Coking coal coal preparation plant separation parameter optimization method and system

Abstract

The present application relates to the technical field of washing and dressing, and provides a coking coal dressing plant separation parameter optimization method and system. The optimization method comprises the following steps: S1: according to the screening floatation and sinking data, performing simulation calculation according to the maximum yield principle to obtain the optimal separation parameter in the main separation production line; S2: referring to the main separation production line to establish an optimization production line, and the processing capacity of the optimization production line is proportionally reduced according to the processing capacity of the main separation production line; S3: assigning the optimal separation parameter to the optimization production line and running the optimization production line; S4: obtaining the yield of the optimization production line and the yield of the main separation production line, and if the yield of the optimization production line is greater than the yield of the main separation production line, executing step S5; S5: migrating the optimal separation parameter to the main separation production line. The optimization method actively explores the optimal separation parameter without affecting the normal production of the production line, and realizes the pre-decision and active optimization of the separation parameter.

Description

Technical Field

[0001] This invention relates to the field of coal washing and processing technology, and in particular to a method and system for optimizing separation parameters in a coking coal preparation plant. Background Technology

[0002] Coking coal preparation plants specialize in washing and processing coal for coking purposes to produce low-ash clean coal that meets coking requirements. Their processes are characterized by complex separation procedures, high separation accuracy requirements, and stringent product quality requirements. Coking coal preparation plants have extremely strict requirements for the ash content of clean coal; the ash content grades of metallurgical coking coal range from Grade 1 to Grade 15, with each grade representing a 0.5% increment. The coal preparation plant must maximize clean coal yield while ensuring that the overall clean coal ash content does not exceed the upper limit specified for the target product grade.

[0003] Currently, coking coal preparation plants are making significant progress in optimizing production processes towards intelligent manufacturing. For example, in terms of intelligent control of single-stage processes, some plants have upgraded their core separation equipment with intelligent systems. By adding online detection sensors and linking them with equipment operating parameters, a certain degree of closed-loop regulation has been achieved. For instance, in the heavy media separation stage, the real-time adjustment of suspension density is achieved through the linkage between the online ash analyzer and the density control system; in the flotation stage, the dynamic adjustment of the flotation reagent regime is achieved through the linkage between tailings ash content detection and the reagent addition system.

[0004] Current technologies, when faced with fluctuations in the quality of raw coal entering the washing process, can only rely on historical experience or theoretical calculations to pre-calculate operating parameters. These parameters are then gradually adjusted based on test results after the production line has actually produced the product. This "test-adjust-retest" process not only causes significant fluctuations in product indicators in the initial stages, failing to meet product quality requirements or reducing product yield, but also, because the "test-adjust-retest" process requires multiple sets of sorting tests, it affects the production line's cycle time, leading to reduced output and failing to guarantee that the final operating parameters are optimal.

[0005] Therefore, how to proactively explore the optimal sorting parameters of the production line without affecting normal production, and how to make decisions and proactively optimize the sorting parameters, has become a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0006] This invention provides a method and system for optimizing sorting parameters in a coking coal preparation plant. This optimization method actively seeks the optimal sorting parameters without affecting the normal production line, thereby realizing decision-making and active optimization of the sorting parameters.

[0007] This invention provides a method for optimizing separation parameters in a coking coal preparation plant, comprising the following steps:

[0008] S1: Based on the screening and floating data, simulation calculations are performed according to the principle of maximum yield to obtain the optimal separation parameters for each part of the main separation line, including heavy media separation, interference separation and flotation. The optimal separation parameters include the separation density of heavy media separation, the separation density of interference separation and the amount of reagent added for flotation.

[0009] S2: Establish an optimization production line with reference to the main sorting production line, wherein the processing capacity of the optimization production line is proportionally reduced according to the processing capacity of the main sorting production line;

[0010] S3: Assign the optimal sorting parameters to the optimization production line and run the optimization production line;

[0011] S4: Obtain the yield of the optimization production line and the yield of the main sorting production line. If the yield of the optimization production line is greater than the yield of the main sorting production line, proceed to step S5.

[0012] S5: Transfer the optimal sorting parameters to the main sorting production line.

[0013] Optionally, in step S4, if the yield of the optimization production line is not greater than the yield of the main sorting production line, step S6 is executed;

[0014] S6: Obtain the continuous running time of the main sorting production line. If the continuous running time is greater than or equal to the time threshold, then execute step S1. If the continuous running time is less than the time threshold, then execute step S1 when the continuous running time equals the time threshold.

[0015] Optionally, step S6 further includes:

[0016] During continuous operation, the coal quality parameters of the raw coal sorted by the main sorting line are acquired at set intervals, and the changes in the coal quality parameters are calculated.

[0017] If the change amount is greater than the change threshold or the continuous running time is greater than or equal to the time threshold, then step S1 is executed.

[0018] Optionally, step S1 includes:

[0019] S1-1: Obtain the particle size range for heavy medium separation, interference separation, and flotation;

[0020] S1-2: Plot the selectivity curves of raw coal in each particle size range based on the screening float-sink data;

[0021] S1-3: Based on each sorting curve and the feed ratio of each sorting particle size range in actual production, calculate the overall basic ash yield and draw the overall raw coal sorting curve.

[0022] S1-4: Based on the comprehensive washability curve of raw coal and the ash content index of clean coal required by actual production, read the boundary ash content;

[0023] S1-5: Read the clean coal ash content on each of the selectivity curves based on the boundary ash content to obtain the clean coal ash content of raw coal in each particle size range;

[0024] S1-6: The optimal sorting parameters are derived by back-calculating the ash content of the raw coal in each particle size range.

[0025] Optionally, the optimization production line is a bypass production line of the main sorting production line.

[0026] Optionally, step S3 includes the following steps:

[0027] S3-1: In the optimization production line, each piece of equipment is started from back to front. The initial sorting parameters of each piece of equipment are set according to experience. After all equipment is started, the sampler begins to sample and sort.

[0028] S3-2: Set the parameters of each device in order from front to back, and assign the optimal sorting parameters to each device of the heavy medium sorting, the interference sorting, and the flotation respectively.

