Dense medium system index regulation and control method, system and device and storage medium

Abstract

The invention provides a dense medium system index regulation and control method, system and device and a storage medium. The method comprises the steps that the current medium density value of medium liquid in a medium mixing barrel, raw coal quality parameters and product parameters corresponding to the raw coal quality parameters are obtained in real time; based on the separation density model, target medium density values needed when the raw coal quality parameters are separated into different product parameters are determined; obtaining an adjustment medium density value based on the current medium density value and the target medium density value; and based on the medium regulation and control strategy, determining the opening values of the diverter valve and the water replenishing valve corresponding to the medium density value. Therefore, intelligent adjustment of the dense medium system indexes is achieved, dependence on manual experience regulation is reduced, the qualified rate of the dense medium system product indexes is further improved, and the clean coal recovery rate is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal washing, and in particular to a heavy medium system index control method, system, equipment and storage medium. Background Art

[0002] The heavy medium system is a process system used for coal sorting. It mainly controls the sorting process by adjusting the medium density to ensure the quality and stability of coal products. Coal preparation plants need to select appropriate washing process and sorting density values ​​based on the properties of the raw coal entering the mine and the user's demand for product indicators to ensure that the product indicators sorted by the system meet the needs of users, and to increase the product yield as much as possible when the product indicators are qualified, thereby maximizing the yield of the washing process.

[0003] The intelligent control system in the existing technology has the following problems: it still needs to rely on the experience of operators, the control logic is relatively fixed, and it is difficult to cope with the changing coal quality and washing needs; the process flow, index requirements, and assessment methods of different coal preparation plants vary greatly, and the existing system lacks pertinence and is difficult to meet various needs; it lacks the ability of self-learning and automatic adjustment, and cannot continuously optimize the control strategy according to actual operating conditions; it lacks the guidance, analysis and decision-making ability of operators, resulting in the inability of operators to fully understand the system operation status and target indicators, and it is difficult to make scientific and efficient adjustment decisions, thereby limiting the degree of automation of the heavy medium system and reducing coal washing efficiency and product quality. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a heavy medium system index control method, system, equipment and storage medium to achieve intelligent adjustment of heavy medium system indicators, reduce dependence on manual experience control, and improve the qualified rate of heavy medium system product indicators and the clean coal recovery rate.

[0005] In a first aspect, the present invention provides a method for regulating and controlling indicators of a heavy medium system, comprising: Real-time acquisition of the current medium density value of the medium liquid in the combined medium barrel, the raw coal quality parameters and the product parameters corresponding to the raw coal quality parameters; Based on the sorting density model, determining the target medium density value required when sorting the raw coal quality parameters into different product parameters; Based on the current medium density value and the target medium density value, obtaining an adjusted medium density value; Based on the medium control strategy, the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value are determined.

[0006] Optionally, the sorting density model is obtained by: Acquire a historical data set; wherein the historical data set includes historical medium density values ​​and historical raw coal quality parameters and historical product parameters corresponding to the historical medium density values; Based on the historical data set, a decision tree model is trained to obtain the sorting density model; wherein the decision tree model takes the historical raw coal quality parameters and the historical product parameters as input, and takes the historical medium density value as output.

[0007] Optionally, optimize the sorting density model by: Get product parameters in real time; constructing an optimized data set based on the product parameters, raw coal quality parameters corresponding to the product parameters, and medium density values; Based on the optimization data set, the parameters in the sorting density model are optimized.

[0008] Optionally, based on the medium control strategy, determining the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value includes: Based on the priority strategy, the parameter indicators are sorted to obtain a hierarchical control rule; wherein the parameter indicators include the liquid level of the combined medium barrel, the sorting density and the coal slime content; the hierarchical control rule is to take liquid level control as the first priority, density control as the second priority, and coal slime control as the third priority; Based on the hierarchical control rule, an incremental PID strategy is used to determine the density value of the regulating medium; wherein the incremental PID strategy is:

[0009] In the formula, To adjust the medium density value, are the increment coefficients, is the gray difference value of this cycle, is the gray difference value of the previous cycle, is the gray difference value of the previous cycle; Based on the density value of the regulating medium, the opening values ​​of the diverter valve and the water supply valve are determined.

