Method, device and control system for controlling the flow rate of a hydrocyclone feed

Abstract

The application provides a control method, device and system for the feed flow of a hydrocyclone. The method comprises: obtaining a current feed flow; when the current feed flow is less than a reference feed flow, increasing the valve opening of a flow control valve so that the difference between the current feed flow and the reference feed flow is less than a first predetermined flow difference; and when the current feed flow is greater than the reference feed flow, decreasing the valve opening of the flow control valve so that the difference between the current feed flow and the reference feed flow is less than the first predetermined flow difference. In this scheme, the feed flow of slurry into the hydrocyclone can be obtained, and the flow is compared with a reference feed flow. The reference flow can be when the separation efficiency of the hydrocyclone is relatively good. Thus, the flow of slurry into the hydrocyclone can be automatically controlled (by controlling the valve opening) so that the incoming flow continuously approaches the reference feed flow, thereby improving the separation efficiency of the hydrocyclone.

Description

Technical Field

[0001] This application relates to the field of hydrocyclone coal slurry water treatment in coal preparation plants, and more specifically, to a method, apparatus, computer-readable storage medium, and control system for the feed flow rate of a hydrocyclone. Background Technology

[0002] Coal has always been a major energy source for my country's industrial development and an important industrial raw material. With the deepening of coal mining and the increase in mechanization, coal quality has deteriorated. Most coal preparation plants produce coal slime with particles smaller than 3mm after washing, with a content ranging from 20% to 45%. The proportion of raw coal entering the washing process is low, and the load on the coal slime water system is increasing, leading to higher energy consumption. Therefore, it is urgent to improve the recovery efficiency of coal slime. Hydrocyclones are one of the important pieces of equipment in the coal slime water treatment process, and their separation performance has a significant impact on the recovery efficiency and the treatment load. However, due to the constantly changing characteristics of the coal slime water produced in most coal preparation plants, the matching relationship between the hydrocyclones and the relevant parameters of the coal slime water is poor, resulting in low separation efficiency of the hydrocyclones. Summary of the Invention

[0003] The main objective of this application is to provide a method, apparatus, computer-readable storage medium, and control system for controlling the feed flow rate of a hydrocyclone, so as to at least solve the problem of low separation efficiency of hydrocyclones in the prior art.

[0004] To achieve the above objectives, according to one aspect of this application, a method for controlling the feed flow rate of a hydrocyclone is provided, wherein a flow control valve is located at the inlet of the hydrocyclone. The method includes: acquiring a current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water currently entering the hydrocyclone; when the current feed flow rate is less than a reference feed flow rate, controlling the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference; and when the current feed flow rate is greater than the reference feed flow rate, controlling the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0005] Optionally, after obtaining the current feed flow rate, the method further includes: obtaining current relevant information, wherein the current relevant information includes at least one of the following: current feed concentration, current angle, current coal slime particle size of the current coal slime water, current coal quality characteristics of the current coal slime water, and current ash content information of the current coal slime water, wherein the current feed concentration is the concentration of the coal slime water currently entering the hydrocyclone, and the current angle is the angle between the axis of the hydrocyclone and the reference horizontal line; determining the current separation efficiency and current pressure drop of the hydrocyclone based on the current feed flow rate and the current relevant information, wherein the current separation efficiency is the efficiency of the hydrocyclone in separating sediment from the coal slime water, and the current pressure drop is the difference between the current inlet pressure and the overflow pressure of the hydrocyclone.

[0006] Optionally, determining the current separation efficiency and current pressure drop of the hydrocyclone based on the current feed flow rate and the current relevant information includes: constructing a first model, wherein the first model is trained using multiple sets of training data, each set of training data including historical feed flow rate, historical relevant information, and historical separation efficiency acquired within a historical time period; determining the current separation efficiency corresponding to the current feed flow rate and the current relevant information based on the first model; constructing a second model, wherein the second model is trained using multiple sets of training data, each set of training data including historical feed flow rate, historical relevant information, and historical pressure drop acquired within a historical time period; and determining the current pressure drop corresponding to the current feed flow rate and the current relevant information based on the second model.

[0007] Optionally, before controlling the flow control valve to increase the valve opening, the method further includes: acquiring reference related information, wherein the reference related information includes at least one of the following: reference feed concentration, reference included angle, reference coal slurry particle size, reference coal quality characteristics of the reference coal slurry, and reference coal slurry ash content information; using a multi-objective genetic algorithm to perform multi-objective parameter calculation on the reference related information to obtain a reference separation efficiency and a reference pressure drop; and determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop.

[0008] Optionally, determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop includes: setting a first weighting coefficient and a second weighting coefficient; calculating the sum of a first product and a second product to obtain the reference feed flow rate, wherein the first product is the product of the first weighting coefficient and the first feed flow rate, and the second weighting coefficient is the product of the second weighting coefficient and the second feed flow rate.

[0009] Optionally, after determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop, the method further includes: determining whether the reference feed flow rate is greater than a first threshold or whether the reference feed flow rate is less than a second threshold, wherein the first threshold is greater than the second threshold; and not adjusting the valve opening of the flow control valve if the reference feed flow rate is greater than the first threshold or less than the second threshold.

[0010] Optionally, after controlling the flow control valve to reduce the valve opening, the method further includes: storing multiple target feed flow rates within a target time period; calculating the difference between any two consecutive target feed flow rates among the multiple target feed flow rates to obtain multiple flow difference values; and determining that the flow control valve is abnormal if any of the flow difference values ​​is greater than or equal to a second predetermined flow difference value.

[0011] According to another aspect of this application, a control device for the feed flow rate of a hydrocyclone is provided. The flow control valve is located at the inlet of the hydrocyclone. The device includes: a first acquisition unit for acquiring the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water currently entering the hydrocyclone; and a first control unit for controlling the flow control valve to increase the valve opening when the current feed flow rate is less than the reference feed flow rate, so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference; and controlling the flow control valve to decrease the valve opening when the current feed flow rate is greater than the reference feed flow rate, so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0012] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the described hydrocyclone feed flow control methods.

