Chemical feeding control method, system and equipment of flotation machine and medium

Abstract

The invention provides a chemical adding control method, system and equipment of a flotation machine and a medium, and is applied to the technical field of flotation systems. The method comprises the steps that current flotation parameters and ash content data of a target product are obtained; based on the current flotation parameters and the ash content data of the target product, determining a target reagent amount required for extracting the target product from the current dry coal slime; and based on the reagent amount required by the target product, parameters of the reagent adding equipment are adjusted to increase the required reagent amount into the flotation machine, so that the problems that in the prior art, the flotation reagent adding amount is not accurate, and excessive reagent adding is likely to happen are solved, intelligent adjustment of reagent adding of the ore pulp preparation device and the compartments is achieved, and the flotation efficiency is improved. And the automation degree and the control precision of the flotation system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of flotation systems, and in particular to a dosing control method, system, equipment and medium for a flotation machine. Background Art

[0002] Traditional flotation system dosing control mainly relies on manual experience, by observing the slurry state on site and adjusting the dosing amount based on experience. This dosing control method has the following defects: First, the dosing amount is difficult to measure accurately, and it is easy to over-dosage, resulting in unstable flotation system performance and reduced product quality; second, affected by multiple factors, on-site operators need to pay attention to multiple parameters at the same time, which is labor-intensive and prone to errors; third, flotation reagents are highly volatile, and long-term on-site work is likely to affect the health of operators.

[0003] The inventors found in their research that existing automatic dosing devices still need to rely on manual experience for adjustment and lack targeted control of the interrelationships between various factors, resulting in problems such as inaccurate dosing and easy overdosing. Summary of the invention

[0004] In view of this, the object of the present invention is to provide a flotation machine dosing control method, system, equipment and medium to achieve intelligent adjustment of the slurry preparation device and chamber dosing, thereby improving the automation level and control accuracy of the flotation system.

[0005] In a first aspect, the present invention provides a dosing control method for a flotation machine, comprising:

[0006] Obtaining current flotation parameters and ash content data of target products; wherein the flotation parameters include foam layer thickness, current ash content data, flotation feed flow rate and flotation feed concentration;

[0007] Based on the current flotation parameters and the ash data of the target product, determine the target reagent dosage required to extract the target product from the current dry coal slime; wherein the target reagent dosage is determined based on a dosing model between the target reagent dosage, the flotation parameters and the ash data of the target product, and the dosing model is determined based on historical reagent dosage, historical flotation parameters and the ash data of the historical target product;

[0008] Based on the amount of reagent required for the target product, the parameters of the dosing equipment are adjusted to add the required amount of reagent to the flotation machine.

[0009] Optionally, obtain current flotation parameters and ash content data of the target product, including:

[0010] Acquire several sensors connected to the product equipment to collect flotation parameter data in the flotation machine as current flotation parameters;

[0011] Based on the characteristics of the original dry coal slime, the ash data of the target product is determined.

[0012] Optionally, the method further comprises:

[0013] Obtaining the initial dosage and initial concentration of the drug in the dosing equipment;

[0014] Obtain the chemical consumption value per ton of dry coal slime of the chemical dosing equipment.

[0015] Optionally, based on the current flotation parameters and the ash data of the target product, determining the target dosage of reagents required to extract the target product from the current dry coal slime also includes:

[0016] Determine the thickness of the froth layer in the flotation machine based on the flotation feed flow rate and flotation feed concentration;

[0017] Based on the thickness of the foam layer, determine the foam chemical consumption per ton of dry coal slime.

[0018] Optionally, based on the current flotation parameters and the ash data of the target product, determining the target dosage of reagents required to extract the target product from the current dry coal slime also includes:

[0019] Based on the ash content data of the target product and the ash content data within a preset period, obtaining the ash difference value within the preset period;

[0020] Based on the ash difference value, the chemical consumption value per ton of dry coal sludge is fed back.

[0021] Optionally, based on the current flotation parameters and the ash data of the target product, the target dosage of reagents required to extract the target product from the current dry coal slime is determined, including:

[0022] The target drug dosage required to achieve the target product is determined by the following formula:

[0023]

[0024] In the formula, Q 药剂流量 To achieve the target dosage required for the target product, k is the coefficient, p 入料 is the flotation feed concentration, p 基准 is the initial concentration of the drug, w 初始 is the chemical consumption per ton of dry coal slime, Δ 反馈 To feedback the consumption of chemical per ton of dry coal slime, w 泡沫 is the foam chemical consumption per ton of dry coal slime, ρ 药剂 is the initial dose, Q 入料 is the flotation feed flow rate.

