Long distance belt conveyor control method and apparatus

Abstract

This application discloses a long-distance belt conveyor control method and equipment, relating to the field of belt conveyor technology. The method includes: obtaining the initial operating route of the project; determining the overall selection result of the belt conveyor using conveyor simulation software based on the initial operating route and target control parameter set; and constructing a belt conveyor model using AMESim software based on the overall selection result, and determining the dynamic performance simulation results of the belt conveyor under the target control parameter set. This application improves the control performance of long-distance belt conveyors through overall selection and dynamic performance simulation.

Description

Technical Field

[0001] This application relates to the field of belt conveyor technology, and in particular to a control method and equipment for long-distance belt conveying. Background Technology

[0002] Belt conveyors are highly efficient continuous transportation equipment, widely used in mining, agriculture, metallurgical engineering, and other fields due to their advantages such as simple structure, high transmission efficiency, large conveying capacity, and small footprint. In recent years, the increasing demands for production capacity and efficiency have made long-distance, large-capacity, and high-speed belt conveyors the main development direction. Long distances mean complex resistance calculations and route variations, diverse application environments, greater demand for steel structures and high-power motors, more idlers, and more failure modes, resulting in higher overall machine costs and operating energy consumption, higher daily maintenance costs, and more difficult dynamic characteristic analysis.

[0003] Existing methods for designing and selecting long-distance belt conveyors, as well as analyzing their dynamic characteristics, primarily rely on static design principles, with only a few large and complex conveyors undergoing dynamic design calculations. Currently, static calculations are typically based on the "DTⅡ(A) Type Belt Conveyor Design Manual," focusing on increasing safety factors to ensure safe and reliable operation. However, this approach neglects the worst-case operating conditions, leading to inappropriate equipment selection. This design philosophy, based on static breaking limits and increasing safety factors to ensure the allowable load-bearing capacity of the conveyor belt and other components, fails to consider the dynamics of the belt conveyor during transitions or the internal mechanical properties of the conveyor belt. Consequently, it cannot accurately assess the strength of the conveyor, especially the reliability of the conveyor belt. Summary of the Invention

[0004] The purpose of this application is to provide a long-distance belt conveyor control method and equipment, which can improve the rationality of long-distance belt conveyor control.

[0005] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides a long-distance belt conveyor control method, including: Obtain the initial running path of the project; Based on the initial operating route and target control parameter set of the project, the overall selection result of the belt conveyor was determined using conveyor belt simulation software; Based on the overall machine selection results, a belt conveyor model was constructed using AMESim software to determine the dynamic performance simulation results of the belt conveyor under the target control parameter set.

[0006] Optionally, the conveyor belt simulation software is Belt Analyst software.

[0007] Optionally, based on the initial operating route and target control parameter set of the project, the overall selection result of the belt conveyor is determined using conveyor belt simulation software, specifically including: Save the CAD drawing file of the initial running route of the project as a format file that can be called by the conveyor belt simulation software; The conveyor belt simulation software is used to call the callable format file to set the conveyor line parameters; Obtain and input the project's basic parameters and material property parameters; Input the current design parameter set and use conveyor belt simulation software to perform static analysis on the belt conveyor to obtain the static analysis results; the static analysis results include the model and operating parameters of different components in the belt conveyor; Based on the static analysis results, the current overall machine selection result is determined; Based on the target control parameter set, a dynamic verification analysis is performed on the belt conveyor corresponding to the current overall machine selection result to obtain the verification result. Adjust the current design parameter group and return to the step "Input the current design parameter group, use the conveyor belt simulation software to perform static analysis on the belt conveyor and obtain the static analysis results" until the verification result is qualified. Then determine the current whole machine selection result as the whole machine selection result of the belt conveyor.

[0008] Optionally, the callable format is a .dxf file.

[0009] Optionally, the target control parameter set includes: the start-up and braking time and start-up and braking mode of the off-belt conveyor.

