Pellet reciprocating shuttle car material distribution simulation calculation method and related device

Abstract

The invention provides a pellet reciprocating shuttle car cloth simulation calculation method and a related device, and relates to the technical field of cloth simulation calculation. By establishing a dynamic space-time linkage model in the material distribution process, on the basis of collaborative acquisition of equipment parameters, equipment operation is discretized into small time period units, transverse material quantity difference is accurately quantified in combination with a material distribution proportion array, and linkage accumulation of shuttle car material receiving position dynamic updating and a wide belt material quantity matrix is achieved. Accurate pre-judgment and parameter optimization in the pellet distribution process are achieved, and the three core problems of low efficiency, high risk and high cost caused by the fact that traditional production depends on manual observation are solved.

Description

Technical Field

[0001] This application relates to the field of fabric simulation calculation technology, and in particular to a method and related apparatus for fabric simulation calculation using a pellet reciprocating shuttle. Background Technology

[0002] With the increasingly stringent requirements of modern blast furnaces for raw materials and the rise of short-process steelmaking, the important role of iron ore pellets in the smelting process is becoming increasingly apparent. my country's iron ore supply is unstable and its composition is complex and variable. Furthermore, the heat source for roasting pellets currently relies mainly on coal, while the supply of high-calorific-value fuel gas and oil is relatively difficult. Therefore, using large-scale equipment such as chain grate rotary kilns undoubtedly better meets the requirements of pellet production. Consequently, the chain grate rotary kiln process is currently the most widely used pellet production process in my country. Its process flow is as follows: raw material preparation, batching, mixing, pelletizing, screening, feeding, chain grate drying and preheating, rotary kiln roasting, cooling, and finished pellets.

[0003] As a crucial step in the production process of a chain grate rotary kiln, the uniformity of material distribution directly impacts the firing effect. Uneven distribution leads to over-firing and grate damage in thinner sections due to lower airflow resistance, while thicker sections suffer from poor air permeability and incomplete firing, resulting in low-strength dry balls entering the kiln or even cracking and ring formation within the kiln. Therefore, necessary measures must be taken to ensure a uniform and stable material layer in the chain grate. Summary of the Invention

[0004] To improve the accuracy of argon flow control and ensure the stability of molten steel quality and production safety under harsh environments, this application provides a simulation calculation method and related apparatus for pellet reciprocating shuttle feeding.

[0005] Firstly, the technical solution adopted in this application for simulating and calculating the fabric of a pellet reciprocating shuttle is as follows:

[0006] A method for simulating and calculating the fabric of a reciprocating shuttle for pelletizing includes:

[0007] Acquire equipment parameters, including: synchronously acquire the walking acceleration limit of the shuttle fabric feeder, the belt speed conversion relationship, and the coordinates of its connection position with the wide belt;

[0008] The system collects data on the dimensions, speed characteristics, and effective load width of the wide conveyor belt.

[0009] Based on the connection position coordinates and equipment size parameters, a dynamic queue matching the material distribution of the shuttle car is constructed, and a two-dimensional material matrix is ​​constructed based on the width belt size;

[0010] Based on the shuttle car's travel acceleration limit and speed conversion relationship, the displacement within the discrete time unit is calculated, and the shuttle car's material receiving position coordinates are dynamically updated.

[0011] Based on the effective loading width and feeding rate of the green ball conveyor belt, the material discharge per unit width is generated;

[0012] The material quantity distribution in the receiving area of ​​the dynamic queue is updated in a linked manner.

[0013] Based on the spatiotemporal relationship between the shuttle car unloading point coordinates and the wide belt running status, update the material distribution of the two-dimensional fabric matrix;

[0014] Analyze the horizontal and vertical data distribution of the two-dimensional fabric matrix and output the fabric uniformity evaluation results.

[0015] Optionally, the device parameters include:

[0016] Maximum acceleration limit and linear ramp rule for shuttle car motor;

[0017] The formula for converting the speed of a wide belt includes: motor frequency, drum diameter, transmission ratio, and the number of pole pairs used to calculate the speed.

[0018] The coordinates of the equipment connection positions include: the relative positions of the green ball conveyor belt and the shuttle car, and the shuttle car and the wide conveyor belt.

