Dynamic monitoring method for running load of grass fiber pulverizer

Abstract

The invention relates to the technical field of operation load monitoring, in particular to a grass fiber pulverizer operation load dynamic monitoring method. The method comprises the following steps: acquiring voltage and current output by a motor of a crusher, actual rotating speed, temperature and material conveying speed during crushing to obtain a load degree sequence; first-order difference is carried out on the load degree sequence, and if the difference value at the current moment is in a continuous interval with the difference value larger than zero, the continuous interval is marked as a target interval; obtaining a load degree change characteristic value of the target interval according to the target interval; acquiring a load abnormal factor at the current moment; the material conveying speed at the current moment and the input power of a motor at the current moment are adjusted according to the load abnormal factors; and after the material conveying speed at the current moment and the input power of the motor are adjusted, monitoring the abnormality of the pulverizer according to the load degree change characteristic value within the preset time duration after the current moment. According to the invention, the operation load of the grass fiber pulverizer can be accurately monitored.

Description

Technical Field

[0001] This invention relates to the field of operating load monitoring technology, and specifically to a method for dynamic monitoring of the operating load of a grass fiber shredder. Background Technology

[0002] A grass fiber shredder is a mechanical device specifically designed for cutting and shredding herbaceous plants such as straw, hay, and reeds. It is widely used in feed processing, organic fertilizer production, and biomass energy. Internally, high-speed rotating blades or hammers break raw materials into fine particles or fibrous materials. However, in actual operation, if the shredder is continuously overloaded, it can easily lead to material blockage, wear, and even damage, affecting production efficiency and equipment lifespan. Therefore, to achieve safe, stable operation and intelligent management of the grass fiber shredder, it is necessary to dynamically monitor its operating load. By collecting and analyzing load data in real time, abnormal operating conditions, such as overload or stalling, can be effectively identified, and process parameters such as the feed rate can be adjusted in a timely manner. This optimizes shredding efficiency, extends equipment lifespan, reduces maintenance costs, and improves the continuity and reliability of the overall production process.

[0003] Currently, most crushers monitor load status based on motor current, voltage, or power, which only roughly reflects the overall operating status and cannot accurately identify specific load changes. In practical applications, such as when crushing materials like straw, the automatic adjustment and monitoring mechanisms of the equipment are limited in the early stages of localized blockage or slight obstruction. Warnings and protection mechanisms are only triggered when the equipment is severely overloaded, potentially causing equipment damage and production interruptions. Therefore, existing crushers still suffer from insufficient accuracy and intelligence in monitoring potential faults and in the feedback control and adjustment of crusher parameters during material crushing, necessitating improvements through more precise and efficient dynamic monitoring methods. Summary of the Invention

[0004] To address the aforementioned technical problems, the present invention aims to provide a method for dynamic monitoring of the operating load of a grass fiber shredder, the specific technical solution of which is as follows: One embodiment of the present invention provides a method for dynamic monitoring of the operating load of a grass fiber shredder, the method comprising: The output voltage, output current, actual speed, temperature, and material conveying speed of the pulverizer motor are collected during the pulverizing process; the load level sequence is obtained based on the output voltage, output current, and actual speed of the pulverizer motor. The load level sequence is first-order differencing to obtain the difference value at each time step; if the difference value at the current time step is within a continuous interval where the difference value is greater than zero, this continuous interval is recorded as the target interval; the load level change characteristic value of the target interval is obtained based on the target interval. The load anomaly factor at the current moment is obtained based on the load level change characteristics of each target interval in history and the target interval at the current moment; If the load anomaly factor meets the first set condition, the material conveying speed at the current moment is adjusted according to the load anomaly factor; if the motor temperature at the current moment meets the temperature set condition, the input power of the motor at the current moment is adjusted. After adjusting the current material conveying speed and motor input power, the abnormality of the crusher is monitored based on the load change characteristic value within a preset time period after the current moment.

[0005] Preferably, the load level sequence is obtained based on the output voltage, output current, and actual rotational speed of the pulverizer motor, including: The theoretical speed of the motor at a given moment is obtained based on its output voltage and current. The load level value at that moment is obtained by comparing the theoretical speed with the actual speed. The load level values ​​at all moments are then combined to form a load level sequence.