[0013] According to another aspect of this application, a control system for the feed flow rate of a hydrocyclone is provided, comprising: a host computer, a hydrocyclone, a flow control valve, a flow sensor, a density sensor, and an inclination sensor. The flow control valve is located at the inlet of the hydrocyclone. The flow sensor and the density sensor are installed on the feed pipe of the hydrocyclone. The inclination sensor is installed on the outer wall of the hydrocyclone. The flow sensor, the density sensor, and the inclination sensor communicate with the host computer. The host computer communicates with the flow control valve. The host computer is used to execute any of the aforementioned methods for controlling the feed flow rate of the hydrocyclone.

[0014] By applying the technical solution of this application, the feed flow rate of coal slurry water entering the hydrocyclone can be obtained, and this flow rate can be compared with a reference feed flow rate. The reference flow rate can be when the hydrocyclone has a relatively good separation efficiency. In this way, the flow rate of coal slurry water entering the hydrocyclone can be automatically controlled (by controlling the valve opening) so that the incoming flow rate continuously approaches the reference feed flow rate, thereby improving the separation efficiency of the hydrocyclone. Attached Figure Description

[0015] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0016] Figure 1 A hardware structure block diagram of a mobile terminal for executing a method for controlling the feed flow rate of a hydrocyclone, according to an embodiment of this application, is shown.

[0017] Figure 2 A schematic flowchart of a method for controlling the feed flow rate of a hydrocyclone according to an embodiment of this application is shown.

[0018] Figure 3 A flowchart illustrating the multi-objective genetic algorithm is shown.

[0019] Figure 4 A structural block diagram of a hydrocyclone feed flow control device according to an embodiment of this application is shown;

[0020] Figure 5 A schematic diagram of the structure of a control system for the feed flow rate of a hydrocyclone according to an embodiment of this application is shown.

[0021] The above figures include the following reference numerals:

[0022] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. Detailed Implementation

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] As described in the background section, in the current technology, most coal preparation plants produce coal slurry water with constantly changing characteristics, resulting in poor matching between the relevant parameters of the hydrocyclone and the coal slurry water, leading to low separation efficiency of the hydrocyclone. To solve the problem of low separation efficiency of hydrocyclones, the embodiments of this application provide a method, device, computer-readable storage medium, and control system for controlling the feed flow rate of a hydrocyclone.

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0028] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a method of controlling the feed flow rate of a hydrocyclone according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0029] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the device information display method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] This embodiment provides a method for controlling the feed flow rate of a hydrocyclone that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0031] Figure 2 This is a flowchart illustrating a method for controlling the feed flow rate of a hydrocyclone according to an embodiment of this application.

[0032] like Figure 2 As shown, the method includes the following steps:

[0033] Step S201: Obtain the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water entering the hydrocyclone.

[0034] Specifically, the flow control valve is located at the inlet of the hydrocyclone. The feed flow rate can be obtained by detecting the flow sensor, which is installed on the feed pipe of the hydrocyclone. The flow sensor is used to monitor the flow rate of coal slurry water at the inlet of the hydrocyclone.

[0035] Step S202: When the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference. When the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0036] Specifically, the above scheme can realize real-time adjustment of the feed rate of the hydrocyclone; if the current feed rate of the monitored hydrocyclone is lower than the calculated optimal feed flow rate (reference feed flow rate), the flow control valve is controlled to increase the valve opening, thereby increasing the feed flow rate of the hydrocyclone and maximizing the working efficiency of the hydrocyclone under the current operating parameters; if the current feed rate of the monitored hydrocyclone is higher than the calculated optimal feed flow rate, the flow control valve is controlled to decrease the valve opening, thereby decreasing the feed flow rate of the hydrocyclone and maximizing the working efficiency of the hydrocyclone under the current operating parameters.

[0037] In some solutions, coal slurry is directly fed into the hydrocyclone, regardless of the specific amount. However, if the flow rate is too high, the hydrocyclone cannot separate the slurry quickly enough; if the flow rate is too low, the hydrocyclone cannot function effectively. This embodiment allows for the acquisition of the feed flow rate of the coal slurry entering the hydrocyclone. This flow rate is compared with a reference flow rate, which can be the flow rate when the hydrocyclone achieves good separation efficiency. This enables automated control (through valve opening) of the flow rate of the coal slurry entering the hydrocyclone, ensuring that the flow rate continuously approaches this reference flow rate, thereby improving the separation efficiency of the hydrocyclone.

[0038] Specifically, the solution proposed in this application can improve the working efficiency of hydrocyclones in existing coal preparation plants, realize automatic control of the feed flow rate of hydrocyclones, effectively improve the coal slime recovery rate of coal slime treatment systems in coal preparation plants, improve economic benefits, and reduce energy consumption.

[0039] The feed flow rate of a hydrocyclone is actually related to its separation efficiency and pressure drop. In the specific implementation process, after obtaining the current feed flow rate, the above method also includes the following steps: obtaining current relevant information, wherein the current relevant information includes at least one of the following: current feed concentration, current angle, current coal slime particle size, current coal quality characteristics of the current coal slime, and current ash content information of the current coal slime. The current feed concentration is the concentration of the coal slime entering the hydrocyclone, and the current angle is the angle between the axis of the hydrocyclone and the reference horizontal line. Based on the current feed flow rate and the current relevant information, the current separation efficiency and current pressure drop of the hydrocyclone are determined. The current separation efficiency is the efficiency of the hydrocyclone in separating mud and sand from the coal slime, and the current pressure drop is the difference between the current inlet pressure and the overflow pressure of the hydrocyclone.

[0040] In this scheme, the current relevant information can be analyzed first to obtain the mass flow characteristics of the hydrocyclone (i.e., coal slime particle size characteristics, coal quality characteristics, and ash content characteristics). Some basic information about the coal slime water (which can be initial information) can be set. Based on the obtained current feed flow rate and current relevant information, the current separation efficiency and current pressure drop of the hydrocyclone under the current operating parameters can be determined, thereby further accurately determining the working state of the hydrocyclone.

[0041] Specifically, the feed concentration can be obtained by detecting a density sensor installed on the feed pipe of the hydrocyclone to monitor the density of the hydrocyclone suspension.

[0042] Specifically, the included angle can be obtained by an inclination sensor installed below the outer wall of the hydrocyclone to monitor the angle between the hydrocyclone axis and the reference horizontal line.

