Method and device for simulating a bulk material parabolic trajectory of a belt conveyor

Abstract

The application relates to a simulation method of a belt conveyor bulk material parabolic trajectory, and particularly relates to the technical field of data communication. The method comprises the following steps: acquiring a first change angle and a second change angle; the first change angle is used for indicating the change of the belt surface angle caused by the transition of the belt conveyor from a trough type to a horizontal type; the second change angle is used for indicating the change value of the bulk material parabolic angle caused by the sag of the belt conveyor head transition section; the initial parabolic angle of the belt conveyor is calibrated according to the first change angle and the second change angle, so that a corrected parabolic angle is obtained; and the corrected parabolic angle is brought into the bulk material parabolic curve algorithm of the CEMA standard, so that a target corrected trajectory is obtained. Through the above scheme, the consistency between the simulated bulk material parabolic curve and the actual working condition can be ensured under the premise of small calculation resource consumption.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, in particular to a method and device for simulating the parabolic trajectory of bulk material on a belt conveyor. BACKGROUND

[0002] With the increasing emphasis on dust emission in the production environment, the design of the head discharge point of the belt conveyor pays more attention to dust suppression, and the streamlined discharge point has been used as a general design standard for belt conveyors.

[0003] The path of bulk material after being discharged from the head roller of the belt conveyor is a parabolic trajectory of the material flow, which is the basis for the design of the funnel and flow guide baffle at the head of the belt conveyor. Therefore, the parabolic trajectory of the material flow should be accurately predicted as much as possible. The existing calculation method for the parabolic trajectory of bulk material generally refers to the CEMA (Conveyor Equipment Manufacturers Association) standard for calculation, or uses DEM discrete element simulation software for bulk material simulation. The parabolic trajectory obtained by the CMEA standard simulation is not consistent, while the parabolic trajectory obtained by the DEM discrete element simulation software is relatively consistent compared with the CEMA, but the modeling requires a large amount of computer resources and time. For example, for the existing mainstream DEM software, it takes half a day to calculate the parabolic trajectory of bulk material for 1 second on a server-level computer.

[0004] Therefore, there is an urgent need for a parabolic trajectory simulation method that can spend less computing resources and ensure that the simulated parabolic trajectory of bulk material has good consistency. SUMMARY

[0005] The present application provides a method and device for simulating the parabolic trajectory of bulk material on a belt conveyor, which can ensure that the simulated parabolic trajectory of bulk material has good consistency with the actual working condition under the premise of spending less computing resources. The technical solution is as follows.

[0006] In one aspect, a method for simulating the parabolic trajectory of bulk material on a belt conveyor is provided, the method comprising:

[0007] obtaining a first change angle and a second change angle; the first change angle is used to indicate the change of the belt surface angle caused by the transition of the belt conveyor from the trough type to the horizontal; the second change angle is used to indicate the change value of the material flow projection angle caused by the sag of the head transition section of the belt conveyor;

[0008] calibrating the initial projection angle of the belt conveyor according to the first change angle and the second change angle to obtain a corrected projection angle;

[0009] bringing the corrected projection angle into the CEMA standard material projection curve algorithm to obtain a target corrected trajectory.

[0010] In yet another aspect, there is provided a simulation device for a belt conveyor parabolic trajectory, the device comprising:

[0011] a change angle obtaining module configured to obtain a first change angle and a second change angle, the first change angle being indicative of a change in belt surface angle caused by a trough to horizontal transition of the belt conveyor, the second change angle being indicative of a change in parabolic trajectory angle caused by sag of the belt at a head transition section of the belt conveyor;

[0012] a trajectory angle correction module configured to correct an initial trajectory angle of the belt conveyor based on the first change angle and the second change angle to obtain a corrected trajectory angle;

[0013] a corrected trajectory obtaining module configured to input the corrected trajectory angle into a CEMA standard parabolic trajectory algorithm to obtain a target corrected trajectory.

[0014] In one possible implementation, the corrected trajectory obtaining module is further configured to,

[0015] obtain an upper limit coordinate and a lower limit coordinate of the belt conveyor parabolic trajectory;

[0016] input the upper limit coordinate and the lower limit coordinate of the belt conveyor parabolic trajectory and the corrected trajectory angle into the CEMA standard parabolic trajectory algorithm to obtain the target corrected trajectory.

[0017] In one possible implementation, the corrected trajectory obtaining module is further configured to obtain a material particle size of the material conveyed by the belt conveyor;

[0018] obtain an initial upper limit coordinate and an initial lower limit coordinate corresponding to the belt conveyor parabolic trajectory;

[0019] correct the initial upper limit coordinate and the initial lower limit coordinate based on the material particle size to obtain the upper limit coordinate and the lower limit coordinate of the belt conveyor parabolic trajectory.