[0006] Preferably, if the difference value at the current moment is within a continuous interval where the difference value is greater than zero, this continuous interval is denoted as the target interval, including: If the difference between the current time and the previous consecutive time is greater than zero, then the current time and the difference between the current time and the previous consecutive time form a continuous interval with a difference greater than zero, and this continuous interval is the target interval for the current time. If the difference between the current time and the previous time is less than or equal to zero, and the difference between the current time and the previous time is greater than zero, then the difference between the current time and the previous time is the target interval for the current time.

[0007] Preferably, obtaining the load level change characteristic value of the target interval based on the target interval includes: The first change feature is obtained by averaging and normalizing the average of all difference values ​​within the target interval; the normalized value of the order of a difference value within the target interval is obtained as the weight of that difference value; the second change feature is obtained by weighting and normalizing all difference values ​​using the weight of each difference value within the target interval; the first change feature and the second change feature are weighted and summed to obtain the load change feature value of the target interval.

[0008] Preferably, the load anomaly factor for the current moment is obtained based on the load level change characteristic values ​​of historical target intervals and the target interval at the current moment, including: The characteristic value of the load level change in the target interval at the current moment is compared with the characteristic value of the load level change in a historical target interval to obtain the characteristic ratio corresponding to that historical target interval. The absolute value of the difference between the total amount of material input in a historical target interval and the total amount of material input in the target interval at the current moment is negatively correlated using an exponential function with the natural constant as the base to obtain the weight corresponding to that historical target interval. The weighted average of the characteristic ratios corresponding to each historical target interval is calculated using the weights corresponding to each historical target interval to obtain the load anomaly factor at the current moment.

[0009] Preferably, if the load anomaly factor meets the first preset condition, the material conveying speed at the current moment is adjusted according to the load anomaly factor, including: If the load anomaly factor at the current moment is greater than the possible judgment threshold, then the load anomaly factor satisfies the first set condition; obtain the normalized value of the product of the mapping coefficient of the material conveying speed adjustment and the load anomaly factor at the current moment, and record it as the adjustment factor; obtain the difference between the preset value and the adjustment factor, and record it as the adjustment ratio coefficient; the product of the material conveying speed at the current moment and the adjustment ratio coefficient is the adjusted material conveying speed.

[0010] Preferably, if the current temperature of the motor meets the set temperature conditions, the input power of the motor at the current moment is adjusted, including: The ratio of the current temperature to the motor thermal protection temperature is obtained and recorded as the temperature judgment factor; if the temperature judgment factor is less than the judgment threshold, the temperature setting condition is met. A negative correlation mapping is performed on the temperature judgment factor using an exponential function with the natural constant as the base, to obtain the mapping value; the first adjustment ratio coefficient is obtained by multiplying the second mapping coefficient, the current load anomaly factor, and the mapping value; the difference between the maximum input power of the motor and the current input power of the motor is obtained and multiplied by the first adjustment ratio coefficient to obtain the adjustment range; the sum of the current input power of the motor and the adjustment range is obtained and recorded as the pre-adjusted input power; the minimum value between the pre-adjusted input power and the maximum input power of the motor is taken as the adjusted input power of the motor.

[0011] Preferably, the abnormality of the crusher is monitored based on the characteristic value of the load change within a preset time period after the current moment, including: The load level change characteristic value within a preset time period after the current time is compared with the load level change characteristic value of the target interval at the current time to obtain the anomaly judgment index; if the anomaly judgment index is greater than the anomaly judgment threshold, it indicates that an anomaly has occurred.

