Control method of intelligent ladder flow dry separator and intelligent ladder flow dry separator

Abstract

The invention provides a control method of an intelligent ladder flow dry separator, the intelligent ladder flow dry separator and a control module applied to the intelligent ladder flow dry separator, and the control method comprises the steps that in the sorting process of the intelligent ladder flow dry separator, the actual feeding amount, the bed layer thickness and the dispersion degree of materials are obtained, and the gangue content of backwashing discharging is obtained; the backwashing amount is adjusted based on the difference value between the actual feeding amount and the preset feeding amount; the vibration frequency of the separation bed is adjusted based on the gangue content; and adjusting the frequency of the air supply fan based on the bed thickness and the dispersion. According to the fluidized bed, the fluidization of the bed layer can be adjusted, and the bed layer is kept in a proper fluidization state.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment sorting control, and in particular to a control method of an intelligent ladder flow dry sorter and an intelligent ladder flow dry sorter. Background Art

[0002] The intelligent ladder flow dry sorting machine sorts under the action of three force fields: wind, excitation and gravity. Since the force fields required for fluidization of raw coal of different density and particle size are different, the intelligent ladder flow dry sorting machine divides the coal flow into different gradients and assigns different force fields to each gradient, so that raw coal of different density and particle size has different fluidization states in each gradient, and the raw coal is completely stratified according to density, and then each layer is accurately cut out to achieve the purpose of accurate sorting. Therefore, the fluidization of the bed is the basis of equipment sorting. However, traditional equipment does not have the means to regulate the fluidization state. Summary of the invention

[0003] In view of this, an object of the present invention is to provide a control method and an intelligent cascade dry separator, which can adjust the fluidization of the bed and keep the bed in a suitable fluidized state.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is as follows: In the first aspect, the present invention provides a control method for an intelligent cascade dry separator, which is applied to a control module of the intelligent cascade dry separator, including: obtaining the actual feed amount, bed thickness and discreteness of the material, and obtaining the gangue content of the backwash discharge during the sorting process of the intelligent cascade dry separator; adjusting the backwash amount based on the difference between the actual feed amount and the preset feed amount; adjusting the vibration frequency of the sorting bed based on the gangue content; and adjusting the frequency of the air supply fan based on the bed thickness and discreteness.

[0005] Optionally, the actual material feed amount, bed thickness and discreteness are obtained, including: collecting the actual material feed amount through a belt scale set on the intelligent cascade dry sorting machine, and determining the difference between the actual feed amount and the preset feed amount; measuring the bed thickness and discreteness of the material on the sorting bed through a laser rangefinder.

[0006] Optionally, adjusting the backwash amount based on the difference between the actual feed amount and the preset feed amount includes: determining a frequency change of the backwash discharge wheel based on the difference between the actual feed amount and the preset feed amount, and adjusting the discharge frequency of the backwash discharge wheel based on the frequency change; wherein the frequency change of the backwash discharge wheel is:

[0007] in, is the frequency change of the backwash discharge wheel, To preset the feeding amount, is the actual amount of material fed, It is the discharge volume per unit frequency of the backwash discharge wheel.

[0008] Optionally, the vibration frequency of the sorting bed is adjusted based on the gangue content, including: obtaining the discharge frequency of the gangue discharge wheel; if the gangue content is greater than a preset value of the gangue content, increasing the vibration frequency of the sorting bed based on a predetermined correspondence between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed; if the gangue content is less than the preset value of the gangue content, reducing the vibration frequency of the sorting bed based on a predetermined correspondence between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed; wherein the discharge frequency of each gangue discharge wheel corresponds to a frequency range of the vibration frequency of the sorting bed.

[0009] Optionally, the bed thickness and dispersion of the material on the sorting bed are measured by a laser rangefinder, including: adjusting the laser beam diameter of the laser rangefinder to a preset range; collecting bed thickness scatter plot samples of the material on the sorting bed within the adjustment period by the laser rangefinder, and establishing a normal distribution curve of the scatter plot; calculating the normal distribution parameters of the normal distribution curve of the scatter plot, and determining the bed thickness and dispersion of the material on the sorting bed based on the normal distribution parameters; wherein the bed thickness is: h = m -0.5 mσ , the discreteness is: b = mσ , m and s is the normal distribution parameter, m The value range is [2,6].

