Steel ball feeding method and system

Abstract

The invention provides a steel ball feeding method and system, and belongs to the technical field of metallurgy control. The method comprises the steps that the load current, the shell vibration frequency and the operation power of a vertical mill are obtained; calculating a working condition anomaly index based on the load current, the shell vibration frequency and the operation power; if the working condition abnormal index is not smaller than a first abnormal index threshold value, a steel ball parameter adjusting strategy is determined based on the working condition abnormal index, the load current, the shell vibration frequency and the operation power; the current ball suction amount and / or the current ball suction frequency of the steel balls are / is adjusted based on the steel ball parameter adjustment strategy, and the target ball suction amount and / or the target ball suction frequency are / is obtained; controlling the steel ball adsorption equipment based on the target ball adsorption amount and / or the target ball adsorption frequency; and the steel ball adsorption equipment is used for adsorbing the steel balls from the ball bin and transferring the steel balls to an inlet of the steel ball chute, so that the steel balls enter the vertical mill through the steel ball chute. Timing and quantitative steel ball conveying can be accurately achieved, and the grinding efficiency is improved.

Description

Technical Field

[0001] This application belongs to the field of metallurgical control technology, and more specifically, relates to a method and system for feeding steel balls. Background Technology

[0002] A vertical roller mill is a key piece of equipment that crushes materials through the impact and grinding of steel balls, and is widely used in mining, building materials, and other fields. Its grinding efficiency, product particle size, and equipment lifespan are highly dependent on the stability of the total number of steel balls inside the mill. Since the steel balls wear down during the grinding process, they need to be replenished periodically. Therefore, the steel ball feeding system is a core auxiliary system that ensures the continuous and stable operation of the vertical roller mill. The core function of the steel ball feeding system is to transport steel balls to the vertical roller mill. However, existing steel ball feeding methods cannot accurately achieve timed and quantitative steel ball delivery. Summary of the Invention

[0003] The purpose of this application is to provide a method and system for feeding steel balls, so as to accurately realize the timed and quantitative feeding of steel balls and improve grinding efficiency.

[0004] A first aspect of this application provides a method for feeding steel balls, comprising: Obtain the load current, shell vibration frequency, and operating power of the vertical mill; calculate the abnormal operating condition index based on the load current, shell vibration frequency, and operating power; If the abnormal operating condition index is not less than the first abnormal index threshold, the steel ball parameter adjustment strategy is determined based on the abnormal operating condition index, load current, shell vibration frequency and operating power. The current ball suction volume and / or current ball suction frequency of the steel ball are adjusted based on the steel ball parameter adjustment strategy to obtain the target ball suction volume and / or target ball suction frequency; The steel ball adsorption equipment is controlled based on the target ball adsorption volume and / or target ball adsorption frequency. The steel ball adsorption equipment is used to adsorb steel balls from the ball bin and move the steel balls to the inlet of the steel ball chute so that the steel balls enter the vertical mill through the steel ball chute.

[0005] A second aspect of this application provides a system for feeding steel balls, comprising: The anomaly monitoring module is used to acquire the load current, shell vibration frequency, and operating power of the vertical mill; and to calculate the operating condition anomaly index based on the load current, shell vibration frequency, and operating power. The adjustment strategy analysis module is used to determine the steel ball parameter adjustment strategy based on the operating condition abnormality index, load current, shell vibration frequency and operating power if the operating condition abnormality index is not less than the first abnormality index threshold. The parameter adjustment module is used to adjust the current ball suction volume and / or current ball suction frequency of the steel ball based on the steel ball parameter adjustment strategy to obtain the target ball suction volume and / or target ball suction frequency; The control module is used to control the steel ball adsorption equipment based on the target ball adsorption volume and / or target ball adsorption frequency; the steel ball adsorption equipment is used to adsorb steel balls from the ball bin and move the steel balls to the inlet of the steel ball chute so that the steel balls enter the vertical mill through the steel ball chute.

[0006] A third aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for feeding steel balls.

[0007] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for feeding steel balls.

[0008] The beneficial effects of the steel ball feeding method and system provided in this application are as follows: This application effectively solves the problem that existing steel ball feeding methods cannot accurately achieve timed and quantitative feeding, bringing significant practical value. This application monitors the load current, shell vibration frequency, and operating power of the vertical mill; these parameters directly reflect whether the steel balls are suitable for the current grinding requirements. By calculating the abnormal operating condition index, this application can accurately determine whether the amount of steel balls is appropriate; if not, it can specifically adjust the ball suction volume and / or suction frequency to ensure that the steel ball feeding always matches the real-time needs of the vertical mill. Therefore, excessive steel balls will not lead to accelerated equipment wear and increased energy consumption, nor will insufficient steel balls lead to decreased grinding efficiency and unqualified product particle size. Ultimately, this results in more stable operation of the vertical mill, improved grinding efficiency, and more reliable product quality, while reducing equipment failures and energy waste, and lowering overall production costs. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of this application, 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 A schematic flowchart illustrating a method for feeding steel balls according to an embodiment of this application; Figure 2 This application provides a structural block diagram of a steel ball feeding system according to an embodiment of the present application. Figure 3 This is a schematic block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0011] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0012] It is understood that in the embodiments of this application, data such as user information are involved. When the embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of related data must comply with relevant laws, regulations and standards.

[0013] It should be noted that the terms "first," "second," etc., used in the specification, claims, and drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in sequences other than those illustrated or described herein.

[0014] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for feeding steel balls according to an embodiment of this application. The method can be executed by an electronic device, and specifically, the method may include steps S101 to S103.

[0015] S101: Obtain the load current, shell vibration frequency, and operating power of the vertical mill; calculate the abnormal operating condition index based on the load current, shell vibration frequency, and operating power.

[0016] In this embodiment, the steel ball feeding environment is specifically controlled by an electrical control box. Steel balls enter the ball chamber through the ball inlet pipe. The electrical control box controls a powerful electromagnet or electromagnetic chuck to adsorb a pre-set quantitative amount of steel balls from the ball chamber at a certain frequency, and then transports the adsorbed steel balls to the steel ball feeding port, such as the inlet of a chute pipe (the inlet can be a funnel), and then into the vertical mill through the chute pipe. Traditional steel ball feeding uses belt conveyor, which makes it difficult to control the amount of balls added, cannot achieve precise quantitative and timed ball feeding, and cannot cope with changes in operating conditions.

