Milling material screening and crushing method based on grading adjustment and optimization

Abstract

The invention belongs to the technical field of milling and planing material screening and crushing, and particularly relates to a milling and planing material screening and crushing method based on grading adjustment and optimization. Detecting the initial gradation of the milling material; according to the target gradation and the initial gradation, a crushing strategy and a screening strategy are determined; the milled materials are subjected to multiple times of crushing passes according to the crushing strategy, qualified particles are screened out according to the screening passes of the screening strategy after each time of crushing pass, and multiple piles of crushed materials with different particle sizes are obtained after all the crushing passes and the screening passes are completed; obtaining a blending strategy according to the target gradation, and blending the crushed materials with different particle sizes and the new aggregate into a target mixture according to the blending strategy; and detecting the first gradation of the target mixture, and adjusting the crushing strategy, the screening strategy and the blending strategy according to the difference between the first gradation and the target gradation so as to reduce the difference between the first gradation and the target gradation. The method can solve the problem that in the prior art, the grading of the reclaimed milling material is difficult to control.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of milling material screening and crushing, and particularly relates to a milling material screening and crushing method based on gradation adjustment and optimization. BACKGROUND

[0002] Milling material is an asphalt stone mixture scraped down by a milling machine from a damaged asphalt stone pavement, and old aggregates and asphalt in the milling material have high recycling values. Therefore, in order to fully utilize the milling material, the milling material is first crushed and screened to process it into particles of a proper size, so as to improve the recycling utilization rate of the milling material recycling process.

[0003] Gradation refers to the distribution of particles of all sizes of aggregates, and gradation plays a decisive role in the physical and mechanical properties of aggregates.

[0004] In the existing milling material screening and crushing method, the milling material is often put into fixed screening and crushing steps, so that the old aggregates in the milling material are crushed into particles of random sizes (the particle size of the crushed material is affected by the crushing particle size of the crushing process). Not only is the integrity of the old aggregates in the milling material reduced, but also the particles of random sizes increase the difficulty of adjusting the gradation, resulting in that the gradation of the milling material recycling material is difficult to control. SUMMARY

[0005] The application embodiment provides a milling material screening and crushing method based on gradation adjustment and optimization, which can solve the problem that the gradation of the milling material recycling material is difficult to control in the prior art.

[0006] In a first aspect, the application embodiment provides a milling material screening and crushing method based on gradation adjustment and optimization, and the method comprises the following steps. obtaining a target gradation set by a user; detecting an initial gradation of milling material; wherein the target gradation and the initial gradation use the same particle size classification rule; determining a crushing strategy and a screening strategy according to the target gradation and the initial gradation; wherein the crushing strategy comprises multiple crushing passes of different crushing particle sizes, and the screening strategy comprises multiple screening passes of different screening particle sizes; crushing the milling material multiple times according to the crushing strategy, and screening qualified particles according to the screening pass of the screening strategy after each crushing pass, so as to obtain multiple piles of crushed materials of different particle sizes after all crushing passes and screening passes are completed; obtaining a blending strategy according to the target gradation, and blending the crushed materials of different particle sizes and new aggregates into a target mixture according to the blending strategy; detect a first gradation of the target mixture, and adjust the crushing strategy, the screening strategy and the blending strategy according to a difference between the first gradation and the target gradation, so as to narrow the difference between the first gradation and the target gradation.

[0007] The technical solutions described above in the embodiments of the present application have at least the following technical effects: In the milling and screening method based on gradation adjustment and optimization provided in the present application, first, a target gradation set by a user is acquired, and in this step, the target gradation desired by the user is determined. Second, an initial gradation of the milling and screening material is detected, and in this step, the initial gradation of the milling and screening material is determined. Then, a crushing strategy and a screening strategy are determined according to the target gradation and the initial gradation, and in this step, the target gradation and the initial gradation are considered to obtain the crushing strategy and the screening strategy, the crushing strategy includes multiple crushing passes of different crushing particle sizes, and the screening strategy includes multiple screening passes of different screening particle sizes, which can crush and screen the milling and screening material into specific particle sizes that are suitable for the target gradation. Then, the milling and screening material is crushed for multiple crushing passes according to the crushing strategy, and after each crushing pass, qualified particles are screened out according to the screening pass of the screening strategy, and after all the crushing passes and screening passes are completed, multiple piles of crushed materials of different particle sizes are obtained, and in this step, the process of first crushing the milling and screening material for a crushing pass and then screening for a screening pass is repeatedly performed until all the crushing passes and screening passes are completed, and multiple piles of crushed materials of different particle sizes are obtained. Then, a blending strategy is obtained according to the target gradation, and the crushed materials of different particle sizes and new aggregate are blended into a target mixture according to the blending strategy, and in this step, the crushed materials and the new aggregate are blended into the target mixture, and the target mixture is a mixture blended according to the target gradation, which can solve the problem that the gradation of the regenerated milling and screening material is difficult to control in the prior art. Finally, a first gradation of the target mixture is detected, and the crushing strategy, the screening strategy and the blending strategy are adjusted according to the difference between the first gradation and the target gradation, so as to narrow the difference between the first gradation and the target gradation, and in this step, the first gradation of the target mixture is continuously detected, and the crushing strategy, the screening strategy and the blending strategy are adjusted to narrow the difference between the first gradation and the target gradation, which can solve the blending, crushing or screening errors in each step in the method, and can further optimize the gradation of the target mixture produced. In the method, first, a preliminary crushing strategy and a screening strategy are determined according to the target gradation set by the user and the initial gradation of the milling and screening material, the milling and screening material becomes multiple piles of crushed materials of different particle sizes after the crushing strategy and the screening strategy, the multiple piles of crushed materials of different particle sizes and the new aggregate are blended into the target mixture, and then the difference between the first gradation of the target mixture and the target gradation is compared, and accordingly the crushing strategy, the screening strategy and the blending strategy are adjusted to dynamically narrow the difference between the first gradation and the target gradation, which can further optimize the gradation of the target mixture produced, and can also solve the problem that the gradation of the regenerated milling and screening material is difficult to control in the prior art.