[0029] Optionally, obtaining the yield of the optimization production line and the yield of the main sorting production line in step S4 includes:

[0030] The yield of the sorted products in the optimization production line is continuously statistically analyzed using an ash water meter and a weighing coal feeder, and the average value is taken as the yield of the optimization production line.

[0031] The yield of the products after separation in the main sorting line is continuously calculated by using an ash water meter and a weighing coal feeder, and the average value is taken as the yield of the main sorting line.

[0032] Optionally, the step S1-3 of plotting the comprehensive raw coal washability curve includes:

[0033] The yields of heavy medium separation, interference separation, and flotation were retrieved from each selectivity curve.

[0034] The overall yield is calculated based on the feed ratio for each sorting particle size range, and the overall coal washability curve is plotted based on the basic ash content and overall yield data.

[0035] This invention also provides a system for optimizing separation parameters in a coking coal preparation plant, comprising:

[0036] Simulation calculation unit, optimization production line, detection unit, and control unit;

[0037] The simulation calculation unit is used to perform simulation calculations based on the screening and floating data and the principle of maximum yield to obtain the optimal separation parameters for each part of the main separation line, including the heavy medium separation, interference separation and flotation. The optimal separation parameters include the separation density of the heavy medium separation, the separation density of the interference separation and the amount of reagent added for flotation.

[0038] The optimization production line is established with reference to the main sorting production line, and the processing capacity of the optimization production line is reduced proportionally according to the processing capacity of the main sorting production line.

[0039] The detection unit is used to detect the optimization production line output rate when the optimization production line is running according to the optimal sorting parameters, and to detect the real-time main sorting production line output rate of the main sorting production line.

[0040] The control unit is used to compare the yield of the optimization production line and the yield of the main sorting production line. If the yield of the optimization production line is greater than the yield of the main sorting production line, the control unit will transfer the optimal sorting parameters to the main sorting production line.

[0041] Optionally, if the yield of the optimization production line is not greater than the yield of the main sorting production line, the control unit is further configured to obtain the continuous running time of the main sorting production line. If the continuous running time is greater than or equal to a time threshold, the optimal sorting parameters are recalculated by the simulation calculation unit. If the continuous running time is less than the time threshold, the optimal sorting parameters are recalculated by the simulation calculation unit when the continuous running time equals the time threshold.

[0042] The above-mentioned method for optimizing the sorting parameters in coking coal preparation plants follows a technical path of "data prediction - detection and verification - main line adjustment". Based on the principle of maximum yield, the optimal sorting parameters are calculated in advance and verified and optimized through the optimization production line. The detection system can reflect the actual production situation and then feed the data back to the main sorting production line of the coal preparation plant for adjustment. This method realizes the proactive optimization and pre-decision-making of sorting parameters, thereby maximizing economic benefits.

[0043] The above-mentioned method for optimizing the separation parameters of coking coal preparation plants accurately determines the optimal separation parameters for each separation stage through simulation calculation based on the principle of maximum yield and verification of the optimized production line. This ensures that the yield of clean coal is maximized while meeting the ash content standard, and significantly improves the comprehensive utilization level of coal resources.

[0044] The above-mentioned method for optimizing the separation parameters in coking coal preparation plants involves pre-verifying and determining the optimal separation parameters on the optimization production line before migrating them to the main separation production line. This avoids product quality fluctuations caused by improper parameter adjustments and improves the stability and pass rate of clean coal products.

[0045] The above-mentioned method for optimizing the separation parameters in coking coal preparation plants allows the optimization production line to be set up before the main production line. After 5 minutes of operation, the optimal separation parameters can be output. Moreover, the output parameters are all actual operating parameters of the optimization production line, which are more instructive than the simulated values. This method can efficiently, accurately, and reliably guide the production of coal preparation plants.

[0046] The above-mentioned method for optimizing the separation parameters in coking coal preparation plants avoids the waste of resources and product loss caused by trial-and-error adjustments on the main separation line. At the same time, the optimized line has a small processing capacity and low operating cost, which reduces the overall operating cost of the coal preparation plant and improves its economic efficiency.

[0047] The aforementioned method for optimizing the separation parameters in coking coal preparation plants integrates simulation calculation, online detection, bypass verification, and parameter migration, forming a closed-loop optimization control process. It can serve as an important component of the intelligent management and control platform for coking coal preparation plants, promoting the intelligent and refined development of the coal preparation process. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the structure of an optimization production line according to an embodiment of the present invention;

[0049] Figure 2 This is a schematic flowchart of a method for optimizing separation parameters in a coking coal preparation plant according to an embodiment of the present invention. Figure 1 ;

[0050] Figure 3 This is a schematic flowchart of a method for optimizing separation parameters in a coking coal preparation plant according to an embodiment of the present invention. Figure 2 ;

[0051] Figure 4 This is a schematic flowchart of a method for optimizing separation parameters in a coking coal preparation plant according to an embodiment of the present invention. Figure 3 ;

[0052] Figure 5 This is a beneficiation curve of raw coal with a particle size of 50mm-1mm according to an embodiment of the present invention;

[0053] Figure 6 This is a beneficiation curve for raw coal with a particle size of 1mm-0.25mm, according to an embodiment of the present invention.

[0054] Figure 7 This is a comprehensive coal washing curve according to an embodiment of the present invention.