[0019] Optionally, the displacement calculation needs to be performed in segments:

[0020] The forward movement is divided into five stages: acceleration, constant speed, pre-deceleration, deceleration, and stopping.

[0021] The velocity vectors for each stage are generated using a linear ramp rule, where acceleration constraints limit the gradient of velocity changes.

[0022] Optionally, the calculation of the material feed per unit width needs to be associated with the material distribution ratio, including:

[0023] Array of lateral distribution ratios of raw pellet conveyor materials;

[0024] Array of lateral distribution ratios of materials on shuttle belts.

[0025] Optionally, dynamic queue updates include:

[0026] Set the back end of the queue to zero according to the distance the shuttle belt moves;

[0027] Offset the receiving coordinates according to the direction of movement;

[0028] The unit feed amount is accumulated to the corresponding coordinate interval according to the material distribution ratio.

[0029] Optionally, the update of the two-dimensional matrix needs to be performed synchronously:

[0030] The wide belt is shifted across the matrix by the moving distance and the new area is reset.

[0031] The material feed rate of the shuttle car is accumulated to the target coordinate range according to the distribution ratio.

[0032] Optionally, uniformity optimization applications include:

[0033] Adjust the shuttle car acceleration parameters or the green ball belt feed rate based on the evaluation results;

[0034] Iterative simulations are used to select the optimal parameter combination to guide production.

[0035] Secondly, this application provides a pellet reciprocating shuttle fabric simulation calculation device, comprising:

[0036] The data acquisition module is used to acquire equipment parameters, including: synchronously acquiring the walking acceleration limit of the shuttle fabric feeder, the belt speed conversion relationship, and the coordinates of its connection position with the wide belt;

[0037] The data acquisition module is used to correlate and acquire the dimensional parameters of the wide conveyor belt, its operating speed characteristics, and the effective load width of the green pellet conveyor belt.

[0038] The matrix construction module is used to construct a dynamic queue that matches the material distribution of the shuttle car based on the connection position coordinates and equipment size parameters, and to construct a two-dimensional fabric matrix based on the width belt size;

[0039] The coordinate update module is used to calculate the displacement within a discrete time unit based on the shuttle car's travel acceleration limit and speed conversion relationship, and dynamically update the shuttle car's material receiving position coordinates.

[0040] The data generation module is used to generate the material feed per unit width based on the effective material loading width and feed rate of the green ball conveyor belt;

[0041] The linkage update module is used to link and update the material quantity distribution in the receiving area of ​​the dynamic queue.

[0042] The distribution update module is used to update the material distribution of the two-dimensional fabric matrix based on the spatiotemporal relationship between the coordinates of the shuttle unloading point and the running status of the wide belt.

[0043] The evaluation results module is used to analyze the horizontal and vertical data distribution of the two-dimensional fabric matrix and output the fabric uniformity evaluation results.

[0044] Thirdly, this application provides a computer device, the device comprising: a memory and a processor, wherein the processor, when executing computer instructions stored in the memory, performs the method described above.

[0045] Fourthly, this application provides a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the method described above.

[0046] In summary, this application establishes a dynamic spatiotemporal linkage model for the pelletizing process. Based on the collaborative acquisition of equipment parameters, it discretizes equipment operation into minute time-segment units and precisely quantifies lateral material quantity differences by combining a material distribution ratio array. This enables dynamic updating of the shuttle car receiving position and the linked accumulation of the wide belt material quantity matrix. It achieves accurate prediction and parameter optimization of the pelletizing process, solving the three core problems of low efficiency, high risk, and high cost inherent in traditional production methods that rely on manual observation. Attached Figure Description

[0047] Figure 1 This is a schematic diagram of the computer device structure of the hardware operating environment involved in the embodiments of this application;

[0048] Figure 2 This is a flowchart illustrating the first embodiment of the pellet reciprocating shuttle fabric simulation calculation method of this application;

[0049] Figure 3 This is a schematic diagram of the connection structure of the chain grate machine-rotary kiln feeding equipment in this application;

[0050] Figure 4 This is a schematic diagram of the material receiving process during the forward movement of the shuttle feeder in this application;