[0012] The embodiments of the present invention have at least the following beneficial effects: This application collects the output voltage, output current, actual speed, temperature, and material conveying speed of the pulverizer motor during pulverization. Then, based on the output voltage, output current, and actual speed of the pulverizer motor, a load degree sequence is obtained. Next, a first-order difference is performed on the load degree sequence to determine whether the current moment is within the target interval (a continuous interval with a difference value greater than zero). Then, the changes in load degree within the target interval are analyzed to obtain the characteristic value of load degree change in the target interval. Then, combined with the characteristic values ​​of load degree change in each target interval in history, the load anomaly factor at the current moment is obtained. Combining historical data improves the accuracy of anomaly analysis at the current moment. Furthermore, based on the load anomaly factor and temperature, when the adjustment conditions are met, the material conveying speed and motor input power of the pulverizer at the current moment are adjusted. Then, by monitoring the characteristic value of load degree change after adjustment, further analysis is performed to monitor pulverizer anomalies, thereby determining whether the pulverizer should continue to operate for control or early warning. This reduces the potential failure risk of the pulverizer while improving its stability during operation and the accuracy of anomaly monitoring, thus improving the service life and operating efficiency of the equipment. Attached Figure Description

[0013] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 A flowchart illustrating a method for dynamic monitoring of the operating load of a grass fiber shredder, provided in an embodiment of the present invention. Detailed Implementation

[0015] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a method for dynamic monitoring of the operating load of a grass fiber shredder according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0016] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0017] The following description, in conjunction with the accompanying drawings, details the specific scheme of the dynamic monitoring method for the operating load of a grass fiber shredder provided by the present invention.

[0018] In this embodiment, the main application scenario of the present invention is: by dynamically monitoring the operating load of the grass fiber crusher, the working status of the crusher can be perceived and intelligently controlled in real time, thereby ensuring stable operation of the equipment, optimizing crushing efficiency and extending service life.

[0019] Please see Figure 1 The diagram illustrates a method flowchart for dynamic monitoring of the operating load of a grass fiber shredder according to an embodiment of the present invention. The method includes the following steps: Step S1: Collect the output voltage, output current, actual speed, temperature and material conveying speed of the motor of the crusher during crushing; obtain the load level sequence based on the output voltage, output current and actual speed of the motor of the crusher.

[0020] This application primarily focuses on monitoring and adjusting relevant parameters (operating load) of a grass fiber shredder during the material shredding process. This requires the deployment of sensors to collect data on the shredder's motor output voltage, output current, actual rotational speed, and temperature during shredding. Simultaneously, the material feeding speed during shredding also needs to be monitored. The sampling frequency can be determined by the implementer based on the actual situation.

[0021] During operation, even if the motor's input power remains constant, a sudden increase in the amount of material fed into the crushing chamber or a localized blockage can rapidly increase the crushing resistance, leading to a rise in motor load. To overcome this increased resistance, the motor automatically reduces its speed to increase slip, thereby obtaining greater output torque to maintain operation, which may manifest as a short-term drop in speed. As the crusher continues to run, some material is successfully crushed and discharged, internal blockages are relieved, crushing resistance decreases, motor load gradually decreases, and the speed recovers and stabilizes. This process demonstrates the dynamic relationship between load changes and motor speed during crusher operation, reflecting the coupling characteristics between mechanical load and motor response, and is a crucial foundation for achieving dynamic monitoring and intelligent adjustment.

[0022] However, when crushing different materials, the load variation pattern of the crusher may differ due to the different material properties.

[0023] Therefore, in order to perform real-time dynamic monitoring and control of the load on the current crusher during the material crushing process, and thus promptly detect potential anomalies, it is necessary to analyze the load changes of the crusher during crushing. This involves obtaining a load intensity sequence based on the output voltage, output current, and actual rotational speed of the crusher's motor.

[0024] Specifically, the theoretical speed of the motor at a given moment is obtained based on the motor's output voltage and current. The load level value at that moment is obtained by comparing the theoretical speed with the actual speed. The load level values ​​at all moments are then combined to form a load level sequence.

[0025] The method for obtaining the theoretical rotational speed is existing technology and will not be elaborated upon here. Meanwhile, the calculation model for the load level value at a given moment is as follows: , in, This represents the load level experienced by the crusher motor at time i. This represents the theoretical rotational speed of the motor of the crusher at the output voltage and output current at time i. This represents the actual rotational speed of the pulverizer motor at time i, which is also the actual rotational speed at time i.