[0055] In the attached diagram:

[0056] 1-Raw coal belt conveyor; 2-Belt sampler; 3-Bucket elevator; 4-50mm grading screen; 5-Crusher; 6-Buffer bin; 7-First ash and water meter; 8-First weighing feeder; 9-Desliming screen; 10-First centrifuge; 11-Second ash and water meter; 12-Second weighing feeder; 13-15mm grading screen; 14-Shallow trough separator; 15-Heavy medium cyclone separator; 16-Clean coal desliming screen; 17-Medium gangue desliming screen; 18-Second centrifuge; 19-Third ash and water meter; 20-Third weighing feeder Machine; 21-Classifying hydrocyclone; 22-Third centrifuge; 23-Fourth ash and water meter; 24-Fourth weighing feeder; 25-Interference bed separator; 26-Dewatering screen; 27-Fourth centrifuge; 28-Fifth ash and water meter; 29-Fifth weighing feeder; 30-First slurry ash and water meter; 31-Flotation machine; 32-Second slurry ash and water meter; 33-Clean coal filter press; 34-Flotation clean coal homogenization device; 35-Sixth ash and water meter; 36-Sixth weighing feeder; 37-Seventh ash and water meter; 38-Total clean coal belt conveyor. Detailed Implementation

[0057] The following detailed description, in conjunction with the accompanying drawings and specific embodiments, provides a further detailed explanation of the method and system for optimizing separation parameters in coking coal preparation plants proposed in this invention. The advantages and features of this invention will become clearer from the following description. It should be noted that the accompanying drawings are all in a very simplified form and use non-precise scales, and are only used to facilitate and clarify the illustration of the embodiments of this invention.

[0058] In this invention, "outer diameter" and "inner diameter" refer to the diameter of a circular structure, while for a non-circular structure, the inner diameter refers to the diameter of its inscribed circle and the outer diameter refers to the diameter of its circumscribed circle. "Axial direction" refers to the direction of the central axis of a cylindrical rod, while for a non-cylindrical rod, the axial direction refers to the length direction of the rod.

[0059] As used in this invention, the singular forms “a,” “an,” and “the” include plural objects; the term “or” is generally used to mean “and / or”; the term “a number” is generally used to mean “at least one”; and the term “at least two” is generally used to mean “two or more”. Furthermore, the terms “first,” “second,” and “third” are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with “first,” “second,” or “third” may explicitly or implicitly include one or at least two of that feature. Additionally, as used in this invention, “installed,” “connected,” “joined,” and “set” on one element by another should be interpreted broadly, generally indicating only a connection, coupling, mating, or transmission relationship between the two elements, which can be direct or indirect through an intermediate element. They should not be construed as indicating or implying a spatial positional relationship between the two elements, i.e., one element can be located inside, outside, above, below, or to one side of another element, unless otherwise explicitly stated. For those skilled in the art, the specific meaning of the above terms in this invention can be understood according to the specific circumstances. Furthermore, directional terms such as above, below, up, down, upward, downward, left, right, etc., are used relative to exemplary embodiments as shown in the figures, with upward or up direction pointing towards the top of the corresponding figure, and downward or down direction pointing towards the bottom of the corresponding figure.

[0060] This embodiment provides a method for optimizing separation parameters in a coking coal preparation plant. Before introducing the optimization method, it first combines... Figure 1 This section introduces the optimization production line, which is established with reference to the main sorting production line. The process of the optimization production line is consistent with that of the main sorting production line.

[0061] Combination Figure 1As shown, the optimized production line includes: 1. Raw coal belt conveyor; 2. Belt sampler; 3. Bucket elevator; 4. 50mm grading screen; 5. Crusher; 6. Buffer silo; 7. First ash and water meter; 8. First weighing feeder; 9. Desliming screen; 10. First centrifuge; 11. Second ash and water meter; 12. Second weighing feeder; 13. 15mm grading screen; 14. Shallow trough separator; 15. Heavy medium cyclone separator; 16. Clean coal desliming screen; 17. Medium gangue desliming screen; 18. Second centrifuge; 19. Third ash and water meter; 10. Third weighing screen. 20. Coal feeder, 21. Classifying hydrocyclone, 22. Third centrifuge, 23. Fourth ash and water meter, 24. Fourth weighing coal feeder, 25. Interference bed separator, 26. Dewatering screen, 27. Fourth centrifuge, 28. Fifth ash and water meter, 29. Fifth weighing coal feeder, 30. Slurry ash analyzer, 31. Flotation machine, 32. Second slurry ash and water meter, 33. Clean coal filter press, 34. Flotation clean coal homogenization device, 35. Sixth ash and water meter, 36. Sixth weighing coal feeder, 37. Seventh ash and water meter, and 38. Total clean coal belt conveyor.

[0062] The process of the aforementioned optimization production line should be consistent with the process flow of the main sorting production line in the coal preparation plant, with a focus on precise control of clean coal indicators and appropriate reduction of equipment processing capacity. The processing capacity of the optimization production line should be reduced proportionally to the processing capacity of the main sorting production line; for example, the processing capacity of the optimization production line could be set to approximately 5% of the processing capacity of the main sorting production line.

[0063] Combination Figure 1 As shown, the raw coal is taken off the raw coal belt conveyor 1 through the central sampling machine 2, and then lifted to the 50mm grading screen 4 by the bucket elevator 3 for 50mm grading. The raw coal is crushed by the crusher 5 and mixed with the undersize coal into the buffer bin 6. The first weighing feeder 8 is installed under the bin, and the first ash and water meter 7 is installed on the first weighing feeder 8 to detect the weight and quality of the raw coal in real time.

[0064] After data acquisition, the raw coal is transported to the desliming screen 9 for 1mm wet desliming. The raw coal with a particle size greater than 1mm on the screen is fed into the first centrifuge 10 for dewatering, and then into the second weighing feeder 12. The weight, ash content and moisture of the raw coal with a particle size of 50mm-1mm are monitored in real time by the second ash and water meter 11. After data acquisition, the raw coal is fed to the grading screen 13 for 15mm grading. Raw coal with a particle size greater than 15mm on the screen is fed into the shallow trough separator 14 for separation, while raw coal with a particle size less than or equal to 15mm on the screen is fed into the heavy medium cyclone separator 15 for separation. Both share a heavy medium system. The clean coal produced by the shallow trough separator 14 and the heavy medium cyclone separator 15 is dewatered by the clean coal dewatering screen 16 and then dewatered again by the second centrifuge 18 before being fed into the third weighing feeder 20. The weight, ash content and moisture content of the 50mm-1mm grade heavy medium clean coal are monitored in real time by the third ash and water meter 19. The medium gangue produced by the shallow trough separator 14 and the heavy medium cyclone separator 15 is dewatered by the medium gangue dewatering screen 17 before being fed into the raw coal belt conveyor.