[0010] Optionally, the frequency of the air supply fan is adjusted based on the bed thickness and the discreteness, including: if the bed thickness is less than a preset first bed thickness threshold, or the discreteness is greater than a preset first discreteness threshold, the frequency of the air supply fan is reduced; wherein the value by which the frequency of the air supply fan is reduced is a first preset value; if the bed thickness is greater than a preset second bed thickness threshold, or the discreteness is less than a preset second discreteness threshold, the frequency of the air supply fan is increased; wherein the value by which the frequency of the air supply fan is increased is a second preset value; the first bed thickness threshold is less than the second bed thickness threshold, and the first discreteness threshold is greater than the second discreteness threshold.

[0011] In the second aspect, the present invention provides an intelligent cascade dry sorting machine, comprising: a control module, a backwash discharge wheel, a gangue discharge wheel, an air supply fan and a sorting bed, the sorting bed comprising a vibration mechanism; wherein the control module adopts any control method provided in the first aspect above to adjust the backwash discharge wheel, the vibration mechanism of the sorting bed and the air supply fan.

[0012] Optionally, it also includes: a belt scale and a laser rangefinder; the belt scale is used to collect the actual input amount of the material; the laser rangefinder is used to collect the bed thickness and discreteness of the material on the sorting bed.

[0013] In a third aspect, the present invention provides an electronic device comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the steps of any one of the methods provided in the first aspect above.

[0014] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any one of the methods provided in the first aspect are executed.

[0015] The present invention brings the following beneficial effects: The control method and intelligent cascade dry sorting machine provided by the present invention are applied to the control module of the intelligent cascade dry sorting machine, which can obtain the actual material feed amount, bed thickness and discreteness, and the gangue content of the backwash discharge during the sorting process of the intelligent cascade dry sorting machine; adjust the backwash amount based on the difference between the actual feed amount and the preset feed amount; adjust the vibration frequency of the sorting bed based on the gangue content; and adjust the air supply fan frequency based on the bed thickness and discreteness. In the above control method, the backwash amount is adjusted by the difference between the actual feed amount and the preset feed amount, so that the influence of the feed amount on the fluidization fluctuation can be adjusted; by adjusting the vibration frequency of the sorting bed, the conveying speed of the bottom gangue can be adjusted, so that the influence of the gangue content on the fluidization fluctuation can be adjusted; the air supply fan is controlled by the bed thickness and discreteness, so that the influence of moisture and coal quality characteristics on the fluidization fluctuation can be adjusted. In summary, the above control method can adjust the influence of feed amount, gangue content, moisture, and coal quality characteristics on fluidization state fluctuations, so that the bed is kept in a suitable fluidization state, thereby ensuring accurate sorting of materials.

[0016] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the preferred embodiments are specifically mentioned below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flow chart of a control method of an intelligent ladder flow dry separator provided by an embodiment of the present invention; Figure 2 A partial structural schematic diagram of an intelligent ladder flow dry separator provided by an embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] At present, the intelligent cascade dry sorting machine divides the coal flow into different gradients, and gives different force fields to each gradient, so that the raw coal of different density and particle size has different fluidization states in each gradient, so that the raw coal can be completely stratified according to density, and then each layer can be accurately cut out to achieve the purpose of accurate sorting. Therefore, the fluidization of the bed is the basis of equipment sorting, and the fluidization is related to many parameters such as feed amount, gangue content, wind pressure, moisture, and coal quality characteristics. However, traditional equipment does not have the means to control the fluidization state.

[0022] Based on this, the embodiments of the present invention provide a control method for an intelligent ladder flow dry separator and an intelligent ladder flow dry separator, which can adjust the fluidization of the bed and keep the bed in a suitable fluidization state.