[0043] To further accurately determine the current separation efficiency and current pressure drop of the hydrocyclone, this application determines the current separation efficiency and current pressure drop of the hydrocyclone based on the aforementioned current feed flow rate and the aforementioned relevant information through the following steps: Constructing a first model, wherein the first model is trained using multiple sets of training data, each set of training data including historical feed flow rate, historical relevant information, and historical separation efficiency acquired within a historical time period; determining the current separation efficiency corresponding to the aforementioned current feed flow rate and the aforementioned relevant information based on the first model; Constructing a second model, wherein the second model is trained using multiple sets of training data, each set of training data including historical feed flow rate, historical relevant information, and historical pressure drop acquired within a historical time period; determining the current pressure drop corresponding to the aforementioned current feed flow rate and the aforementioned relevant information based on the second model.

[0044] In this scheme, since the first model is pre-trained, it can determine the separation efficiency based on the input data. Therefore, using the first model can further accurately determine the current separation efficiency of the hydrocyclone. Since the second model is pre-trained, it can determine the pressure drop based on the input data. Therefore, using the second model can further accurately determine the current pressure drop of the hydrocyclone.

[0045] Specifically, the first model can be the first XGBoost regression prediction model, which can use the current feed flow rate and current relevant information as input variables and input them into the trained first XGBoost regression prediction model to obtain the current separation efficiency of the hydrocyclone under the current operating parameters. The first XGBoost regression prediction model is the existing XGBoost model, and the specific working process will not be described here.

[0046] Specifically, the second model can be a second XGBoost regression prediction model, which can use the current feed flow rate and current relevant information as input variables and input them into the trained second XGBoost regression prediction model to obtain the current pressure drop of the hydrocyclone under the current operating parameters. The second XGBoost regression prediction model is an existing XGBoost model, and the specific working process will not be described here.

[0047] Before adjusting the opening of the flow control valve, a reference feed flow rate can be determined. The reference feed flow rate is actually the optimal feed flow rate when the hydrocyclone is operating optimally. In some embodiments, before controlling the flow control valve to increase its opening, the method further includes the following steps: obtaining reference related information, wherein the reference related information includes at least one of the following: reference feed concentration, reference angle, reference coal slurry particle size, reference coal slurry coal quality characteristics, and reference coal slurry ash content; using a multi-objective genetic algorithm to perform multi-objective parameter calculations on the above reference related information to obtain the reference separation efficiency and reference pressure drop; and determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop.

[0048] In this scheme, relevant reference information can be obtained first. In fact, the relevant reference information is the information of the hydrocyclone with the highest separation efficiency and the lowest pressure drop. Therefore, a multi-objective genetic algorithm is used to determine the optimal separation efficiency (reference separation efficiency) and the optimal pressure drop (reference pressure drop). Then, the optimal feed flow rate (reference feed flow rate) with the highest separation efficiency and the lowest pressure drop can be calculated.

[0049] Specifically, the separation efficiency and pressure drop of the hydrocyclone in the aforementioned XGBoost regression prediction model can be used as objective variables, with feed concentration, the angle between the hydrocyclone axis and the horizontal line, and pre-set basic information about coal slurry as input variables. Simultaneously, the rated processing capacity and operating range of the hydrocyclone are set. A multi-objective genetic algorithm is used for multi-objective optimization to obtain the Pareto solution set. Then, through a weighted coefficient integration method, the compromise optimal solution for the multi-objective optimization is obtained, yielding the hydrocyclone with the highest separation efficiency and lowest pressure drop (maximum and minimum values) under the current operating parameters. The unquantified indicators are calculated using an optimization algorithm. After setting the weights for separation efficiency and pressure drop, both are standardized and multiplied by their respective weights to serve as the optimization evaluation target. The optimal separation efficiency and pressure drop are those that maximize the evaluation target, and the feed flow rate at this point is considered the optimal feed flow rate. For example, the maximum separation efficiency is 80% (though other values ​​like 85% are also possible), and the minimum inflow pressure drop is 2000 Pa (though other values ​​like 1750 Pa are also possible). The specific algorithm process is as follows... Figure 3As shown, the algorithm is divided into two parts: a regression model based on XGBoost and an optimization model based on a multi-objective genetic algorithm. The algorithm first sets the initial parameters for the multi-objective genetic algorithm, such as the population and number of iterations, and initializes the hyperparameters of the XGBoost model. Then, the measured hydrocyclone inclination angle data and coal slurry concentration data are input into the XGBoost model. Within the adjustable range of the hydrocyclone flow rate, the initial value of the hydrocyclone flow rate is randomly initialized and input into the XGBoost model to obtain the hydrocyclone pressure drop and separation efficiency under the current parameters. Afterwards, the multi-objective genetic algorithm is used to optimize the hydrocyclone separation efficiency and pressure drop, obtaining the Pareto solution set. The steps are as follows:

[0050] First, data input processing is performed. Initial parameters are determined based on the initial XGBoost regression model, and the initial population Pt is determined. The target value is calculated according to the XGBoost regression model, and the operating parameter constraints are determined based on the hydrocyclone structure.

[0051] Let the number of iterations, Gen = 1.

[0052] Rt non-dominated sorting forms non-dominated sets;

[0053] i = 1, and iterate, with the iteration condition being i = i + 1;

[0054] Place Zi into the new parent population Pt+1 (elite strategy), and determine if the number of individuals in Pt+1 is equal to N. If it is equal to N, then Z... I =Zi+1=Zi+2=…=, sort =Zi…Zi+1 by their crowding degree;

[0055] Then perform selection operations (including selection, crossover, and mutation) to obtain a new offspring population +1, and set Gen = Gen+1;

[0056] Determine whether the set number of iterations has been reached. If it has, obtain the Pareto solution set. If it has not, merge the offspring and parent populations into a population Rt of size 2N.