[0008] In a second aspect, the embodiments of the present application provide a milling material screening and crushing device based on gradation adjustment and optimization, the device comprising: a target gradation acquisition unit configured to acquire a target gradation set by a user; a gradation detection unit configured to detect an initial gradation of the milling material; wherein the target gradation and the initial gradation use the same particle size classification rule; a crushing strategy and screening strategy determination unit configured to determine a crushing strategy and a screening strategy according to the target gradation and the initial gradation; wherein the crushing strategy comprises a plurality of crushing passes of different crushing particle sizes, and the screening strategy comprises a plurality of screening passes of different screening particle sizes; a crushing and screening unit configured to crush the milling material according to the crushing strategy for a plurality of crushing passes, and screen out qualified particles according to the screening passes of the screening strategy after each crushing pass, and obtain a plurality of crushed materials of different particle sizes after all the crushing passes and screening passes are completed; a blending unit configured to obtain a blending strategy according to the target gradation, and blend the crushed materials of different particle sizes and new aggregate into a target mixture according to the blending strategy; a feedback unit configured to detect a first gradation of the target mixture, and adjust the crushing strategy, the screening strategy and the blending strategy according to a difference between the first gradation and the target gradation, so as to reduce the difference between the first gradation and the target gradation.

[0009] In a third aspect, the embodiments of the present application provide a milling material screening and crushing device based on gradation adjustment and optimization, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of any one of the first aspect when executing the computer program.

[0010] In a fourth aspect, the embodiments of the present application provide a computer readable storage medium, which stores a computer program, and the computer program is executable by a processor to implement the method of any one of the first aspect.

[0011] In a fifth aspect, the embodiments of the present application provide a computer program product, which, when executed on a milling material screening and crushing device based on gradation adjustment and optimization, causes the milling material screening and crushing device based on gradation adjustment and optimization to perform the method of any one of the first aspect.

[0012] It can be understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0014] Figure 1 is a flowchart of a milling material screening and crushing method based on gradation adjustment and optimization provided by an embodiment of the present application; Figure 2 is a flowchart of a milling material screening and crushing method based on gradation adjustment and optimization and application scenarios provided by an embodiment of the present application; Figure 3 is an example diagram of a hierarchical subdivision method of step S720 in an embodiment of the present application; Figure 4 is a structural diagram of a milling material screening and crushing device based on gradation adjustment and optimization provided by an embodiment of the present application; Figure 5 is a structural diagram of a milling material screening and crushing device based on gradation adjustment and optimization provided by an embodiment of the present application. DETAILED DESCRIPTION

[0015] In the following description, specific details are set forth in order to provide a thorough understanding of embodiments of the present application. However, persons having ordinary skill in the art will appreciate that embodiments of the present application can be practiced without the specific details, and that the present application is not limited to the specific details or the particular order described herein. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0016] It should be understood that, when used in the specification and the appended claims of the present application, the term "comprising" indicates the presence of the described features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0017] It should also be understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0018] As used in the specification and the appended claims of the application, the term "if' can be interpreted as meaning "when" or "upon" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if [the described condition or event] is detected" can be interpreted as meaning "upon determining" or "in response to determining" or "upon detecting [the described condition or event]" or "in response to detecting [the described condition or event]" depending on the context.

[0019] In addition, in the description of the application and the appended claims, the terms "first", "second", "third", etc. are used only to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

[0020] Reference in the specification to "one embodiment" or "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the application. The appearances of the phrases "in one embodiment", "in some embodiments", "in other embodiments", "in additional embodiments", etc. in various places in the specification are not necessarily all referring to the same embodiment, although they can. The terms "comprising", "including", "having" and their variants mean "including but not limited to", unless otherwise expressly specified.

[0021] In the related art, the milled material is the asphalt stone mixture scraped down by the milling machine from the damaged asphalt sand pavement, wherein the old aggregate and asphalt have high recycling value, and therefore, in order to fully utilize the milled material, the milled material is first crushed and screened to process it into particles of appropriate size, so as to improve the recycling utilization rate of the milled material recycling process. Gradation refers to the distribution of particles of each size of aggregate, and gradation plays a decisive role in the physical and mechanical properties of aggregate. In the existing milled material screening and crushing method, the milled material is often put into fixed screening and crushing steps, so that the old aggregate in the milled material is crushed into particles of random size (affected by the crushing particle size of the crushing process), which not only reduces the integrity of the old aggregate in the milled material, but also increases the difficulty of adjusting the gradation of the particles of random size, resulting in difficulty in controlling the gradation of the milled material recycling material.