[0010] Optionally, the conveyor line parameters include: roller diameter, idler spacing, arc radius, drive roller position, redirecting roller position, output tension, and ribbon pattern; The basic parameters of the project include: belt speed, belt width, conveying capacity, and temperature; Material characteristic parameters include: type, material density, angle of repose, maximum operating tilt angle, effective filling rate, maximum cross-sectional area, different standard cross-sectional areas, actual cross-sectional area, material weight, proportional conveying capacity, edge distance, trough depth, and drop height.

[0011] Optionally, the current design parameter set includes: roller position parameters, conveyor belt parameters, idler roller parameters, tensioning method parameters, arc segment parameters, and drive parameters; The conveyor belt parameters include: conveyor belt type, conveyor belt series, breaking strength, thickness of upper and lower cover rubber, maximum and minimum bandwidth, belt weight, elastic modulus, core layer material, safety factor, maximum and minimum local tension positions, joint dynamic efficiency, length of transition section at the head and tail of the machine, trough depth of idler group, and roller height. The idler roller parameters include: idler roller position, idler roller series, number of idler rollers, idler roller tilt angle, bearing type, idler roller diameter, rotational weight, idler roller speed, rated load, and idler roller life; The tensioning parameters include: belt tension, running sag, effective stroke, and tensioning device type; the tensioning device types include: fixed tensioning, vertical counterweight tensioning, electric winch tensioning, and hydraulic tensioning. The driving parameters include: number of motors, rated power, total power, operating power, power ratio, efficiency, synchronous speed, actual speed, reducer speed ratio, high-speed shaft inertia, rubber coating type, and data type.

[0012] Optionally, based on the overall machine selection results, a belt conveyor model is constructed using AMESim software to determine the dynamic performance simulation results of the belt conveyor under the target control parameter set, specifically including: In the sketch mode library directory of AMESim software, select the components needed to build the belt conveyor model, and build it sequentially based on multiple components according to the assembly drawing of the belt conveyor parts. Switch the AMESim software to sub-model mode and select a sub-model based on the physics model; Switch the AMESim software to parameter mode and set the conveyor line parameters, basic project parameters, material characteristic parameters, and overall machine selection results. Switch the AMESim software to simulation mode, input the target control parameter set, and perform simulation to obtain the dynamic performance simulation results of the belt conveyor under the target control parameter set.

[0013] In a second aspect, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the long-distance belt conveyor control method described in any one of the above.

[0014] Thirdly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the long-distance belt conveyor control method described in any one of the above.

[0015] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides a long-distance belt conveyor control method and equipment. Based on the initial operating route and target control parameter set of the project, the overall selection result of the belt conveyor is determined using conveyor belt simulation software. It can efficiently complete parameter calculation and equipment selection for long-distance belt conveyors before bidding; dynamic verification analysis of the static calculation results identifies erroneous parameters, solving the problem of unreasonable equipment selection under static design; based on the overall selection result, a belt conveyor model is constructed using AMESim software to determine the dynamic performance simulation results of the belt conveyor under the target control parameter set. Based on the parameters that have passed dynamic verification, the dynamic problems of the conveyor (including start-up and braking methods, start-up and braking times, and belt tension, speed, acceleration, and displacement) are analyzed. This enables a controllable drive and braking system to meet the mechanical requirements of the belt conveyor, thereby reducing dynamic tension and conveyor belt vibration, and achieving good dynamic characteristics of the conveyor.

[0016] Interactive equipment selection for long-distance belt conveyors involves inputting initial parameters into Belt Analyst software and following the relevant procedures to obtain design parameters. Then, according to domestic belt conveyor design standards, the "DTⅡ(A) Type Belt Conveyor Design Manual" and "GB 50431-2020 Belt Conveyor Engineering Technical Standard," selection calculations for conveyor system components are performed. Finally, the complete belt conveyor equipment model and related parameters are obtained, completing the interactive equipment selection for long-distance belt conveyors. This efficiently solves the parameter calculation and equipment selection problems during the initial design of long-distance belt conveyors.