[0057] After obtaining the Pareto solution set through iterative optimization, the data in the solution set is evaluated. The pressure drop calculated in the solution set is taken as its reciprocal and normalized. Similarly, the separation efficiency is also normalized. The normalized values ​​of the two are then weighted, and the weighting coefficient ratio can be adjusted according to process requirements. When higher production efficiency is desired, the weight of separation efficiency is set higher; when higher energy efficiency is desired, the weight of pressure drop is set higher. Finally, the optimal solution in the entire solution set is obtained by combining the weighted separation efficiency and pressure drop. The feed flow rate at which this optimal solution is obtained is the required optimal feed flow rate.

[0058] To further determine the reference feed flow rate, a weighted algorithm can be used to determine the degree of influence of different parameters on the reference feed flow rate. In the specific implementation process, the reference feed flow rate is determined based on the reference separation efficiency and the reference pressure drop. This can be achieved through the following steps: setting a first weighting coefficient and a second weighting coefficient; calculating the sum of the first product and the second product to obtain the reference feed flow rate, wherein the first product is the product of the first weighting coefficient and the first feed flow rate, and the second weighting coefficient is the product of the second weighting coefficient and the second feed flow rate.

[0059] In this scheme, a weighting algorithm is used to determine the degree of influence of the first feed flow rate and the second feed flow rate on the reference feed flow rate. The first feed flow rate can be the feed flow rate obtained based on the separation efficiency, and the second feed flow rate can be the feed flow rate obtained based on the pressure drop. In this way, the corresponding feed flow rate can be obtained based on different parameters, and then a more accurate reference feed flow rate can be obtained through the weighting algorithm.

[0060] Specifically, the first feed flow rate obtained based on the separation efficiency can be calculated by reverse calculation based on the first model, and the second feed flow rate obtained based on the pressure drop can be calculated by reverse calculation based on the second model.

[0061] To ensure that the feed flow rate is within a normal range, after determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop, the method further includes the following steps: determining whether the reference feed flow rate is greater than a first threshold or less than a second threshold, wherein the first threshold is greater than the second threshold; if the reference feed flow rate is greater than the first threshold or less than the second threshold, the valve opening of the flow control valve is not adjusted.

[0062] In this scheme, a first threshold and a second threshold are set in advance. The range that is less than the first threshold and greater than the second threshold is the normal operating range of the hydrocyclone. Generally, this range should not be exceeded. Therefore, the feed flow rate entering the hydrocyclone can be determined by comparing the thresholds. If it is within the normal range, the opening of the flow control valve can be automatically adjusted to adjust the feed flow rate. If it is not within the normal range, the opening of the flow control valve can be left unadjusted.

[0063] This application controls the feed flow rate into the hydrocyclone by controlling the opening of a flow control valve. However, if the flow control valve malfunctions, it will lead to inaccurate control of the feed flow rate into the hydrocyclone, resulting in low separation efficiency. Therefore, it is necessary to determine whether the flow control valve is malfunctioning. In some embodiments, after controlling the flow control valve to reduce its opening, the method further includes the following steps: storing multiple target feed flow rates within a target time period; calculating the difference between any two consecutive target feed flow rates to obtain multiple flow difference values; and determining that the flow control valve is malfunctioning if any of the flow difference values ​​is greater than or equal to a second predetermined flow difference value.

[0064] In this scheme, multiple target feed flow rates within a target time period can be stored first. The target feed flow rate refers to the feed flow rate entering the hydrocyclone after the opening of the flow control valve is adjusted. If the target feed flow rate suddenly increases, it may be due to an abnormality in the flow control valve. Similarly, if the target feed flow rate suddenly decreases, it may also be due to an abnormality in the flow control valve. Therefore, the difference between any two consecutive target feed flow rates can be used to analyze whether the flow vacancy room is abnormal.

[0065] Specifically, after storing the target feed flow rate, the target feed flow rate can be displayed on the display interface. Curves can also be generated based on multiple target feed flow rates to facilitate further data analysis.

[0066] This application also provides a device for controlling the feed flow rate of a hydrocyclone. It should be noted that this device can be used to execute the method for controlling the feed flow rate of a hydrocyclone provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0067] The following describes the control device for the feed flow rate of the hydrocyclone provided in the embodiments of this application.

[0068] Figure 4 This is a structural block diagram of a hydrocyclone feed flow control device according to an embodiment of this application. Figure 4 As shown, the device includes:

[0069] The first acquisition unit 10 is used to acquire the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water currently entering the hydrocyclone.

[0070] Specifically, the flow control valve is located at the inlet of the hydrocyclone. The feed flow rate can be obtained by detecting the flow sensor, which is installed on the feed pipe of the hydrocyclone. The flow sensor is used to monitor the flow rate of coal slurry water at the inlet of the hydrocyclone.

[0071] The first control unit 20 is configured to, when the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than a first predetermined flow rate difference; and when the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0072] Specifically, the above scheme can realize real-time adjustment of the feed rate of the hydrocyclone; if the current feed rate of the monitored hydrocyclone is lower than the calculated optimal feed flow rate (reference feed flow rate), the flow control valve is controlled to increase the valve opening, thereby increasing the feed flow rate of the hydrocyclone and maximizing the working efficiency of the hydrocyclone under the current operating parameters; if the current feed rate of the monitored hydrocyclone is higher than the calculated optimal feed flow rate, the flow control valve is controlled to decrease the valve opening, thereby decreasing the feed flow rate of the hydrocyclone and maximizing the working efficiency of the hydrocyclone under the current operating parameters.

[0073] In some solutions, coal slurry is directly fed into the hydrocyclone, regardless of the specific amount. However, if the flow rate is too high, the hydrocyclone cannot separate the slurry quickly enough; if the flow rate is too low, the hydrocyclone cannot function effectively. This embodiment allows for the acquisition of the feed flow rate of the coal slurry entering the hydrocyclone. This flow rate is compared with a reference flow rate, which can be the flow rate when the hydrocyclone achieves good separation efficiency. This enables automated control (through valve opening) of the flow rate of the coal slurry entering the hydrocyclone, ensuring that the flow rate continuously approaches this reference flow rate, thereby improving the separation efficiency of the hydrocyclone.

[0074] Specifically, the solution proposed in this application can improve the working efficiency of hydrocyclones in existing coal preparation plants, realize automatic control of the feed flow rate of hydrocyclones, effectively improve the coal slime recovery rate of coal slime treatment systems in coal preparation plants, improve economic benefits, and reduce energy consumption.