[0022] To solve the above problems, the embodiment of the present application provides a milling and screening material screening and crushing method based on gradation adjustment and optimization. In the method, first, the target gradation set by the user is obtained, and in this step, the target gradation desired by the user is determined. Second, the initial gradation of the milling material is detected, and in this step, the initial gradation of the milling material is determined. Then, according to the target gradation and the initial gradation, the crushing strategy and the screening strategy are determined, and in this step, the target gradation and the initial gradation are considered to obtain the crushing strategy and the screening strategy. The crushing strategy includes multiple crushing passes of different crushing particle sizes, and the screening strategy includes multiple screening passes of different screening particle sizes, which can crush and screen the milling material into specific particle sizes that are suitable for the target gradation. Then, according to the crushing strategy, the milling material is crushed multiple times, and after each crushing pass, the qualified particles are screened out according to the screening pass of the screening strategy. After all the crushing passes and screening passes are completed, multiple piles of crushed materials of different particle sizes are obtained. In this step, the process of first crushing the milling material and then screening is repeatedly performed until all the crushing passes and screening passes are completed, and multiple piles of crushed materials of different particle sizes are obtained. Then, according to the target gradation, the adjustment strategy is obtained, and the crushed materials of different particle sizes and the new aggregate are adjusted into the target mixture according to the adjustment strategy. In this step, the crushed materials and the new aggregate are adjusted into the target mixture, and the target mixture is the mixture adjusted with the target gradation as the target, which can solve the problem of difficult control of the gradation of the milling material in the prior art. Finally, the first gradation of the target mixture is detected, and according to the difference between the first gradation and the target gradation, the crushing strategy, the screening strategy and the adjustment strategy are adjusted to reduce the difference between the first gradation and the target gradation. In this step, the first gradation of the target mixture is continuously detected, and the crushing strategy, the screening strategy and the adjustment strategy are adjusted to reduce the difference between the first gradation and the target gradation, which can solve the adjustment, crushing or screening error problems in each step of the method and further optimize the gradation of the output target mixture. In the method, first, the initial crushing strategy and the screening strategy are determined according to the target gradation set by the user and the initial gradation of the milling material. The milling material becomes multiple piles of crushed materials of different particle sizes after the crushing strategy and the screening strategy, and then the multiple piles of crushed materials of different particle sizes and the new aggregate are adjusted into the target mixture. Then, the difference between the first gradation of the target mixture and the target gradation is compared, and the crushing strategy, the screening strategy and the adjustment strategy are adjusted to dynamically reduce the difference between the first gradation and the target gradation, which can further optimize the gradation of the output target mixture and solve the problem of difficult control of the gradation of the milling material in the prior art.

[0023] The milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of the present application can be applied to a milling material screening and crushing device based on gradation adjustment and optimization, and at this time, the milling material screening and crushing device based on gradation adjustment and optimization is the execution subject of the milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of the present application, and the embodiments of the present application do not limit the specific type of the milling material screening and crushing device based on gradation adjustment and optimization.

[0024] For example, the milling material screening and crushing device based on gradation adjustment and optimization can include a receiving device, a detection device, a crushing and screening device, a blending device and a control device, the control device is in communication connection with the receiving device, the detection device and the crushing and screening device, the receiving device can be a WIFI module or a Bluetooth module, the detection device can be a complete set of detection equipment for extraction experiments, the crushing and screening device can be a crushing and screening integrated device with adjustable crushing particle size and adjustable screening particle size or two devices separated from each other, and the blending device can be a material taking machine capable of taking pre-set quality material and a blender. The control device can control the receiving device to obtain the target gradation set by the user, then control the detection device to detect the initial gradation of the milling material, and then control the device to determine the crushing strategy and the screening strategy according to the target gradation and the initial gradation, then control the crushing and screening device to crush at different crushing particle sizes and control the crushing and screening device to screen at different screening particle sizes to obtain multiple piles of crushed materials with different particle sizes, and then control the blending device to blend the crushed material with a specific particle size or new aggregate to obtain the target mixture, and finally control the detection device to detect the first gradation of the target mixture, and the control device adjusts the crushing strategy, the screening strategy and the blending strategy according to the difference between the first gradation and the target gradation. The feeding port of the blending device is physically connected to the discharging port of the crushing and screening device.

[0025] The control device can be a single-chip microcomputer, a microprocessor, a desktop computer, a laptop computer, etc.

[0026] In order to better understand the milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of the present application, the specific implementation process of the milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of the present application is exemplarily introduced as follows.

[0027] Figure 1 A schematic flowchart of the milling material screening and crushing method based on gradation adjustment and optimization provided in the embodiments of the present application is shown, and the milling material screening and crushing method based on gradation adjustment and optimization includes: S100, obtaining the target gradation set by the user.

[0028] It can be understood that the target gradation set by the user is received by the receiving device, and the target gradation refers to the gradation expected by the user, and the target gradation includes multiple levels of particles and specifically records the particle size range and mass proportion of the levels of particles.

[0029] In this way, the target for the subsequent step of adjusting the gradation is set.

[0030] S200, detecting the initial gradation of the milled material. The target gradation and the initial gradation use the same particle size classification rule.

[0031] It can be understood that the target gradation is the end point of the adjustment of the gradation, and the initial gradation of the milled material is the starting point of the adjustment of the gradation. The initial gradation of the milled material is detected by the detection device, which can be a complete set of detection equipment for extraction experiments. Specifically, after removing the bitumen of the milled material, the remaining stone material is classified and sieved, and the mass proportion of each level of stone material is measured to obtain the initial gradation of the milled material. Moreover, the initial gradation and the target gradation use the same particle size classification rule.

[0032] For example, the levels of the gradation can include 0.1mm-1mm, 1mm-5mm, 5mm-10mm, and 10mm-25mm, and the mass proportions of the particles in the four levels (which can also be other more subdivided levels) are measured respectively, X1, X2, X3, and X4 (X1+X2+X3+X4=1).