[0010] Optionally, determining the opening values ​​of the diverter valve and the water supply valve based on the density value of the regulating medium further includes: Obtaining the current liquid level value and the safe liquid level value of the medium liquid in the combined medium barrel; Determining an increased liquid level value based on the current liquid level value and the safe liquid level value; Based on the increased liquid level value, the opening values ​​of the diverter valve and the water supply valve are determined.

[0011] Optionally, determining the opening values ​​of the diverter valve and the water supply valve based on the density value of the regulating medium further includes: Obtain the current magnetic content value and the preset magnetic content value of the medium liquid in the combination barrel; Determining an adjusted magnetic substance content value based on the previous magnetic substance content value and the preset magnetic substance content value; Based on the adjusted magnetic substance content value, the opening value of the diverter valve is determined.

[0012] Optionally, the determining of the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value based on the medium control strategy further includes: Based on the time series prediction model, the predicted medium density value is obtained; Based on the predicted medium density value, the parameters in the incremental PID strategy are modified.

[0013] In a second aspect, the present invention provides a heavy medium system index control system, comprising: An acquisition module is used to obtain in real time the current medium density value of the medium liquid in the combined medium barrel, the raw coal quality parameters and the product parameters corresponding to the raw coal quality parameters; A sorting module, for determining the target medium density value required for sorting the raw coal quality parameters into different product parameters based on a sorting density model; A density module, configured to obtain an adjusted medium density value based on the current medium density value and the target medium density value; The regulating module is used to determine the opening values ​​of the diverter valve and the water supply valve corresponding to the regulating medium density value based on the medium regulation strategy.

[0014] 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 steps of the above-mentioned heavy medium system indicator control method when executing the computer program.

[0015] In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores machine-executable instructions. When the machine-executable instructions are called and executed by a processor, the machine-executable instructions prompt the processor to execute the above-mentioned heavy-medium system indicator control method.

[0016] The embodiment of the present invention provides a method, system, device and storage medium for adjusting the index of a heavy medium system, which obtains the current medium density value of the medium liquid in the combined medium barrel, the raw coal quality parameters and the product parameters corresponding to the raw coal quality parameters in real time; based on the sorting density model, determines the target medium density value required when the raw coal quality parameters are sorted into different product parameters; based on the current medium density value and the target medium density value, obtains the adjusted medium density value; based on the medium control strategy, determines the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value. In this way, the intelligent adjustment of the heavy medium system index is realized, the dependence on manual experience control is reduced, the qualified rate of the heavy medium system product index is further improved, and the clean coal recovery rate is improved.

[0017] 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

[0018] 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.

[0019] Figure 1 A schematic flow chart of a method for controlling indexes of a heavy medium system provided by an embodiment of the present invention is shown; Figure 2 A schematic flow chart of another method for controlling indexes of a heavy medium system provided in an embodiment of the present invention is shown; Figure 3 A schematic diagram showing the structure of a heavy medium system index control system provided by an embodiment of the present invention; Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0020] 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.

[0021] Figure 1 A flow chart of a method for controlling a heavy medium system index provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the method comprises the following steps: Step S110, obtaining in real time the current medium density value of the medium liquid in the medium barrel, the raw coal quality parameters, and the product parameters corresponding to the raw coal quality parameters.

[0022] Among them, the raw coal can be floated and sunk online through the floating and sinking machine equipment, and the proportion of products of different density grades in the raw coal can be obtained in real time. The change of the raw coal can be judged by the change of the raw coal floating and sinking proportion data, and the density range of the theoretical sorting product can be calculated.

