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

Abstract

The present invention provides a control method for an intelligent ladder-flow dry separator and an intelligent ladder-flow dry separator, which are applied to the control module of the intelligent ladder-flow dry separator, and include: during the separation process of the intelligent ladder-flow dry separator, obtaining the actual feed rate, bed thickness and dispersion degree of the material, and obtaining the gangue content of the backwashing and discharging; adjusting the backwashing amount based on the difference between the actual feed rate and the preset feed rate; 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 dispersion degree. The present invention can adjust the fluidization state of the bed layer and maintain the bed layer in a suitable 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 for an intelligent ladder flow dry coal separator and an intelligent ladder flow dry coal separator. Background Art

[0002] The intelligent ladder flow dry coal separator performs sorting under the action of three force fields: wind force, vibration force, and gravity. Since the force fields required for the fluidization of raw coal with different densities and particle sizes are different, the intelligent ladder flow dry coal separator divides the coal flow into different gradients, assigns different force fields to each gradient, so that the fluidization states of raw coal with different densities and particle sizes are different in each gradient, realizes the complete stratification of raw coal by density, and then accurately cuts out each layer to achieve the purpose of accurate sorting. Therefore, the fluidization of the bed layer is the basis for the sorting of the equipment. However, traditional equipment does not have means for regulating the fluidization state. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a control method for an intelligent ladder flow dry coal separator and an intelligent ladder flow dry coal separator, which can adjust the fluidization of the bed layer and maintain the bed layer in a suitable fluidization state.

[0004] To achieve the above purpose, the technical scheme adopted by the present invention is as follows:

[0005] In the first aspect, the present invention provides a control method for an intelligent ladder flow dry coal separator, which is applied to the control module of the intelligent ladder flow dry coal separator, and includes: during the sorting process of the intelligent ladder flow dry coal separator, obtaining the actual feed rate, bed layer thickness, and dispersion degree of the material, and obtaining the gangue content of the backwashing and discharging; adjusting the backwashing amount based on the difference between the actual feed rate and the preset feed rate; adjusting the vibration frequency of the sorting bed based on the gangue content; adjusting the frequency of the air supply fan based on the bed layer thickness and dispersion degree.

[0006] Optionally, obtaining the actual feed rate, bed layer thickness, and dispersion degree of the material includes: collecting the actual feed rate of the material through a belt scale provided on the intelligent ladder flow dry coal separator, and determining the difference between the actual feed rate and the preset feed rate; measuring the bed layer thickness and dispersion degree of the material on the sorting bed through a laser rangefinder.

[0007] Optionally, adjusting the backwashing amount based on the difference between the actual feed rate and the preset feed rate includes: determining the frequency change amount of the backwashing discharge wheel based on the difference between the actual feed rate and the preset feed rate, and adjusting the discharge frequency of the backwashing discharge wheel based on the frequency change amount; wherein, the frequency change amount of the backwashing discharge wheel is:

[0008]

[0009] Wherein, is the frequency change amount of the backwashing discharge wheel, is the preset feed rate, is the actual feeding amount of the material, is the discharging amount per unit frequency of the backwashing discharging wheel.

[0010] Optionally, adjust the vibration frequency of the separation bed based on the gangue content, including: obtaining the discharging frequency of the gangue discharging wheel; if the gangue content is greater than the preset gangue content value, increase the vibration frequency of the separation bed based on the corresponding relationship between the preset discharging frequency of the gangue discharging wheel and the vibration frequency of the separation bed; if the gangue content is less than the preset gangue content value, decrease the vibration frequency of the separation bed based on the corresponding relationship between the preset discharging frequency of the gangue discharging wheel and the vibration frequency of the separation bed; wherein, the discharging frequency of each gangue discharging wheel corresponds to a frequency range of the vibration frequency of a separation bed.

[0011] Optionally, measure the bed layer thickness and dispersion of the material on the separation bed by a laser rangefinder, including: adjusting the laser beam diameter of the laser rangefinder to a preset range; collecting a sample of the bed layer thickness scatter diagram of the material on the separation bed during the adjustment period by the laser rangefinder and establishing a normal distribution curve of the scatter diagram; calculating the normal distribution parameters of the normal distribution curve of the scatter diagram and determining the bed layer thickness and dispersion of the material on the separation bed based on the normal distribution parameters; wherein, the bed layer thickness is: h = μ -0.5 mσ , and the dispersion is: b = mσ , μ and σ are the normal distribution parameters, m and the value range is [2, 6].