[0020] In one possible implementation, the corrected trajectory obtaining module is further configured to determine a material radius of the material conveyed by the belt conveyor based on the material particle size;

[0021] determine a difference between the initial upper limit coordinate and the material radius as the upper limit coordinate of the belt conveyor parabolic trajectory;

[0022] determine a sum of the initial lower limit coordinate and the material radius as the lower limit coordinate of the belt conveyor parabolic trajectory.

[0023] In a possible implementation, the modified trajectory obtaining module is further configured to: input the upper limit coordinate of the throwing of the bulk material parabola of the belt conveyor, the lower limit coordinate of the throwing, and the modified throwing angle into a throwing curve algorithm of the CEMA standard to obtain a first modified trajectory;

[0024] The coordinates of each point in the first modified trajectory are modified based on the material particle size of the conveyed material and an angle between an instantaneous speed of each point in the first modified trajectory and a horizontal tangent to obtain the target modified trajectory.

[0025] In a possible implementation, the first modified trajectory includes first modified upper limit points and first modified lower limit points. The modified trajectory obtaining module is further configured to: obtain an upper limit correction value of each point in the first modified upper limit points based on the material particle size of the conveyed material and an angle between an instantaneous speed of each point in the first modified upper limit points and a horizontal tangent.

[0026] Obtain a lower limit correction value of each point in the first modified lower limit points based on the material particle size of the conveyed material and an angle between an instantaneous speed of each point in the first modified lower limit points and a horizontal tangent.

[0027] The coordinates of the first modified upper limit points are corrected based on the upper limit correction value, and the coordinates of the first modified lower limit points are corrected based on the lower limit correction value to obtain the target modified trajectory.

[0028] In a possible implementation, the change angle obtaining module is further configured to: obtain a roller width of a carrier roller in the belt conveyor and a belt machine trough angle of the belt conveyor.

[0029] Obtain the first change angle according to a product of a sine value of the belt machine trough angle and the roller width of the carrier roller.

[0030] Obtain a transition section belt sag height of the belt conveyor and a transition section carrier roller spacing of the belt conveyor.

[0031] Determine a second change angle as an inverse sine value of a ratio of the transition section belt sag height to the transition section carrier roller spacing.

[0032] In another aspect, a computer device is provided, which includes a processor and a memory. The memory stores at least one instruction, which is loaded and executed by the processor to implement the above-described method for simulating a bulk material throwing trajectory of a belt conveyor.

[0033] In yet another aspect, a computer readable storage medium is provided, the storage medium having stored therein at least one instruction, the at least one instruction being loaded and executed by a processor to implement the above-mentioned method for simulating a parabolic trajectory of bulk material on a belt conveyor.

[0034] In yet another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the above-mentioned method for simulating a parabolic trajectory of bulk material on a belt conveyor.

[0035] The technical solutions provided in the present application can include the following beneficial effects:

[0036] In the simulation of the parabolic trajectory, the computer device can first obtain the change value of the belt surface angle caused by the transition of the belt conveyor from the trough type to the horizontal and the change value of the material flow projection angle caused by the sag of the belt at the head transition section of the belt conveyor, and calibrate the initial projection angle of the belt conveyor according to the above-mentioned angle change value to obtain a corrected projection angle. At this time, the corrected projection angle is brought into the CMEA standard material throwing curve algorithm to obtain the corrected target trajectory. In the above-mentioned solution, the influence of the change of the belt angle of the belt conveyor on the projection angle during the transmission of the material is further considered on the basis of the CMEA standard material throwing curve algorithm, so that the corrected projection angle in the simulation is more consistent with the projection angle in the actual running scenario. Without modeling through the DEM software, the accuracy of the simulation of the bulk material parabolic curve is improved as much as possible through the correction of the angle, so that the consistency of the simulated bulk material parabolic curve is better under the premise of spending less computing resources. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the specific embodiments or prior art of the present application, the drawings needed in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0038] Figure 1 is a structural schematic diagram of a parabolic trajectory simulation system according to an exemplary embodiment.

[0039] Figure 2 is a method flowchart of a method for simulating a parabolic trajectory of bulk material on a belt conveyor according to an exemplary embodiment.

[0040] Figure 3 FIG. 10 is a method flowchart of a method for simulating a parabolic trajectory of bulk material of a belt conveyor according to an example embodiment.

[0041] Figure 4 FIG. 11 shows a simulation diagram of a parabolic trajectory of bulk material of a belt conveyor according to an example embodiment.

[0042] Figure 5 FIG. 12 shows a simulation device of a parabolic trajectory of bulk material of a belt conveyor according to an example embodiment.