[0065] The above-mentioned equipment constitutes a heavy media separation module, through which raw coal with a particle size of 50mm-1mm is separated by heavy media.

[0066] Raw coal with a particle size of 1 mm or less passing through the desliming screen 9 is fed into the classifying hydrocyclone 21 for 0.25 mm classification. Coarse coal slime with a particle size greater than 0.25 mm (1-0.25 mm) in the underflow is fed into the third centrifuge 22 for dewatering, and then into the fourth weighing feeder 24. The fourth ash and water meter 23 is used to monitor the quantity, ash content, and moisture of the 1 mm-0.25 mm coarse coal slime in real time. The collected data is then fed to the interference bed separator 25 for further separation. The coarse and clean coal slime separated by the interference bed separator 25 is dewatered by the fourth centrifuge 27 and then fed into the fifth weighing feeder 29. The fifth ash and water meter 28 is used to monitor the weight, ash content, and moisture of the 1 mm-0.25 mm coarse and clean coal slime in real time, and then fed into the total clean coal belt conveyor 38.

[0067] The above-mentioned devices constitute the interference sorting module, which sorts raw coal with a particle size of 1mm-0.25mm through interference.

[0068] After measuring the data of raw coal with a particle size of 50mm-0mm, raw coal with a particle size of 50mm-1mm, and coarse coal slime with a particle size of 1mm-0.25mm, the data of fine coal slime with a particle size of 0.25mm-0mm can be calculated. Flow meters, concentration meters, and slurry ash analyzers are installed on the fine coal slime pipeline for feedback and correction.

[0069] Fine coal slime with a particle size of 0.25 mm or less (0.25 mm - 0 mm) in the classifying hydrocyclone 21 is tested by the first slurry ash and water meter 30 and then fed into the flotation machine 31 for separation. The flotation clean coal produced by the flotation machine 31 is tested by the second slurry ash and water meter 32, dewatered by the clean coal filter press 33, and then fed into the flotation clean coal homogenization device 34. It is then fed into the sixth weighing feeder 36, and the weight, ash content, and moisture content of the 0.25 mm - 0 mm particle size flotation clean coal are monitored in real time by the sixth ash and water meter 35. Finally, it is fed into the total clean coal belt conveyor 38. The flotation tailings produced by the flotation machine 31 are fed into the thickener of the coal preparation plant.

[0070] The above-mentioned equipment constitutes the flotation separation module, which separates raw coal with a particle size of 0.25mm-0mm through flotation.

[0071] The various clean coals produced by heavy medium separation, interference separation and flotation separation are mixed and fed to the total clean coal belt conveyor 38. The total clean coal belt conveyor 38 is equipped with a seventh ash and water meter 37, as well as a high-precision belt scale and moisture meter to monitor the total clean coal in real time.

[0072] The aforementioned optimization production line includes three sorting modules: heavy medium sorting, interference sorting, and flotation sorting. In other alternative embodiments, the optimization production line may include two of the above three sorting modules, each of which includes a miniaturized sorting device of the same type as the sorting device corresponding to the main sorting production line but with reduced processing capacity.

[0073] In other alternative embodiments, considering the material adaptability issues after the reduction of equipment processing capacity, the heavy medium separation module can be simplified from three products to two products. After the hydrocyclone equipment model is reduced, the upper limit of the feed particle size is also reduced accordingly. The minimum φ350 two-product hydrocyclone has a particle size upper limit of 15mm. In order not to change the material properties, 50mm-15mm lump coal can be separated by shallow trough separator 14. The width of the shallow trough is B=0.61m, and it shares a heavy medium system with the hydrocyclone.

[0074] In this embodiment, the optimized production line process is "50mm lump coal crushing, 50mm-15mm lump coal heavy medium shallow trough + 15mm-1mm desliming pressurized / unpressurized three-product heavy medium hydrocyclone separation + 1mm-0.25mm interference bed separation + 0.25mm-0mm flotation". In other alternative embodiments, the optimized production line process can be set as "+50 (80)mm lump coal crushing, 50 (80)mm-15mm lump coal heavy medium shallow trough + 15mm-0mm non-desliming unpressurized three-product heavy medium hydrocyclone separation + coal slime heavy medium hydrocyclone separation + flotation", and the specific process of the optimized production line is determined according to the main process.

[0075] In this embodiment, a modular connection structure is preferably adopted between the various devices to achieve detachable connections between the sorting devices. The modular connection structure includes modular chutes and spliced ​​platform frames. The modular chute sections connected by detachable pipe joints or quick-release clamps enable detachable connections of the material conveying path between the sorting devices. The spliced ​​platform frames are used to support and position the various devices, and the spliced ​​platform frames are spliced ​​together by detachable connectors.

[0076] The following section, in conjunction with the aforementioned sorting production line, further introduces the method for optimizing sorting parameters in coking coal preparation plants.

[0077] Combination Figure 2 As shown, the method for optimizing the separation parameters in a coking coal preparation plant includes the following steps:

[0078] S1: Based on the screening and flotation data, simulation calculations are performed according to the principle of maximum yield to obtain the optimal separation parameters for each part of the main separation line: heavy media separation, interference separation (coarse coal slime separation), and flotation. These optimal separation parameters include the separation density of heavy media separation, the separation density of interference separation, and the reagent dosage for flotation. The separation density of heavy media separation can be set by the heavy media cyclone separator 15, and the separation density of interference separation can be set by the interference bed separator 25. Of course, the optimal separation parameters may also include parameters from other equipment in the main separation line.

[0079] The screening and sedimentation data includes the required ash content of the washed coal. Based on this ash content and combined with the principle of maximum yield (γ principle), the corresponding optimal sorting parameters are calculated. After the optimal sorting parameters are assigned to the above equipment, the theoretical yield obtained is the maximum yield.

[0080] S2: An optimization production line is established with reference to the main sorting production line. The processing capacity of the optimization production line is proportionally reduced to that of the main sorting production line. The optimization production line serves as a detection and optimization system to detect the optimal sorting parameters. The specific structure of the optimization production line is as described above and will not be repeated here.