[0017] In this embodiment, a vertical mill refers to a device that achieves pulverization by impacting and crushing materials with steel balls. Load current is the current of the vertical mill's drive motor, reflecting the grinding load. Shell vibration frequency is the vibration frequency of the vertical mill's outer shell, reflecting the grinding matching state between the steel balls and the material. Operating power is the power consumption of the vertical mill during operation, reflecting energy consumption and load conditions. The abnormal operating condition index is an indicator calculated by combining load current, shell vibration frequency, and operating power, used to quantify the degree to which the vertical mill's operating conditions deviate from normal conditions.

[0018] Load current, shell vibration frequency, and operating power are core parameters reflecting the operating status of the vertical roller mill and the demand for steel balls. Load current reflects the grinding load, vibration frequency reflects the matching degree between steel balls and materials, and operating power is related to energy consumption and load. The combination of these three parameters can comprehensively assess the operating conditions. This embodiment comprehensively calculates the operating condition anomaly index, which can achieve quantitative perception of operating condition anomalies, and thus accurately identify whether the vertical roller mill is experiencing abnormalities due to mismatch in steel ball quantity. This provides an objective basis for subsequent steel ball parameter adjustments and improves the accuracy of matching steel ball feeding with operating conditions.

[0019] For example, in this embodiment, a current sensor can be installed in the drive motor circuit of the vertical mill to collect the load current, a vibration sensor can be installed on the outside of the casing to collect the casing vibration frequency, and a power sensor can be installed in the power supply circuit to collect the operating power. All sensors are connected to the electrical control box to transmit the collected data in real time. This embodiment can pre-store the load current reference value, casing vibration frequency reference value, and operating power reference value under normal operating conditions (e.g., set to 50A, 35Hz, and 50kW respectively) based on the vertical mill's design parameters and historical normal operating data. This embodiment can perform statistical analysis on the collected parameters every 5 minutes, calculating the difference between the current load current and the reference value, the difference between the casing vibration frequency and the reference value, and the difference between the operating power and the reference value. Then, each difference is divided by the corresponding allowable deviation range (e.g., allowable deviation of current ±10A, vibration ±5Hz, and power ±8kW) to obtain the deviation of each parameter. This embodiment can also calculate the weighted sum of the deviations of each parameter based on their influence weight on the operating condition (e.g., current 0.4, vibration 0.2, power 0.4) to obtain the operating condition anomaly index. If in a certain calculation the current deviation is 0.3, the vibration is 0.1, and the power is 0.2, then the exponent is 0.4×0.3+0.2×0.1+0.4×0.2=0.22.

[0020] S102: If the abnormal operating condition index is not less than the first abnormal index threshold, then the steel ball parameter adjustment strategy is determined based on the abnormal operating condition index, load current, shell vibration frequency and operating power.

[0021] In this embodiment, the first abnormality index threshold is a preset critical value for determining whether the operating condition of the vertical mill needs adjustment, used to define the boundary between normal and abnormal operating conditions. The steel ball parameter adjustment strategy is an adjustment plan formulated for steel ball feeding, used to clarify whether to adjust, which parameters to adjust, and how to adjust. Specifically, it includes adjustment rules for the ball suction volume and / or ball suction frequency, derived based on relevant operating condition parameters, to adapt to the real-time operating requirements of the vertical mill.

[0022] In this embodiment, a first anomaly index threshold is introduced to provide a clear standard for judging operating conditions. Adjustment is only initiated when the anomaly reaches the threshold, which can reduce ineffective intervention and ensure system stability. This embodiment uses the operating condition anomaly index to reflect the degree of deviation from the operating conditions, and then combines the load current, shell vibration frequency, and operating power to determine the adjustment strategy. This ensures that the strategy fits the actual operating conditions, making the steel ball parameter adjustment more precise, and making the steel ball feeding highly matched with the vertical mill's requirements, thereby improving the grinding effect and reducing energy consumption and equipment wear.

[0023] For example, in this embodiment, a first abnormality index threshold can be preset based on the vertical mill's design parameters, historical normal operation data, and industry standards. For instance, a threshold of 1.0 can be set. This threshold needs to be verified through multiple tests to ensure accurate differentiation between normal and abnormal operating conditions. In this embodiment, the abnormality index can be calculated in real-time during vertical mill operation, and compared with the first abnormality index threshold. If the comparison result shows that the abnormality index is not less than the first abnormality index threshold, a parameter analysis process is initiated. First, the direction of deviation of each parameter from the normal benchmark value is determined to identify whether the abnormality is due to insufficient or excessive ball loading. Then, the severity of the abnormality is quantified based on the magnitude of the abnormality index. Based on the abnormality type and severity, this embodiment can determine a ball parameter adjustment strategy. If it is a mild case of insufficient ball loading with only load current deviation, the strategy is to increase the ball suction volume only. If it is a severe case of excessive ball loading with significant deviations in multiple parameters, the strategy is to simultaneously reduce the ball suction volume and extend the ball suction frequency, ensuring that the adjustment strategy is highly targeted and adaptable to actual operating conditions.

[0024] S103: Adjust the current ball suction volume and / or current ball suction frequency of the steel ball based on the steel ball parameter adjustment strategy to obtain the target ball suction volume and / or target ball suction frequency.

[0025] In this embodiment, the current ball suction volume is the amount of steel balls that the steel ball adsorption equipment can adsorb in a single run before adjustment, reflecting the equipment's current single ball supply capacity; the current ball suction frequency is the number of adsorptions by the adsorption equipment per unit time before adjustment, reflecting the equipment's current ball supply rhythm; the target ball suction volume is the single adsorption volume that needs to be achieved after adjustment according to the steel ball parameter adjustment strategy, and the target ball suction frequency is the number of adsorptions per unit time that needs to be achieved after adjustment. Both are used to adapt to the steel ball requirements of the vertical mill under real-time operating conditions.

[0026] In this embodiment, the steel ball parameter adjustment strategy ensures that the adjustment direction and magnitude match the abnormal operating conditions, avoiding blind adjustments. This embodiment designs three parameter adjustment directions: adjusting only the ball suction volume, adjusting only the ball suction frequency, and adjusting both simultaneously. This design allows for flexible selection of the adjustment target based on the type of abnormality, reducing unnecessary parameter changes and mitigating system fluctuation risks. Simultaneously, focusing on current parameter adjustments allows for precise optimization based on the existing state, avoiding the inefficiency and errors of setting from zero. This embodiment can accurately obtain the target ball suction volume and / or target ball suction frequency, ensuring that the amount and rhythm of steel ball feeding match the vertical mill's requirements. This avoids excessive steel balls leading to increased equipment wear and energy consumption, or insufficient steel balls leading to decreased grinding efficiency, ensuring stable operation of the vertical mill and improving production continuity and product quality stability.