[0025] Optionally, the method further comprises:

[0026] Obtain the drug consumption per ton of dry coal slime, the drug consumption per ton of foam dry coal slime and the drug consumption per ton of feedback dry coal slime to obtain the required inflation volume of the flotation machine;

[0027] Based on the required inflation volume threshold of the flotation machine, the parameters of the inflation device are adjusted to control the inflation volume in the flotation machine.

[0028] In a second aspect, the present invention provides a dosing control system for a flotation machine, comprising:

[0029] An acquisition module is used to acquire current flotation parameters and ash content data of target products; wherein the flotation parameters include foam layer thickness, current ash content data, flotation feed flow rate and flotation feed concentration;

[0030] An adjustment module is used to determine the target reagent dosage required to extract the target product from the current dry coal slime based on the current flotation parameters and the ash data of the target product; wherein the target reagent dosage is determined based on a dosing model between the target reagent dosage, the flotation parameters and the ash data of the target product, and the dosing model is determined based on historical reagent dosage, historical flotation parameters and the ash data of the historical target product;

[0031] The control module is used to adjust the parameters of the dosing equipment based on the amount of medicine required by the target product to add the required amount of medicine into the flotation machine.

[0032] In a third aspect, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned dosing control method for a flotation machine when executing the computer program.

[0033] In a fourth aspect, the present invention further provides a computer-readable storage medium storing machine executable instructions, which implement the above-mentioned dosing control method for a flotation machine when called and executed by a processor.

[0034] The embodiments of the present invention provide a flotation machine dosing control method, system, device and medium, which obtain the current flotation parameters and the ash data of the target product; determine the target amount of reagent required to extract the target product from the current dry coal slime based on the current flotation parameters and the ash data of the target product; and adjust the parameters of the dosing device based on the required amount of reagent for the target product to add the required amount of reagent to the flotation machine, so as to solve the problems of inaccurate dosing of flotation reagents and easy overdosing in the prior art, thereby realizing intelligent adjustment of the pulp preparer and the chamber dosing, and improving the automation degree and control accuracy of the flotation system.

[0035] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 A schematic structural diagram of a dosing control system for a flotation machine provided by an embodiment of the present invention is shown;

[0038] Figure 2 A schematic flow chart of a dosing control method for a flotation machine provided by an embodiment of the present invention is shown;

[0039] Figure 3 A schematic structural diagram of another flotation machine dosing control system provided by an embodiment of the present invention is shown;

[0040] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present invention.

[0042] The existing automatic dosing equipment of the flotation system still needs to rely on manual experience to adjust the dosage of the dosing. Over-adjustment is prone to occur during the adjustment process, resulting in the flotation system facing insufficient or excessive dosing, affecting the product quality of the flotation system; due to the large number of factors affecting dosing, the labor intensity of on-site positions is relatively high, and the flotation reagents are volatile, which can easily affect the health of personnel on the job for a long time. Based on this, the present invention provides a dosing control method, system, equipment and medium for a flotation machine, which makes intelligent analysis and decision-making through the production information of the flotation system, utilizes the precise dosing of the slurry preparation device and the chamber dosing, realizes intelligent automatic adjustment, and improves the degree of flotation system starvation and control accuracy.

[0043] Figure 1A schematic diagram of a dosing control system for a flotation machine provided for the implementation of the present invention is shown in FIG. Figure 1 As shown, the system includes: a flotation machine 1, a pulp preparer dosing module 2, a chamber dosing module 3, a sensor module 4 and a control module, wherein the control module includes a switch 5, a server 6, a wireless unit 7 and a terminal 8.

[0044] The switch 5 is connected to the flotation machine 1, the pulp preparation device dosing module 2, the compartment dosing module 3, the sensor module 4 and the server 6 respectively. The server 6 is connected to the terminal through the wireless unit 7. The flotation dosing control system is installed in the server 6. The flotation dosing control system uses a dosing control method to adjust the pulp preparation device dosing module 2 and the compartment dosing module 3.