[0081] Preferably, the optimization production line is a bypass production line (pilot production line) of the main sorting production line, that is, the optimization production line and the main sorting production line are connected in parallel. Figure 1 The raw coal belt conveyor 1 transports most of the raw coal to the main sorting line, while a small portion is transported to the optimization line via the belt sampler 2. At this time, the optimization line and the main sorting line can operate synchronously, and the raw coal source is the same.

[0082] S3: Assign the optimal sorting parameters to the optimization production line and run the optimization production line.

[0083] S4: Obtain the yield rate (pilot production rate) of the optimization production line and the yield rate (actual yield) of the main sorting production line of the actual production system (main sorting production line). If the yield rate of the optimization production line is greater than the yield rate of the main sorting production line, it means that the optimal sorting parameters are better than the existing parameters of the main sorting production line. At this time, proceed to step S5. If the yield rate of the optimization production line is not greater than the yield rate of the main sorting production line, it means that the optimal sorting parameters are worse than the existing parameters of the main sorting production line. Proceed to step S6.

[0084] S5: Transfer the optimal sorting parameters to the main sorting production line.

[0085] S6: Obtain the continuous running time of the main sorting production line. If the continuous running time is greater than or equal to the time threshold, then execute step S1. If the continuous running time is less than the time threshold, then execute step S1 when the continuous running time equals the time threshold.

[0086] The aforementioned continuous operating time of the main sorting line refers to the time during which the main sorting line operates according to the existing sorting parameters. In step S6, the main consideration is that if the continuous operating time of the main sorting line is too long, the quality of the raw coal being mined may change. In this case, the existing sorting parameters of the main sorting line are not suitable for the current coal quality. Therefore, by calibrating the aforementioned time threshold, the sorting parameters are updated periodically to adapt to the current coal quality.

[0087] The above-mentioned method for optimizing the sorting parameters in coking coal preparation plants follows a technical path of "data prediction - detection and verification - main line adjustment". Based on the principle of maximum yield, the optimal sorting parameters are calculated in advance and verified and optimized through the optimization production line. The detection system can reflect the actual production and then feed the data back to the main production line of the coal preparation plant for adjustment. This method realizes the proactive optimization and pre-decision decision-making of sorting parameters, thereby maximizing economic benefits.

[0088] The above-mentioned method for optimizing the separation parameters of coking coal preparation plants accurately determines the optimal separation parameters for each separation stage through simulation calculation based on the principle of maximum yield and verification of the optimized production line. This ensures that the yield of clean coal is maximized while meeting the ash content standard, and significantly improves the comprehensive utilization level of coal resources.

[0089] The above-mentioned method for optimizing the separation parameters in coking coal preparation plants involves pre-verifying and determining the optimal separation parameters on the production line before migrating them to the main production line. This avoids product quality fluctuations caused by improper parameter adjustments and improves the stability and pass rate of clean coal products.

[0090] The above-mentioned method for optimizing the separation parameters in coking coal preparation plants allows the optimization production line to be set up before the main production line. After 5 minutes of operation, the optimal separation parameters can be output. Moreover, the output parameters are all actual operating parameters of the optimization production line, which are more instructive than the simulated values. This method can efficiently, accurately, and reliably guide the production of coal preparation plants.

[0091] The above-mentioned method for optimizing the separation parameters of coking coal preparation plants avoids the waste of resources and product loss caused by trial-and-error adjustments on the main production line. At the same time, the optimized production line has a small processing capacity and low operating cost, which reduces the overall operating cost of the coal preparation plant and improves its economic efficiency.

[0092] The aforementioned method for optimizing the separation parameters in coking coal preparation plants integrates simulation calculation, online detection, bypass verification, and parameter migration, forming a closed-loop optimization control process. It can serve as an important component of the intelligent management and control platform for coking coal preparation plants, promoting the intelligent and refined development of the coal preparation process.

[0093] Furthermore, step S6 also includes:

[0094] During continuous operation, the coal quality parameters of the raw coal sorted by the main sorting line are acquired at set intervals, and the changes in the coal quality parameters are calculated; the coal quality parameters include, for example, the ash content and moisture content of the raw coal.

[0095] If the change exceeds a change threshold, it is considered that the raw coal quality has changed significantly. In this case, the sorting parameters are no longer applicable to the existing coal quality, and therefore need to be updated. Therefore, step S1 is executed if either the change exceeds a change threshold or the continuous operating time exceeds a time threshold. That is, step S1 is executed if either the change exceeds a change threshold or the continuous operating time exceeds a time threshold.

[0096] If the continuous running time is less than the time threshold and the change amount is less than or equal to the change threshold, the operation ends. When the continuous running time equals the time threshold, step S1 is executed.

[0097] Combination Figure 3 As shown, further, step S1 includes:

[0098] S1-1: Obtain the particle size range of heavy medium separation, interference separation and flotation; In this embodiment, the raw coal particle size range of heavy medium separation is 50mm-1mm, the raw coal particle size range of interference separation is 1mm-0.25mm, and the raw coal particle size range of flotation is 0.25mm-0mm.

[0099] S1-2: Based on the screening and floating data, draw the selectivity curves of raw coal in each particle size range, that is, draw the selectivity curves of raw coal in the particle size ranges of 50mm-1mm, 1mm-0.25mm and 0.25mm-0mm respectively.

[0100] The above selectivity curves can be plotted based on the buoyancy and sinking data of each part, in accordance with GB / T478-2008 "Test Methods for Float and Sinking of Coal".

[0101] S1-3: Based on the various washability curves and the feed ratios for each particle size range in actual production, calculate the overall basic ash yield and plot the overall washability curve for raw coal. Specifically, look up the yields of heavy media separation, interference separation, and flotation from each washability curve; calculate the overall yield according to the feed ratios for each particle size range; and plot the overall washability curve for raw coal based on the basic ash content and overall yield data.

[0102] S1-4: Based on the comprehensive coal washability curve and the ash content index of clean coal required by actual production, read the boundary ash content.