[0026] This represents the ratio between the theoretical speed of the crusher motor at time i, based on the voltage and current output at that time, and the actual speed monitored. The larger this value, the greater the load on the crusher motor at that time.

[0027] Through the above, the load level value of the crusher at any time during the crushing process can be obtained. Then, through continuous monitoring, the load level sequence of the crusher during the crushing process can be obtained based on the continuous sampling time.

[0028] Step S2: Perform first-order difference on the load level sequence to obtain the difference value at each time step; if the difference value at the current time step is within a continuous interval where the difference value is greater than zero, record this continuous interval as the target interval; obtain the load level change characteristic value of the target interval based on the target interval.

[0029] After obtaining the load level sequence, it is necessary to use a Gaussian filtering algorithm to smooth the load level sequence collected by the current crusher, so as to facilitate subsequent analysis of the load level sequence variation characteristics under different time periods.

[0030] Furthermore, the load level sequence up to the current time is subjected to first-order difference to obtain the difference value at each time point, which is then used to form a difference sequence. Further, the difference sequence needs to be divided into continuous intervals of greater than 0, less than 0, and equal to 0. Different intervals may represent different meanings.

[0031] For a continuous interval with a difference value greater than 0, it indicates that the current load is increasing compared to the previous moment, which may correspond to the stage where materials are being continuously fed in, the crushing resistance is increasing, or local blockage is beginning to form.

[0032] A continuous interval with a difference value less than 0 indicates a decreasing trend in load, which often reflects that the material is discharged smoothly after crushing, or that the blade is temporarily in a low-resistance state.

[0033] A continuous interval where the difference value is 0 indicates that the load remains relatively stable, the crushing process is relatively smooth, and the material input and output reach a temporary equilibrium.

[0034] It's important to note that, taking a continuous interval with a difference greater than 0 as an example, if the difference at the current moment is greater than zero, and the difference at the next moment is also greater than zero, then when the next moment arrives, the difference between the next moment and the current moment forms a continuous interval with a difference greater than zero for the next moment. If the difference at the next moment is less than or equal to 0, and the differences at adjacent moments before the current moment are also less than or equal to 0, then only the difference at the current moment is a continuous interval with a difference greater than zero. Because it's real-time monitoring, when the difference at the current moment is greater than zero, as time progresses, the current moment will become a future moment. At this point, the difference greater than 0 will form a continuous interval with a difference greater than zero with the previous consecutive differences greater than 0, which will be the latest continuous interval with a difference greater than zero corresponding to the current moment. Similarly, the other two types of intervals follow the same principle.

[0035] If the difference value at the current moment falls within a continuous interval where the difference value is greater than zero, this continuous interval is designated as the target interval. Specifically, if the difference value of the consecutive moments preceding the current moment is greater than zero, then the current moment and the difference values ​​of the consecutive moments preceding the current moment form a continuous interval where the difference value is greater than zero, and this continuous region is the target interval for the current moment; if the difference value of the moment preceding the current moment is less than or equal to zero, and the difference value of the current moment is greater than zero, then the difference value of the current moment itself is the target interval for the current moment.

[0036] Since the continuous intervals with a difference value greater than 0 are the critical stages for the continuous increase of the crusher load, they are very likely to indicate potential material blockage or overload risks. Therefore, they need to be monitored closely and dynamically adjusted in conjunction with real-time strategies.

[0037] If the current moment falls within a continuous interval where the difference value is greater than 0, then this interval is called the target interval and further monitoring and analysis are performed. Otherwise, the current moment is skipped because the probability of the crusher exhibiting anomalies in continuous intervals where the difference value is less than 0 or continuous intervals where the difference value is equal to 0 is almost zero.

[0038] Next, the difference values ​​within the target interval need to be analyzed to obtain the characteristic value of the load level change in the target interval. Specifically, the average value of all difference values ​​within the target interval is calculated and normalized to obtain the first change characteristic; the normalized value of the order of a difference value within the target interval is obtained as the weight of that difference value; all difference values ​​are weighted and normalized using the weight of each difference value within the target interval to obtain the second change characteristic; the first change characteristic and the second change characteristic are weighted and summed to obtain the characteristic value of the load level change in the target interval.