[0023] Furthermore, the density values ​​of different density grade products in raw coal can be divided into 7 grades, namely <1.3kg / l, <1.3~1.4kg / l, <1.4~1.5kg / l, <1.5~1.6kg / l, <1.6~1.7kg / l, <1.7~1.8kg / l and >1.8kg / l.

[0024] It should be noted that the density range of the theoretical sorting products is calculated based on the floating and sinking proportions of the raw coal. This is done within a short period of time and is based on the theory that the ash content remains unchanged.

[0025] Furthermore, the current medium density value of the medium liquid in the combined medium barrel can be obtained by a density meter arranged in the combined medium barrel.

[0026] Furthermore, the substances in the raw coal are washed through a heavy medium system to obtain different types of products. The product parameters of each type of product are different. The product parameters in this application refer to the product ash content.

[0027] Step S120: Based on the sorting density model, determine the target medium density value required for sorting the raw coal quality parameters into different product parameters.

[0028] In an optional embodiment, the sorting density model is obtained by the following method: Acquire a historical data set; wherein the historical data set includes historical medium density values ​​and historical raw coal quality parameters and historical product parameters corresponding to the historical medium density values; Based on the historical data set, a decision tree model is trained to obtain the sorting density model; wherein the decision tree model takes the historical raw coal quality parameters and the historical product parameters as input, and takes the historical medium density value as output.

[0029] In an optional embodiment, the sorting density model is optimized by the following method: Get product parameters in real time; Construct an optimized data set based on product parameters, raw coal quality parameters corresponding to the product parameters, and medium density values; Based on the optimization data set, the parameters in the sorting density model are optimized.

[0030] Among them, product parameters include product yield and product ash content. The product yield can be detected by a belt scale in real time to detect the proportion of various types of washing products in the heavy medium system. Combined with the floating and sinking proportions of raw coal, it can be determined whether there is a deviation in the current sorting process, and the yield of various products can be calculated; The ash content of products can be measured in real time using an ash analyzer.

[0031] In order to avoid the error caused by instantaneous fluctuation of the ash analyzer, the accuracy and stability of the ash data are improved through periodic calibration and data prediction.

[0032] Among them, the ash content data detected by the ash content meter in real time is compared with the ash content data tested manually, and the ash content meter is calibrated regularly to ensure the accuracy of the data.

[0033] When calculating the ash content data, the least squares method is used to perform regression prediction on the ash content data within a preset time to smooth out instantaneous ash content fluctuations and improve the stability of the prediction.

[0034] Step S130: obtaining an adjusted medium density value based on the current medium density value and the target medium density value.

[0035] The current medium density value is compared with the target medium density value to obtain a medium density difference value, and the medium density difference value is used as the adjusted medium density value.

[0036] Step S140: Based on the medium control strategy, determine the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value.

[0037] In an optional embodiment, in step S140, based on the medium control strategy, determining the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value includes: Based on the priority strategy, the parameter indicators are sorted to obtain a hierarchical control rule; wherein the parameter indicators include the liquid level of the combined medium barrel, the sorting density and the coal slime content; the hierarchical control rule is to take liquid level control as the first priority, density control as the second priority, and coal slime control as the third priority; Based on the hierarchical control rule, an incremental PID strategy is used to determine the density value of the regulating medium; wherein the incremental PID strategy is:

[0038] In the formula, To adjust the medium density value, are the increment coefficients, is the gray difference value of this cycle, is the gray difference value of the previous cycle, is the gray difference value of the previous cycle; Based on the density value of the regulating medium, the opening values ​​of the diverter valve and the water supply valve are determined.

[0039] Furthermore, the gray difference can be obtained as follows:

[0040] In the formula, is the ash content data of the target product, is the actual ash content data of the product within the period; The actual ash content data of the product within the cycle can be calculated by PID algorithm, least squares algorithm or average value algorithm.