[0103] S1-5: Read the clean coal ash content on each of the selectivity curves based on the boundary ash content to obtain the clean coal ash content of raw coal in each particle size range;

[0104] S1-6: The optimal sorting parameters are derived by back-calculating the ash content of the raw coal in each particle size range.

[0105] Furthermore, step S3 includes the following steps:

[0106] S3-1: In the optimization production line, each piece of equipment is started from back to front. The initial sorting parameters of each piece of equipment are set based on experience. After all equipment is started, the sampler begins to sample and sort. The equipment is started from back to front to avoid the equipment not starting after the raw coal has arrived.

[0107] The sampling machine 2 in the middle of the optimization production line should be arranged on the raw coal belt conveyor 1 from the raw coal bunker to the preparation workshop / main plant. The raw coal belt conveyor 1 is designed with frequency conversion. When sampling, the speed of the belt conveyor is reduced to 0.8m / s.

[0108] After startup, it can be checked that all equipment is operating correctly, and the front and rear-end detection devices of the equipment begin to collect data; the detection device refers to... Figure 1 Each ash and water meter and each weighing coal feeder are arranged in a matching manner at the front and rear ends of the sorting equipment to facilitate the measurement of product output and quality.

[0109] Once the coal flow into and out of each device has stabilized and the data collected by the aforementioned detection devices has stabilized, proceed with step S3-2:

[0110] S3-2: Set the parameters of each device in order from front to back, and assign the optimal sorting parameters to each device (heavy medium cyclone 15, interference bed separator 25 and flotation machine 31) of the heavy medium separator, the interference separator and the flotation.

[0111] Furthermore, obtaining the yield of the optimization production line and the yield of the main sorting production line in step S4 includes:

[0112] The yield of the sorted products from the optimization production line is continuously calculated using an ash water meter and a weighing coal feeder, and the average value is taken as the yield of the optimization production line; specifically, through... Figure 1 The third ash and water meter 19 and the third weighing feeder 20 are used to statistically analyze the weight, ash content, and moisture content of the heavy medium clean coal product. The fifth ash and water meter 28 and the fifth weighing feeder 29 are used to detect the weight, ash content, and moisture content of the 1mm-0.25mm particle size coarse clean coal slime in real time. The sixth ash and water meter 35 and the sixth weighing feeder 36 are used to detect the weight, ash content, and moisture content of the 0.25mm-0mm particle size flotation clean coal in real time. The overall yield of the optimized production line is obtained.

[0113] The yield of the sorted products is continuously calculated by using data from the ash and water meter and the weighing feeder that are equipped with the main sorting production line, and the average value is taken as the yield of the main sorting production line.

[0114] This embodiment uses the parameter optimization of 50mm-1mm particle size heavy medium separation and 1mm-0.25mm particle size interference separation in a coal preparation plant as an example to illustrate the specific parameter optimization process:

[0115] The screening float-sink data of raw coal with a particle size of 50mm-1mm are shown in Table 1.

[0116] Table 1

[0117]

[0118] Based on Table 1, draw the washability curves for raw coal with a particle size of 50mm-1mm. See Table 1 for details. Figure 5 .

[0119] The screening float-sink data of raw coal with a particle size of 1mm-0.25mm are shown in Table 2;

[0120] Table 2

[0121]

[0122] Based on Table 2, the washability curves for raw coal with a particle size of 1 mm to 0.25 mm were plotted. (See table for details.) Figure 6 .

[0123] Based on the basic ash content data in Tables 1 and 2 above, the comprehensive raw coal screening float and sink data are calculated. The raw coal screening float and sink data are detailed in Table 3.

[0124] Based on Table 3, plot the comprehensive coal washability curve. (See table for details.) Figure 7 .

[0125] Table 3

[0126]

[0127] Table 4

[0128]

[0129] As shown in Table 4, Scheme 1 and Scheme 2 are presented in Table 4.

[0130] Option 1 involves calculating the clean coal boundary ash content based on the clean coal washout curves of raw coal with a particle size of 50mm-1mm and 1mm-0.25mm, according to the clean coal ash content requirements, and then obtaining the clean coal yield.

[0131] In actual production, the proportion of raw coal with a particle size of 50mm-1mm is 75%.

[0132] In actual production, the proportion of raw coal with a particle size of 1mm-0.25mm is 25%.

[0133] The ash content of the coal washing plant is required to be 10.50% of the clean coal ash content.

[0134] Washability curve of raw coal with a particle size of 50mm-1mm ( Figure 5 In the diagram, the lower horizontal axis represents ash content, the upper horizontal axis represents density, the left vertical axis represents float yield, the brown curve represents the float curve, the blue curve represents the ash content characteristic curve, and the purple curve represents the density curve. Other coordinates and curves are not covered in this embodiment and will not be elaborated upon here.

[0135] If production is based on the premise that the ash content of each component of the clean coal meets the standards, when the ash content of the clean coal is 10.50% (lower horizontal axis is 10.5), referring to the brown curve, the clean coal yield (left vertical axis of the brown curve) is 59.00%. Referring to the blue curve, when the left vertical axis is 59, the boundary ash content (lower horizontal axis corresponding to the blue curve) is 25.50%. Referring to the purple curve, when the left vertical axis is 59, the separation density (upper horizontal axis corresponding to the purple curve) is 1.49 kg / L.

[0136] Similarly, the washout curves for raw coal with particle sizes ranging from 1mm to 0.25mm ( Figure 6 It can be seen that when the ash content of clean coal is 10.50%, the clean coal yield is 60.00%, the boundary ash content is 31.50%, and the sorting density is 1.58 kg / L.

[0137] The calculated total yield is 59.25%.

[0138] Option 2 is the clean coal yield obtained by the above optimization method.

[0139] Based on the comprehensive coal selectivity curve ( Figure 7 According to the principle of maximum yield, when the ash content of clean coal is 10.50%, the boundary ash content is 27.00%.

[0140] Using a boundary ash content of 27.00% as an anchor, the washability curves of raw coal with a particle size of 50mm-1mm were analyzed. Figure 5 The washout curves for raw coal with a particle size of 1mm to 0.25mm () Figure 6 Read the ash content of clean coal.