[0017] The interactive dynamic characteristic analysis method for long-distance belt conveyors involves, after obtaining the aforementioned parameters, using AMESim software in sketch mode to discretize and model the conveyor by selecting relevant components such as mass elements, mechanical springs, and dampers from the mechanical library, and sinusoidal signal elements, piecewise linear signal elements, and step function signal elements from the signal library. In sub-model mode, the model established in sketch mode is further refined by selecting appropriate models based on the actual physical model. In parameter mode, the element parameters of the established model are set according to the component selection parameters to ensure consistency between calculation and modeling parameters. Finally, in simulation mode, the discretized model of the long-distance belt conveyor established according to the above steps is analyzed for dynamic issues such as start-up and braking methods, start-up and braking times, and the relationship between conveyor belt tension, speed, acceleration, displacement, and time. This completes the interactive dynamic characteristic analysis of the long-distance belt conveyor and solves the dynamic problems caused by the unstable operation of the conveyor system due to dynamic tension during start-up and braking. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments 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.

[0019] Figure 1 This is a flowchart of a long-distance belt conveyor control method according to one embodiment of this application; Figure 2 This is the equipment selection process for a belt conveyor in one embodiment of this application; Figure 3 This is a CAD design drawing of the nose section in one embodiment of this application; Figure 4 This is a CAD design drawing of the tail section in one embodiment of this application; Figure 5 This is a simulation flowchart of one embodiment of this application; Figure 6 This is a schematic diagram of a discretized simulation model of a belt conveyor in one embodiment of this application; Figure 7 This is a schematic diagram of the static calculation results based on Belt Analyst under full load conditions in one embodiment of this application; Figure 8 This is a schematic diagram illustrating the ribbon pattern analysis under the return unloaded condition in one embodiment of this application; Figure 9 This is a schematic diagram of the parameter settings for simulation time and frequency in one embodiment of this application. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0022] In one exemplary embodiment, such as Figure 1 As shown, a long-distance belt conveyor control method is provided, including: Step 101: Obtain the initial running path of the project.

[0023] Step 102: Based on the initial operating route and target control parameter set of the project, determine the overall selection result of the belt conveyor using conveyor simulation software: Belt Analyst. The target control parameter set includes: the start-stop time and start-stop method of the belt conveyor.

[0024] Step 102 specifically includes: Step 102-1: Save the CAD drawing file of the initial running route of the project as a file that can be called by the conveyor belt simulation software. The callable format is .dxf file.

[0025] In Belt Analyst software, the model is built based on the CAD drawing of the initial project route. The .dwg file of the drawing is saved as a .dxf file and can then be imported into Belt Analyst software. Figure 2 The equipment selection can be completed by modeling and calculating the process shown.

[0026] Step 102-2: Use conveyor belt simulation software to call up the callable format file to set the conveyor line parameters. The route diagram for the transition section between the head and tail of the conveyor is as follows: Figure 3 and Figure 4 .

[0027] The parameters of the conveyor line include: roller diameter, idler spacing, arc radius, drive roller position, redirecting roller position, output tension, and ribbon pattern.

[0028] Step 102-3: Obtain and input the basic parameters of the project and the material property parameters.

[0029] The basic parameters of the project include: belt speed, belt width, conveying capacity, and temperature.

[0030] Material characteristic parameters include: type, material density, angle of repose, maximum operating tilt angle, effective filling rate, maximum cross-sectional area, different standard cross-sectional areas, actual cross-sectional area, material weight, proportional conveying capacity, edge distance, trough depth, and drop height.

[0031] Step 102-4: Input the current design parameter set and use conveyor belt simulation software to perform static analysis on the belt conveyor, obtaining the static analysis results. The static analysis results include the models and operating parameters of different components in the belt conveyor. The static calculation results based on Belt Analyst under full load conditions are as follows: Figure 7 Analysis of the ribbon pattern under no-load return conditions, as follows: Figure 8 .

