Method and device for determining a flow guide for a bulk material conveyor

Abstract

The application provides a bulk material conveyor guide chute determination method and device, and relates to the technical field of bulk material conveying. The method comprises the following steps: determining the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of a corresponding candidate guide chute according to simulation data of the bulk material particles conveyed in a simulation model of a bulk material conveyor provided with different candidate guide chutes; determining the distances between a plurality of bulk material particles corresponding to a plurality of simulation times based on the coordinates; determining the particle dispersion degree coefficient of the corresponding candidate guide chute based on the distances corresponding to a plurality of simulation times, and determining the corresponding target guide chute from a plurality of candidate guide chutes based on the particle dispersion degree coefficient. The application can make the determined bulk material conveyor guide chute more suitable for the corresponding bulk material conveyor, thereby improving the accuracy of the bulk material conveyor guide chute determination and further improving the efficiency of the bulk material conveyor guide chute determination.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bulk material conveying, and in particular to a method and device for determining a flow guide groove of a bulk material conveyor. BACKGROUND

[0002] A head hopper is often provided at the head of a bulk material conveyor, and the head hopper is often connected to a downstream bulk material conveyor through a corresponding chute or directly to a guide groove of the downstream bulk material conveyor to realize the transfer of bulk material. In the case of bulk material that is easily broken and scattered, or in the case of strict environmental protection requirements, a flow guide groove (which can also be referred to as, but is not limited to, a flow control groove or a flow control engine groove, and the flow guide groove can be, but is not limited to, a curved flow guide groove) can be provided in the head hopper of an upstream bulk material conveyor. Specifically, a exemplary installation position of the flow guide groove can be referred to Figure 1 , wherein bulk material is conveyed from a bulk material conveying passage 1 of the bulk material conveyor to a head hopper 3 of the bulk material conveyor, and part of the bulk material can slide along a flow guide groove 2. An exemplary shape of the flow guide groove 2 can be referred to Figure 2 . Under the action of the flow guide groove, the bulk material conveyed to the head hopper can smoothly slide along the flow guide groove, reducing the violent impact of the bulk material on the wall of the head hopper and alleviating the situation of bulk material flying and scattering, thereby reducing the damage to the bulk material, the waste of the bulk material, and the pollution and mess caused by the scattering of the bulk material in the production environment. For the specific role, structure, setting method and principle of the flow guide groove, please refer to the utility model patent with the application number 201520228193.6, which discloses a belt conveyor transfer point anti-blocking dust suppression flow control falling device. The device is provided with a flow control engine groove, i.e. a flow guide groove, in the head hopper of the belt conveyor. The flow guide groove has a concave arc-shaped curved arc-shaped groove, which is used to realize the smooth transfer of the material.

[0003] For a bulk material conveyor, a suitable flow guide groove (for example, which can be, but is not limited to, suitable in structure and size, etc.) can better realize the transfer and flow guide of the bulk material. On the contrary, if the flow guide groove is not suitable for the corresponding bulk material conveyor, the effect of suppressing the impact and scattering of the bulk material will not be ideal. For example, the impact of the bulk material on the wall of the head hopper is not well suppressed, causing the bulk material to be relatively dispersed rather than concentrated. Due to the existence of induced air flow, the scattering of the fine particles of the bulk material cannot be well suppressed, thereby making the effect of reducing the damage to the bulk material, the waste of the bulk material, and the pollution and mess caused by the scattering of the bulk material in the production environment (for example, causing dust and bulk material to fall on other unintended equipment or the ground in the production environment, etc.) not ideal. Therefore, there is a need to determine a corresponding flow guide groove for a bulk material conveyor.

[0004] However, the existing bulk material conveyor guide chute determination method is mainly determined randomly or according to the working experience of the staff, which leads to the fact that the determined bulk material conveyor guide chute may not be suitable for the corresponding bulk material conveyor, thereby the accuracy of the bulk material conveyor guide chute determination is low, and the determined bulk material conveyor guide chute has limited inhibition effect on the damage of the bulk material, the waste of the bulk material, and the pollution caused by the scattering of the bulk material, and further the efficiency of the bulk material conveyor guide chute determination is low.

[0005] In summary, the existing technology has the problem that the determined bulk material conveyor guide chute may not be suitable for the corresponding bulk material conveyor, thereby the accuracy of the bulk material conveyor guide chute determination is low, and further the efficiency of the bulk material conveyor guide chute determination is not improved. SUMMARY

[0006] An object of the present application is to provide a bulk material conveyor guide chute determination method to solve the problem in the prior art that the determined bulk material conveyor guide chute may not be suitable for the corresponding bulk material conveyor, thereby the accuracy of the bulk material conveyor guide chute determination is low, and further the efficiency of the bulk material conveyor guide chute determination is not improved. Another object of the present application is to provide a bulk material conveyor guide chute determination device. Still another object of the present application is to provide a computer device. Yet another object of the present application is to provide a readable medium.

[0007] In order to achieve the above objects, one aspect of the present application discloses a bulk material conveyor guide chute determination method, which comprises:

[0008] determining the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset spatial range at the outlet of the corresponding candidate guide chute according to the simulation data of the bulk material particles conveyed in the bulk material conveyor simulation model provided with different candidate guide chutes;

[0009] determining the distances between a plurality of the bulk material particles corresponding to a plurality of the simulation times based on the coordinates;

[0010] determining the particle dispersion degree coefficient of the corresponding candidate guide chute based on the distances corresponding to a plurality of the simulation times, and determining the corresponding target guide chute from a plurality of candidate guide chutes based on the particle dispersion degree coefficient.