[0041] In an optional embodiment, determining the opening values ​​of the diverter valve and the water supply valve based on the density value of the regulating medium further includes: Obtaining the current liquid level value and the safe liquid level value of the medium liquid in the combined medium barrel; Determining an increased liquid level value based on the current liquid level value and the safe liquid level value; Based on the increased liquid level value, the opening values ​​of the diverter valve and the water supply valve are determined.

[0042] In an optional embodiment, determining the opening values ​​of the diverter valve and the water supply valve based on the density value of the regulating medium further includes: Obtain the current magnetic content value and the preset magnetic content value of the medium liquid in the combination barrel; Determining an adjusted magnetic substance content value based on the previous magnetic substance content value and the preset magnetic substance content value; Based on the adjusted magnetic substance content value, the opening value of the diverter valve is determined.

[0043] In an optional embodiment, the determining the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value based on the medium control strategy further includes: Based on the time series prediction model, the predicted medium density value is obtained; Based on the predicted medium density value, the parameters in the incremental PID strategy are modified.

[0044] In order to avoid medium density fluctuations caused by excessive diversion or water replenishment, the key indicators such as the liquid level of the combined medium barrel, sorting density and coal slime content are graded and regulated through incremental PID strategy and priority strategy. While ensuring the stable operation of various indicators, priority is given to meeting the indicators that have the greatest impact on production efficiency and product quality, thereby achieving more intelligent and precise control.

[0045] Specifically, firstly, a priority strategy is adopted to sort the parameters such as the liquid level of the combined medium barrel, the sorting density and the coal slime content, and a hierarchical control rule is obtained. The hierarchical control rule takes liquid level control as the first priority, density control as the second priority, and coal slime control as the third priority; Secondly, an incremental PID strategy is adopted to determine the opening values ​​of the diverter valve and the water supply valve corresponding to the density value of the regulating medium, and to correct the parameters in the incremental PID strategy based on the time series prediction model; wherein, the liquid level value of the combined barrel is first adjusted to ensure that the liquid level value in the combined barrel is within the safe liquid level value, that is, the liquid level value of the combined barrel is in the range of the highest liquid level value and the lowest liquid level value. When the liquid level value in the combined barrel is in the abnormal range, it is adjusted according to the set corresponding maximum and minimum valve opening values. For example, when the liquid level value in the combined barrel is close to or lower than the minimum liquid level value, the opening value of the diverter valve is minimized and the opening value of the water supply valve is maximized; when the liquid level value in the combined barrel is close to the highest liquid level value, the diverter valve is opened. The opening value of the valve is the maximum and the opening value of the water supply valve is the minimum; when the liquid level value in the combined barrel is higher than the maximum liquid level value, close the diverter valve; then when adjusting the density value, first determine whether the liquid level value in the combined barrel is within the normal range, and then obtain the adjustment medium density value based on the incremental PID strategy to adjust the density; finally, adjust the coal slime value. When the liquid level value and density value in the combined barrel meet the requirements, detect the current magnetic content value of the medium liquid in the combined barrel. If the current magnetic content value is high, increase the diverter valve opening to discharge more medium liquid with magnetic content to ensure the sorting density. When the current magnetic content value is low, reduce the diverter opening to improve the stability of the medium liquid in the combined barrel. Finally, based on the time series prediction model, the predicted medium density value is obtained, and based on the predicted medium density value, the medium density value change trend is obtained, and then the parameters in the incremental PID strategy are corrected; wherein, the time series prediction model can adopt the least squares algorithm.