[0032] The current design parameter set includes: roller position parameters, conveyor belt parameters, idler parameters, tensioning method parameters, arc segment parameters, and drive parameters.

[0033] The roller position parameters include: drive roller, head roller, tail roller, tension roller, redirecting roller, and expansion roller.

[0034] Conveyor belt parameters include: conveyor belt type, conveyor belt series, breaking strength, thickness of upper and lower cover rubber, maximum and minimum bandwidth, belt weight, elastic modulus, core material, safety factor, maximum and minimum local tension positions, joint dynamic efficiency, length of transition section at the head and tail of the machine, trough depth of idler group, and roller height.

[0035] The parameters of the idler roller include: idler roller position, idler roller series, number of idler rollers, idler roller tilt angle, bearing type, idler roller diameter, rotational weight, idler roller speed, rated load and idler roller life.

[0036] The tensioning parameters include: belt tension, running sag, effective stroke, and tensioning device type; the tensioning device type includes: fixed tensioning, vertical counterweight tensioning, electric winch tensioning, and hydraulic tensioning.

[0037] Arc segment parameters include two types: vertical arc segments and horizontal arc segments; further subdivided into: different arc segment positions, concave and convex arc segment radii, edge radius, edge tension, center tension, ribbon radius, ribbon height, idler load, recommended maximum idler spacing, etc.

[0038] The driving parameters include: number of motors, rated power, total power, operating power, power ratio, efficiency, synchronous speed, actual speed, reducer speed ratio, high-speed shaft inertia, rubber coating type, and data type.

[0039] Step 102-5: Based on the static analysis results, determine the current overall machine selection result.

[0040] Step 102-6: Based on the target control parameter set, perform dynamic verification analysis on the belt conveyor corresponding to the current overall machine selection result, and obtain the verification results.

[0041] Step 102-7: Adjust the current design parameter group and return to step 102-4 until the verification result is qualified. Then, determine the current overall machine selection result as the overall machine selection result of the belt conveyor.

[0042] Based on the main design parameters, the parameters for the conveyor line, material, conveyor belt, idler rollers, drive, and tensioning device were set. After setting these parameters, the Belt Analyst software was used to perform static analysis calculations on the conveyor system under normal operating conditions to obtain the specific models and operating parameters of different components. Based on these parameters, the selection calculations for the conveyor system components were performed according to the domestic belt conveyor design standards "DTⅡ(A) Type Belt Conveyor Design Manual" and "GB 50431-2020 Belt Conveyor Engineering Technical Standard," ultimately obtaining the model and relevant parameters of the complete belt conveyor. Then, the start-up and braking times and methods were set. Through verification and analysis of parameters such as conveyor motor tension, belt speed, power, torque, slippage, tension, sag, and roller resultant force, the interactive equipment selection for the long-distance belt conveyor was completed after the verification was passed.

[0043] The selection method provided in this application can efficiently complete the parameter calculation and equipment selection of long-distance belt conveyors before bidding; it can verify the initial parameters of the conveyor static calculation and perform dynamic design calculations for the belt conveyor.

[0044] Step 103: Based on the overall machine selection results, use AMESim software to construct a belt conveyor model and determine the dynamic performance simulation results of the belt conveyor under the target control parameter set.

[0045] Dynamic characteristic analysis of long-distance belt conveyors is performed using AMESim software. The modeling and simulation of a belt conveyor using AMESim software involves four stages: sketch mode, sub-model mode, parametric mode, and simulation mode.

[0046] like Figure 5 Step 103 specifically includes: Step 103-1: In the sketch mode library directory of AMESim software, select the components needed to build the belt conveyor model, and build it sequentially based on multiple components according to the assembly drawing of the belt conveyor parts.