[0033] In this way, the initial value for the subsequent step of adjusting the gradation is determined.

[0034] Optionally, after the step S200, the method further includes: S210, calculating the similarity between the initial gradation and the target gradation.

[0035] It can be understood that the initial gradation and the target gradation use the same particle size classification rule. Under the guarantee of the same particle size classification rule, the mass proportions of the particles in each level of the initial gradation and the target gradation are compared. A[n]={A1,...,An} is the mass proportion of the particles in each level of the initial gradation, and B[n]={B1,...,Bn} is the mass proportion of the particles in each level of the target gradation. In this method, the reciprocal of the Manhattan distance is used as the similarity of A[n] and B[n], and the similarity = , ≤ similarity <+∞, the greater the similarity, the more similar the two arrays.

[0036] In this way, the similarity between the initial gradation and the target gradation can be effectively represented.

[0037] S220, when the similarity is less than the third threshold, sending a warning signal and pausing the execution of the method. The warning signal is used to warn the operator that the difference between the target gradation and the milling material gradation is too large.

[0038] It can be understood that when the initial gradation and the target gradation are too different, it means that the difficulty of adjusting from the initial gradation to the target gradation will also be too large, and it will also exacerbate the problem of over-crushing of old aggregate. Therefore, a third threshold is set, and when the similarity is less than the third threshold, it means that the initial gradation and the target gradation are too different. At this time, a warning signal is sent to the user terminal, and the warning signal is used to warn the operator that the difference between the target gradation and the milling material gradation is too large.

[0039] In this way, the initial gradation and the target gradation are too different, and the user is reminded to prevent the user from directly determining a target gradation that is too different.

[0040] S230, waiting and receiving a new target gradation set by the user or ignoring the warning instruction. When a new target gradation is received, the new target gradation replaces the target gradation and the method continues to be executed; when the warning instruction is received, the method continues to be executed.

[0041] It can be understood that after the warning signal is sent to the user terminal, the feedback signal of the user is waited and received. The feedback signal includes a new target gradation set by the user and an ignored warning instruction. When a new target gradation is received, the new target gradation replaces the target gradation and the method continues to be executed; and when the warning instruction is received, the initial gradation and the target gradation are ignored. The difference is too large, and the method continues to be executed.

[0042] In this way, the processing logic of the initial gradation and the target gradation is improved when the initial gradation and the target gradation are too different, and the practicability of the method is improved.

[0043] S300, determining a crushing strategy and a screening strategy according to the target gradation and the initial gradation. The crushing strategy includes a plurality of crushing passes of different crushing particle sizes, and the screening strategy includes a plurality of screening passes of different screening particle sizes.

[0044] It can be understood that the crushing process can only make the particle size smaller, so the initial gradation is started from the largest particle size level, and the crushing strategy and the screening strategy are gradually determined. First, find the largest particle size level in the initial gradation with a mass percentage, called the first particle size level. Secondly, find the particle size level in the target gradation with a mass percentage and smaller than the first particle size level. The upper limit of the particle size of these smaller particle size levels is used as the crushing particle size, and each crushing pass is set once to obtain the crushing strategy. The screening strategy is to set a screening pass after each crushing pass, using the lower limit of the particle size of the particle size level corresponding to the crushing pass as the screening particle size, for screening out the crushed material in the corresponding particle size level.

[0045] For example, there are five particle size levels in total from large to small, and A[5] = {0, 0.25, 0.25, 0.25, 0.25}, B[5] = {0.25, 0.25, 0.25, 0.25, 0}. The crushing strategy is to set the upper limit of the particle size of the second, third and fourth particle size levels as the crushing particle size, and each set one crushing pass; the screening strategy is to set the lower limit of the particle size of the corresponding particle size level as the screening particle size after each crushing pass, and screen out three parts of the crushed material in the second, third and fourth particle size levels.

[0046] In this way, the old aggregate in the milling material is crushed downwardly compatible, and the old aggregate in the milling material is reused to the greatest extent after each crushing and screening.

[0047] In a possible implementation, in step S300, the crushing strategy and the screening strategy are determined according to the target gradation and the initial gradation, including: S310, when the same first level exists in the initial gradation and the target gradation, the upper limit of the particle size of the first level is set as the crushing particle size of one crushing pass of the crushing strategy, and the lower limit of the particle size of the first level is set as the screening particle size of one screening pass of the screening strategy. The first level refers to the level whose mass percentage of particles is greater than a first threshold, the number of the crushing passes of the crushing strategy is the same as that of the screening passes of the screening strategy, and they are in a corresponding relationship.

[0048] It can be understood that in the above S300 step, there is a specific case that the second particle size level is a particle size level smaller than the first particle size level, the mass percentage of the initial gradation in the second particle size level is 0 (or less than a certain threshold and considered to be approximately equal to 0), but the mass percentage of the target gradation in the second particle size level is greater than 0. The crushing strategy and the screening strategy obtained according to the method of the S300 step still have one crushing pass and one screening pass in the second particle size level, but in fact the milling material has no mass percentage in the second particle size level, and there is no need for crushing and screening, which is equivalent to setting one meaningless crushing pass and one meaningless screening pass. Therefore, in this step, the level whose mass percentage of particles is greater than a first threshold (the first threshold can be 5%) is referred to as the first level, and only when the same first level exists in the initial gradation and the target gradation, the upper limit of the particle size of the first level is set as the crushing particle size of one crushing pass of the crushing strategy. Then, the lower limit of the particle size of the first level is set as the screening particle size of one screening pass of the screening strategy, the number of the crushing passes of the crushing strategy is the same as that of the screening passes of the screening strategy, and they are in a one-to-one corresponding relationship.