[0039] The specific calculation model for the characteristic value of load level change is as follows: , Where Z represents the characteristic value of load change in the target interval, β represents the weight adjustment factor, which is set to 0.45 here (reference value, because different parts have different meanings, so the degree of abnormal information contained in the monitoring and analysis is different, therefore different weights need to be assigned to them); norm represents the normalization function, and m represents the number of difference values ​​in the target interval; This represents the s-th difference value within the target interval; The normalized value represents the order of the s-th difference value within the target interval, which is also the weight of the s-th difference value. For example, the second difference value has an order of 2, and the s-th difference value has an order of s. The larger this value is, the closer it is to the latest time (the current time), and the greater the weight of the corresponding difference value in the latest time monitoring and analysis. The first characteristic of change is the normalized value of the mean of all difference values ​​within the target interval, which represents the overall degree of change of the load level sequence within the target interval. The larger this value is, the greater the overall change in the load level within the current interval. The second characteristic of change is the weighted average of the difference values ​​within the target interval. The weight of this value is related to time, indicating the degree to which the load level value changes over time during the change process within this interval. The larger the value, the greater the degree to which the load sequence value changes over time within this interval. Because this value can reflect the relationship between the load and time during the increase process, it is usually given a higher weight to facilitate the subsequent highlighting of abnormal loads and thus more accurate monitoring.

[0040] Step S3: Obtain the load anomaly factor at the current moment based on the load change characteristic values ​​of each target interval in history and the target interval at the current moment.

[0041] In step S2, the load change characteristic value of the target interval is obtained. Since the same material is crushed, its physical properties are similar, and the load change sequence in the target interval usually has a certain regularity. Therefore, it is necessary to analyze the load change characteristic value of the target interval in combination with the load change characteristic value of the target interval at the current moment.

[0042] Therefore, the load anomaly factor for the current moment is obtained based on the load change characteristic values ​​of each target interval in history and the target interval at the current moment. Specifically, the load change characteristic value of the target interval at the current moment is compared with the load change characteristic value of a target interval in history to obtain the characteristic ratio corresponding to that target interval in history; the absolute value of the difference between the total amount of material input in a target interval in history and the total amount of material input in the target interval at the current moment is negatively correlated using an exponential function with the natural constant as the base to obtain the weight corresponding to that target interval in history; and the weighted average of the characteristic ratios corresponding to each target interval in history is calculated using the weights corresponding to each target interval in history to obtain the load anomaly factor for the current moment.

[0043] The specific calculation model for the load anomaly factor is as follows: ,

[0044] in, This represents the load anomaly factor at the current time n, where e represents the natural constant. This represents the characteristic value of the load level change in the target interval at the current moment. This represents the characteristic value of the load change in the h-th target interval in history. It should be noted that the target interval in history has the same time length as the target interval at the current moment, and the type of grass fiber crushed is the same. This represents the total amount of pulverized material fed into the h-th target interval in history, which is also the total amount of material fed into the target interval. This represents the total amount of material fed into the target interval at the current moment. When comparing the historical target interval with the target interval at the current moment, the closer the total amount of material fed, the better. The smaller the value, The larger the value, the more similar the amount of material input in the two time periods, and the more similar the load change pattern and mode of the crusher during operation. The greater the reference weight when comparing and analyzing the historical intervals.

[0045] This represents the characteristic ratio corresponding to the h-th target interval in history. The larger this value, the more abnormal the current load level change may be. This represents the weight corresponding to the h-th target interval in history. The closer the total amount of materials delivered in the target interval at the current moment is to the total amount delivered in a previous target interval, the greater the weight. This represents the weighted average of the ratios of the characteristic values ​​of load change in the target interval at the current moment to the characteristic values ​​of load change in the target interval in history. The larger this value is, the greater the possibility of an anomaly at the current moment.