[0011] Optionally, further comprising:

[0012] establishing a plurality of bulk material conveyor simulation models corresponding to a plurality of candidate guide chutes before determining the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset spatial range at the outlet of the corresponding candidate guide chute according to the simulation data of the bulk material particles conveyed in the bulk material conveyor simulation model provided with different candidate guide chutes;

[0013] running the bulk conveyor simulation model to obtain the simulation data.

[0014] Optionally, the establishing the bulk conveyor simulation model corresponding to the plurality of candidate flow guide grooves comprises:

[0015] The bulk conveyor simulation model corresponding to the plurality of candidate flow guide grooves is established based on the conveyor size information, the conveying working condition information, the corresponding bulk information, and the flow guide groove size information of the plurality of candidate flow guide grooves.

[0016] Optionally, the method further comprises:

[0017] Before determining the coordinates of the plurality of bulk particles corresponding to a plurality of simulation times within a preset spatial range at the outlet of each candidate flow guide groove corresponding to the bulk conveyor simulation model,

[0018] The maximum particle size of the corresponding bulk is determined based on the bulk information.

[0019] The vertical sampling distance is determined based on the maximum particle size of the bulk.

[0020] The preset spatial range at the outlet of the flow guide groove in the bulk conveyor simulation model is obtained based on the vertical sampling distance and a preset starting sampling point in the bulk conveyor simulation model.

[0021] Optionally, the determining the vertical sampling distance based on the maximum particle size of the bulk comprises:

[0022] The vertical sampling distance is determined by multiplying the maximum particle size of the bulk by a preset particle size multiple.

[0023] Optionally, the determining the distance between a plurality of the bulk particles corresponding to a plurality of the simulation times based on the coordinates comprises:

[0024] A plurality of pairwise distances between a plurality of the bulk particles corresponding to the plurality of the simulation times is determined based on the coordinate components of at least two dimensions in the coordinates.

[0025] Optionally, the determining the particle dispersion degree coefficient of the corresponding candidate flow guide groove based on the distance corresponding to a plurality of the simulation times comprises:

[0026] The distance standard deviation corresponding to the simulation time is obtained based on a plurality of the distances corresponding to the simulation time.

[0027] The particle dispersion degree coefficient corresponding to the candidate flow guide groove is obtained based on the distance standard deviation of a plurality of simulation times corresponding to the candidate flow guide groove.

[0028] Optionally, the distance standard deviation of the plurality of simulation times corresponding to the candidate flow guide groove is obtained to obtain the particle dispersion degree coefficient corresponding to the candidate flow guide groove, including:

[0029] The distance standard deviation of the plurality of simulation times corresponding to the candidate flow guide groove is obtained to obtain the distance standard deviation mean value;

[0030] The distance standard deviation mean value is taken as the particle dispersion degree coefficient corresponding to the candidate flow guide groove.

[0031] Optionally, the particle dispersion degree coefficient is used to determine the target flow guide groove from the plurality of candidate flow guide grooves, including:

[0032] The candidate flow guide groove with the minimum particle dispersion degree coefficient is determined as the target flow guide groove.

[0033] In order to achieve the above purpose, another aspect of the present application discloses a bulk material conveyor flow guide groove determination device, the device comprising:

[0034] A coordinate determination module is configured to determine the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times in a preset space range at an outlet of a corresponding candidate flow guide groove according to simulation data of the bulk material particles conveyed in a simulation model of a bulk material conveyor provided with different candidate flow guide grooves;

[0035] A distance determination module is configured to determine the distances between a plurality of the bulk material particles corresponding to a plurality of the simulation times based on the coordinates;

[0036] A flow guide groove determination module is configured to determine a particle dispersion degree coefficient of a corresponding candidate flow guide groove based on the distances corresponding to a plurality of the simulation times, and determine a target flow guide groove from a plurality of candidate flow guide grooves based on the particle dispersion degree coefficient.

[0037] The present application also discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the program to realize the method as described above.

[0038] The present application also discloses a computer readable medium having a computer program stored thereon, and the program is executed by the processor to realize the method as described above.

[0039] The application provides a bulk material conveyor guide trough determination method and device, which determines the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of a corresponding candidate guide trough by simulation data of the bulk material particles conveyed in a simulation model of the bulk material conveyor provided with different candidate guide troughs, can quickly obtain relevant data information for participating in calculation and processing from the corresponding simulation model accurately consistent with the actual bulk material conveyor, and determines the specific position coordinates of the bulk material particles accurately located at and near the outlet of the guide trough based on the operation condition and corresponding physical action of the conveyor, thereby improving the accuracy of the determined bulk material particle coordinates and indirectly improving the accuracy of the determination of the overall bulk material conveyor guide trough; the distance between a plurality of the bulk material particles corresponding to a plurality of the simulation times is determined based on the coordinates, the specific distance between the bulk material particles at the outlet of the guide trough in the corresponding operation condition is accurately determined based on the specific coordinates, thereby indirectly improving the accuracy of the determination of the overall bulk material conveyor guide trough; the particle dispersion degree coefficient of the corresponding candidate guide trough is determined based on the distance corresponding to a plurality of the simulation times, the simulation distance of the bulk material particles at a plurality of simulation times is used as the basis, the distance between the bulk material particles is considered to represent the dispersion degree of the particles, and the dispersion degree further represents the law of the guide effect of the guide trough, so that the particle dispersion degree coefficient of the different candidate guide troughs corresponding to different simulation times determined can fully and accurately correspond to the guide effect of the different candidate guide troughs at different simulation times, the accuracy of the determined particle dispersion degree coefficient is improved, and the accuracy of the determination of the overall bulk material conveyor guide trough is improved. The corresponding target guide trough is determined from a plurality of candidate guide troughs based on the particle dispersion degree coefficient, the particle dispersion degree coefficient of the candidate guide trough accurately reflecting the backflow effect at a plurality of simulation times is fully considered, the interference caused by accidental factors is reduced, the target guide trough determined is more likely to be the guide trough with the best guide effect relative to the corresponding bulk material conveyor among the plurality of candidate guide troughs, that is, the guide trough most suitable for the corresponding bulk material conveyor, and the accuracy of the determination of the bulk material conveyor guide trough is greatly improved. Therefore, the bulk material conveyor guide trough determination method and device provided by the application can inhibit the damage, waste and pollution of the production environment caused by the scattering of bulk materials when the determined bulk material conveyor guide trough is actually put into production and applied to the corresponding bulk material conveyor.