[0047] Sketch Mode: In the sketch mode library, select the components needed to build the model, such as mass components, mechanical springs and dampers, rotating load components, ideal pulley components, etc. from the machinery library, and sinusoidal signal components, piecewise linear signal components, step function signal components, etc. from the signal library. Then, assemble these components according to the parts of the belt conveyor shown in the figure to complete the sketch.

[0048] Step 103-2: Switch the AMESim software to sub-model mode and select a sub-model based on the physics model.

[0049] Sub-model mode: After building the system model in sketch mode, select the appropriate model based on the actual physical model in sub-model mode. For modules or parameters that do not need to be set, you can click on the simplest sub-model, and the system will set the most commonly used parameters by default.

[0050] Step 103-3: Switch the AMESim software to parameter mode and set the conveyor line parameters, basic project parameters, material characteristic parameters, and overall machine selection results.

[0051] Parametric Mode: In parametric mode, the parameters calculated earlier are input into the constructed model elements to configure each component. Parametric mode is a crucial part of the entire modeling process; if the model is correct, complete, and can run, the necessary executable file will be automatically generated.

[0052] Step 103-4: Switch the AMESim software to simulation mode, input the target control parameter set to perform simulation, and obtain the dynamic performance simulation results of the belt conveyor under the target control parameter set.

[0053] Simulation Mode: After setting the parameters, enter simulation mode. Before starting the simulation, you need to set the simulation time and frequency. The simulation time is the start-up and braking time of the belt conveyor; the analysis mainly focuses on the simulation results within this time period. The simulation frequency determines the accuracy of the simulation results. The shorter the simulation time interval, the more data, the more accurate the results, and the larger the file size. However, there cannot be no limit, otherwise it will waste time and resources. The parameter settings for simulation time and frequency are as follows: Figure 9 .

[0054] In sketch mode, relevant components such as mass elements, mechanical springs, and damper elements from the mechanical library, as well as sinusoidal signal elements, piecewise linear signal elements, and step function signal elements from the signal library, are selected based on the component drawings of the belt conveyor for discretization modeling. In sub-model mode, the model established in sketch mode is selected according to the actual physical model. In parameter mode, the element parameters of the established model are set according to the component selection parameters mentioned above to ensure that the calculation parameters are consistent with the modeling parameters. Finally, in simulation mode, the discretized model of the long-distance belt conveyor established according to the above steps is as follows. Figure 6 This application provides an interactive dynamic characteristic analysis of a long-distance belt conveyor, combining the dynamic issues exhibited by the belt conveyor during transitions. Based on verified parameters, it performs dynamic characteristic analysis on the long-distance belt conveyor, thereby accurately assessing the reliability of the conveyor belt strength and improving the equipment's safety performance.

[0055] The dynamic design verification and selection method for belt conveyors proposed in this application can perform dynamic verification analysis on the results after static calculations, solving the problems of inefficient conveyor parameter calculation and unreasonable equipment selection. The dynamic characteristic analysis method for belt conveyors proposed in this application can analyze the parameters after dynamic verification based on dynamic issues such as the conveyor's start-up and braking mode, start-up and braking time, and the relationship between conveyor belt tension, speed, acceleration, displacement and time, thereby achieving the goal of improving the safety of conveyor equipment.

[0056] In one exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is connected to the system bus via the I / O interfaces. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The I / O interfaces of the computer device are used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with external terminals via a network connection.

[0057] In one exemplary embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0058] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0059] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0060] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0061] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0062] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0063] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0064] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A long-distance belt conveyor control method, characterized in that, include: Obtain the initial running path of the project; Based on the initial operating route and target control parameter set of the project, the overall selection result of the belt conveyor was determined using conveyor belt simulation software; Based on the overall machine selection results, a belt conveyor model was constructed using AMESim software to determine the dynamic performance simulation results of the belt conveyor under the target control parameter set.

2. The long-distance belt conveyor control method according to claim 1, characterized in that, The conveyor belt simulation software is Belt Analyst.