[0046] Step S4: If the load anomaly factor meets the first set condition, adjust the material conveying speed at the current moment according to the load anomaly factor; if the motor temperature at the current moment meets the temperature set condition, adjust the input power of the motor at the current moment.

[0047] Step S3 obtains the load anomaly factor at the current moment, which allows us to determine whether an anomaly is likely to exist at that moment. A threshold for potential detection is then set. If the load anomaly factor at the current moment is greater than the possible judgment threshold, then the load anomaly factor meets the first set condition, and an anomaly may exist at this time.

[0048] The ternary expression for the judgment is as follows: , in, This represents the output value of a ternary expression used to determine whether an anomaly might exist at the current moment. When the output result is True, the load anomaly factor meets the first set condition, which means that the current load may be abnormal. However, the load anomaly at this time may be caused by the material being crushed being conveyed too fast, which leads to an increase in load. Therefore, reducing the material conveying speed or increasing the input power of the crusher motor under permissible conditions can crush the current material and reduce the phenomenon of increased load caused by untimely material crushing.

[0049] Therefore, when the first preset condition is met, potential faults can be automatically resolved by adaptively adjusting the material conveying speed or the input power of the crusher motor. If the output is False, it means there is no anomaly, and you can continue monitoring. The value is 1.2 (reference value, the specific value should be adjusted according to the specific equipment).

[0050] Furthermore, when the first preset condition is met, it indicates that the increased material flow may lead to an increased load on the crusher. In this case, the current crusher conveying speed needs to be reduced to slow down the material transport and lower the crusher load, thereby addressing any potential problems. The conveying speed at the current moment is adjusted based on the load anomaly factor. Specifically, the normalized value of the product of the conveying speed adjustment mapping coefficient and the current load anomaly factor is obtained and denoted as the adjustment factor; the difference between the preset value and the adjustment factor is obtained and denoted as the adjustment proportional coefficient; the product of the current conveying speed and the adjustment proportional coefficient is the adjusted conveying speed.

[0051] The specific calculation model for the adjusted conveying speed is as follows: , in, This represents the adjusted feed rate value at the current moment. This indicates the current material feeding speed; the default value is 1. This represents the mapping coefficient for adjusting the material conveying speed, with a value of 0.3 (a constant term ranging from 0 to 1, which can be selected and adjusted according to the actual machine equipment); norm represents the normalization operation. This represents the current load anomaly factor. The larger the value, the greater the reduction in material conveying speed. As a regulating factor, To adjust the proportional coefficient. This allows for the adjustment of the material feeding speed at the current moment.

[0052] After adjusting the feeding speed, in order to overcome the resistance of the crushed material, it is necessary to increase the input power of the crusher's motor, if conditions permit, to increase its torque and overcome the greater resistance. When increasing the input power, it is necessary to determine whether the current temperature of the crusher's motor is within its tolerance range. If adjusting the input power results in increased heat generation due to the increased motor power, it may cause damage to the motor. Therefore, further assessment and control of the current motor temperature are required.

[0053] The ratio of the current temperature to the motor's thermal protection temperature is obtained and denoted as the temperature judgment factor. If the temperature judgment factor is less than the judgment threshold, the temperature setting condition is met. Specifically, the ternary expression for determining whether the temperature setting condition is met is: , in, This represents the output value of a ternary expression used to determine whether the temperature setting conditions are met at the current moment. This indicates the current temperature of the motor. This indicates the motor's thermal protection temperature; that is, the motor enters thermal protection mode when this temperature is exceeded. The specific value needs to be determined based on the motor. This represents the temperature judgment factor. The closer this value is to 1, the greater the risk that the motor may have thermal protection issues, and the less likely it is that the motor power can be adjusted. This indicates the threshold value, which is 0.7 (the specific value should be set according to the heat generated by the pulverizer motor).

[0054] The input power of the motor at the current moment is adjusted. Specifically, the temperature judgment factor is negatively correlated and mapped using an exponential function with the natural constant as the base, to obtain the mapped value; the second mapping coefficient, the current load anomaly factor, and the mapped value are multiplied to obtain the first adjustment ratio coefficient; the difference between the maximum input power of the motor and the current input power of the motor is obtained and multiplied by the first adjustment ratio coefficient to obtain the adjustment range; the sum of the current input power of the motor and the adjustment range is obtained and recorded as the pre-adjusted input power; the minimum value between the pre-adjusted input power and the maximum input power of the motor is taken as the adjusted input power of the motor.