[0023] To facilitate understanding of this embodiment, a control method of an intelligent ladder flow dry separator disclosed in an embodiment of the present invention is first introduced in detail. The method is applied to a control module of the intelligent ladder flow dry separator and can be executed by an electronic device such as a smart phone, a computer, a tablet computer, etc. Figure 1 The flowchart of a control method of an intelligent ladder flow dry separator is shown, which illustrates that the method mainly includes the following steps S101 to S104: Step S101: During the sorting process of the intelligent cascade dry separator, the actual material input amount, bed thickness and dispersion are obtained, as well as the gangue content of the backwash discharge.

[0024] In one embodiment, the factor affecting the fluidization state is mainly the bed thickness, and the factors affecting the bed thickness include: feed amount, gangue content and air supply. In the embodiment of the present invention, the material fluidization can be ensured by controlling the feed amount to be fixed, the gangue to be fixed, and then ensuring uniform air supply. Based on this, in the embodiment of the present invention, the actual feed amount, bed thickness and discreteness of the material can be obtained during the sorting process of the intelligent ladder flow dry sorter, as well as the gangue content of the backwash discharge, to ensure the fluidization of the material.

[0025] Step S102: adjusting the backwashing amount based on the difference between the actual feed amount and the preset feed amount.

[0026] In one embodiment, the backwashing amount can be used to compensate for the fluctuation of the feed amount, thereby ensuring that the feed amount remains constant. Specifically, the backwashing amount can be adjusted according to the difference between the actual feed amount and the preset feed amount, thereby supplementing the feed amount.

[0027] Step S103: adjusting the vibration frequency of the separation bed based on the gangue content.

[0028] In one embodiment, the gangue content in the feed can be inferred based on the gangue content in the backwash discharge. When the gangue content in the feed changes, the vibration frequency of the sorting bed can be adjusted to change the conveying speed of the material at the bottom of the sorting bed, thereby ensuring that the gangue content is fixed.

[0029] Step S104: adjusting the frequency of the air supply fan based on the bed thickness and the dispersion.

[0030] In one embodiment, when the bed thickness is within a certain range, it indicates that the fluidization is better; when the bed thickness is too small, it indicates that the air supply is too large and the material floats away from the sorting bed; when the bed thickness is too large, it indicates that the air supply is too small and fluidization has not been achieved. The discreteness is the height range of the material mobilization on the top layer of the sorting bed. When the discreteness is within a certain range, it indicates that the fluidization is better; when the discreteness is too small, it indicates that the air supply is too small and fluidization has not been achieved; when the discreteness is too large, it indicates that the air supply is too large and the material floats away from the sorting bed. Note once again that in the embodiment of the present invention, the air supply fan frequency can be adjusted according to the bed thickness and discreteness to make the air supply uniform, and the bed thickness and discreteness are kept within a suitable range, thereby ensuring that the material remains fluidized.

[0031] It should be noted that there is no limitation on the specific execution order of step S102 , step S103 and step S104 , and they can be adjusted in any order or simultaneously.

[0032] The control method of the above-mentioned intelligent ladder flow dry sorting machine provided by the present invention can adjust the backwash amount by the difference between the actual feed amount and the preset feed amount, so as to adjust the influence of the feed amount on the fluidization fluctuation; by adjusting the vibration frequency of the sorting bed, the conveying speed of the bottom gangue can be adjusted, so as to adjust the influence of the gangue content on the fluidization fluctuation; by controlling the air supply fan through the bed thickness and discreteness, it is possible to adjust the influence of moisture and coal quality characteristics on fluidization fluctuation. In summary, the above-mentioned control method can adjust the influence of feed amount, gangue content, moisture, and coal quality characteristics on fluidization fluctuation, so as to keep the bed in a suitable fluidized state, thereby ensuring accurate sorting of materials.

[0033] In one embodiment, for the aforementioned step S101, that is, when obtaining the actual material input amount, bed thickness and discreteness, the following methods may be used, including but not limited to: Firstly, the actual material input amount is collected by the belt scale installed on the intelligent cascade dry separator, and the difference between the actual input amount and the preset input amount is determined.