[0043] Figure 6 FIG. 13 is a schematic diagram of a computer device according to an example embodiment. DETAILED DESCRIPTION

[0044] The technical solutions of the present application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0045] It should be understood that the "indication" mentioned in the embodiments of the present application can be direct indication, indirect indication, or can be an indication of an associated relationship. For example, A indicates B, which can mean that B can be obtained by A; or it can mean that A indirectly indicates B, for example, A indicates C, and B can be obtained by C; or it can mean that A and B have an associated relationship.

[0046] In the description of the embodiments of the present application, the term "corresponding" can mean a direct or indirect corresponding relationship between the two, or can mean an associated relationship between the two, or can mean an indication and being indicated, configuration and being configured, etc.

[0047] In the embodiments of the present application, "predefined" can be realized by pre-saving corresponding codes, tables or other means for indicating related information in devices (such as terminal devices and network devices), and the specific implementation manner of the present application is not limited.

[0048] Figure 1 FIG. 14 is a structural schematic diagram of a parabolic trajectory simulation system according to an example embodiment. The system at least includes a computer device 110.

[0049] Optionally, the computer device 110 can be any one of a terminal device and a server; similarly, the computer device 120 can also be any one of a terminal device and a server.

[0050] Optionally, the computer device 110 runs an application program, which can call the communication component (such as a network card, etc.) of the computer device to realize communication with other computer devices (such as the computer device 120).

[0051] For example, the application program running in the computer device 110 can be a simulation modeling software, which can simulate modeling according to the parameters of the belt conveyor input by the user.

[0052] Optionally, the user can also select the running environment of the belt conveyor in the application program, for example, select the transmission speed of the belt conveyor and the granularity of the objects to be transmitted, and the application program will simulate the object transmission according to the data input by the user, so as to simulate the parabolic trajectory of the belt conveyor for bulk material.

[0053] Optionally, the computer device 110 can be a server, and the application program can be a server program running in the server. The user can input the parameters of the belt conveyor to be simulated and the running environment of the belt conveyor in the client program deployed in the terminal, and the client program sends the information to the server for simulation calculation, so as to obtain the parabolic trajectory formed by the belt conveyor for conveying bulk material under the specified running environment.

[0054] Optionally, the terminal device described above can be a terminal device with data processing function and data storage function, which can include one terminal or multiple terminals, and the number of terminals is not limited in the embodiments of the present application. The terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc. with data processor and data storage component, but is not limited thereto.

[0055] Optionally, the cloud server can be a cloud server providing basic computing services such as cloud service, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, CDN, and big data and artificial intelligence platform, etc.

[0056] Optionally, the cloud server 110 and the terminal 120 can be connected through a communication network. Optionally, the communication network can be a wired network or a wireless network.

[0057] Optionally, the wireless or wired networks described above use standard communications technologies and / or protocols. The network can be implemented using a wide variety of technologies including, but not limited to, wireless technologies, wired technologies, or any combination thereof. In some embodiments, technologies and / or formats including hypertext markup language, extensible markup language, and the like are used to represent data exchanged over the network. Additionally, conventional encryption technologies such as secure sockets layer, transport layer security, virtual private networks, internet protocol security, and the like can be used to encrypt all or some of the links. In other embodiments, custom and / or proprietary data communications technologies can be used in place of or in combination with the above-described data communications technologies.

[0058] Figure 2 is a method flowchart of a method for simulating a belt conveyor bulk material parabolic trajectory according to an example embodiment. The method is performed by a computer device, which can be the computer device 110 in the computer system as shown in Figure 1 . As shown in Figure 2 , the method for simulating a belt conveyor bulk material parabolic trajectory can include the following steps:

[0059] Step 201, obtaining a first change angle and a second change angle; the first change angle is used to indicate the change of the belt surface angle caused by the transition of the belt conveyor from a trough to a horizontal state; the second change angle is used to indicate the change value of the parabolic angle of the material flow caused by the sag of the head section of the belt conveyor.

[0060] In a possible implementation manner of the embodiment, before simulating the bulk material parabolic trajectory of the belt conveyor, a developer can input the parameters of the belt conveyor into the computer device, so that the computer device simulates the bulk material parabolic trajectory according to the parameters of the belt conveyor input by the developer.

[0061] In the existing CEMA standard, when the bulk material parabolic trajectory of the belt conveyor needs to be simulated, the existing parabolic equation is usually used, the included angle between the outlet of the belt conveyor and the horizontal line is taken as the parabolic angle, and the conveying speed of the belt conveyor is taken as the parabolic speed of the object, so as to realize the curve simulation of the bulk material parabolic trajectory. However, in the above-mentioned existing CEMA standard, the parameter deviation (for example, the angle deviation) of the belt conveyor in the actual process is not actually considered, and therefore the accuracy of the parabolic trajectory simulated by the CEMA standard is low.