[0049] In this way, meaningless crushing passes and screening passes can be prevented, and the practicability of the method is improved.

[0050] S400, according to the crushing strategy, the milling material is crushed for multiple crushing passes, and after each crushing pass, the qualified particles are screened out according to the screening strategy, and after all the crushing passes and screening passes are completed, multiple piles of crushed materials with different particle sizes are obtained.

[0051] It can be understood that after the crushing strategy and the screening strategy are determined, the milling material is put into the crushing and screening device, the crushing and screening device is a crushing device for crushing particle size and a screening device with adjustable screening particle size, the milling material is crushed according to a crushing pass in the crushing strategy, and then is screened according to the corresponding screening pass in the screening strategy, to obtain a pile of crushed materials, and then all the crushing passes and screening passes are sequentially executed to obtain multiple piles of crushed materials with different particle sizes.

[0052] In this way, the obtained crushing strategy and screening strategy are executed.

[0053] S500, according to the target gradation, a blending strategy is obtained, and different particle sizes of the crushed material and the new aggregate are blended into the target mixture according to the blending strategy.

[0054] It can be understood that the blending strategy is determined according to the mass proportion of each level of particles in the target gradation, and the blending strategy includes the specific mass of each level of particles in the blending process, and also includes the mass of the new aggregate of different particle sizes required when the crushed material is insufficient. The blending device blends different particle sizes of the crushed material and the new aggregate into the target mixture according to the blending strategy, and the blending device can be a material taking machine capable of taking a preset mass of material and a mixer. The target mixture is the finished product blended by the method with the target gradation as the target. It should be noted that the crushed material also includes bitumen, so the mass of the crushed material multiplied by a mass coefficient is equal to the mass of the old aggregate. The mass proportion of the old aggregate in the commonly used milling material is about 95%, so the mass coefficient is 0.95. The mass proportion of the old aggregate in the milling material can also be measured before the method is performed to determine the size of the mass coefficient.

[0055] In this way, the blending strategy can be executed to obtain the target mixture.

[0056] S600, the first gradation of the target mixture is detected, and according to the difference between the first gradation and the target gradation, the crushing strategy, the screening strategy and the blending strategy are adjusted to reduce the gap between the first gradation and the target gradation.

[0057] It can be understood that various errors exist in the blending process, for example, the old asphalt and the old aggregate form a ball, which is regarded as a whole aggregate, so that the obtained milling material gradation deviates from the true gradation of the aggregate in the milling material, and therefore the true first gradation of the target mixture is first detected by the detection device in this step. Subsequently, the first gradation is subtracted from the target gradation to obtain a difference array C[n] of the first gradation and the target gradation, the items in C[n] are positive and negative, the positive items in C[n] mean that the particle mass ratio of the target mixture in this layer is too high, and the mass ratio needs to be appropriately reduced. The method for reducing the mass ratio of the particles in this layer includes: reducing the broken particle size of this layer in the crushing strategy (old aggregate near the upper limit of the particle size in this layer is also crushed, thereby reducing the mass ratio of the particles in this layer), increasing the screening particle size of this layer in the screening strategy (old aggregate near the lower limit of the particle size in this layer is also screened out, thereby reducing the mass ratio of the particles in this layer), reducing the mass of the particles in this layer in the blending strategy (reducing the added new aggregate to reduce the mass ratio of the particles in this layer), or increasing the mass of the particles in other layers in the blending strategy (increasing the new aggregate of other layers to reduce the mass ratio of the particles in this layer). The negative items in C[n] mean that the particle mass ratio of the target mixture in this layer is too low, and the mass ratio needs to be appropriately increased. The method for increasing the mass ratio of the particles in this layer is exactly opposite to the method for reducing the mass ratio of the particles in this layer. The method for increasing or reducing the mass ratio of the particles in the layer can be multiple methods simultaneously enabled, for example, simultaneously adjusting the crushing strategy, the screening strategy and the blending strategy to narrow the gap between the first gradation and the target gradation, or only enabling a one-sided method and adjusting only one of the crushing strategy, the screening strategy and the blending strategy.

[0058] In this way, by adjusting the crushing strategy, the screening strategy and the blending strategy, the gradation of the target mixture can be optimized.

[0059] In a possible implementation, in step S600, the crushing strategy, the screening strategy and the blending strategy are adjusted according to the difference between the first gradation and the target gradation, including: S610, calculating the similarity between the first gradation and the target gradation.

[0060] It can be understood that the similarity between the first gradation and the target gradation can be calculated first, which is the same as the similarity calculation method in step S210.

[0061] In this way, the similarity is used to judge the difference between the first gradation and the target gradation, so as to determine whether the crushing strategy, the screening strategy and the blending strategy need to be adjusted.

[0062] S620, when the similarity is less than a second threshold, comparing the mass ratio of the same layer particles in the first gradation and the target gradation to obtain a mass ratio difference array.

[0063] It can be understood that when the similarity is less than the second threshold, it means that the difference between the first gradation and the target gradation is large enough to require adjustment of the crushing strategy, the screening strategy and the blending strategy to narrow the gap between the first gradation and the target gradation. The mass percentage difference of the same level particles in the first gradation and the target gradation is obtained, and the mass percentage difference array is the difference array C[n].

[0064] In this way, the specific gap between the first gradation and the target gradation is determined.

[0065] S630, adjusting the upper and lower limits of the particle size classification rule or adjusting the mixing amount of the crushed material or the new aggregate of the corresponding level in the blending strategy to reduce the item in the mass percentage difference array.