[0046] like Figure 2 As shown, the specific process of a heavy medium system index control method provided by the present invention is as follows: Step 1: Obtain raw coal quality parameters and set target product parameters in real time, input raw coal quality parameters and target product parameters into the sorting density model to obtain the target medium density value; Step 2: The density control subsystem in the heavy medium system adjusts the medium density value of the medium liquid in the combined medium barrel to reach the target medium density value based on the target medium density value; Step 3: Obtain the current medium density value of the medium liquid in the combination barrel in real time, compare the current medium density value with the target medium density value, and obtain the adjusted medium density value; Step 4: Input the adjusted medium density value into the medium control strategy to obtain the opening values ​​of the diverter valve and the water supply valve; wherein, it also includes obtaining the liquid level value of the medium liquid in the combined medium barrel in real time, and determining the opening values ​​of the diverter valve and the water supply valve based on the liquid level value; obtaining the magnetic content value in the medium liquid in the combined medium barrel in real time, determining whether the magnetic content value in the medium liquid is within the preset magnetic content range, and if not, adjusting the magnetic content value in the medium liquid through the diverter valve; Step 5: Obtain product parameters in real time. Based on product parameters and manual review, verify whether the medium density used in the heavy medium system meets the current washing requirements. The belt scale can be used to detect the proportion of various types of washing products in real time. Combined with the raw coal floating data, it can be determined whether there is a deviation in the current sorting process. If there is a deviation, manual auxiliary analysis and intervention are performed to adjust the medium density value of the medium liquid. The ash data of various products are detected in real time by an ash meter, and the ash meter detection data is periodically calibrated in combination with the manual ash data. During the ash detection process, the ash data within a preset time period is predicted by using the least squares method.

[0047] The present invention provides a method for regulating and controlling heavy medium system indicators, which has the following specific effects: 1. The priority strategy is introduced to effectively solve the problem of mutual balance and mutual restriction between the combined medium bucket position, sorting density and coal slime content in the suspension. At the same time, the incremental PID control strategy is introduced to solve the problem of long adjustment cycle and easy overshoot of traditional PID, thereby improving the stability of control; 2. Through the formation of feedforward based on the raw coal quality parameters and feedback of the detection product parameters to form a dual-factor analysis, the feedforward detection is used to effectively solve the impact of coal quality fluctuations and changes on the washing process. The multi-parameter decision tree and least squares regression prediction are introduced in the feedback detection, which effectively avoids the influence of random fluctuations and errors of the detection equipment on the adjustment of the medium density value, thereby improving the stability of the product and the product qualification rate.

[0048] An embodiment of the present invention provides a heavy-medium system indicator control system, which includes a key control software subsystem and a voice interaction subsystem, wherein the key control software subsystem is a key control software subsystem designed based on the BS architecture, and the key control software subsystem includes a monitoring overview module and an analysis and statistics module.

[0049] The monitoring overview module is used to display all key sorting links and parameter information from the raw coal washing belt to the product storage belt. The monitoring overview module is also used to divide the data according to its importance and priority, and display the data information in various display forms such as real-time data, historical curves, graphic icons and colors. At the same time, according to the requirements of various related data indicators, information cards with different data types are designed. Through the monitoring overview module, the overall supervision of the sorting system of the whole plant can be basically achieved. The daily inspection of the monitoring overview module by the centralized controller can realize the data quality monitoring of the production process of the whole plant.

[0050] The analysis and statistics module is used to combine the various variables in the production process. The intelligent control system of the heavy medium system is supplemented with an ash return control recommendation guidance system. By acquiring and calculating the hourly coal washing ratio, sorting density, online ash content, and laboratory ash content data in real time, a complete data analysis and decision-making support capability is established. Operators can selectively perform manual intervention and control based on the trends and predictive control strategies provided by the analysis and statistics.

[0051] The voice interaction subsystem is used to enter the key control software subsystem details page when an abnormality occurs in the heavy media system or when more information and operations need to be viewed. At the same time, abnormal situations can be promptly fed back through the voice broadcast system to improve the efficiency of abnormality handling.

[0052] The present invention provides a heavy-duty medium system index control system, which reasonably integrates text, graphics, sound and auxiliary decision-making strategy functions to form a control system with autonomous decision-making, human supervision and unmanned control.