[0075] The feed flow rate of the hydrocyclone is actually related to the separation efficiency and pressure drop. In specific implementation, the device further includes a second acquisition unit and a first determination unit. The second acquisition unit is used to acquire current relevant information after acquiring the current feed flow rate. The current relevant information includes at least one of the following: current feed concentration, current angle, current coal slurry particle size, current coal quality characteristics of the current coal slurry, and current ash content information of the current coal slurry. The current feed concentration is the concentration of the coal slurry entering the hydrocyclone, and the current angle is the angle between the axis of the hydrocyclone and the reference horizontal line. The first determination unit is used to determine the current separation efficiency and current pressure drop of the hydrocyclone based on the current feed flow rate and the current relevant information. The current separation efficiency is the efficiency of the hydrocyclone in separating mud and sand from the coal slurry, and the current pressure drop is the difference between the pressure at the inlet and the overflow pressure of the hydrocyclone.

[0076] In this scheme, the current relevant information can be analyzed first to obtain the mass flow characteristics of the hydrocyclone (i.e., coal slime particle size characteristics, coal quality characteristics, and ash content characteristics). Some basic information about the coal slime water (which can be initial information) can be set. Based on the obtained current feed flow rate and current relevant information, the current separation efficiency and current pressure drop of the hydrocyclone under the current operating parameters can be determined, thereby further accurately determining the working state of the hydrocyclone.

[0077] Specifically, the feed concentration can be obtained by detecting a density sensor installed on the feed pipe of the hydrocyclone to monitor the density of the hydrocyclone suspension.

[0078] Specifically, the included angle can be obtained by an inclination sensor installed below the outer wall of the hydrocyclone to monitor the angle between the hydrocyclone axis and the reference horizontal line.

[0079] To further accurately determine the current separation efficiency and current pressure drop of the hydrocyclone, the first determining unit of this application includes a first construction module, a first determining module, a second construction module, and a second determining module. The first construction module is used to construct a first model, wherein the first model is trained using multiple sets of training data, each set of training data including historical feed flow rate, historical related information, and historical separation efficiency acquired within a historical time period; the first determining module is used to determine the current separation efficiency corresponding to the current feed flow rate and the current related information based on the first model; the second construction module is used to construct a second model, wherein the second model is trained using multiple sets of training data, each set of training data including historical feed flow rate, historical related information, and historical pressure drop acquired within a historical time period; the second determining module is used to determine the current pressure drop corresponding to the current feed flow rate and the current related information based on the second model.

[0080] In this scheme, since the first model is pre-trained, it can determine the separation efficiency based on the input data. Therefore, using the first model can further accurately determine the current separation efficiency of the hydrocyclone. Since the second model is pre-trained, it can determine the pressure drop based on the input data. Therefore, using the second model can further accurately determine the current pressure drop of the hydrocyclone.

[0081] Specifically, the first model can be the first XGBoost regression prediction model, which can use the current feed flow rate and current relevant information as input variables and input them into the trained first XGBoost regression prediction model to obtain the current separation efficiency of the hydrocyclone under the current operating parameters. The first XGBoost regression prediction model is the existing XGBoost model, and the specific working process will not be described here.

[0082] Specifically, the second model can be a second XGBoost regression prediction model, which can use the current feed flow rate and current relevant information as input variables and input them into the trained second XGBoost regression prediction model to obtain the current pressure drop of the hydrocyclone under the current operating parameters. The second XGBoost regression prediction model is an existing XGBoost model, and the specific working process will not be described here.

[0083] Before adjusting the opening of the flow control valve, a reference feed flow rate can be determined. The reference feed flow rate is actually the optimal feed flow rate when the hydrocyclone is operating optimally. In some embodiments, the above-mentioned device further includes a third acquisition unit, a first calculation unit, and a second determination unit. The third acquisition unit is used to acquire reference related information before controlling the flow control valve to increase the valve opening. The reference related information includes at least one of the following: reference feed concentration, reference angle, reference coal slurry particle size, reference coal quality characteristics of the reference coal slurry, and reference coal slurry ash content information. The first calculation unit is used to perform multi-objective parameter calculations on the above-mentioned reference related information using a multi-objective genetic algorithm to obtain the reference separation efficiency and the reference pressure drop. The second determination unit is used to determine the reference feed flow rate based on the reference separation efficiency and the reference pressure drop.

[0084] In this scheme, relevant reference information can be obtained first. In fact, the relevant reference information is the information of the hydrocyclone with the highest separation efficiency and the lowest pressure drop. Therefore, a multi-objective genetic algorithm is used to determine the optimal separation efficiency (reference separation efficiency) and the optimal pressure drop (reference pressure drop). Then, the optimal feed flow rate (reference feed flow rate) with the highest separation efficiency and the lowest pressure drop can be calculated.

[0085] To further determine the reference feed flow rate, a weighting algorithm can be used to determine the degree of influence of different parameters on the reference feed flow rate. In the specific implementation process, the second determining unit includes a setting module and a calculation module. The setting module is used to set the first weighting coefficient and the second weighting coefficient; the calculation module is used to calculate the sum of the first product and the second product to obtain the reference feed flow rate. The first product is the product of the first weighting coefficient and the first feed flow rate, and the second weighting coefficient is the product of the second weighting coefficient and the second feed flow rate.

[0086] In this scheme, a weighting algorithm is used to determine the degree of influence of the first feed flow rate and the second feed flow rate on the reference feed flow rate. The first feed flow rate can be the feed flow rate obtained based on the separation efficiency, and the second feed flow rate can be the feed flow rate obtained based on the pressure drop. In this way, the corresponding feed flow rate can be obtained based on different parameters, and then a more accurate reference feed flow rate can be obtained through the weighting algorithm.

[0087] Specifically, the first feed flow rate obtained based on the separation efficiency can be calculated by reverse calculation based on the first model, and the second feed flow rate obtained based on the pressure drop can be calculated by reverse calculation based on the second model.

[0088] To ensure that the feed flow rate is within a normal range, the device further includes a third determining unit and a second controlling unit. The third determining unit is used to determine whether the reference feed flow rate is greater than a first threshold or less than a second threshold after determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop, wherein the first threshold is greater than the second threshold. The second controlling unit is used to not adjust the valve opening of the flow control valve when the reference feed flow rate is greater than the first threshold or less than the second threshold.