[0051] Figure 5 This is a schematic diagram of the material receiving situation during the retraction process of the shuttle feeder in this application;

[0052] Figure 6 This is a schematic diagram of the shuttle car receiving capacity queue of this application;

[0053] Figure 7 This is a schematic diagram of the wide belt material receiving matrix and its relationship with the shuttle car position in this application;

[0054] Figure 8 This is a schematic diagram of the shuttle car operation control signals of this application;

[0055] Figure 9 This is a schematic diagram illustrating the change in shuttle speed in this application;

[0056] Figure 10 This is a schematic diagram of the material distribution on the conveyor belt in this application;

[0057] Figure 11 This is a structural block diagram of the first embodiment of the pellet reciprocating shuttle fabric simulation calculation device of this application. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0059] Reference Figure 1 , Figure 1 This is a schematic diagram of the computer device structure of the hardware operating environment involved in the embodiments of this application.

[0060] like Figure 1 As shown, the computer device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0061] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the computer device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0062] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a pellet reciprocating shuttle fabric simulation calculation program.

[0063] exist Figure 1 In the computer device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in this application can be set in the computer device. The computer device calls the pellet reciprocating shuttle fabric simulation calculation program stored in the memory 1005 through the processor 1001 and executes the pellet reciprocating shuttle fabric simulation calculation method provided in the embodiment of this application.

[0064] This application provides a method for simulating and calculating the fabric of a reciprocating shuttle car for pelletizing, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the pellet reciprocating shuttle fabric simulation calculation method of this application.

[0065] In this embodiment, the simulation calculation method for the pellet reciprocating shuttle fabric includes the following steps:

[0066] Step S10: Obtain equipment parameters, including: synchronously obtaining the walking acceleration limit of the shuttle fabric feeder, the belt speed conversion relationship, and the coordinates of its connection position with the wide belt.

[0067] The equipment parameters include: the maximum acceleration limit of the shuttle car motor and the linear ramp rule; the wide belt speed conversion formula, including: motor frequency, roller diameter, transmission ratio, and pole pair calculation speed; and the equipment connection position coordinates, including: the relative positions of the green ball belt and the shuttle car, and the shuttle car and the wide belt.

[0068] It should be noted that in the current chain grate-rotary kiln production process, after the pelletizing disc produces green pellets, they pass through a roller screen and are fed into the green pellet conveyor belt. The material on the green pellet conveyor belt is then transferred to the shuttle distributor. Through the movement of the shuttle distributor, the green pellets are evenly distributed onto the wide belt, and then transferred by the wide belt to the chain grate grate bed. One type of equipment connection structure is as follows: Figure 3 As shown.

[0069] The shuttle feeder is a fully mobile type, feeding material onto a wide conveyor belt by moving forward and backward. During the shuttle's movement, the direction of the conveyor belt changes relative to the shuttle's movement direction. When the belt's direction is the same as the shuttle's direction, the material receiving area on the shuttle belt moves a larger distance relative to the green ball conveyor belt; when the belt's direction is opposite to the shuttle's direction, the material receiving area moves a smaller distance relative to the green ball conveyor belt. In other words, when the green ball conveyor feed rate remains constant, the unit material receiving amount on the shuttle belt is less when the belt's direction is the same as the shuttle's direction than when the belt's direction is opposite.

[0070] like Figure 4 When the shuttle car travels forward for a time Δt, the distance the receiving position moves is S = v. b ×Δt+v m ×Δt. For example... Figure 5 As shown, when the shuttle car travels backward for a time Δt, the material receiving position moves a distance S = v. b ×Δt-v m ×Δt. During production, the shuttle belt speed remains constant. The shuttle's movement speed, from start to stop, undergoes three processes: linear acceleration, constant speed, and linear deceleration. Currently, in production, the shuttle belt speed is generally greater than the shuttle's moving speed; therefore, the moving distance S is greater than 0. According to... Figure 4 and Figure 5 The schematic diagram of material receiving shows that the amount of material received increases during the backward movement due to the decrease in relative movement distance, thus affecting the unit material feeding amount of the shuttle car during the forward and backward movements.