[0012] Optionally, adjust the frequency of the air supply fan based on the bed layer thickness and dispersion, including: if the bed layer thickness is less than the preset first bed layer thickness threshold, or the dispersion is greater than the preset first dispersion threshold, then reduce the frequency of the air supply fan; wherein, the reduced value of the frequency of the air supply fan is the first preset value; if the bed layer thickness is greater than the preset second bed layer thickness threshold, or the dispersion is less than the preset second dispersion threshold, then increase the frequency of the air supply fan; wherein, the increased value of the frequency of the air supply fan is the second preset value; the first bed layer thickness threshold is less than the second bed layer thickness threshold, and the first dispersion threshold is greater than the second dispersion threshold.

[0013] In a second aspect, the present invention provides an intelligent ladder flow dry separation machine, including: a control module, a backwashing discharging wheel, a gangue discharging wheel, an air supply fan, and a separation bed, and the separation bed includes a vibration mechanism; wherein, the control module adjusts the backwashing discharging wheel, the vibration mechanism of the separation bed, and the air supply fan by using any one of the control methods provided in the first aspect above.

[0014] Optionally, it further includes: a belt scale and a laser rangefinder; the belt scale is used to collect the actual feeding amount of the material; the laser rangefinder is used to collect the bed thickness and dispersion degree of the material on the sorting bed.

[0015] In a third aspect, the present invention provides an electronic device, including a processor and a memory. 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 provided in any one of the above first aspects.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it executes the steps of the method provided in any one of the above first aspects.

[0017] The present invention brings the following beneficial effects:

[0018] The control method of the intelligent ladder-flow dry separation machine and the intelligent ladder-flow dry separation machine provided by the present invention are applied to the control module of the intelligent ladder-flow dry separation machine. During the sorting process of the intelligent ladder-flow dry separation machine, it can obtain the actual feeding amount, bed thickness and dispersion degree of the material, and obtain the gangue content of the backwashing and discharging; adjust the backwashing amount based on the difference between the actual feeding amount and the preset feeding amount; adjust the vibration frequency of the sorting bed based on the gangue content; adjust the frequency of the air supply fan based on the bed thickness and dispersion degree. In the above control method, the backwashing amount is adjusted by the difference between the actual feeding amount and the preset feeding amount, so as to be able to adjust the influence of the feeding 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 be able to adjust the influence of the gangue content on the fluidization fluctuation; the air supply fan is controlled by the bed thickness and dispersion degree, so as to be able to adjust the influence of moisture and coal quality characteristics on the fluidization state fluctuation. In summary, the above control method can adjust the influence of the feeding amount, gangue content, moisture and coal quality characteristics on the fluidization state fluctuation, keep the bed in a suitable fluidization state, and thus ensure the accurate sorting of the material.

[0019] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention are achieved and obtained by the structures specifically pointed out in the specification, claims and drawings.

[0020] To make the above objectives, features and advantages of the present invention more obvious and understandable, the following specific embodiments are given, and in conjunction with the accompanying drawings, detailed descriptions are as follows. Description of the Drawings

[0021] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0022] Figure 1 It is a flowchart of a control method for an intelligent ladder-flow dry separator provided by an embodiment of the present invention;

[0023] Figure 2 It is a partial structural schematic diagram of an intelligent ladder-flow dry separator provided by an embodiment of the present invention;

[0024] Figure 3 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. Specific Embodiments

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions of the present invention with reference to the drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0026] Currently, the intelligent ladder-flow dry separator divides the coal flow into different gradients, assigns different force fields to each gradient, so that the raw coal with different densities and particle sizes has different fluidization states in each gradient, realizes the complete stratification of the raw coal according to density, and then accurately cuts out each layer to achieve the purpose of accurate separation. Therefore, the fluidization of the bed layer is the basis for the separation of the equipment, and the fluidization is related to many parameters such as the feed rate, gangue content rate, wind pressure, moisture content, and coal quality characteristics. However, traditional equipment has no means to regulate the fluidization state.

[0027] Based on this, a control method for an intelligent ladder-flow dry separator and an intelligent ladder-flow dry separator provided by an embodiment of the present invention can adjust the fluidization of the bed layer and keep the bed layer in a suitable fluidization state.