[0053] Figure 3 A structural diagram of a heavy medium system index control system provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, the system includes: The acquisition module 210 is used to obtain in real time the current medium density value of the medium liquid in the medium barrel, the raw coal quality parameters and the product parameters corresponding to the raw coal quality parameters; A sorting module 220, for determining a target medium density value required for sorting the raw coal quality parameters into different product parameters based on a sorting density model; A density module 230, configured to obtain an adjusted medium density value based on the current medium density value and the target medium density value; The regulating module 240 is used to determine the opening values ​​of the diverter valve and the water supply valve corresponding to the regulating medium density value based on the medium regulation strategy.

[0054] In an optional embodiment, the sorting module 220 is further used for: The sorting density model is obtained by the following method: Acquire a historical data set; wherein the historical data set includes historical medium density values ​​and historical raw coal quality parameters and historical product parameters corresponding to the historical medium density values; Based on the historical data set, a decision tree model is trained to obtain the sorting density model; wherein the decision tree model takes the historical raw coal quality parameters and the historical product parameters as input, and takes the historical medium density value as output.

[0055] In an optional embodiment, the sorting module 220 is further used for: The sorting density model was optimized by: Get product parameters in real time; Construct an optimized data set based on product parameters, raw coal quality parameters corresponding to the product parameters, and medium density values; Based on the optimization data set, the parameters in the sorting density model are optimized.

[0056] In an optional embodiment, the adjustment module 240 is further configured to: Based on the priority strategy, the parameter indicators are sorted to obtain a hierarchical control rule; wherein the parameter indicators include the liquid level of the combined medium barrel, the sorting density and the coal slime content; the hierarchical control rule is to take liquid level control as the first priority, density control as the second priority, and coal slime control as the third priority; Based on the hierarchical control rule, an incremental PID strategy is used to determine the density value of the regulating medium; wherein the incremental PID strategy is:

[0057] In the formula, To adjust the medium density value, are the increment coefficients, is the gray difference value of this cycle, is the gray difference value of the previous cycle, is the gray difference value of the previous cycle; Based on the density value of the regulating medium, the opening values ​​of the diverter valve and the water supply valve are determined.

[0058] In an optional embodiment, the adjustment module 240 is further configured to: Obtaining the current liquid level value and the safe liquid level value of the medium liquid in the combined medium barrel; Determining an increased liquid level value based on the current liquid level value and the safe liquid level value; Based on the increased liquid level value, the opening values ​​of the diverter valve and the water supply valve are determined.

[0059] In an optional embodiment, the adjustment module 240 is further configured to: Obtain the current magnetic content value and the preset magnetic content value of the medium liquid in the combination barrel; Determining an adjusted magnetic substance content value based on the previous magnetic substance content value and the preset magnetic substance content value; Based on the adjusted magnetic substance content value, the opening value of the diverter valve is determined.

[0060] In an optional embodiment, the adjustment module 240 is further configured to: Based on the time series prediction model, the predicted medium density value is obtained; Based on the predicted medium density value, the parameters in the incremental PID strategy are modified.

[0061] 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.

[0062] 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, and the processor 601 executes the machine-readable instructions to perform the steps of a heavy medium system indicator control method as described above.

[0063] Specifically, the above-mentioned memory 602 and 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, it can execute the above-mentioned heavy medium system indicator control method.

[0064] 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.

[0065] Corresponding to the above-mentioned method for regulating indicators of a heavy-medium system, 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 method for regulating indicators of a heavy-medium system.

[0066] A heavy medium system index control system 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, its implementation principle and the technical effect produced are the same as those in 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.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] 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 partly be embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling an electronic device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the control method of each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0072] 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.

[0073] 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 method for regulating and controlling indicators of a heavy medium system, characterized in that: include: Real-time acquisition of the current medium density value of the medium liquid in the combined medium barrel, the raw coal quality parameters and the product parameters corresponding to the raw coal quality parameters; Based on the sorting density model, determining the target medium density value required when sorting the raw coal quality parameters into different product parameters; Based on the current medium density value and the target medium density value, obtaining an adjusted medium density value; Based on the medium control strategy, the opening values ​​of the diverter valve and the water supply valve corresponding to the adjusted medium density value are determined.