[0062] In the embodiment of the present application, the developer can first determine the specific parameters of the belt conveyor to be simulated (for example, the parameters can be directly designed by the developer according to production requirements, or the parameters can be directly measured by the developer for the belt conveyor to be simulated), and then input the specific parameters into the computer device. At this time, the computer device determines the first change angle and the second change angle of the belt conveyor when the parameters are obtained.

[0063] In the embodiment of the present application, the first change angle is used to indicate the change of the belt surface angle caused by the transition of the belt conveyor from a trough type to a horizontal type. That is, the belt surface of the head transition section of the belt conveyor is transitioned from a trough type to a horizontal type, and the change of the angle will affect the projection angle of the material.

[0064] In the embodiment of the present application, the second change angle is used to indicate the change value of the material flow projection angle caused by the sag of the belt of the head transition section of the belt conveyor. That is, in the actual process, the belt of the head transition section of the belt conveyor may sag, and the sag angle of the belt will also affect the actual projection angle of the material.

[0065] Step 202, calibrate the initial projection angle of the belt conveyor bulk material projection according to the first change angle and the second change angle to obtain a corrected projection angle.

[0066] After the first change angle and the second change angle are obtained, the initial projection angle of the belt conveyor bulk material projection can be calibrated according to the first change angle and the second change angle, so that the corrected projection angle takes into account the change of the material flow projection angle caused by the sag of the belt of the head transition section of the belt conveyor and the change of the belt surface angle caused by the transition of the belt conveyor from a trough type to a horizontal type.

[0067] Further, since the first change angle and the second change angle will cause the actual projection angle of the belt conveyor bulk material projection to be higher than the theoretical projection angle, the corrected projection angle can be the sum of the initial projection angle, the first change angle and the second change angle.

[0068] Step 203, bring the corrected projection angle into the CEMA standard projection curve algorithm to obtain a target corrected trajectory.

[0069] After the corrected projection angle is obtained, the corrected projection angle can be brought into the CEMA standard projection curve algorithm. At this time, since the corrected projection angle is closer to the actual projection angle than the theoretical initial projection angle, the target corrected trajectory obtained based on the corrected projection angle and the CEMA standard projection curve algorithm is more accurate than the projection trajectory directly calculated by the CEMA standard.

[0070] In summary, when simulating a parabolic trajectory, the computer equipment can first obtain the changes in belt surface angle caused by the transition of the belt conveyor from a trough to a horizontal position, as well as the changes in the material flow projection angle caused by the sagging of the belt at the head of the conveyor. Based on these angle changes, the initial projection angle of the belt conveyor is calibrated to obtain a corrected projection angle. This corrected projection angle is then input into the CMEA standard projection curve algorithm to obtain the corrected target trajectory. In this scheme, based on the CMEA standard projection curve algorithm, the influence of the belt angle change during material transport on the projection angle is further considered. This makes the corrected projection angle in the simulation more closely match the projection angle in the actual operating scenario. Without using DEM software modeling, the accuracy of the bulk material parabolic curve simulation is improved as much as possible through angle correction, thus requiring less computational resources and ensuring good consistency between the simulated bulk material parabolic curve and the actual working conditions.

[0071] Figure 3 This is a flowchart illustrating a method for simulating the parabolic trajectory of bulk materials on a belt conveyor, according to an exemplary embodiment. The method is executed by a computer device, which may be, for example... Figure 1 Computer device 110 in the computer system shown. (As shown) Figure 2 As shown, the simulation method for the parabolic trajectory of bulk materials on a belt conveyor may include the following steps:

[0072] Step 301: Obtain the first change angle and the second change angle.

[0073] In one possible implementation, the width of the middle roller of the idler in the belt conveyor and the belt groove angle in the belt conveyor are obtained; the first change angle is obtained based on the product of the sine value of the belt groove angle and the width of the middle roller of the idler; the sag height of the transition section belt in the belt conveyor and the spacing of the transition section idler in the belt conveyor are obtained; the arcsine value of the ratio of the sag height of the transition section belt to the spacing of the transition section idler is determined as the second change angle.

[0074] Please refer to Figure 4 This illustration shows a simulated schematic diagram of a bulk material parabolic trajectory on a belt conveyor, according to an embodiment of this application. Figure 4 As shown, Figure 4 As shown, the conveyor belt of this belt conveyor includes a standard section A and a transition section B. In the actual material transfer process, due to the weight of the material and the belt, the belt will sag in both the standard section A and the transition section B. However, the belt sag generated in the standard section A will not affect the final material ejection, so it can be temporarily ignored.