[0040] In summary, the bulk material conveyor guide trough determination method and device provided by the application can make the determined bulk material conveyor guide trough more suitable for the corresponding bulk material conveyor, thereby improving the accuracy of the determination of the bulk material conveyor guide trough and further improving the efficiency of the determination of the bulk material conveyor guide trough. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below only show some of the embodiments of the present application, and all other drawings obtained by those of ordinary skill in the art without creative effort based on these drawings also belong to the protection scope of the present application.

[0042] Figure 1 An optional installation position of the flow guide groove in the embodiment of the present application is shown in a schematic diagram.

[0043] Figure 2 An optional flow guide groove in the embodiment of the present application is shown in a schematic diagram.

[0044] Figure 3 A flowchart of a method for determining the flow guide groove of the bulk material conveyor in the embodiment of the present application is shown.

[0045] Figure 4 An optional step for determining the particle dispersion degree coefficient in the embodiment of the present application is shown in a schematic diagram.

[0046] Figure 5 A further step for determining the particle dispersion degree coefficient in the embodiment of the present application is shown in a schematic diagram.

[0047] Figure 6 A module schematic diagram of a device for determining the flow guide groove of the bulk material conveyor in the embodiment of the present application is shown.

[0048] Figure 7 A structure schematic diagram of a computer device suitable for implementing the embodiment of the present application is shown.

[0049] Legend of reference numerals: 1, bulk material conveyor conveying passage; 2, flow guide groove; 3, bulk material conveyor head funnel. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. 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 of ordinary skill in the art without creative effort belong to the protection scope of the present application.

[0051] The "first", "second", and the like used herein do not mean to particularly indicate the order or sequence, nor to limit the present application. They are merely used to distinguish the elements or operations described by using the same technical terms.

[0052] As used herein, the terms "comprises", "comprising", "includes", "including", "has", "having", "contains", "containing", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises, includes, has, contains a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0053] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0054] It should be noted that the acquisition, storage, use, processing, etc. of data in the technical solutions of the present application comply with the relevant provisions of national laws and regulations.

[0055] It should be noted that the bulk material conveyor guide chute determination method and device disclosed in the present application can be used in the field of bulk material conveying technology, and can also be used in any field other than the field of bulk material conveying technology. The application field of the bulk material conveyor guide chute determination method and device disclosed in the present application is not limited.

[0056] The embodiment of the present application discloses a bulk material conveyor guide chute determination method, as shown in the figure, the method specifically comprises the following steps: Figure 3

[0057] S301: According to the simulation data of the bulk material particles conveyed in the bulk material conveyor simulation model provided with different candidate guide chutes, the coordinates of the bulk material particles corresponding to a plurality of simulation times in a preset space range at the outlet of the corresponding candidate guide chute are determined.

[0058] S302: Based on the coordinates, the distances between a plurality of bulk material particles corresponding to a plurality of simulation times are determined.

[0059] S303: Based on the distances corresponding to a plurality of simulation times, the particle dispersion degree coefficient of the corresponding candidate guide chute is determined, and based on the particle dispersion degree coefficient, the corresponding target guide chute is determined from a plurality of candidate guide chutes.

[0060] Illustratively, the bulk material conveyor simulation model provided with different candidate guide chutes can be, but is not limited to, a plurality of bulk material conveyor simulation models each provided with different candidate guide chutes. It can also be, but is not limited to, one bulk material conveyor simulation model, wherein part of the guide chute can select a sub-model corresponding to the setting of different candidate guide chutes. It should be noted that the specific properties of the bulk material conveyor simulation model provided with different candidate guide chutes can be determined by a person skilled in the art according to the actual situation, and the above description is only an example, which does not constitute a limitation.