[0045] Specifically, the sensor module 4 is used to collect multiple key parameters in the flotation system in real time, including flotation feed flow, flotation feed concentration, foam layer thickness, aeration volume, slurry ash content, tailings ash content, etc., and transmit the collected multiple key parameters to the server 6 through the switch 5;

[0046] The server 6 analyzes and processes multiple key parameters based on the flotation dosing control system to obtain a dosing strategy, and transmits the dosing strategy to the intermediate terminal 8 through the wireless unit 7 to form a visualization of flotation dosing, wherein the terminal 8 includes but is not limited to a computer, a mobile phone, and a tablet, etc.;

[0047] The server 6 transmits the dosing strategy to the slurry preparation device dosing module and the compartment dosing module to control the operation of each dosing pump according to the dosing strategy, thereby forming intelligent automatic dosing.

[0048] Figure 2 A schematic flow chart of a dosing control method for a flotation machine provided by an embodiment of the present invention is shown in FIG. Figure 2 As shown, the method comprises the following steps:

[0049] Step S210, obtaining current flotation parameters and ash content data of the target product; wherein the flotation parameters include foam layer thickness, current ash content data, flotation feed flow rate and flotation feed concentration.

[0050] Among them, the ash data can be obtained by collecting the ash data of the product through an ash meter set on the product equipment; the ash data of the target product is determined based on the characteristics of the original dry coal slime, wherein the characteristics of the original dry coal slime include but are not limited to parameters such as different mineral proportions, volatile matter content, moisture content and fixed carbon content. Based on the characteristics of the original dry coal slime, the ash data of the target product can be predicted by using formulas or empirical data.

[0051] In an optional embodiment, in step S120, the following is further included:

[0052] The flotation feed flow rate is collected by a flow meter installed in the flotation machine;

[0053] The concentration of flotation feed is collected by a concentration meter installed in the flotation machine;

[0054] The height of the foam layer in each chamber is collected by a foam layer thickness meter arranged in the flotation machine;

[0055] Collect the initial dry coal slime drug consumption value of the dosing equipment, that is, the drug dosage value of the last use of the dosing equipment;

[0056] Collect the initial dosage and initial concentration of the dosing equipment, that is, the flow rate and concentration of the dosing equipment before it was shut down the last time.

[0057] Step S220, based on the current flotation parameters and the ash data of the target product, determine the target reagent dosage required to extract the target product from the current dry coal slime; wherein the target reagent dosage is determined based on a dosing model between the target reagent dosage, the flotation parameters and the ash data of the target product, and the dosing model is determined based on historical reagent dosage, historical flotation parameters and the ash data of historical target products.

[0058] In an optional embodiment, the dosing model is a machine learning model, and the dosing model is determined in the following manner:

[0059] Acquire each training sample data collected according to a preset period, wherein each training sample data includes historical flotation parameters and historical target product ash data and historical target dosage of the same period;

[0060] Iteratively perform machine learning operations on the initial dosing model based on each training sample data until it is determined that the iteration termination condition is met, and then determine the dosing model based on each model parameter of the initial dosing model updated when the machine learning operation was last performed;

[0061] Among them, the machine learning operation includes: selecting target training sample data from each training sample data; inputting the historical flotation parameters and target product ash data contained in the target training sample data into the initial dosing model to obtain the target drug dosage determined by the initial dosing model; based on the target drug dosage determined by the initial dosing model and the target drug dosage contained in the target training sample data, using the loss function to determine the current loss value, and based on the current loss value, updating each model parameter of the initial relationship model.

[0062] Furthermore, the relationship model is optimized based on the target drug dosage.

[0063] In an optional embodiment, in step S220, based on the current flotation parameters and the ash data of the target product, determining the target dosage required to extract the target product from the current dry coal slime also includes:

[0064] Obtain the ash content data of the current product, and based on the difference between the ash content data of the current product and the ash content data of the target product, determine whether the current dosage needs to be adjusted. If the difference is greater than the preset threshold, perform the dosing operation; if the difference is less than the preset threshold, do not perform the dosing operation.

[0065] Furthermore, the preset threshold is set according to experiments or actual experience. For example, when the preset threshold is set to 5, the ash content data of the current product is 40, and the ash content data of the target product is 46, then the difference is 6, and the difference is greater than the threshold, then the dosing operation is performed, that is, the amount of medicine required when the ash content data of the current product reaches the ash content data of the target product is 6, but the current amount of medicine in the flotation machine is 5, then it is necessary to add medicine to the flotation machine.