[0075] However, the sag of the belt will affect the throwing angle of the material during the transition section, so in the embodiment of the present application, in order to obtain the angle, the sag height h of the belt in the transition section and the distance a between the rollers in the transition section (approximately equal to the length of the transition section) of the belt conveyor need to be measured, and the inverse sine value of the ratio of the sag height of the transition section to the distance between the rollers (that is, the second change angle λ2 = arctan (2h / a)) can represent the change value of the throwing angle of the material flow caused by the sag of the belt in the transition section of the head of the belt conveyor.

[0076] The belt surface of the transition section of the head of the belt conveyor is transitioned from a trough to a horizontal, which causes the change of the belt surface angle, and at this time the first change angle λ1 = Bc x sin (β) / 3, in degrees. Wherein Bc is the width of the roller, in meters, and β is the trough angle of the belt conveyor, in degrees. c

[0077] Step 302, calibrate the initial throwing angle of the bulk material of the belt conveyor according to the first change angle and the second change angle, and obtain the corrected throwing angle.

[0078] At this time, the throwing angle of the material after correction is α + λ1 + λ2, wherein α is the initial throwing angle of the bulk material of the belt conveyor.

[0079] Step 303, obtain the upper limit coordinate and the lower limit coordinate of the throwing of the bulk material of the belt conveyor.

[0080] In one possible implementation, the particle size of the material conveyed by the belt conveyor is obtained, the initial upper limit coordinate and the initial lower limit coordinate corresponding to the bulk material of the belt conveyor are obtained, and the initial upper limit coordinate and the initial lower limit coordinate are corrected according to the particle size of the material to obtain the upper limit coordinate and the lower limit coordinate of the throwing of the bulk material of the belt conveyor.

[0081] In the embodiment of the present application, the computer device can also consider the particle size of the material when simulating the bulk material throwing curve. For example, the trajectories formed by throwing small-radius objects (such as grains) and large-radius objects (such as ores) by the belt conveyor are obviously different.

[0082] At this time, the developer can input the particle size of the material conveyed by the belt conveyor into the computer device, and the computer device corrects the initial upper limit coordinate and the initial lower limit coordinate when throwing the object by the belt conveyor according to the particle size of the material conveyed.

[0083] ​The initial upper limit coordinate and the initial lower limit coordinate of the belt conveyor when throwing the object can be determined according to the parameters of the belt conveyor, that is, according to the position of the belt conveyor, the angle between the belt conveyor and the horizontal plane, so that the initial upper limit coordinate and the initial lower limit coordinate of the belt conveyor when throwing the object can be determined.

[0084] In a possible implementation, the material radius of the belt conveyor conveying the material is determined according to the material granularity; the difference between the initial upper limit coordinate and the material radius is determined as the upper limit coordinate of the belt conveyor when throwing; and the sum of the initial lower limit coordinate and the material radius is determined as the lower limit coordinate of the belt conveyor when throwing.

[0085] At this time, the computer device further corrects the initial upper limit coordinate and the initial lower limit coordinate according to the material granularity Φ, to obtain the corrected upper limit coordinate (x u , y u -Φ / 2) and the corrected lower limit coordinate (x d , y d +Φ / 2) of the belt conveyor when throwing the material.

[0086] In step 304, the upper limit coordinate and the lower limit coordinate of the belt conveyor when throwing the material, and the corrected throwing angle are input into the throwing curve algorithm of the CEMA standard, to obtain the target corrected trajectory.

[0087] In the embodiment of the present application, when the throwing trajectory is simulated by the throwing curve algorithm of the CEMA standard, the upper limit coordinate and the lower limit coordinate of the belt conveyor when throwing the material also need to be input, and based on the upper limit coordinate of the belt conveyor and the horizontal velocity of the thrown material, the upper limit trajectory of the belt conveyor can be determined; and based on the lower limit coordinate of the belt conveyor and the horizontal velocity of the thrown material, the lower limit trajectory of the belt conveyor can be determined.

[0088] The trajectory formed by the upper limit trajectory and the lower limit trajectory can be determined as the target corrected trajectory.

[0089] Further, after the upper limit trajectory and the lower limit trajectory are determined, the upper limit trajectory and the lower limit trajectory can be further corrected according to the material granularity, to obtain the target corrected trajectory.

[0090] In a possible implementation, the upper limit coordinate and the lower limit coordinate of the belt conveyor when throwing, and the corrected throwing angle are input into the throwing curve algorithm of the CEMA standard, to obtain a first corrected trajectory; and based on the material granularity of the conveyed material and the angle between the instantaneous velocity of each point in the first corrected trajectory and the horizontal tangent, the coordinates of each point in the first corrected trajectory are corrected, to obtain the target corrected trajectory.