[0066] It can be understood that the crushing particle size of the crushing strategy is the upper limit of the particle size of each level, and the screening particle size of the screening strategy is the lower limit of the particle size of each level. The upper and lower limits of the particle size classification rule can be adjusted to indirectly adjust the crushing strategy and the screening strategy, and then the specific method of reducing or increasing the mass percentage of a certain level of particles in S600 is used to reduce the item in the mass percentage difference array C[n].

[0067] In this way, the various adjustments of the method are mapped to the particle size classification rule, and the adjustment and optimization of the gradation can be completed by only adjusting the particle size classification rule and the blending strategy, thereby optimizing the number of adjustable coefficients.

[0068] Optionally, after detecting the first gradation of the target mixture (step S600), the method further comprises: S710, comparing the average particle sizes of the same level particles in the first gradation and the target gradation to obtain an average particle size difference array. The average particle size of a level of the target gradation is the intermediate value of the upper limit and the lower limit of the particle size of the level; In the above S600 step, there is a specific case that with multiple executions of S600 step or naturally, the particle sizes of a level of the target mixture are all aggregated to one side, i.e., the particle sizes of a level are all aggregated near the upper limit or the lower limit. For example, a level is 10mm-15mm, and normally the particle sizes of the particles in this level are relatively uniformly distributed. However, after multiple S600 steps or naturally, more than 75% of the particle sizes are less than 12.5mm, and the particle sizes are obviously shifted to the lower limit. At this time, the average particle size of the particles in a level needs to be considered.

[0069] The average particle size difference array D[n] is obtained by subtracting the average particle size of the same level particles in the first grading from the average particle size of the same level particles in the target grading (the average particle size of the target grading is the middle value of the upper limit and the lower limit of the particle size of this level), and the average particle size difference array D[n] can represent the degree of particle size deviation within the level, and each item in D[n] represents the average particle size difference of the corresponding level.

[0070] In this way, a special case is considered, the concept of an average particle size difference array is added to represent the degree of particle size deviation of particles within a level, and the practicability of the method is increased.

[0071] In S720, the average particle size difference of the target level is obtained from the average particle size difference array, and when the absolute value of the average particle size difference of the target level is greater than the fourth threshold, the target level is subdivided into multiple new levels. The target level is an arbitrary level.

[0072] It can be understood that the average particle size difference of the target level is obtained from the average particle size difference array, and the target level is an arbitrary level, which means that each item D[i] in the average particle size difference array D[n] is obtained, i=1, 2,...n, and when the absolute value |D[i]| of the average particle size difference of the target level is greater than the fourth threshold (the absolute value |D[i]| greater than the fourth threshold means that the degree of particle size deviation within the level is too large), the target level is subdivided into multiple new levels. The purpose of level subdivision is to subdivide a large level with uneven particle distribution into multiple small levels with relatively uniform overall distribution, and the reason for uneven particle distribution is that the execution of S600 multiple times causes particles close to the upper limit of the level to be broken or particles close to the lower limit of the level to be screened out, which can be regarded as a part of the upper limit or lower limit of the level being incomplete, and therefore, the subdivision line can be placed at 2×(level midpoint-D[i]), which means that the complete segment in the large level is regarded as a small level and the incomplete segment in the large level is regarded as another small level, as shown in the following table. Figure 3 Figure 3 In the table, x=0 (the vertical line passing through point A) is the lower limit of the particle size of this level, x=10 (the vertical line passing through point C) is the upper limit of the particle size of this level, the left half (i.e. x=0 to x=5) is the complete segment in this level, the right half (i.e. x=5 to x=10) is the incomplete segment in this level, f is the bisector, f:x=2.5=average particle size=level midpoint-D[i], and therefore 2×(level midpoint-D[i]) is x=5 (the vertical line passing through point B), so the x=0 to x=10 level is subdivided into x=0 to x=5 and x=5 to x=10, two small levels.

[0073] In this way, the reason for uneven particle distribution is considered, and the subdivision method of the target level is determined, which can prevent the degree of particle size deviation of particles within a level from being too large.

[0074] ​Optionally, after the different sizes of the broken materials and the new aggregate are mixed into the target mixture according to the mixing strategy (step S500), the method further comprises: S730, the first broken material is changed into the second broken material through the broken screening process, and is used for mixing the target mixture. The first broken material refers to the excess broken material after the target mixture is mixed, the second broken material refers to the lack of broken material after the target mixture is mixed, and the particle size of the second broken material is smaller than that of the first broken material.

[0075] It can be understood that after the different sizes of the broken materials and the new aggregate are mixed into the target mixture in the S500 step, there will be excess broken materials and lack of broken materials. At this time, the excess broken materials can be crushed into the lack of broken materials. Therefore, the excess broken material after the target mixture is mixed is taken as the first broken material, the lack of broken material after the target mixture is mixed is taken as the second broken material, and the particle size of the second broken material is smaller than that of the first broken material. Subsequently, the broken screening device is controlled to change the first broken material into the second broken material through the broken screening process.

[0076] In this way, the use rate of the broken materials can be increased while the use amount of the new aggregate is reduced, so as to reduce the cost.

[0077] Optionally, the method further comprises: S740, the third broken material is cleaned in time. The third broken material refers to the excess broken material of the minimum size level after the target mixture is mixed.

[0078] It can be understood that the broken material of the minimum size level will gradually accumulate through the uninterrupted broken screening process. Therefore, the excess broken material of the minimum size level after the target mixture is mixed is taken as the third broken material, and the third broken material in the broken screening device is cleaned in time. The third broken material can be cleaned by manual cleaning or a transmission device.