[0055] The specific calculation model for the input power of the adjusted motor is as follows: ,

[0056] in, This represents the adjusted input power of the motor, and min represents the function that takes the minimum value. This represents the current input power of the motor, and norm indicates the normalization operation. Indicates the second mapping coefficient. This represents the load anomaly factor at the current moment. The larger this value, the greater the input power of the motor, and the greater the degree to which it overcomes resistance. e represents the natural constant. This indicates the current temperature of the motor. Indicates the motor's thermal protection temperature. This indicates the maximum input power of the motor; The first adjustment ratio coefficient, This represents the limiting factor for adjusting the input power of the output motor. Because the higher the ratio of the current temperature to the motor's thermal protection temperature, the worse the motor's heat resistance, and therefore the smaller the adjustment range for the power. To adjust the amplitude, Values (A constant term with a value between 0 and 1; the specific value can be selected and adjusted according to the actual machine equipment.) To pre-adjust the input power, take its sum. The minimum value in the range is used to prevent the motor from overheating. This allows for the adjustment of the motor's input power.

[0057] Step S5: After adjusting the current material conveying speed and motor input power, monitor the pulverizer for abnormalities based on the load change characteristic value within a preset time period after the current moment.

[0058] After adjusting the material conveying speed and motor input power using the above steps, it is necessary to determine whether there are any abnormalities based on subsequent feedback. Specifically, the load level within a preset time period after the current moment is obtained, and then the characteristic value of the load level change within the preset time period after the current moment is obtained. The method for obtaining this value is the same as described above. The preset time period is 5 seconds (reference value; the implementer can adjust it according to the actual situation).

[0059] The load level change characteristic value within a preset time period after the current time is compared with the load level change characteristic value of the target interval at the current time to obtain the anomaly judgment index; if the anomaly judgment index is greater than the anomaly judgment threshold, it indicates that an anomaly has occurred.

[0060] The specific calculation model for the anomaly detection index is as follows: , in, This represents the judgment index for potential abnormalities of the crusher within a preset time length after the monitoring time n after adjustment, where t is 5 seconds, and is also the abnormality judgment index. This represents the characteristic value of the load level change in the target interval at the current moment. This represents the characteristic value of load level change within a preset time period after the current moment. This represents the ratio of the two values. The larger the value, the smaller the load reduction after adjustment, the more likely the crushing resistance of the crusher will still exist, and the greater the probability of blockages and other abnormalities.

[0061] After adjusting and running the pulverizer as described above, if (Anomaly detection threshold) If the value is set to 0.8 (reference value), it indicates that the grinder is experiencing blockage or other abnormalities, and a timely warning should be issued. Otherwise, the grinding parameters can be restored to their previous state and grinding can continue.

[0062] In summary, this application enables dynamic monitoring of the operating load of the grass fiber shredder, thereby ensuring stable equipment operation, optimizing shredding efficiency, and extending service life.

[0063] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0064] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0065] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for dynamic monitoring of the operating load of a grass fiber shredder, characterized in that, The method includes: The output voltage, output current, actual speed, temperature, and material conveying speed of the pulverizer motor are collected during the pulverizing process; the load level sequence is obtained based on the output voltage, output current, and actual speed of the pulverizer motor. The load level sequence is first-order differencing to obtain the difference value at each time step; if the difference value at the current time step is within a continuous interval where the difference value is greater than zero, this continuous interval is recorded as the target interval; the load level change characteristic value of the target interval is obtained based on the target interval. The load anomaly factor at the current moment is obtained based on the load level change characteristics of each target interval in history and the target interval at the current moment; If the load anomaly factor meets the first set condition, the material conveying speed at the current moment is adjusted according to the load anomaly factor; if the motor temperature at the current moment meets the temperature set condition, the input power of the motor at the current moment is adjusted. After adjusting the current material conveying speed and motor input power, the abnormality of the crusher is monitored based on the load change characteristic value within a preset time period after the current moment.

2. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, The process of obtaining the load level sequence based on the output voltage, output current, and actual speed of the pulverizer motor includes: The theoretical speed of the motor at a given moment is obtained based on its output voltage and current. The load level value at that moment is obtained by comparing the theoretical speed with the actual speed. The load level values ​​at all moments are then combined to form a load level sequence.

3. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, If the difference value at the current moment is within a continuous interval where the difference value is greater than zero, this continuous interval is denoted as the target interval, including: If the difference between the current time and the previous consecutive time is greater than zero, then the current time and the difference between the current time and the previous consecutive time form a continuous interval with a difference greater than zero, and this continuous interval is the target interval for the current time. If the difference between the current time and the previous time is less than or equal to zero, and the difference between the current time and the previous time is greater than zero, then the difference between the current time and the previous time is the target interval for the current time.

4. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, The step of obtaining the load level change characteristic value of the target interval based on the target interval includes: The first change feature is obtained by averaging and normalizing the average of all difference values ​​within the target interval; the normalized value of the order of a difference value within the target interval is obtained as the weight of that difference value; the second change feature is obtained by weighting and normalizing all difference values ​​using the weight of each difference value within the target interval; the first change feature and the second change feature are weighted and summed to obtain the load change feature value of the target interval.

5. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, The process of obtaining the load anomaly factor at the current moment based on the load level change characteristic values ​​of historical target intervals and the target interval at the current moment includes: The characteristic value of the load level change in the target interval at the current moment is compared with the characteristic value of the load level change in a historical target interval to obtain the characteristic ratio corresponding to that historical target interval. The absolute value of the difference between the total amount of material input in a historical target interval and the total amount of material input in the target interval at the current moment is negatively correlated using an exponential function with the natural constant as the base to obtain the weight corresponding to that historical target interval. The weighted average of the characteristic ratios corresponding to each historical target interval is calculated using the weights corresponding to each historical target interval to obtain the load anomaly factor at the current moment.

6. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, If the load anomaly factor meets the first preset condition, the material conveying speed at the current moment is adjusted according to the load anomaly factor, including: If the load anomaly factor at the current moment is greater than the possible judgment threshold, then the load anomaly factor satisfies the first set condition; obtain the normalized value of the product of the mapping coefficient of the material conveying speed adjustment and the load anomaly factor at the current moment, and record it as the adjustment factor; obtain the difference between the preset value and the adjustment factor, and record it as the adjustment ratio coefficient; the product of the material conveying speed at the current moment and the adjustment ratio coefficient is the adjusted material conveying speed.

7. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, If the current temperature of the motor meets the set temperature conditions, adjusting the input power of the motor at the current moment includes: The ratio of the current temperature to the motor thermal protection temperature is obtained and recorded as the temperature judgment factor; if the temperature judgment factor is less than the judgment threshold, the temperature setting condition is met. A negative correlation mapping is performed on the temperature judgment factor using an exponential function with the natural constant as the base, to obtain the mapping value; the first adjustment ratio coefficient is obtained by multiplying the second mapping coefficient, the current load anomaly factor, and the mapping value; the difference between the maximum input power of the motor and the current input power of the motor is obtained and multiplied by the first adjustment ratio coefficient to obtain the adjustment range; the sum of the current input power of the motor and the adjustment range is obtained and recorded as the pre-adjusted input power; the minimum value between the pre-adjusted input power and the maximum input power of the motor is taken as the adjusted input power of the motor.

8. The method for dynamic monitoring of the operating load of a grass fiber shredder according to claim 1, characterized in that, The monitoring of pulverizer anomalies based on load level change characteristics within a preset time period after the current moment includes: The load level change characteristic value within a preset time period after the current time is compared with the load level change characteristic value of the target interval at the current time to obtain the anomaly judgment index; if the anomaly judgment index is greater than the anomaly judgment threshold, it indicates that an anomaly has occurred.

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