[0091] Further, the first modified trajectory includes respective first modified upper limit points and first modified lower limit points;

[0092] Based on the material particle size of the conveying material and the angle between the instantaneous speed of each point in the first modified upper limit point and the horizontal tangent, an upper limit correction value of each point in the first modified upper limit point is obtained;

[0093] Based on the material particle size of the conveying material and the angle between the instantaneous speed of each point in the first modified lower limit point and the horizontal tangent, a lower limit correction value of each point in the first modified lower limit point is obtained;

[0094] Based on the upper limit correction value, the coordinates of the first modified upper limit point are corrected, and based on the lower limit correction value, the coordinates of the first modified lower limit point are corrected, to obtain the target modified trajectory.

[0095] That is, after the first modified trajectory is obtained by bringing the modified projection angle, the projection upper limit coordinates, and the projection lower limit coordinates into the projection curve algorithm of the existing CEMA standard, the upper and lower limit curve coordinates need to be corrected again. The upper limit coordinates of the material after projection are corrected to (x u +Φ / 2×cosθ, y u +Φ / 2×sinθ), and the lower limit coordinates are corrected to (x u -Φ / 2×cosθ, y u -Φ / 2×sinθ), where θ is the angle between the instantaneous speed of the material and the horizontal line, in degrees.

[0096] As Figure 4 shown, in the parabolic trajectory obtained by the existing CEMA standard algorithm, the parabolic upper limit is L2 and the parabolic lower limit is L1. After the above scheme is used, the parabolic upper limit is L4 and the parabolic lower limit is L3 after the parabolic upper limit and the parabolic lower limit are corrected based on the existing CEMA standard projection curve algorithm and by correcting the projection angle and the material particle size.

[0097] In summary, in the implementation of the simulation of the parabolic trajectory, the computer device can first acquire the change value of the belt surface angle caused by the transition of the belt conveyor from the trough type to the horizontal and the change value of the material flow projection angle caused by the sag of the belt at the head transition section of the belt conveyor, and calibrate the initial projection angle of the belt conveyor according to the above change value to obtain a corrected projection angle. At this time, the corrected projection angle is brought into the CMEA standard material projection curve algorithm to obtain the corrected target corrected trajectory. In the above scheme, on the basis of the CMEA standard material projection curve algorithm, the influence of the change of the belt angle of the belt conveyor on the projection angle during the transmission of the material is further considered, so that the corrected projection angle in the simulation is more consistent with the projection angle in the actual running scene. Without modeling through the DEM software, the accuracy of the simulation of the bulk material parabolic curve is improved as much as possible, so that the simulation of the bulk material parabolic curve can be performed with less computing resources, and the consistency between the simulated bulk material parabolic curve and the actual working condition is good.

[0098] Please refer to Figure 5 which shows a simulation device of a bulk material parabolic trajectory of a belt conveyor related to the embodiments of the present application, and the device comprises:

[0099] The change angle acquisition module 501 is configured to acquire a first change angle and a second change angle. The first change angle is used to indicate the change of the belt surface angle caused by the transition of the belt of the belt conveyor from the trough type to the horizontal. The second change angle is used to indicate the change value of the material flow projection angle caused by the sag of the belt at the head transition section of the belt conveyor.

[0100] The projection angle correction module 502 is configured to calibrate the initial projection angle of the belt conveyor according to the first change angle and the second change angle to obtain a corrected projection angle.

[0101] The corrected trajectory acquisition module 503 is configured to bring the corrected projection angle into the CEMA standard material projection curve algorithm to obtain a target corrected trajectory.

[0102] In a possible implementation manner, the corrected trajectory acquisition module is further configured to,

[0103] acquire the upper limit coordinate and the lower limit coordinate of the belt conveyor bulk material parabolic projection;

[0104] bring the upper limit coordinate and the lower limit coordinate of the belt conveyor bulk material parabolic projection and the corrected projection angle into the CEMA standard material projection curve algorithm to obtain the target corrected trajectory.

[0105] In a possible implementation manner, the corrected trajectory acquisition module is further configured to acquire the material granularity of the material transmitted by the belt conveyor.

[0106] According to the initial upper limit coordinate and the initial lower limit coordinate corresponding to the bulk material parabolic trajectory of the belt conveyor;

[0107] According to the material granularity, the initial upper limit coordinate and the initial lower limit coordinate are corrected to obtain the upper limit coordinate and the lower limit coordinate of the bulk material parabolic trajectory of the belt conveyor.

[0108] In a possible implementation, the corrected trajectory acquisition module is further configured to determine a material radius of the material transported by the belt conveyor according to the material granularity;

[0109] The difference between the initial upper limit coordinate and the material radius is determined as the upper limit coordinate of the bulk material parabolic trajectory of the belt conveyor;

[0110] The sum of the initial lower limit coordinate and the material radius is determined as the lower limit coordinate of the bulk material parabolic trajectory of the belt conveyor.