[0027] For example, this embodiment can first retrieve the current ball suction volume and current ball suction frequency. Assume the current ball suction volume is 18 kg per stroke and the current ball suction frequency is 1.2 strokes per hour. This embodiment can adjust the strategy based on the determined steel ball parameters. If it is determined to be a moderate overfill, the ball suction volume and frequency need to be reduced simultaneously, retrieving the adjustment coefficients corresponding to the overfill scenario from the strategy. This embodiment can calculate the adjustment range based on the adjustment coefficients. For example, if the ball suction volume needs to be reduced by 10% and the ball suction frequency needs to be reduced by 8%, the initial target ball suction volume is 16.2 kg per stroke and the initial target ball suction frequency is approximately 1.1 strokes per hour. This embodiment can verify the initial target parameters to confirm that they do not exceed the preset adjustment upper and lower limits (e.g., the lower limit of ball suction volume is 15 kg per stroke and the lower limit of frequency is 0.8 strokes per hour), ultimately determining the target ball suction volume as 16.2 kg per stroke and the target ball suction frequency as 1.1 strokes per hour, providing clear parameter basis for subsequent control of the adsorption equipment.

[0028] S104: Control the steel ball adsorption equipment based on the target ball suction volume and / or target ball suction frequency; the steel ball adsorption equipment is used to adsorb steel balls from the ball bin and move the steel balls to the inlet of the steel ball chute so that the steel balls enter the vertical mill through the steel ball chute.

[0029] In this embodiment, the steel ball adsorption device is controlled based on the target adsorption capacity, specifically including: determining the adsorption current of the steel ball adsorption device based on the target adsorption capacity; and controlling the steel ball adsorption device based on the adsorption current.

[0030] In this embodiment, the adsorption current refers to the current that provides magnetic force to the steel ball adsorption device. Its magnitude is directly related to the strength of the adsorption force generated by the device. Different adsorption forces result in different amounts of steel balls that can be adsorbed at one time. For example, the corresponding adsorption current can be determined based on the target number of steel balls to be adsorbed. The ball chamber refers to the container used to store the steel balls to be replenished. It is the source of steel balls obtained by the steel ball adsorption device. For example, it can be set within the grasping range of the steel ball adsorption device to facilitate the device to quickly retrieve the balls. The steel ball chute refers to the trough-shaped structure used to guide the movement of the steel balls. One end of it connects to the ball placement position of the steel ball adsorption device, and the other end connects to the ball inlet of the vertical mill. It is used to smoothly transport the steel balls transferred by the adsorption device into the vertical mill.

[0031] The adsorption force of the steel ball adsorption equipment is determined by the adsorption current. The magnitude of the adsorption force corresponds to the amount of steel balls adsorbed in a single operation (i.e., the adsorption volume). Therefore, in this embodiment, the required adsorption current can be determined in reverse based on the target adsorption volume. The adsorption current is then controlled to ensure the equipment adsorbs the target amount of steel balls. Simultaneously, the steel ball adsorption equipment retrieves balls from the ball bin along a predetermined path and transfers them to the steel ball chute. The chute's guiding effect ensures a stable delivery of steel balls to the vertical mill. This embodiment precisely controls the adsorption volume through the adsorption current, ensuring that the actual ball supply matches the target adsorption volume, avoiding excessive or insufficient steel balls. Furthermore, the chute delivery reduces losses and deviations during steel ball transport, ensuring a stable entry of steel balls into the vertical mill. Ultimately, this achieves precise and stable steel ball replenishment for the vertical mill, supporting its efficient operation.

[0032] For example, this embodiment can pre-define a table showing the correspondence between the target adsorption capacity and the adsorption current. This table is obtained through prior experiments. For instance, a target adsorption capacity of 18 kg corresponds to an adsorption current of 4.2 amperes, a target adsorption capacity of 20 kg corresponds to an adsorption current of 4.5 amperes, and a target adsorption capacity of 22 kg corresponds to an adsorption current of 4.8 amperes. Alternatively, this embodiment can also obtain a functional relationship between the adsorption capacity and the adsorption current through historical experimental data, and calculate the corresponding adsorption current using a specific function.

[0033] In this embodiment, when the target ball adsorption capacity is 19 kg, a preset correspondence table is invoked, and the required adsorption current of 4.35 amperes is determined through interpolation calculation. A control command for this adsorption current is then generated. This embodiment sends the adsorption current control command to the drive unit of the steel ball adsorption equipment. After receiving the command, the drive unit adjusts the equipment's operating current to 4.35 amperes, causing the steel ball adsorption equipment to generate the corresponding adsorption force. The steel ball adsorption equipment moves above the ball bin, contacts and adsorbs the steel balls. After adsorption, the equipment carries the steel balls along a preset trajectory to the inlet of the steel ball chute. When the steel ball adsorption equipment reaches the designated position at the chute inlet, the adsorption current drops to 0 amperes, the adsorption force disappears, and the steel balls fall into the steel ball chute under gravity, slide along the inner wall of the chute, and finally enter the vertical mill, completing one cycle of steel ball conveying control.

[0034] As can be seen from the above, this embodiment effectively solves the problem that existing steel ball feeding methods cannot accurately achieve timed and quantitative conveying, bringing significant practical value. This embodiment monitors the load current, shell vibration frequency, and operating power of the vertical mill; these parameters directly reflect whether the steel balls are suitable for the current grinding requirements. This embodiment calculates the abnormal operating condition index to accurately determine whether the amount of steel balls is appropriate; if not, it can specifically adjust the ball suction volume and / or suction frequency to ensure that the steel ball delivery always matches the real-time needs of the vertical mill. Therefore, excessive steel balls will not lead to accelerated equipment wear and increased energy consumption, nor will insufficient steel balls lead to decreased grinding efficiency and unqualified product particle size. Ultimately, this results in more stable operation of the vertical mill, improved grinding efficiency, and more reliable product quality, while reducing equipment failures and energy waste, and lowering overall production costs.