[0071] To simulate fabric fabric, it is necessary to obtain information such as the connection relationships, parameters, and models of the equipment. Figure 3 Taking the equipment structure as an example, the relationship between the length and width of the wide belt, the motor frequency and the belt speed, the relationship between the walking motor frequency and the walking speed of the shuttle feeder, the deceleration and acceleration ramps of the walking motor, the relationship between the running frequency and the belt speed of the shuttle feeder belt, the length and width of the shuttle feeder; the loading width and feeding amount of the green ball belt; the connection position relationship between the three devices, etc.; based on the above parameters, an equipment model of the equipment to be simulated is constructed.

[0072] Understandably, based on the equipment's structural parameters, a queue representing the material feeding status of the shuttle feeder is established. sc Array Q represents the fabric type of the wide belt. k ,like Figure 6-7 As shown.

[0073] The feed rate of the green pellet conveyor belt is replaced by the overall conveying capacity instead of Q. s =zhssl, effective load width W of green ball conveyor belt sq The effective load width W of the shuttle belt sq According to the design, the effective load width of a flat belt is approximately equal to the belt width minus 150mm, and the effective load width of a trough belt is approximately equal to 0.75 × the belt width.

[0074] Then, based on the given frequency, calculate the shuttle belt speed, shuttle travel speed, and wide belt speed. The conversion between frequency and speed is calculated using the following formula:

[0075] v b = (f × π × D) / (i × p)

[0076] Where f represents the motor frequency (Hz), p represents the number of pole pairs, and v b The value represents the belt speed (m / s), D represents the diameter of the drive drum, and i represents the ratio between the motor's input speed and output speed.

[0077] Unlike belt speed, shuttle car movement does not immediately reach the target speed after the set operating frequency; there is an acceleration / deceleration process. This acceleration / deceleration can be categorized into linear ramps (uniform acceleration) and nonlinear ramps (non-uniform acceleration). Nonlinear ramps are suitable for applications requiring high smoothness (such as precision equipment), while linear ramps are simpler to implement. Based on some field experience, the shuttle car motor uses a linear ramp type, i.e., v(t) = v0 + a × t, where v(t) represents the velocity at time t, v0 represents the initial velocity, and a represents a constant acceleration, but a is variable and has a maximum permissible acceleration a. max This indicates that the maximum speed change gradient of the shuttle cannot exceed a. maxOtherwise, during deceleration, the shuttle may run out of the maximum boundary limit range, or even off the track, such as... Figure 8 As shown, a proximity switch is installed to control the deceleration of the shuttle car.

[0078] Step S20: Collect the size parameters of the wide belt, its running speed characteristics, and the effective load width of the green ball belt.

[0079] Step S30: Based on the connection position coordinates and equipment size parameters, construct a dynamic queue that matches the material distribution of the shuttle car, and construct a two-dimensional material matrix based on the width belt size;

[0080] Step S40: Based on the shuttle car travel acceleration limit and speed conversion relationship, calculate the displacement within the discrete time unit and dynamically update the shuttle car receiving position coordinates.

[0081] It should be noted that the displacement calculation needs to be performed in segments: the forward process is divided into five stages: acceleration, constant speed, pre-deceleration, deceleration, and stopping; the velocity vector of each stage is generated by the linear ramp rule, in which the acceleration limit constrains the gradient of velocity change.

[0082] In practical implementation, according to the shuttle car operation rules, such as Figure 9 As shown, the shuttle's forward movement is divided into multiple stages. The velocity vector of the shuttle's forward movement is calculated with a time interval of Δt:

[0083] Accelerate forward: in N is an integer.

[0084] Uniform speed segment: The number of velocities in the uniform segment is

[0085] Forward pre-deceleration phase: in

[0086] Forward deceleration phase: in

[0087] Stop before: The number of preceding stops is

[0088] Arrange the values ​​calculated at each stage in sequence to obtain the velocity vector of the shuttle's forward movement. Similarly, the velocity vector of the shuttle car reversing can be calculated.

[0089] Step S50: Based on the effective loading width and feeding amount of the green ball conveyor belt, generate the unit width feeding amount.

[0090] It should be noted that the calculation of the material feed per unit width needs to be associated with the material distribution ratio, including: the array of the lateral distribution ratio of the raw ball conveyor material; and the array of the lateral distribution ratio of the shuttle conveyor material.