[0034] In specific implementation, a belt scale is provided on the intelligent cascade dry separator. When the material enters the intelligent cascade dry separator, the actual material input amount can be collected by the belt scale, and then the difference between the actual input amount and the preset input amount can be determined. The backwash amount can be adjusted according to the difference between the actual input amount and the preset input amount, thereby supplementing the material input amount.

[0035] Then, the bed thickness and dispersion of the materials on the sorting bed are measured by a laser rangefinder.

[0036] In one embodiment, the bed thickness and discreteness of the material on the sorting bed can be measured in the following manner: first, the laser beam diameter of the laser rangefinder is adjusted to a preset range; then, the laser rangefinder collects bed thickness scatter plot samples of the material on the sorting bed within the adjustment period, and establishes a normal distribution curve of the scatter plot; finally, the normal distribution parameters of the normal distribution curve of the scatter plot are calculated, and the bed thickness and discreteness of the material on the sorting bed are determined based on the normal distribution parameters.

[0037] In specific implementation, the intelligent ladder flow dry sorting machine is provided with a laser rangefinder, which can measure the bed thickness and discreteness of the material on the sorting bed by emitting a laser beam to the material on the sorting bed. Specifically, during measurement, in order to improve the measurement accuracy, it is necessary to adjust the laser beam diameter to a preset range, that is, the diameter range of the jumping particles on the fluidized bed of the material, which is generally 1.5-4mm; then collect bed thickness scatter plot samples of the material on the sorting bed within an adjustment cycle (5-15min). In this embodiment, the number of samples is required to be greater than 1000, establish a normal distribution curve of the scatter plot, and calculate the normal distribution parameters of the normal distribution curve of the scatter plot. m and s , and finally according to the normal distribution parameters m and s Determine the bed thickness and dispersion of the material on the sorting bed; where the bed thickness is: h = m -0.5 mσ , the discreteness is: b = mσ , m and s is the normal distribution parameter, m The value range is [2,6].

[0038] It should be noted that the gangue content can be obtained by using existing gangue content detection methods, such as chemical composition detection, phase analysis, thermogravimetric analysis, etc., which will not be described in detail here.

[0039] In one embodiment, for the aforementioned step S102, that is, when the backwash amount is adjusted based on the difference between the actual feed amount and the preset feed amount, the following methods may be used, including but not limited to: determining the frequency change of the backwash discharge wheel based on the difference between the actual feed amount and the preset feed amount, and adjusting the discharge frequency of the backwash discharge wheel based on the frequency change; wherein the frequency change of the backwash discharge wheel is:

[0040] in, is the frequency change of the backwash discharge wheel, To preset the feeding amount, is the actual amount of material fed, It is the discharge volume per unit frequency of the backwash discharge wheel.

[0041] In specific implementation, the frequency change of the backwash discharge wheel can be calculated according to the above formula, and then the backwash discharge wheel can be adjusted according to the frequency change, so as to adjust the backwash amount and supplement the actual feed amount to reach the preset feed amount.

[0042] In one embodiment, for the aforementioned step S103, that is, when the vibration frequency of the separation bed is adjusted based on the gangue content, the following methods may be adopted, including but not limited to: First, obtain the discharge frequency of the gangue discharge wheel.

[0043] Then, if the gangue content is greater than the preset value of the gangue content, the vibration frequency of the sorting bed is increased based on the correspondence between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed; if the gangue content is less than the preset value of the gangue content, the vibration frequency of the sorting bed is reduced based on the correspondence between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed; wherein the discharge frequency of each gangue discharge wheel corresponds to a frequency range of the vibration frequency of the sorting bed.

[0044] In specific implementation, if the gangue content is greater than the preset value of the gangue content, it indicates that the gangue content in the feed is high. In this case, the vibration frequency of the sorting bed is increased according to the discharge frequency of the gangue discharge wheel, thereby increasing the bottom material conveying speed and making the thickness of the gangue layer not too thick; if the gangue content is less than the preset value of the gangue content, it indicates that the gangue content in the feed is low. In this case, the vibration frequency of the sorting bed is reduced according to the discharge frequency of the gangue discharge wheel, thereby reducing the bottom material conveying speed and making the thickness of the gangue layer not too thin.