[0035] In one embodiment of this application, the calculation of an abnormal operating condition index based on load current, housing vibration frequency, and operating power includes: calculating the current difference between the load current and a reference load current value, and calculating a current deviation coefficient based on the current difference; calculating the vibration frequency difference between the housing vibration frequency and a reference housing vibration frequency value, and calculating a vibration frequency deviation coefficient based on the vibration frequency difference; calculating the power difference between the operating power and a reference operating power value, and calculating a power deviation coefficient based on the power difference; and calculating the abnormal operating condition index based on the current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient.

[0036] In this embodiment, the steel ball parameter adjustment strategy is determined based on the abnormal operating condition index, load current, shell vibration frequency, and operating power, specifically including: Determine the current deviation direction of the current difference, the vibration frequency deviation direction of the shell vibration frequency, and the power deviation direction of the operating power; determine the anomaly type based on the current deviation direction, vibration frequency deviation direction, and power deviation direction, including insufficient ball addition and excessive ball addition; If the abnormal operating condition index is not less than the second abnormal index threshold, the adjustment range of the suction frequency is determined based on the abnormality type, current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient, and the adjustment range of the suction volume is determined based on the abnormality type, current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient; the adjustment range of the suction frequency and the adjustment range of the suction volume are used as the target steel ball adjustment parameters; the second abnormal index threshold is greater than the first abnormal index threshold. If the abnormal working condition index is less than the second abnormal index threshold and the abnormality type is insufficient ball addition, the ball suction frequency adjustment range is determined based on the current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction frequency adjustment range is used as the target steel ball adjustment parameter. If the abnormal working condition index is less than the second abnormal index threshold and the abnormality type is excessive ball addition, the ball suction adjustment range is determined based on the current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction adjustment range is used as the target steel ball adjustment parameter. The steel ball parameter adjustment strategy is determined based on the target steel ball adjustment parameters.

[0037] In this embodiment, the current difference refers to the difference between the real-time load current and the load current reference value, reflecting the specific value of the load current deviating from the normal range; the vibration frequency difference refers to the difference between the real-time shell vibration frequency and the shell vibration frequency reference value, reflecting the degree of deviation of the vibration state; the power difference refers to the difference between the real-time operating power and the operating power reference value, quantifying the abnormal amplitude of power consumption. The current deviation direction refers to whether the current difference is positive or negative (positive means higher than the reference, negative means lower than the reference), and the vibration frequency deviation direction and power deviation direction are similarly defined. Insufficient ball addition means the total number of steel balls in the vertical mill is lower than the optimal range, while excessive ball addition means the total number of steel balls is higher than the optimal range. The second abnormality index threshold is a higher critical value than the first abnormality index threshold, used to define mild and severe abnormalities. The ball suction frequency adjustment range refers to the proportion or value that the current ball suction frequency needs to be increased or decreased, and the ball suction quantity adjustment range is similarly defined. The target steel ball adjustment parameter is the core parameter used to determine the adjustment strategy, including the adjustment range of the ball suction frequency or the ball suction quantity.

[0038] This embodiment quantifies the anomalies in operating parameters by calculating the difference and deviation coefficient. Analyzing the direction of deviation can directly pinpoint the root cause of the anomaly (insufficient or excessive ball addition), providing direction for adjustments. This embodiment sets two levels of anomaly index thresholds because different degrees of anomalies require differentiated adjustments: for severe anomalies (≥ the second threshold), the ball quantity deviation is large, requiring simultaneous adjustment of both the ball quantity and frequency for rapid correction; for mild anomalies (< the second threshold), only a single parameter needs adjustment (adjusting frequency for insufficient addition, adjusting quantity for excessive addition), which can reduce system fluctuations and avoid over-intervention. This embodiment ensures that the adjustment strategy accurately responds to operating conditions while also considering system stability, avoiding the one-sidedness of judging a single parameter and improper adjustment.

[0039] For example, this embodiment takes the steel ball feeding system of a large-scale mining vertical mill (rated processing capacity 120t / h) as an example, and the specific technical implementation steps are as follows: (1) Preset reference parameters and abnormal thresholds. In this embodiment, core reference values ​​can be pre-stored in the control system based on the design parameters of the vertical mill, historical normal operation data and industry operation and maintenance standards. For example, the load current reference value is 50A, the shell vibration frequency reference value is 35Hz, and the operating power reference value is 50kW. At the same time, this embodiment can set the first abnormal index threshold to 1.0 (to define whether the operating condition needs to be adjusted) and the second abnormal index threshold to 1.5 (to define mild and severe abnormalities), and preset the allowable deviation range of each parameter, such as load current ±10A, shell vibration frequency ±5Hz, and operating power ±8kW.

[0040] (2) Calculate the parameter difference and deviation coefficient. Assume that the parameters collected at a certain moment are: load current 40A, shell vibration frequency 30Hz, and operating power 41kW. The sensor transmits the data to the control system in real time. In this embodiment, the current difference -10A, vibration frequency difference -5Hz, and power difference -9kW can be calculated. Then, based on the difference and allowable deviation, the deviation coefficient is calculated: current deviation coefficient = -10A / 10A = -1.0, vibration frequency deviation coefficient = -5Hz / 5Hz = -1.0, power deviation coefficient = -9kW / 8kW ≈ -1.125, thus completing the quantification of the degree of abnormality.

[0041] (3) Calculate the abnormal operating condition index. In this embodiment, the abnormal operating condition index can be calculated using a weighted summation algorithm. Combining the influence weights of each parameter on the operating condition, such as load current 0.4, shell vibration frequency 0.2, and operating power 0.4, the absolute value of the deviation coefficient is substituted to calculate: Abnormal operating condition index = 0.4 × 1.0 + 0.2 × 1.0 + 0.4 × 1.125 = 0.4 + 0.2 + 0.45 = 1.05.

[0042] (4) Determine the type of abnormality. In this embodiment, the deviation direction of each parameter can be analyzed: the current difference, vibration frequency difference, and power difference are all negative, that is, they are all lower than the corresponding reference values. Combined with the operating characteristics of the vertical mill (when there are insufficient steel balls, the load, vibration and power are simultaneously low), the abnormality type is determined to be insufficient ball addition.