[0089] In this scheme, a first threshold and a second threshold are set in advance. The range that is less than the first threshold and greater than the second threshold is the normal operating range of the hydrocyclone. Generally, this range should not be exceeded. Therefore, the feed flow rate entering the hydrocyclone can be determined by comparing the thresholds. If it is within the normal range, the opening of the flow control valve can be automatically adjusted to adjust the feed flow rate. If it is not within the normal range, the opening of the flow control valve can be left unadjusted.

[0090] This application controls the feed flow rate into the hydrocyclone by controlling the opening of a flow control valve. However, if the flow control valve malfunctions, it will lead to inaccurate control of the feed flow rate into the hydrocyclone, resulting in low separation efficiency. Therefore, it is necessary to determine whether the flow control valve is malfunctioning. In some embodiments, the above-mentioned device further includes a storage unit, a second calculation unit, and a third determination unit. The storage unit is used to store multiple target feed flow rates within a target time period after controlling the flow control valve to reduce the valve opening. The second calculation unit is used to calculate the difference between any two consecutive target feed flow rates among the multiple target feed flow rates, obtaining multiple flow difference values. The third determination unit is used to determine that the flow control valve is malfunctioning if any of the flow difference values ​​is greater than or equal to a second predetermined flow difference value.

[0091] In this scheme, multiple target feed flow rates within a target time period can be stored first. The target feed flow rate refers to the feed flow rate entering the hydrocyclone after the opening of the flow control valve is adjusted. If the target feed flow rate suddenly increases, it may be due to an abnormality in the flow control valve. Similarly, if the target feed flow rate suddenly decreases, it may also be due to an abnormality in the flow control valve. Therefore, the difference between any two consecutive target feed flow rates can be used to analyze whether the flow vacancy room is abnormal.

[0092] Specifically, after storing the target feed flow rate, the target feed flow rate can be displayed on the display interface. Curves can also be generated based on multiple target feed flow rates to facilitate further data analysis.

[0093] The aforementioned hydrocyclone feed flow control device includes a processor and a memory. The first acquisition unit and the first control unit, etc., are all stored as program units in the memory, and the processor executes these program units to achieve the corresponding functions. All of the above modules are located in the same processor; alternatively, the modules may be located in different processors in any combination.

[0094] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can improve the separation efficiency of the hydrocyclone.

[0095] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0096] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the method for controlling the feed flow rate of the hydrocyclone.

[0097] Specifically, the methods for controlling the feed flow rate of a hydrocyclone include:

[0098] Step S201: Obtain the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water entering the hydrocyclone.

[0099] Step S202: When the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference. When the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0100] This invention provides a processor for running a program, wherein the program executes the method for controlling the feed flow rate of the hydrocyclone.

[0101] Specifically, the methods for controlling the feed flow rate of a hydrocyclone include:

[0102] Step S201: Obtain the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water entering the hydrocyclone.

[0103] Step S202: When the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference. When the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0104] This application also provides a control system for the feed flow rate of a hydrocyclone, including a host computer, a hydrocyclone, a flow control valve, a flow sensor, a density sensor, and an inclination sensor. The flow control valve is located at the inlet of the hydrocyclone. The flow sensor and the density sensor are installed on the feed pipe of the hydrocyclone. The inclination sensor is installed on the outer wall of the hydrocyclone. The flow sensor, the density sensor, and the inclination sensor communicate with the host computer. The host computer communicates with the flow control valve. The host computer is used to execute any of the above-described methods for controlling the feed flow rate of the hydrocyclone.

[0105] Specifically, such as Figure 5 As shown, the control system for the feed flow rate of the hydrocyclone includes a status monitoring module, a data processing module, a control execution module, a remote operation platform, and a cloud storage device.

[0106] The condition monitoring module includes a hydrocyclone inlet flow sensor, a density sensor, and an tilt sensor. The hydrocyclone inlet flow sensor is installed on the hydrocyclone feed pipe to monitor the flow rate of coal slurry water at the hydrocyclone inlet; the density sensor is installed on the hydrocyclone feed pipe to monitor the density of the hydrocyclone suspension; and the tilt sensor is installed below the outer wall of the hydrocyclone to monitor the angle between the hydrocyclone axis and the reference horizontal line.

[0107] Furthermore, the data processing module includes a data acquisition card and a host computer (the data acquisition card is used to convert the analog signals obtained by the sensor into digital signals that the computer can process; without the data conversion by the acquisition card, the computer cannot obtain the sensor acquisition information).

[0108] Furthermore, the flow sensor, density sensor, and tilt sensor are all connected to the signal input terminal of the data acquisition card, the output terminal of the data acquisition card is connected to the input terminal of the host computer, and the output terminal of the host computer is connected to the PLC controller of the control execution module.

[0109] Furthermore, the data acquisition card is used to collect data from various sensors; the host computer is used to receive and process the data collected by the data acquisition card and send control commands to the control execution module.

[0110] Furthermore, the host computer processes the input data of the state monitoring module based on the xgboost regression prediction model and the multi-objective genetic optimization algorithm, and feeds it back to the control execution module through the output of the host computer.

[0111] The control and execution module includes a PLC controller and a flow control valve.

[0112] Furthermore, the PLC controller adjusts the opening and direction of the flow control valve according to the control instructions of the host computer, and feeds back the adjusted flow control valve information to the data processing module in real time; the flow control valve is used to receive signals from the PLC controller to realize automatic control of the inlet flow of the hydrocyclone.

[0113] The remote operation platform can display, collect, and record all relevant data of the coal slurry water and hydrocyclone (for real-time data display and collection).

[0114] Cloud storage devices can transmit and save data from host computers in real time, enabling data storage, display, query, retrieval, processing, and analysis (for historical data storage, display, query, retrieval, processing, and analysis, processing and analysis refers to determining whether there are sudden large fluctuations).

[0115] The control process for the feed flow rate of the hydrocyclone described above includes the following steps:

[0116] Step 1: The host computer first analyzes the coal slime particle size test report (obtained in advance from the factory, including raw coal batch, raw coal composition, coal slime particle size) as well as coal slime quality and ash content information to obtain the mass flow characteristics of the hydrocyclone and sets the basic information of coal slime water in the host computer.