[0141] Based on the washout curve of raw coal with a particle size of 50mm-1mm, it can be seen that when the boundary ash content is 27.00%, the ash content of clean coal is 11.00%, and the clean coal yield is 61.00%.

[0142] Based on the washout curve of raw coal with a particle size of 1mm to 0.25mm, it can be seen that when the boundary ash content is 27.00%, the ash content of the clean coal is 9.00%, and the clean coal yield is 59.00%. The overall yield is calculated to be 60.50%, which is greater than the overall yield of Scheme 1.

[0143] As shown in Table 4, Scheme 2 is based on the principle of maximum yield. Comparing the two schemes, under the condition that both coking coal meets the requirements, Scheme 2 has a higher yield of 1.25%.

[0144] Therefore, the ash content of the clean coal in the heavy medium separation is set at 11.00%, and the ash content of the clean coal in the interference separation is set at 9.00%. Based on the above ash content, the optimal separation parameters for the heavy medium separation and the interference separation are derived. These optimal separation parameters include the separation density of the heavy medium separation and the separation density of the interference separation.

[0145] Similarly, when it comes to heavy medium separation of 50mm-1mm particle size, interference separation of 1mm-0.25mm particle size, and flotation separation of 0.25mm-0mm particle size, the parameter optimization process is similar to the above process, and will not be repeated here.

[0146] This embodiment also provides a system for optimizing separation parameters in a coking coal preparation plant, including:

[0147] Simulation calculation unit, optimization production line, detection unit, and control unit;

[0148] The simulation calculation unit can be a computer application program, and its calculation process is detailed in step S1 above. The simulation calculation unit is used to perform simulation calculations based on the screening and flotation data and the principle of maximum yield to obtain the optimal separation parameters for each part of the main separation line, including heavy media separation, interference separation, and flotation. The optimal separation parameters include the separation density of heavy media separation, the separation density of interference separation, and the amount of reagent added for flotation.

[0149] The optimization production line is established with reference to the main sorting production line, and its processing capacity is proportionally reduced to that of the main sorting production line. The specific structure of the optimization production line is detailed in the optimization method described above, and will not be repeated here.

[0150] The detection unit is used to detect the yield of the optimization production line when it operates according to the optimal sorting parameters, and to detect the real-time yield of the main sorting production line. For example, the detection unit is... Figure 1 The coal feeder and ash analyzer, along with the detection unit, are integrated into the optimization production line and can be considered part of it.

[0151] The control unit is communicatively connected to the detection unit. The control unit receives data detected by the detection unit, stores preset optimization algorithms, and outputs optimal sorting parameters. The control unit is also communicatively connected to the control system of the main sorting line to transfer the optimal sorting parameters to the main sorting system.

[0152] Specifically, the control unit is used to compare the yield of the optimization production line with the yield of the main sorting production line. If the yield of the optimization production line is greater than the yield of the main sorting production line, the control unit will transfer the optimal sorting parameters to the main sorting production line.

[0153] Furthermore, if the yield of the optimization production line is not greater than the yield of the main sorting production line, the control unit is also used to obtain the continuous running time of the main sorting production line. If the continuous running time is greater than or equal to a time threshold, the optimal sorting parameters are recalculated by the simulation calculation unit. If the continuous running time is less than the time threshold, the optimal sorting parameters are recalculated by the simulation calculation unit when the continuous running time equals the time threshold.

[0154] In addition, the control unit is also used to acquire the coal quality parameters of the raw coal sorted by the main sorting line at set intervals during the continuous operation of the main sorting line, and to calculate the change in the coal quality parameters; the coal quality parameters are, for example, the ash content and moisture content of the raw coal.

[0155] If the change exceeds the change threshold, it is considered that the quality of the raw coal has changed significantly. In this case, the sorting parameters are not applicable to the existing coal quality, so the sorting parameters need to be updated.

[0156] Therefore, if the change amount is greater than the change threshold or the continuous running time is greater than or equal to the time threshold, the control unit sends a signal to the analog calculation unit to calculate the optimal sorting parameters. That is, if either the change amount is greater than the change threshold or the continuous running time is greater than or equal to the time threshold, the control unit sends a signal to the analog calculation unit to calculate the optimal sorting parameters.

[0157] The control unit typically includes at least one processor, which can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0158] The at least one processor can communicate with multiple peripheral devices via a bus subsystem. These peripheral devices may include storage systems, user interface input devices, user interface output devices, and network interfaces.

[0159] A network interface provides an interface to external networks and / or other devices. Network interfaces include one or more interfaces known in the art, such as LAN, WLAN, Bluetooth, other wired and wireless interfaces, etc.

[0160] User interface input devices may include keyboards, clicking devices such as mice, trackballs, touchpads or graphics tablets, scanners, foot pedals, joysticks, touchscreens embedded in displays, audio input devices such as voice recognition systems, microphones, and other types of input devices. Generally, the term "input device" is intended to encompass a variety of conventional and proprietary devices and methods for inputting information into a controller.

[0161] User interface output devices may include display subsystems, printers, fax machines, or non-visual displays such as audio output devices. Display subsystems may be flat panel devices, such as liquid crystal displays (LCDs), light-emitting diode (LED) displays, touchscreen displays, etc. Display subsystems may also provide non-visual displays, such as via audio output devices. Generally, the term "output device" is intended to encompass a variety of conventional and proprietary devices and methods for outputting information from a control unit to a user.

[0162] The storage system can store the basic program designs and data structures that implement the various functions of the present invention. For example, as described herein, databases and modules that implement the functions of the methods of the present invention can be stored in the storage system. These software modules are typically executed by a processor. In a distributed environment, software modules can be stored on multiple computer systems and executed by the processors of multiple computer systems. The storage system typically includes a memory subsystem and a file storage system. The memory subsystem typically includes multiple memories, including main random access memory (RAM) for storing instructions and data during program execution and read-only memory (ROM) in which fixed instructions are stored. The file storage subsystem provides permanent (non-volatile) storage for program and data files. The file storage system may include hard disk drives and associated removable media, disc drives (CDs), optical drives, DVDs, solid-state storage, and / or other removable media. One or more of these drives may be located at a remote location on another connected computer at another point connected to the control unit. Modules that implement the functions of the present invention can be stored by the file storage system.