[0043] (5) Formulate a steel ball parameter adjustment strategy. In this embodiment, the abnormal working condition index (1.05) and the second abnormal index threshold (1.5) can be compared. Since 1.05 < 1.5, it belongs to a slight insufficient ball addition. According to the preset rules, it is only necessary to determine the ball suction frequency adjustment range as the target steel ball adjustment parameter. In this embodiment, the ball suction frequency adjustment range can be calculated as 15% based on the average value of the current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient ((1.0 + 1.0 + 1.125) / 3 ≈ 1.04), combined with the preset frequency adjustment correlation logic. If the current ball suction frequency is 1 time / hour, then the target ball suction frequency = 1 time / hour × (1 + 15%) = 1.15 times / hour (about 52 minutes / time), and finally the steel ball parameter adjustment strategy is formed.

[0044] If the parameters collected at another moment are: load current 62A, shell vibration frequency 42Hz, and operating power 60kW, the calculated current difference +12A, vibration frequency difference +7Hz, and power difference +10kW have deviation coefficients of 1.2, 1.4, and 1.25, respectively. The abnormal working condition index = 0.4×1.2+0.2×1.4+0.4×1.25=0.48+0.28+0.5=1.26, which is judged as a slight overfilling of balls. Only the ball suction adjustment range of 8% is determined as the target steel ball adjustment parameter.

[0045] This embodiment achieves precise adaptation of steel ball feeding parameters through multi-parameter quantitative analysis and a graded adjustment strategy. Based on three core parameters—load current, shell vibration frequency, and operating power—this embodiment calculates the difference and deviation coefficient, then weights them to obtain an anomaly index, avoiding the one-sidedness of single-parameter judgment and making anomaly identification more accurate. This embodiment divides minor and severe anomalies into two levels of anomaly thresholds and formulates differentiated adjustment strategies based on the anomaly type: minor insufficiency adjusts only the frequency, minor over-adjustment adjusts only the quantity, and severe anomalies adjust both parameters simultaneously. This avoids system fluctuations caused by excessive intervention in minor anomalies while ensuring rapid correction of deviations in severe anomalies. The steel ball parameter adjustment strategy is highly matched to the real-time operating conditions of the vertical mill, effectively avoiding problems such as decreased grinding efficiency and unqualified product particle size due to insufficient steel balls, or increased equipment wear and energy consumption caused by excessive steel balls. This significantly improves the operational stability and production efficiency of the vertical mill and reduces overall operation and maintenance costs.

[0046] In one embodiment of this application, determining the ball suction frequency adjustment range based on the current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient, and determining the ball suction volume adjustment range based on the current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient, includes: If the abnormality type is insufficient ball addition, the ball suction adjustment range is determined based on the first adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction frequency adjustment range is determined based on the second adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient. If the abnormality type is excessive ball addition, the ball suction adjustment range is determined based on the third adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction frequency adjustment range is determined based on the fourth adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient. The first adjustment factor is greater than the fourth adjustment factor, the fourth adjustment factor is greater than the second adjustment factor, and the second adjustment factor is greater than the third adjustment factor.

[0047] In this embodiment, the first adjustment coefficient is a preset proportional constant used to quantify the influence of current, vibration frequency, and power deviation coefficient on the adjustment range of the ball suction amount when the ball addition is insufficient, reflecting the adjustment weight of a single ball replenishment. The second adjustment coefficient is a proportional constant used to calculate the adjustment range of the ball suction frequency when the ball addition is insufficient, reflecting the adjustment weight of the replenishment rhythm. The third adjustment coefficient is a proportional constant used to determine the adjustment range of the ball suction amount when the ball addition is excessive; since a conservative reduction is required when there is an excess, its value is relatively small. The fourth adjustment coefficient is a proportional constant used to calculate the adjustment range of the ball suction frequency when the ball addition is excessive, reflecting the strategy of prioritizing frequency adjustment to control the replenishment rhythm when there is an excess. The four coefficients construct a differentiated adjustment logic through their relative magnitudes, ensuring that the amount is readjusted when there is insufficient ball addition and the frequency is readjusted when there is an excess.

[0048] In this embodiment, considering the need for rapid replenishment to restore grinding efficiency when the amount of steel balls is insufficient, a higher weight is given to adjusting the ball suction volume. This allows for rapid compensation of the shortfall by increasing the amount of balls added per cycle. When excessive balls are added, it is necessary to avoid equipment impact. Therefore, the replenishment amount per unit time is reduced by extending the ball suction frequency, utilizing natural wear and tear to gradually decrease the amount and reduce adjustment risk. The coefficient relationship conforms to the principle of responding urgently when there is insufficient ball quantity and responding slowly when there is excessive ball quantity. Furthermore, proportional quantification achieves a linear correlation between the adjustment range and the degree of deviation, avoiding subjective judgment errors and ensuring the scientific and operable nature of the adjustment strategy, thus achieving dynamic balance of the steel ball feeding system.

[0049] For example, this embodiment takes the steel ball feeding system of a vertical mill in a building materials factory as an example, and the specific steps are as follows: This embodiment can pre-store values ​​that meet the condition that "the first adjustment coefficient is greater than the fourth adjustment coefficient, the fourth adjustment coefficient is greater than the second adjustment coefficient, and the second adjustment coefficient is greater than the third adjustment coefficient." For example, the first adjustment coefficient is 0.4, the second adjustment coefficient is 0.2, the third adjustment coefficient is 0.1, and the fourth adjustment coefficient is 0.3. This embodiment can collect and calculate parameters at a certain moment through sensors. If the anomaly type is insufficient ball addition, the absolute value of the current deviation coefficient is 0.8, the absolute value of the vibration frequency deviation coefficient is 0.7, and the absolute value of the power deviation coefficient is 0.9. If the anomaly type is excessive ball addition, the absolute values ​​of the above coefficients are 0.6, 0.5, and 0.7, respectively.

[0050] When there are insufficient balls, this embodiment can take the average of the three absolute values ​​as 0.8. The ball absorption adjustment range = first adjustment coefficient × average value = 0.4 × 0.8 = 0.32 (i.e., 32%), and the ball absorption frequency adjustment range = second adjustment coefficient × average value = 0.2 × 0.8 = 0.16 (i.e., 16%). When there are excessive balls, this embodiment can take the average value as 0.6. The ball absorption adjustment range = third adjustment coefficient × average value = 0.1 × 0.6 = 0.06 (i.e., 6%), and the ball absorption frequency adjustment range = fourth adjustment coefficient × average value = 0.3 × 0.6 = 0.18 (i.e., 18%).