[0111] In a possible implementation, the corrected trajectory acquisition module is further configured to input the upper limit coordinate, the lower limit coordinate and the corrected parabolic angle of the bulk material parabolic trajectory of the belt conveyor into the bulk material parabolic trajectory calculation algorithm of the CEMA standard to obtain a first corrected trajectory;

[0112] Based on the material granularity of the transported material and the angle between the instantaneous speed of each point in the first corrected trajectory and the horizontal tangent, the coordinates of each point in the first corrected trajectory are corrected to obtain the target corrected trajectory.

[0113] In a possible implementation, the first corrected trajectory includes first corrected upper limit points and first corrected lower limit points; the corrected trajectory acquisition module is further configured to obtain an upper limit correction value of each point in the first corrected upper limit points based on the material granularity of the transported material and the angle between the instantaneous speed of each point in the first corrected upper limit points and the horizontal tangent;

[0114] obtain a lower limit correction value of each point in the first corrected lower limit points based on the material granularity of the transported material and the angle between the instantaneous speed of each point in the first corrected lower limit points and the horizontal tangent;

[0115] The coordinates of the first corrected upper limit points are corrected based on the upper limit correction value, and the coordinates of the first corrected lower limit points are corrected based on the lower limit correction value to obtain the target corrected trajectory.

[0116] In a possible implementation, the change angle acquisition module is further configured to acquire a roller width of a roller in the belt conveyor and a belt trough angle of the belt conveyor.

[0117] According to the product of the sine value of the belt conveyor groove angle and the roller width, the first change angle is obtained;

[0118] The transition section belt sag height in the belt conveyor and the transition section roller spacing in the belt conveyor are obtained.

[0119] The inverse sine value of the ratio of the transition section belt sag height and the transition section roller spacing is determined as the second change angle.

[0120] In summary, in the implementation of the simulation of the parabolic trajectory, the computer device can first obtain the change value of the belt surface angle caused by the transition of the belt conveyor from the groove type to the horizontal and the change value of the projectile angle caused by the transition section belt sag of the head section of the belt conveyor, and calibrate the initial projectile angle of the belt conveyor according to the above angle change value to obtain the corrected projectile angle. At this time, the corrected projectile angle is brought into the CMEA standard material throwing curve algorithm, so as to obtain the corrected target trajectory. In the above scheme, on the basis of the CMEA standard material throwing curve algorithm, the influence of the change of the belt angle of the belt conveyor on the projectile angle in the process of conveying the material is further considered, so that the corrected projectile angle in the simulation is more consistent with the projectile angle in the actual running scene. Without modeling through the DEM software, the accuracy of the simulation of the bulk material parabolic curve is improved as much as possible through the correction of the angle, so that the calculation resources can be saved, and the consistency between the simulated bulk material parabolic curve and the actual working condition is good.

[0121] Please refer to Figure 6 According to an exemplary embodiment of the present application, a computer device schematic diagram is provided, the computer device includes a memory and a processor, the memory is used to store a computer program, and the computer program is executed by the processor to implement the above method.

[0122] The processor can be a central processing unit (CPU). The processor can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. chips, or combinations of the above various types of chips.

[0123] The memory, as a non-transitory computer readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the method in the embodiments of the present application. The processor executes various functions and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory, that is, implements the method in the above-mentioned method embodiments.

[0124] The memory can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; and the data storage area can store data created by the processor and the like. In addition, the memory can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory can optionally include a memory remotely arranged with respect to the processor, and these remote memories can be connected to the processor through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0125] In an exemplary embodiment, a computer readable storage medium for storing at least one computer program is also provided, the at least one computer program is loaded and executed by the processor to implement all or part of the steps of the above-mentioned method. For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), a magnetic tape, a floppy disk and an optical data storage device, etc.

[0126] In an exemplary embodiment, a computer program product or computer program is also provided, the computer program product or computer program includes computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes all or part of the steps of the above-mentioned method. Figure 2 or Figure 3 all or part of the steps of the method shown in any embodiment.

[0127] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the specification and examples be considered as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0128] It is to be understood that the application is not limited to the precise construction herein disclosed and shown in the drawings, and that various changes in shape, size and arrangements of parts can be made without departing from the scope of the application. The scope of the application is limited only by the claims that follow.

Claims

1. A method for simulating the parabolic trajectory of bulk materials on a belt conveyor, characterized in that, The method includes: Obtain a first change angle and a second change angle; the first change angle is used to indicate the change in belt surface angle caused by the transition of the belt of the belt conveyor from a trough shape to a horizontal shape; the second change angle is used to indicate the change in the material flow projection angle caused by the sag of the belt in the head transition section of the belt conveyor. The initial projection angle of the belt conveyor is calibrated based on the first and second change angles to obtain the corrected projection angle; The corrected launch angle is then input into the CEMA standard's projectile curve algorithm to obtain the target corrected trajectory.