[0117] Step 2: The flow sensor, density sensor, and tilt sensor of the status monitoring module monitor the feed flow rate, feed concentration, and the angle between the hydrocyclone axis and the horizontal line in real time. The data acquisition card of the data processing module collects the hydrocyclone inlet flow rate data measured by the flow sensor, the hydrocyclone suspension density data measured by the density sensor, and the angle between the hydrocyclone axis and the horizontal line measured by the tilt sensor. The collected data is transmitted to the host computer of the data processing module. The host computer uses the feed flow rate, feed concentration, and the angle between the hydrocyclone axis and the horizontal line monitored by the flow sensor, density sensor, and tilt sensor, as well as the basic information of coal slurry water pre-set in Step 1, as input variables and inputs them into the pre-trained xgboost regression prediction model to obtain the hydrocyclone separation efficiency and pressure drop under the current operating parameters.

[0118] Step 3: Using the hydrocyclone separation efficiency and pressure drop predicted by the above xgboost regression as target variables, and the feed concentration, the angle between the hydrocyclone axis and the horizontal line collected by the above data acquisition card, and the basic information of coal slurry water pre-set in Step 1 as input variables, while setting the rated processing capacity working range of the hydrocyclone, a multi-objective genetic algorithm is selected for multi-objective optimization to obtain the Pareto solution set. Then, through the weight coefficient integration method, the compromise optimal solution of multi-objective optimization is obtained, and the optimal feed flow rate with the highest hydrocyclone separation efficiency and the lowest pressure drop under the current working parameters is obtained.

[0119] Step 4: The host computer in the data processing module communicates with the control execution module via Ethernet, transmitting the optimal feed flow rate calculated in Step 2 to the PLC controller in the execution control module. The PLC controller sends relevant control commands to the actuator (flow control valve) based on the input data, realizing real-time adjustment of the hydrocyclone feed rate. If the monitored current feed rate of the hydrocyclone is lower than the calculated optimal feed flow rate, the PLC controller sends control command 1 to the actuator, controlling the flow control valve to increase the valve opening, thereby increasing the feed flow rate of the hydrocyclone and maximizing the working efficiency of the hydrocyclone under the current operating parameters. If the monitored current feed rate of the hydrocyclone is higher than the calculated optimal feed flow rate, the PLC controller sends control command 0 to the actuator, controlling the flow control valve to decrease the valve opening, thereby decreasing the feed flow rate of the hydrocyclone and maximizing the working efficiency of the hydrocyclone under the current operating parameters.

[0120] Step 5: The data processing module and the status monitoring module can communicate with the remote operation platform simultaneously and send the real-time working information of the hydrocyclone to the remote operation platform for remote monitoring and control.

[0121] Step 6: Repeat steps 1 to 5 to achieve automatic control of the feed flow rate of the hydrocyclone.

[0122] The host computer calculates the optimal feed flow rate of the hydrocyclone in real time using the XGBoost regression model and a multi-objective genetic algorithm. The PLC controller dynamically adjusts the opening and direction of the flow control valve to achieve automatic control of the feed flow rate. This solution maximizes the coal slime recovery rate and hydrocyclone efficiency in the coal slime treatment system of the coal preparation plant, reduces energy consumption, and significantly improves the economic benefits of the coal preparation plant.

[0123] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps:

[0124] Step S201: Obtain the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water entering the hydrocyclone.

[0125] Step S202: When the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference. When the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0126] The devices mentioned in this article can be servers, PCs, tablets, mobile phones, etc.

[0127] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0128] Step S201: Obtain the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water entering the hydrocyclone.

[0129] Step S202: When the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference. When the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

[0130] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0131] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0133] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0134] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0135] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0136] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0137] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0138] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0139] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0140] 1) The hydrocyclone feed flow control method of this application can obtain the feed flow of coal slurry water entering the hydrocyclone, compare this flow with the reference feed flow, which can be when the hydrocyclone separation efficiency is relatively good. In this way, the flow of coal slurry water entering the hydrocyclone can be automatically controlled (by controlling the valve opening) so that the incoming flow continuously approaches the reference feed flow, thereby improving the separation efficiency of the hydrocyclone.

[0141] 2) The hydrocyclone feed flow control device of this application can obtain the feed flow rate of coal slurry water entering the hydrocyclone, compare this flow rate with the reference feed flow rate, which can be when the hydrocyclone separation efficiency is relatively good. In this way, the flow rate of coal slurry water entering the hydrocyclone can be automatically controlled (by controlling the valve opening) so that the incoming flow rate continuously approaches the reference feed flow rate, thereby improving the separation efficiency of the hydrocyclone.