[0163] The bus subsystem provides components that enable the various parts and subsystems of the control unit to communicate with each other as intended. The various subsystems and parts of the control unit do not need to be in the same physical location, but can be distributed across various locations within a distributed network. The bus subsystem can be a single bus, or multiple buses can be configured based on requirements.

[0164] The control unit described above is intended only as an example to illustrate just one embodiment of the invention. Due to the ever-changing nature of computers and networks, the control unit may also have a configuration that differs from the controller depicted above in other alternative embodiments, which will not be elaborated here.

[0165] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0166] The above description is merely a description of preferred embodiments of the present invention and is not intended to limit the scope of the present invention in any way. Any changes or modifications made by those skilled in the art based on the above disclosure shall fall within the protection scope of the claims.

Claims

1. A method for optimizing separation parameters in a coking coal preparation plant, characterized in that, Includes the following steps: S1: Based on the screening and floating data, simulation calculations are performed according to the principle of maximum yield to obtain the optimal separation parameters for each part of the main separation line, including heavy media separation, interference separation and flotation. The optimal separation parameters include the separation density of heavy media separation, the separation density of interference separation and the amount of reagent added for flotation. S2: Establish an optimization production line with reference to the main sorting production line, wherein the processing capacity of the optimization production line is proportionally reduced according to the processing capacity of the main sorting production line; S3: Assign the optimal sorting parameters to the optimization production line and run the optimization production line; S4: Obtain the optimization line yield of the optimization line and the main sorting line yield of the main sorting line. If the optimization line yield is greater than the main sorting line yield, proceed to step S5. S5: Transfer the optimal sorting parameters to the main sorting production line.

2. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 1, characterized in that, In step S4, if the yield of the optimization production line is not greater than the yield of the main sorting production line, then step S6 is executed. S6: Obtain the continuous running time of the main sorting production line under the existing sorting parameters. If the continuous running time is greater than or equal to the time threshold, then execute step S1. If the continuous running time is less than the time threshold, then execute step S1 when the continuous running time equals the time threshold.

3. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 2, characterized in that, Step S6 further includes: During continuous operation, the coal quality parameters of the raw coal sorted by the main sorting line are acquired at set intervals, and the changes in the coal quality parameters are calculated. If the change amount is greater than the change threshold or the continuous running time is greater than or equal to the time threshold, then step S1 is executed.

4. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 1, characterized in that, Step S1 includes: S1-1: Obtain the particle size range for heavy medium separation, interference separation, and flotation; S1-2: Plot the selectivity curves of raw coal in each particle size range based on the screening float-sink data; S1-3: Based on each sorting curve and the feed ratio of each sorting particle size range in actual production, calculate the overall basic ash yield and draw the overall raw coal sorting curve. S1-4: Based on the comprehensive washability curve of raw coal and the ash content index of clean coal required by actual production, read the boundary ash content; S1-5: Read the clean coal ash content on each of the selectivity curves based on the boundary ash content to obtain the clean coal ash content of raw coal in each particle size range; S1-6: The optimal sorting parameters are derived by back-calculating the ash content of the raw coal in each particle size range.

5. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 1, characterized in that, The optimization production line is a bypass production line of the main sorting production line.

6. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 1, characterized in that, Step S3 includes the following steps: S3-1: In the optimization production line, each piece of equipment is started from back to front. The initial sorting parameters of each piece of equipment are set according to experience. After all equipment is started, the sampler begins to sample and sort. S3-2: Set the parameters of each device in order from front to back, and assign the optimal sorting parameters to each device of the heavy medium sorting, the interference sorting, and the flotation respectively.

7. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 1, characterized in that, The step S4 of obtaining the yield of the optimization production line and the yield of the main sorting production line includes: The yield of the sorted products in the optimization production line is continuously statistically analyzed using an ash water meter and a weighing coal feeder, and the average value is taken as the yield of the optimization production line. The yield of the products after separation in the main sorting line is continuously calculated by using an ash water meter and a weighing coal feeder, and the average value is taken as the yield of the main sorting line.

8. The method for optimizing separation parameters in a coking coal preparation plant as described in claim 4, characterized in that, The step S1-3 of plotting the comprehensive raw coal washability curve includes: Query the yields of heavy medium separation, interference separation, and flotation from each selectivity curve; The overall yield is calculated based on the feed ratio for each sorting particle size range, and the overall coal washing efficiency curve is plotted based on the basic ash content and overall yield data.

9. A system for optimizing separation parameters in a coking coal preparation plant, characterized in that, include: Simulation calculation unit, optimization production line, detection unit, and control unit; The simulation calculation unit is used to perform simulation calculations based on the screening and floating data and the principle of maximum yield to obtain the optimal separation parameters for each part of the main separation line, including the heavy medium separation, interference separation and flotation. The optimal separation parameters include the separation density of the heavy medium separation, the separation density of the interference separation and the amount of reagent added for flotation. The optimization production line is established with reference to the main sorting production line, and the processing capacity of the optimization production line is reduced proportionally according to the processing capacity of the main sorting production line. The detection unit is used to detect the optimization production line output rate when the optimization production line is running according to the optimal sorting parameters, and to detect the real-time main sorting production line output rate of the main sorting production line. The control unit is used to compare the yield of the optimization production line and the yield of the main sorting production line. If the yield of the optimization production line is greater than the yield of the main sorting production line, the control unit will transfer the optimal sorting parameters to the main sorting production line.

10. The coking coal preparation plant separation parameter optimization system as described in claim 9, characterized in that, If the yield of the optimization production line is not greater than the yield of the main sorting production line, the control unit is further configured to obtain the continuous running time of the main sorting production line under the existing sorting parameters. If the continuous running time is greater than or equal to the time threshold, the optimal sorting parameters are recalculated by the simulation calculation unit. If the continuous running time is less than the time threshold, the optimal sorting parameters are recalculated by the simulation calculation unit when the continuous running time is equal to the time threshold.

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