[0079] In this way, the third broken material can be prevented from continuously accumulating and blocking the broken screening device.

[0080] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution. The execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0081] Corresponding to the milling material screening and crushing method based on gradation adjustment and optimization described in the above embodiments, the embodiments of the present application also provide a milling material screening and crushing device based on gradation adjustment and optimization. Each unit of the device can realize each step of the milling material screening and crushing method based on gradation adjustment and optimization. Figure 4A structure block diagram of the milling and planing material screening and crushing device based on gradation adjustment and optimization provided by the embodiments of the present application is shown. For ease of illustration, only parts related to the embodiments of the present application are shown.

[0082] With reference to Figure 4 The device comprises: A target gradation acquisition unit configured to acquire a target gradation set by a user; A gradation detection unit configured to detect an initial gradation of the milling and planing material; wherein the target gradation and the initial gradation use the same particle size classification rule; A crushing strategy and screening strategy determination unit configured to determine a crushing strategy and a screening strategy according to the target gradation and the initial gradation; wherein the crushing strategy comprises multiple crushing passes of different crushing particle sizes, and the screening strategy comprises multiple screening passes of different screening particle sizes; A crushing and screening unit configured to crush the milling and planing material multiple times according to the crushing strategy, and screen out qualified particles according to the screening passes of the screening strategy after each crushing pass, to obtain multiple piles of crushed materials of different particle sizes after all the crushing passes and screening passes are completed; A blending unit configured to obtain a blending strategy according to the target gradation, and blend the crushed materials of different particle sizes and new aggregate into a target mixture according to the blending strategy; A feedback unit configured to detect a first gradation of the target mixture, and adjust the crushing strategy, the screening strategy and the blending strategy according to the difference between the first gradation and the target gradation, to narrow the gap between the first gradation and the target gradation.

[0083] It should be noted that the information interaction and execution process between the above units are based on the same concept as the method embodiments of the present application, and the specific functions and technical effects brought by them can be referred to the method embodiments part, which will not be repeated here.

[0084] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units is taken as an example for illustration, and in actual application, the above functions can be completed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to complete all or part of the functions described above. Each functional unit in the embodiments can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or software. In addition, the specific names of the functional units are only for easy distinction, and do not limit the protection scope of the present application. The specific working process of the units in the above system can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0085] The embodiment of the present application also provides a milling material screening and crushing device based on grading adjustment and optimization, Figure 5 This is a schematic diagram of the structure of the milling material screening and crushing equipment based on grading adjustment and optimization provided in one embodiment of the present application. Figure 5 As shown, the control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization in this embodiment includes: at least one processor 50 ( Figure 5 Only one is shown), at least one memory 51 ( Figure 5 Only one is shown in the figure) and a computer program 52 stored in the at least one memory 51 and executable on the at least one processor 50. When the processor 50 executes the computer program 52, the control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization realizes the steps in any of the above-mentioned embodiments of the milling material screening and crushing method based on grading adjustment and optimization, or realizes the functions of each unit in the above-mentioned embodiments of each device.

[0086] For example, the computer program 52 can be divided into one or more units, which are stored in the memory 51 and executed by the processor 50 to implement the present application. The one or more units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 52 in the control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization.

[0087] The control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization can be a single chip microcomputer, a microprocessor, a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart screen, a smart TV, or a handheld device with wireless communication function. The control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization can include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will understand that Figure 5 It is only an example of the control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization, and does not constitute a limitation on the control device 5 of the milling material screening and crushing equipment based on grading adjustment and optimization. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, buses, etc.

[0088] The processor 50 can be a central processing unit (CPU), and can also be other general-purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0089] The memory 51 can be an internal storage unit of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization in some embodiments, such as a hard disk or a memory of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization. The memory 51 can also be an external storage device of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization. Further, the memory 51 can include both an internal storage unit and an external storage device of the control device 5 of the milling material screening and crushing equipment based on gradation adjustment and optimization. The memory 51 is used to store an operating system, an application program, a boot loader, data, and other programs, such as program codes of the computer program, etc. The memory 51 can also be used to temporarily store data that has been output or will be output.

[0090] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the steps in any of the above method embodiments.

[0091] The embodiments of the present application provide a computer program product. When the computer program product is run on the milling material screening and crushing equipment based on gradation adjustment and optimization, the milling material screening and crushing equipment based on gradation adjustment and optimization implements the steps in any of the above method embodiments.

[0092] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of each method embodiment described above can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms. The computer readable medium at least includes any entity or device capable of carrying the computer program code to the gradation adjustment and optimization based milling and screening crushing equipment, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium. For example, U disk, mobile hard disk, magnetic disk or optical disk, etc.

[0093] In the above embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0094] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0095] In the embodiments provided in the present application, it should be understood that the disclosed milling material screening and crushing method based on gradation adjustment and optimization, the milling material screening and crushing device based on gradation adjustment and optimization, and the milling material screening and crushing equipment based on gradation adjustment and optimization can be implemented in other manners. For example, the above-described milling material screening and crushing method based on gradation adjustment and optimization, the milling material screening and crushing device based on gradation adjustment and optimization, and the milling material screening and crushing equipment based on gradation adjustment and optimization are merely illustrative, for example, the division of the units is merely a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0096] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e., can be located in one place or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.