[0066] Further, based on the preset cycle, it is determined whether the current dosage of the medicine needs to be adjusted.

[0067] In an optional embodiment, in step S220, based on the current flotation parameters and the ash data of the target product, determining the target dosage required to extract the target product from the current dry coal slime also includes:

[0068] Determine the thickness of the froth layer in the flotation machine based on the flotation feed flow rate and flotation feed concentration;

[0069] Based on the thickness of the foam layer, determine the foam chemical consumption per ton of dry coal slime.

[0070] In an optional embodiment, in step S220, based on the current flotation parameters and the ash data of the target product, determining the target dosage required to extract the target product from the current dry coal slime also includes:

[0071] Based on the ash content data of the current product and the ash content data of the target product, determine the target dosage required to achieve the target product, including:

[0072] Based on the ash content data of the target product and the ash content data within a preset period, obtaining the ash difference value within the preset period;

[0073] Based on the ash difference value, the chemical consumption value per ton of dry coal sludge is fed back.

[0074] In an optional embodiment, in step S220, based on the current flotation parameters and the ash data of the target product, determining the target dosage required to extract the target product from the current dry coal slime includes:

[0075] The target drug dosage required to achieve the target product is determined by the following formula:

[0076]

[0077] In the formula, Q 药剂流量 To achieve the target dosage required for the target product, k is the feed concentration coefficient, p 入料 is the flotation feed concentration, p 基准 is the initial concentration of the drug, w 初始 is the chemical consumption per ton of dry coal slime, Δ 反馈 To feedback the consumption of chemical per ton of dry coal slime, w 泡沫 is the foam chemical consumption per ton of dry coal slime, ρ 药剂 is the initial dose, Q 入料 is the flotation feed flow rate.

[0078] Specifically, when the dosing operation is performed, it is necessary to calculate the foam drug consumption per ton of dry coal slurry and the feedback drug consumption per ton of dry coal slurry.

[0079] It should be noted that, in the present application, the chemical consumption per ton of dry coal slime refers to the chemical required to process 1 ton of dry coal slime.

[0080] The required drug consumption of the foam layer is obtained by the following formula:

[0081]

[0082] In the formula, w 泡沫 is the foam chemical consumption per ton of dry coal slime, w 初始 is the chemical consumption per ton of dry coal slime, H 基 is the base thickness of the foam layer, H 泡沫 is the thickness of the foam layer;

[0083] Among them, based on the flotation machine feed flow rate and flotation machine feed concentration, the foam layer thickness is obtained by the following formula:

[0084]

[0085] In the formula, H 泡沫 is the thickness of the foam layer, K 泡沫 is the foam layer velocity coefficient, p 入料 is the flotation feed concentration, Q 入料 is the flotation feed flow rate, V 泡沫 Foam layer flow rate, H 基 is the base thickness of the foam layer;

[0086] The basic thickness of the foam layer is obtained by a foam layer thickness detector arranged in the flotation machine. The basic thickness of the foam layer is the current foam layer thickness of the flotation machine. The foam layer thickness is the foam layer thickness generated when dry coal slime is added into the flotation machine.

[0087] Based on the ash data, the feedback ton dry coal slime consumption is calculated by the following formula:

[0088] △ 反馈 =k p ·(Err 本周期 -Err 上周期 )+k i ·Err this cycle + k d ·(Err 本周期 -2 Err 上周期 +Err 上上周期 )

[0089] In the formula, Δ 反馈 To feedback the consumption of chemical per ton of dry coal slime, k p , k i and k d All are incremental coefficients, Err is gray difference;

[0090] Among them, the gray difference can be obtained as follows:

[0091] Err=A d -A y

[0092] In the formula, A d is the ash content data of the target product, A y It is the actual ash content data of the product within the period.

[0093] Furthermore, the actual ash content data of the product within the cycle can be calculated by using a PID algorithm, a least squares algorithm or an average value algorithm.

[0094] For example, the present invention adopts the average value algorithm to calculate the actual ash data of the product within the period, as follows:

[0095] Set the cycle for collecting product ash content to 10 minutes; collect real-time ash content data within the current cycle, use the average value algorithm to calculate the ash content data within this cycle, and the ash content data is the actual ash content data of the product within the cycle.