[0061] ​Exemplarily, the step S301 can be, but is not limited to, using an analysis software such as MATLAB or directly using a corresponding function of a corresponding modeling software to analyze the simulation data, and determining the coordinates included in or corresponding to the simulation data. The simulation data can include, but is not limited to, various physical parameters, equipment parameters, industrial parameters, material parameters, configuration parameters, and position parameters in the model running state or the static state. It should be noted that the specific implementation of the step S301 and the specific content of the simulation data can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0062] Exemplarily, the plurality of simulation times can be, but are not limited to, a plurality of times during the running of the bulk material conveyor simulation model. The number of simulation times can be, but is not limited to, 3 to 6, preferably 3. It should be noted that the number and nature of the simulation times can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0063] Exemplarily, one selected flow guide groove corresponds to a plurality of simulation times, or one simulation time corresponds to a plurality of selected flow guide grooves, one selected flow guide groove corresponds to a plurality of bulk material particle coordinates, a plurality of distances, and a dispersion degree coefficient at a specific simulation time. It should be noted that the corresponding relationship can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0064] Exemplarily, the bulk material conveyor can be, but is not limited to, a belt conveyor. The bulk material conveyor can also be referred to as, but is not limited to, a bulk material conveyor, a material conveyor, or a material conveying machine, etc. It should be noted that the type and specific alias of the bulk material conveyor can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0065] The application provides a bulk material conveyor guide trough determination method and device, which determines the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of a corresponding candidate guide trough by simulation data of the bulk material particles conveyed in a simulation model of the bulk material conveyor provided with different candidate guide troughs, can quickly obtain relevant data information for participating in calculation and processing from the corresponding simulation model accurately consistent with the actual bulk material conveyor, and determines the specific position coordinates of the bulk material particles accurately located at the outlet and nearby of the guide trough based on the operation condition and corresponding physical action of the conveyor, thereby improving the accuracy of the determined bulk material particle coordinates and indirectly improving the accuracy of the determination of the overall bulk material conveyor guide trough; the distance between a plurality of the bulk material particles corresponding to a plurality of the simulation times is determined based on the coordinates, the specific distance between the bulk material particles at the outlet of the guide trough in the corresponding operation condition is accurately determined based on the specific coordinates, thereby indirectly improving the accuracy of the determination of the overall bulk material conveyor guide trough; the particle dispersion degree coefficient of the corresponding candidate guide trough is determined based on the distance corresponding to a plurality of the simulation times, the simulation distance of the bulk material particles at a plurality of simulation times is used as a basis, the distance between the bulk material particles is considered to represent the dispersion degree of the particles, and the dispersion degree further represents the law of the guide effect of the guide trough, so that the determined particle dispersion degree coefficient of the different candidate guide troughs corresponding to different simulation times is fully and accurately consistent with the guide effect of the different candidate guide troughs at different simulation times, the accuracy of the determined particle dispersion degree coefficient is improved, and the accuracy of the determination of the overall bulk material conveyor guide trough is improved. The corresponding target guide trough is determined from a plurality of candidate guide troughs based on the particle dispersion degree coefficient, the particle dispersion degree coefficient of the candidate guide trough at a plurality of simulation times accurately reflecting the backflow effect is fully considered, the interference caused by accidental factors is reduced, the determined target guide trough is more likely to be the guide trough with the best guide effect relative to the corresponding bulk material conveyor among the plurality of candidate guide troughs, that is, the guide trough most suitable for the corresponding bulk material conveyor, and the accuracy of the determination of the bulk material conveyor guide trough is greatly improved. Therefore, the bulk material conveyor guide trough determination method and device can inhibit the damage, waste and pollution of the production environment caused by the scattering of bulk materials when the determined bulk material conveyor guide trough is actually put into production and applied to the corresponding bulk material conveyor.

[0066] In summary, the bulk material conveyor guide trough determination method and device can make the determined bulk material conveyor guide trough more suitable for the corresponding bulk material conveyor, thereby improving the accuracy of the determination of the bulk material conveyor guide trough and further improving the efficiency of the determination of the bulk material conveyor guide trough.

[0067] In an optional embodiment, the method further comprises:

[0068] Before determining the coordinates of the plurality of bulk material particles corresponding to a plurality of simulation times within a preset spatial range at the outlet of the target flow guide groove based on the simulation data obtained by simulating the bulk material conveyor provided with the plurality of simulation models of the bulk material conveyor provided with different candidate flow guide grooves, a plurality of simulation models of the bulk material conveyor corresponding to the plurality of candidate flow guide grooves are established.

[0069] The simulation data is obtained by running the simulation model of the bulk material conveyor.

[0070] For example, the simulation data is obtained by running the simulation model of the bulk material conveyor, which can be but is not limited to configuring corresponding simulation parameters in a corresponding simulation modeling software and then running the simulation model of the bulk material conveyor in the simulation modeling software to obtain the simulation data. The simulation modeling software can include but is not limited to EDEM software, CAD software, SimuWorks, etc. Preferably, in actual use, the simulation and running operations are performed in combination with EDEM software and at least one other simulation modeling software. For example, the simulation parameters include but are not limited to general simulation parameters such as running period, running time, simulation running speed, simulation frequency, and simulation accuracy. It should be noted that the specific implementation mode of running the simulation model of the bulk material conveyor to obtain the simulation data, the selection of the corresponding software, and the specific content of the simulation parameters can be determined by a person skilled in the art according to the actual situation, and the above description is only an example and does not constitute a limitation.

[0071] Through the above steps, the simulation model of the bulk material conveyor can be fully established and run, so that the simulation data required as input for the subsequent steps of analyzing, calculating, and processing the corresponding data to determine the target flow guide groove can be smoothly obtained, which fully prepares for the process of determining the overall bulk material conveyor flow guide groove, and thus helps to improve the efficiency of determining the overall bulk material conveyor flow guide groove.

[0072] In an optional embodiment, the establishment of the plurality of simulation models of the bulk material conveyor corresponding to the plurality of candidate flow guide grooves comprises:

[0073] Based on the conveyor size information, the conveying working condition information, the corresponding bulk material information, and the flow guide groove size information of the plurality of candidate flow guide grooves, the plurality of simulation models of the bulk material conveyor corresponding to the plurality of candidate flow guide grooves are established.

[0074] For example, the conveyor size information includes but is not limited to various lengths, widths, heights, angles, depths, radii, diameters, and curvatures of the corresponding bulk material conveyor and its constituent devices (for example, head funnel, conveyor belt, conveyor wheel, etc.). It should be noted that the specific content of the conveyor size information can be determined by a person skilled in the art according to the actual situation, and the above description is only an example and does not constitute a limitation.