[0045] Specifically, the corresponding relationship between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed is preset, and the discharge frequency of each gangue discharge wheel corresponds to a frequency range of the vibration frequency of the sorting bed. During the adjustment process, the vibration frequency of the sorting bed can be adjusted according to the discharge frequency of the gangue discharge wheel to change the movement speed of the bed gangue. For example: assuming that the discharge frequency of the gangue discharge wheel is 10Hz, and the corresponding frequency range of the vibration frequency of the sorting bed is 30-33Hz, when the current discharge frequency of the gangue discharge wheel is detected to be 10Hz, the vibration frequency of the sorting bed is adjusted within the range of 30-33Hz. If the gangue content is greater than the preset value of the gangue content, the vibration frequency of the sorting bed is increased within the range of 30-33Hz, and if the gangue content is less than the preset value of the gangue content, the vibration frequency of the sorting bed is reduced within the range of 30-33Hz.

[0046] In one embodiment, for the aforementioned step S104, that is, when the frequency of the air supply fan is adjusted based on the bed thickness and the discreteness, the following methods may be adopted, including but not limited to: if the bed thickness is less than a preset first bed thickness threshold, or the discreteness is greater than a preset second discreteness threshold, the frequency of the air supply fan is reduced by a first preset value; if the bed thickness is greater than a preset second bed thickness threshold, or the discreteness is less than a preset first discreteness threshold, the frequency of the air supply fan is increased by a second preset value; wherein the first bed thickness threshold is less than the second bed thickness threshold, and the first discreteness threshold is less than the second discreteness threshold.

[0047] In specific implementation, the reasonable bed thickness range of the separation bed is pre-set as h 1- h 2. The reasonable discrete range is b 1-b 2. When the bed thickness is less than the preset first bed thickness threshold (i.e. h < h 1), or the discreteness is greater than the preset second discreteness threshold (i.e. b > b 2), it indicates that the wind of the air supply fan is too strong, and the frequency of the air supply fan is reduced; wherein the frequency of the air supply fan is reduced by a first preset value ( oh 1, the value range is 1-3Hz), that is, the frequency of the air supply fan is reduced by the first preset value oh 1; When the bed thickness is greater than the preset second bed thickness threshold (i.e. h > h 2), or the discreteness is less than the preset first discreteness threshold (i.e. b < b 1), it indicates that the wind of the air supply fan is too small, and the frequency of the air supply fan is increased; wherein, the value of the increase in the frequency of the air supply fan is the second preset value ( oh 2, the value range is 1-3Hz), that is, the frequency of the air supply fan is increased by the second preset value oh 2. No adjustments will be made in other cases.

[0048] The above-mentioned control method provided by the embodiment of the present invention adjusts the influence of the feed amount on the fluidization fluctuation by the backwash amount; adjusts the conveying speed of the bottom gangue by the vibration frequency of the sorting bed, thereby adjusting the influence of the gangue content of the feed on the fluidization fluctuation; controls the wind pressure by discrete detection of the bed layer (i.e., bed thickness and discreteness detection), maintains the bed layer in a suitable fluidization state, and adjusts the influence of moisture and coal quality characteristics on fluidization fluctuation.

[0049] The embodiment of the present invention also provides an intelligent ladder flow dry separator, see Figure 2 As shown, it includes: a control module (not shown), a backwash discharge wheel, a gangue discharge wheel, an air supply fan and a sorting bed, and the sorting bed includes a vibration mechanism; wherein the control module adopts the control method provided in the aforementioned embodiment to adjust the backwash discharge wheel, the vibration mechanism of the sorting bed and the air supply fan, thereby adjusting the influence of the feed amount, gangue content, moisture, and coal quality characteristics on the fluidization state fluctuation.

[0050] In one embodiment, the preset feed amount of the device is set to Q , calculate the actual feed amount q With the preset feed amount Q The difference is calculated by backwashing to supplement the feed volume to ensure that the feed volume remains constant.