[0096] Furthermore, the total amount of reagents required for the total amount of dry coal slime fed into the flotation machine per unit time can be obtained by the following formula:

[0097]

[0098] In the formula, Q 总 The total amount of reagent required for the total amount of dry coal slime fed into the flotation machine per unit time, k is the feed concentration coefficient, p 入料 is the flotation feed concentration, p 基准 is the initial concentration of the drug, w 初始is the chemical consumption per ton of dry coal slime, ρ 药剂 is the initial dose, Q 入料 is the flotation feed flow rate.

[0099] Where K is the feed concentration coefficient, and K∈(0, 0.01). Since the initial concentration of the reagent p 基准 The consumption of chemical agent per ton of dry coal slime is w 初始 Corresponding to the feed concentration, as the feed concentration increases, the chemical consumption per ton of coal needs to be reduced accordingly, so the amount of reduction is related to the set value of k.

[0100] Furthermore, due to the consumption of 1 ton of dry coal slime 初始 and initial drug dose ρ 药剂 is a fixed set value. Therefore, the total amount of reagent Q required for the total amount of dry coal slime fed into the flotation machine per unit time is 总 Flotation feed flow Q 入料 and flotation feed concentration p 入料 The product result increases or decreases, among which, the flotation feed flow rate Q 入料 and flotation feed concentration p 入料 is the data collected by the sensor, ρ 药剂 The initial dose is a fixed value.

[0101] Furthermore, the amount of reagents required for the target product can be obtained based on the total amount of dry coal slime fed into the flotation machine per unit time, the reagent consumption per ton of foam dry coal slime and the reagent consumption per ton of feedback dry coal slime.

[0102] In an optional embodiment, the drug addition control method further includes:

[0103] Obtain the drug consumption per ton of dry coal slime, the drug consumption per ton of foam dry coal slime and the drug consumption per ton of feedback dry coal slime to obtain the required inflation volume of the flotation machine;

[0104] Based on the required inflation volume threshold of the flotation machine, the parameters of the inflation device are adjusted to control the inflation volume in the flotation machine.

[0105] During normal production, the aeration volume of the flotation machine should remain basically unchanged. Only when the feed slurry concentration changes greatly or the amount of added reagents changes greatly, the aeration volume required for the flotation machine should be fine-tuned.

[0106] Specifically, the required inflation volume of the flotation machine is obtained by the following formula:

[0107] V 充气 =k 充气 *(w 初始 +△ 反馈 +w 泡沫 )+V 基

[0108] Where V 充气is the amount of air required for the flotation machine, k 充气 is the aeration coefficient of the flotation machine, V 基 The minimum air volume for the flotation machine.

[0109] Furthermore, the current inflation volume of the flotation machine is obtained, and the fluctuating inflation volume is obtained based on the current inflation volume and the required inflation volume, and it is determined whether the fluctuating inflation volume exceeds the threshold range. If so, the parameters of the inflation equipment are adjusted so that the inflation volume in the flotation machine reaches the required inflation volume. If not, the inflation volume of the flotation machine is not adjusted.

[0110] Step S230: Based on the dosage of the target product, adjust the parameters of the dosing equipment to add the required dosage of the drug into the flotation machine.

[0111] By controlling the variable frequency dosing metering pump of the pulp preparer and the variable frequency dosing metering pump of the chamber, the amount of medicine required for the target product is emulsified and then added to the flotation machine.

[0112] The embodiment of the present invention provides a dosing control method for a flotation machine. By real-time feedback and actual detection of multiple dosing factors, the flotation dosing can be intelligently adjusted without manual intervention, and the number of on-site personnel can be reduced, thereby reducing production costs. The dosing model is continuously optimized based on historical data to achieve accurate dosing, stabilize product ash content, reduce ash content fluctuations, and effectively improve product recovery rate.