[0075] The conveying working condition information includes, but is not limited to, the conveying capacity and the conveying speed of the bulk material conveyor. It should be noted that the specific content of the conveying working condition information can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0076] The bulk material information includes, but is not limited to, the shape, material, and particle size of the bulk material. Preferably, in the process of establishing the simulation model, the configuration, acquisition, and analysis of the corresponding bulk material information can be achieved through the particle factory function of the EDEM software. It should be noted that the specific content of the bulk material information can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0077] The flow guide groove size information includes, but is not limited to, various lengths, widths, heights, angles, depths, radii, diameters, and curvatures of the flow guide groove. It should be noted that the specific content of the flow guide groove size information can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0078] The bulk material conveyor simulation model corresponding to the plurality of selected flow guide grooves is established based on the conveyor size information, the conveying working condition information, the corresponding bulk material information, and the flow guide groove size information of the plurality of selected flow guide grooves. This can be, but is not limited to, configuring the conveyor size information, the conveying working condition information, the bulk material information, and the flow guide groove size information into the corresponding simulation modeling software for modeling operations and making corresponding adjustments and modifications to the model during the modeling process, thereby obtaining the bulk material conveyor simulation model. It should be noted that the specific implementation of the bulk material conveyor simulation model corresponding to the plurality of selected flow guide grooves based on the conveyor size information, the conveying working condition information, the corresponding bulk material information, and the flow guide groove size information of the plurality of selected flow guide grooves can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0079] Through the above steps, the corresponding bulk material conveyor simulation model can be more accurately established based on various actual characteristic parameter information of the bulk material conveyor, the flow guide groove, and the material, making the bulk material conveyor simulation model more consistent with the actual situation, thereby providing more accurate simulation data for subsequent steps and indirectly improving the accuracy of the overall bulk material conveyor flow guide groove determination.

[0080] In an optional embodiment, further comprising:

[0081] Before determining the coordinates of the plurality of bulk material particles corresponding to a plurality of simulation times within the pre-set space range at the outlet of each selected flow guide groove corresponding to the bulk material conveyor simulation model,

[0082] determining a corresponding bulk material maximum particle size based on the bulk material information;

[0083] determining a vertical sampling distance based on the bulk material maximum particle size;

[0084] obtaining a preset spatial range at the outlet of the flow guide groove in the bulk material conveyor simulation model based on the vertical sampling distance and a preset starting sampling point in the bulk material conveyor simulation model.

[0085] For example, the determination of the corresponding bulk material maximum particle size based on the bulk material information can include, but is not limited to, analyzing the bulk material information to obtain the relevant material particle size, so as to determine the corresponding bulk material maximum particle size based on the material particle size. It should be noted that the specific implementation of determining the corresponding bulk material maximum particle size based on the bulk material information can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0086] For example, the obtaining of the preset spatial range at the outlet of the flow guide groove in the bulk material conveyor simulation model based on the vertical sampling distance and the preset starting sampling point in the bulk material conveyor simulation model can include, but is not limited to, determining the spatial range corresponding to the vertical distance above the starting sampling point as the preset spatial range (generally, the horizontal range can not be limited, or can be limited according to actual conditions). The starting sampling point can be, but is not limited to, a sampling point corresponding to the end (for example, the lowermost end) position of the outlet of the flow guide groove in the bulk material conveyor simulation model or a sampling point at a distance below the end of the outlet of the flow guide groove. It should be noted that the specific implementation of obtaining the preset spatial range at the outlet of the flow guide groove in the bulk material conveyor simulation model based on the vertical sampling distance and the preset starting sampling point in the bulk material conveyor simulation model and the specific selection of the starting sampling point can be determined by those skilled in the art according to actual conditions, and the above description is only an example and does not constitute a limitation.

[0087] Through the above steps, the preset spatial range for sampling analysis is more clear, and the position of the outlet of the flow guide groove can be more accurately corresponded, and the vertical range is limited considering that the bulk material particles basically move downward (or obliquely downward), so that the particle data of a certain motion process can be more comprehensively and accurately collected, thereby improving the accuracy and comprehensiveness of the subsequent collection of bulk material particle data, and further improving the accuracy of the determination of the bulk material conveyor flow guide groove.

[0088] In an optional embodiment, the determination of the vertical sampling distance based on the bulk material maximum particle size includes:

[0089] The maximum particle size of the bulk material is multiplied by a preset particle size multiple to determine the vertical sampling distance.

[0090] For example, the particle size multiple can be, but is not limited to, 3 to 5, which can be determined by a person skilled in the art according to actual conditions, and embodiments of the present application do not make any limitation.

[0091] Through the above steps, the vertical sampling distance can be further clearly defined to further clearly define the preset space range, and on the basis of making the number of bulk material particles in the range sufficient (for example, 330), which is sufficient for the subsequent analysis steps to have sufficient sample basis, the sampling range is also related to the maximum particle size of the bulk material, so that the sampling range is not too large to cause too much data information to be analyzed, resulting in a slower overall process processing speed, and the situation of incomplete material particles in the sampling range can be reduced, the time and difficulty of screening the collected samples are reduced, and therefore, the accuracy and speed of determining the overall bulk material conveyor flow guide groove are further improved.

[0092] In an optional embodiment, the distance between the plurality of bulk material particles corresponding to the plurality of simulation times is determined based on the coordinates, comprising:

[0093] The plurality of pairwise distances between the plurality of bulk material particles corresponding to the plurality of simulation times is determined based on the coordinate components of at least two dimensions in the coordinates.

[0094] Preferably, the coordinates can be, but are not limited to, coordinates of geometric centers of the bulk material particles, and the geometric centers can be, but are not limited to, centroids, centers, centroids, or centers of gravity, etc. When determining the coordinates, the corresponding software can be based on a preset coordinate system (the coordinate system can be automatically defaulted by the software, or manually adjusted and set, etc.). It should be noted that the specific properties of the coordinates can be determined by a person skilled in the art according to actual conditions, and the above description is only an example, which does not constitute a limitation.