[0091] In practice, after calculating the relationships between various variables required for model calculation based on the current set parameters and equipment structure, the fabric distribution simulation calculation begins. The calculation process for simulating the material distribution of the green pellet conveyor belt on the shuttle car is as follows:

[0092] Step 1) With the shuttle at the starting position and in forward running mode, initialize the Queue. sc The starting coordinates for shuttle car receiving material are Based on the comprehensive conveying capacity zhssl, calculate the amount of material per unit time and per unit width of the green pellet conveyor belt. Calculate the cloth situation on the shuttle during the initial run, and then set the Queue... sc Assign values ​​to variables within the corresponding coordinate range in the Queue. sc [i start ]=Q′ sc Queue sc [i start +1]=Q′ sc ,…,Queue sc [i start +W sq -1]=Q′ sc .

[0093] Step 2) Read the shuttle car travel speed value at intervals Δt. i from 0 to The running speed v of the shuttle belt b Calculate the shuttle belt travel distance S b =v b ×Δt, first put the queue (Queue) sc Move forward S b Quantity (i.e., queue backend S) b Assign a length of 0, such as in Queue. sc [L queue -S b -1] = 0, Queue sc [L queue -S b -2]=0,…,Queue sc [L queue -1]=0) is used to simulate the movement of the actual belt; then the travel distance S of the shuttle is calculated. m =v m ×Δt, the coordinate position of the shuttle car receiving material: i start =i start +S m Calculate the current Queue sc Assign values ​​to variables within the corresponding coordinate range in the Queue. sc [i start ] = Queue sc [i start ]+Q′ sc Queue sc [i start +1] = Queue sc [i start +1]+Q′ sc ...,Queue sc [i start +W sq -1] = Queue sc [i start +W sq -1]+Q′ sc .when Once the shuttle completes its forward movement, it begins to reverse (see step 3 for calculations).

[0094] 3) Read the shuttle car travel speed value at intervals Δt. i from 0 to Shuttle belt running speed v b Calculate the belt travel distance S b =v b ×Δt, first put the queue (Queue) sc Move forward S b Quantity, (i.e., queue backend S) b Assign a length of 0, such as in Queue. sc [L queue -S b -1] = 0, Queue sc [L queue -S b -2]=0,…,Queue sc [L queue -1]=0) is used to simulate the movement of the actual belt; then the travel distance S of the shuttle is calculated. m =v m ×Δt, the coordinate position of the shuttle car receiving material: i start =i start -S m Calculate the current Queue sc Assign values ​​to variables within the corresponding coordinate range in the Queue. sc [i start ] = Queue sc [i start ]+Q′ sc Queue sc[i start +1] = Queue sc [i start +1]+Q′ sc ,…,Queue sc [i start +W sq -1] = Queue sc [i start +W sq -1]+Q′ sc .when After the shuttle completes its reverse operation, it starts its forward operation (see step 2 for calculations).

[0095] By repeating steps 2) and 3) above, the material distribution on the shuttle car belt can be simulated.

[0096] Step S60: Update the material quantity distribution in the receiving area of ​​the dynamic queue.

[0097] It should be noted that dynamic queue updates include: setting the queue back end to zero according to the shuttle belt travel distance; offsetting the receiving coordinates according to the direction of movement; and accumulating the unit material feed amount to the corresponding coordinate range according to the material distribution ratio.

[0098] After the material is transferred to the shuttle car, it is then fed onto the wide conveyor belt. The calculation method for the material being fed onto the wide conveyor belt from the shuttle car is as follows:

[0099] 1) On the first start, the shuttle car is in the initial position, and the starting and ending coordinates of the unloading point on the wide conveyor belt are P. start =[n start ,m start Let P = [n, m] = P start Based on the current belt speed, calculate the shuttle car belt rotation distance S. b Queue for recording shuttle car loading status sc [0,S] b -1] coordinates, the sum of the data is the material feed amount at the current moment, and the material feed range is Q. k In the matrix [[n start ,n start +1,...,n start +W sc -1],m start Within the range, based on the material loading width W of the shuttle car belt sc The material feed rate per unit width is: Q' StoK =Q StoK / W sc , let Q k [[n,n+1,...,n+W sc -1],m]=Q′ StoK .