[0113] Figure 3 A schematic diagram of a dosing control system for a flotation machine provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, the system includes:

[0114] The acquisition module 310 is used to acquire the current flotation parameters and the ash content data of the target product; wherein the flotation parameters include the thickness of the foam layer, the current ash content data, the flotation feed flow rate and the flotation feed concentration;

[0115] The adjustment module 320 is used to determine the target reagent dosage required to extract the target product from the current dry coal slime based on the current flotation parameters and the ash content data of the target product; wherein the target reagent dosage is determined based on a dosing model between the target reagent dosage, the flotation parameters and the ash content data of the target product, and the dosing model is determined based on the historical reagent dosage, the historical flotation parameters and the ash content data of the historical target product;

[0116] The control module 330 is used to adjust the parameters of the dosing equipment to add the required amount of medicine into the flotation machine based on the amount of medicine required for the target product.

[0117] In an optional embodiment, the acquisition module 310 is further configured to:

[0118] Acquire several sensors connected to the product equipment to collect flotation parameter data in the flotation machine as current flotation parameters;

[0119] Based on the characteristics of the original dry coal slime, the ash data of the target product is determined.

[0120] In an optional embodiment, the acquisition module 310 is further configured to:

[0121] Obtaining the initial dosage and initial concentration of the drug in the dosing equipment;

[0122] Obtain the chemical consumption value per ton of dry coal slime of the chemical dosing equipment.

[0123] In an optional embodiment, the adjustment module 320 is further configured to:

[0124] Determine the thickness of the froth layer in the flotation machine based on the flotation feed flow rate and flotation feed concentration;

[0125] Based on the thickness of the foam layer, determine the foam chemical consumption per ton of dry coal slime.

[0126] In an optional embodiment, the adjustment module 320 is further configured to:

[0127] Based on the ash content data of the target product and the ash content data within a preset period, obtaining the ash difference value within the preset period;

[0128] Based on the ash difference value, the chemical consumption value per ton of dry coal sludge is fed back.

[0129] In an optional embodiment, the adjustment module 320 is further used to determine the target drug amount required to achieve the target product by using the following formula:

[0130]

[0131] In the formula, Q 药剂流量 To achieve the target dosage required for the target product, k is the coefficient, p 入料 is the flotation feed concentration, p 基准 is the initial concentration of the drug, w 初始 is the chemical consumption per ton of dry coal slime, Δ 反馈 To feedback the consumption of chemical per ton of dry coal slime, w 泡沫 is the foam chemical consumption per ton of dry coal slime, ρ 药剂 is the initial dose, Q 入料 is the flotation feed flow rate.

[0132] In an optional embodiment, the adjustment module 320 is further configured to:

[0133] Obtain the drug consumption per ton of dry coal slime, the drug consumption per ton of foam dry coal slime and the drug consumption per ton of feedback dry coal slime to obtain the required inflation volume of the flotation machine;

[0134] Based on the required inflation volume threshold of the flotation machine, the parameters of the inflation device are adjusted to control the inflation volume in the flotation machine.

[0135] The implementation principle and technical effects of the system provided in the embodiment of the present application are the same as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0136] like Figure 4 As shown, an electronic device 600 provided in an embodiment of the present application includes: a processor 601, a memory 602 and a bus, the memory 602 stores machine-readable instructions executable by the processor 601, when the electronic device is running, the processor 601 and the memory 602 communicate through the bus, the processor 601 executes the machine-readable instructions to perform the steps of dosing control of a flotation machine as described above.

[0137] Specifically, the memory 602 and the processor 601 can be general-purpose memories and processors, which are not specifically limited here. When the processor 601 runs the computer program stored in the memory 602, the dosing control of the above-mentioned flotation machine can be executed.

[0138] The processor 601 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 601. The above processor 601 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 application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature 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. The storage medium is located in the memory 602, and the processor 601 reads the information in the memory 602 and completes the steps of the above method in combination with its hardware.

[0139] Corresponding to the above-mentioned dosing control method of a flotation machine, an embodiment of the present application also provides a computer-readable storage medium, which stores machine-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to execute the steps of the above-mentioned dosing control of a flotation machine.

[0140] The dosing control system of a flotation machine provided in the embodiment of the present application can be specific hardware on the device or software or firmware installed on the device. The device provided in the embodiment of the present application has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brief description, the parts not mentioned in the device embodiment can refer to the corresponding contents in the aforementioned method embodiment. Technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiment, and will not be repeated here.