[0095] For example, the coordinate components of the at least two dimensions can be, but are not limited to, the following coordinate component combinations:

[0096] X-axis component and Y-axis component, X-axis component and Z-axis component, Y-axis component and Z-axis component, X-axis component and Y-axis component and Z-axis component, etc.

[0097] It should be noted that the dimensions of the coordinate components can be determined by a person skilled in the art according to actual conditions, and the above description is only an example, which does not constitute a limitation.

[0098] For example, the distance corresponding to the coordinate component values is determined based on the corresponding coordinate component values, which is a conventional technical means in the art, and will not be described here.

[0099] For example, the distances between the corresponding plurality of bulk material particles are determined as follows:

[0100] If there are bulk material particles A, bulk material particles B, bulk material particles C and bulk material particles D, the distances between the plurality of bulk material particles include the distance between bulk material particles A and bulk material particles B, the distance between bulk material particles A and bulk material particles C, the distance between bulk material particles A and bulk material particles D, the distance between bulk material particles B and bulk material particles C, the distance between bulk material particles B and bulk material particles D, and the distance between bulk material particles C and bulk material particles D.

[0101] That is, if the number of collected bulk material particles is n, the number of determined distances is

[0102] It should be noted that the specific implementation of determining the corresponding plurality of pairwise distances between the plurality of bulk material particles can be determined by those skilled in the art according to the actual situation, and the above description is only an example, which does not constitute a limitation.

[0103] Through the above steps, the distances between the plurality of bulk material particles can be determined more accurately, and the number of determined bulk material particle distances is sufficient, thereby improving the accuracy of the subsequent analysis process, and further improving the accuracy of the overall bulk material conveyor flow guide groove determination.

[0104] In an optional embodiment, as shown in Figure 4 Based on the plurality of distances corresponding to the simulation time, the particle dispersion degree coefficient of the corresponding candidate flow guide groove is determined, including the following steps:

[0105] S401: Based on the plurality of distances corresponding to the simulation time, the distance standard deviation corresponding to the simulation time is obtained.

[0106] S402: Based on the distance standard deviation of the plurality of simulation times corresponding to the candidate flow guide groove, the corresponding particle dispersion degree coefficient is obtained.

[0107] For example, the standard deviation is determined based on a plurality of numerical values, which is a conventional technical means in the art, and will not be described here.

[0108] Through the above steps, the distance standard deviation reflecting the corresponding dispersion degree is used as a basis to determine the particle dispersion degree coefficient, which is more consistent with the dispersion and sparseness of the bulk material particles under the action of the flow guide groove, thereby improving the accuracy of the determined particle dispersion degree coefficient, and the determined particle dispersion degree coefficient can more fully reflect the flow guiding effect of the flow guide groove, thereby improving the accuracy of the overall bulk material conveyor flow guide groove determination.

[0109] In an optional embodiment, as shown in Figure 5 The distance standard deviation corresponding to the plurality of simulation times of the candidate flow guide groove is obtained, and the particle dispersion degree coefficient corresponding to the candidate flow guide groove is obtained based on the distance standard deviation.

[0110] S501: The distance standard deviation corresponding to the plurality of simulation times of the candidate flow guide groove is obtained, and the distance standard deviation mean value is obtained based on the distance standard deviation.

[0111] S502: The distance standard deviation mean value is taken as the particle dispersion degree coefficient corresponding to the candidate flow guide groove.

[0112] For example, the step S501 can be, but is not limited to, adding the distance standard deviations corresponding to the plurality of simulation times to obtain a distance standard deviation sum, and dividing the distance standard deviation sum by the number of simulation times (i.e. the number of distance standard deviations) to obtain the distance standard deviation mean value. It should be noted that the specific implementation of step S501 can be determined by those skilled in the art according to the actual situation, and the above description is only an example, which does not constitute a limitation.

[0113] Through the above steps, the particle dispersion degree coefficient can conform to the comprehensive situation of the dispersion of the particles in the bulk material corresponding to the plurality of simulation times, i.e. the average situation, and the error influence caused by accidental factors is greatly reduced, further improving the accuracy of the determined particle dispersion degree coefficient, making it more fully reflect the overall flow guiding effect of the flow guide groove, and further improving the accuracy of the determination of the overall bulk material conveyor flow guide groove.

[0114] In an optional embodiment, the target flow guide groove corresponding to the plurality of candidate flow guide grooves is determined based on the particle dispersion degree coefficient, including:

[0115] The candidate flow guide groove corresponding to the smallest particle dispersion degree coefficient is determined as the target flow guide groove.

[0116] For example, the candidate flow guide groove corresponding to the smallest particle dispersion degree coefficient is determined as the target flow guide groove, which has the following examples:

[0117] There are candidate flow guide groove A, candidate flow guide groove B and candidate flow guide groove C, the particle dispersion degree coefficient of the candidate flow guide groove A is 81.5, the particle dispersion degree coefficient of the candidate flow guide groove B is 74.5, and the particle dispersion degree coefficient of the candidate flow guide groove C is 79. The candidate flow guide groove corresponding to the smallest particle dispersion degree coefficient is the candidate flow guide groove B, and the candidate flow guide groove B is determined as the target flow guide groove corresponding to the candidate flow guide groove.

[0118] It should be noted that the specific implementation manner of determining the target flow guide groove corresponding to the minimum particle dispersion degree coefficient of the to-be-selected flow guide groove can be determined by a person skilled in the art according to actual conditions, and the above description is only an example, and the present application is not limited thereto.

[0119] Through the above steps, the flow guide groove with the best flow guide effect can be accurately determined as the corresponding target flow guide groove based on the particle dispersion degree coefficient reflecting the flow guide effect, so that the efficiency of determining the flow guide groove of the bulk material conveyor is improved.