[0097] The above-described embodiments are merely used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced by equivalent replacements; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for screening and crushing milling materials based on grading adjustment and optimization, characterized in that: The method comprises: Get the target gradation set by the user; Detecting the initial gradation of the milled material; wherein the target gradation and the initial gradation use the same particle size classification rule; Determining a crushing strategy and a screening strategy based on the target gradation and the initial gradation; wherein the crushing strategy includes a plurality of crushing passes with different crushing particle sizes, and the screening strategy includes a plurality of screening passes with different screening particle sizes; The milling material is crushed multiple times according to the crushing strategy, and after each crushing pass, qualified particles are screened out according to the screening pass of the screening strategy, and multiple piles of crushed materials with different particle sizes are obtained after completing all crushing passes and screening passes; According to the target gradation, a blending strategy is obtained, and crushed materials and new aggregates of different particle sizes are blended into a target mixture according to the blending strategy; The first gradation of the target mixture is detected, and according to the difference between the first gradation and the target gradation, the crushing strategy, the screening strategy and the blending strategy are adjusted to narrow the gap between the first gradation and the target gradation.

2. The method for screening and crushing milled materials based on grading adjustment and optimization according to claim 1, characterized in that: The determining of the crushing strategy and the screening strategy according to the target gradation and the initial gradation includes: When the same first level exists in both the initial grading and the target grading, the upper limit of the particle size of the first level is used as the crushed particle size of the first crushing pass of the crushing strategy, and the lower limit of the particle size of the first level is used as the screening particle size of the screening pass of the screening strategy; wherein, the first level refers to the level in which the mass proportion of the particles is greater than the first threshold value, and the number of crushing passes of the crushing strategy is the same as the number of screening passes of the screening strategy, and they are in a corresponding relationship.

3. The method for screening and crushing milled material based on grading adjustment and optimization according to claim 2, characterized in that: The adjusting the crushing strategy, the screening strategy, and the blending strategy according to the difference between the first gradation and the target gradation includes: Calculating a similarity between the first gradation and the target gradation; When the similarity is less than a second threshold, comparing the mass proportions of particles of the same level in the first gradation and the target gradation to obtain a mass proportion difference array; Adjust the upper and lower limits of the levels in the particle size classification rule, or adjust the dosage of crushed material or new aggregate of the corresponding level in the blending strategy to reduce the items in the mass proportion difference array.

4. The method for screening and crushing milled material based on grading adjustment and optimization according to claim 1, characterized in that: After detecting the initial gradation of the milled material, the method further comprises: Calculating the similarity between the initial gradation and the target gradation; When the similarity is less than a third threshold, a warning signal is sent and the execution of the method is suspended; wherein the warning signal is used to warn the operator that the difference between the target gradation and the gradation of the milled material is too large; Waiting for and receiving a new target gradation set by the user or an instruction to ignore the warning, when the new target gradation is received, replacing the target gradation with the new target gradation and continuing to execute the method; when the instruction to ignore the warning is received, continuing to execute the method.

5. The method for screening and crushing milled material based on grading adjustment and optimization according to claim 1, characterized in that: After detecting the first gradation of the target mixture, the method further includes: Comparing the average particle sizes of particles of the same level in the first gradation and the target gradation to obtain an average particle size difference array; wherein the average particle size of a level in the target gradation is the middle value between the upper limit and the lower limit of the particle size of the level; The average particle size difference of the target level is obtained from the average particle size difference array, and when the absolute value of the average particle size difference of the target level is greater than a fourth threshold, the target level is subdivided into multiple new levels; wherein the target level is an arbitrary level.

6. The method for screening and crushing milled material based on grading adjustment and optimization according to claim 1, characterized in that: After the crushed materials and new aggregates of different particle sizes are mixed into the target mixture according to the mixing strategy, the method further includes: The first crushed material is transformed into the second crushed material through a crushing and screening process, which is used to prepare the target mixed material; wherein, the first crushed material refers to the excess crushed material after the target mixed material is prepared, and the second crushed material refers to the missing crushed material after the target mixed material is prepared, and the particle size of the second crushed material is smaller than that of the first crushed material.

7. The method for screening and crushing milled material based on grading adjustment and optimization according to claim 6, characterized in that: The method also includes: The third crushed material is cleaned regularly; wherein, the third crushed material refers to the excess crushed material of the minimum particle size layer after the target mixed material is prepared.

8. A milling material screening and crushing device based on grading adjustment and optimization, characterized in that: include: A target gradation obtaining unit is used to obtain a target gradation set by a user; A gradation detection unit, used to detect the initial gradation of the milled material; wherein the target gradation and the initial gradation use the same particle size classification rule; a crushing strategy and screening strategy determination unit, configured to determine a crushing strategy and a screening strategy based on the target gradation and the initial gradation; wherein the crushing strategy includes a plurality of crushing passes with different crushing particle sizes, and the screening strategy includes a plurality of screening passes with different screening particle sizes; A crushing and screening unit is used to perform multiple crushing passes on the milled material according to the crushing strategy, and after each crushing pass, to screen out qualified particles according to the screening pass of the screening strategy, and to obtain multiple piles of crushed materials with different particle sizes after completing all crushing and screening passes; A blending unit is configured to obtain a blending strategy based on the target gradation, and blend crushed materials and new aggregates of different particle sizes into a target mixture according to the blending strategy; A feedback unit is used to detect the first gradation of the target mixture, and adjust the crushing strategy, the screening strategy and the blending strategy according to the difference between the first gradation and the target gradation to narrow the gap between the first gradation and the target gradation.

9. A milling material screening and crushing device based on grading adjustment and optimization, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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