[0028] To facilitate the understanding of this embodiment, first, a detailed introduction will be given to a control method for an intelligent ladder-flow dry separator disclosed in an embodiment of the present invention. This method is applied to the 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. Refer to Figure 1 The flowchart of a control method for an intelligent ladder-flow dry separator shown, which indicates that the method mainly includes the following steps S101 to step S104:

[0029] Step S101: During the sorting process of the intelligent ladder-flow dry separator, obtain the actual feed rate, bed thickness, and dispersion of the material, and obtain the gangue content of the backwashing and discharging.

[0030] In one embodiment, the influencing factors of the fluidized state are mainly the bed thickness, and the factors affecting the bed thickness include: feed rate, gangue content, and air supply. In the embodiments of the present invention, the fluidization of the material can be ensured by controlling the fixed feed rate and fixed gangue, and then ensuring uniform air supply. Based on this, in the sorting process of the intelligent ladder-flow dry separator in the embodiments of the present invention, the actual feed rate, bed thickness, and dispersion of the material can be obtained, and the gangue content of the backwashing and discharging can be obtained to ensure the fluidization of the material.

[0031] Step S102: Adjust the backwashing amount based on the difference between the actual feed rate and the preset feed rate.

[0032] In one embodiment, the fluctuation of the feed rate can be compensated by the backwashing amount, so as to ensure that the feed rate remains constant. Specifically, the backwashing amount can be adjusted according to the difference between the actual feed rate and the preset feed rate, so as to supplement the feed rate.

[0033] Step S103: Adjust the vibration frequency of the sorting bed based on the gangue content.

[0034] In one embodiment, the gangue content in the feed can be inferred according to the gangue content in the backwashing and discharging. 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 bottom layer material of the sorting bed, so as to ensure that the gangue content is fixed.

[0035] Step S104: Adjust the frequency of the air supply fan based on the bed thickness and dispersion.

[0036] In one embodiment, when the bed thickness is within a certain range, it indicates that the fluidization is good; 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 the fluidization is not achieved. The dispersion is the height range of the movement of the top layer material of the sorting bed. When the dispersion is within a certain range, it indicates that the fluidization is good; when the dispersion is too small, it indicates that the air supply is too small and the fluidization is not achieved; when the dispersion is too large, it indicates that the air supply is too large and the material floats away from the sorting bed. It should be noted that in the embodiments of the present invention, the frequency of the air supply fan can be adjusted according to the bed thickness and dispersion, so that the air supply is uniform, and the bed thickness and dispersion are kept within a suitable range, so as to ensure that the material remains fluidized.

[0037] It should be noted that there is no specific execution order between Step S102, Step S103, and Step S104, and they can be adjusted in any order or adjusted simultaneously.

[0038] The control method of the intelligent ladder-flow dry separator provided by the present invention adjusts the backwashing amount according to the difference between the actual feeding amount and the preset feeding amount, so as to be able to adjust the influence of the feeding amount on the fluidization fluctuation; by adjusting the vibration frequency of the separation bed, the conveying speed of the bottom gangue can be adjusted, so as to be able to adjust the influence of the gangue content on the fluidization fluctuation; by controlling the air supply fan according to the bed layer thickness and dispersion, the influence of moisture and coal quality characteristics on the fluidization state fluctuation can be adjusted. In summary, the above control method can adjust the influence of the feeding amount, gangue content, moisture, and coal quality characteristics on the fluidization state fluctuation, keep the bed layer in a suitable fluidization state, and thus ensure the accurate separation of materials.

[0039] In one embodiment, for the aforementioned step S101, that is, when obtaining the actual feeding amount, bed layer thickness, and dispersion of the material, the following methods may be included but are not limited to:

[0040] First, collect the actual feeding amount of the material through the belt scale set on the intelligent ladder-flow dry separator, and determine the difference between the actual feeding amount and the preset feeding amount.

[0041] In specific implementation, a belt scale is set on the intelligent ladder-flow dry separator. When the material enters the intelligent ladder-flow dry separator, the actual feeding amount of the material can be collected through the belt scale, and then the difference between the actual feeding amount and the preset feeding amount is determined. The backwashing amount is adjusted according to the difference between the actual feeding amount and the preset feeding amount, so as to supplement the feeding amount of the material.

[0042] Then, measure the bed layer thickness and dispersion of the material on the separation bed through a laser rangefinder.