2. The method according to claim 1, characterized in that, The step of incorporating the corrected launch angle into the CEMA standard launch curve algorithm to obtain the target corrected trajectory includes: Obtain the upper and lower coordinates of the ejection limit of the bulk material from the belt conveyor. The upper and lower limits of the ejection coordinates of the bulk material ejected by the belt conveyor, along with the corrected ejection angle, are input into the ejection curve algorithm of the CEMA standard to obtain the target corrected trajectory.

3. The method according to claim 2, characterized in that, The process of obtaining the upper and lower coordinates of the ejection limit of the bulk material from the belt conveyor includes: Obtain the particle size of the material being conveyed by the belt conveyor; Based on the initial upper limit coordinates and initial lower limit coordinates corresponding to the bulk material parabolic trajectory of the belt conveyor; Based on the particle size of the material, the initial upper limit coordinates and the initial lower limit coordinates are corrected to obtain the upper limit coordinates and the lower limit coordinates of the material ejection from the belt conveyor.

4. The method according to claim 3, characterized in that, The step of correcting the initial upper limit coordinate and the initial lower limit coordinate based on the material particle size to obtain the upper limit coordinate and the lower limit coordinate of the belt conveyor for ejection includes: The material radius of the material conveyed by the belt conveyor is determined based on the material particle size. The difference between the initial upper limit coordinate and the material radius is determined as the upper limit coordinate of the material ejection from the belt conveyor. The sum of the initial lower limit coordinates and the material radius is determined as the lower limit coordinates for the ejection of the bulk material parabola by the belt conveyor.

5. The method according to claim 3, characterized in that, The upper and lower limits of the ejection height of the belt conveyor, along with the corrected ejection angle, are input into the CEMA standard ejection curve algorithm to obtain the target corrected trajectory, including: The upper and lower coordinates of the material ejection limit and the corrected ejection angle of the belt conveyor are substituted into the ejection curve algorithm of the CEMA standard to obtain the first corrected trajectory. Based on the particle size of the transported material and the angle between the instantaneous velocity of each point in the first corrected trajectory and the horizontal tangent, the coordinates of each point in the first corrected trajectory are corrected to obtain the target corrected trajectory.

6. The method according to claim 5, characterized in that, The first correction trajectory includes each first correction upper limit point and a first correction lower limit point; Based on the particle size of the transported material and the angle between the instantaneous velocity of each point in the first corrected trajectory and the horizontal tangent, the coordinates of each point in the first corrected trajectory are corrected to obtain the target corrected trajectory, including: Based on the particle size of the transported material and the angle between the instantaneous velocity of each point in the first correction upper limit point and the horizontal tangent, the upper limit correction value of each point in the first correction upper limit point is obtained. Based on the particle size of the transported material and the angle between the instantaneous velocity of each point in the first correction lower limit point and the horizontal tangent, the lower limit correction value of each point in the first correction lower limit point is obtained. The coordinates of the first correction upper limit point are corrected based on the upper limit correction value, and the coordinates of the first correction lower limit point are corrected based on the lower limit correction value to obtain the target correction trajectory.

7. The method according to any one of claims 1 to 6, characterized in that, The acquisition of the first change angle and the second change angle includes: Obtain the width of the idler roller in the belt conveyor and the trough angle of the belt conveyor. The first change angle is obtained based on the sine value of the trough angle of the conveyor belt and the product of the width of the middle roller of the idler roller; Obtain the belt sag height in the transition section of the belt conveyor, and the idler spacing in the transition section of the belt conveyor; The arcsine of the ratio of the sag height of the transition section conveyor belt to the distance between the transition section idler rollers is determined as the second change angle.

8. A device for simulating the parabolic trajectory of bulk materials on a belt conveyor, characterized in that, The device includes: The angle acquisition module is used to acquire a first angle and a second angle; the first angle is used to indicate the change in belt surface angle caused by the transition of the belt of the belt conveyor from a trough shape to a horizontal shape; the second angle is used to indicate the change in the material flow projection angle caused by the sagging of the belt at the head transition section of the belt conveyor. The projectile angle correction module is used to calibrate the initial projectile angle of the belt conveyor based on the first change angle and the second change angle to obtain the corrected projectile angle. The trajectory acquisition module is used to input the corrected launch angle into the CEMA standard projectile curve algorithm to obtain the target corrected trajectory.

9. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing at least one instruction, which is loaded and executed by the processor as a method for simulating the parabolic trajectory of bulk materials on a belt conveyor according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one instruction, which is loaded and executed by a processor according to any one of claims 1 to 7, a method for simulating the parabolic trajectory of bulk materials on a belt conveyor.

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