[0120] Correspondingly, after the corresponding target flow guide groove is determined from the plurality of to-be-selected flow guide grooves, the target flow guide groove is installed in the hopper of the corresponding bulk material conveyor to realize production use.

[0121] Based on the same principle, the embodiment of the present application discloses a bulk material conveyor flow guide groove determination device 600, as shown in the figure, the bulk material conveyor flow guide groove determination device 600 comprises: Figure 6

[0122] The coordinate determination module 601 is configured to determine the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of the corresponding to-be-selected flow guide groove according to the simulation data of the bulk material particles conveyed in the bulk material conveyor simulation model provided with different to-be-selected flow guide grooves.

[0123] The distance determination module 602 is configured to determine the distances between a plurality of the bulk material particles corresponding to a plurality of the simulation times based on the coordinates.

[0124] The flow guide groove determination module 603 is configured to determine the particle dispersion degree coefficient of the corresponding to-be-selected flow guide groove based on the distances corresponding to a plurality of the simulation times, and determine the corresponding target flow guide groove from a plurality of to-be-selected flow guide grooves based on the particle dispersion degree coefficient.

[0125] In an optional embodiment, further comprising a simulation module configured to:

[0126] Before determining the coordinates of a plurality of bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of the corresponding to-be-selected flow guide groove according to the simulation data of the bulk material particles conveyed in the bulk material conveyor simulation model provided with different to-be-selected flow guide grooves, a bulk material conveyor simulation model corresponding to a plurality of to-be-selected flow guide grooves is established.

[0127] The simulation data is obtained by running the bulk material conveyor simulation model.

[0128] In an optional embodiment, the simulation module is configured to:

[0129] ​Based on the conveyor size information of the bulk material conveyor, the conveying condition information, the corresponding bulk material information, and the guide groove size information of the plurality of candidate guide grooves, a plurality of bulk material conveyor simulation models corresponding to the plurality of candidate guide grooves are established.

[0130] In an optional implementation, the method further comprises a sampling range determination module for:

[0131] Before determining the coordinates of the plurality of bulk material particles corresponding to a plurality of simulation times within a preset spatial range at the outlet of each candidate guide groove corresponding to the bulk material conveyor simulation model,

[0132] Based on the bulk material information, the maximum particle size of the corresponding bulk material is determined;

[0133] Based on the maximum particle size of the bulk material, the vertical sampling distance is determined;

[0134] Based on the vertical sampling distance and the preset starting sampling point in the bulk material conveyor simulation model, the preset spatial range at the outlet of the guide groove in the bulk material conveyor simulation model is obtained.

[0135] In an optional implementation, the sampling range determination module is configured to:

[0136] The maximum particle size of the bulk material is multiplied by a preset particle size multiple to determine the vertical sampling distance.

[0137] In an optional implementation, the distance determination module 602 is configured to:

[0138] Based on the coordinate components of at least two dimensions in the coordinates, a plurality of pairwise distances between the plurality of bulk material particles corresponding to the plurality of simulation times are determined.

[0139] In an optional implementation, the guide groove determination module 603 is configured to:

[0140] Based on the plurality of distances corresponding to the plurality of simulation times, a distance standard deviation corresponding to the simulation time is obtained;

[0141] Based on the distance standard deviations of the plurality of simulation times corresponding to the candidate guide groove, a particle dispersion degree coefficient corresponding to the candidate guide groove is obtained.

[0142] In an optional implementation, the guide groove determination module 603 is configured to:

[0143] Based on the distance standard deviations of the plurality of simulation times corresponding to the candidate guide groove, a distance standard deviation mean corresponding to the candidate guide groove is obtained;

[0144] The distance standard deviation mean is taken as the particle dispersion degree coefficient corresponding to the candidate guide groove.

[0145] In an optional implementation, the flow guide groove determination module 603 is configured to:

[0146] The candidate flow guide groove corresponding to the minimum particle dispersion degree coefficient is determined as the target flow guide groove.

[0147] Since the problem-solving principle of the bulk material conveyor flow guide groove determination apparatus 600 is similar to the above method, the implementation of the bulk material conveyor flow guide groove determination apparatus 600 can refer to the implementation of the above method, and will not be repeated here.

[0148] The system, apparatus, module or unit illustrated in the above embodiments can be specifically implemented by a computer chip or entity, or by a product with certain functions. A typical implementation device is a computer device, specifically, the computer device can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0149] In a typical example, the computer device specifically includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the above method when executing the program.

[0150] The following refers to Figure 7 which shows a structural schematic diagram of a computer device 700 suitable for implementing the embodiments of the present application.

[0151] As shown in Figure 7 , the computer device 700 includes a central processing unit (CPU) 701, which can perform various appropriate operations and processes according to programs stored in a read-only memory (ROM) 702 or programs loaded from a storage portion 708 to a random access memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0152] The following components are connected to the I / O interface 705: an input part 706 including a keyboard, a mouse, etc.; an output part 707 including a display such as a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage part 708 including a hard disk, etc.; and a communication part 709 including a network interface card such as a LAN card, a modem, etc. The communication part 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I / O interface 705 as necessary. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive 710 as necessary, so that a computer program read out therefrom is installed in the storage part 708 as necessary.

[0153] In particular, the processes described above with reference to the flowcharts can be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program tangibly embodied on a machine-readable medium, the computer program comprising program code for executing the methods illustrated by the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication part 709, and / or installed from the removable medium 711.

[0154] Computer readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for storage of information. The information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer readable media does not include transitory media such as modulated data signals and carriers.

[0155] For the convenience of description, the above apparatus is described in various units by function. Of course, the functions of each unit can be implemented in the same or more software and / or hardware when implementing the present application.