[0043] In one embodiment, the following method can be used to measure the bed layer thickness and dispersion of the material on the separation bed: first, adjust the laser beam diameter of the laser rangefinder to a preset range; then collect the bed layer thickness scatter plot samples of the material on the separation bed within an adjustment period through the laser rangefinder, and establish the normal distribution curve of the scatter plot; finally, calculate the normal distribution parameters of the normal distribution curve of the scatter plot, and determine the bed layer thickness and dispersion of the material on the separation bed based on the normal distribution parameters.

[0044] In specific implementation, a laser rangefinder is set on the intelligent ladder-flow dry separator. The laser rangefinder can measure the bed layer thickness and dispersion of the material on the separation bed by emitting a laser beam to the material on the separation bed. Specifically, when measuring, in order to improve the measurement accuracy, the laser beam diameter needs to be adjusted to a preset range, that is, the diameter range of the jumping particles on the fluidized bed layer of the material flow, generally 1.5 - 4 mm; then collect the bed layer thickness scatter plot samples of the material on the separation bed within an adjustment period (5 - 15 min). In this embodiment, the number of samples is required to be greater than 1000, establish the normal distribution curve of the scatter plot, and calculate the normal distribution parameters of the normal distribution curve of the scatter plot.μ and σ , and finally, according to the normal distribution parameters μ and σ determine the bed thickness and dispersion degree of the material on the sorting bed; wherein, the bed thickness is: h = μ -0.5 mσ , and the dispersion degree is: b = mσ , μ and σ are the normal distribution parameters, m and the value range is [2, 6].

[0045] It should be noted that for the gangue content, existing gangue content detection methods can be used, such as chemical composition detection, phase analysis, thermogravimetric analysis, etc., which will not be elaborated here.

[0046] In one implementation, for the aforementioned step S102, that is, when adjusting the backwashing amount based on the difference between the actual feed amount and the preset feed amount, the following methods can be adopted, including but not limited to: determining the frequency change amount of the backwashing discharge wheel based on the difference between the actual feed amount and the preset feed amount, and adjusting the discharge frequency of the backwashing discharge wheel based on the frequency change amount; wherein, the frequency change amount of the backwashing discharge wheel is:

[0047]

[0048] Wherein, is the frequency change amount of the backwashing discharge wheel, is the preset feed amount, is the actual feed amount of the material, is the discharge amount per unit frequency of the backwashing discharge wheel.

[0049] In specific implementation, the frequency change amount of the backwashing discharge wheel can be calculated according to the above formula, and then the backwashing discharge wheel can be adjusted according to the frequency change amount, so as to realize the adjustment of the backwashing amount and supplement the actual feed amount to make it reach the preset feed amount.

[0050] In one implementation, for the aforementioned step S103, that is, when adjusting the vibration frequency of the sorting bed based on the gangue content, the following methods can be adopted, including but not limited to:

[0051] First, obtain the discharge frequency of the gangue discharge wheel.

[0052] Then, if the gangue content is greater than the preset gangue content value, the corresponding relationship between the discharge frequency of the preset gangue discharge wheel and the vibration frequency of the separation bed increases the vibration frequency of the separation bed; if the gangue content is less than the preset gangue content value, the vibration frequency of the separation bed is decreased based on the corresponding relationship between the discharge frequency of the preset gangue discharge wheel and the vibration frequency of the separation bed; wherein, the discharge frequency of each gangue discharge wheel corresponds to a frequency range of the vibration frequency of a separation bed.

[0053] In specific implementation, if the gangue content is greater than the preset gangue content value, it indicates that the gangue content in the feed is relatively high. Then, according to the discharge frequency of the gangue discharge wheel, the vibration frequency of the separation bed is increased, thereby increasing the conveying speed of the bottom layer of materials and preventing the thickness of the gangue layer from being too thick; if the gangue content is less than the preset gangue content value, it indicates that the gangue content in the feed is relatively low. Then, according to the discharge frequency of the gangue discharge wheel, the vibration frequency of the separation bed is decreased, reducing the conveying speed of the bottom layer of materials and preventing the thickness of the gangue layer from being too thin.