[0051] Detect the gangue content in the backwash discharge. When the gangue content is greater than the preset value, it means that the gangue content in the feed increases. When the gangue content in the feed increases, the vibration frequency of the sorting bed is increased according to the discharge frequency of the gangue discharge wheel, thereby increasing the bottom material conveying speed. When the amount of gangue in the feed decreases, the vibration frequency of the sorting bed is reduced according to the discharge frequency of the gangue discharge wheel, and the bottom material conveying speed is reduced to keep the thickness of the gangue layer within the adaptation range.

[0052] Measurement of bed thickness by laser rangefinder h With discreteness b Range, when h < h 1, b > b 2, the air supply fan reduces the corresponding frequency oh 1. When h > h 2, b < b 1, the air supply fan increases the corresponding frequency oh 2; No adjustment will be made for other situations. Figure 2 As shown, the intelligent ladder flow dry sorting machine also includes an array wind chamber and a multi-aperture air distribution plate. When the air supply fan is running, the wind can pass through the array wind chamber and the multi-aperture air distribution plate to sort the bed.

[0053] The above-mentioned intelligent ladder flow dry sorting machine provided by the present invention can adjust the backwash amount by adjusting the discharge frequency of the backwash discharge wheel, so as to adjust the influence of the feed amount on the fluidization fluctuation; by adjusting the vibration frequency of the sorting bed, it can adjust the conveying speed of the bottom gangue, so as to adjust the influence of the gangue content on the fluidization fluctuation; by controlling the bed thickness and discreteness, the air supply fan can be controlled, so as to adjust the influence of moisture and coal quality characteristics on fluidization fluctuation. In summary, the above-mentioned control method can adjust the influence of feed amount, gangue content, moisture, and coal quality characteristics on fluidization fluctuation, so as to keep the bed in a suitable fluidized state, thereby ensuring accurate sorting of materials.

[0054] In one embodiment, the intelligent ladder flow dry sorting machine further includes: a belt scale and a laser rangefinder; the belt scale is used to collect the actual input amount of the material; the laser rangefinder is used to collect the bed thickness and dispersion of the material on the sorting bed. The specific measurement method can be found in the above embodiment.

[0055] It should be noted that the intelligent ladder flow dry separator provided in the embodiment of the present invention has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brief description, for the parts not mentioned in the embodiment of the intelligent ladder flow dry separator, reference can be made to the corresponding contents in the aforementioned method embodiment. The specific numerical values ​​provided in the implementation of the present invention are only exemplary and are not limited here.

[0056] An embodiment of the present invention further provides an electronic device. Specifically, the electronic device includes a processor and a storage device. The storage device stores a computer program, and when the computer program is executed by the processor, it executes the method described in any one of the above implementation methods.

[0057] Figure 3 A structural diagram of an electronic device provided in an embodiment of the present invention, the electronic device 100 includes: a processor 30, a memory 31, a bus 32 and a communication interface 33, wherein the processor 30, the communication interface 33 and the memory 31 are connected via the bus 32; the processor 30 is used to execute an executable module stored in the memory 31, such as a computer program.

[0058] The memory 31 may include a high-speed random access memory (RAM), and may also include a non-volatile memory, such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 33 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0059] The bus 32 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0060] Among them, the memory 31 is used to store programs, and the processor 30 executes the program after receiving the execution instruction. The method executed by the device for flow process definition disclosed in any embodiment of the above-mentioned embodiments of the present invention can be applied to the processor 30 or implemented by the processor 30.

[0061] The processor 30 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the processor 30. The above processor 30 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor to be executed, or the hardware and software modules in the decoding processor can be executed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 31, and the processor 30 reads the information in the memory 31 and completes the steps of the above method in combination with its hardware.

[0062] The computer program product of the readable storage medium provided in the embodiment of the present invention includes a computer-readable storage medium storing program code, and the instructions included in the program code can be used to execute the methods described in the previous method embodiments. The specific implementation can be referred to the previous method embodiments, which will not be repeated here.