2. The method for controlling heavy medium system indicators according to claim 1, characterized in that: The sorting density model is obtained by the following method: Acquire a historical data set; wherein the historical data set includes historical medium density values ​​and historical raw coal quality parameters and historical product parameters corresponding to the historical medium density values; Based on the historical data set, a decision tree model is trained to obtain the sorting density model; wherein the decision tree model takes the historical raw coal quality parameters and the historical product parameters as input, and takes the historical medium density value as output.

3. The method for controlling heavy medium system indicators according to claim 1 or 2, characterized in that: The sorting density model was optimized by the following method: Get product parameters in real time; constructing an optimized data set based on the product parameters, raw coal quality parameters corresponding to the product parameters, and medium density values; Based on the optimized data set, the parameters in the sorting density model are optimized.

4. The method for controlling heavy medium system indicators according to claim 1, characterized in that: The method of determining the opening values ​​of the diverter valve and the water supply valve corresponding to the density value of the adjusted medium based on the medium control strategy includes: Based on the priority strategy, the parameter indicators are sorted to obtain a hierarchical control rule; wherein the parameter indicators include the liquid level of the combined medium barrel, the sorting density and the coal slime content; the hierarchical control rule is to take liquid level control as the first priority, density control as the second priority, and coal slime control as the third priority; Based on the hierarchical control rule, an incremental PID strategy is used to determine the density value of the regulating medium; wherein the incremental PID strategy is: In the formula, To adjust the medium density value, are the increment coefficients, is the gray difference value of this cycle, is the gray difference value of the previous cycle, is the gray difference value of the previous cycle; Based on the density value of the regulating medium, the opening values ​​of the diverter valve and the water supply valve are determined.

5. The method for controlling heavy medium system indicators according to claim 4, characterized in that: Based on the density value of the regulating medium, the opening values ​​of the diverter valve and the water supply valve are determined, and the method further includes: Obtaining the current liquid level value and the safe liquid level value of the medium liquid in the combined medium barrel; Determining an increased liquid level value based on the current liquid level value and the safe liquid level value; Based on the increased liquid level value, the opening values ​​of the diverter valve and the water supply valve are determined.

6. The method for controlling heavy medium system indicators according to claim 4, characterized in that: Based on the density value of the regulating medium, the opening values ​​of the diverter valve and the water supply valve are determined, and the method further includes: Obtain the current magnetic content value and the preset magnetic content value of the medium liquid in the combination barrel; Determining an adjusted magnetic substance content value based on the previous magnetic substance content value and the preset magnetic substance content value; Based on the adjusted magnetic substance content value, the opening value of the diverter valve is determined.

7. The method for controlling heavy medium system indicators according to claim 4, characterized in that: The method of determining the opening values ​​of the diverter valve and the water supply valve corresponding to the density value of the adjusted medium based on the medium control strategy also includes: Based on the time series prediction model, the predicted medium density value is obtained; Based on the predicted medium density value, the parameters in the incremental PID strategy are modified.

8. A heavy medium system index control system, characterized in that: include: An acquisition module is used to obtain in real time the current medium density value of the medium liquid in the combined medium barrel, the raw coal quality parameters and the product parameters corresponding to the raw coal quality parameters; A sorting module, for determining the target medium density value required for sorting the raw coal quality parameters into different product parameters based on a sorting density model; A density module, configured to obtain an adjusted medium density value based on the current medium density value and the target medium density value; The regulating module is used to determine the opening values ​​of the diverter valve and the water supply valve corresponding to the regulating medium density value based on the medium regulation strategy.

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 steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores machine-executable instructions. When the machine-executable instructions are called and executed by a processor, the machine-executable instructions prompt the processor to execute the method according to any one of claims 1 to 7.

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