[0156] The embodiments of the present application are described with reference to the flowchart illustrations and / or block diagrams of the methods, apparatus (systems) and computer program products according to the embodiments of the present application. It is understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0157] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0158] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0159] It should also be noted that the term "comprising" or "including" or any other variation thereof is intended to cover the non-exclusive inclusion such that processes, methods, articles, or apparatuses that comprise a list of elements are not limited to those elements but can include other elements not expressly listed or inherent to such processes, methods, articles, or apparatuses. Without limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the processes, methods, articles, or apparatuses that comprise the element.

[0160] Those skilled in the art will appreciate that embodiments of the present application can be devised for a method, a system, or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, and the like) embodying computer readable program code.

[0161] The application can be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, and the like, that perform particular tasks or implement particular abstract data types. The application can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules can be located in local and remote computer storage media including memory storage devices.

[0162] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each of the embodiments focuses on the difference from other embodiments. In particular, the system embodiments are described simply because they are basically similar to the method embodiments, and the relevant parts can be referred to the part of the method embodiments.

[0163] The above only describes the embodiments of the application and is not intended to limit the application. The application can have various changes and modifications for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the application shall be included in the scope of the claims of the application.

Claims

1. A method for determining the guide trough of a bulk material conveyor, characterized in that, The method comprises the following steps: According to the simulation data of the bulk material particles transported in the bulk material conveyor simulation model provided with different candidate flow guide grooves, the coordinates of the bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of the corresponding candidate flow guide groove are determined; Based on the coordinates, the distances between the bulk material particles corresponding to a plurality of simulation times are determined; Based on the distances corresponding to a plurality of simulation times, the particle dispersion degree coefficient of the corresponding candidate flow guide groove is determined, and the target flow guide groove is determined from a plurality of candidate flow guide grooves based on the particle dispersion degree coefficient. The method comprises the following steps: Based on the coordinates, the distances between the bulk material particles corresponding to a plurality of simulation times are determined. The method comprises the following steps:

2. The method of claim 1, wherein, Based on the distances corresponding to a plurality of simulation times, the distance standard deviation corresponding to the simulation time is obtained. The method comprises the following steps: Based on the distance standard deviation corresponding to a plurality of simulation times of the candidate flow guide groove, the distance standard deviation mean corresponding to the candidate flow guide groove is obtained.

3. The method of claim 2, wherein, The method comprises the following steps: Before determining the coordinates of the bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of each candidate flow guide groove of the bulk material conveyor simulation model, the bulk material conveyor simulation model corresponding to a plurality of candidate flow guide grooves is established.

4. The method of claim 3, wherein, The simulation data is obtained by running the bulk material conveyor simulation model. The method comprises the following steps: Based on the conveyor size information, the conveying working condition information, the corresponding bulk material information of the bulk material conveyor, and the flow guide groove size information of a plurality of candidate flow guide grooves, the bulk material conveyor simulation model corresponding to a plurality of candidate flow guide grooves is established. The method comprises the following steps: Before determining the coordinates of the bulk material particles corresponding to a plurality of simulation times within a preset space range at the outlet of each candidate flow guide groove of the bulk material conveyor simulation model, 5. The method of claim 4, wherein, Based on the bulk material information, the maximum particle size of the corresponding bulk material is determined. Based on the maximum particle size of the bulk material, the vertical sampling distance is determined.

6. The method of claim 1, wherein, Based on the vertical sampling distance and the preset starting sampling point in the bulk material conveyor simulation model, the preset space range at the outlet of the flow guide groove in the bulk material conveyor simulation model is obtained. The method comprises the following steps: The maximum particle size of the bulk material is multiplied by a preset particle size multiple to determine the vertical sampling distance. The method comprises the following steps: The candidate flow guide groove corresponding to the smallest particle dispersion degree coefficient is determined as the target flow guide groove.

7. A bulk material conveyor flight determiner, comprising: a flight generator configured to generate a flight; a flight evaluator configured to evaluate the flight; and a flight modifier configured to modify the flight based on the evaluation of the flight. The method comprises the following steps: The coordinate determining module is configured to determine the coordinates of the particles corresponding to a plurality of simulation times within a preset spatial range at the outlet of the candidate flow guide groove according to the simulation data of the particles conveyed in the simulation model of the bulk material conveyor provided with different candidate flow guide grooves; The distance determining module is configured to determine the distances between the particles corresponding to the plurality of simulation times based on the coordinates; The flow guide groove determining module is configured to determine the particle dispersion degree coefficient of the corresponding candidate flow guide groove based on the distances corresponding to the plurality of simulation times, and determine the target flow guide groove from the plurality of candidate flow guide grooves based on the particle dispersion degree coefficient; The distance determining module is configured to determine a plurality of pairwise distances between the particles corresponding to the plurality of simulation times based on the coordinate components of at least two dimensions in the coordinates; The flow guide groove determining module is further configured to obtain the distance standard deviation corresponding to the simulation time based on the distances corresponding to the simulation time, and obtain the particle dispersion degree coefficient corresponding to the candidate flow guide groove based on the distance standard deviations of the plurality of simulation times corresponding to the candidate flow guide groove; The flow guide groove determining module is further configured to obtain the mean value of the distance standard deviations corresponding to the plurality of simulation times based on the distance standard deviations of the plurality of simulation times corresponding to the candidate flow guide groove, and take the mean value of the distance standard deviations as the particle dispersion degree coefficient corresponding to the candidate flow guide groove.

8. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the method in any one of claims 1-6.

9. A computer readable medium having stored thereon a computer program, characterized in that The program is executed by the processor to implement the method in any one of claims 1-6.

Images