[0100] 2) During the shuttle's forward movement, firstly, based on the speed v of the wide belt... k Calculate the travel distance S of the wide belt. k =v k ×Δt, based on the distance S moved k The wide belt splicing quantity matrix Q k The entire structure moves along the direction of travel, and the movement process is initiated by first setting Q. k H k -S k -1,H k -1],[0,W k -1]]=0, then Q k [[0,H k -S k -1],[0,W k -1]] is assigned to Q k [[S k -1,H k -1],[0,W k -1]], and finally, the newly entered belt is reassigned the value Q. k [[0,S k -2],[0,W k -1]]=0. Then, based on the shuttle's moving speed, the shuttle's moving distance S is obtained. m According to S m The new vertical coordinate of the shuttle car's unloading point is obtained as m = mS. m Based on the current belt speed, calculate the shuttle car belt rotation distance S. b According to Queue sc The mid-coordinates are [0, S] b Calculate Q′ from values ​​within the range of -1]. StoK =Q StoK / W sc Based on the new unit width cutting amount and the current cutting coordinates, the new cutting amount is added to the previous value within this range: Q k [[n,n+1,...,n+W sc -1],m]=Q k [[n,n+1,...,n+W sc -1],m]+Q′ StoK .

[0101] 3) The shuttle is in a backward movement process. First, the material receiving matrix Q of the wide belt is adjusted according to the moving speed of the wide belt. k Proceed with the movement (continuous with the forward movement), and then obtain the shuttle travel distance S based on the shuttle's speed. m According to S m The new vertical coordinate of the shuttle car's unloading point is obtained as m = m + S. mBased on the current belt speed, calculate the shuttle car belt rotation distance S. b According to Queue sc The mid-coordinates are [0, S] b Calculate Q' from values ​​within the range of -1]. StoK =Q StoK / W sc Based on the new unit width cutting amount and the current cutting coordinates, the new cutting amount is added to the previous value within this range: Q k [[n,n+1,...,n+W sc -1],m]=Q k [[n,n+1,...,n+W sc -1],m]+Q' StoK .

[0102] The fabric condition Q on the wide belt was obtained through the above two simulation calculations. k .

[0103] Step S70: Update the material distribution of the two-dimensional fabric matrix based on the spatiotemporal relationship between the shuttle unloading point coordinates and the wide belt running status.

[0104] It should be noted that the two-dimensional matrix update needs to be performed synchronously: the wide belt is translated as a whole according to the moving distance and the new area is reset; the shuttle car feeding amount is accumulated to the target coordinate range according to the distribution ratio.

[0105] In practice, the above assumes uniform fabric distribution; in reality, the material is unevenly distributed along the width of the belt. Figure 10 As shown. Further simulation can be used to establish the correspondence between material flow rate and the effective load width of the belt. sq =f1(zhssl), W sc =f2(Q k ), calculate the proportion of material quantity at different horizontal positions to the total material quantity. The material feed rate per unit position is calculated using a simulation scale. For example, the material feed rate at each position during the process of the green ball conveyor belt dropping material to the shuttle conveyor belt should be: The material at each position during the process of the shuttle car dropping material onto the wide conveyor belt should be: Q k [n,m]=Q StoK ×Per_sc[0],Q k [n+1,m]=Q StoK ×Per_sc[1],…,Q k [n+W sc -1,m]=Q StoK ×Per_sc[W sc -1].

[0106] The above simulation demonstrates the fabric condition Q on the wide belt. k It can be achieved by Q k Uniformity analysis in both horizontal and vertical dimensions yields the fabric uniformity of the system under these parameters. The fabric simulation calculation facilitates the optimization of suitable system settings under specified comprehensive conveying capacity conditions in offline scenarios, enabling production use and reducing production instability issues that may arise during online debugging and operation.

[0107] Step S80: Analyze the horizontal and vertical data distribution of the two-dimensional fabric matrix and output the fabric uniformity evaluation results.

[0108] Uniformity optimization applications include: adjusting shuttle acceleration parameters or green ball belt feed rate based on evaluation results; and using iterative simulation to screen the optimal parameter combination to guide production.

