, characterized in that: The adjusting of the crushing control parameters according to the current power of the mobile power supply includes: Obtaining estimated power consumption according to the crushing control parameter and the rated parameter; When the difference between the current power consumption and the estimated power consumption is greater than a first threshold, the crushing control parameter is not adjusted; When the difference between the current power consumption and the estimated power consumption is between the second threshold and the first threshold, linearly adjusting the crushing control parameter according to the difference; When the difference between the current power consumption and the estimated power consumption is between a third threshold and a second threshold, adjusting the number of crushing stages and / or the crushing control parameter according to the difference; When the difference between the current power consumption and the expected power 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 threshold and the second threshold are positive numbers, and the third threshold is a negative number.

7. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 6, characterized in that: When the difference between the current power consumption and the expected power consumption is between the second threshold and the first threshold, linearly adjusting the crushing control parameter according to the difference includes: Based on the current power level, crushing control parameters and the output characteristics of the mobile power supply, a decay curve prediction model of the remaining power over time is obtained; According to the attenuation curve prediction model, obtaining the power reduction rate of the mobile power supply in each fragmentation stage; Determining a ratio of decrease in rotation speed and a ratio of extension of stage duration in each crushing stage according to the power decrease rate and the difference; The crushing control parameter is linearly adjusted according to the rotation speed reduction ratio and the stage duration extension ratio.

8. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 6, characterized in that: When the difference between the current power consumption and the expected power consumption is between a third threshold and a second threshold, adjusting the number of crushing stages and / or the crushing control parameter according to the difference includes: According to the stage parameters, the particle size influence degree and the first expected energy consumption of each crushing stage are obtained; Obtaining the energy supply priority for each stage according to the granularity impact degree and the expected energy consumption; The fragmented stages with energy supply priority less than the priority threshold are recorded as stages to be merged, and the fragmented stages with function 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 to obtain the merged stage and its corresponding stage parameters; If a stage to be merged does not have a temporally adjacent stage to be merged, linearly adjusting the stage parameters of the corresponding stage to be merged according to the difference and the function priority; Obtaining the second expected energy consumption of all stages to be merged according to the adjusted stage parameters of the stages to be merged; Dividing each stage to be adjusted into a plurality of alternating high-speed crushing sub-segments and low-speed crushing sub-segments based on the second expected energy consumption and the stage parameters of the stage to be adjusted, wherein the rotation speed of the high-speed crushing sub-segment is equal to the rotation speed of the corresponding stage to be adjusted, and the rotation speed of the low-speed crushing sub-segment is determined based on the rotation speed of the stage to be adjusted and a preset speed reduction ratio; According to the rotation speeds of the high-speed crushing sub-segment and the low-speed crushing sub-segment, the stage parameters of the corresponding stage to be adjusted are adjusted.

9. The real-time sample crushing method of the intelligent portable fruit and vegetable crusher according to claim 6, characterized in that: During the crushing process, the crushing control parameters are adjusted according to the real-time state parameters of the mobile crushing device and the real-time power of the mobile power supply, including: Acquiring real-time status parameters of the mobile crushing device, wherein the real-time status parameters include the real-time speed of the motor, the load of the cutter shaft, and the running time of the current crushing stage; According to the real-time state parameters and the stage parameters of the current crushing stage, a state deviation value is obtained, wherein the rotation speed deviation, the duration deviation and the power consumption deviation; According to the state deviation value, the stage parameters of the next crushing stage are adjusted.

10. 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 is electrically connected to the mobile crushing device for supplying energy to the mobile crushing device, the mobile crushing device includes a controller, a user input interface, a crushing barrel and a crushing assembly, the user input interface accepts manual input from the user, the crushing assembly includes a motor, a rotating shaft and a crushing knife, the rotating shaft is driven to rotate by the output shaft of the motor, the crushing knife is arranged on the rotating shaft, and the crushing knife is located at the bottom of the crushing barrel, the controller is used to control the output shaft to drive the rotating shaft to drive the crushing knife to rotate 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 1-9.

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