[0051] This embodiment adapts to different anomaly types by using differentiated adjustment coefficients. When there is insufficient ball supply, a larger first adjustment coefficient ensures a significant increase in ball intake, quickly compensating for the ball shortage. When there is excessive ball supply, a larger fourth adjustment coefficient prioritizes controlling the ball intake frequency, combined with a smaller third adjustment coefficient to prevent a sudden drop in ball intake. This approach precisely matches the needs of the vertical mill, reduces system fluctuations, ensures stable ball supply, improves grinding efficiency, and reduces equipment wear and energy consumption.

[0052] In one embodiment of this application, after controlling the steel ball adsorption device based on the target ball suction volume and / or target ball suction frequency, the method further includes: obtaining the measured weight of the steel ball at the inlet of the steel ball chute, calculating the difference between the measured steel ball weight and the target ball suction volume; if the difference exceeds the weight deviation range, updating the adsorption current of the steel ball adsorption device based on the difference; and controlling the steel ball adsorption device based on the updated adsorption current.

[0053] In this embodiment, the weight deviation range includes an upper weight deviation threshold and a lower weight deviation threshold. If the difference exceeds the weight deviation range, the adsorption current of the steel ball adsorption device is updated based on the difference. Specifically, if the difference exceeds the upper weight deviation threshold, the adsorption current of the steel ball adsorption device is updated based on a first adjustment step size; if the difference is lower than the lower weight deviation threshold, the adsorption current of the steel ball adsorption device is updated based on a second adjustment step size. The adjustment direction of the first adjustment step size is decreasing, and the adjustment direction of the second adjustment step size is increasing. The absolute value of the first adjustment step size is less than the absolute value of the second adjustment step size.

[0054] In this embodiment, the measured steel ball weight refers to the weight of steel balls actually conveyed by the steel ball adsorption device in a single batch, measured by a weighing device at the inlet of the steel ball chute. This weight is used to verify whether the actual ball supply matches the target. The difference refers to the numerical difference between the measured steel ball weight and the target ball supply, quantifying the degree of deviation between the actual ball supply and the target. The weight deviation range is a preset allowable range of difference fluctuations, used to determine whether the deviation needs correction. The upper limit threshold of the weight deviation is the maximum allowable value within this range, and the lower limit threshold is the minimum allowable value. The first adjustment step is a fixed amount of adjustment to the adsorption current when the difference exceeds the upper limit, and the direction is decreasing; the second adjustment step is the adjustment amount when the difference is below the lower limit, and the direction is increasing, with the former having a smaller absolute value.

[0055] With prolonged use, the actual ball adsorption capacity of the steel ball adsorption equipment, after being controlled according to the target adsorption capacity, often deviates from the target due to oil contamination on the steel ball surface, dimensional deviations, or fluctuations in the equipment's magnetic force, requiring closed-loop correction. When there is excessive adsorption (exceeding the upper limit), the current is reduced in small steps to avoid subsequent insufficient adsorption caused by an excessively large adjustment at once; when there is insufficient adsorption (below the lower limit), the current is increased in large steps to quickly compensate for the shortfall, balancing correction efficiency and stability. This embodiment dynamically eliminates deviations by adjusting the adsorption current in real time, avoiding the accumulation of errors from a single open-loop control and ensuring long-term accurate adsorption capacity.

[0056] For example, in this embodiment, a weighing sensor can be installed at the inlet of the steel ball chute, with a preset target ball suction volume of 25kg, a weight deviation range of ±1.5kg, an upper limit threshold of 26.5kg, a lower limit threshold of 23.5kg, a first adjustment step of -0.2A, and a second adjustment step of +0.3A.

[0057] In this embodiment, the initial adsorption current of 4.8A is determined based on the target ball adsorption capacity of 25kg, and a command is sent to the steel ball adsorption device. The steel ball adsorption device adsorbs steel balls from the ball bin at 4.8A, moves them to the chute inlet for release, and the weighing sensor detects the weight change, collecting the measured weight of the steel ball as 27.2kg.

[0058] In this embodiment, the difference can be calculated as 27.2kg - 25kg = 2.2kg. Since 2.2kg > 26.5kg (1.5kg, exceeding the upper limit), this embodiment can update the current from 4.8A to 4.6A using the first adjustment step. The steel ball adsorption device adsorbs and releases the steel ball at 4.6A, and the weighing sensor measures the actual weight as 26.1kg, with a difference of 1.1kg, which is within the ±1.5kg range, requiring no further adjustment.

[0059] If a measured weight is 22.8kg, the difference is 22.8kg - 25kg = -2.2kg, which is lower than the -1.5kg (lower limit) corresponding to 23.5kg. In this embodiment, the current can be updated from 4.6A to 4.9A according to the second adjustment step. After each ball suction and conveying is completed, this embodiment automatically repeats the process of actual measurement - difference calculation - deviation judgment - current adjustment (if necessary) to dynamically maintain the accuracy of the ball suction volume.

[0060] This embodiment, through actual weight verification and differentiated current adjustment, can eliminate ball suction deviation in real time, avoiding excessive ball supply leading to steel ball accumulation and accelerated equipment wear, or insufficient ball supply leading to decreased grinding efficiency and unqualified product particle size. The design of small step sizes to correct excessive ball supply and large step sizes to compensate for insufficient ball supply balances accuracy and efficiency, preventing error accumulation. Ultimately, it ensures that the steel ball supply consistently meets the needs of the vertical mill, improving equipment operational stability, reducing energy consumption and maintenance costs, and guaranteeing continuous and efficient production.

[0061] Corresponding to the steel ball feeding method in the above embodiment, Figure 2 This is a structural block diagram of a steel ball feeding system according to an embodiment of this application. For ease of explanation, only the parts relevant to the embodiment of this application are shown. References Figure 2 The steel ball feeding system 20 includes: an anomaly monitoring module 21, an adjustment strategy analysis module 22, a parameter adjustment module 23, and a control module 24.

[0062] Among them, the abnormal monitoring module 21 is used to acquire the load current, shell vibration frequency and operating power of the vertical mill; and to calculate the abnormal operating condition index based on the load current, shell vibration frequency and operating power. The adjustment strategy analysis module 22 is used to determine the steel ball parameter adjustment strategy based on the working condition abnormality index, load current, shell vibration frequency and operating power if the working condition abnormality index is not less than the first abnormality index threshold. The parameter adjustment module 23 is used to adjust the current ball suction volume and / or current ball suction frequency of the steel ball based on the steel ball parameter adjustment strategy to obtain the target ball suction volume and / or target ball suction frequency; The control module 24 is used to control the steel ball adsorption device based on the target ball adsorption volume and / or target ball adsorption frequency; the steel ball adsorption device is used to adsorb steel balls from the ball bin and move the steel balls to the inlet of the steel ball chute so that the steel balls enter the vertical mill through the steel ball chute.