[0109] This embodiment establishes a dynamic spatiotemporal linkage model for the pelletizing process. Based on the collaborative acquisition of equipment parameters, it discretizes equipment operation into minute time-segment units and precisely quantifies lateral material quantity differences by combining a material distribution ratio array. This enables dynamic updating of the shuttle car receiving position and the linkage accumulation of the wide belt material quantity matrix. It achieves accurate prediction and parameter optimization of the pelletizing process, solving the three core problems of low efficiency, high risk, and high cost caused by traditional production relying on manual observation.

[0110] Furthermore, this application also proposes a computer-readable storage medium storing a program for simulating fabric calculation using a pellet reciprocating shuttle. When the program for simulating fabric calculation using a pellet reciprocating shuttle is executed by a processor, it implements the steps of the method for simulating fabric calculation using a pellet reciprocating shuttle as described above.

[0111] Reference Figure 11 , Figure 11 This is a structural block diagram of the first embodiment of the pellet reciprocating shuttle fabric simulation calculation device of this application.

[0112] like Figure 11 As shown, the pellet reciprocating shuttle fabric simulation calculation device proposed in this application includes:

[0113] The data acquisition module 10 is used to acquire equipment parameters, including: synchronously acquiring the walking acceleration limit of the shuttle fabric feeder, the belt speed conversion relationship and the coordinates of its connection position with the wide belt;

[0114] The data acquisition module 20 is used to collect the size parameters of the wide belt, its running speed characteristics, and the effective load width of the green pellet belt.

[0115] The matrix construction module 30 is used to construct a dynamic queue that matches the material distribution of the shuttle car based on the connection position coordinates and equipment size parameters, and to construct a two-dimensional fabric matrix based on the width belt size;

[0116] The coordinate update module 40 is used to calculate the displacement within a discrete time unit based on the shuttle car travel acceleration limit and speed conversion relationship, and dynamically update the shuttle car receiving position coordinates.

[0117] Data generation module 50 is used to generate the unit width feed rate based on the effective material loading width and feed rate of the green ball conveyor belt;

[0118] The linkage update module 60 is used to link and update the material quantity distribution in the receiving area of ​​the dynamic queue.

[0119] The distribution update module 70 is used to update the material distribution of the two-dimensional fabric matrix based on the spatiotemporal relationship between the coordinates of the shuttle unloading point and the running status of the wide belt.

[0120] The evaluation results module 80 is used to analyze the horizontal and vertical data distribution of the two-dimensional fabric matrix and output the fabric uniformity evaluation results.

[0121] It should be understood that the above are merely illustrative examples and do not constitute any limitation on the technical solution of this application. In specific applications, those skilled in the art can make settings as needed, and this application does not impose any restrictions on this.

[0122] This embodiment establishes a dynamic spatiotemporal linkage model for the pelletizing process. Based on the collaborative acquisition of equipment parameters, it discretizes equipment operation into minute time-segment units and precisely quantifies lateral material quantity differences by combining a material distribution ratio array. This enables dynamic updating of the shuttle car receiving position and the linkage accumulation of the wide belt material quantity matrix. It achieves accurate prediction and parameter optimization of the pelletizing process, solving the three core problems of low efficiency, high risk, and high cost caused by traditional production relying on manual observation.

[0123] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of this application. In practical applications, those skilled in the art can select some or all of it to achieve the purpose of this embodiment according to actual needs, and no restrictions are imposed here.

[0124] In addition, for technical details not described in detail in this embodiment, please refer to the method for simulating and calculating the fabric of the reciprocating shuttle of pellets provided in any embodiment of this application, which will not be repeated here.