3. The long-distance belt conveyor control method according to claim 1, characterized in that, Based on the initial operating route and target control parameter set of the project, the overall selection result of the belt conveyor is determined using conveyor belt simulation software, specifically including: Save the CAD drawing file of the initial running route of the project as a format file that can be called by the conveyor belt simulation software; The conveyor belt simulation software is used to call the callable format file to set the conveyor line parameters; Obtain and input the project's basic parameters and material property parameters; Input the current design parameter set and use conveyor belt simulation software to perform static analysis on the belt conveyor to obtain the static analysis results; the static analysis results include the model and operating parameters of different components in the belt conveyor; Based on the static analysis results, the current overall machine selection result is determined; Based on the target control parameter set, a dynamic verification analysis is performed on the belt conveyor corresponding to the current overall machine selection result to obtain the verification result. Adjust the current design parameter group and return to the step "Input the current design parameter group, use the conveyor belt simulation software to perform static analysis on the belt conveyor and obtain the static analysis results" until the verification result is qualified. Then determine the current whole machine selection result as the whole machine selection result of the belt conveyor.

4. The long-distance belt conveyor control method according to claim 3, characterized in that, The callable format is a .dxf file.

5. The long-distance belt conveyor control method according to claim 3, characterized in that, The target control parameter set includes: the start-up and braking time and start-up and braking method of the belt conveyor.

6. The long-distance belt conveyor control method according to claim 3, characterized in that, The conveyor line parameters include: roller diameter, idler spacing, arc radius, drive roller position, redirecting roller position, output tension, and ribbon pattern; The basic parameters of the project include: belt speed, belt width, conveying capacity, and temperature; Material characteristic parameters include: type, material density, angle of repose, maximum operating tilt angle, effective filling rate, maximum cross-sectional area, different standard cross-sectional areas, actual cross-sectional area, material weight, proportional conveying capacity, edge distance, trough depth, and drop height.

7. The long-distance belt conveyor control method according to claim 3, characterized in that, The current design parameter set includes: roller position parameters, conveyor belt parameters, idler parameters, tensioning method parameters, arc segment parameters, and drive parameters; The conveyor belt parameters include: conveyor belt type, conveyor belt series, breaking strength, thickness of upper and lower cover rubber, maximum and minimum bandwidth, belt weight, elastic modulus, core layer material, safety factor, maximum and minimum local tension positions, joint dynamic efficiency, length of transition section at the head and tail of the machine, trough depth of idler group, and roller height. The idler roller parameters include: idler roller position, idler roller series, number of idler rollers, idler roller tilt angle, bearing type, idler roller diameter, rotational weight, idler roller speed, rated load, and idler roller life; The tensioning parameters include: belt tension, running sag, effective stroke, and tensioning device type; the tensioning device types include: fixed tensioning, vertical counterweight tensioning, electric winch tensioning, and hydraulic tensioning. The driving parameters include: number of motors, rated power, total power, operating power, power ratio, efficiency, synchronous speed, actual speed, reducer speed ratio, high-speed shaft inertia, rubber coating type, and data type.

8. The long-distance belt conveyor control method according to claim 1, characterized in that, Based on the overall machine selection results, a belt conveyor model was constructed using AMESim software. The simulation results of the dynamic performance of the belt conveyor under the target control parameter set were determined, specifically including: In the sketch mode library directory of AMESim software, select the components needed to build the belt conveyor model, and build it sequentially based on multiple components according to the assembly drawing of the belt conveyor parts. Switch the AMESim software to sub-model mode and select a sub-model based on the physics model; Switch the AMESim software to parameter mode and set the conveyor line parameters, basic project parameters, material characteristic parameters, and overall machine selection results. Switch the AMESim software to simulation mode, input the target control parameter set, and perform simulation to obtain the dynamic performance simulation results of the belt conveyor under the target control parameter set.

9. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the long-distance belt conveyor control method according to any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the computer program implements the long-distance belt conveyor control method as described in any one of claims 1-8.

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