[0063] In one embodiment of this application, the anomaly monitoring module 21 is specifically used for: Calculate the current difference between the load current and the reference load current, and calculate the current deviation coefficient based on the current difference; Calculate the vibration frequency difference between the shell vibration frequency and the shell vibration frequency reference value, and calculate the vibration frequency deviation coefficient based on the vibration frequency difference; Calculate the power difference between the operating power and the reference operating power value, and calculate the power deviation coefficient based on the power difference; The abnormal operating condition index is calculated based on the current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient.

[0064] In one embodiment of this application, the adjustment strategy analysis module 22 is specifically used for: Determine the current deviation direction of the current difference, the vibration frequency deviation direction of the shell vibration frequency, and the power deviation direction of the operating power; determine the anomaly type based on the current deviation direction, vibration frequency deviation direction, and power deviation direction, including insufficient ball addition and excessive ball addition; If the abnormal operating condition index is not less than the second abnormal index threshold, the adjustment range of the suction frequency is determined based on the abnormality type, current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient, and the adjustment range of the suction volume is determined based on the abnormality type, current deviation coefficient, vibration frequency deviation coefficient, and power deviation coefficient; the adjustment range of the suction frequency and the adjustment range of the suction volume are used as the target steel ball adjustment parameters; the second abnormal index threshold is greater than the first abnormal index threshold. If the abnormal working condition index is less than the second abnormal index threshold and the abnormality type is insufficient ball addition, the ball suction frequency adjustment range is determined based on the current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction frequency adjustment range is used as the target steel ball adjustment parameter. If the abnormal working condition index is less than the second abnormal index threshold and the abnormality type is excessive ball addition, the ball suction adjustment range is determined based on the current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction adjustment range is used as the target steel ball adjustment parameter. The steel ball parameter adjustment strategy is determined based on the target steel ball adjustment parameters.

[0065] In one embodiment of this application, the adjustment strategy analysis module 22 is further used for: If the abnormality type is insufficient ball addition, the ball suction adjustment range is determined based on the first adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction frequency adjustment range is determined based on the second adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient. If the abnormality type is excessive ball addition, the ball suction adjustment range is determined based on the third adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient, and the ball suction frequency adjustment range is determined based on the fourth adjustment coefficient, current deviation coefficient, vibration frequency deviation coefficient and power deviation coefficient. The first adjustment factor is greater than the fourth adjustment factor, the fourth adjustment factor is greater than the second adjustment factor, and the second adjustment factor is greater than the third adjustment factor.

[0066] In one embodiment of this application, the control module 24 is specifically used to: determine the adsorption current of the steel ball adsorption device based on the target adsorption volume; The steel ball adsorption equipment is controlled based on the adsorption current.

[0067] In one embodiment of this application, after controlling the steel ball adsorption device based on the target adsorption volume and / or target adsorption frequency, a steel ball feeding system 20 further includes: a weight control module, used to obtain the measured weight of the steel ball at the inlet of the steel ball chute, calculate the difference between the measured steel ball weight and the target adsorption volume; if the difference exceeds the weight deviation range, update the adsorption current of the steel ball adsorption device based on the difference; and control the steel ball adsorption device based on the updated adsorption current.

[0068] In one embodiment of this application, the weight deviation range includes an upper weight deviation threshold and a lower weight deviation threshold; the weight control module is specifically used to: if the difference exceeds the upper weight deviation threshold, update the adsorption current of the steel ball adsorption device based on a first adjustment step size; if the difference is lower than the lower weight deviation threshold, update the adsorption current of the steel ball adsorption device based on a second adjustment step size; the adjustment direction of the first adjustment step size is decreasing, and the adjustment direction of the second adjustment step size is increasing; the absolute value of the first adjustment step size is less than the absolute value of the second adjustment step size.

[0069] See Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided according to an embodiment of this application. Figure 3The electronic device 300 in this embodiment may include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memories 304 store computer programs, including program instructions. The processors 301 execute the program instructions stored in the memories 304. Specifically, the processors 301 are configured to invoke the program instructions to perform the functions of the modules in the aforementioned system embodiments, for example... Figure 2 The functions of the anomaly monitoring module 21, adjustment strategy analysis module 22, parameter adjustment module 23, and control module 24 are shown.

[0070] It should be understood that, in the embodiments of this application, the processor 301 may be a central processing unit (CPU), but it may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0071] Input device 302 may include a touchpad, a fingerprint sensor (for collecting the user's fingerprint information and fingerprint orientation information), a microphone, etc., and output device 303 may include a display (LCD, etc.), a speaker, etc.

[0072] The memory 304 may include read-only memory and random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include non-volatile random access memory. For example, the memory 304 may also store information about the specifications of the steel balls.

[0073] In specific implementations, the processor 301, input device 302, and output device 303 described in the embodiments of this application can execute the implementation methods described in the embodiments of the steel ball feeding method provided in this application, or they can execute the implementation methods of the electronic device 300 described in the embodiments of this application, which will not be repeated here.

[0074] In another embodiment of this application, a computer-readable storage medium is provided. This computer-readable storage medium stores a computer program, which includes program instructions. When executed by a processor, the program instructions implement all or part of the processes in the methods described above. Alternatively, the computer program can instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0075] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the foregoing embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD) card, flash card, etc., equipped on the electronic device. Furthermore, the computer-readable storage medium can include both internal and external storage units of the electronic device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0076] Those skilled in the art will recognize that the modules / units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0077] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the electronic devices and units described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0078] In the embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For instance, the division of modules / units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules, units, or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces or modules / units, or it may be an electrical, mechanical, or other form of connection.

[0079] The modules / units described as separate components may or may not be physically separate. Similarly, the components shown as modules / units may or may not be physical modules / units; they may be located in one place or distributed across multiple network modules / units. Some or all of the modules / units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.

[0080] Furthermore, the functional modules / units in the various embodiments of this application can be integrated into one processing module / unit, or each module / unit can exist physically separately, or two or more modules / units can be integrated into one module / unit. The integrated modules / units described above can be implemented in hardware or in the form of software functional modules / units.