[0054] Specifically, the corresponding relationship between the discharge frequency of the preset gangue discharge wheel and the vibration frequency of the separation bed is preset. The discharge frequency of each gangue discharge wheel corresponds to a frequency range of the vibration frequency of a separation bed. During the adjustment process, the vibration frequency of the separation bed can be adjusted according to the discharge frequency of the gangue discharge wheel to change the movement speed of the gangue in the bed layer. For example: Assume that the discharge frequency of the gangue discharge wheel is 10 Hz, and the corresponding frequency range of the vibration frequency of the separation bed is 30 - 33 Hz. Then, when the current discharge frequency of the gangue discharge wheel is detected to be 10 Hz, the vibration frequency of the separation bed is adjusted within the range of 30 - 33 Hz. If the gangue content is greater than the preset gangue content value, the vibration frequency of the separation bed is increased within the range of 30 - 33 Hz; if the gangue content is less than the preset gangue content value, the vibration frequency of the separation bed is decreased within the range of 30 - 33 Hz.

[0055] In one implementation manner, for the aforementioned step S104, that is, when adjusting the frequency of the air supply fan based on the bed layer thickness and the dispersion degree, the following methods can be adopted, including but not limited to: if the bed layer thickness is less than the preset first bed layer thickness threshold, or the dispersion degree is greater than the preset second dispersion degree threshold, the frequency of the air supply fan is decreased by a first preset value; if the bed layer thickness is greater than the preset second bed layer thickness threshold, or the dispersion degree is less than the preset first dispersion degree threshold, the frequency of the air supply fan is increased by a second preset value; wherein, the first bed layer thickness threshold is less than the second bed layer thickness threshold, and the first dispersion degree threshold is less than the second dispersion degree threshold.

[0056] In specific implementation, the reasonable bed layer thickness range of the separation bed is preset as h 1 - h 2, the reasonable dispersion 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 dispersion is greater than the preset second dispersion threshold (i.e., b > b 2 ), it indicates that the air volume of the air supply fan is too large, and the frequency of the air supply fan is reduced; among them, the reduced value of the frequency of the air supply fan is the first preset value ( ω 1 , and the value range is 1 - 3 Hz), that is, the frequency of the air supply fan is reduced by the first preset value ω 1 ; when the bed thickness is greater than the preset second bed thickness threshold (i.e., h > h 2 ), or the dispersion is less than the preset first dispersion threshold (i.e., b < b 1 ), it indicates that the air volume of the air supply fan is too small, and the frequency of the air supply fan is increased; among them, the increased value of the frequency of the air supply fan is the second preset value ( ω 2 , and the value range is 1 - 3 Hz), that is, the frequency of the air supply fan is increased by the second preset value ω 2 . Other situations are not adjusted.

[0057] The above control method provided by the embodiment of the present invention adjusts the influence of the backwashing amount on the fluidization fluctuation of the feeding amount; adjusts the conveying speed of the bottom gangue by the vibration frequency of the separation bed, thereby adjusting the influence of the gangue content of the feeding amount on the fluidization fluctuation; controls the air pressure through the discrete detection of the bed layer (i.e., the detection of the bed thickness and dispersion), keeps the bed layer in a suitable fluidization state, and adjusts the influence of moisture and coal quality characteristics on the fluidization state fluctuation.

[0058] The embodiment of the present invention also provides an intelligent stepped-flow dry separation machine, as shown in Figure 2 shown, including: a control module (not shown), a backwashing discharge wheel, a gangue discharge wheel, an air supply fan, and a separation bed, and the separation bed includes a vibration mechanism; among them, the control module adjusts the backwashing discharge wheel, the vibration mechanism of the separation bed, and the air supply fan by using the control method provided by the foregoing embodiment, so as to adjust the influence of the feeding amount, the gangue content, the moisture, and the coal quality characteristics on the fluidization state fluctuation.

[0059] In one embodiment, the preset feeding amount of the device is set to Q , and the actual feeding amount is calculated qThe difference from the set preset feed amount Q is supplemented by the backwashing amount to ensure that the feed amount remains constant.

[0060] Detect the gangue content in the backwashing discharge. When the gangue content is greater than the preset value of the gangue content, it indicates 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 conveying speed of the bottom layer of materials; when the gangue amount in the feed decreases, the vibration frequency of the sorting bed is decreased according to the discharge frequency of the gangue discharge wheel, reducing the conveying speed of the bottom layer of materials, so that the thickness of the gangue layer is maintained within an appropriate range.