[0063] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0064] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes 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 invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A control method for an intelligent ladder flow dry separator, characterized in that: The control module used in the intelligent ladder dry separator includes: During the sorting process of the intelligent cascade dry separator, the actual material input amount, bed thickness and dispersion are obtained, as well as the gangue content of the backwash discharge; Adjusting the backwash amount based on the difference between the actual feed amount and the preset feed amount; Adjusting the vibration frequency of the separation bed based on the gangue content; adjusting the frequency of the air supply fan based on the bed thickness and the discreteness; The vibration frequency of the sorting bed is adjusted based on the gangue content, including: obtaining the discharge frequency of the gangue discharge wheel; if the gangue content is greater than a preset value of the gangue content, increasing the vibration frequency of the sorting bed based on a predetermined correspondence between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed; if the gangue content is less than the preset value of the gangue content, reducing the vibration frequency of the sorting bed based on a predetermined correspondence between the discharge frequency of the gangue discharge wheel and the vibration frequency of the sorting bed; wherein each discharge frequency of the gangue discharge wheel corresponds to a frequency range of the vibration frequency of the sorting bed.

2. The control method according to claim 1, characterized in that: Obtain the actual material input, bed thickness and dispersion, including: The actual feeding amount of the material is collected by a belt scale arranged on the intelligent ladder flow dry separator, and the difference between the actual feeding amount and the preset feeding amount is determined; The bed thickness and dispersion of the material on the sorting bed are measured by a laser rangefinder.

3. The control method according to claim 2, characterized in that: The backwash amount is adjusted based on the difference between the actual feed amount and the preset feed amount, including: The frequency change of the backwash discharge wheel is determined based on the difference between the actual feed amount and the preset feed amount, and the discharge frequency of the backwash discharge wheel is adjusted based on the frequency change; wherein the frequency change of the backwash discharge wheel is: in, is the frequency change of the backwash discharge wheel, To preset the feeding amount, is the actual feed amount of the material, It is the discharge volume per unit frequency of the backwash discharge wheel.

4. The control method according to claim 2, characterized in that: Measuring the bed thickness and dispersion of the material on the sorting bed by a laser rangefinder includes: Adjust the laser beam diameter of the laser rangefinder to a preset range; Collecting bed thickness scatter plot samples of the material on the sorting bed within the adjustment period by means of the laser rangefinder, and establishing a normal distribution curve of the scatter plot; Calculate the normal distribution parameters of the normal distribution curve of the scatter plot, and determine the bed thickness and dispersion of the material on the sorting bed based on the normal distribution parameters; wherein the bed thickness is: h = μ -0.5 mσ , the discreteness is: b = m σ , μ and σ is the normal distribution parameter, m The value range is [2,6].

5. The control method according to claim 4, characterized in that: Adjusting the frequency of the air supply fan based on the bed thickness and the discreteness includes: If the bed thickness is less than a preset first bed thickness threshold, or the dispersion is greater than a preset first dispersion threshold, the frequency of the air supply fan is reduced; wherein the value by which the frequency of the air supply fan is reduced is a first preset value; If the bed thickness is greater than a preset second bed thickness threshold, or the discreteness is less than a preset second discreteness threshold, the frequency of the air supply fan is increased; wherein the value by which the frequency of the air supply fan is increased is a second preset value; the first bed thickness threshold is less than the second bed thickness threshold, and the first discreteness threshold is greater than the second discreteness threshold.

6. An intelligent ladder flow dry separator, characterized in that: include: A control module, a backwash discharge wheel, a gangue discharge wheel, an air supply fan and a sorting bed, wherein the sorting bed includes a vibration mechanism; wherein the control module adopts the control method described in any one of claims 1 to 5 to adjust the backwash discharge wheel, the vibration mechanism of the sorting bed and the air supply fan.

7. The intelligent ladder flow dry separator according to claim 6, characterized in that: Also includes: belt scales and laser distance meters; The belt scale is used to collect the actual input amount of materials; The laser rangefinder is used to collect the bed thickness and dispersion of the material on the sorting bed.

8. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the steps of the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are executed.

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