[0141] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0142] For another example, the flowchart and block diagram in the accompanying drawings show the possible architecture, functions and operations of the device, method and computer program product according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0143] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0145] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can essentially or in other words contribute to the prior art or part of the technical solution in the form of a software product. The computer software product is stored in a storage medium, including several instructions for an electronic device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the dosing control method of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

[0146] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0147] Finally, it should be noted that the above embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the aforementioned 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 aforementioned embodiments within the technical scope disclosed in the present application, 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 scope of the technical solutions of the embodiments of the present application. They should all be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A dosing control method for a flotation machine, characterized in that: include: Obtaining current flotation parameters and ash content data of the target product; wherein the flotation parameters include foam layer thickness, current ash content data, flotation feed flow rate and flotation feed concentration; Based on the current flotation parameters and the ash data of the target product, determine the target dosage of reagents required to extract the target product from the current dry coal slime; wherein the target dosage of reagents is determined based on a dosing model between the target dosage of reagents, the flotation parameters and the ash data of the target product, and the dosing model is determined based on historical dosage of reagents, historical flotation parameters and the ash data of historical target products; Based on the amount of drug required for the target product, the parameters of the dosing device are adjusted to add the required amount of drug into the flotation machine.

2. The dosing control method according to claim 1, characterized in that: Obtain current flotation parameters and ash content data of target products, including: Acquire a plurality of sensors connected to the product equipment to collect flotation parameter data in the flotation machine as the current flotation parameter; Based on the characteristics of the original dry coal slime, the ash data of the target product is determined.

3. The dosing control method according to claim 1 or 2, characterized in that: Also includes: Obtaining the initial dosage and initial concentration of the drug in the dosing equipment; Obtain the chemical consumption value per ton of dry coal slime of the chemical dosing equipment.

4. The dosing control method according to claim 3, characterized in that: Determining the target dosage required to extract the target product from the current dry coal slime based on the current flotation parameters and the ash data of the target product, further comprising: Determining the thickness of the foam layer in the flotation machine based on the flotation feed flow rate and the flotation feed concentration; Based on the foam layer thickness, the foam chemical consumption per ton of dry coal slime is determined.

5. The drug addition control method according to claim 4, characterized in that: Determining the target dosage required to extract the target product from the current dry coal slime based on the current flotation parameters and the ash data of the target product, further comprising: Based on the ash content data of the target product and the ash content data within a preset period, obtaining an ash difference value within a preset period; Based on the ash difference value, the chemical consumption value per ton of dry coal sludge is fed back.

6. The drug addition control method according to claim 5, characterized in that: Based on the current flotation parameters and the ash data of the target product, determining the target dosage required to extract the target product from the current dry coal slime includes: The target dosage required to achieve the target product is determined by the following formula: In the formula, Q 药剂流量 To achieve the target dosage required for the target product, k is the coefficient, p 入料 is the flotation feed concentration, p 基准 is the initial concentration of the drug, w 初始 is the chemical consumption per ton of dry coal slime, Δ 反馈 To feedback the consumption of chemical per ton of dry coal slime, w 泡沫 is the foam chemical consumption per ton of dry coal slime, ρ 药剂 is the initial dose, Q 入料 is the flotation feed flow rate.

7. The drug addition control method according to claim 6, characterized in that: Also includes: Obtain the drug consumption per ton of dry coal slime, the drug consumption per ton of foam dry coal slime and the drug consumption per ton of feedback dry coal slime to obtain the required inflation amount of the flotation machine; Based on the required inflation volume threshold of the flotation machine, the parameters of the inflation device are adjusted to control the inflation volume in the flotation machine.

8. A dosing control system for a flotation machine, characterized in that: include: An acquisition module, used to acquire current flotation parameters and ash content data of a target product; wherein the flotation parameters include foam layer thickness, current ash content data, flotation feed flow rate and flotation feed concentration; An adjustment module, for determining a target reagent amount required to extract the target product from the current dry coal slime based on the current flotation parameters and the ash data of the target product; wherein the target reagent amount is determined based on a dosing model between the target reagent amount, the flotation parameters and the ash data of the target product, and the dosing model is determined based on a historical reagent amount, the historical flotation parameters and the ash data of the historical target product; The control module is used to adjust the parameters of the dosing equipment based on the amount of medicine required by the target product to add the required amount of medicine into the flotation machine.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores machine executable instructions, and the machine executable instructions implement any one of the methods of claims 1 to 7 when called and executed by a processor.

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