[0061] Measure the bed thickness with a laser rangefinder h and the dispersion b range. When h < h 1 , b > b 2 , the air supply fan reduces the corresponding frequency ω 1 ; when h > h 2 , b < b 1 , the air supply fan increases the corresponding frequency ω 2 ; no adjustment is made in other cases. As Figure 2 shown, the intelligent ladder-flow dry separator further includes an array of air chambers and a multi-aperture air distribution plate. When the air supply fan operates, air can pass through the array of air chambers and the multi-aperture air distribution plate to the sorting bed.

[0062] For the intelligent ladder-flow dry separator provided by the present invention, by adjusting the discharge frequency of the backwashing discharge wheel, the backwashing amount can be adjusted, thereby being able 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 layer of gangue can be adjusted, thereby being able to adjust the influence of the gangue content on the fluidization fluctuation; by controlling the air supply fan through the bed thickness and dispersion, the influence of moisture and coal quality characteristics on the fluidization state fluctuation can be adjusted. In summary, the above control method can adjust the influence of the feed amount, gangue content, moisture, and coal quality characteristics on the fluidization state fluctuation, keep the bed in a suitable fluidization state, and thus ensure the precise sorting of materials.

[0063] In one embodiment, the intelligent ladder-flow dry separator further includes: a belt scale and a laser rangefinder; the belt scale is used to collect the actual feed 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 refer to the foregoing embodiments.

[0064] It should be noted that the intelligent ladder-flow dry separator provided by the embodiments of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiments. For the sake of brief description, for the parts not mentioned in the embodiments of the intelligent ladder-flow dry separator, reference may be made to the corresponding content in the foregoing method embodiments. The specific values provided in the embodiments of the present invention are only exemplary and are not limited herein.

[0065] The embodiments of the present invention further provide an electronic device. Specifically, the electronic device includes a processor and a storage device; a computer program is stored on the storage device, and when the computer program is run by the processor, it executes the method described in any one of the above embodiments.

[0066] Figure 3 FIG. 7 is a schematic structural diagram of an electronic device provided by 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. The processor 30, the communication interface 33, and the memory 31 are connected through the bus 32. The processor 30 is used to execute an executable module stored in the memory 31, such as a computer program.

[0067] Among them, the memory 31 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory. Through at least one communication interface 33 (which can be wired or wireless), a communication connection is realized between the system network element and at least one other network element, and the Internet, wide area network, local area network, metropolitan area network, etc. can be used.

[0068] The bus 32 may be an ISA bus, a PCI bus, an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience of representation, Figure 3 only a bidirectional arrow is used in FIG. 7, but it does not mean that there is only one bus or one type of bus.

[0069] Among them, the memory 31 is used to store a program. After receiving an execution instruction, the processor 30 executes the program. The method executed by the device defined by the flow process disclosed in any one of the foregoing embodiments of the present invention can be applied to the processor 30 or implemented by the processor 30.

[0070] The processor 30 may be an integrated circuit chip with the ability to process signals. In the implementation process, each step of the above method may be completed by the integrated logic circuit of the hardware in the processor 30 or the instructions in the form of software. The above-mentioned processor 30 may be a general-purpose processor, including a central processing unit (CPU for short), a network processor (NP for short), etc.; it may also be a digital signal processor (DSP for short), an application specific integrated circuit (ASIC for short), a field-programmable gate array (FPGA for short), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the embodiments of the present invention may be directly embodied as being executed and completed by the hardware decoding processor, or executed and completed by a combination of the hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art 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. This storage medium is located in the memory 31, and the processor 30 reads the information in the memory 31 and combines its hardware to complete the steps of the above method.

[0071] The computer program product of the readable storage medium provided by the embodiments 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 method described in the foregoing method embodiments. For the specific implementation, reference can be made to the foregoing method embodiments and will not be elaborated here.

[0072] When the above-mentioned 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, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0073] Finally, it should be noted that the above-mentioned embodiments are only specific implementation manners of the present invention, used to illustrate the technical solutions of the present invention, rather than limiting it. The protection scope of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the art within the technical scope disclosed by the present invention can still modify the technical solutions described in the foregoing embodiments or can easily think of changes, or perform equivalent replacements on some of the technical features; 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 all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to 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; The backwash amount is adjusted based on the difference between the actual feed amount and the preset feed amount, including: 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; 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; 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: 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].

4. The control method according to claim 3, 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.

5. 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 4 to adjust the backwash discharge wheel, the vibration mechanism of the sorting bed and the air supply fan.

6. The intelligent ladder flow dry separator according to claim 5, 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.

7. 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 4.

8. 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 4 are executed.

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