[0081] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for feeding steel balls, characterized in that, include: Obtain the load current, shell vibration frequency, and operating power of the vertical mill; calculate the abnormal operating condition index based on the load current, shell vibration frequency, and operating power; If the abnormal operating condition index is not less than the first abnormal index threshold, then the steel ball parameter adjustment strategy is determined based on the abnormal operating condition index, the load current, the shell vibration frequency, and the operating power. Based on the steel ball parameter adjustment strategy, the current ball suction volume and / or current ball suction frequency of the steel ball are adjusted to obtain the target ball suction volume and / or target ball suction frequency. The steel ball adsorption device is controlled based on the target ball adsorption volume and / or the target ball adsorption frequency; the steel ball adsorption device is used to adsorb steel balls from the ball chamber and move the steel balls to the inlet of the steel ball chute so that the steel balls enter the vertical mill through the steel ball chute.

2. The method for feeding steel balls as described in claim 1, characterized in that, The calculation of the abnormal operating condition index based on the load current, the housing vibration frequency, and the operating power includes: Calculate the current difference between the load current and the load current reference value, and calculate the current deviation coefficient based on the current difference; Calculate the vibration frequency difference between the shell vibration frequency and the shell vibration frequency reference value, and calculate the vibration frequency deviation coefficient based on the vibration frequency difference; Calculate the power difference between the operating power and the operating power reference value, and calculate the power deviation coefficient based on the power difference; The abnormal operating condition index is calculated based on the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient.

3. The method for feeding steel balls as described in claim 2, characterized in that, The strategy for determining steel ball parameter adjustment based on the abnormal operating condition index, the load current, the shell vibration frequency, and the operating power includes: Determine the current deviation direction of the current difference, the vibration frequency deviation direction of the housing vibration frequency, and the power deviation direction of the operating power; determine the anomaly type based on the current deviation direction, the vibration frequency deviation direction, and the power deviation direction, the anomaly type including insufficient ball addition and excessive ball addition; If the abnormal operating condition index is not less than the second abnormal index threshold, then the ball suction frequency adjustment range is determined based on the abnormality type, the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient; the ball suction volume adjustment range is determined based on the abnormality type, the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient; the ball suction frequency adjustment range and the ball suction volume adjustment range are used as target steel ball adjustment parameters; the second abnormal index threshold is greater than the first abnormal index threshold; If the abnormal working condition index is less than the second abnormal index threshold and the abnormality type is insufficient ball addition, the ball suction frequency adjustment range is determined based on the current deviation coefficient, the vibration frequency deviation coefficient and the power deviation coefficient, and the ball suction frequency adjustment range is used as the target steel ball adjustment parameter. If the abnormal working condition index is less than the second abnormal index threshold and the abnormality type is excessive ball addition, then the ball suction adjustment range is determined based on the current deviation coefficient, the vibration frequency deviation coefficient and the power deviation coefficient, and the ball suction adjustment range is used as the target steel ball adjustment parameter. The steel ball parameter adjustment strategy is determined based on the target steel ball adjustment parameters.

4. The method for feeding steel balls as described in claim 3, characterized in that, The step of determining the ball suction frequency adjustment range based on the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient, and determining the ball suction volume adjustment range based on the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient, includes: If the abnormality type is insufficient ball addition, the ball suction adjustment range is determined based on the first adjustment coefficient, the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient, and the ball suction frequency adjustment range is determined based on the second adjustment coefficient, the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient. If the abnormality type is excessive ball addition, the ball suction amount adjustment range is determined based on the third adjustment coefficient, the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient, and the ball suction frequency adjustment range is determined based on the fourth adjustment coefficient, the current deviation coefficient, the vibration frequency deviation coefficient, and the power deviation coefficient. The first adjustment coefficient is greater than the fourth adjustment coefficient, the fourth adjustment coefficient is greater than the second adjustment coefficient, and the second adjustment coefficient is greater than the third adjustment coefficient.

5. The method for feeding steel balls as described in claim 1, characterized in that, Controlling the steel ball adsorption device based on the target adsorption capacity includes: The adsorption current of the steel ball adsorption device is determined based on the target adsorption capacity. The steel ball adsorption device is controlled based on the adsorption current.

6. The method for feeding steel balls as described in claim 1, characterized in that, After controlling the steel ball adsorption device based on the target adsorption volume and / or the target adsorption frequency, the method further includes: Obtain the measured weight of the steel ball at the inlet of the steel ball chute, and calculate the difference between the measured weight of the steel ball and the target suction amount; If the difference exceeds the weight deviation range, the adsorption current of the steel ball adsorption device is updated based on the difference. The steel ball adsorption device is controlled based on the updated adsorption current.

7. The method for feeding steel balls as described in claim 6, characterized in that, The weight deviation range includes an upper limit threshold for weight deviation and a lower limit threshold for weight deviation. If the difference exceeds the weight deviation range, the adsorption current of the steel ball adsorption device is updated based on the difference, including: If the difference exceeds the upper limit threshold of weight deviation, the adsorption current of the steel ball adsorption device is updated based on the first adjustment step size. If the difference is lower than the lower limit threshold of weight deviation, the adsorption current of the steel ball adsorption device is updated based on the second adjustment step size. The adjustment direction of the first adjustment step is decreasing, and the adjustment direction of the second adjustment step is increasing; the absolute value of the first adjustment step is less than the absolute value of the second adjustment step.

8. A system for feeding steel balls, characterized in that, include: An anomaly monitoring module is used to acquire the load current, shell vibration frequency, and operating power of the vertical mill; and to calculate the operating condition anomaly index based on the load current, the shell vibration frequency, and the operating power. The adjustment strategy analysis module is used to determine the steel ball parameter adjustment strategy based on the operating condition abnormality index, the load current, the shell vibration frequency, and the operating power if the operating condition abnormality index is not less than the first abnormality index threshold. The parameter adjustment module is used to adjust the current ball suction volume and / or current ball suction frequency of the steel ball based on the steel ball parameter adjustment strategy to obtain the target ball suction volume and / or target ball suction frequency. The control module is used to control the steel ball adsorption device based on the target ball adsorption volume and / or the target ball adsorption frequency; the steel ball adsorption device is used to adsorb steel balls from the ball chamber and move the steel balls to the inlet of the steel ball chute so that the steel balls enter the vertical mill through the steel ball chute.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 7.

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