[0142] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for controlling the feed flow rate of a hydrocyclone, characterized in that, The flow control valve is located at the inlet of the hydrocyclone, and the method includes: Obtain the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water currently entering the hydrocyclone; When the current feed flow rate is less than the reference feed flow rate, the flow control valve is controlled to increase its opening so that the difference between the current feed flow rate and the reference feed flow rate is less than a first predetermined flow rate difference. When the current feed flow rate is greater than the reference feed flow rate, the flow control valve is controlled to decrease its opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference. The specific control process includes the following steps: Step 1: The host computer first analyzes the coal slime particle size detection report and the coal slime quality and ash content information to obtain the mass flow characteristics of the hydrocyclone. Basic information about the coal slime water is then set in the host computer. The detection report, obtained in advance from the factory, includes the raw coal batch, raw coal composition, and coal slime particle size. Step 2: The flow sensor, density sensor, and tilt sensor of the status monitoring module monitor the feed flow rate, feed concentration, and the angle between the hydrocyclone axis and the horizontal line in real time. The data acquisition card of the data processing module collects the hydraulic fluid measured by the flow sensor. The hydrocyclone inlet flow rate data, the hydrocyclone suspension density data measured by the density sensor, and the angle between the hydrocyclone axis and the horizontal line measured by the tilt sensor are collected and transmitted to the host computer of the data processing module. The host computer uses the feed flow rate, feed concentration, and the angle between the hydrocyclone axis and the horizontal line monitored by the flow sensor, density sensor, and tilt sensor, as well as the basic information of coal slurry water pre-set in step one as input variables, and inputs them into the pre-trained xgboost regression prediction model to obtain the hydrocyclone separation efficiency and pressure drop under the current operating parameters. Step 3: Using the hydrocyclone separation efficiency and pressure drop predicted by the XGBoost regression as target variables, and the feed concentration, the angle between the hydrocyclone axis and the horizontal line collected by the data acquisition card, and the basic information of coal slurry water pre-set in Step 1 as input variables, while setting the rated processing capacity operating range of the hydrocyclone, a multi-objective genetic algorithm is used for multi-objective optimization to obtain the Pareto solution set. Then, through a weighted coefficient integration method, the compromise optimal solution for the multi-objective optimization is obtained, yielding the optimal feed flow rate that maximizes the hydrocyclone separation efficiency and minimizes the pressure drop under the current operating parameters. Step 4: Data processing module The host computer in the block communicates with the control execution module via Ethernet, transmitting the optimal feed flow rate data calculated in step two to the PLC controller in the execution control module. The PLC controller sends relevant control commands to the flow control valve based on the input data, realizing real-time adjustment of the feed rate of the hydrocyclone. Step five: The data processing module and the status monitoring module can communicate with the remote operation platform simultaneously, and send the real-time working information of the hydrocyclone to the remote operation platform in real time, so that the remote operation platform can perform remote monitoring and control. Step six: Repeat steps one to five to realize automatic control of the feed flow rate of the hydrocyclone.

2. The method according to claim 1, characterized in that, After obtaining the current feed flow rate, the method further includes: Obtain current relevant information, wherein the current relevant information includes at least one of the following: current feed concentration, current angle, current coal slime particle size of current coal slime water, current coal quality characteristics of current coal slime water, and current ash content information of current coal slime water, wherein the current feed concentration is the concentration of coal slime water currently entering the hydrocyclone, and the current angle is the angle between the axis of the hydrocyclone and the reference horizontal line; Based on the current feed flow rate and the current relevant information, the current separation efficiency and current pressure drop of the hydrocyclone are determined, wherein the current separation efficiency is the efficiency of the hydrocyclone in separating mud and sand from coal slurry water, and the current pressure drop is the difference between the current inlet pressure and the overflow pressure of the hydrocyclone.

3. The method according to claim 2, characterized in that, Based on the current feed flow rate and the current relevant information, determine the current separation efficiency and current pressure drop of the hydrocyclone, including: Construct a first model, wherein the first model is trained using multiple sets of training data, each set of training data including: historical feed flow rate, historical related information and historical separation efficiency acquired within a historical time period; The current separation efficiency is determined based on the first model, corresponding to the current feed flow rate and the current relevant information. A second model is constructed, wherein the second model is trained using multiple sets of training data, each set of training data including: the historical feed flow rate, the historical related information, and the historical pressure drop acquired within a historical time period; The current pressure drop is determined based on the second model, corresponding to the current feed flow rate and the current relevant information.

4. The method according to claim 2, characterized in that, Before controlling the flow control valve to increase the valve opening, the method further includes: Obtain relevant reference information, wherein the relevant reference information includes at least one of the following: reference feed concentration, reference included angle, reference coal slime particle size, reference coal quality characteristics of reference coal slime water, and reference coal slime water ash content information. A multi-objective genetic algorithm is used to calculate multi-objective parameters of the reference-related information to obtain the reference separation efficiency and reference pressure drop; The reference feed flow rate is determined based on the reference separation efficiency and the reference pressure drop.

5. The method according to claim 4, characterized in that, The reference feed flow rate is determined based on the reference separation efficiency and the reference pressure drop, including: Set the first weighting coefficient and the second weighting coefficient; The reference feed flow rate is obtained by summing the first product and the second product, wherein the first product is the product of the first weighting coefficient and the first feed flow rate, and the second weighting coefficient is the product of the second weighting coefficient and the second feed flow rate.

6. The method according to claim 4, characterized in that, After determining the reference feed flow rate based on the reference separation efficiency and the reference pressure drop, the method further includes: Determine whether the reference feed flow rate is greater than a first threshold or less than a second threshold, wherein the first threshold is greater than the second threshold; If the reference feed flow rate is greater than the first threshold or less than the second threshold, the valve opening of the flow control valve shall not be adjusted.

7. The method according to claim 1, characterized in that, After controlling the flow control valve to reduce the valve opening, the method further includes: Store multiple target feed flow rates within a target time period; Calculate the difference between any two consecutive target feed flow rates among the multiple target feed flow rates to obtain multiple flow rate differences; If the flow rate difference is greater than or equal to the second predetermined flow rate difference, the flow control valve is determined to be malfunctioning.

8. A device for controlling the feed flow rate of a hydrocyclone, characterized in that, A method for controlling the feed flow rate of a hydrocyclone according to any one of claims 1 to 7, wherein the flow control valve is located at the inlet of the hydrocyclone, the device comprising: The first acquisition unit is used to acquire the current feed flow rate, wherein the current feed flow rate is the flow rate of coal slurry water currently entering the hydrocyclone; A first control unit is configured to, when the current feed flow rate is less than the reference feed flow rate, control the flow control valve to increase the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than a first predetermined flow rate difference; and when the current feed flow rate is greater than the reference feed flow rate, control the flow control valve to decrease the valve opening so that the difference between the current feed flow rate and the reference feed flow rate is less than the first predetermined flow rate difference.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the hydrocyclone feed flow control method according to any one of claims 1 to 7.

10. A control system for the feed flow rate of a hydrocyclone, characterized in that, include: The system comprises a host computer, a hydrocyclone, a flow control valve, a flow sensor, a density sensor, and an inclination sensor. The flow control valve is located at the inlet of the hydrocyclone. The flow sensor and the density sensor are installed on the feed pipe of the hydrocyclone. The inclination sensor is installed on the outer wall of the hydrocyclone. The flow sensor, the density sensor, and the inclination sensor communicate with the host computer. The host computer communicates with the flow control valve. The host computer is used to execute the hydrocyclone feed flow control method according to any one of claims 1 to 7.

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