[0125] Furthermore, it should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0126] The sequence numbers of the embodiments in this application are merely for descriptive purposes and do not represent the superiority or inferiority of the embodiments. Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory (ROM) / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of this application. The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for simulating and calculating the fabric of a reciprocating shuttle for pelletizing, characterized in that, include: Acquire equipment parameters, including: synchronously acquire the walking acceleration limit of the shuttle fabric feeder, the belt speed conversion relationship, and the coordinates of its connection position with the wide belt; The system collects data on the dimensions, speed characteristics, and effective load width of the wide conveyor belt. Based on the connection position coordinates and equipment size parameters, a dynamic queue matching the material distribution of the shuttle car is constructed, and a two-dimensional material matrix is ​​constructed based on the width belt size; Based on the shuttle car's travel acceleration limit and speed conversion relationship, the displacement within the discrete time unit is calculated, and the shuttle car's material receiving position coordinates are dynamically updated. Based on the effective loading width and feeding rate of the green ball conveyor belt, the material discharge per unit width is generated; The material quantity distribution in the receiving area of ​​the dynamic queue is updated in a linked manner. Based on the spatiotemporal relationship between the shuttle car unloading point coordinates and the wide belt running status, update the material distribution of the two-dimensional fabric matrix; Analyze the horizontal and vertical data distribution of the two-dimensional fabric matrix and output the fabric uniformity evaluation results.

2. The method according to claim 1, characterized in that, The device parameters include: Maximum acceleration limit and linear ramp rule for shuttle car motor; The formula for converting the speed of a wide belt includes: motor frequency, drum diameter, transmission ratio, and the number of pole pairs used to calculate the speed. The coordinates of the equipment connection positions include: the relative positions of the green ball conveyor belt and the shuttle car, and the shuttle car and the wide conveyor belt.

3. The method according to claim 1, characterized in that, Displacement calculation needs to be performed in segments: The forward movement is divided into five stages: acceleration, constant speed, pre-deceleration, deceleration, and stopping. The velocity vectors for each stage are generated using a linear ramp rule, where acceleration constraints limit the gradient of velocity changes.

4. The method according to claim 1, characterized in that, The calculation of material feed per unit width needs to be correlated with the material distribution ratio, including: Array of lateral distribution ratios of raw pellet conveyor materials; Array of lateral distribution ratios of materials on shuttle belts.

5. The method according to claim 1, characterized in that, Dynamic queue updates include: Set the back end of the queue to zero according to the distance the shuttle belt moves; Offset the receiving coordinates according to the direction of movement; The unit feed amount is accumulated to the corresponding coordinate interval according to the material distribution ratio.

6. The method according to claim 1, characterized in that, Two-dimensional matrix updates need to be executed synchronously: The wide belt is shifted across the matrix by the moving distance and the new area is reset. The material feed rate of the shuttle car is accumulated to the target coordinate range according to the distribution ratio.

7. The method according to claim 1, characterized in that, Uniformity optimization applications include: Adjust the shuttle car acceleration parameters or the green ball belt feed rate based on the evaluation results; Iterative simulations are used to select the optimal parameter combination to guide production.

8. A pellet reciprocating shuttle fabric simulation and calculation device, characterized in that, include: The data acquisition module is used to acquire equipment parameters, including: synchronously acquiring the walking acceleration limit of the shuttle fabric feeder, the belt speed conversion relationship, and the coordinates of its connection position with the wide belt; The data acquisition module is used to correlate and acquire the dimensional parameters of the wide conveyor belt, its operating speed characteristics, and the effective load width of the green pellet conveyor belt. The matrix construction module is used to construct a dynamic queue that matches the material distribution of the shuttle car based on the connection position coordinates and equipment size parameters, and to construct a two-dimensional fabric matrix based on the width belt size; The coordinate update module is used to calculate the displacement within a discrete time unit based on the shuttle car's travel acceleration limit and speed conversion relationship, and dynamically update the shuttle car's material receiving position coordinates. The data generation module is used to generate the material feed per unit width based on the effective material loading width and feed rate of the green ball conveyor belt; The linkage update module is used to link and update the material quantity distribution in the receiving area of ​​the dynamic queue. The distribution update module is used to update the material distribution of the two-dimensional fabric matrix based on the spatiotemporal relationship between the coordinates of the shuttle unloading point and the running status of the wide belt. The evaluation results module is used to analyze the horizontal and vertical data distribution of the two-dimensional fabric matrix and output the fabric uniformity evaluation results.

9. A computer device, characterized in that, The device includes a memory and a processor, wherein the processor, when executing computer instructions stored in the memory, performs the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Includes instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1 to 7.

Images